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Dataset Report

Unique identifier:	BGDWP194.0.0
Title:	B-GOOD WP3 Field Data
Long title:	Dataset from the B-GOOD project, containing field data obtained from the implementation of the Field Protocols 1, 2, and 3 from WP3
Status:	Quality Validated
Current Version:	v. 1.0
Published:	2025-03-17
Reviewed by:	Rubinigg Michael as Data scientist
Citation proposal:	B-GOOD Bee Health Data Portal 2025 Report of dataset B-GOOD WP3 Field Data, v. 1.0 [BGDWP194.0.0]. EU Pollinator Hub. [2026-02-24] app.pollinatorhub.eu

Compliance with FAIR* principles
Findable	Accessible	Interoperable	Reusable
See https://www.go-fair.org/fair-principles for more information about FAIR principles

Data Quality

Good

This document is intended for use by collaborators of the EU Pollinator Hub and may be passed on with the express permission of the leader of the consortium and for the purpose determined by the leader of the consortium.

Table of content

Document history
1. Release
2. Revision
Abbreviations
Executive summary
Introduction
Material and methods
Data description
1. Dataset
2. Tables
References
Annex 1: Table column reports

Document history

Release

Version v. 1.0 released on 2025-03-17. Reviewed by Rubinigg Michael.

Revision

Table 1. List of revisions made to the document. Identifier of revision (No); date of revision (Date); description of revision (Description); reason for revision (Reason).

No	Date	Description	Reason
1	2025-03-17 00:03:00	Initial release.	n/a

Abbreviations

CSV

Comma-Separated Values

European Union

EUPH

EU Pollinator Hub

UCOI

Universidade de Coimbra (University of Coimbra)

Executive summary

Data overview:

The data was published by Alves da Silva A, Lopes S, Parreira T, Castro S, Bouuaert DC, McVeigh A, Alves J, Sousa JP (UCOI) on the B-GOOD Bee Health Data Portal as part of the B-GOOD project (grant agreement 817622), funded under the EU Horizon 2020 Research and Innovation Programme. It contains field data obtained from the implementation of the field protocols 1 (Assessment of plant species composition), 2 (Assessment of Phenology of Floral Resources), and 3 (Assessment and quantification of floral resources as well as flowering species characterization) in Belgium, Portugal and the United Kingdopm, developed under B-GOOD and described in Milestone MS15.

Data value:

The objectives of the B-GOOD project were: (1) Facilitate decision making for beekeepers and other stakeholders by establishing ready-to-use tools for operationalising the HSI; (2) Test, standardise and validate methods for measuring and reporting selected indicators affecting bee health; (3) Explore the various socio-economic and ecological factors beyond bee health; (4) Foster an EU community to collect and share knowledge related to honey bees and their environment; (5) Engender a lasting learning and innovation system (LIS); (6) Minimise the impact of biotic and abiotic stressors.

Data description:

n/a

Data application:

Currently, the data integrated from the B-GOOD Bee Health Data Portal contains major issues and does not comply with the FAIR Guiding Principles for scientific data management and stewardship applied on the EU Pollinator Hub. More descriptive information about the context, quality and condition, or characteristics of the data (e.g. protocols, measurement devices used, units of the captured data, or any other details about the study) must be provided. More metadata in the form of accurate and relevant attributes (e.g. metadata that describes the scope of the data has been described, any particularities or limitations about the data that other users should be aware of, specification of the date of generation/collection of the data, the lab conditions, who prepared the data, the parameter settings, the name and version of the software used, specification of whether it is raw or processed data, explanation of all variable names are explained if they are not self-explanatory) must be provided. Tha dataset requires major revisions by the data provider.

Unresolved issues:

n/a

Introduction

n/a

Material and methods

Data acquisition

All raw data files were downloaded from the B-GOOD Bee Health Data Portal on 2024-09-26 18:16:28.

List of raw data obtained from the data provider.

File field-data-protocol-1-be.xlsx, accessed on 2024-09-26 18:16:28, provided by B-GOOD Bee Health Data Portal
File field-data-protocol-1-pt.xlsx, accessed on 2024-09-26 18:16:28, provided by B-GOOD Bee Health Data Portal
File field-data-protocol-1-uk.xlsx, accessed on 2024-09-26 18:16:28, provided by B-GOOD Bee Health Data Portal
File field-data-protocol-2-be.xlsx, accessed on 2024-09-26 18:16:28, provided by B-GOOD Bee Health Data Portal
File field-data-protocol-2-pt.xlsx, accessed on 2024-09-26 18:16:28, provided by B-GOOD Bee Health Data Portal
File field-data-protocol-2-uk.xlsx, accessed on 2024-09-26 18:16:28, provided by B-GOOD Bee Health Data Portal
File field-data-protocol-3-part-1-be.xlsx, accessed on 2024-09-26 18:16:28, provided by B-GOOD Bee Health Data Portal
File field-data-protocol-3-part-1-pt.xlsx, accessed on 2024-09-26 18:16:28, provided by B-GOOD Bee Health Data Portal
File field-data-protocol-3-part-1-uk.xlsx, accessed on 2024-09-26 18:16:28, provided by B-GOOD Bee Health Data Portal
File field-data-protocol-3-part-2-be-pt-uk.xlsx, accessed on 2024-09-26 18:16:28, provided by B-GOOD Bee Health Data Portal

Metadata was obtained from the dataset's web page.

Table 2. List of raw data and metadata files included in the dataset. Identifier of table row (No); name of the file (File); the type of the file (Type); file contains data (D); file contains metadata (M); date of upload of the file to the EU Pollinator Hub (Arrival); number of data points contained within the file (if applicable); uploaded file size.

No	File	Type	D	M	Arrival	Data points	File size
1	Field Data Protocol 1 BE_PREP_MR_241030.csv	CSV - Comma seperated values	Yes	No	2024-10-30 19:10:38	181,548	2.66 MiB
2	Field Data Protocol 1 PT_PREP_MR_241030.csv	CSV - Comma seperated values	Yes	No	2024-10-30 19:10:08	304,110	2.86 MiB
3	Field Data Protocol 1 UK_PREP_MR_241030.csv	CSV - Comma seperated values	Yes	No	2024-10-30 19:10:44	10,260	87.08 KiB
4	Field Data Protocol 2 BE_PREP_MR_241031.csv	CSV - Comma seperated values	Yes	No	2024-11-01 09:11:18	252,000	2.00 MiB
5	Field Data Protocol 2 PT_PREP_MR_241031.csv	CSV - Comma seperated values	Yes	No	2024-11-12 13:11:30	534,954	3.75 MiB
6	Field Data Protocol 2 UK_PREP_MR_241031.csv	CSV - Comma seperated values	Yes	No	2024-11-01 09:11:12	52,360	380.74 KiB
7	Field Data Protocol 3 Part 1 BE_PREP_MR_241101.csv	CSV - Comma seperated values	Yes	No	2024-11-01 11:11:54	22,080	162.91 KiB
8	Field Data Protocol 3 Part 1 PT_PREP_MR_241101.csv	CSV - Comma seperated values	Yes	No	2024-11-01 11:11:22	78,982	592.75 KiB
9	Field Data Protocol 3 Part 1 UK_PREP_MR_241101.csv	CSV - Comma seperated values	Yes	No	2024-11-01 11:11:46	27,002	164.18 KiB
10	Field Data Protocol 3 Part 2 BE PT UK_PREP_MR_241031.csv	CSV - Comma seperated values	Yes	No	2024-11-01 12:11:46	1,066	6.75 KiB

Data preparation

All files in the zip-archives were extracted using File Explorer (Microsoft Corporation, version 22H2).

Files field-data-protocol-1-be.xlsx, field-data-protocol-1-pt.xlsx and field-data-protocol-1-uk.xlsx were opened with MS Excel (Microsoft Corporation, version 2409). The worksheets were exported to data files in CSV format (UTF-8 encoding) and imported into Notepad++ (version 8.7) where missing values were substituted by {NULL} using regular expressions, decimal points were converted to a baseline dot using regular expression ((?<=\d),(?=\d) replaced with .) and the first row of each data file containing information related to the header row was transferred into as separate header file. The data file was unpivoted using the Python script UnpivotToCsv.py while the header file was rotated using the Python script TransposeCsv.py. The data in both files was subsequently merged using a SQL database (MariaDB foundation, server version 10.4.32) running in an XAMPP environment (BitRock, version 5.2.1).

Files field-data-protocol-2-be.xlsx, field-data-protocol-2-pt.xlsx and field-data-protocol-2-uk.xlsx were opened with MS Excel (Microsoft Corporation, version 2409). The worksheets were exported to data files in CSV format (UTF-8 encoding) and imported into Notepad++ (version 8.7) where missing values were substituted by {NULL} using regular expressions, decimal points were converted to a baseline dot using regular expression ((?<=\d),(?=\d) replaced with .) and the first 2 rows of each data file containing information related to the header row was transferred into as separate header file. The data file was unpivoted using the Python script UnpivotToCsv.py while the header file was rotated using the Python script TransposeCsv.py. Dates were parsed to the required YYYY-MM-DD format using the python script ParseDates.py. The data in both files was subsequently merged using a SQL database (MariaDB foundation, server version 10.4.32) running in an XAMPP environment (BitRock, version 5.2.1).

Files field-data-protocol-3-part-1-be.xlsx, field-data-protocol-3-part-1-pt.xlsx and field-data-protocol-3-part-1-uk.xlsx were opened with MS Excel (Microsoft Corporation, version 2409) where missing colums were added and the first rows of each data file containing information related to the header row was deleted, as it contained no information that was considered necesary to be included in the data file. The worksheets were exported to data files in CSV format (UTF-8 encoding) and imported into Notepad++ (version 8.7) where missing values were substituted by {NULL} using regular expressions, decimal points were converted to a baseline dot using regular expression ((?<=\d),(?=\d) replaced with .). Dates were parsed to the required YYYY-MM-DD format using the python script ParseDates.py.

File field-data-protocol-3-part-2-be-pt-uk.xlsx was opened with MS Excel (Microsoft Corporation, version 2409) where the first row containing information related to the header row was deleted, as it contained no information that was considered necesary to be included in the data file. The worksheet was exported to a data file in CSV format (UTF-8 encoding) and imported into Notepad++ (version 8.7) where missing values were substituted by {NULL} using regular expressions, decimal points were converted to a baseline dot using regular expression ((?<=\d),(?=\d) replaced with .).

Data was then exported to the respective preparatory files and uploaded to the EU Pollinator Hub according to SOP-017 (Dataset integration.

Data validation

No data validation was performed.

Data analysis

No data analysis was performed.

Data description

Dataset

Table 3. Summary of tables belonging to the dataset. Table row identifier (No); name of the table (Table); description of the table (Description).

No	Table	Description
1	Field Data Protocol 1 BE	Field Data Protocol 1 Belgium
2	Field Data Protocol 1 PT	Field Data Protocol 1 Portugal
3	Field Data Protocol 1 UK	Field Data Protocol 1 United Kingdom
4	Field Data Protocol 2 BE	Field Data Protocol 2 Belgium
5	Field Data Protocol 2 PT	Field Data Protocol 2 Portugal
6	Field Data Protocol 2 UK	Field Data Protocol 2 United Kingdom
7	Field Data Protocol 3-1 BE	Field Data Protocol 3 - Part 1 Belgium
8	Field Data Protocol 3-1 PT	Field Data Protocol 3 - Part 1 Portugal
9	Field Data Protocol 3-1 UK	Field Data Protocol 3 - Part 1 United Kingdom
10	Field Data Protocol 3-2 All	Field Data Protocol 3 - Part 2 Belgium, Portugal, United Kingdom

Table 4. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
interactions.single.uid	BGDWP194.0.0
Title	B-GOOD WP3 Field Data
Long title	Dataset from the B-GOOD project, containing field data obtained from the implementation of the Field Protocols 1, 2, and 3 from WP3
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/BGDWP194.0.0
interactions.single.section-details.licence	CC BY-NC-ND 4.0
DOI	n/a
Created	2024-10-30
Published	2025-03-17
Contact	n/a
Keywords	abundance, cover, floral resources, flower, nectar, phenology, plant, pollen, species composition
Data collection years	n/a
Regions, the data was collected in	Belgique/België, Portugal, United Kingdom
Abstract	The dataset contains field data on floral resources from 3 locations in 2020-2021 in Belgium, Poirtugal and United Kingdom. It was published by Alves da Silva A, Lopes S, Parreira T, Castro S, Bouuaert DC, McVeigh A, Alves J, Sousa JP (UCOI) on the B-GOOD Bee Health Data Portal as part of the B-GOOD project (grant agreement 817622), funded under the EU Horizon 2020 Research and Innovation Programme.

Table 5. Standardised metadata of the data provider B-GOOD Bee Health Data Portal. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Name	B-GOOD Bee Health Data Portal
Url
Acronym	B-GOOD
IRI	https://app.pollinatorhub.eu/data-providers/b-good-bee-health-data-portal
Address	https://b-good-project.eu
Country	Belgium
Contact	b-good-project.eu
Description	Project funded by the EU Horizon 2020 Research and Innovation Programme under grant agreement No 817622. Project website: https://b-good-project.eu

Tables

Field Data Protocol 1 BE

Table 6. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	BGDWP194.FLDDT467.0
Name	Field Data Protocol 1 BE
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP194.FLDDT467.0
Table Type	File
Licence	CC BY-NC-ND 4.0
Description	Field Data Protocol 1 Belgium

Field Data Protocol 1 Belgium

Metadata

n/a

Table 7. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Column Description	Datatype	Descriptor	Unit
Sampling	Not specified by the provider of Field Data Protocol 1 PT.	String	Text [0.0.TEXTA315]	n/a
Plant community	Not specified by the data provider. Obviously the name of a plant community, but no reference for the taxonomy (data standard) applied has been given.	String	Text [0.0.TEXTA315]	n/a
ID	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Species	Name of the plant species.	String	dwc:scientificName [0.0.SCNTF503]	n/a
lifeform	Not specified by the data provider. Obviously the life (growth) form of the plant, but no reference for the taxonomy (data standards) applied has been given.	String	Text [0.0.TEXTA315]	n/a
value	Not specified by the data provider.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 8. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling	0 - 0	n/a		n/a	n/a	n/a		30,258	30,258 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
Plant community	8 - 35	n/a	Hayfield	n/a	n/a	n/a	Tall herbs w…	30,258	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	10 ( 0.0% )
ID	15 - 72	n/a	hayfield 1 n…	n/a	n/a	n/a	wet haylands…	30,258	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	246 ( 0.8% )
Species	10 - 40	n/a	Cornus mas	n/a	n/a	n/a	Lamiastrum g…	30,258	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	123 ( 0.4% )
lifeform	4 - 5	n/a	Tree	n/a	n/a	n/a	Shrub	30,258	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )
value	1 - 3	29.5	1	5	15	40	110	30,258	29,337 ( 97.0% )	0 ( 0.0% )	0 ( 0.0% )	25 ( 0.1% )

Quality measures

Table 9. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling	0.00%	0.00%	null	null
Plant community	100.00%	0.03%	Wet haylands with Caltha palustris	Broadleaved forest
ID	100.00%	0.81%	broadleaved forest 1 nr 1	broadleaved forest 1 nr 1
Species	100.00%	0.41%	Acer campestre	Acer campestre
lifeform	100.00%	0.01%	Herb	Tree
value	3.04%	0.08%	null	3

Changes made to preparatory file

Column Sampling was added and fileld with {NULL} in order to create a standardised data structure in all files (field-data-protocol-1-be.xlsx, field-data-protocol-1-pt.xlsx and field-data-protocol-1-uk.xlsx) that contain the same information.

Changes made to data

Missing values in column Sampling (246 occurrences) were replaced by {NULL}.
Missing values (29339 occurrences) in all columns describing a plant species were replaced by {NULL}.
The attribute "Schrub" (21 occurrences) was changed to "Shrub" on the assumption that it was a spelling error.

Unresolved issues

For column Plant community it is unclear, which taxonomy (data standard) has been used for the attributes describing the various plant communities. The data provider is requested to make this information available.
For column ID it is unclear, what the identifier refers to. The data provider is requested to make this information available.
For column Species it is unclear, if a particular nomenclature has been used for the names of the species. The data provider is requested to make this information available, if possible.
For column lifeform it is unclear, which taxonomy (data standard) has been used for the attributes describing the life form of a particular plant species. The data provider is requested to make this information available, if possible.
For column value it is unclear, what the reported variable actually is and in which unit it is provided.

Field Data Protocol 1 PT

Table 10. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	BGDWP194.FLDDT468.0
Name	Field Data Protocol 1 PT
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP194.FLDDT468.0
Table Type	File
Licence	CC BY-NC-ND 4.0
Description	Field Data Protocol 1 Portugal

Field Data Protocol 1 Portugal

Metadata

n/a

Table 11. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Column Description	Datatype	Descriptor	Unit
Sampling	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Plant community	Not specified by the data provider. Obviously the name of a plant community, but no reference for the taxonomy (data standard) applied has been given.	String	Text [0.0.TEXTA315]	n/a
ID	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Species	Name of the plant species.	String	dwc:scientificName [0.0.SCNTF503]	n/a
lifeform	Not specified by the data provider. Obviously the life (growth) form of the plant, but no reference for the taxonomy (data standards) applied has been given.	String	Text [0.0.TEXTA315]	n/a
value	Not specified by the data provider.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 12. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling	5 - 13	n/a	Douro	n/a	n/a	n/a	Idanha-a-Nov…	50,685	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )
Plant community	5 - 18	n/a	Scrub	n/a	n/a	n/a	MaritimePine…	50,685	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	15 ( 0.0% )
ID	5 - 13	n/a	V.1.2	n/a	n/a	n/a	N.Pl.Fl.R.1.…	50,685	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	155 ( 0.3% )
Species	8 - 49	n/a	Rosa sp.	n/a	n/a	n/a	Ranunculus o…	50,685	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	327 ( 0.6% )
lifeform	4 - 5	n/a	Tree	n/a	n/a	n/a	Shrub	50,685	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )
value	1 - 11	7.6547848100	1	1	5	10	95	50,685	48,710 ( 96.1% )	0 ( 0.0% )	0 ( 0.0% )	49 ( 0.1% )

Quality measures

Table 13. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling	100.00%	0.01%	Lousã	Douro
Plant community	100.00%	0.03%	Scrub	PermPasture
ID	100.00%	0.31%	M.P.F.1.1	M.P.F.1.1
Species	100.00%	0.65%	Acacia dealbata	Acacia dealbata
lifeform	100.00%	0.01%	Herb	Tree
value	3.90%	0.10%	null	30.5

Changes made to preparatory file

n/a

Changes made to data

Missing values (48710 occurrences) in all columns describing a plant species were replaced by {NULL}.

Unresolved issues

For column Sampling it is unclear, what it contains. The data provider is requested to make this information available.
For column Plant community it is unclear, which taxonomy (data standard) has been used for the attributes describing the various plant communities. The data provider is requested to make this information available.
For column ID it is unclear, what the identifier refers to. The data provider is requested to make this information available.
For column Species it is unclear, if a particular nomenclature has been used for the names of the species. The data provider is requested to make this information available, if possible.
For column lifeform it is unclear, which taxonomy (data standard) has been used for the attributes describing the life form of a particular plant species. The data provider is requested to make this information available, if possible.
For column value it is unclear, what the reported variable actually is and in which unit it is provided.

Field Data Protocol 1 UK

Table 14. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	BGDWP194.FLDDT469.0
Name	Field Data Protocol 1 UK
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP194.FLDDT469.0
Table Type	File
Licence	CC BY-NC-ND 4.0
Description	Field Data Protocol 1 United Kingdom

Field Data Protocol 1 United Kingdom

Metadata

n/a

Table 15. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Column Description	Datatype	Descriptor	Unit
Sampling	Not specified by the provider of Field Data Protocol 1 PT.	String	Text [0.0.TEXTA315]	n/a
Plant community	Not specified by the data provider. Obviously the name of a plant community, but no reference for the taxonomy (data standard) applied has been given.	String	Text [0.0.TEXTA315]	n/a
ID	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Species	Name of the plant species.	String	dwc:scientificName [0.0.SCNTF503]	n/a
lifeform	Not specified by the data provider. Obviously the life (growth) form of the plant, but no reference for the taxonomy (data standards) applied has been given.	String	Text [0.0.TEXTA315]	n/a
value	Not specified by the data provider.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 16. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling	0 - 0	n/a		n/a	n/a	n/a		1,710	1,710 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Plant community	6 - 17	n/a	Hedges	n/a	n/a	n/a	Natural Wet…	1,710	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.3% )
ID	4 - 6	n/a	H1.1	n/a	n/a	n/a	NWG3.3	1,710	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	45 ( 2.6% )
Species	8 - 25	n/a	Acer sp.	n/a	n/a	n/a	Pentaglottis…	1,710	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	38 ( 2.2% )
lifeform	4 - 5	n/a	Tree	n/a	n/a	n/a	Shrub	1,710	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.2% )
value	1 - 11	39.4641089100	5	10	25	69.28571429	100	1,710	1,508 ( 88.2% )	0 ( 0.0% )	0 ( 0.0% )	91 ( 5.3% )

Quality measures

Table 17. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling	0.00%	0.06%	null	null
Plant community	100.00%	0.29%	Deciduous Forest	Deciduous Forest
ID	100.00%	2.63%	DF1.1	DF1.1
Species	100.00%	2.22%	Acer pseudoplantanus	Acer pseudoplantanus
lifeform	100.00%	0.18%	Herb	Shrub
value	11.81%	5.32%	null	76.42857143

Changes made to preparatory file

Column Sampling was added and fileld with {NULL} in order to create a standardised data structure in all files (field-data-protocol-1-be.xlsx, field-data-protocol-1-pt.xlsx and field-data-protocol-1-uk.xlsx) that contain the same information.

Changes made to data

Missing values in column Sampling (45 occurrences) were replaced by {NULL}.
Missing values (1508 occurrences) in all columns describing a plant species were replaced by {NULL}.

Unresolved issues

For column Plant community it is unclear, which taxonomy (data standard) has been used for the attributes describing the various plant communities. The data provider is requested to make this information available.
For column ID it is unclear, what the identifier refers to. The data provider is requested to make this information available.
For column Species it is unclear, if a particular nomenclature has been used for the names of the species. The data provider is requested to make this information available, if possible.
For column lifeform it is unclear, which taxonomy (data standard) has been used for the attributes describing the life form of a particular plant species. The data provider is requested to make this information available, if possible.
For column value it is unclear, what the reported variable actually is and in which unit it is provided.

Field Data Protocol 2 BE

Table 18. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	BGDWP194.FLDDT470.0
Name	Field Data Protocol 2 BE
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP194.FLDDT470.0
Table Type	File
Licence	CC BY-NC-ND 4.0
Description	Field Data Protocol 2 Belgium

Field Data Protocol 2 Belgium

Metadata

n/a

Table 19. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Column Description	Datatype	Descriptor	Unit
Replica	Not specified by the data provider. Presumably the designation of the replicate of a sample plot.	String	Text [0.0.TEXTA315]	n/a
Individual	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	n/a
Latitude	Not specified by the data provider. Presumably the latitude of the geographical position in WGS 84 format of the location in which the observation was recorded..	Decimal number	dwc:decimalLatitude [0.0.LTTDE333]	°
Longitude	Not specified by the data provider. Presumably the longitude of the geographical position in WGS 84 format of the location in which the observation was recorded.	Decimal number	dwc:decimalLongitude [0.0.LNGTD332]	°
Elevation	Not specified by the data provider. Presumably height above mean sea level of the location in which the observation was recorded.	Decimal number	pms:heightAboveMeanSeaLevel [0.0.HGHTB393]	m
Species	Not specified by the data provider. Presumably the species to which the recorded observation refers to.	String	dwc:scientificName [0.0.SCNTF503]	n/a
BBCH 60	Not specified by the data provider.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
BBCH 65	Not specified by the data provider.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
BBCH 69	Not specified by the data provider.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
Week	Not specified by the data provider. Presumably the calendar week of the year in which the observation was recorded.	Integer number	iso-8601:calendarWeekOfYear [0.0.CLNDR514]	n/a
Sampling	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	n/a
datatype	Data type of the value given in column value {decimal, text}.	String	Text [0.0.TEXTA315]	n/a
variable	variable reported in column value.	String	Text [0.0.TEXTA315]	n/a
value	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 20. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Replica	8 - 21	n/a	Sterre 1	n/a	n/a	n/a	na kruispunt…	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	26 ( 0.1% )
Individual	1 - 1	3.0	1	2	3	4	5	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.0% )
Latitude	7 - 9	51.0520842	51.025099	51.03836625	51.052804	51.066932	51.077753	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	25 ( 0.1% )
Longitude	7 - 8	3.6771414	3.572587	3.65415125	3.685298	3.70848275	3.718831	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	25 ( 0.1% )
Elevation	2 - 2	10.0	10	10	10	10	10	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
Species	10 - 20	n/a	Salix alba	n/a	n/a	n/a	Robinia pseu…	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	20 ( 0.1% )
BBCH 60	10 - 10	2,021.0	2021-01-03	2,021	2,021	2,021	2021-09-21	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	22 ( 0.1% )
BBCH 65	10 - 10	2,021.0	2021-01-03	2,021	2,021	2,021	2021-09-21	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	19 ( 0.1% )
BBCH 69	10 - 10	2,021.0	2021-01-03	2,021	2,021	2,021	2021-11-30	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	21 ( 0.1% )
Week	1 - 2	18.0	1	9	18	27	35	18,000	500 ( 2.8% )	0 ( 0.0% )	0 ( 0.0% )	36 ( 0.2% )
Sampling	1 - 2	18.0	1	9	18	27	35	18,000	500 ( 2.8% )	0 ( 0.0% )	0 ( 0.0% )	36 ( 0.2% )
datatype	4 - 7	n/a	text	n/a	n/a	n/a	decimal	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.0% )
variable	5 - 10	n/a	Notes	n/a	n/a	n/a	2021-02-08	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	36 ( 0.2% )
value	0 - 59	n/a		n/a	n/a	n/a	*UNUSUALLY L…	18,000	15,698 ( 87.2% )	1,344 ( 7.5% )	0 ( 0.0% )	20 ( 0.1% )

Quality measures

Table 21. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Replica	100.00%	0.14%	Sterre 1	Blaarmeersen 1
Individual	100.00%	0.03%	4	4
Latitude	100.00%	0.14%	51.025099	51.065379
Longitude	100.00%	0.14%	3.712779	3.67138
Elevation	100.00%	0.01%	10	10
Species	100.00%	0.11%	Prunus avium	Prunus avium
BBCH 60	100.00%	0.12%	2021-06-15	2021-03-02
BBCH 65	100.00%	0.11%	2021-03-05	2021-03-15
BBCH 69	100.00%	0.12%	2021-06-25	2021-10-28
Week	97.22%	0.20%	21	21
Sampling	97.22%	0.20%	21	21
datatype	100.00%	0.01%	decimal	text
variable	100.00%	0.20%	2021-06-03	2021-06-03
value	12.79%	0.11%	null	DIFFICULT TO JUDGE IF FLOWERS BELONG TO THE SAME PLANT

Changes made to preparatory file

A colmun datatype was intriduced in which the data type of column value is defined.

Changes made to data

Missing values marked with {NA} (15200 occurrences) were replaced by {NULL}.
All remaining missing values in column Notes (498 occurrences) in all columns were replaced by {NULL}.
In column Week of the headers file, the prefix {Week #} of week numbers (35 occurrences) was removed in order to standardise the content of the column across all tables containing the same information.

Unresolved issues

For column Replica it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide a more precise information.
For column Individual it is unclear what it describes. The data provider is requested to make this information available.
For column Latitude it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide this information.
For column Longitude it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide this information.
For column Elevation it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide this information.
For column Species it is unclear, if a particular nomenclature has been used for the names of the species. The data provider is requested to make this information available, if possible.
For column BBCH 60 it is unclear what it describes. The data provider is requested to make this information available.
For column BBCH 65 it is unclear what it describes. The data provider is requested to make this information available.
For column BBCH 69 it is unclear what it describes. The data provider is requested to make this information available.
For column Sampling it is unclear what it describes. The data provider is requested to make this information available.
For column value it is unclear, what the reported variable actually is and in which unit it is provided.

Field Data Protocol 2 PT

Table 22. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	BGDWP194.FLDDT471.0
Name	Field Data Protocol 2 PT
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP194.FLDDT471.0
Table Type	File
Licence	CC BY-NC-ND 4.0
Description	Field Data Protocol 2 Portugal

Field Data Protocol 2 Portugal

Metadata

n/a

Table 23. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Column Description	Datatype	Descriptor	Unit
Replica	Not specified by the data provider. Presumably the designation of the replicate of a sample plot.	String	Text [0.0.TEXTA315]	n/a
Individual	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	n/a
Latitude	Not specified by the data provider. Presumably the latitude of the geographical position in WGS 84 format of the location in which the observation was recorded.	Decimal number	dwc:decimalLatitude [0.0.LTTDE333]	°
Longitude	Not specified by the data provider. Presumably the longitude of the geographical position in WGS 84 format of the location in which the observation was recorded.	Decimal number	dwc:decimalLongitude [0.0.LNGTD332]	°
Elevation	Not specified by the data provider. Presumably height above mean sea level of the location in which the observation was recorded.	Decimal number	pms:heightAboveMeanSeaLevel [0.0.HGHTB393]	m
Species	Not specified by the data provider. Presumably the species to which the recorded observation refers to.	String	dwc:scientificName [0.0.SCNTF503]	n/a
BBCH 60	Not specified by the data provider.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
BBCH 65	Not specified by the data provider.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
BBCH 69	Not specified by the data provider.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
Week	Not specified by the data provider. Presumably the calendar week of the year in which the observation was recorded.	Integer number	iso-8601:calendarWeekOfYear [0.0.CLNDR514]	n/a
Sampling	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	n/a
datatype	Data type of the value given in column value {decimal, text}.	String	Text [0.0.TEXTA315]	n/a
variable	variable reported in column value.	String	Text [0.0.TEXTA315]	n/a
value	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 24. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Replica	3 - 4	n/a	AA1	n/a	n/a	n/a	SL13	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	36 ( 0.1% )
Individual	1 - 2	3.5	1	2	3	5	10	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	10 ( 0.0% )
Latitude	8 - 9	40.2021699	39.508028	40.23397	40.23976	40.24695	40.851464	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	32 ( 0.1% )
Longitude	8 - 9	-7.9815660	-9.039889	-8.309625	-7.71009	-7.70519	-7.446037	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	32 ( 0.1% )
Elevation	2 - 3	504.1	76	336	592	631	824	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	31 ( 0.1% )
Species	8 - 22	n/a	Ulex sp.	n/a	n/a	n/a	Rosmarinus o…	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	40 ( 0.1% )
BBCH 60	0 - 10	2,020.0	2020-02-05	2,020	2,020	2,020	2021-12-26	38,211	17,249 ( 45.1% )	0 ( 0.0% )	0 ( 0.0% )	33 ( 0.1% )
BBCH 65	0 - 10	2,020.0	2020-02-05	2,020	2,020	2,020	2021-11-06	38,211	7,473 ( 19.6% )	0 ( 0.0% )	0 ( 0.0% )	49 ( 0.1% )
BBCH 69	0 - 10	2,020.0	2020-02-05	2,020	2,020	2,020	2021-12-26	38,211	14,147 ( 37.0% )	0 ( 0.0% )	0 ( 0.0% )	32 ( 0.1% )
Week	1 - 2	17.8	1	6	17	28	39	38,211	1,626 ( 4.3% )	0 ( 0.0% )	0 ( 0.0% )	39 ( 0.1% )
Sampling	1 - 2	17.8	1	6	17	28	39	38,211	1,626 ( 4.3% )	0 ( 0.0% )	0 ( 0.0% )	39 ( 0.1% )
datatype	4 - 7	n/a	text	n/a	n/a	n/a	decimal	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.0% )
variable	5 - 23	n/a	Notes	n/a	n/a	n/a	20 weeks of…	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	47 ( 0.1% )
value	0 - 150	n/a		n/a	n/a	n/a	BBCH69: the…	38,211	23,834 ( 62.4% )	9,973 ( 26.1% )	0 ( 0.0% )	121 ( 0.3% )

Quality measures

Table 25. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Replica	100.00%	0.09%	SL2	LM1
Individual	100.00%	0.03%	1	8
Latitude	100.00%	0.08%	40.23976	39.920843
Longitude	100.00%	0.08%	-7.71009	-8.655352
Elevation	100.00%	0.08%	631	121
Species	100.00%	0.10%	Rubus ulmifolius	Hypericum perforatum
BBCH 60	54.86%	0.09%	null	2021-12-26
BBCH 65	80.44%	0.13%	null	2020-08-29
BBCH 69	62.98%	0.08%	null	2021-01-24
Week	95.74%	0.10%	2	14
Sampling	95.74%	0.10%	2	14
datatype	100.00%	0.01%	decimal	text
variable	100.00%	0.12%	2020-09-04	2020-09-04
value	37.63%	0.32%	null	Cut off on 13/06/2020

Changes made to preparatory file

A colmun datatype was intriduced in which the data type of column value is defined.

Changes made to data

Missing values marked with {NA} (24223 occurrences) were replaced by {NULL}.
1. In column Week of the headers file, the prefix {Week #} and {Week#} of week numbers (45 occurrences) was removed in order to standardise the content of the column across all tables containing the same information.

Unresolved issues

For column Replica it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide a more precise information.
For column Individual it is unclear what it describes. The data provider is requested to make this information available.
For column Latitude it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide this information.
For column Longitude it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide this information.
For column Elevation it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide this information.
For column Species it is unclear, if a particular nomenclature has been used for the names of the species. The data provider is requested to make this information available, if possible.
For column BBCH 60 it is unclear what it describes. The data provider is requested to make this information available.
For column BBCH 65 it is unclear what it describes. The data provider is requested to make this information available.
For column BBCH 69 it is unclear what it describes. The data provider is requested to make this information available.
For column Sampling it is unclear what it describes. The data provider is requested to make this information available.
For column value it is unclear, what the reported variable actually is and in which unit it is provided.

Field Data Protocol 2 UK

Table 26. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	BGDWP194.FLDDT472.0
Name	Field Data Protocol 2 UK
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP194.FLDDT472.0
Table Type	File
Licence	CC BY-NC-ND 4.0
Description	Field Data Protocol 2 United Kingdom

Field Data Protocol 2 United Kingdom

Metadata

n/a

Table 27. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Column Description	Datatype	Descriptor	Unit
Replica	Not specified by the data provider. Presumably the designation of the replicate of a sample plot.	Integer number	Integer [0.0.NTGER313]	n/a
Individual	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	n/a
Latitude	Not specified by the data provider. Presumably the latitude of the geographical position in WGS 84 format of the location in which the observation was recorded.	Decimal number	dwc:decimalLatitude [0.0.LTTDE333]	°
Longitude	Not specified by the data provider. Presumably the longitude of the geographical position in WGS 84 format of the location in which the observation was recorded.	Decimal number	dwc:decimalLongitude [0.0.LNGTD332]	°
Elevation	Not specified by the data provider. Presumably height above mean sea level of the location in which the observation was recorded.	Decimal number	pms:heightAboveMeanSeaLevel [0.0.HGHTB393]	m
Species	Not specified by the data provider. Presumably the species to which the recorded observation refers to.	String	dwc:scientificName [0.0.SCNTF503]	n/a
BBCH 60	Not specified by the data provider.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
BBCH 65	Not specified by the data provider.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
BBCH 69	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Week	Not specified by the data provider. Presumably the calendar week of the year in which the observation was recorded.	Integer number	iso-8601:calendarWeekOfYear [0.0.CLNDR514]	n/a
Sampling	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	n/a
datatype	Data type of the value given in column value {decimal, text}.	String	Text [0.0.TEXTA315]	n/a
variable	variable reported in column value.	String	Text [0.0.TEXTA315]	n/a
value	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 28. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Replica	1 - 1	3.0	1	2	3	4	5	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.1% )
Individual	1 - 1	3.0	1	1	5	5	5	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )
Latitude	8 - 9	52.9268272	52.821186	52.916243	52.929316	52.936127	52.95454	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	135 ( 3.6% )
Longitude	8 - 10	-1.14393586	-1.257952	-1.1725205	-1.156867	-1.1382142	-1.0231103	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	135 ( 3.6% )
Elevation	2 - 3	34.0	19	27	28	36	109	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	28 ( 0.7% )
Species	7 - 26	n/a	Cirsium	n/a	n/a	n/a	Hyancinthoid…	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	34 ( 0.9% )
BBCH 60	0 - 10	2,021.0	2021-01-03	2,021	2,021	2,021	2021-12-04	3,740	330 ( 8.8% )	0 ( 0.0% )	0 ( 0.0% )	17 ( 0.5% )
BBCH 65	0 - 10	2,021.0	2021-02-08	2,021	2,021	2,021	2021-12-04	3,740	88 ( 2.4% )	0 ( 0.0% )	0 ( 0.0% )	16 ( 0.4% )
BBCH 69	10 - 10	n/a	2021-05-24	n/a	n/a	n/a	2021-07-19	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 0.5% )
Week	1 - 2	11.0	1	6	11	16	21	3,740	170 ( 4.5% )	0 ( 0.0% )	0 ( 0.0% )	22 ( 0.6% )
Sampling	1 - 2	19.5	-2	10	20	30	40	3,740	170 ( 4.5% )	170 ( 4.5% )	0 ( 0.0% )	22 ( 0.6% )
datatype	4 - 7	n/a	text	n/a	n/a	n/a	decimal	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )
variable	5 - 10	n/a	Notes	n/a	n/a	n/a	2021-03-15	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	22 ( 0.6% )
value	0 - 64	n/a		n/a	n/a	n/a	Experienced…	3,740	115 ( 3.1% )	2,308 ( 61.7% )	0 ( 0.0% )	23 ( 0.6% )

Quality measures

Table 29. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Replica	100.00%	0.13%	1	1
Individual	100.00%	0.05%	5	1
Latitude	100.00%	3.61%	52.933303	52.913079
Longitude	100.00%	3.61%	-1.1504465	-1.180257
Elevation	100.00%	0.75%	28	43
Species	100.00%	0.91%	Acer sp.	Acer sp.
BBCH 60	91.18%	0.45%	2021-07-06	2021-06-09
BBCH 65	97.65%	0.43%	2021-07-19	2021-03-15
BBCH 69	100.00%	0.48%	2021-02-08	0000-00-00
Week	95.45%	0.59%	1	1
Sampling	95.45%	0.59%	-2	-2
datatype	100.00%	0.05%	decimal	text
variable	100.00%	0.59%	2021-02-15	2021-02-15
value	96.93%	0.61%	0	Farmers field

Changes made to preparatory file

Column Notes and Comments was renamed to Notes in order to standardise the name of the columns in files containing the same information.
Column Replicates was renamed to Replica in order to standardise the name of the columns in files containing the same information.
Column Individuals was renamed to Individual in order to standardise the name of the columns in files containing the same information.
A colmun datatype was intriduced in which the data type of column value is defined.

Changes made to data

Missing values marked with {NA} (16 occurrences) were replaced by {NULL}.
All remaining missing values in column Notes (113 occurrences) in all columns were replaced by {NULL}.
Dates containing {/201} (330 occurrences) were replcaed by {/2021}, given that this was the most plausible number.

Unresolved issues

For column Replica it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide a more precise information.
For column Individual it is unclear what it describes. The data provider is requested to make this information available.
For column Latitude it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide this information.
For column Longitude it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide this information.
For column Elevation it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide this information.
For column Species it is unclear, if a particular nomenclature has been used for the names of the species. The data provider is requested to make this information available, if possible.
For column BBCH 60 it is unclear what it describes. The data provider is requested to make this information available.
For column BBCH 65 it is unclear what it describes. The data provider is requested to make this information available.
For column BBCH 69 it is unclear what it describes. The data provider is requested to make this information available.
For column Sampling it is unclear what it describes. The data provider is requested to make this information available.
For column value it is unclear, what the reported variable actually is and in which unit it is provided.

Field Data Protocol 3-1 BE

Table 30. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	BGDWP194.FLDDT473.0
Name	Field Data Protocol 3-1 BE
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP194.FLDDT473.0
Table Type	File
Licence	CC BY-NC-ND 4.0
Description	Field Data Protocol 3 - Part 1 Belgium

Field Data Protocol 3 - Part 1 Belgium

Metadata

n/a

Table 31. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Column Description	Datatype	Descriptor	Unit
Landscape window	Not specified by the provider of table Field Data Protocol 3-1 PT.	String	Text [0.0.TEXTA315]	n/a
Polygon ID	Not specified by the provider of table Field Data Protocol 3-1 PT.	String	Text [0.0.TEXTA315]	n/a
Polygon Type	Not specified by the data provider. Presumable the vegetation type of the assessed plot.	String	Text [0.0.TEXTA315]	n/a
Polygon Type_1	Not specified by the provider of table Field Data Protocol 3-1 PT.	String	Text [0.0.TEXTA315]	n/a
Sampling Polygon ID	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Sampling point ID	Not specified by the data provider. Presumably the identifier of the location in which the sample was taken.	String	Text [0.0.TEXTA315]	n/a
Sampling point LAT	Not specified by the data provider. Presumably the latitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.	Decimal number	dwc:decimalLatitude [0.0.LTTDE333]	°
Sampling point LONG	Not specified by the data provider. Presumably the longitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.	Decimal number	dwc:decimalLongitude [0.0.LNGTD332]	°
Elevation (m)	Not specified by the data provider. Presumably the height above see level of the location in which the sample was taken.	Decimal number	pms:heightAboveMeanSeaLevel [0.0.HGHTB393]	m
Survey (7)	Not specified by the provider of table Field Data Protocol 3-1 UK.	Integer number	Integer [0.0.NTGER313]	n/a
Month (March - September)	Not specified by the provider of table Field Data Protocol 3-1 UK. Presumably the Month in which the sample was taken.	String	Text [0.0.TEXTA315]	n/a
Date	Not specified by the data provider. Presumably the date at which the sample was taken.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
Common name	Common name of the plant species which was sampled.	String	Text [0.0.TEXTA315]	n/a
Species	Scientific name of the plant species, which was sampled.	String	dwc:scientificName [0.0.SCNTF503]	n/a
Plant habit (Layer)	Not specified by the data provider. Presumably the habotat type at the location in which the sample was taken.	String	Text [0.0.TEXTA315]	n/a
Quadrat_PC	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Plant cover (%)	Not specified by the data provider. Presumably the percentage of ground surface that is covered by the plant species in column Species.	Integer number	Integer [0.0.NTGER313]	%
Flowering Plant cover (%)	Not specified by the provider of table Field Data Protocol 3-1 PT.	Integer number	Integer [0.0.NTGER313]	%
Quadrat_FA	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
No Flowers	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	n/a
Area (m2)	Not specified by the data provider.	Decimal number	DecimalNumber [0.0.DCMLN314]	m2
Notes	Unstructured notes reported by the data provider.	String	Text [0.0.TEXTA315]	n/a
flm2	Not specified by the provider of table Field Data Protocol 3-1 PT.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 32. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Landscape window	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Polygon ID	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Polygon Type	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Polygon Type_1	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Sampling Polygon ID	6 - 21	n/a	park 1	n/a	n/a	n/a	riparian veg…	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 1.9% )
Sampling point ID	8 - 23	n/a	park 1.1	n/a	n/a	n/a	riparian veg…	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	54 ( 5.6% )
Sampling point LAT	9 - 11	51.074036900	51.060805	51.06902533	51.07313868	51.07837482	51.08588371	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 1.9% )
Sampling point LONG	10 - 11	3.5805061000	3.541485383	3.57032134	3.57533183	3.59533403	3.607661948	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 1.9% )
Elevation (m)	2 - 2	10.0	10	10	10	10	10	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Survey (7)	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Month (March - September)	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Date	10 - 10	2,020.0	2020-03-30	2,020	2,020	2,020	2020-12-08	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.7% )
Common name	4 - 20	n/a	peer	n/a	n/a	n/a	gewone salom…	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	58 ( 6.0% )
Species	10 - 36	n/a	Salix alba	n/a	n/a	n/a	Erodium cicu…	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	58 ( 6.0% )
Plant habit (Layer)	4 - 6	n/a	herb	n/a	n/a	n/a	schrub	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.3% )
Quadrat_PC	3 - 5	n/a	5x5	n/a	n/a	n/a	10x10	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.3% )
Plant cover (%)	1 - 3	42.3	0	10	37.5	75	100	960	0 ( 0.0% )	81 ( 8.4% )	0 ( 0.0% )	21 ( 2.2% )
Flowering Plant cover (%)	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Quadrat_FA	0 - 5	n/a		n/a	n/a	n/a	10x10	960	861 ( 89.7% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 1.3% )
No Flowers	3 - 6	180.18	1.0	5	15	42	5,000.0	960	861 ( 89.7% )	0 ( 0.0% )	0 ( 0.0% )	46 ( 4.8% )
Area (m2)	3 - 5	4.98	1.0	1	1	1	100.0	960	861 ( 89.7% )	0 ( 0.0% )	0 ( 0.0% )	11 ( 1.1% )
Notes	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
flm2	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Quality measures

Table 33. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Landscape window	0.00%	0.10%	null	null
Polygon ID	0.00%	0.10%	null	null
Polygon Type	0.00%	0.10%	null	null
Polygon Type_1	0.00%	0.10%	null	null
Sampling Polygon ID	100.00%	1.88%	broadleaved forest 3	cultural grassland 3
Sampling point ID	100.00%	5.63%	park 1.3	cultural grassland 2.3
Sampling point LAT	100.00%	1.88%	51.060805	51.07843875
Sampling point LONG	100.00%	1.88%	3.57128787	3.596388063
Elevation (m)	100.00%	0.10%	10	10
Survey (7)	0.00%	0.10%	null	null
Month (March - September)	0.00%	0.10%	null	null
Date	100.00%	0.73%	2020-04-29	2020-03-30
Common name	100.00%	6.04%	grote brandnetel	vogelmuur
Species	100.00%	6.04%	Urtica dioica	Stellaria media
Plant habit (Layer)	100.00%	0.31%	herb	schrub
Quadrat_PC	100.00%	0.31%	1x1	5x5
Plant cover (%)	100.00%	2.19%	100	8
Flowering Plant cover (%)	0.00%	0.10%	null	null
Quadrat_FA	10.31%	1.25%	null	1x1.5
No Flowers	10.31%	4.79%	null	600.0
Area (m2)	10.31%	1.15%	null	1.5
Notes	0.00%	0.10%	null	null
flm2	0.00%	0.10%	null	null

Changes made to preparatory file

Columns Landscape window, Polygon ID, Polygon Type, Polygon Type1, Survey (7), Month (March - September), Flowering Plant cover (%), Notes, and flm2 were added in order to create the same data structure for all tables containing the same information.
Column Dutch species name was renamed to Common name in order to standardise the header names of all tables containing the same information.

Changes made to data

Missing values (2583 occurrences) were replaced by {NULL}.

Unresolved issues

For column Sampling Polygon ID it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide a more precise information.
For column Sampling Point ID it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Sampling point LAT it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Sampling point LONG it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Elevation (m) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Date it is may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Species it is unclear, if a particular nomenclature has been used for the names of the species. The data provider is requested to make this information available, if possible.
For column Plant habit (Layer) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information, in particular a reference to the nomenclature that has been used.
For column Quadrat_PC it is unclear what it describes. The data provider is requested to make this information available.
For column Plant cover (%) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information..
For column Quadrat_FA it is unclear what it describes. The data provider is requested to make this information available.
For column No Flowers it is unclear what it describes. The data provider is requested to make this information available.
For column Area (m2) it is unclear what it describes. The data provider is requested to make this information available.

Field Data Protocol 3-1 PT

Table 34. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	BGDWP194.FLDDT474.0
Name	Field Data Protocol 3-1 PT
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP194.FLDDT474.0
Table Type	File
Licence	CC BY-NC-ND 4.0
Description	Field Data Protocol 3 - Part 1 Portugal

Field Data Protocol 3 - Part 1 Portugal

Metadata

n/a

Table 35. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Column Description	Datatype	Descriptor	Unit
Landscape window	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Polygon ID	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Polygon Type	Not specified by the data provider. Presumable the vegetation type of the assessed plot.	String	Text [0.0.TEXTA315]	n/a
Polygon Type_1	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Sampling Polygon ID	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Sampling point ID	Not specified by the data provider. Presumably the identifier of the location in which the sample was taken.	String	Text [0.0.TEXTA315]	n/a
Sampling point LAT	Not specified by the data provider. Presumably the latitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.	Decimal number	dwc:decimalLatitude [0.0.LTTDE333]	°
Sampling point LONG	Not specified by the data provider. Presumably the longitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.	Decimal number	dwc:decimalLongitude [0.0.LNGTD332]	°
Elevation (m)	Not specified by the data provider. Presumably the height above see level of the location in which the sample was taken.	Decimal number	pms:heightAboveMeanSeaLevel [0.0.HGHTB393]	m
Survey (7)	Not specified by the provider of table Field Data Protocol 3-1 UK.	Integer number	Integer [0.0.NTGER313]	n/a
Month (March - September)	Not specified by the provider of table Field Data Protocol 3-1 UK. Presumably the Month in which the sample was taken.	String	Text [0.0.TEXTA315]	n/a
Date	Not specified by the data provider. Presumably the date at which the sample was taken.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
Common name	Common name of the plant species which was sampled.	String	Text [0.0.TEXTA315]	n/a
Species	Scientific name of the plant species, which was sampled.	String	dwc:scientificName [0.0.SCNTF503]	n/a
Plant habit (Layer)	Not specified by the data provider. Presumably the habotat type at the location in which the sample was taken.	String	Text [0.0.TEXTA315]	n/a
Quadrat_PC	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Plant cover (%)	Not specified by the data provider. Presumably the percentage of ground surface that is covered by the plant species in column Species.	Integer number	Integer [0.0.NTGER313]	%
Flowering Plant cover (%)	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	%
Quadrat_FA	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
No Flowers	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Area (m2)	Not specified by the data provider.	String	Text [0.0.TEXTA315]	m2
Notes	Unstructured notes reported by the data provider.	String	Text [0.0.TEXTA315]	n/a
flm2	Not specified by the data provider.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 36. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Landscape window	5 - 13	n/a	Lousã	n/a	n/a	n/a	Idanha-a-Nov…	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.1% )
Polygon ID	0 - 15	n/a		n/a	n/a	n/a	PTidan279886…	3,434	54 ( 1.6% )	0 ( 0.0% )	0 ( 0.0% )	57 ( 1.7% )
Polygon Type	0 - 23	n/a		n/a	n/a	n/a	tole_Maritim…	3,434	54 ( 1.6% )	0 ( 0.0% )	0 ( 0.0% )	16 ( 0.5% )
Polygon Type_1	10 - 23	n/a	tole_Scrub	n/a	n/a	n/a	tole_Maritim…	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	15 ( 0.4% )
Sampling Polygon ID	3 - 13	n/a	S.1	n/a	n/a	n/a	Fl.A.F.+R.1.…	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	56 ( 1.6% )
Sampling point ID	5 - 13	n/a	S.1.1	n/a	n/a	n/a	N.Pl.Fl.A.1.…	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	155 ( 4.5% )
Sampling point LAT	6 - 10	40.18793705	39.84616	39.860447	40.04721	40.06069	41.16643	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	153 ( 4.5% )
Sampling point LONG	6 - 10	-7.68714980	-8.25608	-8.23985	-7.69341	-7.164823	-7.14442	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	156 ( 4.5% )
Elevation (m)	2 - 3	470.6	77	231	278	815	975	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	116 ( 3.4% )
Survey (7)	0 - 0	n/a		n/a	n/a	n/a		3,434	3,434 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
Month (March - September)	0 - 0	n/a		n/a	n/a	n/a		3,434	3,434 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
Date	10 - 10	2,020.0	2020-03-14	2,020	2,020	2,020	2021-05-23	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	20 ( 0.6% )
Common name	0 - 0	n/a		n/a	n/a	n/a		3,434	3,434 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
Species	0 - 49	n/a		n/a	n/a	n/a	Ranunculus o…	3,434	15 ( 0.4% )	232 ( 6.8% )	0 ( 0.0% )	330 ( 9.6% )
Plant habit (Layer)	0 - 9	n/a		n/a	n/a	n/a	Sub-Shrub	3,434	247 ( 7.2% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.2% )
Quadrat_PC	0 - 5	n/a		n/a	n/a	n/a	10X10	3,434	246 ( 7.2% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.2% )
Plant cover (%)	3 - 4	8.27	0.0	1	5	10	95.0	3,434	54 ( 1.6% )	193 ( 5.6% )	0 ( 0.0% )	20 ( 0.6% )
Flowering Plant cover (%)	3 - 4	4.82	0.0	1	1	5	75.0	3,434	18 ( 0.5% )	320 ( 9.3% )	0 ( 0.0% )	16 ( 0.5% )
Quadrat_FA	0 - 3	n/a		n/a	n/a	n/a	1X1	3,434	456 ( 13.3% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.1% )
No Flowers	0 - 5	n/a		n/a	n/a	n/a	11520	3,434	192 ( 5.6% )	292 ( 8.5% )	0 ( 0.0% )	315 ( 9.2% )
Area (m2)	0 - 10	n/a		n/a	n/a	n/a	2.5mx1.80m	3,434	365 ( 10.6% )	0 ( 0.0% )	0 ( 0.0% )	56 ( 1.6% )
Notes	0 - 68	n/a		n/a	n/a	n/a	No quaddrado…	3,434	3,322 ( 96.7% )	0 ( 0.0% )	0 ( 0.0% )	58 ( 1.7% )
flm2	3 - 8	849.87723	0.114	13	100	500	9,523.81	3,434	3,367 ( 98.0% )	0 ( 0.0% )	0 ( 0.0% )	60 ( 1.7% )

Quality measures

Table 37. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Landscape window	100.00%	0.09%	Idanha-a-Nova	Douro
Polygon ID	98.43%	1.66%	PTserr947813812	O.2
Polygon Type	98.43%	0.47%	tole_Scrub	tole_InvasiveForest
Polygon Type_1	100.00%	0.44%	tole_Scrub	tole_InvasiveForest
Sampling Polygon ID	100.00%	1.63%	V.1	Fl.E.+F,1
Sampling point ID	100.00%	4.51%	V.E.P.D.2.3	V.1.6
Sampling point LAT	100.00%	4.46%	39.865418	39.857
Sampling point LONG	100.00%	4.54%	-7.15105	-7.70081
Elevation (m)	100.00%	3.38%	219	405
Survey (7)	0.00%	0.03%	null	null
Month (March - September)	0.00%	0.03%	null	null
Date	100.00%	0.58%	2020-04-18	2020-10-16
Common name	0.00%	0.03%	null	null
Species	99.56%	9.61%	0	Camellia japonica
Plant habit (Layer)	92.81%	0.17%	Herb	Sub-Shrub
Quadrat_PC	92.84%	0.17%	1x1	10X10
Plant cover (%)	98.43%	0.58%	5.0	95.0
Flowering Plant cover (%)	99.48%	0.47%	1.0	45.0
Quadrat_FA	86.72%	0.09%	1x1	1X1
No Flowers	94.41%	9.17%	0	1440
Area (m2)	89.37%	1.63%	1	1.5x1.5
Notes	3.26%	1.69%	null	10x10 : 2.5% e 2.5% // Observado à distância
flm2	1.95%	1.75%	null	640.0

Changes made to preparatory file

Columns Survey (7), Month (March - September), and Comon Name were added in order to create the same data structure for all tables containing the same information.
Column Tole was renamed to Polygon Type in order to standardise the header names of all tables containing the same information.
Column Tole_1 was renamed to Polygon Type_1 in order to standardise the header names of all tables containing the same information.

Changes made to data

Missing values marked with {NA} (1670 occurrences) were replaced by {NULL}.
Missing values (6720 occurrences) were replaced by {NULL}.

Unresolved issues

For column Landscape window it is unclear what it contains. The data provider is requested to provide this information.
For column Polygon ID it is unclear what it contains. The data provider is requested to provide this information.
For column Polygon Type it is unclear what it contains. The data provider is requested to provide this information, in particular the nomenclature that has been used.
For column Polygon Type_1 it is unclear what it contains. The data provider is requested to provide this information.
For column Sampling Polygon ID it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide a more precise information.
For column Sampling Point ID it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Sampling point LAT it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Sampling point LONG it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Elevation (m) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Date it is may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Species it is unclear, if a particular nomenclature has been used for the names of the species. The data provider is requested to make this information available, if possible.
For column Plant habit (Layer) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information, in particular a reference to the nomenclature that has been used.
For column Quadrat_PC it is unclear what it describes. The data provider is requested to make this information available.
For column Plant cover (%) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Flowering Plant cover (%) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Quadrat_FA it is unclear what it describes. The data provider is requested to make this information available.
For column No Flowers it is unclear what it describes. The data provider is requested to make this information available.
For column Area (m2) it is unclear what it describes. The data provider is requested to make this information available.

Field Data Protocol 3-1 UK

Table 38. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	BGDWP194.FLDDT475.0
Name	Field Data Protocol 3-1 UK
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP194.FLDDT475.0
Table Type	File
Licence	CC BY-NC-ND 4.0
Description	Field Data Protocol 3 - Part 1 United Kingdom

Field Data Protocol 3 - Part 1 United Kingdom

Metadata

n/a

Table 39. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Column Description	Datatype	Descriptor	Unit
Landscape window	Not specified by the provider of table Field Data Protocol 3-1 PT.	String	Text [0.0.TEXTA315]	n/a
Polygon ID	Not specified by the provider of table Field Data Protocol 3-1 PT.	String	Text [0.0.TEXTA315]	n/a
Polygon Type	Not specified by the data provider. Presumable the vegetation type of the assessed plot.	String	Text [0.0.TEXTA315]	n/a
Polygon Type_1	Not specified by the provider of table Field Data Protocol 3-1 PT.	String	Text [0.0.TEXTA315]	n/a
Sampling Polygon ID	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
Sampling Point ID	Not specified by the data provider. Presumably the identifier of the location in which the sample was taken.	Boolean	Boolean [0.0.BLEAN316]	n/a
Sampling point LAT	Not specified by the data provider. Presumably the latitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.	Decimal number	dwc:decimalLatitude [0.0.LTTDE333]	°
Sampling point LONG	Not specified by the data provider. Presumably the longitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.	Decimal number	dwc:decimalLongitude [0.0.LNGTD332]	°
Elevation (m)	Not specified by the data provider. Presumably the height above see level of the location in which the sample was taken.	Decimal number	pms:heightAboveMeanSeaLevel [0.0.HGHTB393]	m
Survey (7)	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	n/a
Month (March - September)	Not specified by the data provider. Presumably the Month in which the sample was taken.	String	Text [0.0.TEXTA315]	n/a
Date	Not specified by the data provider. Presumably the date at which the sample was taken.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
Common name	Common name of the plant species which was sampled.	String	Text [0.0.TEXTA315]	n/a
Species	Scientific name of the plant species, which was sampled.	String	dwc:scientificName [0.0.SCNTF503]	n/a
Plant habit (Layer)	Not specified by the data provider. Presumably the habotat type at the location in which the sample was taken.	String	Text [0.0.TEXTA315]	n/a
Quadrat_PC	Not specified by the data provider. Presumably the length x width of the plot in which the sample was taken.	String	Text [0.0.TEXTA315]	n/a
Plant cover (%)	Not specified by the data provider. Presumably the percentage of ground surface that is covered by the plant species in column Species.	Integer number	Integer [0.0.NTGER313]	%
Flowering Plant cover (%)	Not specified by the provider of table Field Data Protocol 3-1 PT.	Integer number	Integer [0.0.NTGER313]	%
Quadrat_FA	Not specified by the data provider.	String	Text [0.0.TEXTA315]	n/a
No Flowers	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	n/a
Area (m2)	Not specified by the data provider.	Integer number	Integer [0.0.NTGER313]	m2
Notes	Unstructured notes reported by the data provider.	String	Text [0.0.TEXTA315]	n/a
flm2	Not specified by the provider of table Field Data Protocol 3-1 PT.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 40. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Landscape window	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Polygon ID	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Polygon Type	6 - 17	n/a	Hedges	n/a	n/a	n/a	Natural Wet…	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.4% )
Polygon Type_1	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Sampling Polygon ID	4 - 6	n/a	H2.1	n/a	n/a	n/a	NWG2.2	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	45 ( 3.8% )
Sampling Point ID	1 - 1	n/a	1	n/a	n/a	n/a	1	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Sampling point LAT	7 - 9	52.9471131	52.941478	52.944667	52.946387	52.948426	52.954819	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	45 ( 3.8% )
Sampling point LONG	8 - 9	-1.0723931	-1.084631	-1.075121	-1.071021	-1.068911	-1.060127	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	45 ( 3.8% )
Elevation (m)	2 - 2	24.0	19	23	24	26	28	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	9 ( 0.8% )
Survey (7)	1 - 1	4.0	1	2	4	6	7	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.6% )
Month (March - September)	3 - 9	n/a	May	n/a	n/a	n/a	September	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.6% )
Date	10 - 10	2,021.0	2021-03-24	2,021	2,021	2,021	2021-12-08	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.6% )
Common name	3 - 16	n/a	Ash	n/a	n/a	n/a	Common Dande…	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	39 ( 3.3% )
Species	8 - 25	n/a	Acer sp.	n/a	n/a	n/a	Pentaglottis…	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	38 ( 3.2% )
Plant habit (Layer)	4 - 5	n/a	Tree	n/a	n/a	n/a	Shrub	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.3% )
Quadrat_PC	3 - 5	n/a	1x1	n/a	n/a	n/a	10x10	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.3% )
Plant cover (%)	1 - 3	44.7	0	10	30	90	100	1,174	0 ( 0.0% )	4 ( 0.3% )	0 ( 0.0% )	22 ( 1.9% )
Flowering Plant cover (%)	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
Quadrat_FA	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
No Flowers	1 - 3	6.4	0	0	0	0	500	1,174	0 ( 0.0% )	944 ( 80.4% )	0 ( 0.0% )	40 ( 3.4% )
Area (m2)	1 - 2	0.9	0	0	0	0	10	1,174	0 ( 0.0% )	948 ( 80.7% )	0 ( 0.0% )	9 ( 0.8% )
Notes	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
flm2	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Quality measures

Table 41. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Landscape window	0.00%	0.09%	null	null
Polygon ID	0.00%	0.09%	null	null
Polygon Type	100.00%	0.43%	Deciduous Forest	Natural Grass
Polygon Type_1	0.00%	0.09%	null	null
Sampling Polygon ID	100.00%	3.83%	DF3.3	NG3.2
Sampling Point ID	100.00%	0.09%	1	1
Sampling point LAT	100.00%	3.83%	52.944529	52.948426
Sampling point LONG	100.00%	3.83%	-1.072439	-1.067301
Elevation (m)	100.00%	0.77%	23	20
Survey (7)	100.00%	0.60%	4	1
Month (March - September)	100.00%	0.60%	June	March
Date	100.00%	0.60%	2021-09-06	2021-03-24
Common name	100.00%	3.32%	Yorkshire fog	Cinquefoil
Species	100.00%	3.24%	Holcus lanatus	Potentilla reptans
Plant habit (Layer)	100.00%	0.26%	Herb	Shrub
Quadrat_PC	100.00%	0.26%	1x1	5x5
Plant cover (%)	100.00%	1.87%	100	1
Flowering Plant cover (%)	0.00%	0.09%	null	null
Quadrat_FA	0.00%	0.09%	null	null
No Flowers	100.00%	3.41%	0	23
Area (m2)	100.00%	0.77%	0	8
Notes	0.00%	0.09%	null	null
flm2	0.00%	0.09%	null	null

Changes made to preparatory file

Columns Landscape Window, Polygon ID, Polygon Type1, Flowering Plant cover (%), Notes, and flm2 were added in order to create the same data structure for all tables containing the same information.
Column Sampling Point ID was renamed to Sampling point ID in order to standardise the header names of all tables containing the same information.

Changes made to data

Missing values marked with {NA} (1174 occurrences) were replaced by {NULL}.

Unresolved issues

For column Polygon Type it is unclear what it contains. The data provider is requested to provide this information, in particular the nomenclature that has been used.
For column Sampling Polygon ID it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide a more precise information.
For column Sampling Point ID it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Sampling point LAT it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Sampling point LONG it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Elevation (m) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Survey (7) it is unclear what it describes. The data provider is requested to make this information available.
For column Month (March - September) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Date it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Species it is unclear, if a particular nomenclature has been used for the names of the species. The data provider is requested to make this information available, if possible.
For column Plant habit (Layer) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information, in particulare a reference to the nomenclature that has been used.
For column Quadrat_PC it is unclear what it describes. The data provider is requested to make this information available.
For column Plant cover (%) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Quadrat_FA it is unclear what it describes. The data provider is requested to make this information available.
For column No Flowers it is unclear what it describes. The data provider is requested to make this information available.
For column Area (m2) it is unclear what it describes. The data provider is requested to make this information available.

Field Data Protocol 3-2 All

Table 42. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	BGDWP194.FLDDT476.0
Name	Field Data Protocol 3-2 All
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP194.FLDDT476.0
Table Type	File
Licence	CC BY-NC-ND 4.0
Description	Field Data Protocol 3 - Part 2 Belgium, Portugal, United Kingdom

Field Data Protocol 3 - Part 2 Belgium, Portugal, United Kingdom

Metadata

n/a

Table 43. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Column Description	Datatype	Descriptor	Unit
Country	ISO 3166-1 alpha 2 country code of the country in which the samples were taken.	String	iso-3166:alpha-2CountryCode [0.0.LPHCN4]	n/a
Species	Name of the species from which the sample was taken.	String	dwc:scientificName [0.0.SCNTF503]	n/a
No. Plants sampled	Not specified by the data provider. Presumably the number of plants that were sampled imn plants from the species specified in column Species.	Integer number	Integer [0.0.NTGER313]	no.
No. of Anthers/flower	Not specified by the data provider. Presumably the average number of anthers per flower in the plants that were sampled from the species specified in column Species.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
No. Of pollen grains/anther	Not specified by the data provider. Presumably the average number of pollen grains per anther in the plants that were sampled from the species specified in column Species.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
No. Of pollen/flower	Not specified by the data provider. Presumably the average number of pollen per flower in the plants that were sampled from the species specified in column Species.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
No. Of pollen/inflorescence	Not specified by the data provider. Presumably the average number of pollen per infloresecence in the plants that were sampled from the species specified in column Species.	Integer number	Integer [0.0.NTGER313]	n/a
No. of flowers per flower cluster/catkin	Not specified by the data provider. Presumably the average number of flowers per flower cluster in the plants that were sampled from the species specified in column Species.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
Number of samples	Not specified by the data provider. Presumably the number of samples that were taken from the species specified in column Species.	Integer number	Integer [0.0.NTGER313]	no.
Nectar volume/flower (µl)	Not specified by the data provider. Presumably the average volume of nectar per plant of samples that were taken from the species specified in column Species.	Decimal number	DecimalNumber [0.0.DCMLN314]	mm3
Sugar concentration/flower (% Brix)	Not specified by the data provider. Presumably the average sugar concentration per flower of samples that were taken from the species specified in column Species.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
Sugar concentration/flower (µg)		Integer number	Integer [0.0.NTGER313]	n/a
Notes		String	Text [0.0.TEXTA315]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 44. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Country	2 - 2	n/a	BE	n/a	n/a	n/a	UK	82	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 3.7% )
Species	10 - 23	n/a	Salix alba	n/a	n/a	n/a	Centranthus…	82	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	78 ( 95.1% )
No. Plants sampled	1 - 2	8.8	5	8.5	10	10	10	82	5 ( 6.1% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 4.9% )
No. of Anthers/flower	1 - 5	13.983	1	5	8	10	120.9	82	15 ( 18.3% )	0 ( 0.0% )	0 ( 0.0% )	28 ( 34.1% )
No. Of pollen grains/anther	1 - 7	2,783.467	4	96	492.4	3,630	32,600	82	15 ( 18.3% )	0 ( 0.0% )	0 ( 0.0% )	67 ( 81.7% )
No. Of pollen/flower	2 - 7	300,223.588	30	638	3,025	25,187.5	5,582,400	82	5 ( 6.1% )	0 ( 0.0% )	0 ( 0.0% )	76 ( 92.7% )
No. Of pollen/inflorescence	5 - 6	136,959.0	10,155	47,292.5	116,237.5	180,537.5	456,010	82	72 ( 87.8% )	0 ( 0.0% )	0 ( 0.0% )	11 ( 13.4% )
No. of flowers per flower cluster/catkin	2 - 5	145.99	13.3	34	93.4	224	844	82	63 ( 76.8% )	0 ( 0.0% )	0 ( 0.0% )	20 ( 24.4% )
Number of samples	1 - 2	20.0	0	8.25	30	30	30	82	52 ( 63.4% )	1 ( 1.2% )	0 ( 0.0% )	8 ( 9.8% )
Nectar volume/flower (µl)	1 - 6	6.768	0	0.48	0.77	1.5	172.03	82	35 ( 42.7% )	2 ( 2.4% )	0 ( 0.0% )	36 ( 43.9% )
Sugar concentration/flower (% Brix)	1 - 5	23.708	0	4.525	17.735	31.5025	216.2	82	38 ( 46.3% )	2 ( 2.4% )	0 ( 0.0% )	44 ( 53.7% )
Sugar concentration/flower (µg)	1 - 4	280.4	0	11	62	175	3,305	82	63 ( 76.8% )	1 ( 1.2% )	0 ( 0.0% )	20 ( 24.4% )
Notes	0 - 213	n/a		n/a	n/a	n/a	from each fl…	82	60 ( 73.2% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 14.6% )

Quality measures

Table 45. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Country	100.00%	3.66%	PT	UK
Species	100.00%	95.12%	Trifolium pratense	Anthriscus sylvestris
No. Plants sampled	93.90%	4.88%	10	7
No. of Anthers/flower	81.71%	34.15%	null	50
No. Of pollen grains/anther	81.71%	81.71%	null	37
No. Of pollen/flower	93.90%	92.68%	null	185
No. Of pollen/inflorescence	12.20%	13.41%	null	120125
No. of flowers per flower cluster/catkin	23.17%	24.39%	null	13.3
Number of samples	36.59%	9.76%	null	0
Nectar volume/flower (µl)	57.32%	43.90%	null	2
Sugar concentration/flower (% Brix)	53.66%	53.66%	null	1
Sugar concentration/flower (µg)	23.17%	24.39%	null	9
Notes	26.83%	14.63%	null	Ask Adam: same number of samples for pollen and nectar quantifications?

Changes made to preparatory file

n/a

Changes made to data

Missing values marked with {NA} (363 occurrences) were replaced by {NULL}.
Missing values (60 occurrences) were replaced by {NULL}.

Unresolved issues

For column No. Plants sampled it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column No. of Anthers/flower it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column No. Of pollen grains/anther it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column No. Of pollen/flower it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column No. Of pollen/inflorescence it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column No. of flowers per flower cluster/catkin it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Number of samples it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Nectar volume/flowers (uL) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.
For column Sugar concentration/flower (% Brix) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information. The data provider is also requested, which unit has been used (°Bx or %).
For column Sugar concentration/flower (ug) it may be guessed, but it is not explicitly stated what it describes. The data provider is requested to provide more information.

References

Alves da Silva A., Lopes S., Parreira T., Castro S., Bouuaert D., McVeigh A. et al. 2022 Field data obtained from the implementation of the Field Protocols 1, 2, and 3 from WP3. B-GOOD Bee Health Data Portal. [2024-10-30] beehealthdata.org

Annex 1: Table column reports

Table: Field Data Protocol 1 BE

Column: Sampling

Table 46. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling
Description	Not specified by the provider of Field Data Protocol 1 PT.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 47. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling	0 - 0	n/a		n/a	n/a	n/a		30,258	30,258 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 48. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling	0.00%	0.00%	null	null

Data Distribution Top 20

Figure 1. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 2. Visualization of completeness of the data in the column.

Uniqueness

Figure 3. Visualization of uniqueness of the data in the column.

Column: Plant community

Table 49. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Plant community
Description	Not specified by the data provider. Obviously the name of a plant community, but no reference for the taxonomy (data standard) applied has been given.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 50. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Plant community	8 - 35	n/a	Hayfield	n/a	n/a	n/a	Tall herbs w…	30,258	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	10 ( 0.0% )

Table 51. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Plant community	100.00%	0.03%	Wet haylands with Caltha palustris	Broadleaved forest

Data Distribution Top 20

Figure 4. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 5. Visualization of completeness of the data in the column.

Uniqueness

Figure 6. Visualization of uniqueness of the data in the column.

Column: ID

Table 52. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	ID
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 53. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
ID	15 - 72	n/a	hayfield 1 n…	n/a	n/a	n/a	wet haylands…	30,258	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	246 ( 0.8% )

Table 54. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
ID	100.00%	0.81%	broadleaved forest 1 nr 1	broadleaved forest 1 nr 1

Completeness

Figure 7. Visualization of completeness of the data in the column.

Uniqueness

Figure 8. Visualization of uniqueness of the data in the column.

Column: Species

Table 55. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Species
Description	Name of the plant species.
Data type	String
Descriptor	dwc:scientificName [UID:0.0.SCNTF503]
Descriptor description	The full scientific name, with authorship and date information if known.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/scientificName
Unit	n/a

Table 56. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Species	10 - 40	n/a	Cornus mas	n/a	n/a	n/a	Lamiastrum g…	30,258	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	123 ( 0.4% )

Table 57. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Species	100.00%	0.41%	Acer campestre	Acer campestre

Data Distribution Top 20

Figure 9. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 10. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 11. Visualization of completeness of the data in the column.

Uniqueness

Figure 12. Visualization of uniqueness of the data in the column.

Column: lifeform

Table 58. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	lifeform
Description	Not specified by the data provider. Obviously the life (growth) form of the plant, but no reference for the taxonomy (data standards) applied has been given.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 59. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
lifeform	4 - 5	n/a	Tree	n/a	n/a	n/a	Shrub	30,258	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 60. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
lifeform	100.00%	0.01%	Herb	Tree

Data Distribution Top 20

Figure 13. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 14. Visualization of completeness of the data in the column.

Uniqueness

Figure 15. Visualization of uniqueness of the data in the column.

Column: value

Table 61. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	value
Description	Not specified by the data provider.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 62. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
value	1 - 3	29.5	1	5	15	40	110	30,258	29,337 ( 97.0% )	0 ( 0.0% )	0 ( 0.0% )	25 ( 0.1% )

Table 63. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
value	3.04%	0.08%	null	3

Data Distribution Top 20

Figure 16. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 17. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 18. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 19. Visualization of completeness of the data in the column.

Uniqueness

Figure 20. Visualization of uniqueness of the data in the column.

Table: Field Data Protocol 1 PT

Column: Sampling

Table 64. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 65. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling	5 - 13	n/a	Douro	n/a	n/a	n/a	Idanha-a-Nov…	50,685	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 66. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling	100.00%	0.01%	Lousã	Douro

Data Distribution Top 20

Figure 21. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 22. Visualization of completeness of the data in the column.

Uniqueness

Figure 23. Visualization of uniqueness of the data in the column.

Column: Plant community

Table 67. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Plant community
Description	Not specified by the data provider. Obviously the name of a plant community, but no reference for the taxonomy (data standard) applied has been given.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 68. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Plant community	5 - 18	n/a	Scrub	n/a	n/a	n/a	MaritimePine…	50,685	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	15 ( 0.0% )

Table 69. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Plant community	100.00%	0.03%	Scrub	PermPasture

Data Distribution Top 20

Figure 24. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 25. Visualization of completeness of the data in the column.

Uniqueness

Figure 26. Visualization of uniqueness of the data in the column.

Column: ID

Table 70. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	ID
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 71. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
ID	5 - 13	n/a	V.1.2	n/a	n/a	n/a	N.Pl.Fl.R.1.…	50,685	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	155 ( 0.3% )

Table 72. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
ID	100.00%	0.31%	M.P.F.1.1	M.P.F.1.1

Data Distribution Top 20

Figure 27. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 28. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 29. Visualization of completeness of the data in the column.

Uniqueness

Figure 30. Visualization of uniqueness of the data in the column.

Column: Species

Table 73. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Species
Description	Name of the plant species.
Data type	String
Descriptor	dwc:scientificName [UID:0.0.SCNTF503]
Descriptor description	The full scientific name, with authorship and date information if known.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/scientificName
Unit	n/a

Table 74. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Species	8 - 49	n/a	Rosa sp.	n/a	n/a	n/a	Ranunculus o…	50,685	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	327 ( 0.6% )

Table 75. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Species	100.00%	0.65%	Acacia dealbata	Acacia dealbata

Completeness

Figure 31. Visualization of completeness of the data in the column.

Uniqueness

Figure 32. Visualization of uniqueness of the data in the column.

Column: lifeform

Table 76. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	lifeform
Description	Not specified by the data provider. Obviously the life (growth) form of the plant, but no reference for the taxonomy (data standards) applied has been given.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 77. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
lifeform	4 - 5	n/a	Tree	n/a	n/a	n/a	Shrub	50,685	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 78. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
lifeform	100.00%	0.01%	Herb	Tree

Data Distribution Top 20

Figure 33. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 34. Visualization of completeness of the data in the column.

Uniqueness

Figure 35. Visualization of uniqueness of the data in the column.

Column: value

Table 79. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	value
Description	Not specified by the data provider.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 80. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
value	1 - 11	7.6547848100	1	1	5	10	95	50,685	48,710 ( 96.1% )	0 ( 0.0% )	0 ( 0.0% )	49 ( 0.1% )

Table 81. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
value	3.90%	0.10%	null	30.5

Data Distribution Top 20

Figure 36. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 37. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 38. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 39. Visualization of completeness of the data in the column.

Uniqueness

Figure 40. Visualization of uniqueness of the data in the column.

Table: Field Data Protocol 1 UK

Column: Sampling

Table 82. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling
Description	Not specified by the provider of Field Data Protocol 1 PT.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 83. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling	0 - 0	n/a		n/a	n/a	n/a		1,710	1,710 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 84. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling	0.00%	0.06%	null	null

Data Distribution Top 20

Figure 41. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 42. Visualization of completeness of the data in the column.

Uniqueness

Figure 43. Visualization of uniqueness of the data in the column.

Column: Plant community

Table 85. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Plant community
Description	Not specified by the data provider. Obviously the name of a plant community, but no reference for the taxonomy (data standard) applied has been given.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 86. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Plant community	6 - 17	n/a	Hedges	n/a	n/a	n/a	Natural Wet…	1,710	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.3% )

Table 87. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Plant community	100.00%	0.29%	Deciduous Forest	Deciduous Forest

Data Distribution Top 20

Figure 44. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 45. Visualization of completeness of the data in the column.

Uniqueness

Figure 46. Visualization of uniqueness of the data in the column.

Column: ID

Table 88. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	ID
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 89. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
ID	4 - 6	n/a	H1.1	n/a	n/a	n/a	NWG3.3	1,710	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	45 ( 2.6% )

Table 90. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
ID	100.00%	2.63%	DF1.1	DF1.1

Completeness

Figure 47. Visualization of completeness of the data in the column.

Uniqueness

Figure 48. Visualization of uniqueness of the data in the column.

Column: Species

Table 91. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Species
Description	Name of the plant species.
Data type	String
Descriptor	dwc:scientificName [UID:0.0.SCNTF503]
Descriptor description	The full scientific name, with authorship and date information if known.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/scientificName
Unit	n/a

Table 92. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Species	8 - 25	n/a	Acer sp.	n/a	n/a	n/a	Pentaglottis…	1,710	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	38 ( 2.2% )

Table 93. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Species	100.00%	2.22%	Acer pseudoplantanus	Acer pseudoplantanus

Data Distribution Top 20

Figure 49. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 50. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 51. Visualization of completeness of the data in the column.

Uniqueness

Figure 52. Visualization of uniqueness of the data in the column.

Column: lifeform

Table 94. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	lifeform
Description	Not specified by the data provider. Obviously the life (growth) form of the plant, but no reference for the taxonomy (data standards) applied has been given.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 95. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
lifeform	4 - 5	n/a	Tree	n/a	n/a	n/a	Shrub	1,710	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.2% )

Table 96. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
lifeform	100.00%	0.18%	Herb	Shrub

Data Distribution Top 20

Figure 53. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 54. Visualization of completeness of the data in the column.

Uniqueness

Figure 55. Visualization of uniqueness of the data in the column.

Column: value

Table 97. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	value
Description	Not specified by the data provider.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 98. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
value	1 - 11	39.4641089100	5	10	25	69.28571429	100	1,710	1,508 ( 88.2% )	0 ( 0.0% )	0 ( 0.0% )	91 ( 5.3% )

Table 99. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
value	11.81%	5.32%	null	76.42857143

Continuous Data Distribution

Figure 56. Distribution of values in the column.

Outliers

Figure 57. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 58. Visualization of completeness of the data in the column.

Uniqueness

Figure 59. Visualization of uniqueness of the data in the column.

Table: Field Data Protocol 2 BE

Column: Replica

Table 100. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Replica
Description	Not specified by the data provider. Presumably the designation of the replicate of a sample plot.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 101. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Replica	8 - 21	n/a	Sterre 1	n/a	n/a	n/a	na kruispunt…	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	26 ( 0.1% )

Table 102. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Replica	100.00%	0.14%	Sterre 1	Blaarmeersen 1

Data Distribution Top 20

Figure 60. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 61. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 62. Visualization of completeness of the data in the column.

Uniqueness

Figure 63. Visualization of uniqueness of the data in the column.

Column: Individual

Table 103. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Individual
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 104. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Individual	1 - 1	3.0	1	2	3	4	5	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.0% )

Table 105. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Individual	100.00%	0.03%	4	4

Data Distribution Top 20

Figure 64. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 65. Distribution of values in the column.

Outliers

Figure 66. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 67. Visualization of completeness of the data in the column.

Uniqueness

Figure 68. Visualization of uniqueness of the data in the column.

Column: Latitude

Table 106. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Latitude
Description	Not specified by the data provider. Presumably the latitude of the geographical position in WGS 84 format of the location in which the observation was recorded..
Data type	Decimal number
Descriptor	dwc:decimalLatitude [UID:0.0.LTTDE333]
Descriptor description	The geographic latitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are north of the Equator, negative values are south of it. Legal values lie between -90 and 90, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLatitude
Unit	°

Table 107. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Latitude	7 - 9	51.0520842	51.025099	51.03836625	51.052804	51.066932	51.077753	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	25 ( 0.1% )

Table 108. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Latitude	100.00%	0.14%	51.025099	51.065379

Data Distribution Top 20

Figure 69. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 70. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 71. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 72. Visualization of completeness of the data in the column.

Uniqueness

Figure 73. Visualization of uniqueness of the data in the column.

Column: Longitude

Table 109. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Longitude
Description	Not specified by the data provider. Presumably the longitude of the geographical position in WGS 84 format of the location in which the observation was recorded.
Data type	Decimal number
Descriptor	dwc:decimalLongitude [UID:0.0.LNGTD332]
Descriptor description	The geographic longitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are east of the Greenwich Meridian, negative values are west of it. Legal values lie between -180 and 180, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLongitude
Unit	°

Table 110. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Longitude	7 - 8	3.6771414	3.572587	3.65415125	3.685298	3.70848275	3.718831	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	25 ( 0.1% )

Table 111. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Longitude	100.00%	0.14%	3.712779	3.67138

Data Distribution Top 20

Figure 74. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 75. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 76. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 77. Visualization of completeness of the data in the column.

Uniqueness

Figure 78. Visualization of uniqueness of the data in the column.

Column: Elevation

Table 112. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Elevation
Description	Not specified by the data provider. Presumably height above mean sea level of the location in which the observation was recorded.
Data type	Decimal number
Descriptor	pms:heightAboveMeanSeaLevel [UID:0.0.HGHTB393]
Descriptor description	Height above mean sea level is a measure of the vertical distance (height, elevation or altitude) of a location in reference to a historic mean sea level taken as a vertical datum. In geodesy, it is formalized as orthometric heights.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HGHTB393
Unit	m

Table 113. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Elevation	2 - 2	10.0	10	10	10	10	10	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 114. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Elevation	100.00%	0.01%	10	10

Data Distribution Top 20

Figure 79. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 80. Distribution of values in the column.

Outliers

Figure 81. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 82. Visualization of completeness of the data in the column.

Uniqueness

Figure 83. Visualization of uniqueness of the data in the column.

Column: Species

Table 115. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Species
Description	Not specified by the data provider. Presumably the species to which the recorded observation refers to.
Data type	String
Descriptor	dwc:scientificName [UID:0.0.SCNTF503]
Descriptor description	The full scientific name, with authorship and date information if known.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/scientificName
Unit	n/a

Table 116. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Species	10 - 20	n/a	Salix alba	n/a	n/a	n/a	Robinia pseu…	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	20 ( 0.1% )

Table 117. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Species	100.00%	0.11%	Prunus avium	Prunus avium

Data Distribution Top 20

Figure 84. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 85. Visualization of completeness of the data in the column.

Uniqueness

Figure 86. Visualization of uniqueness of the data in the column.

Column: BBCH 60

Table 118. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	BBCH 60
Description	Not specified by the data provider.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 119. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
BBCH 60	10 - 10	2,021.0	2021-01-03	2,021	2,021	2,021	2021-09-21	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	22 ( 0.1% )

Table 120. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
BBCH 60	100.00%	0.12%	2021-06-15	2021-03-02

Data Distribution Top 20

Figure 87. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 88. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 89. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 90. Visualization of completeness of the data in the column.

Uniqueness

Figure 91. Visualization of uniqueness of the data in the column.

Column: BBCH 65

Table 121. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	BBCH 65
Description	Not specified by the data provider.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 122. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
BBCH 65	10 - 10	2,021.0	2021-01-03	2,021	2,021	2,021	2021-09-21	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	19 ( 0.1% )

Table 123. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
BBCH 65	100.00%	0.11%	2021-03-05	2021-03-15

Data Distribution Top 20

Figure 92. Distribution of 20 most common values, from highest to lowest.

Outliers

Figure 93. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 94. Visualization of completeness of the data in the column.

Uniqueness

Figure 95. Visualization of uniqueness of the data in the column.

Column: BBCH 69

Table 124. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	BBCH 69
Description	Not specified by the data provider.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 125. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
BBCH 69	10 - 10	2,021.0	2021-01-03	2,021	2,021	2,021	2021-11-30	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	21 ( 0.1% )

Table 126. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
BBCH 69	100.00%	0.12%	2021-06-25	2021-10-28

Data Distribution Top 20

Figure 96. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 97. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 98. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 99. Visualization of completeness of the data in the column.

Uniqueness

Figure 100. Visualization of uniqueness of the data in the column.

Column: Week

Table 127. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Week
Description	Not specified by the data provider. Presumably the calendar week of the year in which the observation was recorded.
Data type	Integer number
Descriptor	iso-8601:calendarWeekOfYear [UID:0.0.CLNDR514]
Descriptor description	ordinal number of a calendar week [...] within a calendar year [...] of the week calendar [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.CLNDR514
Unit	n/a

Table 128. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Week	1 - 2	18.0	1	9	18	27	35	18,000	500 ( 2.8% )	0 ( 0.0% )	0 ( 0.0% )	36 ( 0.2% )

Table 129. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Week	97.22%	0.20%	21	21

Data Distribution Top 20

Figure 101. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 102. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 103. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 104. Visualization of completeness of the data in the column.

Uniqueness

Figure 105. Visualization of uniqueness of the data in the column.

Column: Sampling

Table 130. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 131. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling	1 - 2	18.0	1	9	18	27	35	18,000	500 ( 2.8% )	0 ( 0.0% )	0 ( 0.0% )	36 ( 0.2% )

Table 132. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling	97.22%	0.20%	21	21

Data Distribution Top 20

Figure 106. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 107. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 108. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 109. Visualization of completeness of the data in the column.

Uniqueness

Figure 110. Visualization of uniqueness of the data in the column.

Column: datatype

Table 133. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	datatype
Description	Data type of the value given in column value {decimal, text}.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 134. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
datatype	4 - 7	n/a	text	n/a	n/a	n/a	decimal	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.0% )

Table 135. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
datatype	100.00%	0.01%	decimal	text

Data Distribution Top 20

Figure 111. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 112. Visualization of completeness of the data in the column.

Uniqueness

Figure 113. Visualization of uniqueness of the data in the column.

Column: variable

Table 136. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	variable
Description	variable reported in column value.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 137. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
variable	5 - 10	n/a	Notes	n/a	n/a	n/a	2021-02-08	18,000	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	36 ( 0.2% )

Table 138. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
variable	100.00%	0.20%	2021-06-03	2021-06-03

Data Distribution Top 20

Figure 114. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 115. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 116. Visualization of completeness of the data in the column.

Uniqueness

Figure 117. Visualization of uniqueness of the data in the column.

Column: value

Table 139. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	value
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 140. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
value	0 - 59	n/a		n/a	n/a	n/a	*UNUSUALLY L…	18,000	15,698 ( 87.2% )	1,344 ( 7.5% )	0 ( 0.0% )	20 ( 0.1% )

Table 141. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
value	12.79%	0.11%	null	DIFFICULT TO JUDGE IF FLOWERS BELONG TO THE SAME PLANT

Data Distribution Top 20

Figure 118. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 119. Visualization of completeness of the data in the column.

Uniqueness

Figure 120. Visualization of uniqueness of the data in the column.

Table: Field Data Protocol 2 PT

Column: Replica

Table 142. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Replica
Description	Not specified by the data provider. Presumably the designation of the replicate of a sample plot.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 143. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Replica	3 - 4	n/a	AA1	n/a	n/a	n/a	SL13	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	36 ( 0.1% )

Table 144. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Replica	100.00%	0.09%	SL2	LM1

Data Distribution Top 20

Figure 121. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 122. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 123. Visualization of completeness of the data in the column.

Uniqueness

Figure 124. Visualization of uniqueness of the data in the column.

Column: Individual

Table 145. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Individual
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 146. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Individual	1 - 2	3.5	1	2	3	5	10	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	10 ( 0.0% )

Table 147. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Individual	100.00%	0.03%	1	8

Data Distribution Top 20

Figure 125. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 126. Distribution of values in the column.

Outliers

Figure 127. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 128. Visualization of completeness of the data in the column.

Uniqueness

Figure 129. Visualization of uniqueness of the data in the column.

Column: Latitude

Table 148. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Latitude
Description	Not specified by the data provider. Presumably the latitude of the geographical position in WGS 84 format of the location in which the observation was recorded.
Data type	Decimal number
Descriptor	dwc:decimalLatitude [UID:0.0.LTTDE333]
Descriptor description	The geographic latitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are north of the Equator, negative values are south of it. Legal values lie between -90 and 90, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLatitude
Unit	°

Table 149. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Latitude	8 - 9	40.2021699	39.508028	40.23397	40.23976	40.24695	40.851464	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	32 ( 0.1% )

Table 150. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Latitude	100.00%	0.08%	40.23976	39.920843

Data Distribution Top 20

Figure 130. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 131. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 132. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 133. Visualization of completeness of the data in the column.

Uniqueness

Figure 134. Visualization of uniqueness of the data in the column.

Column: Longitude

Table 151. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Longitude
Description	Not specified by the data provider. Presumably the longitude of the geographical position in WGS 84 format of the location in which the observation was recorded.
Data type	Decimal number
Descriptor	dwc:decimalLongitude [UID:0.0.LNGTD332]
Descriptor description	The geographic longitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are east of the Greenwich Meridian, negative values are west of it. Legal values lie between -180 and 180, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLongitude
Unit	°

Table 152. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Longitude	8 - 9	-7.9815660	-9.039889	-8.309625	-7.71009	-7.70519	-7.446037	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	32 ( 0.1% )

Table 153. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Longitude	100.00%	0.08%	-7.71009	-8.655352

Data Distribution Top 20

Figure 135. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 136. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 137. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 138. Visualization of completeness of the data in the column.

Uniqueness

Figure 139. Visualization of uniqueness of the data in the column.

Column: Elevation

Table 154. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Elevation
Description	Not specified by the data provider. Presumably height above mean sea level of the location in which the observation was recorded.
Data type	Decimal number
Descriptor	pms:heightAboveMeanSeaLevel [UID:0.0.HGHTB393]
Descriptor description	Height above mean sea level is a measure of the vertical distance (height, elevation or altitude) of a location in reference to a historic mean sea level taken as a vertical datum. In geodesy, it is formalized as orthometric heights.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HGHTB393
Unit	m

Table 155. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Elevation	2 - 3	504.1	76	336	592	631	824	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	31 ( 0.1% )

Table 156. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Elevation	100.00%	0.08%	631	121

Data Distribution Top 20

Figure 140. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 141. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 142. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 143. Visualization of completeness of the data in the column.

Uniqueness

Figure 144. Visualization of uniqueness of the data in the column.

Column: Species

Table 157. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Species
Description	Not specified by the data provider. Presumably the species to which the recorded observation refers to.
Data type	String
Descriptor	dwc:scientificName [UID:0.0.SCNTF503]
Descriptor description	The full scientific name, with authorship and date information if known.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/scientificName
Unit	n/a

Table 158. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Species	8 - 22	n/a	Ulex sp.	n/a	n/a	n/a	Rosmarinus o…	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	40 ( 0.1% )

Table 159. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Species	100.00%	0.10%	Rubus ulmifolius	Hypericum perforatum

Data Distribution Top 20

Figure 145. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 146. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 147. Visualization of completeness of the data in the column.

Uniqueness

Figure 148. Visualization of uniqueness of the data in the column.

Column: BBCH 60

Table 160. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	BBCH 60
Description	Not specified by the data provider.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 161. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
BBCH 60	0 - 10	2,020.0	2020-02-05	2,020	2,020	2,020	2021-12-26	38,211	17,249 ( 45.1% )	0 ( 0.0% )	0 ( 0.0% )	33 ( 0.1% )

Table 162. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
BBCH 60	54.86%	0.09%	null	2021-12-26

Data Distribution Top 20

Figure 149. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 150. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 151. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 152. Visualization of completeness of the data in the column.

Uniqueness

Figure 153. Visualization of uniqueness of the data in the column.

Column: BBCH 65

Table 163. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	BBCH 65
Description	Not specified by the data provider.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 164. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
BBCH 65	0 - 10	2,020.0	2020-02-05	2,020	2,020	2,020	2021-11-06	38,211	7,473 ( 19.6% )	0 ( 0.0% )	0 ( 0.0% )	49 ( 0.1% )

Table 165. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
BBCH 65	80.44%	0.13%	null	2020-08-29

Data Distribution Top 20

Figure 154. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 155. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 156. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 157. Visualization of completeness of the data in the column.

Uniqueness

Figure 158. Visualization of uniqueness of the data in the column.

Column: BBCH 69

Table 166. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	BBCH 69
Description	Not specified by the data provider.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 167. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
BBCH 69	0 - 10	2,020.0	2020-02-05	2,020	2,020	2,020	2021-12-26	38,211	14,147 ( 37.0% )	0 ( 0.0% )	0 ( 0.0% )	32 ( 0.1% )

Table 168. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
BBCH 69	62.98%	0.08%	null	2021-01-24

Data Distribution Top 20

Figure 159. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 160. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 161. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 162. Visualization of completeness of the data in the column.

Uniqueness

Figure 163. Visualization of uniqueness of the data in the column.

Column: Week

Table 169. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Week
Description	Not specified by the data provider. Presumably the calendar week of the year in which the observation was recorded.
Data type	Integer number
Descriptor	iso-8601:calendarWeekOfYear [UID:0.0.CLNDR514]
Descriptor description	ordinal number of a calendar week [...] within a calendar year [...] of the week calendar [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.CLNDR514
Unit	n/a

Table 170. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Week	1 - 2	17.8	1	6	17	28	39	38,211	1,626 ( 4.3% )	0 ( 0.0% )	0 ( 0.0% )	39 ( 0.1% )

Table 171. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Week	95.74%	0.10%	2	14

Data Distribution Top 20

Figure 164. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 165. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 166. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 167. Visualization of completeness of the data in the column.

Uniqueness

Figure 168. Visualization of uniqueness of the data in the column.

Column: Sampling

Table 172. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 173. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling	1 - 2	17.8	1	6	17	28	39	38,211	1,626 ( 4.3% )	0 ( 0.0% )	0 ( 0.0% )	39 ( 0.1% )

Table 174. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling	95.74%	0.10%	2	14

Data Distribution Top 20

Figure 169. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 170. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 171. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 172. Visualization of completeness of the data in the column.

Uniqueness

Figure 173. Visualization of uniqueness of the data in the column.

Column: datatype

Table 175. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	datatype
Description	Data type of the value given in column value {decimal, text}.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 176. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
datatype	4 - 7	n/a	text	n/a	n/a	n/a	decimal	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.0% )

Table 177. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
datatype	100.00%	0.01%	decimal	text

Data Distribution Top 20

Figure 174. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 175. Visualization of completeness of the data in the column.

Uniqueness

Figure 176. Visualization of uniqueness of the data in the column.

Column: variable

Table 178. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	variable
Description	variable reported in column value.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 179. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
variable	5 - 23	n/a	Notes	n/a	n/a	n/a	20 weeks of…	38,211	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	47 ( 0.1% )

Table 180. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
variable	100.00%	0.12%	2020-09-04	2020-09-04

Data Distribution Top 20

Figure 177. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 178. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 179. Visualization of completeness of the data in the column.

Uniqueness

Figure 180. Visualization of uniqueness of the data in the column.

Column: value

Table 181. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	value
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 182. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
value	0 - 150	n/a		n/a	n/a	n/a	BBCH69: the…	38,211	23,834 ( 62.4% )	9,973 ( 26.1% )	0 ( 0.0% )	121 ( 0.3% )

Table 183. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
value	37.63%	0.32%	null	Cut off on 13/06/2020

Data Distribution Top 20

Figure 181. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 182. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 183. Visualization of completeness of the data in the column.

Uniqueness

Figure 184. Visualization of uniqueness of the data in the column.

Table: Field Data Protocol 2 UK

Column: Replica

Table 184. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Replica
Description	Not specified by the data provider. Presumably the designation of the replicate of a sample plot.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 185. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Replica	1 - 1	3.0	1	2	3	4	5	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.1% )

Table 186. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Replica	100.00%	0.13%	1	1

Data Distribution Top 20

Figure 185. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 186. Distribution of values in the column.

Outliers

Figure 187. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 188. Visualization of completeness of the data in the column.

Uniqueness

Figure 189. Visualization of uniqueness of the data in the column.

Column: Individual

Table 187. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Individual
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 188. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Individual	1 - 1	3.0	1	1	5	5	5	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )

Table 189. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Individual	100.00%	0.05%	5	1

Data Distribution Top 20

Figure 190. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 191. Distribution of values in the column.

Outliers

Figure 192. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 193. Visualization of completeness of the data in the column.

Uniqueness

Figure 194. Visualization of uniqueness of the data in the column.

Column: Latitude

Table 190. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Latitude
Description	Not specified by the data provider. Presumably the latitude of the geographical position in WGS 84 format of the location in which the observation was recorded.
Data type	Decimal number
Descriptor	dwc:decimalLatitude [UID:0.0.LTTDE333]
Descriptor description	The geographic latitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are north of the Equator, negative values are south of it. Legal values lie between -90 and 90, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLatitude
Unit	°

Table 191. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Latitude	8 - 9	52.9268272	52.821186	52.916243	52.929316	52.936127	52.95454	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	135 ( 3.6% )

Table 192. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Latitude	100.00%	3.61%	52.933303	52.913079

Continuous Data Distribution

Figure 195. Distribution of values in the column.

Outliers

Figure 196. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 197. Visualization of completeness of the data in the column.

Uniqueness

Figure 198. Visualization of uniqueness of the data in the column.

Column: Longitude

Table 193. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Longitude
Description	Not specified by the data provider. Presumably the longitude of the geographical position in WGS 84 format of the location in which the observation was recorded.
Data type	Decimal number
Descriptor	dwc:decimalLongitude [UID:0.0.LNGTD332]
Descriptor description	The geographic longitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are east of the Greenwich Meridian, negative values are west of it. Legal values lie between -180 and 180, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLongitude
Unit	°

Table 194. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Longitude	8 - 10	-1.14393586	-1.257952	-1.1725205	-1.156867	-1.1382142	-1.0231103	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	135 ( 3.6% )

Table 195. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Longitude	100.00%	3.61%	-1.1504465	-1.180257

Continuous Data Distribution

Figure 199. Distribution of values in the column.

Outliers

Figure 200. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 201. Visualization of completeness of the data in the column.

Uniqueness

Figure 202. Visualization of uniqueness of the data in the column.

Column: Elevation

Table 196. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Elevation
Description	Not specified by the data provider. Presumably height above mean sea level of the location in which the observation was recorded.
Data type	Decimal number
Descriptor	pms:heightAboveMeanSeaLevel [UID:0.0.HGHTB393]
Descriptor description	Height above mean sea level is a measure of the vertical distance (height, elevation or altitude) of a location in reference to a historic mean sea level taken as a vertical datum. In geodesy, it is formalized as orthometric heights.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HGHTB393
Unit	m

Table 197. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Elevation	2 - 3	34.0	19	27	28	36	109	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	28 ( 0.7% )

Table 198. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Elevation	100.00%	0.75%	28	43

Data Distribution Top 20

Figure 203. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 204. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 205. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 206. Visualization of completeness of the data in the column.

Uniqueness

Figure 207. Visualization of uniqueness of the data in the column.

Column: Species

Table 199. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Species
Description	Not specified by the data provider. Presumably the species to which the recorded observation refers to.
Data type	String
Descriptor	dwc:scientificName [UID:0.0.SCNTF503]
Descriptor description	The full scientific name, with authorship and date information if known.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/scientificName
Unit	n/a

Table 200. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Species	7 - 26	n/a	Cirsium	n/a	n/a	n/a	Hyancinthoid…	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	34 ( 0.9% )

Table 201. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Species	100.00%	0.91%	Acer sp.	Acer sp.

Data Distribution Top 20

Figure 208. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 209. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 210. Visualization of completeness of the data in the column.

Uniqueness

Figure 211. Visualization of uniqueness of the data in the column.

Column: BBCH 60

Table 202. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	BBCH 60
Description	Not specified by the data provider.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 203. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
BBCH 60	0 - 10	2,021.0	2021-01-03	2,021	2,021	2,021	2021-12-04	3,740	330 ( 8.8% )	0 ( 0.0% )	0 ( 0.0% )	17 ( 0.5% )

Table 204. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
BBCH 60	91.18%	0.45%	2021-07-06	2021-06-09

Data Distribution Top 20

Figure 212. Distribution of 20 most common values, from highest to lowest.

Outliers

Figure 213. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 214. Visualization of completeness of the data in the column.

Uniqueness

Figure 215. Visualization of uniqueness of the data in the column.

Column: BBCH 65

Table 205. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	BBCH 65
Description	Not specified by the data provider.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 206. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
BBCH 65	0 - 10	2,021.0	2021-02-08	2,021	2,021	2,021	2021-12-04	3,740	88 ( 2.4% )	0 ( 0.0% )	0 ( 0.0% )	16 ( 0.4% )

Table 207. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
BBCH 65	97.65%	0.43%	2021-07-19	2021-03-15

Data Distribution Top 20

Figure 216. Distribution of 20 most common values, from highest to lowest.

Outliers

Figure 217. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 218. Visualization of completeness of the data in the column.

Uniqueness

Figure 219. Visualization of uniqueness of the data in the column.

Column: BBCH 69

Table 208. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	BBCH 69
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 209. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
BBCH 69	10 - 10	n/a	2021-05-24	n/a	n/a	n/a	2021-07-19	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 0.5% )

Table 210. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
BBCH 69	100.00%	0.48%	2021-02-08	0000-00-00

Data Distribution Top 20

Figure 220. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 221. Visualization of completeness of the data in the column.

Uniqueness

Figure 222. Visualization of uniqueness of the data in the column.

Column: Week

Table 211. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Week
Description	Not specified by the data provider. Presumably the calendar week of the year in which the observation was recorded.
Data type	Integer number
Descriptor	iso-8601:calendarWeekOfYear [UID:0.0.CLNDR514]
Descriptor description	ordinal number of a calendar week [...] within a calendar year [...] of the week calendar [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.CLNDR514
Unit	n/a

Table 212. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Week	1 - 2	11.0	1	6	11	16	21	3,740	170 ( 4.5% )	0 ( 0.0% )	0 ( 0.0% )	22 ( 0.6% )

Table 213. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Week	95.45%	0.59%	1	1

Data Distribution Top 20

Figure 223. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 224. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 225. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 226. Visualization of completeness of the data in the column.

Uniqueness

Figure 227. Visualization of uniqueness of the data in the column.

Column: Sampling

Table 214. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 215. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling	1 - 2	19.5	-2	10	20	30	40	3,740	170 ( 4.5% )	170 ( 4.5% )	0 ( 0.0% )	22 ( 0.6% )

Table 216. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling	95.45%	0.59%	-2	-2

Data Distribution Top 20

Figure 228. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 229. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 230. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 231. Visualization of completeness of the data in the column.

Uniqueness

Figure 232. Visualization of uniqueness of the data in the column.

Column: datatype

Table 217. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	datatype
Description	Data type of the value given in column value {decimal, text}.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 218. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
datatype	4 - 7	n/a	text	n/a	n/a	n/a	decimal	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )

Table 219. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
datatype	100.00%	0.05%	decimal	text

Data Distribution Top 20

Figure 233. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 234. Visualization of completeness of the data in the column.

Uniqueness

Figure 235. Visualization of uniqueness of the data in the column.

Column: variable

Table 220. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	variable
Description	variable reported in column value.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 221. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
variable	5 - 10	n/a	Notes	n/a	n/a	n/a	2021-03-15	3,740	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	22 ( 0.6% )

Table 222. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
variable	100.00%	0.59%	2021-02-15	2021-02-15

Data Distribution Top 20

Figure 236. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 237. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 238. Visualization of completeness of the data in the column.

Uniqueness

Figure 239. Visualization of uniqueness of the data in the column.

Column: value

Table 223. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	value
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 224. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
value	0 - 64	n/a		n/a	n/a	n/a	Experienced…	3,740	115 ( 3.1% )	2,308 ( 61.7% )	0 ( 0.0% )	23 ( 0.6% )

Table 225. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
value	96.93%	0.61%	0	Farmers field

Data Distribution Top 20

Figure 240. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 241. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 242. Visualization of completeness of the data in the column.

Uniqueness

Figure 243. Visualization of uniqueness of the data in the column.

Table: Field Data Protocol 3-1 BE

Column: Landscape window

Table 226. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Landscape window
Description	Not specified by the provider of table Field Data Protocol 3-1 PT.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 227. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Landscape window	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 228. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Landscape window	0.00%	0.10%	null	null

Data Distribution Top 20

Figure 244. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 245. Visualization of completeness of the data in the column.

Uniqueness

Figure 246. Visualization of uniqueness of the data in the column.

Column: Polygon ID

Table 229. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Polygon ID
Description	Not specified by the provider of table Field Data Protocol 3-1 PT.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 230. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Polygon ID	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 231. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Polygon ID	0.00%	0.10%	null	null

Data Distribution Top 20

Figure 247. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 248. Visualization of completeness of the data in the column.

Uniqueness

Figure 249. Visualization of uniqueness of the data in the column.

Column: Polygon Type

Table 232. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Polygon Type
Description	Not specified by the data provider. Presumable the vegetation type of the assessed plot.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 233. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Polygon Type	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 234. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Polygon Type	0.00%	0.10%	null	null

Data Distribution Top 20

Figure 250. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 251. Visualization of completeness of the data in the column.

Uniqueness

Figure 252. Visualization of uniqueness of the data in the column.

Column: Polygon Type_1

Table 235. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Polygon Type_1
Description	Not specified by the provider of table Field Data Protocol 3-1 PT.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 236. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Polygon Type_1	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 237. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Polygon Type_1	0.00%	0.10%	null	null

Data Distribution Top 20

Figure 253. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 254. Visualization of completeness of the data in the column.

Uniqueness

Figure 255. Visualization of uniqueness of the data in the column.

Column: Sampling Polygon ID

Table 238. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling Polygon ID
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 239. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling Polygon ID	6 - 21	n/a	park 1	n/a	n/a	n/a	riparian veg…	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 1.9% )

Table 240. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling Polygon ID	100.00%	1.88%	broadleaved forest 3	cultural grassland 3

Data Distribution Top 20

Figure 256. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 257. Visualization of completeness of the data in the column.

Uniqueness

Figure 258. Visualization of uniqueness of the data in the column.

Column: Sampling point ID

Table 241. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling point ID
Description	Not specified by the data provider. Presumably the identifier of the location in which the sample was taken.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 242. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling point ID	8 - 23	n/a	park 1.1	n/a	n/a	n/a	riparian veg…	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	54 ( 5.6% )

Table 243. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling point ID	100.00%	5.63%	park 1.3	cultural grassland 2.3

Completeness

Figure 259. Visualization of completeness of the data in the column.

Uniqueness

Figure 260. Visualization of uniqueness of the data in the column.

Column: Sampling point LAT

Table 244. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling point LAT
Description	Not specified by the data provider. Presumably the latitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.
Data type	Decimal number
Descriptor	dwc:decimalLatitude [UID:0.0.LTTDE333]
Descriptor description	The geographic latitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are north of the Equator, negative values are south of it. Legal values lie between -90 and 90, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLatitude
Unit	°

Table 245. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling point LAT	9 - 11	51.074036900	51.060805	51.06902533	51.07313868	51.07837482	51.08588371	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 1.9% )

Table 246. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling point LAT	100.00%	1.88%	51.060805	51.07843875

Data Distribution Top 20

Figure 261. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 262. Distribution of values in the column.

Outliers

Figure 263. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 264. Visualization of completeness of the data in the column.

Uniqueness

Figure 265. Visualization of uniqueness of the data in the column.

Column: Sampling point LONG

Table 247. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling point LONG
Description	Not specified by the data provider. Presumably the longitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.
Data type	Decimal number
Descriptor	dwc:decimalLongitude [UID:0.0.LNGTD332]
Descriptor description	The geographic longitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are east of the Greenwich Meridian, negative values are west of it. Legal values lie between -180 and 180, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLongitude
Unit	°

Table 248. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling point LONG	10 - 11	3.5805061000	3.541485383	3.57032134	3.57533183	3.59533403	3.607661948	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 1.9% )

Table 249. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling point LONG	100.00%	1.88%	3.57128787	3.596388063

Data Distribution Top 20

Figure 266. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 267. Distribution of values in the column.

Outliers

Figure 268. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 269. Visualization of completeness of the data in the column.

Uniqueness

Figure 270. Visualization of uniqueness of the data in the column.

Column: Elevation (m)

Table 250. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Elevation (m)
Description	Not specified by the data provider. Presumably the height above see level of the location in which the sample was taken.
Data type	Decimal number
Descriptor	pms:heightAboveMeanSeaLevel [UID:0.0.HGHTB393]
Descriptor description	Height above mean sea level is a measure of the vertical distance (height, elevation or altitude) of a location in reference to a historic mean sea level taken as a vertical datum. In geodesy, it is formalized as orthometric heights.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HGHTB393
Unit	m

Table 251. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Elevation (m)	2 - 2	10.0	10	10	10	10	10	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 252. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Elevation (m)	100.00%	0.10%	10	10

Data Distribution Top 20

Figure 271. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 272. Distribution of values in the column.

Outliers

Figure 273. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 274. Visualization of completeness of the data in the column.

Uniqueness

Figure 275. Visualization of uniqueness of the data in the column.

Column: Survey (7)

Table 253. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Survey (7)
Description	Not specified by the provider of table Field Data Protocol 3-1 UK.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 254. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Survey (7)	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 255. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Survey (7)	0.00%	0.10%	null	null

Data Distribution Top 20

Figure 276. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 277. Visualization of completeness of the data in the column.

Uniqueness

Figure 278. Visualization of uniqueness of the data in the column.

Column: Month (March - September)

Table 256. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Month (March - September)
Description	Not specified by the provider of table Field Data Protocol 3-1 UK. Presumably the Month in which the sample was taken.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 257. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Month (March - September)	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 258. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Month (March - September)	0.00%	0.10%	null	null

Data Distribution Top 20

Figure 279. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 280. Visualization of completeness of the data in the column.

Uniqueness

Figure 281. Visualization of uniqueness of the data in the column.

Column: Date

Table 259. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Date
Description	Not specified by the data provider. Presumably the date at which the sample was taken.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 260. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Date	10 - 10	2,020.0	2020-03-30	2,020	2,020	2,020	2020-12-08	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.7% )

Table 261. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Date	100.00%	0.73%	2020-04-29	2020-03-30

Data Distribution Top 20

Figure 282. Distribution of 20 most common values, from highest to lowest.

Outliers

Figure 283. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 284. Visualization of completeness of the data in the column.

Uniqueness

Figure 285. Visualization of uniqueness of the data in the column.

Column: Common name

Table 262. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Common name
Description	Common name of the plant species which was sampled.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 263. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Common name	4 - 20	n/a	peer	n/a	n/a	n/a	gewone salom…	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	58 ( 6.0% )

Table 264. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Common name	100.00%	6.04%	grote brandnetel	vogelmuur

Completeness

Figure 286. Visualization of completeness of the data in the column.

Uniqueness

Figure 287. Visualization of uniqueness of the data in the column.

Column: Species

Table 265. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Species
Description	Scientific name of the plant species, which was sampled.
Data type	String
Descriptor	dwc:scientificName [UID:0.0.SCNTF503]
Descriptor description	The full scientific name, with authorship and date information if known.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/scientificName
Unit	n/a

Table 266. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Species	10 - 36	n/a	Salix alba	n/a	n/a	n/a	Erodium cicu…	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	58 ( 6.0% )

Table 267. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Species	100.00%	6.04%	Urtica dioica	Stellaria media

Completeness

Figure 288. Visualization of completeness of the data in the column.

Uniqueness

Figure 289. Visualization of uniqueness of the data in the column.

Column: Plant habit (Layer)

Table 268. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Plant habit (Layer)
Description	Not specified by the data provider. Presumably the habotat type at the location in which the sample was taken.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 269. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Plant habit (Layer)	4 - 6	n/a	herb	n/a	n/a	n/a	schrub	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.3% )

Table 270. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Plant habit (Layer)	100.00%	0.31%	herb	schrub

Data Distribution Top 20

Figure 290. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 291. Visualization of completeness of the data in the column.

Uniqueness

Figure 292. Visualization of uniqueness of the data in the column.

Column: Quadrat_PC

Table 271. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Quadrat_PC
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 272. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Quadrat_PC	3 - 5	n/a	5x5	n/a	n/a	n/a	10x10	960	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.3% )

Table 273. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Quadrat_PC	100.00%	0.31%	1x1	5x5

Data Distribution Top 20

Figure 293. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 294. Visualization of completeness of the data in the column.

Uniqueness

Figure 295. Visualization of uniqueness of the data in the column.

Column: Plant cover (%)

Table 274. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Plant cover (%)
Description	Not specified by the data provider. Presumably the percentage of ground surface that is covered by the plant species in column Species.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	%

Table 275. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Plant cover (%)	1 - 3	42.3	0	10	37.5	75	100	960	0 ( 0.0% )	81 ( 8.4% )	0 ( 0.0% )	21 ( 2.2% )

Table 276. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Plant cover (%)	100.00%	2.19%	100	8

Data Distribution Top 20

Figure 296. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 297. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 298. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 299. Visualization of completeness of the data in the column.

Uniqueness

Figure 300. Visualization of uniqueness of the data in the column.

Column: Flowering Plant cover (%)

Table 277. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Flowering Plant cover (%)
Description	Not specified by the provider of table Field Data Protocol 3-1 PT.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	%

Table 278. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Flowering Plant cover (%)	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 279. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Flowering Plant cover (%)	0.00%	0.10%	null	null

Data Distribution Top 20

Figure 301. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 302. Visualization of completeness of the data in the column.

Uniqueness

Figure 303. Visualization of uniqueness of the data in the column.

Column: Quadrat_FA

Table 280. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Quadrat_FA
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 281. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Quadrat_FA	0 - 5	n/a		n/a	n/a	n/a	10x10	960	861 ( 89.7% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 1.3% )

Table 282. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Quadrat_FA	10.31%	1.25%	null	1x1.5

Data Distribution Top 20

Figure 304. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 305. Visualization of completeness of the data in the column.

Uniqueness

Figure 306. Visualization of uniqueness of the data in the column.

Column: No Flowers

Table 283. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	No Flowers
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 284. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
No Flowers	3 - 6	180.18	1.0	5	15	42	5,000.0	960	861 ( 89.7% )	0 ( 0.0% )	0 ( 0.0% )	46 ( 4.8% )

Table 285. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
No Flowers	10.31%	4.79%	null	600.0

Continuous Data Distribution

Figure 307. Distribution of values in the column.

Outliers

Figure 308. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 309. Visualization of completeness of the data in the column.

Uniqueness

Figure 310. Visualization of uniqueness of the data in the column.

Column: Area (m2)

Table 286. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Area (m2)
Description	Not specified by the data provider.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	m2

Table 287. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Area (m2)	3 - 5	4.98	1.0	1	1	1	100.0	960	861 ( 89.7% )	0 ( 0.0% )	0 ( 0.0% )	11 ( 1.1% )

Table 288. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Area (m2)	10.31%	1.15%	null	1.5

Data Distribution Top 20

Figure 311. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 312. Distribution of values in the column.

Outliers

Figure 313. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 314. Visualization of completeness of the data in the column.

Uniqueness

Figure 315. Visualization of uniqueness of the data in the column.

Column: Notes

Table 289. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Notes
Description	Unstructured notes reported by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 290. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Notes	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 291. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Notes	0.00%	0.10%	null	null

Data Distribution Top 20

Figure 316. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 317. Visualization of completeness of the data in the column.

Uniqueness

Figure 318. Visualization of uniqueness of the data in the column.

Column: flm2

Table 292. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	flm2
Description	Not specified by the provider of table Field Data Protocol 3-1 PT.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 293. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
flm2	0 - 0	n/a		n/a	n/a	n/a		960	960 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 294. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
flm2	0.00%	0.10%	null	null

Data Distribution Top 20

Figure 319. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 320. Visualization of completeness of the data in the column.

Uniqueness

Figure 321. Visualization of uniqueness of the data in the column.

Table: Field Data Protocol 3-1 PT

Column: Landscape window

Table 295. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Landscape window
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 296. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Landscape window	5 - 13	n/a	Lousã	n/a	n/a	n/a	Idanha-a-Nov…	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.1% )

Table 297. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Landscape window	100.00%	0.09%	Idanha-a-Nova	Douro

Data Distribution Top 20

Figure 322. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 323. Visualization of completeness of the data in the column.

Uniqueness

Figure 324. Visualization of uniqueness of the data in the column.

Column: Polygon ID

Table 298. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Polygon ID
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 299. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Polygon ID	0 - 15	n/a		n/a	n/a	n/a	PTidan279886…	3,434	54 ( 1.6% )	0 ( 0.0% )	0 ( 0.0% )	57 ( 1.7% )

Table 300. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Polygon ID	98.43%	1.66%	PTserr947813812	O.2

Data Distribution Top 20

Figure 325. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 326. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 327. Visualization of completeness of the data in the column.

Uniqueness

Figure 328. Visualization of uniqueness of the data in the column.

Column: Polygon Type

Table 301. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Polygon Type
Description	Not specified by the data provider. Presumable the vegetation type of the assessed plot.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 302. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Polygon Type	0 - 23	n/a		n/a	n/a	n/a	tole_Maritim…	3,434	54 ( 1.6% )	0 ( 0.0% )	0 ( 0.0% )	16 ( 0.5% )

Table 303. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Polygon Type	98.43%	0.47%	tole_Scrub	tole_InvasiveForest

Data Distribution Top 20

Figure 329. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 330. Visualization of completeness of the data in the column.

Uniqueness

Figure 331. Visualization of uniqueness of the data in the column.

Column: Polygon Type_1

Table 304. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Polygon Type_1
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 305. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Polygon Type_1	10 - 23	n/a	tole_Scrub	n/a	n/a	n/a	tole_Maritim…	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	15 ( 0.4% )

Table 306. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Polygon Type_1	100.00%	0.44%	tole_Scrub	tole_InvasiveForest

Data Distribution Top 20

Figure 332. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 333. Visualization of completeness of the data in the column.

Uniqueness

Figure 334. Visualization of uniqueness of the data in the column.

Column: Sampling Polygon ID

Table 307. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling Polygon ID
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 308. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling Polygon ID	3 - 13	n/a	S.1	n/a	n/a	n/a	Fl.A.F.+R.1.…	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	56 ( 1.6% )

Table 309. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling Polygon ID	100.00%	1.63%	V.1	Fl.E.+F,1

Data Distribution Top 20

Figure 335. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 336. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 337. Visualization of completeness of the data in the column.

Uniqueness

Figure 338. Visualization of uniqueness of the data in the column.

Column: Sampling point ID

Table 310. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling point ID
Description	Not specified by the data provider. Presumably the identifier of the location in which the sample was taken.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 311. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling point ID	5 - 13	n/a	S.1.1	n/a	n/a	n/a	N.Pl.Fl.A.1.…	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	155 ( 4.5% )

Table 312. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling point ID	100.00%	4.51%	V.E.P.D.2.3	V.1.6

Completeness

Figure 339. Visualization of completeness of the data in the column.

Uniqueness

Figure 340. Visualization of uniqueness of the data in the column.

Column: Sampling point LAT

Table 313. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling point LAT
Description	Not specified by the data provider. Presumably the latitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.
Data type	Decimal number
Descriptor	dwc:decimalLatitude [UID:0.0.LTTDE333]
Descriptor description	The geographic latitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are north of the Equator, negative values are south of it. Legal values lie between -90 and 90, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLatitude
Unit	°

Table 314. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling point LAT	6 - 10	40.18793705	39.84616	39.860447	40.04721	40.06069	41.16643	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	153 ( 4.5% )

Table 315. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling point LAT	100.00%	4.46%	39.865418	39.857

Continuous Data Distribution

Figure 341. Distribution of values in the column.

Outliers

Figure 342. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 343. Visualization of completeness of the data in the column.

Uniqueness

Figure 344. Visualization of uniqueness of the data in the column.

Column: Sampling point LONG

Table 316. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling point LONG
Description	Not specified by the data provider. Presumably the longitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.
Data type	Decimal number
Descriptor	dwc:decimalLongitude [UID:0.0.LNGTD332]
Descriptor description	The geographic longitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are east of the Greenwich Meridian, negative values are west of it. Legal values lie between -180 and 180, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLongitude
Unit	°

Table 317. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling point LONG	6 - 10	-7.68714980	-8.25608	-8.23985	-7.69341	-7.164823	-7.14442	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	156 ( 4.5% )

Table 318. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling point LONG	100.00%	4.54%	-7.15105	-7.70081

Continuous Data Distribution

Figure 345. Distribution of values in the column.

Outliers

Figure 346. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 347. Visualization of completeness of the data in the column.

Uniqueness

Figure 348. Visualization of uniqueness of the data in the column.

Column: Elevation (m)

Table 319. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Elevation (m)
Description	Not specified by the data provider. Presumably the height above see level of the location in which the sample was taken.
Data type	Decimal number
Descriptor	pms:heightAboveMeanSeaLevel [UID:0.0.HGHTB393]
Descriptor description	Height above mean sea level is a measure of the vertical distance (height, elevation or altitude) of a location in reference to a historic mean sea level taken as a vertical datum. In geodesy, it is formalized as orthometric heights.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HGHTB393
Unit	m

Table 320. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Elevation (m)	2 - 3	470.6	77	231	278	815	975	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	116 ( 3.4% )

Table 321. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Elevation (m)	100.00%	3.38%	219	405

Continuous Data Distribution

Figure 349. Distribution of values in the column.

Outliers

Figure 350. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 351. Visualization of completeness of the data in the column.

Uniqueness

Figure 352. Visualization of uniqueness of the data in the column.

Column: Survey (7)

Table 322. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Survey (7)
Description	Not specified by the provider of table Field Data Protocol 3-1 UK.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 323. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Survey (7)	0 - 0	n/a		n/a	n/a	n/a		3,434	3,434 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 324. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Survey (7)	0.00%	0.03%	null	null

Data Distribution Top 20

Figure 353. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 354. Visualization of completeness of the data in the column.

Uniqueness

Figure 355. Visualization of uniqueness of the data in the column.

Column: Month (March - September)

Table 325. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Month (March - September)
Description	Not specified by the provider of table Field Data Protocol 3-1 UK. Presumably the Month in which the sample was taken.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 326. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Month (March - September)	0 - 0	n/a		n/a	n/a	n/a		3,434	3,434 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 327. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Month (March - September)	0.00%	0.03%	null	null

Data Distribution Top 20

Figure 356. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 357. Visualization of completeness of the data in the column.

Uniqueness

Figure 358. Visualization of uniqueness of the data in the column.

Column: Date

Table 328. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Date
Description	Not specified by the data provider. Presumably the date at which the sample was taken.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 329. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Date	10 - 10	2,020.0	2020-03-14	2,020	2,020	2,020	2021-05-23	3,434	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	20 ( 0.6% )

Table 330. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Date	100.00%	0.58%	2020-04-18	2020-10-16

Data Distribution Top 20

Figure 359. Distribution of 20 most common values, from highest to lowest.

Outliers

Figure 360. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 361. Visualization of completeness of the data in the column.

Uniqueness

Figure 362. Visualization of uniqueness of the data in the column.

Column: Common name

Table 331. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Common name
Description	Common name of the plant species which was sampled.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 332. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Common name	0 - 0	n/a		n/a	n/a	n/a		3,434	3,434 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 333. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Common name	0.00%	0.03%	null	null

Data Distribution Top 20

Figure 363. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 364. Visualization of completeness of the data in the column.

Uniqueness

Figure 365. Visualization of uniqueness of the data in the column.

Column: Species

Table 334. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Species
Description	Scientific name of the plant species, which was sampled.
Data type	String
Descriptor	dwc:scientificName [UID:0.0.SCNTF503]
Descriptor description	The full scientific name, with authorship and date information if known.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/scientificName
Unit	n/a

Table 335. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Species	0 - 49	n/a		n/a	n/a	n/a	Ranunculus o…	3,434	15 ( 0.4% )	232 ( 6.8% )	0 ( 0.0% )	330 ( 9.6% )

Table 336. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Species	99.56%	9.61%	0	Camellia japonica

Completeness

Figure 366. Visualization of completeness of the data in the column.

Uniqueness

Figure 367. Visualization of uniqueness of the data in the column.

Column: Plant habit (Layer)

Table 337. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Plant habit (Layer)
Description	Not specified by the data provider. Presumably the habotat type at the location in which the sample was taken.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 338. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Plant habit (Layer)	0 - 9	n/a		n/a	n/a	n/a	Sub-Shrub	3,434	247 ( 7.2% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.2% )

Table 339. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Plant habit (Layer)	92.81%	0.17%	Herb	Sub-Shrub

Data Distribution Top 20

Figure 368. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 369. Visualization of completeness of the data in the column.

Uniqueness

Figure 370. Visualization of uniqueness of the data in the column.

Column: Quadrat_PC

Table 340. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Quadrat_PC
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 341. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Quadrat_PC	0 - 5	n/a		n/a	n/a	n/a	10X10	3,434	246 ( 7.2% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.2% )

Table 342. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Quadrat_PC	92.84%	0.17%	1x1	10X10

Data Distribution Top 20

Figure 371. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 372. Visualization of completeness of the data in the column.

Uniqueness

Figure 373. Visualization of uniqueness of the data in the column.

Column: Plant cover (%)

Table 343. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Plant cover (%)
Description	Not specified by the data provider. Presumably the percentage of ground surface that is covered by the plant species in column Species.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	%

Table 344. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Plant cover (%)	3 - 4	8.27	0.0	1	5	10	95.0	3,434	54 ( 1.6% )	193 ( 5.6% )	0 ( 0.0% )	20 ( 0.6% )

Table 345. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Plant cover (%)	98.43%	0.58%	5.0	95.0

Data Distribution Top 20

Figure 374. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 375. Distribution of values in the column.

Outliers

Figure 376. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 377. Visualization of completeness of the data in the column.

Uniqueness

Figure 378. Visualization of uniqueness of the data in the column.

Column: Flowering Plant cover (%)

Table 346. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Flowering Plant cover (%)
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	%

Table 347. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Flowering Plant cover (%)	3 - 4	4.82	0.0	1	1	5	75.0	3,434	18 ( 0.5% )	320 ( 9.3% )	0 ( 0.0% )	16 ( 0.5% )

Table 348. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Flowering Plant cover (%)	99.48%	0.47%	1.0	45.0

Data Distribution Top 20

Figure 379. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 380. Distribution of values in the column.

Outliers

Figure 381. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 382. Visualization of completeness of the data in the column.

Uniqueness

Figure 383. Visualization of uniqueness of the data in the column.

Column: Quadrat_FA

Table 349. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Quadrat_FA
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 350. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Quadrat_FA	0 - 3	n/a		n/a	n/a	n/a	1X1	3,434	456 ( 13.3% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.1% )

Table 351. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Quadrat_FA	86.72%	0.09%	1x1	1X1

Data Distribution Top 20

Figure 384. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 385. Visualization of completeness of the data in the column.

Uniqueness

Figure 386. Visualization of uniqueness of the data in the column.

Column: No Flowers

Table 352. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	No Flowers
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 353. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
No Flowers	0 - 5	n/a		n/a	n/a	n/a	11520	3,434	192 ( 5.6% )	292 ( 8.5% )	0 ( 0.0% )	315 ( 9.2% )

Table 354. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
No Flowers	94.41%	9.17%	0	1440

Completeness

Figure 387. Visualization of completeness of the data in the column.

Uniqueness

Figure 388. Visualization of uniqueness of the data in the column.

Column: Area (m2)

Table 355. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Area (m2)
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	m2

Table 356. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Area (m2)	0 - 10	n/a		n/a	n/a	n/a	2.5mx1.80m	3,434	365 ( 10.6% )	0 ( 0.0% )	0 ( 0.0% )	56 ( 1.6% )

Table 357. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Area (m2)	89.37%	1.63%	1	1.5x1.5

Data Distribution Top 20

Figure 389. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 390. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 391. Visualization of completeness of the data in the column.

Uniqueness

Figure 392. Visualization of uniqueness of the data in the column.

Column: Notes

Table 358. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Notes
Description	Unstructured notes reported by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 359. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Notes	0 - 68	n/a		n/a	n/a	n/a	No quaddrado…	3,434	3,322 ( 96.7% )	0 ( 0.0% )	0 ( 0.0% )	58 ( 1.7% )

Table 360. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Notes	3.26%	1.69%	null	10x10 : 2.5% e 2.5% // Observado à distância

Data Distribution Top 20

Figure 393. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 394. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 395. Visualization of completeness of the data in the column.

Uniqueness

Figure 396. Visualization of uniqueness of the data in the column.

Column: flm2

Table 361. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	flm2
Description	Not specified by the data provider.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 362. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
flm2	3 - 8	849.87723	0.114	13	100	500	9,523.81	3,434	3,367 ( 98.0% )	0 ( 0.0% )	0 ( 0.0% )	60 ( 1.7% )

Table 363. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
flm2	1.95%	1.75%	null	640.0

Continuous Data Distribution

Figure 397. Distribution of values in the column.

Outliers

Figure 398. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 399. Visualization of completeness of the data in the column.

Uniqueness

Figure 400. Visualization of uniqueness of the data in the column.

Table: Field Data Protocol 3-1 UK

Column: Landscape window

Table 364. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Landscape window
Description	Not specified by the provider of table Field Data Protocol 3-1 PT.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 365. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Landscape window	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 366. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Landscape window	0.00%	0.09%	null	null

Data Distribution Top 20

Figure 401. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 402. Visualization of completeness of the data in the column.

Uniqueness

Figure 403. Visualization of uniqueness of the data in the column.

Column: Polygon ID

Table 367. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Polygon ID
Description	Not specified by the provider of table Field Data Protocol 3-1 PT.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 368. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Polygon ID	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 369. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Polygon ID	0.00%	0.09%	null	null

Data Distribution Top 20

Figure 404. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 405. Visualization of completeness of the data in the column.

Uniqueness

Figure 406. Visualization of uniqueness of the data in the column.

Column: Polygon Type

Table 370. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Polygon Type
Description	Not specified by the data provider. Presumable the vegetation type of the assessed plot.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 371. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Polygon Type	6 - 17	n/a	Hedges	n/a	n/a	n/a	Natural Wet…	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.4% )

Table 372. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Polygon Type	100.00%	0.43%	Deciduous Forest	Natural Grass

Data Distribution Top 20

Figure 407. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 408. Visualization of completeness of the data in the column.

Uniqueness

Figure 409. Visualization of uniqueness of the data in the column.

Column: Polygon Type_1

Table 373. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Polygon Type_1
Description	Not specified by the provider of table Field Data Protocol 3-1 PT.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 374. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Polygon Type_1	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 375. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Polygon Type_1	0.00%	0.09%	null	null

Data Distribution Top 20

Figure 410. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 411. Visualization of completeness of the data in the column.

Uniqueness

Figure 412. Visualization of uniqueness of the data in the column.

Column: Sampling Polygon ID

Table 376. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling Polygon ID
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 377. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling Polygon ID	4 - 6	n/a	H2.1	n/a	n/a	n/a	NWG2.2	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	45 ( 3.8% )

Table 378. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling Polygon ID	100.00%	3.83%	DF3.3	NG3.2

Completeness

Figure 413. Visualization of completeness of the data in the column.

Uniqueness

Figure 414. Visualization of uniqueness of the data in the column.

Column: Sampling Point ID

Table 379. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling Point ID
Description	Not specified by the data provider. Presumably the identifier of the location in which the sample was taken.
Data type	Boolean
Descriptor	Boolean [UID:0.0.BLEAN316]
Descriptor description	A basic type representing boolean. Supports a simple true or false value.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.BLEAN316
Unit	n/a

Table 380. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling Point ID	1 - 1	n/a	1	n/a	n/a	n/a	1	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 381. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling Point ID	100.00%	0.09%	1	1

Data Distribution Top 20

Figure 415. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 416. Visualization of completeness of the data in the column.

Uniqueness

Figure 417. Visualization of uniqueness of the data in the column.

Column: Sampling point LAT

Table 382. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling point LAT
Description	Not specified by the data provider. Presumably the latitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.
Data type	Decimal number
Descriptor	dwc:decimalLatitude [UID:0.0.LTTDE333]
Descriptor description	The geographic latitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are north of the Equator, negative values are south of it. Legal values lie between -90 and 90, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLatitude
Unit	°

Table 383. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling point LAT	7 - 9	52.9471131	52.941478	52.944667	52.946387	52.948426	52.954819	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	45 ( 3.8% )

Table 384. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling point LAT	100.00%	3.83%	52.944529	52.948426

Continuous Data Distribution

Figure 418. Distribution of values in the column.

Outliers

Figure 419. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 420. Visualization of completeness of the data in the column.

Uniqueness

Figure 421. Visualization of uniqueness of the data in the column.

Column: Sampling point LONG

Table 385. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sampling point LONG
Description	Not specified by the data provider. Presumably the longitude of the geographical coordinates in WGS 84 format of the location in which the sample was taken.
Data type	Decimal number
Descriptor	dwc:decimalLongitude [UID:0.0.LNGTD332]
Descriptor description	The geographic longitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are east of the Greenwich Meridian, negative values are west of it. Legal values lie between -180 and 180, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLongitude
Unit	°

Table 386. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sampling point LONG	8 - 9	-1.0723931	-1.084631	-1.075121	-1.071021	-1.068911	-1.060127	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	45 ( 3.8% )

Table 387. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sampling point LONG	100.00%	3.83%	-1.072439	-1.067301

Continuous Data Distribution

Figure 422. Distribution of values in the column.

Outliers

Figure 423. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 424. Visualization of completeness of the data in the column.

Uniqueness

Figure 425. Visualization of uniqueness of the data in the column.

Column: Elevation (m)

Table 388. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Elevation (m)
Description	Not specified by the data provider. Presumably the height above see level of the location in which the sample was taken.
Data type	Decimal number
Descriptor	pms:heightAboveMeanSeaLevel [UID:0.0.HGHTB393]
Descriptor description	Height above mean sea level is a measure of the vertical distance (height, elevation or altitude) of a location in reference to a historic mean sea level taken as a vertical datum. In geodesy, it is formalized as orthometric heights.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HGHTB393
Unit	m

Table 389. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Elevation (m)	2 - 2	24.0	19	23	24	26	28	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	9 ( 0.8% )

Table 390. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Elevation (m)	100.00%	0.77%	23	20

Data Distribution Top 20

Figure 426. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 427. Distribution of values in the column.

Outliers

Figure 428. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 429. Visualization of completeness of the data in the column.

Uniqueness

Figure 430. Visualization of uniqueness of the data in the column.

Column: Survey (7)

Table 391. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Survey (7)
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 392. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Survey (7)	1 - 1	4.0	1	2	4	6	7	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.6% )

Table 393. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Survey (7)	100.00%	0.60%	4	1

Data Distribution Top 20

Figure 431. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 432. Distribution of values in the column.

Outliers

Figure 433. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 434. Visualization of completeness of the data in the column.

Uniqueness

Figure 435. Visualization of uniqueness of the data in the column.

Column: Month (March - September)

Table 394. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Month (March - September)
Description	Not specified by the data provider. Presumably the Month in which the sample was taken.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 395. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Month (March - September)	3 - 9	n/a	May	n/a	n/a	n/a	September	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.6% )

Table 396. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Month (March - September)	100.00%	0.60%	June	March

Data Distribution Top 20

Figure 436. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 437. Visualization of completeness of the data in the column.

Uniqueness

Figure 438. Visualization of uniqueness of the data in the column.

Column: Date

Table 397. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Date
Description	Not specified by the data provider. Presumably the date at which the sample was taken.
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 398. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Date	10 - 10	2,021.0	2021-03-24	2,021	2,021	2,021	2021-12-08	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.6% )

Table 399. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Date	100.00%	0.60%	2021-09-06	2021-03-24

Data Distribution Top 20

Figure 439. Distribution of 20 most common values, from highest to lowest.

Outliers

Figure 440. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

Figure 441. Visualization of completeness of the data in the column.

Uniqueness

Figure 442. Visualization of uniqueness of the data in the column.

Column: Common name

Table 400. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Common name
Description	Common name of the plant species which was sampled.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 401. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Common name	3 - 16	n/a	Ash	n/a	n/a	n/a	Common Dande…	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	39 ( 3.3% )

Table 402. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Common name	100.00%	3.32%	Yorkshire fog	Cinquefoil

Completeness

Figure 443. Visualization of completeness of the data in the column.

Uniqueness

Figure 444. Visualization of uniqueness of the data in the column.

Column: Species

Table 403. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Species
Description	Scientific name of the plant species, which was sampled.
Data type	String
Descriptor	dwc:scientificName [UID:0.0.SCNTF503]
Descriptor description	The full scientific name, with authorship and date information if known.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/scientificName
Unit	n/a

Table 404. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Species	8 - 25	n/a	Acer sp.	n/a	n/a	n/a	Pentaglottis…	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	38 ( 3.2% )

Table 405. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Species	100.00%	3.24%	Holcus lanatus	Potentilla reptans

Completeness

Figure 445. Visualization of completeness of the data in the column.

Uniqueness

Figure 446. Visualization of uniqueness of the data in the column.

Column: Plant habit (Layer)

Table 406. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Plant habit (Layer)
Description	Not specified by the data provider. Presumably the habotat type at the location in which the sample was taken.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 407. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Plant habit (Layer)	4 - 5	n/a	Tree	n/a	n/a	n/a	Shrub	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.3% )

Table 408. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Plant habit (Layer)	100.00%	0.26%	Herb	Shrub

Data Distribution Top 20

Figure 447. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 448. Visualization of completeness of the data in the column.

Uniqueness

Figure 449. Visualization of uniqueness of the data in the column.

Column: Quadrat_PC

Table 409. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Quadrat_PC
Description	Not specified by the data provider. Presumably the length x width of the plot in which the sample was taken.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 410. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Quadrat_PC	3 - 5	n/a	1x1	n/a	n/a	n/a	10x10	1,174	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.3% )

Table 411. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Quadrat_PC	100.00%	0.26%	1x1	5x5

Data Distribution Top 20

Figure 450. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 451. Visualization of completeness of the data in the column.

Uniqueness

Figure 452. Visualization of uniqueness of the data in the column.

Column: Plant cover (%)

Table 412. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Plant cover (%)
Description	Not specified by the data provider. Presumably the percentage of ground surface that is covered by the plant species in column Species.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	%

Table 413. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Plant cover (%)	1 - 3	44.7	0	10	30	90	100	1,174	0 ( 0.0% )	4 ( 0.3% )	0 ( 0.0% )	22 ( 1.9% )

Table 414. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Plant cover (%)	100.00%	1.87%	100	1

Data Distribution Top 20

Figure 453. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 454. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 455. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 456. Visualization of completeness of the data in the column.

Uniqueness

Figure 457. Visualization of uniqueness of the data in the column.

Column: Flowering Plant cover (%)

Table 415. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Flowering Plant cover (%)
Description	Not specified by the provider of table Field Data Protocol 3-1 PT.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	%

Table 416. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Flowering Plant cover (%)	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 417. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Flowering Plant cover (%)	0.00%	0.09%	null	null

Data Distribution Top 20

Figure 458. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 459. Visualization of completeness of the data in the column.

Uniqueness

Figure 460. Visualization of uniqueness of the data in the column.

Column: Quadrat_FA

Table 418. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Quadrat_FA
Description	Not specified by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 419. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Quadrat_FA	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 420. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Quadrat_FA	0.00%	0.09%	null	null

Data Distribution Top 20

Figure 461. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 462. Visualization of completeness of the data in the column.

Uniqueness

Figure 463. Visualization of uniqueness of the data in the column.

Column: No Flowers

Table 421. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	No Flowers
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 422. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
No Flowers	1 - 3	6.4	0	0	0	0	500	1,174	0 ( 0.0% )	944 ( 80.4% )	0 ( 0.0% )	40 ( 3.4% )

Table 423. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
No Flowers	100.00%	3.41%	0	23

Continuous Data Distribution

Figure 464. Distribution of values in the column.

Completeness

Figure 465. Visualization of completeness of the data in the column.

Uniqueness

Figure 466. Visualization of uniqueness of the data in the column.

Column: Area (m2)

Table 424. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Area (m2)
Description	Not specified by the data provider.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	m2

Table 425. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Area (m2)	1 - 2	0.9	0	0	0	0	10	1,174	0 ( 0.0% )	948 ( 80.7% )	0 ( 0.0% )	9 ( 0.8% )

Table 426. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Area (m2)	100.00%	0.77%	0	8

Data Distribution Top 20

Figure 467. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 468. Distribution of values in the column.

Completeness

Figure 469. Visualization of completeness of the data in the column.

Uniqueness

Figure 470. Visualization of uniqueness of the data in the column.

Column: Notes

Table 427. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Notes
Description	Unstructured notes reported by the data provider.
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 428. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Notes	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 429. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Notes	0.00%	0.09%	null	null

Data Distribution Top 20

Figure 471. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 472. Visualization of completeness of the data in the column.

Uniqueness

Figure 473. Visualization of uniqueness of the data in the column.

Column: flm2

Table 430. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	flm2
Description	Not specified by the provider of table Field Data Protocol 3-1 PT.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 431. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
flm2	0 - 0	n/a		n/a	n/a	n/a		1,174	1,174 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 432. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
flm2	0.00%	0.09%	null	null

Data Distribution Top 20

Figure 474. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 475. Visualization of completeness of the data in the column.

Uniqueness

Figure 476. Visualization of uniqueness of the data in the column.

Table: Field Data Protocol 3-2 All

Column: Country

Table 433. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Country
Description	ISO 3166-1 alpha 2 country code of the country in which the samples were taken.
Data type	String
Descriptor	iso-3166:alpha-2CountryCode [UID:0.0.LPHCN4]
Descriptor description	A two-letter code that represents a country name, recommended as the general purpose code.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.LPHCN4
Unit	n/a

Table 434. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Country	2 - 2	n/a	BE	n/a	n/a	n/a	UK	82	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 3.7% )

Table 435. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Country	100.00%	3.66%	PT	UK

Data Distribution Top 20

Figure 477. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 478. Visualization of completeness of the data in the column.

Uniqueness

Figure 479. Visualization of uniqueness of the data in the column.

Column: Species

Table 436. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Species
Description	Name of the species from which the sample was taken.
Data type	String
Descriptor	dwc:scientificName [UID:0.0.SCNTF503]
Descriptor description	The full scientific name, with authorship and date information if known.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/scientificName
Unit	n/a

Table 437. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Species	10 - 23	n/a	Salix alba	n/a	n/a	n/a	Centranthus…	82	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	78 ( 95.1% )

Table 438. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Species	100.00%	95.12%	Trifolium pratense	Anthriscus sylvestris

Completeness

Figure 480. Visualization of completeness of the data in the column.

Uniqueness

Figure 481. Visualization of uniqueness of the data in the column.

Column: No. Plants sampled

Table 439. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	No. Plants sampled
Description	Not specified by the data provider. Presumably the number of plants that were sampled imn plants from the species specified in column Species.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	no.

Table 440. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
No. Plants sampled	1 - 2	8.8	5	8.5	10	10	10	82	5 ( 6.1% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 4.9% )

Table 441. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
No. Plants sampled	93.90%	4.88%	10	7

Data Distribution Top 20

Figure 482. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 483. Distribution of values in the column.

Outliers

Figure 484. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 485. Visualization of completeness of the data in the column.

Uniqueness

Figure 486. Visualization of uniqueness of the data in the column.

Column: No. of Anthers/flower

Table 442. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	No. of Anthers/flower
Description	Not specified by the data provider. Presumably the average number of anthers per flower in the plants that were sampled from the species specified in column Species.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 443. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
No. of Anthers/flower	1 - 5	13.983	1	5	8	10	120.9	82	15 ( 18.3% )	0 ( 0.0% )	0 ( 0.0% )	28 ( 34.1% )

Table 444. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
No. of Anthers/flower	81.71%	34.15%	null	50

Continuous Data Distribution

Figure 487. Distribution of values in the column.

Outliers

Figure 488. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 489. Visualization of completeness of the data in the column.

Uniqueness

Figure 490. Visualization of uniqueness of the data in the column.

Column: No. Of pollen grains/anther

Table 445. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	No. Of pollen grains/anther
Description	Not specified by the data provider. Presumably the average number of pollen grains per anther in the plants that were sampled from the species specified in column Species.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 446. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
No. Of pollen grains/anther	1 - 7	2,783.467	4	96	492.4	3,630	32,600	82	15 ( 18.3% )	0 ( 0.0% )	0 ( 0.0% )	67 ( 81.7% )

Table 447. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
No. Of pollen grains/anther	81.71%	81.71%	null	37

Continuous Data Distribution

Figure 491. Distribution of values in the column.

Outliers

Figure 492. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 493. Visualization of completeness of the data in the column.

Uniqueness

Figure 494. Visualization of uniqueness of the data in the column.

Column: No. Of pollen/flower

Table 448. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	No. Of pollen/flower
Description	Not specified by the data provider. Presumably the average number of pollen per flower in the plants that were sampled from the species specified in column Species.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 449. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
No. Of pollen/flower	2 - 7	300,223.588	30	638	3,025	25,187.5	5,582,400	82	5 ( 6.1% )	0 ( 0.0% )	0 ( 0.0% )	76 ( 92.7% )

Table 450. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
No. Of pollen/flower	93.90%	92.68%	null	185

Continuous Data Distribution

Figure 495. Distribution of values in the column.

Outliers

Figure 496. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 497. Visualization of completeness of the data in the column.

Uniqueness

Figure 498. Visualization of uniqueness of the data in the column.

Column: No. Of pollen/inflorescence

Table 451. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	No. Of pollen/inflorescence
Description	Not specified by the data provider. Presumably the average number of pollen per infloresecence in the plants that were sampled from the species specified in column Species.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 452. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
No. Of pollen/inflorescence	5 - 6	136,959.0	10,155	47,292.5	116,237.5	180,537.5	456,010	82	72 ( 87.8% )	0 ( 0.0% )	0 ( 0.0% )	11 ( 13.4% )

Table 453. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
No. Of pollen/inflorescence	12.20%	13.41%	null	120125

Continuous Data Distribution

Figure 499. Distribution of values in the column.

Outliers

Figure 500. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 501. Visualization of completeness of the data in the column.

Uniqueness

Figure 502. Visualization of uniqueness of the data in the column.

Column: No. of flowers per flower cluster/catkin

Table 454. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	No. of flowers per flower cluster/catkin
Description	Not specified by the data provider. Presumably the average number of flowers per flower cluster in the plants that were sampled from the species specified in column Species.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 455. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
No. of flowers per flower cluster/catkin	2 - 5	145.99	13.3	34	93.4	224	844	82	63 ( 76.8% )	0 ( 0.0% )	0 ( 0.0% )	20 ( 24.4% )

Table 456. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
No. of flowers per flower cluster/catkin	23.17%	24.39%	null	13.3

Continuous Data Distribution

Figure 503. Distribution of values in the column.

Outliers

Figure 504. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 505. Visualization of completeness of the data in the column.

Uniqueness

Figure 506. Visualization of uniqueness of the data in the column.

Column: Number of samples

Table 457. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Number of samples
Description	Not specified by the data provider. Presumably the number of samples that were taken from the species specified in column Species.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	no.

Table 458. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Number of samples	1 - 2	20.0	0	8.25	30	30	30	82	52 ( 63.4% )	1 ( 1.2% )	0 ( 0.0% )	8 ( 9.8% )

Table 459. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Number of samples	36.59%	9.76%	null	0

Data Distribution Top 20

Figure 507. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 508. Distribution of values in the column.

Outliers

Figure 509. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 510. Visualization of completeness of the data in the column.

Uniqueness

Figure 511. Visualization of uniqueness of the data in the column.

Column: Nectar volume/flower (µl)

Table 460. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Nectar volume/flower (µl)
Description	Not specified by the data provider. Presumably the average volume of nectar per plant of samples that were taken from the species specified in column Species.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	mm3

Table 461. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Nectar volume/flower (µl)	1 - 6	6.768	0	0.48	0.77	1.5	172.03	82	35 ( 42.7% )	2 ( 2.4% )	0 ( 0.0% )	36 ( 43.9% )

Table 462. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Nectar volume/flower (µl)	57.32%	43.90%	null	2

Continuous Data Distribution

Figure 512. Distribution of values in the column.

Outliers

Figure 513. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 514. Visualization of completeness of the data in the column.

Uniqueness

Figure 515. Visualization of uniqueness of the data in the column.

Column: Sugar concentration/flower (% Brix)

Table 463. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sugar concentration/flower (% Brix)
Description	Not specified by the data provider. Presumably the average sugar concentration per flower of samples that were taken from the species specified in column Species.
Data type	Decimal number
Descriptor	DecimalNumber [UID:0.0.DCMLN314]
Descriptor description	Any of the rational or irrational numbers.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit	n/a

Table 464. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sugar concentration/flower (% Brix)	1 - 5	23.708	0	4.525	17.735	31.5025	216.2	82	38 ( 46.3% )	2 ( 2.4% )	0 ( 0.0% )	44 ( 53.7% )

Table 465. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sugar concentration/flower (% Brix)	53.66%	53.66%	null	1

Continuous Data Distribution

Figure 516. Distribution of values in the column.

Outliers

Figure 517. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 518. Visualization of completeness of the data in the column.

Uniqueness

Figure 519. Visualization of uniqueness of the data in the column.

Column: Sugar concentration/flower (µg)

Table 466. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sugar concentration/flower (µg)
Description
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 467. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sugar concentration/flower (µg)	1 - 4	280.4	0	11	62	175	3,305	82	63 ( 76.8% )	1 ( 1.2% )	0 ( 0.0% )	20 ( 24.4% )

Table 468. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sugar concentration/flower (µg)	23.17%	24.39%	null	9

Continuous Data Distribution

Figure 520. Distribution of values in the column.

Outliers

Figure 521. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 522. Visualization of completeness of the data in the column.

Uniqueness

Figure 523. Visualization of uniqueness of the data in the column.

Column: Notes

Table 469. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Notes
Description
Data type	String
Descriptor	Text [UID:0.0.TEXTA315]
Descriptor description	In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit	n/a

Table 470. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Notes	0 - 213	n/a		n/a	n/a	n/a	from each fl…	82	60 ( 73.2% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 14.6% )

Table 471. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Notes	26.83%	14.63%	null	Ask Adam: same number of samples for pollen and nectar quantifications?

Completeness

Figure 524. Visualization of completeness of the data in the column.

Uniqueness

Figure 525. Visualization of uniqueness of the data in the column.