, ,
• •

Dataset Report

Unique identifier:	DEPAB69.0.0
Title:	DEPAB2
Long title:	DEPAB2 : Pollen, pesticides and landscape
Status:	Quality Validated
Current Version:	v. 1.0
Published:	2024-04-24
Reviewed by:
Citation proposal:	EU Pollinator Hub, Gilles San Martin 2024 Report of dataset DEPAB2, v. 1.0 [DEPAB69.0.0]. EU Pollinator Hub. [2025-07-02] 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 2024-04-24.

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	2024-04-24 15:04:00	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	lib_pesticides.csv	CSV - Comma seperated values	Yes	No	2024-04-08 11:04:30	763	5.88 KiB
2	pollen_dates.csv	CSV - Comma seperated values	Yes	No	2024-04-08 09:04:30	660	4.39 KiB
3	pollen_pesticides.csv	CSV - Comma seperated values	Yes	No	2024-04-08 07:04:18	3,111	6.64 KiB
4	agreation.csv	CSV - Comma seperated values	Yes	No	2024-04-08 09:04:54	30,576	493.91 KiB
5	DEPAB1_data.csv	CSV - Comma seperated values	Yes	No	2024-04-08 10:04:48	327,540	1.86 MiB
6	lib_pollen.csv	CSV - Comma seperated values	Yes	No	2024-07-05 13:07:01	572	3.83 KiB
7	Approximate_coordinates.csv	CSV - Comma seperated values	Yes	No	2024-04-08 14:04:57	132	760.00 B

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	lib_pesticides	This is a reference library of the pesticides measured in different matrices of the colonies. It can be used to…
2	pollen_dates	In this dataset, each sample (sample_ID) can correspond to several sampling dates that have been pooled together in one unique…
3	pollen_pesticides	Pesticides analyses from the pollen samples. Two values = 0 (Imidacloprid 35A APRI 2012 Sample_ID = 47 and thiamethoxam 21A…
4	Aggregation	List of the cultures for which the 3 main pesticides found are athorized in Belgium. We used this information to…
5	DEPAB1_data	This dataset contains Colony health, pesticides and virus content data for the first part of the project. These data have…
6	lib_pollen	This is a reference library of pollen types with information about their size and taxonomic position. NB : the volume…
7	coordinates	Geographic coordinates of the apiaries (IDApiary) in longitude-latitude, WGS84. The coordinates have been rounded here to two decimals to protect…

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

Parameter	Content
interactions.single.uid	DEPAB69.0.0
Title	DEPAB2
Long title	DEPAB2 : Pollen, pesticides and landscape
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/DEPAB69.0.0
interactions.single.section-details.licence	CC BY 4.0
DOI	https://doi.org/10.1038/s41598-017-03467-5
Created	2023-11-15
Published	2024-04-24
Contact	g.sanmartin@cra.wallonie.be
Keywords	exposure, landscape, pesticides, pollen
Data collection years	2011-2012
Regions, the data was collected in	Région wallonne
Abstract	DEPAB2 : Pollen, pesticides and landscape Honey bees pollen samples from Belgium, their species composition identified with classical microscopy, their pesticides content and the landscape around the apiaries in which they have been collected. Data from a project called DEPAB2 in Belgium. Dataset related to the following paper : https://www.nature.com/articles/s41598-017-03467-5 Simon-Delso, N., San Martin, G., Bruneau, E., Delcourt, C., Hautier, L., 2017. The challenges of predicting pesticide exposure of honey bees at landscape level. Scientific Reports 7, 3801. doi:10.1038/s41598-017-03467-5

Table 5. Standardised metadata of the data provider EU Pollinator Hub. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Name	EU Pollinator Hub
Url
Acronym	EUPH
IRI	https://app.pollinatorhub.eu/data-providers/euph
Address
Country	Belgium
Contact	https://www.linkedin.com/company/beelife-european-beekeeping-coordination/ pollinatorhub.eu
Description	The EU Pollinator Hub (EUPH) is a data hub related to pollinators, which is provided by the European Food Safety Authority (EFSA).

Table 6. Standardised metadata of the data provider Gilles San Martin. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Name	Gilles San Martin
Url
Acronym	GSM
IRI	https://app.pollinatorhub.eu/data-providers/gilles-san-martin-2
Contact	g.sanmartin@cra.wallonie.be Walloon Agricultural Research Centre (CRA-W) rue de Liroux 2 5030 Gembloux Belgium https://twitter.com/GillesSanMartin
Description

Tables

lib_pesticides

Table 7. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	DEPAB69.LBPST95.0
Name	lib_pesticides
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/DEPAB69.LBPST95.0
Table Type	File
Licence	CC BY 4.0
Description	This is a reference library of the pesticides measured in different matrices of the colonies. It can be used to know the LOQs of the analyses and to know the full list of pesticides that were included in the multiresidue analyses (cfr table pollen_pesticides). It has been used in a previous project called "DEPAB1" and then completed with the few additional chemicals that were analysed for the pollen data only (DEPAB2 project). So in this dataset (containing only the pollen data), we have only measured the pesticides that have a non missing value in the LOQ_Pollen column The Wax, Beebread and Honey have been analyzed in the same colonies (DEPAB1) while the pollen samples have been analysed for a slightly different set of colonies (DEPAB2). The analytical methods used for the pollen samples had a much lower LOQ because we wanted to be able to detect very small quantities of neonicotinoids.

This is a reference library of the pesticides measured in different matrices of the colonies.

It can be used to know the LOQs of the analyses and to know the full list of pesticides that were included in the multiresidue analyses (cfr table pollen_pesticides).

It has been used in a previous project called "DEPAB1" and then completed with the few additional chemicals that were analysed for the pollen data only (DEPAB2 project). So in this dataset (containing only the pollen data), we have only measured the pesticides that have a non missing value in the LOQ_Pollen column

The Wax, Beebread and Honey have been analyzed in the same colonies (DEPAB1) while the pollen samples have been analysed for a slightly different set of colonies (DEPAB2).
The analytical methods used for the pollen samples had a much lower LOQ because we wanted to be able to detect very small quantities of neonicotinoids.

Metadata

n/a

Table 8. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Datatype	Descriptor	Unit
substance	String	Text [0.0.TEXTA315]	n/a
fullname	String	Text [0.0.TEXTA315]	n/a
type	String	Text [0.0.TEXTA315]	n/a
LOQ_Wax	Decimal number	pms:limitOfQuantification [0.0.LMTFQ434]	n/a
LOQ_Beebread	Decimal number	pms:limitOfQuantification [0.0.LMTFQ434]	n/a
LOQ_Honey	Decimal number	pms:limitOfQuantification [0.0.LMTFQ434]	n/a
LOQ_Pollen	Decimal number	pms:limitOfQuantification [0.0.LMTFQ434]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 9. 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
substance	3 - 40	n/a	2.4.d	n/a	n/a	n/a	zoxamide	109	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	109 ( 100.0% )
fullname	3 - 20	n/a	2,4-D	n/a	n/a	n/a	Zoxamide	109	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	109 ( 100.0% )
type	1 - 2	n/a	A	n/a	n/a	n/a	S	109	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 5.5% )
LOQ_Wax	1 - 3	0.13	0.1	0.1	0.1	0.1	2	109	10 ( 9.2% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 4.6% )
LOQ_Beebread	1 - 3	0.13	0.1	0.1	0.1	0.1	2	109	16 ( 14.7% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 4.6% )
LOQ_Honey	3 - 5	0.0105	0.005	0.005	0.005	0.01	0.2	109	13 ( 11.9% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 5.5% )
LOQ_Pollen	5 - 7	0.005641	0.00075	0.005	0.0075	0.0075	0.0075	109	65 ( 59.6% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 6.4% )

Quality measures

Table 10. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
substance	100.00%	100.00%	2.4.d	2.4.d
fullname	100.00%	100.00%	2,4-D	2,4-D
type	100.00%	5.50%	I	S
LOQ_Wax	90.83%	4.59%	0.1	0.5
LOQ_Beebread	85.32%	4.59%	0.1	0.5
LOQ_Honey	88.07%	5.50%	0.005	0.2
LOQ_Pollen	40.37%	6.42%	n/a	0.003

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

pollen_dates

Table 11. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	DEPAB69.PLLND97.0
Name	pollen_dates
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/DEPAB69.PLLND97.0
Table Type	File
Licence	CC BY 4.0
Description	In this dataset, each sample (sample_ID) can correspond to several sampling dates that have been pooled together in one unique sample for the lab analysis This table can be used to calculate how many sampling dates are involved for each sample as this could have an influence on some characteristics of the data (like pollen diversity).

In this dataset, each sample (sample_ID) can correspond to several sampling dates that have been pooled together in one unique sample for the lab analysis

This table can be used to calculate how many sampling dates are involved for each sample as this could have an influence on some characteristics of the data (like pollen diversity).

Metadata

n/a

Table 12. Structural analysis of the table. Column name (Name); concise description of the 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
Sample_ID	Sample ID	Integer number	Integer [0.0.NTGER313]	n/a
IDApiary	Apiary ID	String	Text [0.0.TEXTA315]	n/a
IDColony	Colony ID	String	Text [0.0.TEXTA315]	n/a
Date	Date	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 13. 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
Sample_ID	1 - 2	46.3	1	21.5	46	68.5	91	165	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	91 ( 55.2% )
IDApiary	2 - 3	n/a	11A	n/a	n/a	n/a	8A	165	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	40 ( 24.2% )
IDColony	2 - 4	n/a	11B1	n/a	n/a	n/a	NA	165	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 3.0% )
Date	10 - 10	n/a	2011-07-21	n/a	n/a	n/a	2012-04-01	165	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	65 ( 39.4% )

Quality measures

Table 14. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sample_ID	100.00%	55.15%	20	4
IDApiary	100.00%	24.24%	21A	20A
IDColony	100.00%	3.03%	NA	27A1
Date	100.00%	39.39%	2011-08-30	2011-08-07

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

pollen_pesticides

Table 15. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	DEPAB69.PLLNP98.0
Name	pollen_pesticides
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/DEPAB69.PLLNP98.0
Table Type	File
Licence	CC BY 4.0
Description	Pesticides analyses from the pollen samples. Two values = 0 (Imidacloprid 35A APRI 2012 `Sample_ID` = 47 and thiamethoxam 21A AUG 2011, `Sample_ID` = 17) : these Pesticides where detected but were below LOD (positive below LOD (0,25 µg/kg)). For a signal at the LOD, the alpha error (probability of false positive) is small (1%). See : http://en.wikipedia.org/wiki/Detection_limit `ID1` = ID from the lab that performed the analyses ? `ID2` : CARI ID `Sample_ID` = ID that must be used to merge these data with the palynological dataset 14 March 2016 correction of an encoding error in ID2 = 21B SEPT 2011 : the IDApiary was 21A, it has been transformed into 21B

Pesticides analyses from the pollen samples.

Two values = 0 (Imidacloprid 35A APRI 2012 Sample_ID = 47 and thiamethoxam 21A AUG 2011, Sample_ID = 17) : these Pesticides where detected but were below LOD (positive below LOD (0,25 µg/kg)). For a signal at the LOD, the alpha error (probability of false positive) is small (1%). See : http://en.wikipedia.org/wiki/Detection_limit

ID1 = ID from the lab that performed the analyses ? ID2 : CARI ID Sample_ID = ID that must be used to merge these data with the palynological dataset

14 March 2016 correction of an encoding error in ID2 = 21B SEPT 2011 : the IDApiary was 21A, it has been transformed into 21B

Metadata

n/a

Table 16. Structural analysis of the table. Column name (Name); concise description of the 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
ID1	Test	String	Text [0.0.TEXTA315]	n/a
ID2		String	Text [0.0.TEXTA315]	n/a
Sample_ID		String	Text [0.0.TEXTA315]	n/a
IDApiary		String	Text [0.0.TEXTA315]	n/a
Month		String	Text [0.0.TEXTA315]	n/a
Year		Integer number	Integer [0.0.NTGER313]	n/a
amitraz		String	Text [0.0.TEXTA315]	n/a
betacyfluthrine		String	Text [0.0.TEXTA315]	n/a
bifenthrine		String	Text [0.0.TEXTA315]	n/a
boscalid		String	Text [0.0.TEXTA315]	n/a
carbaryl		String	Text [0.0.TEXTA315]	n/a
chlorothalonil		String	Text [0.0.TEXTA315]	n/a
chlorpyriphos		String	Text [0.0.TEXTA315]	n/a
cyprodinil		String	Text [0.0.TEXTA315]	n/a
deltamethrine		String	Text [0.0.TEXTA315]	n/a
coumaphos		String	Text [0.0.TEXTA315]	n/a
cyfluthrine		String	Text [0.0.TEXTA315]	n/a
dimethoate		String	Text [0.0.TEXTA315]	n/a
esfenvalerate		String	Text [0.0.TEXTA315]	n/a
fenpropimorphe		String	Text [0.0.TEXTA315]	n/a
heptenophos		String	Text [0.0.TEXTA315]	n/a
indoxacarbe		String	Text [0.0.TEXTA315]	n/a
iprodione		String	Text [0.0.TEXTA315]	n/a
kresoxim.methyl		String	Text [0.0.TEXTA315]	n/a
lambda.cyalothrine		String	Text [0.0.TEXTA315]	n/a
piperonyl.butoxide		String	Text [0.0.TEXTA315]	n/a
pirimicarbe		String	Text [0.0.TEXTA315]	n/a
propamocarbe		String	Text [0.0.TEXTA315]	n/a
pyraclostrobine		String	Text [0.0.TEXTA315]	n/a
pyrimethanil		String	Text [0.0.TEXTA315]	n/a
trifloxystrobine		String	Text [0.0.TEXTA315]	n/a
tebuconazole		String	Text [0.0.TEXTA315]	n/a
tau.fluvalinate		String	Text [0.0.TEXTA315]	n/a
tebufenozide		String	Text [0.0.TEXTA315]	n/a
terbuthylazine		String	Text [0.0.TEXTA315]	n/a
zoxamide		String	Text [0.0.TEXTA315]	n/a
captane		String	Text [0.0.TEXTA315]	n/a
thiophanate.methyl		String	Text [0.0.TEXTA315]	n/a
clothianidine		String	Text [0.0.TEXTA315]	n/a
fipronil		String	Text [0.0.TEXTA315]	n/a
Fipronil.carboxamide		String	Text [0.0.TEXTA315]	n/a
Fipronil.desulfinil		String	Text [0.0.TEXTA315]	n/a
Fipronil.sulfone		String	Text [0.0.TEXTA315]	n/a
imidaclopride		Integer number	Integer [0.0.NTGER313]	n/a
imidaclopride_metab_5_OH_Imidacloprid		String	Text [0.0.TEXTA315]	n/a
imidaclopride_metab_Desnitroimidacloprid		String	Text [0.0.TEXTA315]	n/a
imidaclopride_metab_6_Cloronicotinc_acid		String	Text [0.0.TEXTA315]	n/a
imidaclopride_metab_Olefin		String	Text [0.0.TEXTA315]	n/a
imidaclopride_metab_Urea_Derivate		String	Text [0.0.TEXTA315]	n/a
thiaclopride		String	Text [0.0.TEXTA315]	n/a
thiamethoxam		String	Text [0.0.TEXTA315]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 17. 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
ID1	6 - 7	n/a	3158-1	n/a	n/a	n/a	3158-9	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	61 ( 100.0% )
ID2	11 - 13	n/a	11A AUG 2011	n/a	n/a	n/a	8A SEPT 2011	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	61 ( 100.0% )
Sample_ID	1 - 9	n/a	1	n/a	n/a	n/a	92	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	60 ( 98.4% )
IDApiary	2 - 3	n/a	11A	n/a	n/a	n/a	8A	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	40 ( 65.6% )
Month	4 - 9	n/a	April	n/a	n/a	n/a	September	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 8.2% )
Year	4 - 4	2,011.0	2,011	2,011	2,011	2,011	2,012	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 3.3% )
amitraz	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
betacyfluthrine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
bifenthrine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
boscalid	0 - 4	n/a	0,7	n/a	n/a	n/a	512	61	41 ( 67.2% )	0 ( 0.0% )	0 ( 0.0% )	21 ( 34.4% )
carbaryl	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
chlorothalonil	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
chlorpyriphos	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
cyprodinil	0 - 3	n/a	0,8	n/a	n/a	n/a	1,5	61	59 ( 96.7% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 4.9% )
deltamethrine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
coumaphos	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
cyfluthrine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
dimethoate	0 - 4	n/a	0,21	n/a	n/a	n/a	1,4	61	51 ( 83.6% )	0 ( 0.0% )	0 ( 0.0% )	9 ( 14.8% )
esfenvalerate	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
fenpropimorphe	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
heptenophos	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
indoxacarbe	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
iprodione	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
kresoxim.methyl	0 - 3	n/a	2,4	n/a	n/a	n/a	2,4	61	60 ( 98.4% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 3.3% )
lambda.cyalothrine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
piperonyl.butoxide	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
pirimicarbe	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
propamocarbe	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
pyraclostrobine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
pyrimethanil	0 - 4	n/a	0,6	n/a	n/a	n/a	9,7	61	51 ( 83.6% )	0 ( 0.0% )	0 ( 0.0% )	10 ( 16.4% )
trifloxystrobine	0 - 4	n/a	15,4	n/a	n/a	n/a	15,4	61	60 ( 98.4% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 3.3% )
tebuconazole	0 - 3	n/a	1,1	n/a	n/a	n/a	1,1	61	60 ( 98.4% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 3.3% )
tau.fluvalinate	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
tebufenozide	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
terbuthylazine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
zoxamide	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
captane	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
thiophanate.methyl	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
clothianidine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
fipronil	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
Fipronil.carboxamide	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
Fipronil.desulfinil	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
Fipronil.sulfone	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
imidaclopride	1 - 1	0.0	0	n/a	n/a	n/a	0	61	60 ( 98.4% )	1 ( 1.6% )	0 ( 0.0% )	2 ( 3.3% )
imidaclopride_metab_5_OH_Imidacloprid	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
imidaclopride_metab_Desnitroimidacloprid	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
imidaclopride_metab_6_Cloronicotinc_acid	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
imidaclopride_metab_Olefin	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
imidaclopride_metab_Urea_Derivate	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
thiaclopride	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )
thiamethoxam	0 - 3	n/a		n/a	n/a	n/a	1,6	61	59 ( 96.7% )	1 ( 1.6% )	0 ( 0.0% )	3 ( 4.9% )

Quality measures

Table 18. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
ID1	100.00%	100.00%	3158-8	3158-8
ID2	100.00%	100.00%	11A AUG 2011	11A AUG 2011
Sample_ID	100.00%	98.36%	18	1
IDApiary	100.00%	65.57%	21A	20A
Month	100.00%	8.20%	August	July
Year	100.00%	3.28%	2011	2012
amitraz	0.00%	1.64%	n/a	n/a
betacyfluthrine	0.00%	1.64%	n/a	n/a
bifenthrine	0.00%	1.64%	n/a	n/a
boscalid	32.79%	34.43%	n/a	82
carbaryl	0.00%	1.64%	n/a	n/a
chlorothalonil	0.00%	1.64%	n/a	n/a
chlorpyriphos	0.00%	1.64%	n/a	n/a
cyprodinil	3.28%	4.92%	n/a	1,5
deltamethrine	0.00%	1.64%	n/a	n/a
coumaphos	0.00%	1.64%	n/a	n/a
cyfluthrine	0.00%	1.64%	n/a	n/a
dimethoate	16.39%	14.75%	n/a	0,56
esfenvalerate	0.00%	1.64%	n/a	n/a
fenpropimorphe	0.00%	1.64%	n/a	n/a
heptenophos	0.00%	1.64%	n/a	n/a
indoxacarbe	0.00%	1.64%	n/a	n/a
iprodione	0.00%	1.64%	n/a	n/a
kresoxim.methyl	1.64%	3.28%	n/a	2,4
lambda.cyalothrine	0.00%	1.64%	n/a	n/a
piperonyl.butoxide	0.00%	1.64%	n/a	n/a
pirimicarbe	0.00%	1.64%	n/a	n/a
propamocarbe	0.00%	1.64%	n/a	n/a
pyraclostrobine	0.00%	1.64%	n/a	n/a
pyrimethanil	16.39%	16.39%	n/a	21,7
trifloxystrobine	1.64%	3.28%	n/a	15,4
tebuconazole	1.64%	3.28%	n/a	1,1
tau.fluvalinate	0.00%	1.64%	n/a	n/a
tebufenozide	0.00%	1.64%	n/a	n/a
terbuthylazine	0.00%	1.64%	n/a	n/a
zoxamide	0.00%	1.64%	n/a	n/a
captane	0.00%	1.64%	n/a	n/a
thiophanate.methyl	0.00%	1.64%	n/a	n/a
clothianidine	0.00%	1.64%	n/a	n/a
fipronil	0.00%	1.64%	n/a	n/a
Fipronil.carboxamide	0.00%	1.64%	n/a	n/a
Fipronil.desulfinil	0.00%	1.64%	n/a	n/a
Fipronil.sulfone	0.00%	1.64%	n/a	n/a
imidaclopride	1.64%	3.28%	0	0
imidaclopride_metab_5_OH_Imidacloprid	0.00%	1.64%	n/a	n/a
imidaclopride_metab_Desnitroimidacloprid	0.00%	1.64%	n/a	n/a
imidaclopride_metab_6_Cloronicotinc_acid	0.00%	1.64%	n/a	n/a
imidaclopride_metab_Olefin	0.00%	1.64%	n/a	n/a
imidaclopride_metab_Urea_Derivate	0.00%	1.64%	n/a	n/a
thiaclopride	0.00%	1.64%	n/a	n/a
thiamethoxam	3.28%	4.92%	n/a	0

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

Aggregation

Table 19. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	DEPAB69.GGRGT237.0
Name	Aggregation
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/DEPAB69.GGRGT237.0
Table Type	File
Licence	CC BY 4.0
Description	List of the cultures for which the 3 main pesticides found are athorized in Belgium. We used this information to infer which were the crops on which the use of each product was authorized in 2011. Provided by Bernard Weickmans from an export from the Phytoweb database (15/09/2015) NB : when the whole product is withdrawn from the market, the information is kept in the database. When only one specific use (on one culture) is no more authorized this use is simply removed from the database (so there are no more traces about this specific use in the database). `MLB_MOGELIJKE_ACTIEVE_STOFFEN_NAAM_FR` : Pesticide `HPNAAM` : commercial Name `DATUM_AFLEVERING` : date of first agreation `DATUM_OPMAAK` : Date of the current ageation `INGETROKKEN` : Has the product been withdrawn from the market ? Yes/No `DATUM_INTREKKING` : Date of the product withdrawn from the market `Composition` `MLB_MOGELIJKE_GEWASSEN_NAAM_FR` : type of cultures on which the product is authorized `MLB_GEWAS_BEGINSTADIUM_FR` : when the product can be applied `DOSIS_OF_CONCENTRATIE_FR` : authorized dose `MLB_MOGELIJKE_VIJANDEN_NAAM_FR` : target of the product `MLB_VIJAND_BEGINSTADIUM_FR` : start of the use (relative to the stadium of the target) `EINDSTADIUM_FR` : end of use

List of the cultures for which the 3 main pesticides found are athorized in Belgium. We used this information to infer which were the crops on which the use of each product was authorized in 2011.
Provided by Bernard Weickmans from an export from the Phytoweb database (15/09/2015)
NB : when the whole product is withdrawn from the market, the information is kept in the database. When only one specific use (on one culture) is no more authorized this use is simply removed from the database (so there are no more traces about this specific use in the database).

MLB_MOGELIJKE_ACTIEVE_STOFFEN_NAAM_FR : Pesticide
HPNAAM : commercial Name
DATUM_AFLEVERING : date of first agreation
DATUM_OPMAAK : Date of the current ageation
INGETROKKEN : Has the product been withdrawn from the market ? Yes/No
DATUM_INTREKKING : Date of the product withdrawn from the market
Composition
MLB_MOGELIJKE_GEWASSEN_NAAM_FR : type of cultures on which the product is authorized
MLB_GEWAS_BEGINSTADIUM_FR : when the product can be applied
DOSIS_OF_CONCENTRATIE_FR : authorized dose
MLB_MOGELIJKE_VIJANDEN_NAAM_FR : target of the product
MLB_VIJAND_BEGINSTADIUM_FR : start of the use (relative to the stadium of the target)
EINDSTADIUM_FR : end of use

Metadata

n/a

Table 20. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Datatype	Descriptor	Unit
MLB_MOGELIJKE_ACTIEVE_STOFFEN_NAAM_FR	String	Text [0.0.TEXTA315]	n/a
HPNAAM	String	Text [0.0.TEXTA315]	n/a
DATUM_AFLEVERING	String	Text [0.0.TEXTA315]	n/a
DATUM_OPMAAK	String	Text [0.0.TEXTA315]	n/a
INGETROKKEN	String	Text [0.0.TEXTA315]	n/a
DATUM_INTREKKING	String	Text [0.0.TEXTA315]	n/a
Composition	String	Text [0.0.TEXTA315]	n/a
MLB_MOGELIJKE_GEWASSEN_NAAM_FR	String	Text [0.0.TEXTA315]	n/a
MLB_GEWAS_BEGINSTADIUM_FR	String	Text [0.0.TEXTA315]	n/a
DOSIS_OF_CONCENTRATIE_FR	String	Text [0.0.TEXTA315]	n/a
MLB_MOGELIJKE_VIJANDEN_NAAM_FR	String	Text [0.0.TEXTA315]	n/a
MLB_VIJAND_BEGINSTADIUM_FR	String	Text [0.0.TEXTA315]	n/a
EINDSTADIUM_FR	Undefined	[]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 21. 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
MLB_MOGELIJKE_ACTIEVE_STOFFEN_NAAM_FR	8 - 12	n/a	BOSCALID	n/a	n/a	n/a	PYRIMETHANIL	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.1% )
HPNAAM	5 - 43	n/a	AGRICHIM DIM…	n/a	n/a	n/a	XEDATHANE-A	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	36 ( 1.5% )
DATUM_AFLEVERING	10 - 10	n/a	01/07/2005	n/a	n/a	n/a	31/01/1995	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	49 ( 2.1% )
DATUM_OPMAAK	9 - 10	n/a	1/07/2015	n/a	n/a	n/a	9/09/2015	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	41 ( 1.7% )
INGETROKKEN	1 - 1	n/a	N	n/a	n/a	n/a	Y	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )
DATUM_INTREKKING	0 - 10	n/a	01/01/2001	n/a	n/a	n/a	30/09/2009	2,352	1,860 ( 79.1% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 0.8% )
Composition	13 - 64	n/a	100 g/L DIME…	n/a	n/a	n/a	95 g/L DIMET…	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	17 ( 0.7% )
MLB_MOGELIJKE_GEWASSEN_NAAM_FR	4 - 90	n/a	Chou chinois…	n/a	n/a	n/a	épinard (ple…	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	152 ( 6.5% )
MLB_GEWAS_BEGINSTADIUM_FR	0 - 197	n/a	- immédiatem…	n/a	n/a	n/a	élongation i…	2,352	1,968 ( 83.7% )	0 ( 0.0% )	0 ( 0.0% )	29 ( 1.2% )
DOSIS_OF_CONCENTRATIE_FR	7 - 187	n/a	- basses tig…	n/a	n/a	n/a	laagstam: 63…	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	121 ( 5.1% )
MLB_MOGELIJKE_VIJANDEN_NAAM_FR	4 - 48	n/a	Drosophila s…	n/a	n/a	n/a	ériniose du…	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	74 ( 3.1% )
MLB_VIJAND_BEGINSTADIUM_FR	0 - 57	n/a	Max. 2 appli…	n/a	n/a	n/a	selon les av…	2,352	2,158 ( 91.8% )	0 ( 0.0% )	0 ( 0.0% )	14 ( 0.6% )
EINDSTADIUM_FR	0 - 0	n/a		n/a	n/a	n/a		2,352	2,352 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Quality measures

Table 22. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
MLB_MOGELIJKE_ACTIEVE_STOFFEN_NAAM_FR	100.00%	0.13%	BOSCALID	PYRIMETHANIL
HPNAAM	100.00%	1.53%	INTERNUM WG	PHOSAN PLUS
DATUM_AFLEVERING	100.00%	2.08%	21/11/2011	29/09/2010
DATUM_OPMAAK	100.00%	1.74%	9/09/2015	29/09/2010
INGETROKKEN	100.00%	0.09%	N	Y
DATUM_INTREKKING	20.92%	0.77%	n/a	29/09/2010
Composition	100.00%	0.72%	26,7 % BOSCALID + 6,7 % PYRACLOSTROBINE	95 g/L DIMETHOATE + 100 g/L MALATHION + 100 g/L METHOXYCHLORE
MLB_MOGELIJKE_GEWASSEN_NAAM_FR	100.00%	6.46%	plantes ornementales (non destinées à la consommation)	fenouil (plein air)
MLB_GEWAS_BEGINSTADIUM_FR	16.33%	1.23%	n/a	/
DOSIS_OF_CONCENTRATIE_FR	100.00%	5.14%	0,5 l/ha, 1-2 applications	0,5 l/ha (een uitvloeier toevoegen).
MLB_MOGELIJKE_VIJANDEN_NAAM_FR	100.00%	3.15%	pourriture grise	insectes rongeurs et suceurs
MLB_VIJAND_BEGINSTADIUM_FR	8.25%	0.60%	n/a	préventivement
EINDSTADIUM_FR	0.00%	0.04%	n/a	n/a

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

DEPAB1_data

Table 23. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	DEPAB69.DPBDT238.0
Name	DEPAB1_data
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/DEPAB69.DPBDT238.0
Table Type	File
Licence	CC BY 4.0
Description	This dataset contains Colony health, pesticides and virus content data for the first part of the project. These data have not been used here in the analyses. We just used these results to compare the frequences of the pesticides in the different matrices. These are the compiled data from raw sources used for the 2014 PLoS One paper. The raw data and the compilation procedure is described here (Gilles' computer): `/home/gilles/stats/OtherRprojects/LouisHautier/bees2/create_raw_data` Group: Disorder vs Healthy State : description of the problems observed into the colonies: M : mortality of the colony (Mortalité) R : problem with the queen (Reine) C : problem with the brood (Couvain) A : weakening of the colony (Affaiblissement) V : Healthy colony Visit: 1 : Summer 2011 2 : Autumn 2011 Type : type of stressor A : Acaricides F : Fungicides H : Herbicides I : Insecticides IA : Insecticides + Acaricides S : Synergist V : Virusses Value : presence or absence (1/0) of the stressor (pesticides or virus)

This dataset contains Colony health, pesticides and virus content data for the first part of the project. These data have not been used here in the analyses. We just used these results to compare the frequences of the pesticides in the different matrices.

These are the compiled data from raw sources used for the 2014 PLoS One paper. The raw data and the compilation procedure is described here (Gilles' computer): /home/gilles/stats/OtherRprojects/LouisHautier/bees2/create_raw_data

Group: Disorder vs Healthy

State : description of the problems observed into the colonies:

M : mortality of the colony (Mortalité)
R : problem with the queen (Reine)
C : problem with the brood (Couvain)
A : weakening of the colony (Affaiblissement)
V : Healthy colony

Visit:

1 : Summer 2011
2 : Autumn 2011

Type : type of stressor

A : Acaricides
F : Fungicides
H : Herbicides
I : Insecticides
IA : Insecticides + Acaricides
S : Synergist
V : Virusses

Value : presence or absence (1/0) of the stressor (pesticides or virus)

Metadata

n/a

Table 24. Structural analysis of the table. Column name (Name); concise description of the 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
Group	Colony group	String	Text [0.0.TEXTA315]	n/a
Disorder	Disorder	Integer number	Integer [0.0.NTGER313]	n/a
State	State	String	Text [0.0.TEXTA315]	n/a
Sample	Sample ID	String	Text [0.0.TEXTA315]	n/a
IDApiary	Apiary ID	String	Text [0.0.TEXTA315]	n/a
IDColony	Colony ID	String	Text [0.0.TEXTA315]	n/a
Visit	Visit Period	Integer number	Integer [0.0.NTGER313]	n/a
Matrix	Matrix	String	Text [0.0.TEXTA315]	n/a
Stressor	Stressor	String	Text [0.0.TEXTA315]	n/a
Type	Mode of Action Type	String	Text [0.0.TEXTA315]	n/a
Name	Active substance ID	String	Text [0.0.TEXTA315]	n/a
Value	Value	String	Text [0.0.TEXTA315]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 25. 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
Group	7 - 8	n/a	Disorder	n/a	n/a	n/a	Healthy	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.0% )
Disorder	1 - 1	0.5	0	0	0	1	1	27,295	0 ( 0.0% )	14,935 ( 54.7% )	0 ( 0.0% )	2 ( 0.0% )
State	1 - 3	n/a	A	n/a	n/a	n/a	V	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.0% )
Sample	9 - 14	n/a	1/08/2011	n/a	n/a	n/a	5/08/2011	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	85 ( 0.3% )
IDApiary	2 - 3	n/a	15A	n/a	n/a	n/a	8A	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	21 ( 0.1% )
IDColony	3 - 4	n/a	15A3	n/a	n/a	n/a	8A3	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	53 ( 0.2% )
Visit	1 - 1	1.6	1	1	2	2	2	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.0% )
Matrix	3 - 8	n/a	Bee	n/a	n/a	n/a	Wax	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 0.0% )
Stressor	5 - 9	n/a	Pesticide	n/a	n/a	n/a	Virus	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.0% )
Type	1 - 2	n/a	A	n/a	n/a	n/a	V	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.0% )
Name	3 - 20	n/a	2,4-D	n/a	n/a	n/a	Zoxamide	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	106 ( 0.4% )
Value	1 - 2	n/a		n/a	n/a	n/a	NA	27,295	0 ( 0.0% )	25,665 ( 94.0% )	0 ( 0.0% )	3 ( 0.0% )

Quality measures

Table 26. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Group	100.00%	0.01%	Healthy	Disorder
Disorder	100.00%	0.01%	0	1
State	100.00%	0.03%	V	MRA
Sample	100.00%	0.31%	12-09-0961-055	22/07/2011
IDApiary	100.00%	0.08%	40A	15A
IDColony	100.00%	0.19%	15A3	15A3
Visit	100.00%	0.01%	2	1
Matrix	100.00%	0.01%	Honey	Bee
Stressor	100.00%	0.01%	Pesticide	Virus
Type	100.00%	0.03%	F	S
Name	100.00%	0.39%	Abamectin	ABPV
Value	100.00%	0.01%	0	1

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

lib_pollen

Table 27. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	DEPAB69.LBPLL239.0
Name	lib_pollen
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/DEPAB69.LBPLL239.0
Table Type	File
Licence	CC BY 4.0
Description	This is a reference library of pollen types with information about their size and taxonomic position. NB : the volume data have not been used. `Pollen_name` = pollen name as used in the different dataset including errors, typos etc... `Pollen_type` = clean pollen categories to be used (with some groupings) `Pollen_familly` = Botanical fammily of the pollen species `Pollen_code` : short code for `Pollen_type` `Polar_ref` and `equatorial_ref` = range of known sizes + letter providing the source of information (see below) `p` = polar size effectively used (for ranges we used the mean of the extreme values) `q` = equatorial size `vol` = volume of the ellipsoid calculated from r & q as 4/3 * r/2 *(q/2)^2 `r` = mean radius used by louis to calculate the volume as a sphere `vol_r` = volume used by Louis based on r Sources for the pollen sizes (from the scientific report of DEPAB1) a – Source : Pollens de plantes mellifères d'Europe b- Source : "http://www-saps.plantsci.cam.ac.uk/pollen/" c – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-11-35-2/bot-35-2-5-0906-70.pdf" d – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-99-23-3/bot-23-3-3-97003.pdf" e – Source : "http://nhm.openrepository.com/nhm/bitstream/10141/12605/1/Tweddle_Edwards_Fieller_Multivariate.pdf" f – Source : "http://www.geo.arizona.edu/palynology/pid00042.html" g – Source : "http://www.landesmuseum.at/pdf_frei_remote/PHY_20_3_4_0307-0323.pdf" h – Source : banque de données du CARI n - Noa pers.comm.e-mail 4/2/2015 = h Note – Lorsque la dimension équatoriale n'est pas indiquée, le pollen peut être considéré comme sphérique

This is a reference library of pollen types with information about their size and taxonomic position. NB : the volume data have not been used.

Pollen_name = pollen name as used in the different dataset including errors, typos etc...
Pollen_type = clean pollen categories to be used (with some groupings)
Pollen_familly = Botanical fammily of the pollen species
Pollen_code : short code for Pollen_type
Polar_ref and equatorial_ref = range of known sizes + letter providing the source of information (see below)
p = polar size effectively used (for ranges we used the mean of the extreme values)
q = equatorial size
vol = volume of the ellipsoid calculated from r & q as 4/3 * r/2 *(q/2)^2
r = mean radius used by louis to calculate the volume as a sphere
vol_r = volume used by Louis based on r

Sources for the pollen sizes (from the scientific report of DEPAB1) a – Source : Pollens de plantes mellifères d'Europe
b- Source : "http://www-saps.plantsci.cam.ac.uk/pollen/" c – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-11-35-2/bot-35-2-5-0906-70.pdf"
d – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-99-23-3/bot-23-3-3-97003.pdf"
e – Source : "http://nhm.openrepository.com/nhm/bitstream/10141/12605/1/Tweddle_Edwards_Fieller_Multivariate.pdf"
f – Source : "http://www.geo.arizona.edu/palynology/pid00042.html"
g – Source : "http://www.landesmuseum.at/pdf_frei_remote/PHY_20_3_4_0307-0323.pdf"
h – Source : banque de données du CARI
n - Noa pers.comm.e-mail 4/2/2015 = h Note – Lorsque la dimension équatoriale n'est pas indiquée, le pollen peut être considéré comme sphérique

Metadata

n/a

Table 28. Structural analysis of the table. Column name (Name); concise description of the 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
Pollen_name	Pollen name as used in the different dataset including errors, typos etc...	String	Text [0.0.TEXTA315]	n/a
Pollen_type	Clean pollen categories to be used (with some groupings)	String	Text [0.0.TEXTA315]	n/a
Pollen_familly	Botanical fammily of the pollen species	String	Text [0.0.TEXTA315]	n/a
Pollen_code	Short code for Pollen_type	String	Text [0.0.TEXTA315]	n/a
polar_ref	Range of known sizes + letter providing the source of information Sources for the pollen sizes (from the scientific report of DEPAB1) a – Source : Pollens de plantes mellifères d'Europe b- Source : "http://www-saps.plantsci.cam.ac.uk/pollen/" c – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-11-35-2/bot-35-2-5-0906-70.pdf" d – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-99-23-3/bot-23-3-3-97003.pdf" e – Source : "http://nhm.openrepository.com/nhm/bitstream/10141/12605/1/Tweddle_Edwards_Fieller_Multivariate.pdf" f – Source : "http://www.geo.arizona.edu/palynology/pid00042.html" g – Source : "http://www.landesmuseum.at/pdf_frei_remote/PHY_20_3_4_0307-0323.pdf" h – Source : banque de données du CARI n - Noa pers.comm.e-mail 4/2/2015 = h Note – Lorsque la dimension équatoriale n'est pas indiquée, le pollen peut être considéré comme sphérique	String	Text [0.0.TEXTA315]	n/a
equatorial_ref	Range of known sizes + letter providing the source of information Sources for the pollen sizes (from the scientific report of DEPAB1) a – Source : Pollens de plantes mellifères d'Europe b- Source : "http://www-saps.plantsci.cam.ac.uk/pollen/" c – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-11-35-2/bot-35-2-5-0906-70.pdf" d – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-99-23-3/bot-23-3-3-97003.pdf" e – Source : "http://nhm.openrepository.com/nhm/bitstream/10141/12605/1/Tweddle_Edwards_Fieller_Multivariate.pdf" f – Source : "http://www.geo.arizona.edu/palynology/pid00042.html" g – Source : "http://www.landesmuseum.at/pdf_frei_remote/PHY_20_3_4_0307-0323.pdf" h – Source : banque de données du CARI n - Noa pers.comm.e-mail 4/2/2015 = h Note – Lorsque la dimension équatoriale n'est pas indiquée, le pollen peut être considéré comme sphérique	String	Text [0.0.TEXTA315]	n/a
p	Polar size effectively used (for ranges we used the mean of the extreme values)	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
q	Equatorial size	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
vol	Volume of the ellipsoid calculated from r & q as 4/3 * r/2 *(q/2)^2	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
r	Mean radius used by louis to calculate the volume as a sphere	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a
vol_r	Volume used by Louis based on r	Decimal number	DecimalNumber [0.0.DCMLN314]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 29. 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
Pollen_name	5 - 28	n/a	Anacardiacée…	n/a	n/a	n/a	type rhamnac…	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	51 ( 98.1% )
Pollen_type	5 - 14	n/a	Anacardiacea…	n/a	n/a	n/a	unknown	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	35 ( 67.3% )
Pollen_familly	7 - 15	n/a	Anacardiacea…	n/a	n/a	n/a	unknown	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	29 ( 55.8% )
Pollen_code	3 - 3	n/a	ana	n/a	n/a	n/a	vic	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	35 ( 67.3% )
polar_ref	2 - 9	n/a	11a	n/a	n/a	n/a	>40e	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	31 ( 59.6% )
equatorial_ref	0 - 7	n/a	10-12c	n/a	n/a	n/a	8a	52	27 ( 51.9% )	0 ( 0.0% )	0 ( 0.0% )	15 ( 28.8% )
p	2 - 4	30.00	11	22	30	35	67.5	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	23 ( 44.2% )
q	1 - 4	30.98	8	22.25	30	39.375	67.5	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	24 ( 46.2% )
vol	6 - 9	20,974.417	368.61	5,548.58	14,137.17	26,299.6	161,031.17	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	27 ( 51.9% )
r	2 - 5	29.569	9.5	21.5	30	35	50	52	5 ( 9.6% )	0 ( 0.0% )	0 ( 0.0% )	22 ( 42.3% )
vol_r	5 - 8	16,330.984	15.25	5,203.72	10,889.22	22,449.3	65,449.85	52	5 ( 9.6% )	0 ( 0.0% )	0 ( 0.0% )	23 ( 44.2% )

Quality measures

Table 30. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in 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_name	100.00%	98.08%	Ronces	Anacardiacées
Pollen_type	100.00%	67.31%	Asteraceae	Anacardiaceae
Pollen_familly	100.00%	55.77%	Asteraceae	Anacardiaceae
Pollen_code	100.00%	67.31%	ast	ana
polar_ref	100.00%	59.62%	31a	30b
equatorial_ref	48.08%	28.85%	n/a	10-12c
p	100.00%	44.23%	40	22.5
q	100.00%	46.15%	30	11
vol	100.00%	51.92%	22449.3	1425.5
r	90.38%	42.31%	n/a	16.75
vol_r	90.38%	44.23%	n/a	2460.61

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

coordinates

Table 31. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Unique identifier	DEPAB69.CRDNT240.0
Name	coordinates
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/DEPAB69.CRDNT240.0
Table Type	File
Licence	CC BY 4.0
Description	Geographic coordinates of the apiaries (IDApiary) in longitude-latitude, WGS84. The coordinates have been rounded here to two decimals to protect the beekeepers privacy. The original coordinates have been used to measure the surfaces of different crops and grasslands around the apiaries.

Geographic coordinates of the apiaries (IDApiary) in longitude-latitude, WGS84.
The coordinates have been rounded here to two decimals to protect the beekeepers privacy. The original coordinates have been used to measure the surfaces of different crops and grasslands around the apiaries.

Metadata

n/a

Table 32. Structural analysis of the table. Column name (Name); concise description of the 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
IDApiary	Apiary ID	String	Text [0.0.TEXTA315]	n/a
long	Longitude	Decimal number	dwc:decimalLongitude [0.0.LNGTD332]	°
lat	Latitude	Decimal number	dwc:decimalLatitude [0.0.LTTDE333]	°

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 33. 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
IDApiary	2 - 3	n/a	11A	n/a	n/a	n/a	8A	44	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	44 ( 100.0% )
long	3 - 4	4.703	3.38	4.44	4.58	5.2475	5.76	44	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	37 ( 84.1% )
lat	4 - 5	50.507	49.57	50.43	50.565	50.66	50.78	44	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	30 ( 68.2% )

Quality measures

Table 34. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
IDApiary	100.00%	100.00%	15A	15A
long	100.00%	84.09%	5.57	3.38
lat	100.00%	68.18%	50.65	50.63

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

References

Simon-Delso N., San Martin G., Bruneau E., Delcourt C., Hautier L. 2017 The challenges of predicting pesticide exposure of honey bees at landscape level. Scientific Reports. Vol. 7, (1) p. 3801. doi: 10.1038/s41598-017-03467-5

Annex 1: Table column reports

Table: lib_pesticides

Column: substance

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).

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
substance	3 - 40	n/a	2.4.d	n/a	n/a	n/a	zoxamide	109	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	109 ( 100.0% )

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
substance	100.00%	100.00%	2.4.d	2.4.d

Completeness

Figure 1. Visualization of completeness of the data in the column.

Uniqueness

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

Column: fullname

Table 38. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	fullname
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 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	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
fullname	3 - 20	n/a	2,4-D	n/a	n/a	n/a	Zoxamide	109	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	109 ( 100.0% )

Table 40. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
fullname	100.00%	100.00%	2,4-D	2,4-D

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: type

Table 41. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	type
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
type	1 - 2	n/a	A	n/a	n/a	n/a	S	109	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 5.5% )

Table 43. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
type	100.00%	5.50%	I	S

Data Distribution Top 20

Figure 5. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: LOQ_Wax

Table 44. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	LOQ_Wax
Description
Data type	Decimal number
Descriptor	pms:limitOfQuantification [UID:0.0.LMTFQ434]
Descriptor description	The highest or lowest amount of an analyte in a sample that can be quantitatively determined with pre-defined precision and accuracy.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.LMTFQ434
Unit	n/a

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
LOQ_Wax	1 - 3	0.13	0.1	0.1	0.1	0.1	2	109	10 ( 9.2% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 4.6% )

Table 46. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
LOQ_Wax	90.83%	4.59%	0.1	0.5

Data Distribution Top 20

Figure 8. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 9. Distribution of values in the column.

Outliers

Figure 10. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: LOQ_Beebread

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

Parameter	Content
Column name	LOQ_Beebread
Description
Data type	Decimal number
Descriptor	pms:limitOfQuantification [UID:0.0.LMTFQ434]
Descriptor description	The highest or lowest amount of an analyte in a sample that can be quantitatively determined with pre-defined precision and accuracy.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.LMTFQ434
Unit	n/a

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
LOQ_Beebread	1 - 3	0.13	0.1	0.1	0.1	0.1	2	109	16 ( 14.7% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 4.6% )

Table 49. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
LOQ_Beebread	85.32%	4.59%	0.1	0.5

Data Distribution Top 20

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

Continuous Data Distribution

Figure 14. Distribution of values in the column.

Outliers

Figure 15. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: LOQ_Honey

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

Parameter	Content
Column name	LOQ_Honey
Description
Data type	Decimal number
Descriptor	pms:limitOfQuantification [UID:0.0.LMTFQ434]
Descriptor description	The highest or lowest amount of an analyte in a sample that can be quantitatively determined with pre-defined precision and accuracy.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.LMTFQ434
Unit	n/a

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
LOQ_Honey	3 - 5	0.0105	0.005	0.005	0.005	0.01	0.2	109	13 ( 11.9% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 5.5% )

Table 52. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
LOQ_Honey	88.07%	5.50%	0.005	0.2

Data Distribution Top 20

Figure 18. Distribution of 20 most common values, from highest to lowest.

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: LOQ_Pollen

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

Parameter	Content
Column name	LOQ_Pollen
Description
Data type	Decimal number
Descriptor	pms:limitOfQuantification [UID:0.0.LMTFQ434]
Descriptor description	The highest or lowest amount of an analyte in a sample that can be quantitatively determined with pre-defined precision and accuracy.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.LMTFQ434
Unit	n/a

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
LOQ_Pollen	5 - 7	0.005641	0.00075	0.005	0.0075	0.0075	0.0075	109	65 ( 59.6% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 6.4% )

Table 55. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
LOQ_Pollen	40.37%	6.42%	n/a	0.003

Data Distribution Top 20

Figure 23. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 24. Distribution of values in the column.

Outliers

Figure 25. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Table: pollen_dates

Column: Sample_ID

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

Parameter	Content
Column name	Sample_ID
Description	Sample ID
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sample_ID	1 - 2	46.3	1	21.5	46	68.5	91	165	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	91 ( 55.2% )

Table 58. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sample_ID	100.00%	55.15%	20	4

Continuous Data Distribution

Figure 28. Distribution of values in the column.

Outliers

Figure 29. Visualization of median, min, max, and outliers 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: IDApiary

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

Parameter	Content
Column name	IDApiary
Description	Apiary ID
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
IDApiary	2 - 3	n/a	11A	n/a	n/a	n/a	8A	165	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	40 ( 24.2% )

Table 61. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
IDApiary	100.00%	24.24%	21A	20A

Completeness

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

Uniqueness

Figure 33. Visualization of uniqueness of the data in the column.

Column: IDColony

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

Parameter	Content
Column name	IDColony
Description	Colony ID
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
IDColony	2 - 4	n/a	11B1	n/a	n/a	n/a	NA	165	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 3.0% )

Table 64. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
IDColony	100.00%	3.03%	NA	27A1

Data Distribution Top 20

Figure 34. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 36. Visualization of uniqueness of the data in the column.

Column: Date

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

Parameter	Content
Column name	Date
Description	Date
Data type	Date
Descriptor	iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description	particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit	n/a

Table 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Date	10 - 10	n/a	2011-07-21	n/a	n/a	n/a	2012-04-01	165	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	65 ( 39.4% )

Table 67. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Date	100.00%	39.39%	2011-08-30	2011-08-07

Completeness

Figure 37. Visualization of completeness of the data in the column.

Uniqueness

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

Table: pollen_pesticides

Column: ID1

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

Parameter	Content
Column name	ID1
Description	Test
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
ID1	6 - 7	n/a	3158-1	n/a	n/a	n/a	3158-9	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	61 ( 100.0% )

Table 70. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
ID1	100.00%	100.00%	3158-8	3158-8

Completeness

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

Uniqueness

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

Column: ID2

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

Parameter	Content
Column name	ID2
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
ID2	11 - 13	n/a	11A AUG 2011	n/a	n/a	n/a	8A SEPT 2011	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	61 ( 100.0% )

Table 73. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
ID2	100.00%	100.00%	11A AUG 2011	11A AUG 2011

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: Sample_ID

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

Parameter	Content
Column name	Sample_ID
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sample_ID	1 - 9	n/a	1	n/a	n/a	n/a	92	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	60 ( 98.4% )

Table 76. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sample_ID	100.00%	98.36%	18	1

Completeness

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

Uniqueness

Figure 44. Visualization of uniqueness of the data in the column.

Column: IDApiary

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

Parameter	Content
Column name	IDApiary
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
IDApiary	2 - 3	n/a	11A	n/a	n/a	n/a	8A	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	40 ( 65.6% )

Table 79. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
IDApiary	100.00%	65.57%	21A	20A

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: Month

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

Parameter	Content
Column name	Month
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Month	4 - 9	n/a	April	n/a	n/a	n/a	September	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 8.2% )

Table 82. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Month	100.00%	8.20%	August	July

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: Year

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

Parameter	Content
Column name	Year
Description
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Year	4 - 4	2,011.0	2,011	2,011	2,011	2,011	2,012	61	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 3.3% )

Table 85. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Year	100.00%	3.28%	2011	2012

Data Distribution Top 20

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

Continuous Data Distribution

Figure 51. Distribution of values in the column.

Outliers

Figure 52. Visualization of median, min, max, and outliers 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: amitraz

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

Parameter	Content
Column name	amitraz
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
amitraz	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 88. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
amitraz	0.00%	1.64%	n/a	n/a

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: betacyfluthrine

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

Parameter	Content
Column name	betacyfluthrine
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
betacyfluthrine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 91. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
betacyfluthrine	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: bifenthrine

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

Parameter	Content
Column name	bifenthrine
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
bifenthrine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 94. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
bifenthrine	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: boscalid

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

Parameter	Content
Column name	boscalid
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
boscalid	0 - 4	n/a	0,7	n/a	n/a	n/a	512	61	41 ( 67.2% )	0 ( 0.0% )	0 ( 0.0% )	21 ( 34.4% )

Table 97. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
boscalid	32.79%	34.43%	n/a	82

Completeness

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

Uniqueness

Figure 65. Visualization of uniqueness of the data in the column.

Column: carbaryl

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

Parameter	Content
Column name	carbaryl
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
carbaryl	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 100. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
carbaryl	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 66. Distribution of 20 most common values, from highest to lowest.

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: chlorothalonil

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

Parameter	Content
Column name	chlorothalonil
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
chlorothalonil	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 103. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
chlorothalonil	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

Figure 70. Visualization of completeness of the data in the column.

Uniqueness

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

Column: chlorpyriphos

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

Parameter	Content
Column name	chlorpyriphos
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
chlorpyriphos	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 106. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
chlorpyriphos	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 72. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: cyprodinil

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

Parameter	Content
Column name	cyprodinil
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
cyprodinil	0 - 3	n/a	0,8	n/a	n/a	n/a	1,5	61	59 ( 96.7% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 4.9% )

Table 109. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
cyprodinil	3.28%	4.92%	n/a	1,5

Data Distribution Top 20

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

Completeness

Figure 76. Visualization of completeness of the data in the column.

Uniqueness

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

Column: deltamethrine

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

Parameter	Content
Column name	deltamethrine
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
deltamethrine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 112. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
deltamethrine	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 78. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 79. Visualization of completeness of the data in the column.

Uniqueness

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

Column: coumaphos

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

Parameter	Content
Column name	coumaphos
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
coumaphos	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 115. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
coumaphos	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 81. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: cyfluthrine

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

Parameter	Content
Column name	cyfluthrine
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
cyfluthrine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 118. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
cyfluthrine	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: dimethoate

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

Parameter	Content
Column name	dimethoate
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
dimethoate	0 - 4	n/a	0,21	n/a	n/a	n/a	1,4	61	51 ( 83.6% )	0 ( 0.0% )	0 ( 0.0% )	9 ( 14.8% )

Table 121. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
dimethoate	16.39%	14.75%	n/a	0,56

Completeness

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

Uniqueness

Figure 88. Visualization of uniqueness of the data in the column.

Column: esfenvalerate

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

Parameter	Content
Column name	esfenvalerate
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
esfenvalerate	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 124. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
esfenvalerate	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 89. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: fenpropimorphe

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

Parameter	Content
Column name	fenpropimorphe
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
fenpropimorphe	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 127. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
fenpropimorphe	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

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: heptenophos

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

Parameter	Content
Column name	heptenophos
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
heptenophos	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 130. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
heptenophos	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

Figure 96. Visualization of completeness of the data in the column.

Uniqueness

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

Column: indoxacarbe

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

Parameter	Content
Column name	indoxacarbe
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
indoxacarbe	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 133. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
indoxacarbe	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 98. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: iprodione

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

Parameter	Content
Column name	iprodione
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
iprodione	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 136. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
iprodione	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

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

Uniqueness

Figure 103. Visualization of uniqueness of the data in the column.

Column: kresoxim.methyl

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

Parameter	Content
Column name	kresoxim.methyl
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
kresoxim.methyl	0 - 3	n/a	2,4	n/a	n/a	n/a	2,4	61	60 ( 98.4% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 3.3% )

Table 139. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
kresoxim.methyl	1.64%	3.28%	n/a	2,4

Data Distribution Top 20

Figure 104. Distribution of 20 most common values, from highest to lowest.

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: lambda.cyalothrine

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

Parameter	Content
Column name	lambda.cyalothrine
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
lambda.cyalothrine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 142. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
lambda.cyalothrine	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

Figure 108. Visualization of completeness of the data in the column.

Uniqueness

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

Column: piperonyl.butoxide

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

Parameter	Content
Column name	piperonyl.butoxide
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
piperonyl.butoxide	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 145. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
piperonyl.butoxide	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 110. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 111. Visualization of completeness of the data in the column.

Uniqueness

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

Column: pirimicarbe

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

Parameter	Content
Column name	pirimicarbe
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
pirimicarbe	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 148. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
pirimicarbe	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 113. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 115. Visualization of uniqueness of the data in the column.

Column: propamocarbe

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

Parameter	Content
Column name	propamocarbe
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
propamocarbe	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 151. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
propamocarbe	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 116. Distribution of 20 most common values, from highest to lowest.

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: pyraclostrobine

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

Parameter	Content
Column name	pyraclostrobine
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
pyraclostrobine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 154. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
pyraclostrobine	0.00%	1.64%	n/a	n/a

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: pyrimethanil

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

Parameter	Content
Column name	pyrimethanil
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
pyrimethanil	0 - 4	n/a	0,6	n/a	n/a	n/a	9,7	61	51 ( 83.6% )	0 ( 0.0% )	0 ( 0.0% )	10 ( 16.4% )

Table 157. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
pyrimethanil	16.39%	16.39%	n/a	21,7

Completeness

Figure 122. Visualization of completeness of the data in the column.

Uniqueness

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

Column: trifloxystrobine

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

Parameter	Content
Column name	trifloxystrobine
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
trifloxystrobine	0 - 4	n/a	15,4	n/a	n/a	n/a	15,4	61	60 ( 98.4% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 3.3% )

Table 160. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
trifloxystrobine	1.64%	3.28%	n/a	15,4

Data Distribution Top 20

Figure 124. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 125. Visualization of completeness of the data in the column.

Uniqueness

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

Column: tebuconazole

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

Parameter	Content
Column name	tebuconazole
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
tebuconazole	0 - 3	n/a	1,1	n/a	n/a	n/a	1,1	61	60 ( 98.4% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 3.3% )

Table 163. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
tebuconazole	1.64%	3.28%	n/a	1,1

Data Distribution Top 20

Figure 127. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: tau.fluvalinate

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

Parameter	Content
Column name	tau.fluvalinate
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
tau.fluvalinate	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 166. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
tau.fluvalinate	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

Figure 131. Visualization of completeness of the data in the column.

Uniqueness

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

Column: tebufenozide

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

Parameter	Content
Column name	tebufenozide
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
tebufenozide	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 169. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
tebufenozide	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 133. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 135. Visualization of uniqueness of the data in the column.

Column: terbuthylazine

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

Parameter	Content
Column name	terbuthylazine
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
terbuthylazine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 172. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
terbuthylazine	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: zoxamide

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

Parameter	Content
Column name	zoxamide
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
zoxamide	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 175. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
zoxamide	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 139. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 141. Visualization of uniqueness of the data in the column.

Column: captane

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

Parameter	Content
Column name	captane
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
captane	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 178. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
captane	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 142. Distribution of 20 most common values, from highest to lowest.

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: thiophanate.methyl

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

Parameter	Content
Column name	thiophanate.methyl
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
thiophanate.methyl	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 181. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
thiophanate.methyl	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

Figure 146. Visualization of completeness of the data in the column.

Uniqueness

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

Column: clothianidine

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

Parameter	Content
Column name	clothianidine
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
clothianidine	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 184. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
clothianidine	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 148. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 149. Visualization of completeness of the data in the column.

Uniqueness

Figure 150. Visualization of uniqueness of the data in the column.

Column: fipronil

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

Parameter	Content
Column name	fipronil
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
fipronil	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 187. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
fipronil	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 151. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: Fipronil.carboxamide

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

Parameter	Content
Column name	Fipronil.carboxamide
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Fipronil.carboxamide	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 190. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Fipronil.carboxamide	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

Figure 155. Visualization of completeness of the data in the column.

Uniqueness

Figure 156. Visualization of uniqueness of the data in the column.

Column: Fipronil.desulfinil

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

Parameter	Content
Column name	Fipronil.desulfinil
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Fipronil.desulfinil	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 193. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Fipronil.desulfinil	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 157. Distribution of 20 most common values, from highest to lowest.

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: Fipronil.sulfone

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

Parameter	Content
Column name	Fipronil.sulfone
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Fipronil.sulfone	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 196. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Fipronil.sulfone	0.00%	1.64%	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: imidaclopride

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

Parameter	Content
Column name	imidaclopride
Description
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	n/a

Table 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
imidaclopride	1 - 1	0.0	0	n/a	n/a	n/a	0	61	60 ( 98.4% )	1 ( 1.6% )	0 ( 0.0% )	2 ( 3.3% )

Table 199. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
imidaclopride	1.64%	3.28%	0	0

Data Distribution Top 20

Figure 163. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 164. Distribution of values in the column.

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: imidaclopride_metab_5_OH_Imidacloprid

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

Parameter	Content
Column name	imidaclopride_metab_5_OH_Imidacloprid
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
imidaclopride_metab_5_OH_Imidacloprid	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 202. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
imidaclopride_metab_5_OH_Imidacloprid	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

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

Uniqueness

Figure 169. Visualization of uniqueness of the data in the column.

Column: imidaclopride_metab_Desnitroimidacloprid

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

Parameter	Content
Column name	imidaclopride_metab_Desnitroimidacloprid
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
imidaclopride_metab_Desnitroimidacloprid	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 205. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
imidaclopride_metab_Desnitroimidacloprid	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: imidaclopride_metab_6_Cloronicotinc_acid

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

Parameter	Content
Column name	imidaclopride_metab_6_Cloronicotinc_acid
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
imidaclopride_metab_6_Cloronicotinc_acid	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 208. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
imidaclopride_metab_6_Cloronicotinc_acid	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 173. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 174. Visualization of completeness of the data in the column.

Uniqueness

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

Column: imidaclopride_metab_Olefin

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

Parameter	Content
Column name	imidaclopride_metab_Olefin
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
imidaclopride_metab_Olefin	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 211. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
imidaclopride_metab_Olefin	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 176. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 177. Visualization of completeness of the data in the column.

Uniqueness

Figure 178. Visualization of uniqueness of the data in the column.

Column: imidaclopride_metab_Urea_Derivate

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

Parameter	Content
Column name	imidaclopride_metab_Urea_Derivate
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
imidaclopride_metab_Urea_Derivate	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 214. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
imidaclopride_metab_Urea_Derivate	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

Figure 179. Distribution of 20 most common values, from highest to lowest.

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: thiaclopride

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

Parameter	Content
Column name	thiaclopride
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
thiaclopride	0 - 0	n/a		n/a	n/a	n/a		61	61 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.6% )

Table 217. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
thiaclopride	0.00%	1.64%	n/a	n/a

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: thiamethoxam

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

Parameter	Content
Column name	thiamethoxam
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
thiamethoxam	0 - 3	n/a		n/a	n/a	n/a	1,6	61	59 ( 96.7% )	1 ( 1.6% )	0 ( 0.0% )	3 ( 4.9% )

Table 220. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
thiamethoxam	3.28%	4.92%	n/a	0

Data Distribution Top 20

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

Completeness

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

Uniqueness

Figure 187. Visualization of uniqueness of the data in the column.

Table: Aggregation

Column: MLB_MOGELIJKE_ACTIEVE_STOFFEN_NAAM_FR

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

Parameter	Content
Column name	MLB_MOGELIJKE_ACTIEVE_STOFFEN_NAAM_FR
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
MLB_MOGELIJKE_ACTIEVE_STOFFEN_NAAM_FR	8 - 12	n/a	BOSCALID	n/a	n/a	n/a	PYRIMETHANIL	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.1% )

Table 223. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
MLB_MOGELIJKE_ACTIEVE_STOFFEN_NAAM_FR	100.00%	0.13%	BOSCALID	PYRIMETHANIL

Data Distribution Top 20

Figure 188. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 190. Visualization of uniqueness of the data in the column.

Column: HPNAAM

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

Parameter	Content
Column name	HPNAAM
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
HPNAAM	5 - 43	n/a	AGRICHIM DIM…	n/a	n/a	n/a	XEDATHANE-A	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	36 ( 1.5% )

Table 226. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
HPNAAM	100.00%	1.53%	INTERNUM WG	PHOSAN PLUS

Data Distribution Top 20

Figure 191. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 192. Distribution of 20 least common values, from lowest to highest.

Completeness

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

Uniqueness

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

Column: DATUM_AFLEVERING

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

Parameter	Content
Column name	DATUM_AFLEVERING
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
DATUM_AFLEVERING	10 - 10	n/a	01/07/2005	n/a	n/a	n/a	31/01/1995	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	49 ( 2.1% )

Table 229. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
DATUM_AFLEVERING	100.00%	2.08%	21/11/2011	29/09/2010

Completeness

Figure 195. Visualization of completeness of the data in the column.

Uniqueness

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

Column: DATUM_OPMAAK

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

Parameter	Content
Column name	DATUM_OPMAAK
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
DATUM_OPMAAK	9 - 10	n/a	1/07/2015	n/a	n/a	n/a	9/09/2015	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	41 ( 1.7% )

Table 232. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
DATUM_OPMAAK	100.00%	1.74%	9/09/2015	29/09/2010

Data Distribution Top 20

Figure 197. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

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

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: INGETROKKEN

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

Parameter	Content
Column name	INGETROKKEN
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
INGETROKKEN	1 - 1	n/a	N	n/a	n/a	n/a	Y	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.1% )

Table 235. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
INGETROKKEN	100.00%	0.09%	N	Y

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: DATUM_INTREKKING

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

Parameter	Content
Column name	DATUM_INTREKKING
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
DATUM_INTREKKING	0 - 10	n/a	01/01/2001	n/a	n/a	n/a	30/09/2009	2,352	1,860 ( 79.1% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 0.8% )

Table 238. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
DATUM_INTREKKING	20.92%	0.77%	n/a	29/09/2010

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.

Column: Composition

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

Parameter	Content
Column name	Composition
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Composition	13 - 64	n/a	100 g/L DIME…	n/a	n/a	n/a	95 g/L DIMET…	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	17 ( 0.7% )

Table 241. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Composition	100.00%	0.72%	26,7 % BOSCALID + 6,7 % PYRACLOSTROBINE	95 g/L DIMETHOATE + 100 g/L MALATHION + 100 g/L METHOXYCHLORE

Data Distribution Top 20

Figure 207. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 209. Visualization of uniqueness of the data in the column.

Column: MLB_MOGELIJKE_GEWASSEN_NAAM_FR

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

Parameter	Content
Column name	MLB_MOGELIJKE_GEWASSEN_NAAM_FR
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
MLB_MOGELIJKE_GEWASSEN_NAAM_FR	4 - 90	n/a	Chou chinois…	n/a	n/a	n/a	épinard (ple…	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	152 ( 6.5% )

Table 244. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
MLB_MOGELIJKE_GEWASSEN_NAAM_FR	100.00%	6.46%	plantes ornementales (non destinées à la consommation)	fenouil (plein air)

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: MLB_GEWAS_BEGINSTADIUM_FR

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

Parameter	Content
Column name	MLB_GEWAS_BEGINSTADIUM_FR
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
MLB_GEWAS_BEGINSTADIUM_FR	0 - 197	n/a	- immédiatem…	n/a	n/a	n/a	élongation i…	2,352	1,968 ( 83.7% )	0 ( 0.0% )	0 ( 0.0% )	29 ( 1.2% )

Table 247. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
MLB_GEWAS_BEGINSTADIUM_FR	16.33%	1.23%	n/a	/

Data Distribution Top 20

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

Data Distribution Bottom 20

Figure 213. Distribution of 20 least common values, from lowest to highest.

Completeness

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

Uniqueness

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

Column: DOSIS_OF_CONCENTRATIE_FR

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

Parameter	Content
Column name	DOSIS_OF_CONCENTRATIE_FR
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
DOSIS_OF_CONCENTRATIE_FR	7 - 187	n/a	- basses tig…	n/a	n/a	n/a	laagstam: 63…	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	121 ( 5.1% )

Table 250. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
DOSIS_OF_CONCENTRATIE_FR	100.00%	5.14%	0,5 l/ha, 1-2 applications	0,5 l/ha (een uitvloeier toevoegen).

Completeness

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

Uniqueness

Figure 217. Visualization of uniqueness of the data in the column.

Column: MLB_MOGELIJKE_VIJANDEN_NAAM_FR

Table 251. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	MLB_MOGELIJKE_VIJANDEN_NAAM_FR
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
MLB_MOGELIJKE_VIJANDEN_NAAM_FR	4 - 48	n/a	Drosophila s…	n/a	n/a	n/a	ériniose du…	2,352	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	74 ( 3.1% )

Table 253. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
MLB_MOGELIJKE_VIJANDEN_NAAM_FR	100.00%	3.15%	pourriture grise	insectes rongeurs et suceurs

Completeness

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

Uniqueness

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

Column: MLB_VIJAND_BEGINSTADIUM_FR

Table 254. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	MLB_VIJAND_BEGINSTADIUM_FR
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
MLB_VIJAND_BEGINSTADIUM_FR	0 - 57	n/a	Max. 2 appli…	n/a	n/a	n/a	selon les av…	2,352	2,158 ( 91.8% )	0 ( 0.0% )	0 ( 0.0% )	14 ( 0.6% )

Table 256. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
MLB_VIJAND_BEGINSTADIUM_FR	8.25%	0.60%	n/a	préventivement

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: EINDSTADIUM_FR

Table 257. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	EINDSTADIUM_FR
Description
Data type	Unknown
Descriptor
Unit	n/a

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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
EINDSTADIUM_FR	0 - 0	n/a		n/a	n/a	n/a		2,352	2,352 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 259. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
EINDSTADIUM_FR	0.00%	0.04%	n/a	n/a

Data Distribution Top 20

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

Completeness

Figure 224. Visualization of completeness of the data in the column.

Uniqueness

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

Table: DEPAB1_data

Column: Group

Table 260. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Group
Description	Colony group
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Group	7 - 8	n/a	Disorder	n/a	n/a	n/a	Healthy	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.0% )

Table 262. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Group	100.00%	0.01%	Healthy	Disorder

Data Distribution Top 20

Figure 226. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: Disorder

Table 263. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Disorder
Description	Disorder
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Disorder	1 - 1	0.5	0	0	0	1	1	27,295	0 ( 0.0% )	14,935 ( 54.7% )	0 ( 0.0% )	2 ( 0.0% )

Table 265. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Disorder	100.00%	0.01%	0	1

Data Distribution Top 20

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

Continuous Data Distribution

Figure 230. Distribution of values in the column.

Completeness

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

Uniqueness

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

Column: State

Table 266. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	State
Description	State
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
State	1 - 3	n/a	A	n/a	n/a	n/a	V	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.0% )

Table 268. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
State	100.00%	0.03%	V	MRA

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: Sample

Table 269. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Sample
Description	Sample ID
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Sample	9 - 14	n/a	1/08/2011	n/a	n/a	n/a	5/08/2011	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	85 ( 0.3% )

Table 271. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Sample	100.00%	0.31%	12-09-0961-055	22/07/2011

Data Distribution Top 20

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

Data Distribution Bottom 20

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

Completeness

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

Uniqueness

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

Column: IDApiary

Table 272. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	IDApiary
Description	Apiary ID
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
IDApiary	2 - 3	n/a	15A	n/a	n/a	n/a	8A	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	21 ( 0.1% )

Table 274. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
IDApiary	100.00%	0.08%	40A	15A

Data Distribution Top 20

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

Data Distribution Bottom 20

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

Completeness

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

Uniqueness

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

Column: IDColony

Table 275. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	IDColony
Description	Colony ID
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
IDColony	3 - 4	n/a	15A3	n/a	n/a	n/a	8A3	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	53 ( 0.2% )

Table 277. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
IDColony	100.00%	0.19%	15A3	15A3

Data Distribution Top 20

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

Data Distribution Bottom 20

Figure 245. Distribution of 20 least common values, from lowest to highest.

Completeness

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

Uniqueness

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

Column: Visit

Table 278. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Visit
Description	Visit Period
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Visit	1 - 1	1.6	1	1	2	2	2	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.0% )

Table 280. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Visit	100.00%	0.01%	2	1

Data Distribution Top 20

Figure 248. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 249. Distribution of values in the column.

Outliers

Figure 250. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: Matrix

Table 281. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Matrix
Description	Matrix
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Matrix	3 - 8	n/a	Bee	n/a	n/a	n/a	Wax	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 0.0% )

Table 283. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Matrix	100.00%	0.01%	Honey	Bee

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: Stressor

Table 284. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Stressor
Description	Stressor
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Stressor	5 - 9	n/a	Pesticide	n/a	n/a	n/a	Virus	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.0% )

Table 286. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Stressor	100.00%	0.01%	Pesticide	Virus

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: Type

Table 287. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Type
Description	Mode of Action 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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Type	1 - 2	n/a	A	n/a	n/a	n/a	V	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	7 ( 0.0% )

Table 289. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Type	100.00%	0.03%	F	S

Data Distribution Top 20

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

Completeness

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

Uniqueness

Figure 261. Visualization of uniqueness of the data in the column.

Column: Name

Table 290. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Name
Description	Active substance ID
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Name	3 - 20	n/a	2,4-D	n/a	n/a	n/a	Zoxamide	27,295	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	106 ( 0.4% )

Table 292. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Name	100.00%	0.39%	Abamectin	ABPV

Data Distribution Top 20

Figure 262. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 263. Distribution of 20 least common values, from lowest to highest.

Completeness

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

Uniqueness

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

Column: Value

Table 293. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

Table 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Value	1 - 2	n/a		n/a	n/a	n/a	NA	27,295	0 ( 0.0% )	25,665 ( 94.0% )	0 ( 0.0% )	3 ( 0.0% )

Table 295. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
Value	100.00%	0.01%	0	1

Data Distribution Top 20

Figure 266. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Table: lib_pollen

Column: Pollen_name

Table 296. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Pollen_name
Description	Pollen name as used in the different dataset including errors, typos etc...
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Pollen_name	5 - 28	n/a	Anacardiacée…	n/a	n/a	n/a	type rhamnac…	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	51 ( 98.1% )

Table 298. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in 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_name	100.00%	98.08%	Ronces	Anacardiacées

Completeness

Figure 269. Visualization of completeness of the data in the column.

Uniqueness

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

Column: Pollen_type

Table 299. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Pollen_type
Description	Clean pollen categories to be used (with some groupings)
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Pollen_type	5 - 14	n/a	Anacardiacea…	n/a	n/a	n/a	unknown	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	35 ( 67.3% )

Table 301. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in 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_type	100.00%	67.31%	Asteraceae	Anacardiaceae

Completeness

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

Uniqueness

Figure 272. Visualization of uniqueness of the data in the column.

Column: Pollen_familly

Table 302. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Pollen_familly
Description	Botanical fammily of the pollen species
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Pollen_familly	7 - 15	n/a	Anacardiacea…	n/a	n/a	n/a	unknown	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	29 ( 55.8% )

Table 304. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in 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_familly	100.00%	55.77%	Asteraceae	Anacardiaceae

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: Pollen_code

Table 305. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	Pollen_code
Description	Short code for Pollen_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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
Pollen_code	3 - 3	n/a	ana	n/a	n/a	n/a	vic	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	35 ( 67.3% )

Table 307. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in 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_code	100.00%	67.31%	ast	ana

Completeness

Figure 275. Visualization of completeness of the data in the column.

Uniqueness

Figure 276. Visualization of uniqueness of the data in the column.

Column: polar_ref

Table 308. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	polar_ref
Description	Range of known sizes + letter providing the source of information Sources for the pollen sizes (from the scientific report of DEPAB1) a – Source : Pollens de plantes mellifères d'Europe b- Source : "http://www-saps.plantsci.cam.ac.uk/pollen/" c – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-11-35-2/bot-35-2-5-0906-70.pdf" d – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-99-23-3/bot-23-3-3-97003.pdf" e – Source : "http://nhm.openrepository.com/nhm/bitstream/10141/12605/1/Tweddle_Edwards_Fieller_Multivariate.pdf" f – Source : "http://www.geo.arizona.edu/palynology/pid00042.html" g – Source : "http://www.landesmuseum.at/pdf_frei_remote/PHY_20_3_4_0307-0323.pdf" h – Source : banque de données du CARI n - Noa pers.comm.e-mail 4/2/2015 = h Note – Lorsque la dimension équatoriale n'est pas indiquée, le pollen peut être considéré comme sphérique
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
polar_ref	2 - 9	n/a	11a	n/a	n/a	n/a	>40e	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	31 ( 59.6% )

Table 310. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
polar_ref	100.00%	59.62%	31a	30b

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: equatorial_ref

Table 311. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	equatorial_ref
Description	Range of known sizes + letter providing the source of information Sources for the pollen sizes (from the scientific report of DEPAB1) a – Source : Pollens de plantes mellifères d'Europe b- Source : "http://www-saps.plantsci.cam.ac.uk/pollen/" c – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-11-35-2/bot-35-2-5-0906-70.pdf" d – Source : "http://journals.tubitak.gov.tr/botany/issues/bot-99-23-3/bot-23-3-3-97003.pdf" e – Source : "http://nhm.openrepository.com/nhm/bitstream/10141/12605/1/Tweddle_Edwards_Fieller_Multivariate.pdf" f – Source : "http://www.geo.arizona.edu/palynology/pid00042.html" g – Source : "http://www.landesmuseum.at/pdf_frei_remote/PHY_20_3_4_0307-0323.pdf" h – Source : banque de données du CARI n - Noa pers.comm.e-mail 4/2/2015 = h Note – Lorsque la dimension équatoriale n'est pas indiquée, le pollen peut être considéré comme sphérique
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
equatorial_ref	0 - 7	n/a	10-12c	n/a	n/a	n/a	8a	52	27 ( 51.9% )	0 ( 0.0% )	0 ( 0.0% )	15 ( 28.8% )

Table 313. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
equatorial_ref	48.08%	28.85%	n/a	10-12c

Completeness

Figure 279. Visualization of completeness of the data in the column.

Uniqueness

Figure 280. Visualization of uniqueness of the data in the column.

Column: p

Table 314. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	p
Description	Polar size effectively used (for ranges we used the mean of the extreme values)
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
p	2 - 4	30.00	11	22	30	35	67.5	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	23 ( 44.2% )

Table 316. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
p	100.00%	44.23%	40	22.5

Continuous Data Distribution

Figure 281. Distribution of values in the column.

Outliers

Figure 282. Visualization of median, min, max, and outliers in the column.

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: q

Table 317. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	q
Description	Equatorial 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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
q	1 - 4	30.98	8	22.25	30	39.375	67.5	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	24 ( 46.2% )

Table 319. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
q	100.00%	46.15%	30	11

Continuous Data Distribution

Figure 285. Distribution of values in the column.

Outliers

Figure 286. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 287. Visualization of completeness of the data in the column.

Uniqueness

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

Column: vol

Table 320. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	vol
Description	Volume of the ellipsoid calculated from r & q as 4/3 * r/2 *(q/2)^2
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
vol	6 - 9	20,974.417	368.61	5,548.58	14,137.17	26,299.6	161,031.17	52	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	27 ( 51.9% )

Table 322. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
vol	100.00%	51.92%	22449.3	1425.5

Continuous Data Distribution

Figure 289. Distribution of values in the column.

Outliers

Figure 290. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 292. Visualization of uniqueness of the data in the column.

Column: r

Table 323. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	r
Description	Mean radius used by louis to calculate the volume as a sphere
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
r	2 - 5	29.569	9.5	21.5	30	35	50	52	5 ( 9.6% )	0 ( 0.0% )	0 ( 0.0% )	22 ( 42.3% )

Table 325. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
r	90.38%	42.31%	n/a	16.75

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: vol_r

Table 326. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	vol_r
Description	Volume used by Louis based on r
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
vol_r	5 - 8	16,330.984	15.25	5,203.72	10,889.22	22,449.3	65,449.85	52	5 ( 9.6% )	0 ( 0.0% )	0 ( 0.0% )	23 ( 44.2% )

Table 328. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
vol_r	90.38%	44.23%	n/a	2460.61

Continuous Data Distribution

Figure 297. Distribution of values in the column.

Outliers

Figure 298. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 299. Visualization of completeness of the data in the column.

Uniqueness

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

Table: coordinates

Column: IDApiary

Table 329. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	IDApiary
Description	Apiary ID
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
IDApiary	2 - 3	n/a	11A	n/a	n/a	n/a	8A	44	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	44 ( 100.0% )

Table 331. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
IDApiary	100.00%	100.00%	15A	15A

Completeness

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

Uniqueness

Figure 302. Visualization of uniqueness of the data in the column.

Column: long

Table 332. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	long
Description	Longitude
Data type	Decimal number
Descriptor	dwc:decimalLongitude [UID:0.0.LNGTD332]
Descriptor description	A term from the Darwin Core standard: The geographic longitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are east of the Greenwich Meridian, negative values are west of it. Legal values lie between -180 and 180, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLongitude
Unit	°

Table 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
long	3 - 4	4.703	3.38	4.44	4.58	5.2475	5.76	44	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	37 ( 84.1% )

Table 334. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
long	100.00%	84.09%	5.57	3.38

Continuous Data Distribution

Figure 303. Distribution of values in the column.

Outliers

Figure 304. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 306. Visualization of uniqueness of the data in the column.

Column: lat

Table 335. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	lat
Description	Latitude
Data type	Decimal number
Descriptor	dwc:decimalLatitude [UID:0.0.LTTDE333]
Descriptor description	A term from the Darwin Core standard: The geographic latitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic center of a dcterms:Location. Positive values are north of the Equator, negative values are south of it. Legal values lie between -90 and 90, inclusive.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/decimalLatitude
Unit	°

Table 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
lat	4 - 5	50.507	49.57	50.43	50.565	50.66	50.78	44	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	30 ( 68.2% )

Table 337. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
lat	100.00%	68.18%	50.65	50.63

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.