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Dataset Report

Unique identifier:	MUSTB76.0.0
Title:	MUST-B
Long title:	EU efforts towards the development of a holistic approach for the risk assessment on Multiple Stressors in Bees
Status:	Quality Validated
Current Version:	v. 1.0
Published:	2023-12-06
Reviewed by:
Citation proposal:	European Food Safety Authority 2023 Report of dataset MUST-B, v. 1.0 [MUSTB76.0.0]. EU Pollinator Hub. [2025-05-09] 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

Under evaluation

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 2023-12-06.

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	2023-12-06 00:12:00	Initial release.	n/a

Abbreviations

No abbreviations.

Executive summary

Data overview:

n/a

Data value:

n/a

Data description:

n/a

interactions.single.section-about.data-overview-application:

n/a

Unresolved issues:

n/a

Introduction

n/a

Material and methods

Data acquisition

n/a

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	euph_000012_mustb_table_01_sites_coord.csv	CSV - Comma seperated values	Yes	No	2023-12-07 16:12:56	28	419.00 B
2	euph_000012_mustb_table_02_polygons_coord.csv	CSV - Comma seperated values	Yes	No	2023-12-07 16:12:18	1,812	30.04 KiB
3	euph_000012_mustb_table_table_i_pesticide_application.csv	CSV - Comma seperated values	Yes	No	2023-12-07 16:12:53	36	919.00 B
4	euph_000012_mustb_table_table_ii_resource_providing_unit_coord.csv	CSV - Comma seperated values	Yes	No	2023-12-07 16:12:45	109,856	958.11 KiB
5	euph_000012_mustb_table_table_iii_hives.csv	CSV - Comma seperated values	Yes	No	2023-12-07 16:12:10	800	9.36 KiB
6	euph_000012_mustb_table_table_iv_colony_management.csv	CSV - Comma seperated values	Yes	No	2023-12-07 16:12:36	24,934	276.20 KiB
7	euph_000012_mustb_table_table_v_colony_inspection.csv	CSV - Comma seperated values	Yes	No	2023-12-07 16:12:12	6,975,424	58.20 MiB
8	euph_000012_mustb_table_table_vi_ssd2.csv	CSV - Comma seperated values	Yes	No	2023-12-07 16:12:32	80,023	850.27 KiB
9	euph_000012_mustb_table_table_vii_observation_colony.csv	CSV - Comma seperated values	Yes	No	2023-12-07 16:12:57	10,766	79.38 KiB
10	Dataset00012_mustb_static.pdf	Miscellaneous	No	Yes	2024-02-07 01:02:59	n/a	1.26 MiB
11	Dataset00012_mustb_interactive.html	Miscellaneous	No	Yes	2024-02-07 01:02:57	n/a	4.61 MiB

Data preparation

n/a

Data validation

n/a

Data analysis

n/a

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	01_sites_coord	Data in this table contains general information about the sites where the data collection took place.
2	02_polygons_coord	Data in this table contains general information about the polygons where the botanical survey took place.
3	table_i_pesticide_application	Data in this table contains information on pesticide applications included in the survey design.
4	table_ii_resource_providing_unit_coord	Data in this table contains results of the botanical survey in the area surrounding the study sites.
5	table_iii_hives	Data in this table contains the master list of all hives/colonies included in the study.
6	table_iv_colony_management	Data in this table contains annotations made by beekeepers who maintained the hives for the duration of the study. It…
7	table_v_colony_inspection	Data in this table contains information obtained during the fortnightly inspections.
8	table_vi_ssd2	Data in this table contains laboratory results from the study. It is used for reporting laboratory tests for bee infectious…
9	table_vii_observation_colony	Data in this table contains information obtained from the observation colony in order to determine foraging locations based on the…

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

Parameter	Content
interactions.single.uid	MUSTB76.0.0
Title	MUST-B
Long title	EU efforts towards the development of a holistic approach for the risk assessment on Multiple Stressors in Bees
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/MUSTB76.0.0
interactions.single.section-details.licence	CC BY 4.0
DOI	https://doi.org/10.2903/sp.efsa.2021.EN-6695
Created	2023-12-07
Published	2023-12-06
Contact	n/a
Keywords	Apis mellifera, Denmark, Nosema, Portugal, Varroa, colony development, floral resources, pesticides, pollen composition
Data collection years	2019-2020
Regions, the data was collected in	Danmark, Portugal
Abstract	This dataset contains data from the project “Research project on field data collection for honey bee colony model evaluation”. Field data collection was outsourced by ESFA to public research organisations and carried out in 6 experimental apiaries in Denmark and Portugal, with the main field observations being conducted in 2019 and 2020. Climate variables were recorded continuously, and availability of floral resources was mapped regularly in the landscapes surrounding each apiary (within an area of 1.5 km radius). Adult bee population, brood and provision were assessed approximately every three weeks in experimental colonies. Furthermore, the weight of colonies was logged continuously during the field seasons by automatic hive scales. At four sites, foraging activity was monitored continuously in 1-2 colonies in 2019 and 2020. Spatial foraging was decoded from honey bee waggle dances observed once per month in four apiaries, at the same time as floral mapping. Finally, samples for analysis of diseases (varroa, Nosema and viruses), pesticide residues and botanical composition of pollen were collected. All data were organized in the present relational database.

Table 5. Standardised metadata of the data provider European Food Safety Authority. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Name	European Food Safety Authority
Url
Acronym	EFSA
IRI	https://app.pollinatorhub.eu/data-providers/efsa
Contact	n/a
Description	The European Food Safety Authority (EFSA) is an agency of the European Union (EU) that provides independent scientific advice to policy makers and carries out risk assessment functions. It covers the following topics: animal health and welfare, antimicrobial resistance, chemical contaminants in food and feed, foodborne zoonotic diseases, nutrition, pesticides and qualified presumption of safety.

Tables

01_sites_coord

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

Parameter	Content
Unique identifier	MUSTB76.STSCR130.0
Name	01_sites_coord
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/MUSTB76.STSCR130.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table contains general information about the sites where the data collection took place.

Data in this table contains general information about the sites where the data collection took place.

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
siteNo	Unique identifier of the site.	Integer number	Integer [0.0.NTGER313]	n/a
siteName	Name of the site.	String	Text [0.0.TEXTA315]	n/a
country	Country where the site is located.	String	Text [0.0.TEXTA315]	n/a
UTMCoordinates	Coordinates of the site in UTM format.	String	Text [0.0.TEXTA315]	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
siteNo	1 - 3	51.6	1	2	4	6	340	7	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 100.0% )
siteName	6 - 15	n/a	Flakkebjerg	n/a	n/a	n/a	Serra da Lou…	7	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 100.0% )
country	2 - 2	n/a	DK	n/a	n/a	n/a	PT	7	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 28.6% )
UTMCoordinates	19 - 31	n/a	29 N 564475…	n/a	n/a	n/a	32 N 651424…	7	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 100.0% )

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
siteNo	100.00%	100.00%	1	1
siteName	100.00%	100.00%	Foulum	Foulum
country	100.00%	28.57%	DK	PT
UTMCoordinates	100.00%	100.00%	32 N 535727.42082 6260998.83420	32 N 535727.42082 6260998.83420

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

02_polygons_coord

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

Parameter	Content
Unique identifier	MUSTB76.PLYGN131.0
Name	02_polygons_coord
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/MUSTB76.PLYGN131.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table contains general information about the polygons where the botanical survey took place.

Data in this table contains general information about the polygons where the botanical survey took place.

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
siteNo	Identifier for the site.	Integer number	Integer [0.0.NTGER313]	n/a
UniquePolyID	Unique identifier of the polygon.	String	Text [0.0.TEXTA315]	n/a
Area	Size of the polygon in square metres.	Integer number	Integer [0.0.NTGER313]	n/a
UTMCoordinatesOfCentroid	Coordinates of the polygon centroid in UTM format.	String	Text [0.0.TEXTA315]	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
siteNo	1 - 3	12.3	1	3	3	5	340	453	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 1.5% )
UniquePolyID	8 - 22	n/a	DKFlak43	n/a	n/a	n/a	PTserr999627…	453	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	453 ( 100.0% )
Area	2 - 8	179,889.5	14	341	1,809	22,287.5	24,890,039	453	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	410 ( 90.5% )
UTMCoordinatesOfCentroid	19 - 19	n/a	29 N 559687…	n/a	n/a	n/a	32 N 652553…	453	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	453 ( 100.0% )

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
siteNo	100.00%	1.55%	3	340
UniquePolyID	100.00%	100.00%	DKflak01a052019_746567	DKflak01a052019_746567
Area	100.00%	90.51%	193	1600
UTMCoordinatesOfCentroid	100.00%	100.00%	32 N 652068 6133970	32 N 652068 6133970

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

table_i_pesticide_application

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

Parameter	Content
Unique identifier	MUSTB76.TBLPS132.0
Name	table_i_pesticide_application
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/MUSTB76.TBLPS132.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table contains information on pesticide applications included in the survey design.

Data in this table contains information on pesticide applications included in the survey design.

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
dropletSize	Droplet size microns.	String	Text [0.0.TEXTA315]	n/a
nBar	Nozzle pressure in bar.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
boomHeight	Boom height in metres.	Decimal number	DecimalNumber [0.0.DCMLN314]	m
boomWidth	Boom width in metres.	Integer number	Integer [0.0.NTGER313]	m
formulation	CIPAC formulation types.	String	Text [0.0.TEXTA315]	n/a
volume	Volume of water litres/hectare for spray applications.	Integer number	Integer [0.0.NTGER313]	n/a
doseRate	Actual dose rate for the product.	Integer number	Integer [0.0.NTGER313]	n/a
amount	Quantity of product used per hectare in kilograms.	Decimal number	DecimalNumber [0.0.DCMLN314]	kg ha-1
sprayRound	Numerical code for products within one spray tank.	Boolean	Boolean [0.0.BLEAN316]	n/a
treatedArea	Area treated with product in hectares in the spray round.	Integer number	Integer [0.0.NTGER313]	ha
startTime	Start time.	String	Text [0.0.TEXTA315]	n/a
hours	Number hours spraying.	Integer number	Integer [0.0.NTGER313]	h
icBuffer	Record the width (in metres) of any in-crop buffer.	Integer number	Integer [0.0.NTGER313]	n/a
applicationId	Unique identifier for each pesticide application.	String	Text [0.0.TEXTA315]	n/a
siteNo	Reference number for site included in the survey.	Boolean	Boolean [0.0.BLEAN316]	n/a
fieldno	Reference number for field.	Boolean	Boolean [0.0.BLEAN316]	n/a
cropCode	EFSA DCF cataloque code for crop grown on the farm.	String	Text [0.0.TEXTA315]	n/a
cropCode_desc	Content of column efsa_dcf_catalogue.mtx_term.termExtendedName.	String	Text [0.0.TEXTA315]	n/a
cropText	Additional information on crop.	String	Text [0.0.TEXTA315]	n/a
fieldArea	Area of field in hectares.	Integer number	Integer [0.0.NTGER313]	ha
site_slope	Slope of the field.	Integer number	Integer [0.0.NTGER313]	n/a
usageY	Year of application.	Integer number	Integer [0.0.NTGER313]	n/a
usageM	Month of application.	Integer number	Integer [0.0.NTGER313]	n/a
usageD	Day of application.	Integer number	Integer [0.0.NTGER313]	n/a
cropStage	Code to indicate crop stage.	Integer number	Integer [0.0.NTGER313]	n/a
cropHeight	Height of crop in meters.	Decimal number	DecimalNumber [0.0.DCMLN314]	m
productName	Names of plant protection product applied.	String	Text [0.0.TEXTA315]	n/a
activeSubstance	EFSA DCF catalogue code Active substance applied.	String	Text [0.0.TEXTA315]	n/a
activeSubstance_desc	Content of column efsa_dcf_catalogue.param_term.termExtendedName.	String	Text [0.0.TEXTA315]	n/a
applicationCode	Code for the method of application of the product.	String	Text [0.0.TEXTA315]	n/a
lowdrift	Brief description of any drift reduction technology used.	String	Text [0.0.TEXTA315]	n/a
speed	Forward speed of sprayer (km h-1).	Integer number	Integer [0.0.NTGER313]	km h-1
nozzleType	Nozzle type.	String	Text [0.0.TEXTA315]	n/a
nnozzles	The number of nozzles in total used to deliver the dose.	Integer number	Integer [0.0.NTGER313]	no.
nozzleSpacing	Nozzle spacing.	Integer number	Integer [0.0.NTGER313]	n/a
nozzleOrientation	Nozzle angle upwards/downwards.	Integer number	Integer [0.0.NTGER313]	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
dropletSize	6 - 6	n/a	Coarse	n/a	n/a	n/a	Coarse	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
nBar	12 - 12	3.30000000000	3.3000000000	n/a	n/a	n/a	3.3000000000	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
boomHeight	12 - 12	1.60000000000	1.6000000000	n/a	n/a	n/a	1.6000000000	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
boomWidth	2 - 2	27.0	27	n/a	n/a	n/a	27	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
formulation	2 - 2	n/a	WG	n/a	n/a	n/a	WG	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
volume	3 - 3	300.0	300	n/a	n/a	n/a	300	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
doseRate	1 - 1	3.0	3	n/a	n/a	n/a	3	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
amount	12 - 12	0.90000000000	0.9000000000	n/a	n/a	n/a	0.9000000000	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
sprayRound	1 - 1	n/a	1	n/a	n/a	n/a	1	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
treatedArea	1 - 1	6.0	6	n/a	n/a	n/a	6	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
startTime	5 - 5	n/a	09:30	n/a	n/a	n/a	09:30	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
hours	1 - 1	1.0	1	n/a	n/a	n/a	1	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
icBuffer	2 - 2	27.0	27	n/a	n/a	n/a	27	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
applicationId	6 - 6	n/a	PA8349	n/a	n/a	n/a	PA8349	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
siteNo	1 - 1	n/a	1	n/a	n/a	n/a	1	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
fieldno	1 - 1	n/a	1	n/a	n/a	n/a	1	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
cropCode	5 - 5	n/a	A05SA	n/a	n/a	n/a	A05SA	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
cropCode_desc	25 - 25	n/a	Rape for see…	n/a	n/a	n/a	Rape for see…	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
cropText	9 - 9	n/a	flowering	n/a	n/a	n/a	flowering	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
fieldArea	1 - 1	6.0	6	n/a	n/a	n/a	6	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
site_slope	1 - 1	0.0	0	n/a	n/a	n/a	0	1	0 ( 0.0% )	1 ( 100.0% )	0 ( 0.0% )	1 ( 100.0% )
usageY	4 - 4	2,019.0	2,019	n/a	n/a	n/a	2,019	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
usageM	1 - 1	4.0	4	n/a	n/a	n/a	4	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
usageD	2 - 2	29.0	29	n/a	n/a	n/a	29	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
cropStage	2 - 2	63.0	63	n/a	n/a	n/a	63	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
cropHeight	12 - 12	1.10000000000	1.1000000000	n/a	n/a	n/a	1.1000000000	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
productName	9 - 9	n/a	Pirimor G	n/a	n/a	n/a	Pirimor G	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
activeSubstance	5 - 5	n/a	RF-03	n/a	n/a	n/a	RF-03	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
activeSubstance_desc	10 - 10	n/a	Pirimicarb	n/a	n/a	n/a	Pirimicarb	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
applicationCode	2 - 2	n/a	HD	n/a	n/a	n/a	HD	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
lowdrift	91 - 91	n/a	twin flat sp…	n/a	n/a	n/a	twin flat sp…	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
speed	1 - 1	5.0	5	n/a	n/a	n/a	5	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
nozzleType	8 - 8	n/a	Twin jet	n/a	n/a	n/a	Twin jet	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
nnozzles	2 - 2	54.0	54	n/a	n/a	n/a	54	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
nozzleSpacing	2 - 2	50.0	50	n/a	n/a	n/a	50	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )
nozzleOrientation	1 - 1	0.0	0	n/a	n/a	n/a	0	1	0 ( 0.0% )	1 ( 100.0% )	0 ( 0.0% )	1 ( 100.0% )

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
dropletSize	100.00%	100.00%	Coarse	Coarse
nBar	100.00%	100.00%	3.3000000000	3.3000000000
boomHeight	100.00%	100.00%	1.6000000000	1.6000000000
boomWidth	100.00%	100.00%	27	27
formulation	100.00%	100.00%	WG	WG
volume	100.00%	100.00%	300	300
doseRate	100.00%	100.00%	3	3
amount	100.00%	100.00%	0.9000000000	0.9000000000
sprayRound	100.00%	100.00%	1	1
treatedArea	100.00%	100.00%	6	6
startTime	100.00%	100.00%	09:30	09:30
hours	100.00%	100.00%	1	1
icBuffer	100.00%	100.00%	27	27
applicationId	100.00%	100.00%	PA8349	PA8349
siteNo	100.00%	100.00%	1	1
fieldno	100.00%	100.00%	1	1
cropCode	100.00%	100.00%	A05SA	A05SA
cropCode_desc	100.00%	100.00%	Rape for seeds (as plant)	Rape for seeds (as plant)
cropText	100.00%	100.00%	flowering	flowering
fieldArea	100.00%	100.00%	6	6
site_slope	100.00%	100.00%	0	0
usageY	100.00%	100.00%	2019	2019
usageM	100.00%	100.00%	4	4
usageD	100.00%	100.00%	29	29
cropStage	100.00%	100.00%	63	63
cropHeight	100.00%	100.00%	1.1000000000	1.1000000000
productName	100.00%	100.00%	Pirimor G	Pirimor G
activeSubstance	100.00%	100.00%	RF-03	RF-03
activeSubstance_desc	100.00%	100.00%	Pirimicarb	Pirimicarb
applicationCode	100.00%	100.00%	HD	HD
lowdrift	100.00%	100.00%	twin flat spray air-injector compact nozzles IDKT 120-03, low wind, coarse droplets, buffer	twin flat spray air-injector compact nozzles IDKT 120-03, low wind, coarse droplets, buffer
speed	100.00%	100.00%	5	5
nozzleType	100.00%	100.00%	Twin jet	Twin jet
nnozzles	100.00%	100.00%	54	54
nozzleSpacing	100.00%	100.00%	50	50
nozzleOrientation	100.00%	100.00%	0	0

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

table_ii_resource_providing_unit_coord

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

Parameter	Content
Unique identifier	MUSTB76.TBLRS133.0
Name	table_ii_resource_providing_unit_coord
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/MUSTB76.TBLRS133.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table contains results of the botanical survey in the area surrounding the study sites.

Data in this table contains results of the botanical survey in the area surrounding the study sites.

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
resId	Identifier for the report.	String	Text [0.0.TEXTA315]	n/a
siteNo	Identifier for the site.	Integer number	Integer [0.0.NTGER313]	n/a
fieldNo	Identifier for the field if the observation was taken in one of the treated fields.	Undefined	[]	n/a
polygonId	Identifier of the polygon as reported in the polygons table.	String	Text [0.0.TEXTA315]	n/a
UTMCoordinates	Coordinates of the instrument or the polygon in UTM format.	String	Text [0.0.TEXTA315]	n/a
sampY	Year of observation.	Integer number	Integer [0.0.NTGER313]	n/a
sampM	Month of observation.	Integer number	Integer [0.0.NTGER313]	n/a
sampD	Day of observation.	Integer number	Integer [0.0.NTGER313]	n/a
sampMatCode	Plant species identified at the location.	String	Text [0.0.TEXTA315]	n/a
plantType	Indicate whether the plant is a crop or a weed. One of the following terms: Crop, Weed, Wild plant	String	Text [0.0.TEXTA315]	n/a
vegetativeType	Vegetative type of the observed plant. One of the following terms: Herb, Shrub, Sub-shrub, Tree	String	Text [0.0.TEXTA315]	n/a
flowering	Indicate if flowers were observed on the plant. One of the following terms: Y (yes), N (no)	String	Text [0.0.TEXTA315]	n/a
abundanceClass	Classification of abundance of plant species at site inspected. One of the following terms: For shrub and tree 3 = large and abundant, 2 = of intermediate size or small but abundant, 1 = small and not abundant; For herb and sub-shrub 3 = covers at least 75% of the area and flowers are abundant, 2 = covers 25-75% of the area and flowers are abundant, 1 = covers less than 25% and/or flowers are not abundant.	Integer number	Integer [0.0.NTGER313]	n/a
pollen	Pollen sample taken. One of the following terms: Y (yes), N (no)	String	Text [0.0.TEXTA315]	n/a
nectar	Nectar sample taken. One of the following terms: Y (yes), N (no)	String	Text [0.0.TEXTA315]	n/a
anMetText	Method of identification. One of the following terms: Visual, Morphological key, DNA analysis	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
resId	5 - 8	n/a	RPUL10	n/a	n/a	n/a	RPUL999	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6,866 ( 100.0% )
siteNo	1 - 3	6.0	1	5	5	6	340	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.1% )
fieldNo	0 - 0	n/a		n/a	n/a	n/a		6,866	6,866 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
polygonId	8 - 22	n/a	DKFlak43	n/a	n/a	n/a	PTserr999627…	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	281 ( 4.1% )
UTMCoordinates	19 - 19	n/a	29 N 559757…	n/a	n/a	n/a	32 N 652464…	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	386 ( 5.6% )
sampY	4 - 4	2,019.4	2,018	2,019	2,019	2,020	2,020	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )
sampM	1 - 2	5.4	3	4	5	6	10	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	8 ( 0.1% )
sampD	1 - 2	15.2	1	9	16	19	30	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	28 ( 0.4% )
sampMatCode	8 - 43	n/a	Acacia dealb…	n/a	n/a	n/a	Zantedeschia…	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	381 ( 5.5% )
plantType	4 - 10	n/a	Crop	n/a	n/a	n/a	Wild plant	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )
vegetativeType	4 - 9	n/a	Herb	n/a	n/a	n/a	Tree	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 0.1% )
flowering	1 - 1	n/a	Y	n/a	n/a	n/a	Y	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
abundanceClass	1 - 1	1.1	1	1	1	1	3	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )
pollen	1 - 1	n/a	N	n/a	n/a	n/a	N	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
nectar	1 - 1	n/a	N	n/a	n/a	n/a	N	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
anMetText	6 - 6	n/a	Visual	n/a	n/a	n/a	Visual	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

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
resId	100.00%	100.00%	RPUL10	RPUL10
siteNo	100.00%	0.10%	6	340
fieldNo	0.00%	0.01%	n/a	n/a
polygonId	100.00%	4.09%	PTserr947813812	DKflak03b052019_846765
UTMCoordinates	100.00%	5.62%	29 N 658694 4415091	32 N 650788 6135172
sampY	100.00%	0.04%	2019	2018
sampM	100.00%	0.12%	5	10
sampD	100.00%	0.41%	16	11
sampMatCode	100.00%	5.55%	Erica cinerea	Petrorhagia nanteuilii
plantType	100.00%	0.04%	Wild plant	Weed
vegetativeType	100.00%	0.06%	Herb	Tree
flowering	100.00%	0.01%	Y	Y
abundanceClass	100.00%	0.04%	1	3
pollen	100.00%	0.01%	N	N
nectar	100.00%	0.01%	N	N
anMetText	100.00%	0.01%	Visual	Visual

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

table_iii_hives

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

Parameter	Content
Unique identifier	MUSTB76.TBLHV134.0
Name	table_iii_hives
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/MUSTB76.TBLHV134.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table contains the master list of all hives/colonies included in the study.

Data in this table contains the master list of all hives/colonies included in the study.

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
hiveId	Unique identifier of the hive.	String	Text [0.0.TEXTA315]	n/a
beeKeeperID	Unique identifier for diary keeper.	String	Text [0.0.TEXTA315]	n/a
siteNo	Identifier for the site.	Integer number	Integer [0.0.NTGER313]	n/a
hiveNo	Identifier for the hive/colony.	Integer number	Integer [0.0.NTGER313]	n/a
sampCountry	Country where the sample was taken for laboratory testing (ISO 3166-1-alpha-2).	String	Text [0.0.TEXTA315]	n/a
UTMCoordinates	Coordinates of the hive in UTM format.	String	Text [0.0.TEXTA315]	n/a
hiveType	Type of hive. One of the following terms: Dadant, Langstroth, Norwegian	String	Text [0.0.TEXTA315]	n/a
subSpecies	Bee subspecies. One of the following terms: Apis mellifera carnica, Apis mellifera iberiensis, Apis mellifera mellifera x buckfast, Apis mellifera mellifera	String	Text [0.0.TEXTA315]	n/a
observationHive	Indicate if the hive is the observation hive or an experimental hive. One of the following terms: Y (yes), N (no)	String	Text [0.0.TEXTA315]	n/a
colonySize	Colony size on entry into the survey.	Undefined	[]	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
hiveId	6 - 9	n/a	DK_1_1	n/a	n/a	n/a	PT_6_9	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	80 ( 100.0% )
beeKeeperID	32 - 32	n/a	5BC8557A401F…	n/a	n/a	n/a	ECD273460646…	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 3.8% )
siteNo	1 - 3	24.9	1	2.25	4	6	340	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 8.8% )
hiveNo	1 - 2	7.7	1	4	7	10.75	20	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	20 ( 25.0% )
sampCountry	2 - 2	n/a	DK	n/a	n/a	n/a	PT	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.5% )
UTMCoordinates	1 - 1	n/a	*	n/a	n/a	n/a	*	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.3% )
hiveType	9 - 10	n/a	Langstroth	n/a	n/a	n/a	Norwegian	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.5% )
subSpecies	25 - 35	n/a	Apis mellife…	n/a	n/a	n/a	Apis mellife…	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.5% )
observationHive	1 - 1	n/a	N	n/a	n/a	n/a	Y	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.5% )
colonySize	0 - 0	n/a		n/a	n/a	n/a		80	80 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.3% )

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
hiveId	100.00%	100.00%	DK_1_1	DK_1_1
beeKeeperID	100.00%	3.75%	89D81AA2C010D67185C9217788CBCCF6	5BC8557A401F84B44F1BF03B71F3CF7C
siteNo	100.00%	8.75%	6	340
hiveNo	100.00%	25.00%	1	16
sampCountry	100.00%	2.50%	DK	PT
UTMCoordinates	100.00%	1.25%	*	*
hiveType	100.00%	2.50%	Norwegian	Langstroth
subSpecies	100.00%	2.50%	Apis mellifera mellifera x buckfast	Apis mellifera iberiensis
observationHive	100.00%	2.50%	N	Y
colonySize	0.00%	1.25%	n/a	n/a

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

table_iv_colony_management

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

Parameter	Content
Unique identifier	MUSTB76.TBLVC135.0
Name	table_iv_colony_management
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/MUSTB76.TBLVC135.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table contains annotations made by beekeepers who maintained the hives for the duration of the study. It is designed to be a diary which could be completed whenever the hive was visited. Inputs, e.g. supplementary feed or Varroa treatment, and outputs, e.g. honey collection or removal of bees, should have been reported. This diary could also be used to record the general observations of the beekeeper.

Data in this table contains annotations made by beekeepers who maintained the hives for the duration of the study. It is designed to be a diary which could be completed whenever the hive was visited. Inputs, e.g. supplementary feed or Varroa treatment, and outputs, e.g. honey collection or removal of bees, should have been reported. This diary could also be used to record the general observations of the beekeeper.

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
eventId	Identifier for the reported event.	String	Text [0.0.TEXTA315]	n/a
beeKeeperID	Identifier for diary keeper.	String	Text [0.0.TEXTA315]	n/a
siteNo	Identifier for the site.	Integer number	Integer [0.0.NTGER313]	n/a
hiveNo	Identifier for the hive.	Integer number	Integer [0.0.NTGER313]	n/a
eventY	Year of event.	Integer number	Integer [0.0.NTGER313]	n/a
eventM	Month of event.	Integer number	Integer [0.0.NTGER313]	n/a
eventD	Day of event.	Integer number	Integer [0.0.NTGER313]	n/a
eventType	Classification of type of event. One of the following terms: CLINICAL SIGNS / INPUT / INSPECTION / OTHER / OUTPUT / QUEEN LOSS / SAMPLE / SWARM	String	Text [0.0.TEXTA315]	n/a
inoutType	Type of material added of removed from hive (e.g. Varroa treatment, supplementary feeding, altering bee population). Must be completed if INPUT or OUTPUT is selected in eventType. One of the following terms: Amitraz / Brewers yeast / Bromopropylate / Brood comb / Camphor / Coumaphos / Cymiazole / Empty frame / Eucalyptol / Fluvalinate / Food comb / Formic acid / Foundation comb / Honey / Lactic acid / Live bees / Menthol / No input-output / Oxalic acid / Pollen / Queen excluder / Soybean flour / Sucrose / Super + 10 frames / Thymol / Umethrin	String	Text [0.0.TEXTA315]	n/a
inoutQuantity	Amount of material added to or taken from.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
inoutUnit	Units for quantity reported.	String	Text [0.0.TEXTA315]	n/a
inoutUnit_desc	Content of column efsa_dcf_catalogue.unit_term.termExtendedName.	String	Text [0.0.TEXTA315]	n/a
clinicalSigns	Categorise the type of clinical signs observed if CLINICAL SIGNS is reported. One of the following terms: Black queen larvae / Black shiny honey bees / Brood and honey destruction / Cannibalism on larvae or on pupae / Cell cappings opened / Crawling honey bees, bees clinging to the grass / Dead bees in hive bottom / Dead colony / Dead honey bees in front of the hive / Dead bees in hive bottom / Dead honey bees within cells with the heads directed to the bottom of the cell (starvation) / Dead honey bees within cells with the heads sticking out the cells / Doubtful clinical signs / Galleries inside the frames / Honey bees with deformed and-or atrophied wings / Impeded/Occupied flight board / Larvae with a yellowish to brown colour / Mummified larvae / No clinical signs / Phoretic beetles-unusual larvae or eggs / Phoretic varroa / Queen problems / Ropy larvae (match test positive) / Slumped larvae / Specific odor of AFB / Spotty brood pattern / Suspect atypical mite / Traces of diarrhea / Trembling honey bees / Unusual honey bee mortality according to bee inspector	String	Text [0.0.TEXTA315]	n/a
eventDescription	Details of reported event.	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
eventId	3 - 6	n/a	CM10	n/a	n/a	n/a	CM999	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1,781 ( 100.0% )
beeKeeperID	32 - 32	n/a	5BC8557A401F…	n/a	n/a	n/a	EAC7A9C9E5F6…	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.2% )
siteNo	1 - 3	3.3	1	2	2	5	340	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )
hiveNo	1 - 2	5.2	1	2	5	7	20	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	20 ( 1.1% )
eventY	4 - 4	2,019.5	2,019	2,019	2,020	2,020	2,021	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.2% )
eventM	1 - 2	6.7	1	5	7	8	12	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 0.7% )
eventD	1 - 2	16.4	1	9	16	24	31	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	31 ( 1.7% )
eventType	5 - 14	n/a	CLINICAL SIG…	n/a	n/a	n/a	SWARM	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )
inoutType	0 - 17	n/a	Amitraz	n/a	n/a	n/a	Thymol	1,781	807 ( 45.3% )	0 ( 0.0% )	0 ( 0.0% )	14 ( 0.8% )
inoutQuantity	12 - 14	7.73217522000	0.0000000000	1	2.5	6	300.0000000000	1,781	802 ( 45.0% )	1 ( 0.1% )	0 ( 0.0% )	259 ( 14.5% )
inoutUnit	0 - 5	n/a	G090A	n/a	n/a	n/a	G294A	1,781	802 ( 45.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.3% )
inoutUnit_desc	1 - 17	n/a	.	n/a	n/a	n/a	hiveframe	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.3% )
clinicalSigns	11 - 91	n/a	Black shiny…	n/a	n/a	n/a	Traces of di…	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	19 ( 1.1% )
eventDescription	0 - 86	n/a	"3 frames ad…	n/a	n/a	n/a	very small f…	1,781	251 ( 14.1% )	0 ( 0.0% )	0 ( 0.0% )	433 ( 24.3% )

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
eventId	100.00%	100.00%	CM10	CM10
beeKeeperID	100.00%	0.17%	5BC8557A401F84B44F1BF03B71F3CF7C	EAC7A9C9E5F667F3D1071B4DFBA72CF8
siteNo	100.00%	0.39%	2	340
hiveNo	100.00%	1.12%	1	20
eventY	100.00%	0.17%	2020	2021
eventM	100.00%	0.67%	8	12
eventD	100.00%	1.74%	21	5
eventType	100.00%	0.39%	INPUT	SWARM
inoutType	54.69%	0.79%	n/a	Empty frame
inoutQuantity	54.97%	14.54%	n/a	7.3500000000
inoutUnit	54.97%	0.34%	n/a	G090A
inoutUnit_desc	100.00%	0.34%	.	Square centimetre
clinicalSigns	100.00%	1.07%	No clinical signs	Cell cappings opened
eventDescription	85.91%	24.31%	n/a	Removed feeder

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

table_v_colony_inspection

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

Parameter	Content
Unique identifier	MUSTB76.TBLVC136.0
Name	table_v_colony_inspection
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/MUSTB76.TBLVC136.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table contains information obtained during the fortnightly inspections.

Data in this table contains information obtained during the fortnightly inspections.

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
resId	Identification code of an analytical result (a row of the data table) in the transmitted file.	String	Text [0.0.TEXTA315]	n/a
siteNo	Identifier for the site.	Integer number	Integer [0.0.NTGER313]	n/a
hiveNo	Identifier for the hive.	Integer number	Integer [0.0.NTGER313]	n/a
frameNo	Identifier for the frame to be used for comb observations.	String	Text [0.0.TEXTA315]	n/a
sampY	Year of visit.	Integer number	Integer [0.0.NTGER313]	n/a
sampM	Month of visit.	Integer number	Integer [0.0.NTGER313]	n/a
sampD	Day of visit.	Integer number	Integer [0.0.NTGER313]	n/a
sampT	Time of visit.	Integer number	Integer [0.0.NTGER313]	n/a
paramText	Observation made at the hive. One of the following objects: Colony weight / Number of adult bees / Number of beebread cells / Number of cells honey / Number of cells nectar / Number of departing foragers / Number of eggs / Number of larvae / Number of other cells / Number of returning foragers / Number of worker brood cells	String	Text [0.0.TEXTA315]	n/a
anMethText	Methods used to take the observations listed above. One of the following objects: Automatic recording / Comb inspectionVideo and image analysis	String	Text [0.0.TEXTA315]	n/a
resVal	Quantitative assessment of the observation. This value must be complete for all quantative assessments e.g. number of the different types of bees.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
resUnit	Unit of measurement for the values reported. This must be reported for all quantative assessments.	String	Text [0.0.TEXTA315]	n/a
resUnit_desc	Content of column in efsa dcf catalogue: unit_term.termExtendedName	String	Text [0.0.TEXTA315]	n/a
resValUncert	Indicate the expanded uncertainty value (usually 95% confidence interval) associated with the measurement expressed in the unit reported in the field 'Result unit'.	Undefined	[]	n/a
resValUncertSD	Standard deviation for the uncertainty of measurement.	Undefined	[]	n/a
resQualValue	This value must be completed for the qualitative clinical sign observations. For each sign absence or presence should be indicated.	Undefined	[]	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
resId	3 - 8	n/a	CA1	n/a	n/a	n/a	NAB999	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	435,964 ( 100.0% )
siteNo	1 - 3	17.5	1	2	4	6	340	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.0% )
hiveNo	1 - 2	5.5	1	2	4	8	22	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 0.0% )
frameNo	0 - 9	n/a	59a	n/a	n/a	n/a	frame 9B	435,964	284,722 ( 65.3% )	0 ( 0.0% )	0 ( 0.0% )	104 ( 0.0% )
sampY	4 - 4	2,019.5	1,970	2,019	2,019	2,020	2,020	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )
sampM	1 - 2	6.7	1	5	7	8	12	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 0.0% )
sampD	1 - 2	16.0	1	9	16	24	31	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	31 ( 0.0% )
sampT	1 - 2	11.8	0	8	12	16	23	435,964	0 ( 0.0% )	11,723 ( 2.7% )	0 ( 0.0% )	24 ( 0.0% )
paramText	13 - 28	n/a	Colony weigh…	n/a	n/a	n/a	Number of wo…	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	11 ( 0.0% )
anMethText	15 - 24	n/a	Automatic re…	n/a	n/a	n/a	Video and im…	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )
resVal	12 - 16	251.61278683000	0.0000000000	26.8	37.8	73	12,438.0000000000	435,964	0 ( 0.0% )	32,328 ( 7.4% )	0 ( 0.0% )	5,454 ( 1.3% )
resUnit	5 - 5	n/a	G167A	n/a	n/a	n/a	G293A	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )
resUnit_desc	6 - 9	n/a	Kilogram	n/a	n/a	n/a	comb cell	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )
resValUncert	0 - 0	n/a		n/a	n/a	n/a		435,964	435,964 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
resValUncertSD	0 - 0	n/a		n/a	n/a	n/a		435,964	435,964 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
resQualValue	0 - 0	n/a		n/a	n/a	n/a		435,964	435,964 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

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
resId	100.00%	100.00%	CA1	CA1
siteNo	100.00%	0.00%	6	340
hiveNo	100.00%	0.00%	2	10
frameNo	34.69%	0.02%	n/a	59a
sampY	100.00%	0.00%	2019	1970
sampM	100.00%	0.00%	6	1
sampD	100.00%	0.01%	29	31
sampT	100.00%	0.01%	13	4
paramText	100.00%	0.00%	Colony weight	Number of adult bees
anMethText	100.00%	0.00%	Automatic recording	Comb inspection
resVal	100.00%	1.25%	0.0000000000	3164.0000000000
resUnit	100.00%	0.00%	G167A	G199A
resUnit_desc	100.00%	0.00%	Kilogram	animal
resValUncert	0.00%	0.00%	n/a	n/a
resValUncertSD	0.00%	0.00%	n/a	n/a
resQualValue	0.00%	0.00%	n/a	n/a

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

table_vi_ssd2

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

Parameter	Content
Unique identifier	MUSTB76.TBLVS137.0
Name	table_vi_ssd2
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/MUSTB76.TBLVS137.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table contains laboratory results from the study. It is used for reporting laboratory tests for bee infectious agents, chemical residues in all matrices collected during the study and for compositional analysis of pollen samples.

Data in this table contains laboratory results from the study. It is used for reporting laboratory tests for bee infectious agents, chemical residues in all matrices collected during the study and for compositional analysis of pollen samples.

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
resId	Identification code of the analytical result.	String	Text [0.0.TEXTA315]	n/a
sampUnitIds		String	Text [0.0.TEXTA315]	n/a
sampId	Identifier of the sample taken.	String	Text [0.0.TEXTA315]	n/a
sampCountry	Country where the sample was taken.	String	Text [0.0.TEXTA315]	n/a
sampY	Year of visit.	Integer number	Integer [0.0.NTGER313]	n/a
sampM	Month of visit.	Integer number	Integer [0.0.NTGER313]	n/a
sampD	Day of visit.	Integer number	Integer [0.0.NTGER313]	n/a
sampEventInfo	Time of sampling (sampT).	String	Text [0.0.TEXTA315]	n/a
sampSize	Sample size.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
sampSizeUnit	Unit in which the size/amount of the sample is expressed.	String	Text [0.0.TEXTA315]	n/a
sampSizeUnit_desc	Content of the column in the efsa dcf_catalogue: unit_term.termExtendedName	String	Text [0.0.TEXTA315]	n/a
sampMatCode	Matrix sampled.	String	Text [0.0.TEXTA315]	n/a
sampMatText	Further details on the matrix sampled.	String	Text [0.0.TEXTA315]	n/a
analysisY	Year when the analysis was completed.	Integer number	Integer [0.0.NTGER313]	n/a
analysisM	Month when the analysis was completed.	Integer number	Integer [0.0.NTGER313]	n/a
analysisD	day when the analysis was completed.	Integer number	Integer [0.0.NTGER313]	n/a
anPortSeq	Sequence number (e.g. 1, 2, 3) for samples where the analysis is replicated.	Integer number	Integer [0.0.NTGER313]	n/a
labId	Identification code of the laboratory.	String	Text [0.0.TEXTA315]	n/a
labAccred	Accreditation status of the laboratory.	String	Text [0.0.TEXTA315]	n/a
labAccred_desc	Content of column in the efsa dcf catalogue: labacc_term.termExtendedName	String	Text [0.0.TEXTA315]	n/a
paramCode	Content of column efsa_dcf_catalogue.labacc_term.termExtendedName.	String	Text [0.0.TEXTA315]	n/a
paramCode_desc	Content of column efsa_dcf_catalogue.param_term.termExtendedName.	String	Text [0.0.TEXTA315]	n/a
paramText	Plant species for pollen samples or further details on the pesticide residue, pathogen or nutrient.	String	Text [0.0.TEXTA315]	n/a
anMethRefId	Identifier of the method used in the laboratory.	String	Text [0.0.TEXTA315]	n/a
anMethCode	Analytical method used.	String	Text [0.0.TEXTA315]	n/a
anMethCode_desc	Content of column in efsa dcf catalogue: anlymd_term.termExtendedName	String	Text [0.0.TEXTA315]	n/a
anMethText	Further details on the analytical method.	String	Text [0.0.TEXTA315]	n/a
resUnit	Unit of measurement for the value in resLOD, resLOQ, resVal.	String	Text [0.0.TEXTA315]	n/a
resUnit_desc	Content of column in efsa dcf catalogue: unit_term.termExtendedName.	String	Text [0.0.TEXTA315]	n/a
resLOD	Limit of detection.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
resLOQ	Limit of quantification.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
resVal	Result of the analytical measurement.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
resValRec	Recovery value associated with the concentration measurement.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
resValRecCorr	Indicates if the result was corrected for recovery.	Boolean	Boolean [0.0.BLEAN316]	n/a
exprResType	Indicates how the result is expressed (e.g. whole weight).	String	Text [0.0.TEXTA315]	n/a
exprResType_desc	Content of column in efsa_dcf_catalogue: exprres_term.termExtendedName	String	Text [0.0.TEXTA315]	n/a
resQualValue	Indicates if the qualitative evaluation of the result is positive or negative.	String	Text [0.0.TEXTA315]	n/a
resType	Type of result.	String	Text [0.0.TEXTA315]	n/a
resType_desc	Content of column in efsa_dcf_catalogue: valtyp_term.termExtendedName	String	Text [0.0.TEXTA315]	n/a
resValUncert	Expanded uncertainty value.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
resValUncertSD	Standard deviation of the uncertainty measurement.	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
sampHoldingId	Identifier of the site (holdingId in SSD2), obtained from sampUnitIds.	String	Text [0.0.TEXTA315]	n/a
herdId	Identifier of the hive (herdId), obtained from sampUnitIds.	Integer number	Integer [0.0.NTGER313]	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
resId	4 - 7	n/a	Nos100a	n/a	n/a	n/a	Vir99	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1,861 ( 100.0% )
sampUnitIds	28 - 50	n/a	sampHoldingI…	n/a	n/a	n/a	sampHoldingI…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	74 ( 4.0% )
sampId	3 - 6	n/a	No100a	n/a	n/a	n/a	Vi99	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1,685 ( 90.5% )
sampCountry	2 - 2	n/a	DK	n/a	n/a	n/a	PT	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )
sampY	4 - 4	2,019.4	2,019	2,019	2,019	2,020	2,020	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )
sampM	1 - 2	6.3	3	4	6	8	11	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	9 ( 0.5% )
sampD	1 - 2	16.7	1	10	15	25	31	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	30 ( 1.6% )
sampEventInfo	9 - 9	n/a	com=sampT	n/a	n/a	n/a	com=sampT	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
sampSize	12 - 14	152.87382577000	1.0000000000	20	20	322	779.0000000000	1,861	348 ( 18.7% )	0 ( 0.0% )	0 ( 0.0% )	114 ( 6.1% )
sampSizeUnit	0 - 5	n/a	G148A	n/a	n/a	n/a	G297A	1,861	348 ( 18.7% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.3% )
sampSizeUnit_desc	1 - 9	n/a	.	n/a	n/a	n/a	animal	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.3% )
sampMatCode	5 - 15	n/a	A033P	n/a	n/a	n/a	A16XE#F01.A0…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )
sampMatText	3 - 19	n/a	Adult bees	n/a	n/a	n/a	Wax	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	10 ( 0.5% )
analysisY	4 - 4	2,019.5	2,019	2,019	2,020	2,020	2,020	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )
analysisM	1 - 2	9.0	1	7	10	12	12	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 0.6% )
analysisD	1 - 2	17.1	1	11	16	29	31	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	28 ( 1.5% )
anPortSeq	1 - 1	1.0	1	1	1	1	2	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )
labId	5 - 10	n/a	AU_DK	n/a	n/a	n/a	UC_PT	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 0.2% )
labAccred	5 - 5	n/a	L003A	n/a	n/a	n/a	L003A	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
labAccred_desc	4 - 4	n/a	None	n/a	n/a	n/a	None	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
paramCode	15 - 15	n/a	RF-00000019-…	n/a	n/a	n/a	RF-XXXX-XXX-…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	30 ( 1.6% )
paramCode_desc	6 - 95	n/a	2,4-Dichloro…	n/a	n/a	n/a	Varroa	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	30 ( 1.6% )
paramText	0 - 24	n/a	24-D	n/a	n/a	n/a	Vicia	1,861	1,339 ( 72.0% )	0 ( 0.0% )	0 ( 0.0% )	79 ( 4.2% )
anMethRefId	3 - 31	n/a	GC-MS/MS	n/a	n/a	n/a	Soapy water…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )
anMethCode	0 - 5	n/a	F086A	n/a	n/a	n/a	F701A	1,861	41 ( 2.2% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )
anMethCode_desc	1 - 45	n/a	.	n/a	n/a	n/a	Soapy water…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )
anMethText	0 - 31	n/a	HPLC-MS/MS	n/a	n/a	n/a	Species iden…	1,861	41 ( 2.2% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )
resUnit	0 - 5	n/a	G061A	n/a	n/a	n/a	G295A	1,861	88 ( 4.7% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.3% )
resUnit_desc	1 - 25	n/a	.	n/a	n/a	n/a	number per 1…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.3% )
resLOD	12 - 12	0.00150868000	0.0000000000	0	0	0.005	0.0050000000	1,861	709 ( 38.1% )	804 ( 43.2% )	0 ( 0.0% )	4 ( 0.2% )
resLOQ	12 - 12	0.00302083000	0.0000000000	0	0	0.01	0.0100000000	1,861	709 ( 38.1% )	804 ( 43.2% )	0 ( 0.0% )	3 ( 0.2% )
resVal	12 - 14	8.05920338000	0.0000000000	0.0955	2.5	6.55	110.0000000000	1,861	268 ( 14.4% )	252 ( 13.5% )	0 ( 0.0% )	377 ( 20.3% )
resValRec	0 - 0	n/a		n/a	n/a	n/a		1,861	1,861 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
resValRecCorr	0 - 0	n/a		n/a	n/a	n/a		1,861	1,861 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
exprResType	0 - 5	n/a	B001A	n/a	n/a	n/a	B001A	1,861	1,513 ( 81.3% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )
exprResType_desc	1 - 12	n/a	.	n/a	n/a	n/a	Whole weight	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )
resQualValue	0 - 3	n/a	NEG	n/a	n/a	n/a	POS	1,861	994 ( 53.4% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.2% )
resType	3 - 3	n/a	AWR	n/a	n/a	n/a	VAL	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.3% )
resType_desc	15 - 48	n/a	Non Detected…	n/a	n/a	n/a	Value above…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.3% )
resValUncert	0 - 0	n/a		n/a	n/a	n/a		1,861	1,861 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
resValUncertSD	0 - 0	n/a		n/a	n/a	n/a		1,861	1,861 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
sampHoldingId	6 - 28	n/a	Flakkebjerg	n/a	n/a	n/a	Serra da Lou…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	8 ( 0.4% )
herdId	1 - 2	5.1	0	2	4	8	16	1,861	165 ( 8.9% )	40 ( 2.1% )	0 ( 0.0% )	17 ( 0.9% )

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
resId	100.00%	100.00%	Nos100a	Nos100a
sampUnitIds	100.00%	3.98%	sampHoldingId=Foulum$herdId=5	sampHoldingId=Flakkebjerg$herdId=7
sampId	100.00%	90.54%	Ps323	No100a
sampCountry	100.00%	0.11%	DK	PT
sampY	100.00%	0.11%	2019	2020
sampM	100.00%	0.48%	5	11
sampD	100.00%	1.61%	26	17
sampEventInfo	100.00%	0.05%	com=sampT	com=sampT
sampSize	81.30%	6.13%	20.0000000000	273.0000000000
sampSizeUnit	81.30%	0.32%	G155A	G148A
sampSizeUnit_desc	100.00%	0.32%	Milligram	Gram
sampMatCode	100.00%	0.38%	A16XE#F01.A04TJ	A16XD#F01.A04TJ
sampMatText	100.00%	0.54%	Adult bees	Nectar from flowers
analysisY	100.00%	0.11%	2020	2019
analysisM	100.00%	0.64%	12	5
analysisD	100.00%	1.50%	30	28
anPortSeq	100.00%	0.11%	1	2
labId	100.00%	0.21%	AU_DK	UC_PT
labAccred	100.00%	0.05%	L003A	L003A
labAccred_desc	100.00%	0.05%	None	None
paramCode	100.00%	1.61%	RF-XXXX-XXX-XXX	RF-0035-001-PPP
paramCode_desc	100.00%	1.61%	Not in list	Azoxystrobin
paramText	28.05%	4.25%	n/a	Crategus
anMethRefId	100.00%	0.38%	QPCR for (R/D)NA quantification	Mite down-fall
anMethCode	97.80%	0.38%	F087A	F701A
anMethCode_desc	100.00%	0.38%	Quantitative polymerase chain reaction (QPCR)	Mite fall
anMethText	97.80%	0.38%	QPCR for (R/D)NA quantification	Mite down-fall in 24h
resUnit	95.27%	0.27%	G295A	n/a
resUnit_desc	100.00%	0.27%	Log10 of count	.
resLOD	61.90%	0.21%	0.0000000000	0.0030000000
resLOQ	61.90%	0.16%	0.0000000000	0.0100000000
resVal	85.60%	20.26%	n/a	28.8000000000
resValRec	0.00%	0.05%	n/a	n/a
resValRecCorr	0.00%	0.05%	n/a	n/a
exprResType	18.70%	0.11%	n/a	B001A
exprResType_desc	100.00%	0.11%	.	Whole weight
resQualValue	46.59%	0.16%	n/a	NEG
resType	100.00%	0.27%	VAL	AWR
resType_desc	100.00%	0.27%	Numerical Value	Value above the upper limit of the working range
resValUncert	0.00%	0.05%	n/a	n/a
resValUncertSD	0.00%	0.05%	n/a	n/a
sampHoldingId	100.00%	0.43%	Foulum	Serra da Lousa+Idanha-a-Nova
herdId	91.13%	0.91%	1	14

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

table_vii_observation_colony

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

Parameter	Content
Unique identifier	MUSTB76.TBLVB138.0
Name	table_vii_observation_colony
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/MUSTB76.TBLVB138.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table contains information obtained from the observation colony in order to determine foraging locations based on the interpretation of waggle dances.

Data in this table contains information obtained from the observation colony in order to determine foraging locations based on the interpretation of waggle dances.

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
observationId	Unique identifier of the observation of the waggle dance performed at a certain time by one individual.	Integer number	Integer [0.0.NTGER313]	n/a
dancerId	Unique identifier of the bee performing the waggle dance.	Integer number	Integer [0.0.NTGER313]	n/a
siteNo	Identifier for the site.	Integer number	Integer [0.0.NTGER313]	n/a
hiveNo	Identifier for the observation hive.	Integer number	Integer [0.0.NTGER313]	n/a
sampY	Year of visit.	Integer number	Integer [0.0.NTGER313]	n/a
sampM	Month of visit.	Integer number	Integer [0.0.NTGER313]	n/a
sampD	Day of visit.	Integer number	Integer [0.0.NTGER313]	n/a
sampT	Time of visit.	Integer number	Integer [0.0.NTGER313]	n/a
waggleDuration	Duration of waggle dance in seconds.	Decimal number	DecimalNumber [0.0.DCMLN314]	s
waggleLength	Radius of waggle dance in mm.	Undefined	[]	mm
waggleOrientation	Orientation in degrees.	Decimal number	DecimalNumber [0.0.DCMLN314]	°
waggleDirection	Direction in degrees.	Decimal number	DecimalNumber [0.0.DCMLN314]	°
pollenColor	Classification of pollen.	Undefined	[]	n/a
pollenAbundance	Abundance of pollen classified by colour.	Undefined	[]	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
observationId	3 - 4	1,248.7	779	972.5	1,165	1,604.5	1,796	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	769 ( 100.0% )
dancerId	5 - 5	54,946.0	11,177	32,387	54,619	77,308.5	99,714	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	767 ( 99.7% )
siteNo	1 - 1	2.8	1	1	1	6	6	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.4% )
hiveNo	1 - 2	12.1	8	8	8	20	20	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.3% )
sampY	4 - 4	2,019.0	2,018	2,019	2,019	2,019	2,019	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.3% )
sampM	1 - 1	5.4	3	4	5	7	8	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.8% )
sampD	1 - 2	14.0	2	9	11	20	30	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	13 ( 1.7% )
sampT	2 - 2	12.7	11	12	12	13	15	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.7% )
waggleDuration	12 - 12	1.46051300000	0.2090000000	1.0555	1.392	1.8	6.1380000000	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	399 ( 51.9% )
waggleLength	0 - 0	n/a		n/a	n/a	n/a		769	769 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
waggleOrientation	12 - 13	-0.52104522000	-6.2133866670	-2.25115957	0.04360624	1.59920471	5.9164443800	769	0 ( 0.0% )	2 ( 0.3% )	0 ( 0.0% )	665 ( 86.5% )
waggleDirection	12 - 13	3.37559357000	-3.1146163940	0.60469758	3.14302945	5.30914854	9.1990213390	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	752 ( 97.8% )
pollenColor	0 - 0	n/a		n/a	n/a	n/a		769	769 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )
pollenAbundance	0 - 0	n/a		n/a	n/a	n/a		769	769 ( 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
observationId	100.00%	100.00%	1000	1000
dancerId	100.00%	99.74%	85468	95352
siteNo	100.00%	0.39%	1	2
hiveNo	100.00%	0.26%	8	20
sampY	100.00%	0.26%	2019	2018
sampM	100.00%	0.78%	7	6
sampD	100.00%	1.69%	11	14
sampT	100.00%	0.65%	12	11
waggleDuration	100.00%	51.89%	2.0000000000	2.3200000000
waggleLength	0.00%	0.13%	n/a	n/a
waggleOrientation	100.00%	86.48%	1.7658119360	-0.1528245470
waggleDirection	100.00%	97.79%	0.2713881730	3.2673008440
pollenColor	0.00%	0.13%	n/a	n/a
pollenAbundance	0.00%	0.13%	n/a	n/a

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

References

Yoko L D., Nuno C., Per K., Joana A., Jørgen A A., Mette G B. et al. 2021 Research project on field data collection for honey bee colony model evaluation. EFSA Supporting Publications. Vol. 18, (7) p. 6695E. doi: 10.2903/sp.efsa.2021.EN-6695

Annex 1: Table column reports

Table: 01_sites_coord

Column: siteNo

Table 42. Structural analysis of the table. Column name (Name); concise description 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	siteNo
Description	Unique identifier of the site.
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 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	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
siteNo	1 - 3	51.6	1	2	4	6	340	7	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 100.0% )

Table 44. 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
siteNo	100.00%	100.00%	1	1

Continuous Data Distribution

Figure 1. Distribution of values in the column.

Outliers

Figure 2. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 4. Visualization of uniqueness of the data in the column.

Column: siteName

Table 45. Structural analysis of the table. Column name (Name); concise description 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	siteName
Description	Name of the site.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
siteName	6 - 15	n/a	Flakkebjerg	n/a	n/a	n/a	Serra da Lou…	7	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 100.0% )

Table 47. 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
siteName	100.00%	100.00%	Foulum	Foulum

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: country

Table 48. Structural analysis of the table. Column name (Name); concise description 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	Country where the site is located.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
country	2 - 2	n/a	DK	n/a	n/a	n/a	PT	7	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 28.6% )

Table 50. 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%	28.57%	DK	PT

Data Distribution Top 20

Figure 7. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 9. Visualization of uniqueness of the data in the column.

Column: UTMCoordinates

Table 51. Structural analysis of the table. Column name (Name); concise description 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	UTMCoordinates
Description	Coordinates of the site in UTM format.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
UTMCoordinates	19 - 31	n/a	29 N 564475…	n/a	n/a	n/a	32 N 651424…	7	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 100.0% )

Table 53. 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
UTMCoordinates	100.00%	100.00%	32 N 535727.42082 6260998.83420	32 N 535727.42082 6260998.83420

Completeness

Figure 10. Visualization of completeness of the data in the column.

Uniqueness

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

Table: 02_polygons_coord

Column: siteNo

Table 54. Structural analysis of the table. Column name (Name); concise description 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	siteNo
Description	Identifier for the site.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
siteNo	1 - 3	12.3	1	3	3	5	340	453	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 1.5% )

Table 56. 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
siteNo	100.00%	1.55%	3	340

Data Distribution Top 20

Figure 12. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 13. Distribution of values in the column.

Outliers

Figure 14. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 16. Visualization of uniqueness of the data in the column.

Column: UniquePolyID

Table 57. Structural analysis of the table. Column name (Name); concise description 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	UniquePolyID
Description	Unique identifier of the polygon.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
UniquePolyID	8 - 22	n/a	DKFlak43	n/a	n/a	n/a	PTserr999627…	453	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	453 ( 100.0% )

Table 59. 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
UniquePolyID	100.00%	100.00%	DKflak01a052019_746567	DKflak01a052019_746567

Completeness

Figure 17. Visualization of completeness of the data in the column.

Uniqueness

Figure 18. Visualization of uniqueness of the data in the column.

Column: Area

Table 60. Structural analysis of the table. Column name (Name); concise description 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
Description	Size of the polygon in square metres.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Area	2 - 8	179,889.5	14	341	1,809	22,287.5	24,890,039	453	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	410 ( 90.5% )

Table 62. 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	100.00%	90.51%	193	1600

Continuous Data Distribution

Figure 19. Distribution of values in the column.

Outliers

Figure 20. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 21. Visualization of completeness of the data in the column.

Uniqueness

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

Column: UTMCoordinatesOfCentroid

Table 63. Structural analysis of the table. Column name (Name); concise description 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	UTMCoordinatesOfCentroid
Description	Coordinates of the polygon centroid in UTM format.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
UTMCoordinatesOfCentroid	19 - 19	n/a	29 N 559687…	n/a	n/a	n/a	32 N 652553…	453	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	453 ( 100.0% )

Table 65. 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
UTMCoordinatesOfCentroid	100.00%	100.00%	32 N 652068 6133970	32 N 652068 6133970

Completeness

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

Uniqueness

Figure 24. Visualization of uniqueness of the data in the column.

Table: table_i_pesticide_application

Column: dropletSize

Table 66. Structural analysis of the table. Column name (Name); concise description 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	dropletSize
Description	Droplet size microns.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
dropletSize	6 - 6	n/a	Coarse	n/a	n/a	n/a	Coarse	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 68. 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
dropletSize	100.00%	100.00%	Coarse	Coarse

Data Distribution Top 20

Figure 25. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 27. Visualization of uniqueness of the data in the column.

Column: nBar

Table 69. Structural analysis of the table. Column name (Name); concise description 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	nBar
Description	Nozzle pressure in bar.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
nBar	12 - 12	3.30000000000	3.3000000000	n/a	n/a	n/a	3.3000000000	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 71. 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
nBar	100.00%	100.00%	3.3000000000	3.3000000000

Data Distribution Top 20

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

Continuous Data Distribution

Figure 29. Distribution of values in the column.

Completeness

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

Uniqueness

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

Column: boomHeight

Table 72. Structural analysis of the table. Column name (Name); concise description 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	boomHeight
Description	Boom height in metres.
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	m

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
boomHeight	12 - 12	1.60000000000	1.6000000000	n/a	n/a	n/a	1.6000000000	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 74. 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
boomHeight	100.00%	100.00%	1.6000000000	1.6000000000

Data Distribution Top 20

Figure 32. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 33. Distribution of values in the column.

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: boomWidth

Table 75. Structural analysis of the table. Column name (Name); concise description 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	boomWidth
Description	Boom width in metres.
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	m

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
boomWidth	2 - 2	27.0	27	n/a	n/a	n/a	27	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 77. 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
boomWidth	100.00%	100.00%	27	27

Data Distribution Top 20

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

Continuous Data Distribution

Figure 37. Distribution of values in the column.

Completeness

Figure 38. Visualization of completeness of the data in the column.

Uniqueness

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

Column: formulation

Table 78. Structural analysis of the table. Column name (Name); concise description 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	formulation
Description	CIPAC formulation types.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
formulation	2 - 2	n/a	WG	n/a	n/a	n/a	WG	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 80. 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
formulation	100.00%	100.00%	WG	WG

Data Distribution Top 20

Figure 40. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 41. Visualization of completeness of the data in the column.

Uniqueness

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

Column: volume

Table 81. Structural analysis of the table. Column name (Name); concise description 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	volume
Description	Volume of water litres/hectare for spray applications.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
volume	3 - 3	300.0	300	n/a	n/a	n/a	300	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 83. 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
volume	100.00%	100.00%	300	300

Data Distribution Top 20

Figure 43. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 44. Distribution of values in the column.

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: doseRate

Table 84. Structural analysis of the table. Column name (Name); concise description 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	doseRate
Description	Actual dose rate for the product.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
doseRate	1 - 1	3.0	3	n/a	n/a	n/a	3	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 86. 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
doseRate	100.00%	100.00%	3	3

Data Distribution Top 20

Figure 47. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 48. Distribution of values in the column.

Completeness

Figure 49. Visualization of completeness of the data in the column.

Uniqueness

Figure 50. Visualization of uniqueness of the data in the column.

Column: amount

Table 87. Structural analysis of the table. Column name (Name); concise description 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	amount
Description	Quantity of product used per hectare in kilograms.
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	kg ha-1

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
amount	12 - 12	0.90000000000	0.9000000000	n/a	n/a	n/a	0.9000000000	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 89. 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
amount	100.00%	100.00%	0.9000000000	0.9000000000

Data Distribution Top 20

Figure 51. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 52. Distribution of values in the column.

Completeness

Figure 53. Visualization of completeness of the data in the column.

Uniqueness

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

Column: sprayRound

Table 90. Structural analysis of the table. Column name (Name); concise description 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	sprayRound
Description	Numerical code for products within one spray tank.
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 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).

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

Table 92. 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
sprayRound	100.00%	100.00%	1	1

Data Distribution Top 20

Figure 55. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 56. Visualization of completeness of the data in the column.

Uniqueness

Figure 57. Visualization of uniqueness of the data in the column.

Column: treatedArea

Table 93. Structural analysis of the table. Column name (Name); concise description 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	treatedArea
Description	Area treated with product in hectares in the spray round.
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	ha

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
treatedArea	1 - 1	6.0	6	n/a	n/a	n/a	6	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 95. 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
treatedArea	100.00%	100.00%	6	6

Data Distribution Top 20

Figure 58. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 59. Distribution of values in the column.

Completeness

Figure 60. Visualization of completeness of the data in the column.

Uniqueness

Figure 61. Visualization of uniqueness of the data in the column.

Column: startTime

Table 96. Structural analysis of the table. Column name (Name); concise description 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	startTime
Description	Start time.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
startTime	5 - 5	n/a	09:30	n/a	n/a	n/a	09:30	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 98. 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
startTime	100.00%	100.00%	09:30	09:30

Data Distribution Top 20

Figure 62. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 64. Visualization of uniqueness of the data in the column.

Column: hours

Table 99. Structural analysis of the table. Column name (Name); concise description 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	hours
Description	Number hours spraying.
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	h

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
hours	1 - 1	1.0	1	n/a	n/a	n/a	1	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 101. 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
hours	100.00%	100.00%	1	1

Data Distribution Top 20

Figure 65. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 66. Distribution of values 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: icBuffer

Table 102. Structural analysis of the table. Column name (Name); concise description 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	icBuffer
Description	Record the width (in metres) of any in-crop buffer.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
icBuffer	2 - 2	27.0	27	n/a	n/a	n/a	27	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 104. 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
icBuffer	100.00%	100.00%	27	27

Data Distribution Top 20

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

Continuous Data Distribution

Figure 70. Distribution of values in the column.

Completeness

Figure 71. Visualization of completeness of the data in the column.

Uniqueness

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

Column: applicationId

Table 105. Structural analysis of the table. Column name (Name); concise description 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	applicationId
Description	Unique identifier for each pesticide application.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
applicationId	6 - 6	n/a	PA8349	n/a	n/a	n/a	PA8349	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 107. 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
applicationId	100.00%	100.00%	PA8349	PA8349

Data Distribution Top 20

Figure 73. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 74. Visualization of completeness of the data in the column.

Uniqueness

Figure 75. Visualization of uniqueness of the data in the column.

Column: siteNo

Table 108. Structural analysis of the table. Column name (Name); concise description 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	siteNo
Description	Reference number for site included in the survey.
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 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).

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

Table 110. 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
siteNo	100.00%	100.00%	1	1

Data Distribution Top 20

Figure 76. Distribution of 20 most common values, from highest to lowest.

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: fieldno

Table 111. Structural analysis of the table. Column name (Name); concise description 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	fieldno
Description	Reference number for field.
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 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).

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

Table 113. 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
fieldno	100.00%	100.00%	1	1

Data Distribution Top 20

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

Completeness

Figure 80. Visualization of completeness of the data in the column.

Uniqueness

Figure 81. Visualization of uniqueness of the data in the column.

Column: cropCode

Table 114. Structural analysis of the table. Column name (Name); concise description 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	cropCode
Description	EFSA DCF cataloque code for crop grown on the farm.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
cropCode	5 - 5	n/a	A05SA	n/a	n/a	n/a	A05SA	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 116. 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
cropCode	100.00%	100.00%	A05SA	A05SA

Data Distribution Top 20

Figure 82. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 84. Visualization of uniqueness of the data in the column.

Column: cropCode_desc

Table 117. Structural analysis of the table. Column name (Name); concise description 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	cropCode_desc
Description	Content of column efsa_dcf_catalogue.mtx_term.termExtendedName.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
cropCode_desc	25 - 25	n/a	Rape for see…	n/a	n/a	n/a	Rape for see…	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 119. 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
cropCode_desc	100.00%	100.00%	Rape for seeds (as plant)	Rape for seeds (as plant)

Data Distribution Top 20

Figure 85. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 87. Visualization of uniqueness of the data in the column.

Column: cropText

Table 120. Structural analysis of the table. Column name (Name); concise description 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	cropText
Description	Additional information on crop.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
cropText	9 - 9	n/a	flowering	n/a	n/a	n/a	flowering	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 122. 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
cropText	100.00%	100.00%	flowering	flowering

Data Distribution Top 20

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

Completeness

Figure 89. Visualization of completeness of the data in the column.

Uniqueness

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

Column: fieldArea

Table 123. Structural analysis of the table. Column name (Name); concise description 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	fieldArea
Description	Area of field in hectares.
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	ha

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
fieldArea	1 - 1	6.0	6	n/a	n/a	n/a	6	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 125. 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
fieldArea	100.00%	100.00%	6	6

Data Distribution Top 20

Figure 91. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 92. Distribution of values in the column.

Completeness

Figure 93. Visualization of completeness of the data in the column.

Uniqueness

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

Column: site_slope

Table 126. Structural analysis of the table. Column name (Name); concise description 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	site_slope
Description	Slope of the field.
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 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).

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

Table 128. 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
site_slope	100.00%	100.00%	0	0

Data Distribution Top 20

Figure 95. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 96. Distribution of values in the column.

Completeness

Figure 97. Visualization of completeness of the data in the column.

Uniqueness

Figure 98. Visualization of uniqueness of the data in the column.

Column: usageY

Table 129. Structural analysis of the table. Column name (Name); concise description 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	usageY
Description	Year of application.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
usageY	4 - 4	2,019.0	2,019	n/a	n/a	n/a	2,019	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 131. 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
usageY	100.00%	100.00%	2019	2019

Data Distribution Top 20

Figure 99. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 100. Distribution of values in the column.

Completeness

Figure 101. Visualization of completeness of the data in the column.

Uniqueness

Figure 102. Visualization of uniqueness of the data in the column.

Column: usageM

Table 132. Structural analysis of the table. Column name (Name); concise description 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	usageM
Description	Month of application.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
usageM	1 - 1	4.0	4	n/a	n/a	n/a	4	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 134. 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
usageM	100.00%	100.00%	4	4

Data Distribution Top 20

Figure 103. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 104. Distribution of values in the column.

Completeness

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

Uniqueness

Figure 106. Visualization of uniqueness of the data in the column.

Column: usageD

Table 135. Structural analysis of the table. Column name (Name); concise description 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	usageD
Description	Day of application.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
usageD	2 - 2	29.0	29	n/a	n/a	n/a	29	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 137. 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
usageD	100.00%	100.00%	29	29

Data Distribution Top 20

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

Continuous Data Distribution

Figure 108. Distribution of values 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: cropStage

Table 138. Structural analysis of the table. Column name (Name); concise description 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	cropStage
Description	Code to indicate crop stage.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
cropStage	2 - 2	63.0	63	n/a	n/a	n/a	63	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 140. 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
cropStage	100.00%	100.00%	63	63

Data Distribution Top 20

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

Continuous Data Distribution

Figure 112. Distribution of values in the column.

Completeness

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

Uniqueness

Figure 114. Visualization of uniqueness of the data in the column.

Column: cropHeight

Table 141. Structural analysis of the table. Column name (Name); concise description 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	cropHeight
Description	Height of crop in meters.
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	m

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
cropHeight	12 - 12	1.10000000000	1.1000000000	n/a	n/a	n/a	1.1000000000	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 143. 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
cropHeight	100.00%	100.00%	1.1000000000	1.1000000000

Data Distribution Top 20

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

Continuous Data Distribution

Figure 116. Distribution of values in the column.

Completeness

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

Uniqueness

Figure 118. Visualization of uniqueness of the data in the column.

Column: productName

Table 144. Structural analysis of the table. Column name (Name); concise description 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	productName
Description	Names of plant protection product applied.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
productName	9 - 9	n/a	Pirimor G	n/a	n/a	n/a	Pirimor G	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 146. 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
productName	100.00%	100.00%	Pirimor G	Pirimor G

Data Distribution Top 20

Figure 119. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 121. Visualization of uniqueness of the data in the column.

Column: activeSubstance

Table 147. Structural analysis of the table. Column name (Name); concise description 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	activeSubstance
Description	EFSA DCF catalogue code Active substance applied.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
activeSubstance	5 - 5	n/a	RF-03	n/a	n/a	n/a	RF-03	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 149. 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
activeSubstance	100.00%	100.00%	RF-03	RF-03

Data Distribution Top 20

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

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: activeSubstance_desc

Table 150. Structural analysis of the table. Column name (Name); concise description 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	activeSubstance_desc
Description	Content of column efsa_dcf_catalogue.param_term.termExtendedName.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
activeSubstance_desc	10 - 10	n/a	Pirimicarb	n/a	n/a	n/a	Pirimicarb	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 152. 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
activeSubstance_desc	100.00%	100.00%	Pirimicarb	Pirimicarb

Data Distribution Top 20

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

Completeness

Figure 126. Visualization of completeness of the data in the column.

Uniqueness

Figure 127. Visualization of uniqueness of the data in the column.

Column: applicationCode

Table 153. Structural analysis of the table. Column name (Name); concise description 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	applicationCode
Description	Code for the method of application of the product.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
applicationCode	2 - 2	n/a	HD	n/a	n/a	n/a	HD	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 155. 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
applicationCode	100.00%	100.00%	HD	HD

Data Distribution Top 20

Figure 128. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 130. Visualization of uniqueness of the data in the column.

Column: lowdrift

Table 156. Structural analysis of the table. Column name (Name); concise description 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	lowdrift
Description	Brief description of any drift reduction technology used.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
lowdrift	91 - 91	n/a	twin flat sp…	n/a	n/a	n/a	twin flat sp…	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 158. 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
lowdrift	100.00%	100.00%	twin flat spray air-injector compact nozzles IDKT 120-03, low wind, coarse droplets, buffer	twin flat spray air-injector compact nozzles IDKT 120-03, low wind, coarse droplets, buffer

Data Distribution Top 20

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

Completeness

Figure 132. Visualization of completeness of the data in the column.

Uniqueness

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

Column: speed

Table 159. Structural analysis of the table. Column name (Name); concise description 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	speed
Description	Forward speed of sprayer (km h-1).
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	km h-1

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
speed	1 - 1	5.0	5	n/a	n/a	n/a	5	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 161. 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
speed	100.00%	100.00%	5	5

Data Distribution Top 20

Figure 134. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 135. Distribution of values in the column.

Completeness

Figure 136. Visualization of completeness of the data in the column.

Uniqueness

Figure 137. Visualization of uniqueness of the data in the column.

Column: nozzleType

Table 162. Structural analysis of the table. Column name (Name); concise description 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	nozzleType
Description	Nozzle type.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
nozzleType	8 - 8	n/a	Twin jet	n/a	n/a	n/a	Twin jet	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 164. 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
nozzleType	100.00%	100.00%	Twin jet	Twin jet

Data Distribution Top 20

Figure 138. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 140. Visualization of uniqueness of the data in the column.

Column: nnozzles

Table 165. Structural analysis of the table. Column name (Name); concise description 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	nnozzles
Description	The number of nozzles in total used to deliver the dose.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
nnozzles	2 - 2	54.0	54	n/a	n/a	n/a	54	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 167. 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
nnozzles	100.00%	100.00%	54	54

Data Distribution Top 20

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

Continuous Data Distribution

Figure 142. Distribution of values 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: nozzleSpacing

Table 168. Structural analysis of the table. Column name (Name); concise description 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	nozzleSpacing
Description	Nozzle spacing.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
nozzleSpacing	2 - 2	50.0	50	n/a	n/a	n/a	50	1	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 100.0% )

Table 170. 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
nozzleSpacing	100.00%	100.00%	50	50

Data Distribution Top 20

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

Continuous Data Distribution

Figure 146. Distribution of values in the column.

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: nozzleOrientation

Table 171. Structural analysis of the table. Column name (Name); concise description 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	nozzleOrientation
Description	Nozzle angle upwards/downwards.
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 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).

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

Table 173. 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
nozzleOrientation	100.00%	100.00%	0	0

Data Distribution Top 20

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

Continuous Data Distribution

Figure 150. Distribution of values in the column.

Completeness

Figure 151. Visualization of completeness of the data in the column.

Uniqueness

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

Table: table_ii_resource_providing_unit_coord

Column: resId

Table 174. Structural analysis of the table. Column name (Name); concise description 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	resId
Description	Identifier for the report.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resId	5 - 8	n/a	RPUL10	n/a	n/a	n/a	RPUL999	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6,866 ( 100.0% )

Table 176. 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
resId	100.00%	100.00%	RPUL10	RPUL10

Completeness

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

Uniqueness

Figure 154. Visualization of uniqueness of the data in the column.

Column: siteNo

Table 177. Structural analysis of the table. Column name (Name); concise description 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	siteNo
Description	Identifier for the site.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
siteNo	1 - 3	6.0	1	5	5	6	340	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.1% )

Table 179. 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
siteNo	100.00%	0.10%	6	340

Data Distribution Top 20

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

Continuous Data Distribution

Figure 156. Distribution of values in the column.

Outliers

Figure 157. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 159. Visualization of uniqueness of the data in the column.

Column: fieldNo

Table 180. Structural analysis of the table. Column name (Name); concise description 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	fieldNo
Description	Identifier for the field if the observation was taken in one of the treated fields.
Data type	Unknown
Descriptor
Unit	n/a

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
fieldNo	0 - 0	n/a		n/a	n/a	n/a		6,866	6,866 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 182. 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
fieldNo	0.00%	0.01%	n/a	n/a

Data Distribution Top 20

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

Completeness

Figure 161. Visualization of completeness of the data in the column.

Uniqueness

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

Column: polygonId

Table 183. Structural analysis of the table. Column name (Name); concise description 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	polygonId
Description	Identifier of the polygon as reported in the polygons table.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
polygonId	8 - 22	n/a	DKFlak43	n/a	n/a	n/a	PTserr999627…	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	281 ( 4.1% )

Table 185. 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
polygonId	100.00%	4.09%	PTserr947813812	DKflak03b052019_846765

Completeness

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

Uniqueness

Figure 164. Visualization of uniqueness of the data in the column.

Column: UTMCoordinates

Table 186. Structural analysis of the table. Column name (Name); concise description 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	UTMCoordinates
Description	Coordinates of the instrument or the polygon in UTM format.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
UTMCoordinates	19 - 19	n/a	29 N 559757…	n/a	n/a	n/a	32 N 652464…	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	386 ( 5.6% )

Table 188. 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
UTMCoordinates	100.00%	5.62%	29 N 658694 4415091	32 N 650788 6135172

Completeness

Figure 165. Visualization of completeness of the data in the column.

Uniqueness

Figure 166. Visualization of uniqueness of the data in the column.

Column: sampY

Table 189. Structural analysis of the table. Column name (Name); concise description 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	sampY
Description	Year of observation.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampY	4 - 4	2,019.4	2,018	2,019	2,019	2,020	2,020	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 191. 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
sampY	100.00%	0.04%	2019	2018

Data Distribution Top 20

Figure 167. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 168. Distribution of values in the column.

Outliers

Figure 169. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 170. Visualization of completeness of the data in the column.

Uniqueness

Figure 171. Visualization of uniqueness of the data in the column.

Column: sampM

Table 192. Structural analysis of the table. Column name (Name); concise description 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	sampM
Description	Month of observation.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampM	1 - 2	5.4	3	4	5	6	10	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	8 ( 0.1% )

Table 194. 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
sampM	100.00%	0.12%	5	10

Data Distribution Top 20

Figure 172. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 173. Distribution of values in the column.

Outliers

Figure 174. Visualization of median, min, max, and outliers in the column.

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: sampD

Table 195. Structural analysis of the table. Column name (Name); concise description 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	sampD
Description	Day of observation.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampD	1 - 2	15.2	1	9	16	19	30	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	28 ( 0.4% )

Table 197. 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
sampD	100.00%	0.41%	16	11

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.

Outliers

Figure 179. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 181. Visualization of uniqueness of the data in the column.

Column: sampMatCode

Table 198. Structural analysis of the table. Column name (Name); concise description 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	sampMatCode
Description	Plant species identified at the location.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampMatCode	8 - 43	n/a	Acacia dealb…	n/a	n/a	n/a	Zantedeschia…	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	381 ( 5.5% )

Table 200. 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
sampMatCode	100.00%	5.55%	Erica cinerea	Petrorhagia nanteuilii

Completeness

Figure 182. Visualization of completeness of the data in the column.

Uniqueness

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

Column: plantType

Table 201. Structural analysis of the table. Column name (Name); concise description 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	plantType
Description	Indicate whether the plant is a crop or a weed. One of the following terms: Crop, Weed, Wild plant
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
plantType	4 - 10	n/a	Crop	n/a	n/a	n/a	Wild plant	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 203. 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
plantType	100.00%	0.04%	Wild plant	Weed

Data Distribution Top 20

Figure 184. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 185. Visualization of completeness of the data in the column.

Uniqueness

Figure 186. Visualization of uniqueness of the data in the column.

Column: vegetativeType

Table 204. Structural analysis of the table. Column name (Name); concise description 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	vegetativeType
Description	Vegetative type of the observed plant. One of the following terms: Herb, Shrub, Sub-shrub, Tree
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
vegetativeType	4 - 9	n/a	Herb	n/a	n/a	n/a	Tree	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 0.1% )

Table 206. 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
vegetativeType	100.00%	0.06%	Herb	Tree

Data Distribution Top 20

Figure 187. Distribution of 20 most common values, from highest to lowest.

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: flowering

Table 207. Structural analysis of the table. Column name (Name); concise description 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
Description	Indicate if flowers were observed on the plant. One of the following terms: Y (yes), N (no)
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
flowering	1 - 1	n/a	Y	n/a	n/a	n/a	Y	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 209. 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	100.00%	0.01%	Y	Y

Data Distribution Top 20

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

Completeness

Figure 191. Visualization of completeness of the data in the column.

Uniqueness

Figure 192. Visualization of uniqueness of the data in the column.

Column: abundanceClass

Table 210. Structural analysis of the table. Column name (Name); concise description 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	abundanceClass
Description	Classification of abundance of plant species at site inspected. One of the following terms: For shrub and tree 3 = large and abundant, 2 = of intermediate size or small but abundant, 1 = small and not abundant; For herb and sub-shrub 3 = covers at least 75% of the area and flowers are abundant, 2 = covers 25-75% of the area and flowers are abundant, 1 = covers less than 25% and/or flowers are not abundant.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
abundanceClass	1 - 1	1.1	1	1	1	1	3	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 212. 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
abundanceClass	100.00%	0.04%	1	3

Data Distribution Top 20

Figure 193. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 194. Distribution of values in the column.

Outliers

Figure 195. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 196. Visualization of completeness of the data in the column.

Uniqueness

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

Column: pollen

Table 213. Structural analysis of the table. Column name (Name); concise description 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	pollen
Description	Pollen sample taken. One of the following terms: Y (yes), N (no)
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
pollen	1 - 1	n/a	N	n/a	n/a	n/a	N	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 215. 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
pollen	100.00%	0.01%	N	N

Data Distribution Top 20

Figure 198. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 199. Visualization of completeness of the data in the column.

Uniqueness

Figure 200. Visualization of uniqueness of the data in the column.

Column: nectar

Table 216. Structural analysis of the table. Column name (Name); concise description 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
Description	Nectar sample taken. One of the following terms: Y (yes), N (no)
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
nectar	1 - 1	n/a	N	n/a	n/a	n/a	N	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 218. 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	100.00%	0.01%	N	N

Data Distribution Top 20

Figure 201. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 203. Visualization of uniqueness of the data in the column.

Column: anMetText

Table 219. Structural analysis of the table. Column name (Name); concise description 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	anMetText
Description	Method of identification. One of the following terms: Visual, Morphological key, DNA analysis
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
anMetText	6 - 6	n/a	Visual	n/a	n/a	n/a	Visual	6,866	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 221. 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
anMetText	100.00%	0.01%	Visual	Visual

Data Distribution Top 20

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

Completeness

Figure 205. Visualization of completeness of the data in the column.

Uniqueness

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

Table: table_iii_hives

Column: hiveId

Table 222. Structural analysis of the table. Column name (Name); concise description 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	hiveId
Description	Unique identifier of the hive.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
hiveId	6 - 9	n/a	DK_1_1	n/a	n/a	n/a	PT_6_9	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	80 ( 100.0% )

Table 224. 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
hiveId	100.00%	100.00%	DK_1_1	DK_1_1

Completeness

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

Uniqueness

Figure 208. Visualization of uniqueness of the data in the column.

Column: beeKeeperID

Table 225. Structural analysis of the table. Column name (Name); concise description 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	beeKeeperID
Description	Unique identifier for diary keeper.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
beeKeeperID	32 - 32	n/a	5BC8557A401F…	n/a	n/a	n/a	ECD273460646…	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 3.8% )

Table 227. 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
beeKeeperID	100.00%	3.75%	89D81AA2C010D67185C9217788CBCCF6	5BC8557A401F84B44F1BF03B71F3CF7C

Data Distribution Top 20

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

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: siteNo

Table 228. Structural analysis of the table. Column name (Name); concise description 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	siteNo
Description	Identifier for the site.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
siteNo	1 - 3	24.9	1	2.25	4	6	340	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 8.8% )

Table 230. 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
siteNo	100.00%	8.75%	6	340

Data Distribution Top 20

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

Continuous Data Distribution

Figure 213. Distribution of values in the column.

Outliers

Figure 214. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 216. Visualization of uniqueness of the data in the column.

Column: hiveNo

Table 231. Structural analysis of the table. Column name (Name); concise description 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	hiveNo
Description	Identifier for the hive/colony.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
hiveNo	1 - 2	7.7	1	4	7	10.75	20	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	20 ( 25.0% )

Table 233. 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
hiveNo	100.00%	25.00%	1	16

Continuous Data Distribution

Figure 217. Distribution of values in the column.

Outliers

Figure 218. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 220. Visualization of uniqueness of the data in the column.

Column: sampCountry

Table 234. Structural analysis of the table. Column name (Name); concise description 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	sampCountry
Description	Country where the sample was taken for laboratory testing (ISO 3166-1-alpha-2).
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampCountry	2 - 2	n/a	DK	n/a	n/a	n/a	PT	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.5% )

Table 236. 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
sampCountry	100.00%	2.50%	DK	PT

Data Distribution Top 20

Figure 221. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 223. Visualization of uniqueness of the data in the column.

Column: UTMCoordinates

Table 237. Structural analysis of the table. Column name (Name); concise description 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	UTMCoordinates
Description	Coordinates of the hive in UTM format.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
UTMCoordinates	1 - 1	n/a	*	n/a	n/a	n/a	*	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.3% )

Table 239. 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
UTMCoordinates	100.00%	1.25%	*	*

Data Distribution Top 20

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

Completeness

Figure 225. Visualization of completeness of the data in the column.

Uniqueness

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

Column: hiveType

Table 240. Structural analysis of the table. Column name (Name); concise description 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	hiveType
Description	Type of hive. One of the following terms: Dadant, Langstroth, Norwegian
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
hiveType	9 - 10	n/a	Langstroth	n/a	n/a	n/a	Norwegian	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.5% )

Table 242. 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
hiveType	100.00%	2.50%	Norwegian	Langstroth

Data Distribution Top 20

Figure 227. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 228. Visualization of completeness of the data in the column.

Uniqueness

Figure 229. Visualization of uniqueness of the data in the column.

Column: subSpecies

Table 243. Structural analysis of the table. Column name (Name); concise description 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	subSpecies
Description	Bee subspecies. One of the following terms: Apis mellifera carnica, Apis mellifera iberiensis, Apis mellifera mellifera x buckfast, Apis mellifera mellifera
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
subSpecies	25 - 35	n/a	Apis mellife…	n/a	n/a	n/a	Apis mellife…	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.5% )

Table 245. 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
subSpecies	100.00%	2.50%	Apis mellifera mellifera x buckfast	Apis mellifera iberiensis

Data Distribution Top 20

Figure 230. Distribution of 20 most common values, from highest to lowest.

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: observationHive

Table 246. Structural analysis of the table. Column name (Name); concise description 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	observationHive
Description	Indicate if the hive is the observation hive or an experimental hive. One of the following terms: Y (yes), N (no)
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
observationHive	1 - 1	n/a	N	n/a	n/a	n/a	Y	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.5% )

Table 248. 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
observationHive	100.00%	2.50%	N	Y

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: colonySize

Table 249. Structural analysis of the table. Column name (Name); concise description 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	colonySize
Description	Colony size on entry into the survey.
Data type	Unknown
Descriptor
Unit	n/a

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
colonySize	0 - 0	n/a		n/a	n/a	n/a		80	80 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.3% )

Table 251. 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
colonySize	0.00%	1.25%	n/a	n/a

Data Distribution Top 20

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

Completeness

Figure 237. Visualization of completeness of the data in the column.

Uniqueness

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

Table: table_iv_colony_management

Column: eventId

Table 252. Structural analysis of the table. Column name (Name); concise description 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	eventId
Description	Identifier for the reported event.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
eventId	3 - 6	n/a	CM10	n/a	n/a	n/a	CM999	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1,781 ( 100.0% )

Table 254. 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
eventId	100.00%	100.00%	CM10	CM10

Completeness

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

Uniqueness

Figure 240. Visualization of uniqueness of the data in the column.

Column: beeKeeperID

Table 255. Structural analysis of the table. Column name (Name); concise description 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	beeKeeperID
Description	Identifier for diary keeper.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
beeKeeperID	32 - 32	n/a	5BC8557A401F…	n/a	n/a	n/a	EAC7A9C9E5F6…	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.2% )

Table 257. 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
beeKeeperID	100.00%	0.17%	5BC8557A401F84B44F1BF03B71F3CF7C	EAC7A9C9E5F667F3D1071B4DFBA72CF8

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: siteNo

Table 258. Structural analysis of the table. Column name (Name); concise description 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	siteNo
Description	Identifier for the site.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
siteNo	1 - 3	3.3	1	2	2	5	340	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )

Table 260. 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
siteNo	100.00%	0.39%	2	340

Data Distribution Top 20

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

Continuous Data Distribution

Figure 245. Distribution of values in the column.

Outliers

Figure 246. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 247. Visualization of completeness of the data in the column.

Uniqueness

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

Column: hiveNo

Table 261. Structural analysis of the table. Column name (Name); concise description 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	hiveNo
Description	Identifier for the hive.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
hiveNo	1 - 2	5.2	1	2	5	7	20	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	20 ( 1.1% )

Table 263. 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
hiveNo	100.00%	1.12%	1	20

Data Distribution Top 20

Figure 249. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 250. Distribution of values in the column.

Outliers

Figure 251. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 253. Visualization of uniqueness of the data in the column.

Column: eventY

Table 264. Structural analysis of the table. Column name (Name); concise description 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	eventY
Description	Year of event.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
eventY	4 - 4	2,019.5	2,019	2,019	2,020	2,020	2,021	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.2% )

Table 266. 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
eventY	100.00%	0.17%	2020	2021

Data Distribution Top 20

Figure 254. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 255. Distribution of values in the column.

Outliers

Figure 256. Visualization of median, min, max, and outliers in the column.

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: eventM

Table 267. Structural analysis of the table. Column name (Name); concise description 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	eventM
Description	Month of event.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
eventM	1 - 2	6.7	1	5	7	8	12	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 0.7% )

Table 269. 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
eventM	100.00%	0.67%	8	12

Data Distribution Top 20

Figure 259. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 260. Distribution of values in the column.

Outliers

Figure 261. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 262. Visualization of completeness of the data in the column.

Uniqueness

Figure 263. Visualization of uniqueness of the data in the column.

Column: eventD

Table 270. Structural analysis of the table. Column name (Name); concise description 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	eventD
Description	Day of event.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
eventD	1 - 2	16.4	1	9	16	24	31	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	31 ( 1.7% )

Table 272. 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
eventD	100.00%	1.74%	21	5

Data Distribution Top 20

Figure 264. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 265. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 266. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 267. Visualization of completeness of the data in the column.

Uniqueness

Figure 268. Visualization of uniqueness of the data in the column.

Column: eventType

Table 273. Structural analysis of the table. Column name (Name); concise description 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	eventType
Description	Classification of type of event. One of the following terms: CLINICAL SIGNS / INPUT / INSPECTION / OTHER / OUTPUT / QUEEN LOSS / SAMPLE / SWARM
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
eventType	5 - 14	n/a	CLINICAL SIG…	n/a	n/a	n/a	SWARM	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )

Table 275. 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
eventType	100.00%	0.39%	INPUT	SWARM

Data Distribution Top 20

Figure 269. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 270. Visualization of completeness of the data in the column.

Uniqueness

Figure 271. Visualization of uniqueness of the data in the column.

Column: inoutType

Table 276. Structural analysis of the table. Column name (Name); concise description 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	inoutType
Description	Type of material added of removed from hive (e.g. Varroa treatment, supplementary feeding, altering bee population). Must be completed if INPUT or OUTPUT is selected in eventType. One of the following terms: Amitraz / Brewers yeast / Bromopropylate / Brood comb / Camphor / Coumaphos / Cymiazole / Empty frame / Eucalyptol / Fluvalinate / Food comb / Formic acid / Foundation comb / Honey / Lactic acid / Live bees / Menthol / No input-output / Oxalic acid / Pollen / Queen excluder / Soybean flour / Sucrose / Super + 10 frames / Thymol / Umethrin
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
inoutType	0 - 17	n/a	Amitraz	n/a	n/a	n/a	Thymol	1,781	807 ( 45.3% )	0 ( 0.0% )	0 ( 0.0% )	14 ( 0.8% )

Table 278. 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
inoutType	54.69%	0.79%	n/a	Empty frame

Data Distribution Top 20

Figure 272. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 273. Visualization of completeness of the data in the column.

Uniqueness

Figure 274. Visualization of uniqueness of the data in the column.

Column: inoutQuantity

Table 279. Structural analysis of the table. Column name (Name); concise description 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	inoutQuantity
Description	Amount of material added to or taken from.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
inoutQuantity	12 - 14	7.73217522000	0.0000000000	1	2.5	6	300.0000000000	1,781	802 ( 45.0% )	1 ( 0.1% )	0 ( 0.0% )	259 ( 14.5% )

Table 281. 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
inoutQuantity	54.97%	14.54%	n/a	7.3500000000

Continuous Data Distribution

Figure 275. Distribution of values in the column.

Outliers

Figure 276. Visualization of median, min, max, and outliers in the column.

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: inoutUnit

Table 282. Structural analysis of the table. Column name (Name); concise description 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	inoutUnit
Description	Units for quantity reported.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
inoutUnit	0 - 5	n/a	G090A	n/a	n/a	n/a	G294A	1,781	802 ( 45.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.3% )

Table 284. 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
inoutUnit	54.97%	0.34%	n/a	G090A

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: inoutUnit_desc

Table 285. Structural analysis of the table. Column name (Name); concise description 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	inoutUnit_desc
Description	Content of column efsa_dcf_catalogue.unit_term.termExtendedName.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
inoutUnit_desc	1 - 17	n/a	.	n/a	n/a	n/a	hiveframe	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.3% )

Table 287. 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
inoutUnit_desc	100.00%	0.34%	.	Square centimetre

Data Distribution Top 20

Figure 282. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 283. Visualization of completeness of the data in the column.

Uniqueness

Figure 284. Visualization of uniqueness of the data in the column.

Column: clinicalSigns

Table 288. Structural analysis of the table. Column name (Name); concise description 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	clinicalSigns
Description	Categorise the type of clinical signs observed if CLINICAL SIGNS is reported. One of the following terms: Black queen larvae / Black shiny honey bees / Brood and honey destruction / Cannibalism on larvae or on pupae / Cell cappings opened / Crawling honey bees, bees clinging to the grass / Dead bees in hive bottom / Dead colony / Dead honey bees in front of the hive / Dead bees in hive bottom / Dead honey bees within cells with the heads directed to the bottom of the cell (starvation) / Dead honey bees within cells with the heads sticking out the cells / Doubtful clinical signs / Galleries inside the frames / Honey bees with deformed and-or atrophied wings / Impeded/Occupied flight board / Larvae with a yellowish to brown colour / Mummified larvae / No clinical signs / Phoretic beetles-unusual larvae or eggs / Phoretic varroa / Queen problems / Ropy larvae (match test positive) / Slumped larvae / Specific odor of AFB / Spotty brood pattern / Suspect atypical mite / Traces of diarrhea / Trembling honey bees / Unusual honey bee mortality according to bee inspector
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
clinicalSigns	11 - 91	n/a	Black shiny…	n/a	n/a	n/a	Traces of di…	1,781	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	19 ( 1.1% )

Table 290. 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
clinicalSigns	100.00%	1.07%	No clinical signs	Cell cappings opened

Data Distribution Top 20

Figure 285. Distribution of 20 most common values, from highest to lowest.

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: eventDescription

Table 291. Structural analysis of the table. Column name (Name); concise description 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	eventDescription
Description	Details of reported event.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
eventDescription	0 - 86	n/a	"3 frames ad…	n/a	n/a	n/a	very small f…	1,781	251 ( 14.1% )	0 ( 0.0% )	0 ( 0.0% )	433 ( 24.3% )

Table 293. 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
eventDescription	85.91%	24.31%	n/a	Removed feeder

Completeness

Figure 288. Visualization of completeness of the data in the column.

Uniqueness

Figure 289. Visualization of uniqueness of the data in the column.

Table: table_v_colony_inspection

Column: resId

Table 294. Structural analysis of the table. Column name (Name); concise description 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	resId
Description	Identification code of an analytical result (a row of the data table) in the transmitted file.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resId	3 - 8	n/a	CA1	n/a	n/a	n/a	NAB999	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	435,964 ( 100.0% )

Table 296. 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
resId	100.00%	100.00%	CA1	CA1

Completeness

Figure 290. Visualization of completeness of the data in the column.

Uniqueness

Figure 291. Visualization of uniqueness of the data in the column.

Column: siteNo

Table 297. Structural analysis of the table. Column name (Name); concise description 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	siteNo
Description	Identifier for the site.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
siteNo	1 - 3	17.5	1	2	4	6	340	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.0% )

Table 299. 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
siteNo	100.00%	0.00%	6	340

Data Distribution Top 20

Figure 292. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 293. Distribution of values in the column.

Outliers

Figure 294. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 295. Visualization of completeness of the data in the column.

Uniqueness

Figure 296. Visualization of uniqueness of the data in the column.

Column: hiveNo

Table 300. Structural analysis of the table. Column name (Name); concise description 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	hiveNo
Description	Identifier for the hive.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
hiveNo	1 - 2	5.5	1	2	4	8	22	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 0.0% )

Table 302. 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
hiveNo	100.00%	0.00%	2	10

Data Distribution Top 20

Figure 297. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 298. Distribution of values in the column.

Outliers

Figure 299. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 300. Visualization of completeness of the data in the column.

Uniqueness

Figure 301. Visualization of uniqueness of the data in the column.

Column: frameNo

Table 303. Structural analysis of the table. Column name (Name); concise description 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	frameNo
Description	Identifier for the frame to be used for comb observations.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
frameNo	0 - 9	n/a	59a	n/a	n/a	n/a	frame 9B	435,964	284,722 ( 65.3% )	0 ( 0.0% )	0 ( 0.0% )	104 ( 0.0% )

Table 305. 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
frameNo	34.69%	0.02%	n/a	59a

Data Distribution Top 20

Figure 302. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 303. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 304. Visualization of completeness of the data in the column.

Uniqueness

Figure 305. Visualization of uniqueness of the data in the column.

Column: sampY

Table 306. Structural analysis of the table. Column name (Name); concise description 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	sampY
Description	Year of visit.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampY	4 - 4	2,019.5	1,970	2,019	2,019	2,020	2,020	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 308. 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
sampY	100.00%	0.00%	2019	1970

Data Distribution Top 20

Figure 306. Distribution of 20 most common values, from highest to lowest.

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: sampM

Table 309. Structural analysis of the table. Column name (Name); concise description 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	sampM
Description	Month of visit.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampM	1 - 2	6.7	1	5	7	8	12	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 0.0% )

Table 311. 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
sampM	100.00%	0.00%	6	1

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: sampD

Table 312. Structural analysis of the table. Column name (Name); concise description 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	sampD
Description	Day of visit.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampD	1 - 2	16.0	1	9	16	24	31	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	31 ( 0.0% )

Table 314. 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
sampD	100.00%	0.01%	29	31

Data Distribution Top 20

Figure 316. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 317. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 318. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 319. Visualization of completeness of the data in the column.

Uniqueness

Figure 320. Visualization of uniqueness of the data in the column.

Column: sampT

Table 315. Structural analysis of the table. Column name (Name); concise description 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	sampT
Description	Time of visit.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampT	1 - 2	11.8	0	8	12	16	23	435,964	0 ( 0.0% )	11,723 ( 2.7% )	0 ( 0.0% )	24 ( 0.0% )

Table 317. 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
sampT	100.00%	0.01%	13	4

Data Distribution Top 20

Figure 321. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 322. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 323. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 324. Visualization of completeness of the data in the column.

Uniqueness

Figure 325. Visualization of uniqueness of the data in the column.

Column: paramText

Table 318. Structural analysis of the table. Column name (Name); concise description 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	paramText
Description	Observation made at the hive. One of the following objects: Colony weight / Number of adult bees / Number of beebread cells / Number of cells honey / Number of cells nectar / Number of departing foragers / Number of eggs / Number of larvae / Number of other cells / Number of returning foragers / Number of worker brood cells
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
paramText	13 - 28	n/a	Colony weigh…	n/a	n/a	n/a	Number of wo…	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	11 ( 0.0% )

Table 320. 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
paramText	100.00%	0.00%	Colony weight	Number of adult bees

Data Distribution Top 20

Figure 326. Distribution of 20 most common values, from highest to lowest.

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: anMethText

Table 321. Structural analysis of the table. Column name (Name); concise description 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	anMethText
Description	Methods used to take the observations listed above. One of the following objects: Automatic recording / Comb inspectionVideo and image analysis
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
anMethText	15 - 24	n/a	Automatic re…	n/a	n/a	n/a	Video and im…	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 323. 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
anMethText	100.00%	0.00%	Automatic recording	Comb inspection

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: resVal

Table 324. Structural analysis of the table. Column name (Name); concise description 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	resVal
Description	Quantitative assessment of the observation. This value must be complete for all quantative assessments e.g. number of the different types of bees.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resVal	12 - 16	251.61278683000	0.0000000000	26.8	37.8	73	12,438.0000000000	435,964	0 ( 0.0% )	32,328 ( 7.4% )	0 ( 0.0% )	5,454 ( 1.3% )

Table 326. 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
resVal	100.00%	1.25%	0.0000000000	3164.0000000000

Continuous Data Distribution

Figure 332. Distribution of values in the column.

Outliers

Figure 333. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 334. Visualization of completeness of the data in the column.

Uniqueness

Figure 335. Visualization of uniqueness of the data in the column.

Column: resUnit

Table 327. Structural analysis of the table. Column name (Name); concise description 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	resUnit
Description	Unit of measurement for the values reported. This must be reported for all quantative assessments.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resUnit	5 - 5	n/a	G167A	n/a	n/a	n/a	G293A	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 329. 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
resUnit	100.00%	0.00%	G167A	G199A

Data Distribution Top 20

Figure 336. Distribution of 20 most common values, from highest to lowest.

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: resUnit_desc

Table 330. Structural analysis of the table. Column name (Name); concise description 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	resUnit_desc
Description	Content of column in efsa dcf catalogue: unit_term.termExtendedName
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resUnit_desc	6 - 9	n/a	Kilogram	n/a	n/a	n/a	comb cell	435,964	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 332. 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
resUnit_desc	100.00%	0.00%	Kilogram	animal

Data Distribution Top 20

Figure 339. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 340. Visualization of completeness of the data in the column.

Uniqueness

Figure 341. Visualization of uniqueness of the data in the column.

Column: resValUncert

Table 333. Structural analysis of the table. Column name (Name); concise description 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	resValUncert
Description	Indicate the expanded uncertainty value (usually 95% confidence interval) associated with the measurement expressed in the unit reported in the field 'Result unit'.
Data type	Unknown
Descriptor
Unit	n/a

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resValUncert	0 - 0	n/a		n/a	n/a	n/a		435,964	435,964 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 335. 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
resValUncert	0.00%	0.00%	n/a	n/a

Data Distribution Top 20

Figure 342. Distribution of 20 most common values, from highest to lowest.

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: resValUncertSD

Table 336. Structural analysis of the table. Column name (Name); concise description 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	resValUncertSD
Description	Standard deviation for the uncertainty of measurement.
Data type	Unknown
Descriptor
Unit	n/a

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resValUncertSD	0 - 0	n/a		n/a	n/a	n/a		435,964	435,964 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 338. 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
resValUncertSD	0.00%	0.00%	n/a	n/a

Data Distribution Top 20

Figure 345. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 346. Visualization of completeness of the data in the column.

Uniqueness

Figure 347. Visualization of uniqueness of the data in the column.

Column: resQualValue

Table 339. Structural analysis of the table. Column name (Name); concise description 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	resQualValue
Description	This value must be completed for the qualitative clinical sign observations. For each sign absence or presence should be indicated.
Data type	Unknown
Descriptor
Unit	n/a

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resQualValue	0 - 0	n/a		n/a	n/a	n/a		435,964	435,964 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 341. 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
resQualValue	0.00%	0.00%	n/a	n/a

Data Distribution Top 20

Figure 348. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 349. Visualization of completeness of the data in the column.

Uniqueness

Figure 350. Visualization of uniqueness of the data in the column.

Table: table_vi_ssd2

Column: resId

Table 342. Structural analysis of the table. Column name (Name); concise description 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	resId
Description	Identification code of the analytical result.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resId	4 - 7	n/a	Nos100a	n/a	n/a	n/a	Vir99	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1,861 ( 100.0% )

Table 344. 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
resId	100.00%	100.00%	Nos100a	Nos100a

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: sampUnitIds

Table 345. Structural analysis of the table. Column name (Name); concise description 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	sampUnitIds
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampUnitIds	28 - 50	n/a	sampHoldingI…	n/a	n/a	n/a	sampHoldingI…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	74 ( 4.0% )

Table 347. 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
sampUnitIds	100.00%	3.98%	sampHoldingId=Foulum$herdId=5	sampHoldingId=Flakkebjerg$herdId=7

Completeness

Figure 353. Visualization of completeness of the data in the column.

Uniqueness

Figure 354. Visualization of uniqueness of the data in the column.

Column: sampId

Table 348. Structural analysis of the table. Column name (Name); concise description 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	sampId
Description	Identifier of the sample 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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampId	3 - 6	n/a	No100a	n/a	n/a	n/a	Vi99	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1,685 ( 90.5% )

Table 350. 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
sampId	100.00%	90.54%	Ps323	No100a

Completeness

Figure 355. Visualization of completeness of the data in the column.

Uniqueness

Figure 356. Visualization of uniqueness of the data in the column.

Column: sampCountry

Table 351. Structural analysis of the table. Column name (Name); concise description 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	sampCountry
Description	Country where 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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampCountry	2 - 2	n/a	DK	n/a	n/a	n/a	PT	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )

Table 353. 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
sampCountry	100.00%	0.11%	DK	PT

Data Distribution Top 20

Figure 357. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 358. Visualization of completeness of the data in the column.

Uniqueness

Figure 359. Visualization of uniqueness of the data in the column.

Column: sampY

Table 354. Structural analysis of the table. Column name (Name); concise description 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	sampY
Description	Year of visit.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampY	4 - 4	2,019.4	2,019	2,019	2,019	2,020	2,020	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )

Table 356. 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
sampY	100.00%	0.11%	2019	2020

Data Distribution Top 20

Figure 360. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 361. Distribution of values in the column.

Outliers

Figure 362. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 363. Visualization of completeness of the data in the column.

Uniqueness

Figure 364. Visualization of uniqueness of the data in the column.

Column: sampM

Table 357. Structural analysis of the table. Column name (Name); concise description 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	sampM
Description	Month of visit.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampM	1 - 2	6.3	3	4	6	8	11	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	9 ( 0.5% )

Table 359. 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
sampM	100.00%	0.48%	5	11

Data Distribution Top 20

Figure 365. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 366. Distribution of values in the column.

Outliers

Figure 367. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 368. Visualization of completeness of the data in the column.

Uniqueness

Figure 369. Visualization of uniqueness of the data in the column.

Column: sampD

Table 360. Structural analysis of the table. Column name (Name); concise description 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	sampD
Description	Day of visit.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampD	1 - 2	16.7	1	10	15	25	31	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	30 ( 1.6% )

Table 362. 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
sampD	100.00%	1.61%	26	17

Data Distribution Top 20

Figure 370. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 371. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 372. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 373. Visualization of completeness of the data in the column.

Uniqueness

Figure 374. Visualization of uniqueness of the data in the column.

Column: sampEventInfo

Table 363. Structural analysis of the table. Column name (Name); concise description 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	sampEventInfo
Description	Time of sampling (sampT).
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampEventInfo	9 - 9	n/a	com=sampT	n/a	n/a	n/a	com=sampT	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 365. 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
sampEventInfo	100.00%	0.05%	com=sampT	com=sampT

Data Distribution Top 20

Figure 375. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 376. Visualization of completeness of the data in the column.

Uniqueness

Figure 377. Visualization of uniqueness of the data in the column.

Column: sampSize

Table 366. Structural analysis of the table. Column name (Name); concise description 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	sampSize
Description	Sample size.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampSize	12 - 14	152.87382577000	1.0000000000	20	20	322	779.0000000000	1,861	348 ( 18.7% )	0 ( 0.0% )	0 ( 0.0% )	114 ( 6.1% )

Table 368. 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
sampSize	81.30%	6.13%	20.0000000000	273.0000000000

Continuous Data Distribution

Figure 378. Distribution of values in the column.

Outliers

Figure 379. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 380. Visualization of completeness of the data in the column.

Uniqueness

Figure 381. Visualization of uniqueness of the data in the column.

Column: sampSizeUnit

Table 369. Structural analysis of the table. Column name (Name); concise description 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	sampSizeUnit
Description	Unit in which the size/amount of the sample is expressed.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampSizeUnit	0 - 5	n/a	G148A	n/a	n/a	n/a	G297A	1,861	348 ( 18.7% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.3% )

Table 371. 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
sampSizeUnit	81.30%	0.32%	G155A	G148A

Data Distribution Top 20

Figure 382. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 383. Visualization of completeness of the data in the column.

Uniqueness

Figure 384. Visualization of uniqueness of the data in the column.

Column: sampSizeUnit_desc

Table 372. Structural analysis of the table. Column name (Name); concise description 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	sampSizeUnit_desc
Description	Content of the column in the efsa dcf_catalogue: unit_term.termExtendedName
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampSizeUnit_desc	1 - 9	n/a	.	n/a	n/a	n/a	animal	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.3% )

Table 374. 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
sampSizeUnit_desc	100.00%	0.32%	Milligram	Gram

Data Distribution Top 20

Figure 385. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 386. Visualization of completeness of the data in the column.

Uniqueness

Figure 387. Visualization of uniqueness of the data in the column.

Column: sampMatCode

Table 375. Structural analysis of the table. Column name (Name); concise description 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	sampMatCode
Description	Matrix 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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampMatCode	5 - 15	n/a	A033P	n/a	n/a	n/a	A16XE#F01.A0…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )

Table 377. 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
sampMatCode	100.00%	0.38%	A16XE#F01.A04TJ	A16XD#F01.A04TJ

Data Distribution Top 20

Figure 388. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 389. Visualization of completeness of the data in the column.

Uniqueness

Figure 390. Visualization of uniqueness of the data in the column.

Column: sampMatText

Table 378. Structural analysis of the table. Column name (Name); concise description 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	sampMatText
Description	Further details on the matrix 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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampMatText	3 - 19	n/a	Adult bees	n/a	n/a	n/a	Wax	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	10 ( 0.5% )

Table 380. 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
sampMatText	100.00%	0.54%	Adult bees	Nectar from flowers

Data Distribution Top 20

Figure 391. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 392. Visualization of completeness of the data in the column.

Uniqueness

Figure 393. Visualization of uniqueness of the data in the column.

Column: analysisY

Table 381. Structural analysis of the table. Column name (Name); concise description 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	analysisY
Description	Year when the analysis was completed.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
analysisY	4 - 4	2,019.5	2,019	2,019	2,020	2,020	2,020	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )

Table 383. 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
analysisY	100.00%	0.11%	2020	2019

Data Distribution Top 20

Figure 394. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 395. Distribution of values in the column.

Outliers

Figure 396. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 397. Visualization of completeness of the data in the column.

Uniqueness

Figure 398. Visualization of uniqueness of the data in the column.

Column: analysisM

Table 384. Structural analysis of the table. Column name (Name); concise description 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	analysisM
Description	Month when the analysis was completed.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
analysisM	1 - 2	9.0	1	7	10	12	12	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 0.6% )

Table 386. 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
analysisM	100.00%	0.64%	12	5

Data Distribution Top 20

Figure 399. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 400. Distribution of values in the column.

Outliers

Figure 401. Visualization of median, min, max, and outliers in the column.

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: analysisD

Table 387. Structural analysis of the table. Column name (Name); concise description 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	analysisD
Description	day when the analysis was completed.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
analysisD	1 - 2	17.1	1	11	16	29	31	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	28 ( 1.5% )

Table 389. 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
analysisD	100.00%	1.50%	30	28

Data Distribution Top 20

Figure 404. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 405. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 406. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 407. Visualization of completeness of the data in the column.

Uniqueness

Figure 408. Visualization of uniqueness of the data in the column.

Column: anPortSeq

Table 390. Structural analysis of the table. Column name (Name); concise description 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	anPortSeq
Description	Sequence number (e.g. 1, 2, 3) for samples where the analysis is replicated.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
anPortSeq	1 - 1	1.0	1	1	1	1	2	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )

Table 392. 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
anPortSeq	100.00%	0.11%	1	2

Data Distribution Top 20

Figure 409. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 410. Distribution of values in the column.

Outliers

Figure 411. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 412. Visualization of completeness of the data in the column.

Uniqueness

Figure 413. Visualization of uniqueness of the data in the column.

Column: labId

Table 393. Structural analysis of the table. Column name (Name); concise description 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	labId
Description	Identification code of the laboratory.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
labId	5 - 10	n/a	AU_DK	n/a	n/a	n/a	UC_PT	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 0.2% )

Table 395. 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
labId	100.00%	0.21%	AU_DK	UC_PT

Data Distribution Top 20

Figure 414. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 415. Visualization of completeness of the data in the column.

Uniqueness

Figure 416. Visualization of uniqueness of the data in the column.

Column: labAccred

Table 396. Structural analysis of the table. Column name (Name); concise description 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	labAccred
Description	Accreditation status of the laboratory.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
labAccred	5 - 5	n/a	L003A	n/a	n/a	n/a	L003A	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 398. 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
labAccred	100.00%	0.05%	L003A	L003A

Data Distribution Top 20

Figure 417. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 418. Visualization of completeness of the data in the column.

Uniqueness

Figure 419. Visualization of uniqueness of the data in the column.

Column: labAccred_desc

Table 399. Structural analysis of the table. Column name (Name); concise description 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	labAccred_desc
Description	Content of column in the efsa dcf catalogue: labacc_term.termExtendedName
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
labAccred_desc	4 - 4	n/a	None	n/a	n/a	n/a	None	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 401. 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
labAccred_desc	100.00%	0.05%	None	None

Data Distribution Top 20

Figure 420. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 421. Visualization of completeness of the data in the column.

Uniqueness

Figure 422. Visualization of uniqueness of the data in the column.

Column: paramCode

Table 402. Structural analysis of the table. Column name (Name); concise description 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	paramCode
Description	Content of column efsa_dcf_catalogue.labacc_term.termExtendedName.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
paramCode	15 - 15	n/a	RF-00000019-…	n/a	n/a	n/a	RF-XXXX-XXX-…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	30 ( 1.6% )

Table 404. 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
paramCode	100.00%	1.61%	RF-XXXX-XXX-XXX	RF-0035-001-PPP

Data Distribution Top 20

Figure 423. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 424. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 425. Visualization of completeness of the data in the column.

Uniqueness

Figure 426. Visualization of uniqueness of the data in the column.

Column: paramCode_desc

Table 405. Structural analysis of the table. Column name (Name); concise description 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	paramCode_desc
Description	Content of column efsa_dcf_catalogue.param_term.termExtendedName.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
paramCode_desc	6 - 95	n/a	2,4-Dichloro…	n/a	n/a	n/a	Varroa	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	30 ( 1.6% )

Table 407. 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
paramCode_desc	100.00%	1.61%	Not in list	Azoxystrobin

Data Distribution Top 20

Figure 427. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 428. Distribution of 20 least common values, from lowest to highest.

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: paramText

Table 408. Structural analysis of the table. Column name (Name); concise description 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	paramText
Description	Plant species for pollen samples or further details on the pesticide residue, pathogen or nutrient.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
paramText	0 - 24	n/a	24-D	n/a	n/a	n/a	Vicia	1,861	1,339 ( 72.0% )	0 ( 0.0% )	0 ( 0.0% )	79 ( 4.2% )

Table 410. 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
paramText	28.05%	4.25%	n/a	Crategus

Completeness

Figure 431. Visualization of completeness of the data in the column.

Uniqueness

Figure 432. Visualization of uniqueness of the data in the column.

Column: anMethRefId

Table 411. Structural analysis of the table. Column name (Name); concise description 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	anMethRefId
Description	Identifier of the method used in the laboratory.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
anMethRefId	3 - 31	n/a	GC-MS/MS	n/a	n/a	n/a	Soapy water…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )

Table 413. 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
anMethRefId	100.00%	0.38%	QPCR for (R/D)NA quantification	Mite down-fall

Data Distribution Top 20

Figure 433. Distribution of 20 most common values, from highest to lowest.

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: anMethCode

Table 414. Structural analysis of the table. Column name (Name); concise description 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	anMethCode
Description	Analytical method used.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
anMethCode	0 - 5	n/a	F086A	n/a	n/a	n/a	F701A	1,861	41 ( 2.2% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )

Table 416. 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
anMethCode	97.80%	0.38%	F087A	F701A

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: anMethCode_desc

Table 417. Structural analysis of the table. Column name (Name); concise description 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	anMethCode_desc
Description	Content of column in efsa dcf catalogue: anlymd_term.termExtendedName
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
anMethCode_desc	1 - 45	n/a	.	n/a	n/a	n/a	Soapy water…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )

Table 419. 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
anMethCode_desc	100.00%	0.38%	Quantitative polymerase chain reaction (QPCR)	Mite fall

Data Distribution Top 20

Figure 439. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 440. Visualization of completeness of the data in the column.

Uniqueness

Figure 441. Visualization of uniqueness of the data in the column.

Column: anMethText

Table 420. Structural analysis of the table. Column name (Name); concise description 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	anMethText
Description	Further details on the analytical method.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
anMethText	0 - 31	n/a	HPLC-MS/MS	n/a	n/a	n/a	Species iden…	1,861	41 ( 2.2% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.4% )

Table 422. 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
anMethText	97.80%	0.38%	QPCR for (R/D)NA quantification	Mite down-fall in 24h

Data Distribution Top 20

Figure 442. Distribution of 20 most common values, from highest to lowest.

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: resUnit

Table 423. Structural analysis of the table. Column name (Name); concise description 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	resUnit
Description	Unit of measurement for the value in resLOD, resLOQ, resVal.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resUnit	0 - 5	n/a	G061A	n/a	n/a	n/a	G295A	1,861	88 ( 4.7% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.3% )

Table 425. 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
resUnit	95.27%	0.27%	G295A	n/a

Data Distribution Top 20

Figure 445. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 446. Visualization of completeness of the data in the column.

Uniqueness

Figure 447. Visualization of uniqueness of the data in the column.

Column: resUnit_desc

Table 426. Structural analysis of the table. Column name (Name); concise description 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	resUnit_desc
Description	Content of column in efsa dcf catalogue: unit_term.termExtendedName.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resUnit_desc	1 - 25	n/a	.	n/a	n/a	n/a	number per 1…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.3% )

Table 428. 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
resUnit_desc	100.00%	0.27%	Log10 of count	.

Data Distribution Top 20

Figure 448. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 449. Visualization of completeness of the data in the column.

Uniqueness

Figure 450. Visualization of uniqueness of the data in the column.

Column: resLOD

Table 429. Structural analysis of the table. Column name (Name); concise description 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	resLOD
Description	Limit of detection.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resLOD	12 - 12	0.00150868000	0.0000000000	0	0	0.005	0.0050000000	1,861	709 ( 38.1% )	804 ( 43.2% )	0 ( 0.0% )	4 ( 0.2% )

Table 431. 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
resLOD	61.90%	0.21%	0.0000000000	0.0030000000

Data Distribution Top 20

Figure 451. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 452. Distribution of values in the column.

Completeness

Figure 453. Visualization of completeness of the data in the column.

Uniqueness

Figure 454. Visualization of uniqueness of the data in the column.

Column: resLOQ

Table 432. Structural analysis of the table. Column name (Name); concise description 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	resLOQ
Description	Limit of quantification.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resLOQ	12 - 12	0.00302083000	0.0000000000	0	0	0.01	0.0100000000	1,861	709 ( 38.1% )	804 ( 43.2% )	0 ( 0.0% )	3 ( 0.2% )

Table 434. 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
resLOQ	61.90%	0.16%	0.0000000000	0.0100000000

Data Distribution Top 20

Figure 455. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 456. Distribution of values in the column.

Completeness

Figure 457. Visualization of completeness of the data in the column.

Uniqueness

Figure 458. Visualization of uniqueness of the data in the column.

Column: resVal

Table 435. Structural analysis of the table. Column name (Name); concise description 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	resVal
Description	Result of the analytical measurement.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resVal	12 - 14	8.05920338000	0.0000000000	0.0955	2.5	6.55	110.0000000000	1,861	268 ( 14.4% )	252 ( 13.5% )	0 ( 0.0% )	377 ( 20.3% )

Table 437. 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
resVal	85.60%	20.26%	n/a	28.8000000000

Continuous Data Distribution

Figure 459. Distribution of values in the column.

Outliers

Figure 460. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 461. Visualization of completeness of the data in the column.

Uniqueness

Figure 462. Visualization of uniqueness of the data in the column.

Column: resValRec

Table 438. Structural analysis of the table. Column name (Name); concise description 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	resValRec
Description	Recovery value associated with the concentration measurement.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resValRec	0 - 0	n/a		n/a	n/a	n/a		1,861	1,861 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 440. 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
resValRec	0.00%	0.05%	n/a	n/a

Data Distribution Top 20

Figure 463. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 464. Visualization of completeness of the data in the column.

Uniqueness

Figure 465. Visualization of uniqueness of the data in the column.

Column: resValRecCorr

Table 441. Structural analysis of the table. Column name (Name); concise description 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	resValRecCorr
Description	Indicates if the result was corrected for recovery.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resValRecCorr	0 - 0	n/a		n/a	n/a	n/a		1,861	1,861 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 443. 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
resValRecCorr	0.00%	0.05%	n/a	n/a

Data Distribution Top 20

Figure 466. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 467. Visualization of completeness of the data in the column.

Uniqueness

Figure 468. Visualization of uniqueness of the data in the column.

Column: exprResType

Table 444. Structural analysis of the table. Column name (Name); concise description 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	exprResType
Description	Indicates how the result is expressed (e.g. whole weight).
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
exprResType	0 - 5	n/a	B001A	n/a	n/a	n/a	B001A	1,861	1,513 ( 81.3% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )

Table 446. 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
exprResType	18.70%	0.11%	n/a	B001A

Data Distribution Top 20

Figure 469. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 470. Visualization of completeness of the data in the column.

Uniqueness

Figure 471. Visualization of uniqueness of the data in the column.

Column: exprResType_desc

Table 447. Structural analysis of the table. Column name (Name); concise description 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	exprResType_desc
Description	Content of column in efsa_dcf_catalogue: exprres_term.termExtendedName
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
exprResType_desc	1 - 12	n/a	.	n/a	n/a	n/a	Whole weight	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )

Table 449. 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
exprResType_desc	100.00%	0.11%	.	Whole weight

Data Distribution Top 20

Figure 472. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 473. Visualization of completeness of the data in the column.

Uniqueness

Figure 474. Visualization of uniqueness of the data in the column.

Column: resQualValue

Table 450. Structural analysis of the table. Column name (Name); concise description 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	resQualValue
Description	Indicates if the qualitative evaluation of the result is positive or negative.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resQualValue	0 - 3	n/a	NEG	n/a	n/a	n/a	POS	1,861	994 ( 53.4% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.2% )

Table 452. 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
resQualValue	46.59%	0.16%	n/a	NEG

Data Distribution Top 20

Figure 475. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 476. Visualization of completeness of the data in the column.

Uniqueness

Figure 477. Visualization of uniqueness of the data in the column.

Column: resType

Table 453. Structural analysis of the table. Column name (Name); concise description 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	resType
Description	Type of result.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resType	3 - 3	n/a	AWR	n/a	n/a	n/a	VAL	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.3% )

Table 455. 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
resType	100.00%	0.27%	VAL	AWR

Data Distribution Top 20

Figure 478. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 479. Visualization of completeness of the data in the column.

Uniqueness

Figure 480. Visualization of uniqueness of the data in the column.

Column: resType_desc

Table 456. Structural analysis of the table. Column name (Name); concise description 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	resType_desc
Description	Content of column in efsa_dcf_catalogue: valtyp_term.termExtendedName
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resType_desc	15 - 48	n/a	Non Detected…	n/a	n/a	n/a	Value above…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.3% )

Table 458. 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
resType_desc	100.00%	0.27%	Numerical Value	Value above the upper limit of the working range

Data Distribution Top 20

Figure 481. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 482. Visualization of completeness of the data in the column.

Uniqueness

Figure 483. Visualization of uniqueness of the data in the column.

Column: resValUncert

Table 459. Structural analysis of the table. Column name (Name); concise description 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	resValUncert
Description	Expanded uncertainty value.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resValUncert	0 - 0	n/a		n/a	n/a	n/a		1,861	1,861 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 461. 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
resValUncert	0.00%	0.05%	n/a	n/a

Data Distribution Top 20

Figure 484. Distribution of 20 most common values, from highest to lowest.

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: resValUncertSD

Table 462. Structural analysis of the table. Column name (Name); concise description 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	resValUncertSD
Description	Standard deviation of the uncertainty measurement.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
resValUncertSD	0 - 0	n/a		n/a	n/a	n/a		1,861	1,861 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 464. 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
resValUncertSD	0.00%	0.05%	n/a	n/a

Data Distribution Top 20

Figure 487. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 488. Visualization of completeness of the data in the column.

Uniqueness

Figure 489. Visualization of uniqueness of the data in the column.

Column: sampHoldingId

Table 465. Structural analysis of the table. Column name (Name); concise description 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	sampHoldingId
Description	Identifier of the site (holdingId in SSD2), obtained from sampUnitIds.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sampHoldingId	6 - 28	n/a	Flakkebjerg	n/a	n/a	n/a	Serra da Lou…	1,861	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	8 ( 0.4% )

Table 467. 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
sampHoldingId	100.00%	0.43%	Foulum	Serra da Lousa+Idanha-a-Nova

Data Distribution Top 20

Figure 490. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 491. Visualization of completeness of the data in the column.

Uniqueness

Figure 492. Visualization of uniqueness of the data in the column.

Column: herdId

Table 468. Structural analysis of the table. Column name (Name); concise description 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	herdId
Description	Identifier of the hive (herdId), obtained from sampUnitIds.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
herdId	1 - 2	5.1	0	2	4	8	16	1,861	165 ( 8.9% )	40 ( 2.1% )	0 ( 0.0% )	17 ( 0.9% )

Table 470. 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
herdId	91.13%	0.91%	1	14

Data Distribution Top 20

Figure 493. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 494. Distribution of values in the column.

Outliers

Figure 495. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 496. Visualization of completeness of the data in the column.

Uniqueness

Figure 497. Visualization of uniqueness of the data in the column.

Table: table_vii_observation_colony

Column: observationId

Table 471. Structural analysis of the table. Column name (Name); concise description 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	observationId
Description	Unique identifier of the observation of the waggle dance performed at a certain time by one individual.
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 472. Structural analysis of the table. Column name (Name); concise description 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
observationId	3 - 4	1,248.7	779	972.5	1,165	1,604.5	1,796	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	769 ( 100.0% )

Table 473. 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
observationId	100.00%	100.00%	1000	1000

Continuous Data Distribution

Figure 498. Distribution of values in the column.

Outliers

Figure 499. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 500. Visualization of completeness of the data in the column.

Uniqueness

Figure 501. Visualization of uniqueness of the data in the column.

Column: dancerId

Table 474. Structural analysis of the table. Column name (Name); concise description 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	dancerId
Description	Unique identifier of the bee performing the waggle dance.
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 475. Structural analysis of the table. Column name (Name); concise description 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
dancerId	5 - 5	54,946.0	11,177	32,387	54,619	77,308.5	99,714	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	767 ( 99.7% )

Table 476. 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
dancerId	100.00%	99.74%	85468	95352

Continuous Data Distribution

Figure 502. Distribution of values in the column.

Outliers

Figure 503. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 504. Visualization of completeness of the data in the column.

Uniqueness

Figure 505. Visualization of uniqueness of the data in the column.

Column: siteNo

Table 477. Structural analysis of the table. Column name (Name); concise description 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	siteNo
Description	Identifier for the site.
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 478. Structural analysis of the table. Column name (Name); concise description 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
siteNo	1 - 1	2.8	1	1	1	6	6	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.4% )

Table 479. 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
siteNo	100.00%	0.39%	1	2

Data Distribution Top 20

Figure 506. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 507. Distribution of values in the column.

Outliers

Figure 508. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 509. Visualization of completeness of the data in the column.

Uniqueness

Figure 510. Visualization of uniqueness of the data in the column.

Column: hiveNo

Table 480. Structural analysis of the table. Column name (Name); concise description 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	hiveNo
Description	Identifier for the observation hive.
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 481. Structural analysis of the table. Column name (Name); concise description 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
hiveNo	1 - 2	12.1	8	8	8	20	20	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.3% )

Table 482. 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
hiveNo	100.00%	0.26%	8	20

Data Distribution Top 20

Figure 511. Distribution of 20 most common values, from highest to lowest.

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: sampY

Table 483. Structural analysis of the table. Column name (Name); concise description 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	sampY
Description	Year of visit.
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 484. Structural analysis of the table. Column name (Name); concise description 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
sampY	4 - 4	2,019.0	2,018	2,019	2,019	2,019	2,019	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.3% )

Table 485. 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
sampY	100.00%	0.26%	2019	2018

Data Distribution Top 20

Figure 516. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 517. Distribution of values in the column.

Outliers

Figure 518. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 519. Visualization of completeness of the data in the column.

Uniqueness

Figure 520. Visualization of uniqueness of the data in the column.

Column: sampM

Table 486. Structural analysis of the table. Column name (Name); concise description 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	sampM
Description	Month of visit.
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 487. Structural analysis of the table. Column name (Name); concise description 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
sampM	1 - 1	5.4	3	4	5	7	8	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.8% )

Table 488. 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
sampM	100.00%	0.78%	7	6

Data Distribution Top 20

Figure 521. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 522. Distribution of values in the column.

Outliers

Figure 523. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 524. Visualization of completeness of the data in the column.

Uniqueness

Figure 525. Visualization of uniqueness of the data in the column.

Column: sampD

Table 489. Structural analysis of the table. Column name (Name); concise description 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	sampD
Description	Day of visit.
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 490. Structural analysis of the table. Column name (Name); concise description 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
sampD	1 - 2	14.0	2	9	11	20	30	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	13 ( 1.7% )

Table 491. 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
sampD	100.00%	1.69%	11	14

Data Distribution Top 20

Figure 526. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 527. Distribution of values in the column.

Outliers

Figure 528. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 529. Visualization of completeness of the data in the column.

Uniqueness

Figure 530. Visualization of uniqueness of the data in the column.

Column: sampT

Table 492. Structural analysis of the table. Column name (Name); concise description 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	sampT
Description	Time of visit.
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 493. Structural analysis of the table. Column name (Name); concise description 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
sampT	2 - 2	12.7	11	12	12	13	15	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 0.7% )

Table 494. 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
sampT	100.00%	0.65%	12	11

Data Distribution Top 20

Figure 531. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 532. Distribution of values in the column.

Outliers

Figure 533. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 534. Visualization of completeness of the data in the column.

Uniqueness

Figure 535. Visualization of uniqueness of the data in the column.

Column: waggleDuration

Table 495. Structural analysis of the table. Column name (Name); concise description 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	waggleDuration
Description	Duration of waggle dance in seconds.
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	s

Table 496. Structural analysis of the table. Column name (Name); concise description 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
waggleDuration	12 - 12	1.46051300000	0.2090000000	1.0555	1.392	1.8	6.1380000000	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	399 ( 51.9% )

Table 497. 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
waggleDuration	100.00%	51.89%	2.0000000000	2.3200000000

Continuous Data Distribution

Figure 536. Distribution of values in the column.

Outliers

Figure 537. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 538. Visualization of completeness of the data in the column.

Uniqueness

Figure 539. Visualization of uniqueness of the data in the column.

Column: waggleLength

Table 498. Structural analysis of the table. Column name (Name); concise description 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	waggleLength
Description	Radius of waggle dance in mm.
Data type	Unknown
Descriptor
Unit	mm

Table 499. Structural analysis of the table. Column name (Name); concise description 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
waggleLength	0 - 0	n/a		n/a	n/a	n/a		769	769 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 500. 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
waggleLength	0.00%	0.13%	n/a	n/a

Data Distribution Top 20

Figure 540. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 541. Visualization of completeness of the data in the column.

Uniqueness

Figure 542. Visualization of uniqueness of the data in the column.

Column: waggleOrientation

Table 501. Structural analysis of the table. Column name (Name); concise description 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	waggleOrientation
Description	Orientation in degrees.
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	°

Table 502. Structural analysis of the table. Column name (Name); concise description 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
waggleOrientation	12 - 13	-0.52104522000	-6.2133866670	-2.25115957	0.04360624	1.59920471	5.9164443800	769	0 ( 0.0% )	2 ( 0.3% )	0 ( 0.0% )	665 ( 86.5% )

Table 503. 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
waggleOrientation	100.00%	86.48%	1.7658119360	-0.1528245470

Continuous Data Distribution

Figure 543. Distribution of values in the column.

Outliers

Figure 544. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 545. Visualization of completeness of the data in the column.

Uniqueness

Figure 546. Visualization of uniqueness of the data in the column.

Column: waggleDirection

Table 504. Structural analysis of the table. Column name (Name); concise description 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	waggleDirection
Description	Direction in degrees.
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	°

Table 505. Structural analysis of the table. Column name (Name); concise description 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
waggleDirection	12 - 13	3.37559357000	-3.1146163940	0.60469758	3.14302945	5.30914854	9.1990213390	769	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	752 ( 97.8% )

Table 506. 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
waggleDirection	100.00%	97.79%	0.2713881730	3.2673008440

Continuous Data Distribution

Figure 547. Distribution of values in the column.

Outliers

Figure 548. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 549. Visualization of completeness of the data in the column.

Uniqueness

Figure 550. Visualization of uniqueness of the data in the column.

Column: pollenColor

Table 507. Structural analysis of the table. Column name (Name); concise description 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	pollenColor
Description	Classification of pollen.
Data type	Unknown
Descriptor
Unit	n/a

Table 508. Structural analysis of the table. Column name (Name); concise description 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
pollenColor	0 - 0	n/a		n/a	n/a	n/a		769	769 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 509. 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
pollenColor	0.00%	0.13%	n/a	n/a

Data Distribution Top 20

Figure 551. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 552. Visualization of completeness of the data in the column.

Uniqueness

Figure 553. Visualization of uniqueness of the data in the column.

Column: pollenAbundance

Table 510. Structural analysis of the table. Column name (Name); concise description 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	pollenAbundance
Description	Abundance of pollen classified by colour.
Data type	Unknown
Descriptor
Unit	n/a

Table 511. Structural analysis of the table. Column name (Name); concise description 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
pollenAbundance	0 - 0	n/a		n/a	n/a	n/a		769	769 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.1% )

Table 512. 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
pollenAbundance	0.00%	0.13%	n/a	n/a

Data Distribution Top 20

Figure 554. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 555. Visualization of completeness of the data in the column.

Uniqueness

Figure 556. Visualization of uniqueness of the data in the column.