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Dataset Report

Unique identifier:	VTCSS14.0.0
Title:	Vetcases
Long title:	Reports of notifiable diseases reported for Apis mellifera
Status:	Quality Validated
Current Version:	v. 1.0
Published:	2023-06-13
Reviewed by:
Citation proposal:	Biene Österreich – Imkereidachverband 2023 Report of dataset Vetcases, v. 1.0 [VTCSS14.0.0]. EU Pollinator Hub. [2025-07-01] 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
  1. Kvg
  2. Vetcaseat
  3. Vetcasebe
  4. Vetcasesat22
  5. Vetcase
  6. References
References
Annex 1: Table column reports

Document history

Release

Version v. 1.0 released on 2023-06-13.

Revision

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

No	Date	Description	Reason
1	2023-06-13 00:06:00	Initial release.	n/a

Abbreviations

AFB

American foulbrood of honey bees

BMSGPK

Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz (Austrian Federal Ministry of Social Affairs, Health, Care and Consumer Protection)

EFB

European foulbrood of honey bees

EFSA

European Food Safety Authority

FAVV-AFSCA

Federaal Agentschap voor de veiligheid van de voedselketen - Agence fédérale pour la sécurité de la chaîne alimentaire (Federal Agency for the Safety of the Food Chain)

KVG

Kommunikationsplattform Verbrauchergesundheit (Consumer Health Communication Platform)

StLVB

Steirischer Landesverband für Bienenzucht (Styrian Beekeepers Association)

n.a.

not available

Executive summary

Data overview:

Data value:

This dataset was collected to provide an example for a comprehensive overview on the frequency and location of notified outbreaks of honey bee diseases in different countries and regions.

Data description:

The dataset contains 5 files with outbreaks of notifiable diseases from Belgium and Austria.

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

This data is suited to produce concise tabular and graphical overviews and summaries on notified outbreaks of honey bee diseases in different countries and regions. Possible research questions include the following:

Unresolved issues:

n/a

Introduction

This dataset contains a list of outbreaks of honey (Apis mellifera L.) disease from various sources in Austria and Belgium for which legislation provides for compulsory notification to the veterinary authorities (referred to as notifiable diseases). Since 13.06.2022 (law no. 2022041357) Regulation (EU) 2016/429 from 09.03.2016 on transmissible animal diseases and amending and repealing certain acts in the area of animal health (“Animal Health Law”) entered into force. According to Article 18 the following notifiable honey bee diseases are listed in annex II: infestation with Varroa spp. (Varroosis), infestation with Aethina tumida (Small hive beetle), American foulbrood, infestation with Tropilaelaps spp. In Belgium, until 10.06.2022 notification of honey bee diseases was regulated by the animal health law (dierengezondheidswet / loi relative à la santé des animaux), which entered into force on 27.04.1987 (law no. 19870106057). The following diseases had to be notified: infestation with the tracheal mite (Acarapis woodi), American foulbrood (Paenibacillus larvae), European foulbrood (Melissococcus plutonius), infestation with the small hive beetle (Aethina tumida), infestation with Tropilaelaps mites (Tropilaelaps spp). Since 17.07.2014 (law no. 2014024272) Varroosis has been removed from the list of notifiable diseases. In Austria notification of honey bee diseases is currently regulated in the bee disease law (Bundesgesetz vom 25. Mai 1988 über die Bekämpfung ansteckender Krankheiten der Bienen; Bienenseuchengesetz), which entered into force on 25.05.1988 (law no. 290/1988). The following diseases have to be notified: American foulbrood (Paenibacillus larvae), infestation with the small hive beetle (Aethina tumida), infestation with Tropilaelaps mites (Tropilaelaps spp), Varroosis in case of an imminent or actual death of at least 30% of the colonies in an apiary. Since 05.07.2005 (law no. 67/2005) Nosemosis has been removed from the list of notifiable diseases. Regulation (EU) 2016/429 has not been implemented to date.

Material and methods

Data acquisition

Data on notified outbreaks of animal diseases in Austria were obtained from monthly animal health reports available on the Website of the Consumer Health Communication Platform (Kommunikationsplattform Verbrauchergesundheit, KVG) provided by the Austrian Federal Ministry of Social Affairs, Health, Care and Consumer Protection (Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz, BMSGPK). Monthly issued animal health reports for 2015 [1], 2016 [2], 2017 [3], 2018 [4], 2019 [5] and part of 2020 [6], available in PDF and XLSX format, were downloaded from the website. Data from 2021 [7] and 2022 [8] was obtained from summary animal health reports available at the same location. Data on notified outbreaks of honey bee diseases for Belgium were obtained from a website provided by the Belgium food safety authority (Agence Fédérale pour la Sécurité de la Chaîne Alimentaire, FAVV-AFSCA) [9]. The data source for each record is referenced in the dataset.

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

No	File	Type	D	M	Arrival	Data points	File size
1	euph_000014_vetcases_table_kvg.csv	CSV - Comma seperated values	Yes	No	2024-01-29 08:01:36	311,922	3.27 MiB
2	euph_000014_vetcases_table_vetcaseat.csv	CSV - Comma seperated values	Yes	No	2024-01-29 08:01:10	7,695	72.45 KiB
3	euph_000014_vetcases_table_vetcasebe.csv	CSV - Comma seperated values	Yes	No	2023-12-05 16:12:13	1,176	10.79 KiB
4	vetcaseat22_blurred.csv	CSV - Comma seperated values	Yes	No	2023-12-14 09:12:40	6,552	78.21 KiB
5	euph_000014_vetcases_table_vetcase.csv	CSV - Comma seperated values	Yes	No	2024-01-29 08:01:00	9,552	86.47 KiB
6	euph_000014_vetcases_table_references.csv	CSV - Comma seperated values	Yes	No	2024-01-29 08:01:57	240	39.40 KiB

Data preparation

Raw data from BMSGPK was, if necessary, converted to a Microsoft® Excel® Document (*.xlsx) using Adobe Acrobat Reader DC (Adobe, Version 2022.002.20212) rearranged and further processed with Excel (Microsoft Corporation, version 16.0.15601.20148). Data from FAVV-AFSCA was inserted manually into Excel. Data was then exported from Excel to a CSV format (coding: UTF-8) and subsequently imported for profiling into a SQL database (MariaDB foundation, Server-Version 10.4.24) running in a XAMPP environment (BitRock, version 3.3.0). Data was exported from the MySQL database to CSV format using windows-1252 coding.

Data validation

None

Data analysis

None

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	Kvg	Data in this table was obtained from the Consumer Health Communication Platform (Kommunikationsplattform Verbrauchergesundheit, KVG) provided by the Austrian Federal…
2	Vetcaseat	Data in this table was obtained from the Consumer Health Communication Platform (Kommunikationsplattform Verbrauchergesundheit, KVG) provided by the Austrian Federal…
3	Vetcasebe	Data in this table was obtained from the Belgian Federal Agency for the Safety of the Food Chain (Federaal Agentschap…
4	Vetcasesat22	Data in this table was obtained from the Styrian Beekeepers Association (Steirischer Landesverband für Bienenzucht, StLVB), which is the biggest…
5	Vetcase	Data in this table was was merged from tables vetcaseat and vetcasebe.
6	References	The table contains references to sources (books, scientific journals, technical journals, websites) from which data in this dataset was obtained.

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

Parameter	Content
interactions.single.uid	VTCSS14.0.0
Title	Vetcases
Long title	Reports of notifiable diseases reported for Apis mellifera
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/VTCSS14.0.0
interactions.single.section-details.licence	CC BY-NC-SA 4.0
DOI	n/a
Created	2023-02-08
Published	2023-06-13
Contact	n/a
Keywords	AFB, American foulbrood, Austria, Belgium, EFB, European foulbrood, Steiermark, disease
Data collection years	2000-2022
Regions, the data was collected in	Belgique/België, Steiermark, Österreich
Abstract	This dataset contains data from various sources on the outbreak of notifiable diseases reported for honey bees (Apis mellifera) in Belgium and Austria from 2000 to 2022.

Table 5. Standardised metadata of the data provider Biene Österreich – Imkereidachverband. Reported parameter (Parameter); content of the parameter (Content).

Parameter	Content
Name	Biene Österreich – Imkereidachverband
Url
Acronym	BÖ
IRI	https://app.pollinatorhub.eu/data-providers/boe
Contact	Georg-Coch Platz 3/11a, 1010 Wien www.biene-oesterreich.at office@biene-oesterreich.at
Description	The Austrian Beekeepers Federation (BÖ, Biene Österreich-Imkereidachverband) is the umbrella organisation of the two largest beekeeping associations in Austria, the Austrian Beekepers Association (ÖIB, Österreichischer Imkerbund) and the Austrian Professional Beekeepers Association (ÖEIB, Österreichischer Erwerbsimkerbund).

Tables

Kvg

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

Parameter	Content
Unique identifier	VTCSS14.KVGAB29.0
Name	Kvg
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/VTCSS14.KVGAB29.0
Table Type	File
Licence	KVG-BMSGPK
Description	Data in this table was obtained from the Consumer Health Communication Platform (Kommunikationsplattform Verbrauchergesundheit, KVG) provided by the Austrian Federal Ministry of Social Affairs, Health, Care and Consumer Protection (Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz, BMSGPK). It contains information on food and consumer protection as well as animal health and animal welfare, among which outbreaks of notifiable honey bee diseases from 2015 to 2020 in Austria (AT).

Data in this table was obtained from the Consumer Health Communication Platform (Kommunikationsplattform Verbrauchergesundheit, KVG) provided by the Austrian Federal Ministry of Social Affairs, Health, Care and Consumer Protection (Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz, BMSGPK). It contains information on food and consumer protection as well as animal health and animal welfare, among which outbreaks of notifiable honey bee diseases from 2015 to 2020 in Austria (AT).

Metadata

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

Column Name	Column Description	Datatype	Descriptor	Unit
id	Identifier of the record.	String	pms:recordID [0.0.RCRDD344]	n/a
year	Reporting period (calendar year).	Integer number	dwc:year [0.0.YEARA340]	year
month	Reporting period (calendar month).	Integer number	iso-8601:calendarMonth [0.0.CLNDR376]	n/a
casenumber	Case number adopted by BMSGPK.	String	casenumber [VTCSS14.0.CSNMB379]	n/a
disease	Name of the disease.	String	pms:disease [0.0.HNYBD375]	n/a
item	Description of the reported item.	String	Text [0.0.TEXTA315]	n/a
datestart	Date of establishment of a quarantine area. Official start of outbreak.	Date	pms:startDate [0.0.STRTD805]	n/a
dateend	Date of lifting of a quarantine area. Official end of outbreak.	Date	pms:endDate [0.0.NDDTE806]	n/a
districtcode	Official code of the district (Politischer Bezirk) in which the notified outbreak occurred.	Integer number	eurostat:PoliticalDistrictID [0.0.PLTCL128]	n/a
unit	Unit in which the value is reported.	String	Text [0.0.TEXTA315]	n/a
value	Reported value.	Integer number	Integer [0.0.NTGER313]	no.
annotation	Detailed annotation to the value.	String	Text [0.0.TEXTA315]	n/a
sourceId	Reference to the data source.	Integer number	Source ID [VTCSS14.0.SRCDA377]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
id	1 - 5	12,157.5	1	5,998.75	12,141.5	18,284.25	24,378	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	23,994 ( 100.0% )
year	4 - 4	2,016.8	2,015	2,016	2,016	2,018	2,020	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.0% )
month	1 - 2	6.5	1	4	7	9	12	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 0.1% )
casenumber	15 - 15	n/a	TKH-2012-000…	n/a	n/a	n/a	TKH-2020-000…	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	525 ( 2.2% )
disease	32 - 32	n/a	American fou…	n/a	n/a	n/a	American fou…	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
item	13 - 42	n/a	Dead colonie…	n/a	n/a	n/a	Susceptible…	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.0% )
datestart	10 - 10	2,016.0	2012-03-20	2,015	2,016	2,017	2020-03-30	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	344 ( 1.4% )
dateend	0 - 10	2,017.0	2015-01-15	2,016	2,016	2,018	2019-11-25	23,994	20,760 ( 86.5% )	0 ( 0.0% )	0 ( 0.0% )	221 ( 0.9% )
districtcode	3 - 3	489.9	106	323	504	616	900	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	70 ( 0.3% )
unit	6 - 6	n/a	number	n/a	n/a	n/a	number	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )
value	1 - 3	2.5	0	0	0	2	113	23,994	0 ( 0.0% )	14,998 ( 62.5% )	0 ( 0.0% )	46 ( 0.2% )
annotation	0 - 130	n/a		n/a	n/a	n/a	Corrected fr…	23,994	23,991 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 0.0% )
sourceId	1 - 2	31.9	1	15	32	50	61	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	61 ( 0.3% )

Quality measures

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

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
id	100.00%	100.00%	1	1
year	100.00%	0.03%	2016	2020
month	100.00%	0.05%	9	12
casenumber	100.00%	2.19%	TKH-2014-000454	TKH-2016-000451
disease	100.00%	0.00%	American foulbrood of honey bees	American foulbrood of honey bees
item	100.00%	0.03%	Susceptible livestock at start of outbreak	Susceptible livestock at start of outbreak
datestart	100.00%	1.43%	2016-05-25	2016-04-29
dateend	13.48%	0.92%	null	2018-05-07
districtcode	100.00%	0.29%	614	106
unit	100.00%	0.00%	number	number
value	100.00%	0.19%	0	48
annotation	0.01%	0.02%	null	Corrected from 10000 to 1. Michael Rubinigg 05.07.2021. Reason: value obviously wrong, replaced by the most plausible real value.
sourceId	100.00%	0.25%	59	43

Changes made to preparatory file

Changes made to data

None

Unresolved issues

None

Vetcaseat

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

Parameter	Content
Unique identifier	VTCSS14.VTCST30.0
Name	Vetcaseat
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/VTCSS14.VTCST30.0
Table Type	File
Licence	KVG-BMSGPK
Description	Data in this table was obtained from the Consumer Health Communication Platform (Kommunikationsplattform Verbrauchergesundheit, KVG) provided by the Austrian Federal Ministry of Social Affairs, Health, Care and Consumer Protection (Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz, BMSGPK). It contains the number of notified outbreaks of notifiable honey bee diseases from 2015 to 2022 on apiaries in Austria, aggregated by calendar month and district (Politischer Bezirk) or NUTS2 region (if district is NULL).

Data in this table was obtained from the Consumer Health Communication Platform (Kommunikationsplattform Verbrauchergesundheit, KVG) provided by the Austrian Federal Ministry of Social Affairs, Health, Care and Consumer Protection (Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz, BMSGPK). It contains the number of notified outbreaks of notifiable honey bee diseases from 2015 to 2022 on apiaries in Austria, aggregated by calendar month and district (Politischer Bezirk) or NUTS2 region (if district is NULL).

Metadata

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

Column Name	Column Description	Datatype	Descriptor	Unit
id	Identifier of the record.	String	pms:recordID [0.0.RCRDD344]	n/a
year	Reporting period (calendar year).	Integer number	dwc:year [0.0.YEARA340]	year
month	Reporting period (calendar month).	Integer number	iso-8601:calendarMonth [0.0.CLNDR376]	n/a
casenumber	Case number adopted by BMSGPK.	String	casenumber [VTCSS14.0.CSNMB379]	n/a
disease	Name of the disease.	String	pms:disease [0.0.HNYBD375]	n/a
animalspecies	The GBIF Taxon ID of the animal species concerned by the notified outbreak. It is the number following the URL https://www.gbif.org/species/, which points to a taxonomic rank.	Integer number	pms:gbifTaxonID [0.0.GBFTX336]	n/a
datestart	Date of establishment of a quarantine area. Official start of outbreak.	Date	pms:startDate [0.0.STRTD805]	n/a
dateend	Date of lifting of a quarantine area. Official end of outbreak.	Date	pms:endDate [0.0.NDDTE806]	n/a
country	ISO 3166-1 alpha-3 code of the country in which the notified outbreak occurred.	String	iso-3166:alpha-3CountryCode [0.0.LPHCN5]	n/a
nuts	Nuts code of the geographic entity in which the notified outbreak occurred.	String	eurostat:nuts2021Code [0.0.NTSCD55]	n/a
districtcode	Official code of the district (Politischer Bezirk) in which the notified outbreak occurred.	Integer number	eurostat:PoliticalDistrictID [0.0.PLTCL128]	n/a
unit	Unit in which the value is reported.	String	Text [0.0.TEXTA315]	n/a
value	Number of notified outbreaks (on an apiary basis) per district (Politischer Bezirk) or NUTS2 region (if district is NULL) and month.	Integer number	Integer [0.0.NTGER313]	no.
annotation	Detailed annotation to the value.	String	Text [0.0.TEXTA315]	n/a
sourceid	Reference to the data source.	Integer number	Source ID [VTCSS14.0.SRCDA377]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
id	1 - 3	257.0	1	128.5	257	385.5	513	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	513 ( 100.0% )
year	4 - 4	2,017.3	2,015	2,016	2,017	2,019	2,022	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	8 ( 1.6% )
month	1 - 2	6.3	1	5	6	8	12	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 2.3% )
casenumber	0 - 15	n/a		n/a	n/a	n/a	TKH-2020-000…	513	53 ( 10.3% )	0 ( 0.0% )	0 ( 0.0% )	461 ( 89.9% )
disease	32 - 94	n/a	American fou…	n/a	n/a	n/a	Varroosis in…	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.4% )
animalspecies	7 - 7	1,341,976.0	1,341,976	1,341,976	1,341,976	1,341,976	1,341,976	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )
datestart	0 - 10	2,017.0	2015-01-07	2,016	2,016	2,018	2020-03-30	513	53 ( 10.3% )	0 ( 0.0% )	0 ( 0.0% )	298 ( 58.1% )
dateend	0 - 10	2,017.0	2015-04-08	2,016	2,017	2,018	2019-11-25	513	157 ( 30.6% )	0 ( 0.0% )	0 ( 0.0% )	193 ( 37.6% )
country	3 - 3	n/a	AUT	n/a	n/a	n/a	AUT	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )
nuts	4 - 4	n/a	AT11	n/a	n/a	n/a	AT34	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	9 ( 1.8% )
districtcode	3 - 3	489.6	106	323	504	620	900	513	53 ( 10.3% )	0 ( 0.0% )	0 ( 0.0% )	68 ( 13.3% )
unit	6 - 6	n/a	number	n/a	n/a	n/a	number	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )
value	1 - 2	1.1	1	1	1	1	11	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	8 ( 1.6% )
annotation	0 - 0	n/a		n/a	n/a	n/a		513	513 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )
sourceid	1 - 2	46.8	1	33	56	61	80	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	52 ( 10.1% )

Quality measures

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

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
id	100.00%	100.00%	1	1
year	100.00%	1.56%	2016	2020
month	100.00%	2.34%	5	12
casenumber	89.67%	89.86%	null	TKH-2014-000443
disease	100.00%	0.39%	American foulbrood of honey bees	Varroosis in the case of imminent or actual death of at least 30% of the colonies in an apiary
animalspecies	100.00%	0.19%	1341976	1341976
datestart	89.67%	58.09%	null	2015-01-07
dateend	69.40%	37.62%	null	2015-05-04
country	100.00%	0.19%	AUT	AUT
nuts	100.00%	1.75%	AT12	AT13
districtcode	89.67%	13.26%	504	307
unit	100.00%	0.19%	number	number
value	100.00%	1.56%	1	5
annotation	0.00%	0.19%	null	null
sourceid	100.00%	10.14%	61	4

Changes made to preparatory file

None

Changes made to data

None

Unresolved issues

None

Vetcasebe

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

Parameter	Content
Unique identifier	VTCSS14.VTCSB31.0
Name	Vetcasebe
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/VTCSS14.VTCSB31.0
Table Type	File
Licence	FAVV-AFSCA
Description	Data in this table was obtained from the Belgian Federal Agency for the Safety of the Food Chain (Federaal Agentschap voor de veiligheid van de voedselketen - Agence fédérale pour la sécurité de la chaîne alimentaire, FAVV-AFSCA), which is responsible for the assessment and management of risks that may be harmful to the health of consumers as well as the health of animals and plants. It provides outbreaks of notifiable honey bee diseases from 2006 to 2022 in Belgium (BE).

Data in this table was obtained from the Belgian Federal Agency for the Safety of the Food Chain (Federaal Agentschap voor de veiligheid van de voedselketen - Agence fédérale pour la sécurité de la chaîne alimentaire, FAVV-AFSCA), which is responsible for the assessment and management of risks that may be harmful to the health of consumers as well as the health of animals and plants. It provides outbreaks of notifiable honey bee diseases from 2006 to 2022 in Belgium (BE).

Metadata

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

Column Name	Column Description	Datatype	Descriptor	Unit
id	Identifier of the record.	String	pms:recordID [0.0.RCRDD344]	n/a
year	Reporting period (calendar year).	Integer number	dwc:year [0.0.YEARA340]	year
month	Reporting period (calendar month).	Integer number	iso-8601:calendarMonth [0.0.CLNDR376]	n/a
disease	Name of the disease.	String	pms:disease [0.0.HNYBD375]	n/a
animalspecies	The GBIF Taxon ID of the animal species concerned by the notified outbreak. It is the number following the URL https://www.gbif.org/species/, which points to a taxonomic rank.	Integer number	pms:gbifTaxonID [0.0.GBFTX336]	n/a
datestart	Date of establishment of a quarantine area. Official start of outbreak.	Date	pms:startDate [0.0.STRTD805]	n/a
dateend	Date of lifting of a quarantine area. Official end of outbreak.	Date	pms:endDate [0.0.NDDTE806]	n/a
country	ISO 3166-1 alpha-3 code of the country in which the notified outbreak occurred.	String	iso-3166:alpha-3CountryCode [0.0.LPHCN5]	n/a
nuts	Nuts code of the geographic entity in which the notified outbreak occurred.	String	eurostat:nuts2021Code [0.0.NTSCD55]	n/a
postcode	Postcode of the location in which the notified outbreak occurred.	String	eurostat:postcode [0.0.PSTCD378]	n/a
unit	Unit in which the value is reported.	String	Text [0.0.TEXTA315]	n/a
value	Number of notified outbreaks (on an apiary basis) per postcode or NUTS region (if postcode is NULL) and month or year (if month is NULL).	Integer number	Integer [0.0.NTGER313]	no.
annotation	Detailed annotation to the value.	String	Text [0.0.TEXTA315]	n/a
sourceid	Reference to the data source.	Integer number	Source ID [VTCSS14.0.SRCDA377]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
id	3 - 3	555.5	514	534.25	555.5	576.75	597	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	84 ( 100.0% )
year	4 - 4	2,018.1	2,006	2,018	2,019	2,020	2,022	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	17 ( 20.2% )
month	1 - 2	6.8	4	6	7	8	11	84	12 ( 14.3% )	0 ( 0.0% )	0 ( 0.0% )	8 ( 9.5% )
disease	32 - 32	n/a	American fou…	n/a	n/a	n/a	European fou…	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.4% )
animalspecies	7 - 7	1,341,976.0	1,341,976	1,341,976	1,341,976	1,341,976	1,341,976	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.2% )
datestart	0 - 10	2,019.0	2014-06-05	2,018	2,019	2,020	2022-08-30	84	12 ( 14.3% )	0 ( 0.0% )	0 ( 0.0% )	59 ( 70.2% )
dateend	0 - 10	2,020.0	2014-08-06	2,019	2,020	2,021	2022-11-26	84	15 ( 17.9% )	0 ( 0.0% )	0 ( 0.0% )	27 ( 32.1% )
country	3 - 3	n/a	BEL	n/a	n/a	n/a	BEL	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.2% )
nuts	2 - 5	n/a	BE	n/a	n/a	n/a	BE353	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	19 ( 22.6% )
postcode	4 - 4	6,327.6	1,549	6,180	6,740	7,332	9,255	84	12 ( 14.3% )	0 ( 0.0% )	0 ( 0.0% )	34 ( 40.5% )
unit	6 - 6	n/a	number	n/a	n/a	n/a	number	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.2% )
value	1 - 2	1.8	0	1	1	1	36	84	0 ( 0.0% )	3 ( 3.6% )	0 ( 0.0% )	9 ( 10.7% )
annotation	0 - 0	n/a		n/a	n/a	n/a		84	84 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.2% )
sourceid	2 - 2	78.1	78	78	78	78	79	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.4% )

Quality measures

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

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
id	100.00%	100.00%	514	514
year	100.00%	20.24%	2020	2006
month	85.71%	9.52%	7	11
disease	100.00%	2.38%	American foulbrood of honey bees	European foulbrood of honey bees
animalspecies	100.00%	1.19%	1341976	1341976
datestart	85.71%	70.24%	null	2014-06-05
dateend	82.14%	32.14%	null	2014-08-06
country	100.00%	1.19%	BEL	BEL
nuts	100.00%	22.62%	BE323	BE221
postcode	85.71%	40.48%	6280	7973
unit	100.00%	1.19%	number	number
value	100.00%	10.71%	1	5
annotation	0.00%	1.19%	null	null
sourceid	100.00%	2.38%	78	79

Changes made to preparatory file

None

Changes made to data

None

Unresolved issues

None

Vetcasesat22

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

Parameter	Content
Unique identifier	VTCSS14.VTCSS32.0
Name	Vetcasesat22
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/VTCSS14.VTCSS32.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table was obtained from the Styrian Beekeepers Association (Steirischer Landesverband für Bienenzucht, StLVB), which is the biggest beekeeping association in the region of Styria. It contains outbreaks of American foulbrood from 2000 to 2022 in Styria (AT22).

Data in this table was obtained from the Styrian Beekeepers Association (Steirischer Landesverband für Bienenzucht, StLVB), which is the biggest beekeeping association in the region of Styria. It contains outbreaks of American foulbrood from 2000 to 2022 in Styria (AT22).

Metadata

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

Column Name	Column Description	Datatype	Descriptor	Unit
id	Identifier of the record.	String	pms:recordID [0.0.RCRDD344]	n/a
disease	Name of the disease.	String	pms:disease [0.0.HNYBD375]	n/a
municipalitycode	Official code of the municipality (Gemeindekennziffer) in which the notified outbreak occurred.	Integer number	eurostat:MunicipalityCode [0.0.MNCPL132]	n/a
wgs84e	Longitude of the position of the affected apiary in WGS 84 format.	Decimal number	dwc:decimalLongitude [0.0.LNGTD332]	°
wgs84n	Latitude of the position of the affected apiary in WGS 84 format.	Decimal number	dwc:decimalLatitude [0.0.LTTDE333]	°
bedatestart	Date of the administrative ruling (Bescheid) by which the apiary affected by a notifiable disease is put into quarantine.	Date	pms:startDate [0.0.STRTD805]	n/a
begzstart	Reference number of the administrative ruling (Bescheid) by which the apiary affected by a notifiable disease is put into quarantine.	String	Text [0.0.TEXTA315]	n/a
bedateend	Date of the administrative ruling (Bescheid) by which the apiary affected by a notifiable disease is released from quarantine.	Date	pms:endDate [0.0.NDDTE806]	n/a
begzend	Reference number of the administrative ruling (Bescheid) by which the apiary affected by a notifiable disease is released from quarantine.	String	Text [0.0.TEXTA315]	n/a
vodatestart	Date of the regulation (Verordnung) establishing a quarantine zone around an apiary affected by a notifiable disease.	Date	pms:startDate [0.0.STRTD805]	n/a
vogzstart	Reference number of the regulation (Verordnung) establishing a quarantine zone around an apiary affected by a notifiable disease.	String	Text [0.0.TEXTA315]	n/a
vodateend	Date of the regulation (Verordnung) revoking a quarantine zone around an apiary affected by a notifiable disease.	Date	pms:endDate [0.0.NDDTE806]	n/a
vogzend	Reference number of the regulation (Verordnung) revoking a quarantine zone around an apiary affected by a notifiable disease.	String	Text [0.0.TEXTA315]	n/a
annotation	Detailed annotation to the record.	String	Text [0.0.TEXTA315]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
id	1 - 3	234.5	1	117.25	234.5	351.75	469	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	468 ( 100.0% )
disease	32 - 32	n/a	American fou…	n/a	n/a	n/a	American fou…	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )
municipalitycode	5 - 5	61,541.0	60,101	61,141.25	61,443.5	62,131	62,390	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	137 ( 29.3% )
wgs84e	5 - 5	15.138	13.83	14.51	15.41	15.67	16.04	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	168 ( 35.9% )
wgs84n	5 - 5	47.260	46.62	47.09	47.32	47.47	47.72	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	90 ( 19.2% )
bedatestart	10 - 10	2,010.0	2000-05-17	2,006	2,011	2,014	2022-07-05	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	317 ( 67.7% )
begzstart	8 - 50	n/a	8-122-02	n/a	n/a	n/a	8.2-30/2014,…	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	331 ( 70.7% )
bedateend	0 - 10	2,010.0	2000-10-02	2,006	2,011	2,014	2022-07-22	468	21 ( 4.5% )	0 ( 0.0% )	0 ( 0.0% )	255 ( 54.5% )
begzend	0 - 36	n/a		n/a	n/a	n/a	18.2B6/Bi1/1…	468	21 ( 4.5% )	0 ( 0.0% )	0 ( 0.0% )	315 ( 67.3% )
vodatestart	0 - 10	2,012.0	2001-07-18	2,008	2,012	2,015	2022-07-12	468	213 ( 45.5% )	0 ( 0.0% )	0 ( 0.0% )	182 ( 38.9% )
vogzstart	0 - 50	n/a		n/a	n/a	n/a	8.2-30/2014,…	468	213 ( 45.5% )	0 ( 0.0% )	0 ( 0.0% )	224 ( 47.9% )
vodateend	0 - 10	2,012.0	2002-05-28	2,008	2,012	2,016	2022-07-22	468	230 ( 49.1% )	0 ( 0.0% )	0 ( 0.0% )	141 ( 30.1% )
vogzend	0 - 37	n/a		n/a	n/a	n/a	8.2-21/0213,…	468	228 ( 48.7% )	0 ( 0.0% )	0 ( 0.0% )	150 ( 32.1% )
annotation	0 - 0	n/a		n/a	n/a	n/a		468	468 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )

Quality measures

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

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
id	100.00%	100.00%	1	1
disease	100.00%	0.21%	American foulbrood of honey bees	American foulbrood of honey bees
municipalitycode	100.00%	29.27%	61757	61053
wgs84e	100.00%	35.90%	15.49	15.90
wgs84n	100.00%	19.23%	47.41	46.95
bedatestart	100.00%	67.74%	2001-05-17	2012-04-12
begzstart	100.00%	70.73%	not available	18.9.R1/2011-12
bedateend	95.51%	54.49%	null	2012-05-25
begzend	95.51%	67.31%	not available	18.9.R1/2011-17
vodatestart	54.49%	38.89%	null	2012-03-26
vogzstart	54.49%	47.86%	null	18.9.R1/2011-12
vodateend	50.85%	30.13%	null	2012-05-25
vogzend	51.28%	32.05%	null	18.2-6/2012
annotation	0.00%	0.21%	null	null

Changes made to preparatory file

None

Changes made to data

None

Unresolved issues

None

Vetcase

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

Parameter	Content
Unique identifier	VTCSS14.VTCSE33.0
Name	Vetcase
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/VTCSS14.VTCSE33.0
Table Type	File
Licence	CC BY 4.0
Description	Data in this table was was merged from tables vetcaseat and vetcasebe.

Data in this table was was merged from tables vetcaseat and vetcasebe.

Metadata

n/a

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

Column Name	Column Description	Datatype	Descriptor	Unit
id	Identifier of the record.	String	pms:recordID [0.0.RCRDD344]	n/a
year	Reporting period (calendar year).	Integer number	dwc:year [0.0.YEARA340]	year
month	Reporting period (calendar month).	Integer number	iso-8601:calendarMonth [0.0.CLNDR376]	n/a
casenumber	Case number adopted by BMSGPK.	String	casenumber [VTCSS14.0.CSNMB379]	n/a
disease	Name of the disease	String	pms:disease [0.0.HNYBD375]	n/a
animalspecies	The GBIF Taxon ID of the animal species concerned by the notified outbreak. It is the number following the URL https://www.gbif.org/species/, which points to a taxonomic rank.	Integer number	pms:gbifTaxonID [0.0.GBFTX336]	n/a
datestart	Date of establishment of a quarantine area. Official start of outbreak.	Date	pms:startDate [0.0.STRTD805]	n/a
dateend	Date of lifting of a quarantine area. Official end of outbreak.	Date	pms:endDate [0.0.NDDTE806]	n/a
country	ISO 3166-1 alpha-3 code of the country in which the notified outbreak occurred.	String	iso-3166:alpha-3CountryCode [0.0.LPHCN5]	n/a
nuts	Nuts code of the geographic entity in which the notified outbreak occurred.	String	eurostat:nuts2021Code [0.0.NTSCD55]	n/a
districtcode	Official code of the municipality (Gemeindekennziffer) in which the notified outbreak occurred.	Integer number	eurostat:MunicipalityCode [0.0.MNCPL132]	n/a
postcode	Postcode of the location in which the notified outbreak occurred.	String	eurostat:postcode [0.0.PSTCD378]	n/a
unit	Unit in which the value is reported.	String	Text [0.0.TEXTA315]	n/a
value	Number of notified outbreaks (on an apiary basis) per district (Politischer Bezirk) or postcode or NUTS region (if district or postcode is NULL) and month or year (if month is NULL).	Integer number	Integer [0.0.NTGER313]	no.
annotation	Detailed annotation to the value.	String	Text [0.0.TEXTA315]	n/a
sourceid	Reference to the data source.	Integer number	Source ID [VTCSS14.0.SRCDA377]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
id	1 - 3	299.0	1	149.5	299	448.5	597	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	597 ( 100.0% )
year	4 - 4	2,017.4	2,006	2,016	2,017	2,019	2,022	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	17 ( 2.8% )
month	1 - 2	6.4	1	5	6	8	12	597	12 ( 2.0% )	0 ( 0.0% )	0 ( 0.0% )	13 ( 2.2% )
casenumber	0 - 15	n/a		n/a	n/a	n/a	TKH-2020-000…	597	137 ( 22.9% )	0 ( 0.0% )	0 ( 0.0% )	461 ( 77.2% )
disease	32 - 108	n/a	American fou…	n/a	n/a	n/a	Varroosis of…	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.5% )
animalspecies	7 - 7	1,341,976.0	1,341,976	1,341,976	1,341,976	1,341,976	1,341,976	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )
datestart	0 - 10	2,017.0	2014-06-05	2,016	2,017	2,019	2022-08-30	597	65 ( 10.9% )	0 ( 0.0% )	0 ( 0.0% )	345 ( 57.8% )
dateend	0 - 10	2,018.0	2014-08-06	2,016	2,017	2,019	2022-11-26	597	172 ( 28.8% )	0 ( 0.0% )	0 ( 0.0% )	217 ( 36.3% )
country	3 - 3	n/a	AUT	n/a	n/a	n/a	BEL	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.3% )
nuts	2 - 5	n/a	BE	n/a	n/a	n/a	BE353	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	28 ( 4.7% )
districtcode	3 - 3	489.6	106	323	504	620	900	597	137 ( 22.9% )	0 ( 0.0% )	0 ( 0.0% )	68 ( 11.4% )
postcode	4 - 4	6,327.6	1,549	6,180	6,740	7,332	9,255	597	525 ( 87.9% )	0 ( 0.0% )	0 ( 0.0% )	34 ( 5.7% )
unit	6 - 6	n/a	number	n/a	n/a	n/a	number	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )
value	1 - 2	1.2	0	1	1	1	36	597	0 ( 0.0% )	3 ( 0.5% )	0 ( 0.0% )	11 ( 1.8% )
annotation	0 - 0	n/a		n/a	n/a	n/a		597	597 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )
sourceid	1 - 2	51.2	1	36.5	59	61	80	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	54 ( 9.0% )

Quality measures

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

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
id	100.00%	100.00%	1	1
year	100.00%	2.85%	2016	2006
month	97.99%	2.18%	7	12
casenumber	77.05%	77.22%	null	TKH-2014-000443
disease	100.00%	0.50%	American foulbrood of honey bees	Varroosis of honey bees in the case of imminent or actual death of at least 30% of the colonies in an apiary
animalspecies	100.00%	0.17%	1341976	1341976
datestart	89.11%	57.79%	null	2015-01-07
dateend	71.19%	36.35%	null	2015-05-04
country	100.00%	0.34%	AUT	BEL
nuts	100.00%	4.69%	AT12	BE221
districtcode	77.05%	11.39%	504	307
postcode	12.06%	5.70%	6280	7973
unit	100.00%	0.17%	number	number
value	100.00%	1.84%	1	11
annotation	0.00%	0.17%	null	null
sourceid	100.00%	9.05%	61	4

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

References

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

Parameter	Content
Unique identifier	VTCSS14.RFRNC70.0
Name	References
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/VTCSS14.RFRNC70.0
Table Type	File
Licence	CC BY 4.0
Description	The table contains references to sources (books, scientific journals, technical journals, websites) from which data in this dataset was obtained.

The table contains references to sources (books, scientific journals, technical journals, websites) from which data in this dataset was obtained.

Metadata

n/a

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

Column Name	Column Description	Datatype	Descriptor	Unit
îd	Reference to the data source.	Integer number	Source ID [VTCSS14.0.SRCDA377]	n/a
format		String	Text [0.0.TEXTA315]	n/a
reference		String	Text [0.0.TEXTA315]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
îd	1 - 2	40.5	1	20.25	40.5	60.75	80	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	80 ( 100.0% )
format	6 - 6	n/a	BibTeX	n/a	n/a	n/a	BibTeX	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.3% )
reference	404 - 506	n/a	@misc{agence…	n/a	n/a	n/a	@techreport{…	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	80 ( 100.0% )

Quality measures

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

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
îd	100.00%	100.00%	1	1
format	100.00%	1.25%	BibTeX	BibTeX
reference	100.00%	100.00%	@techreport{bundesministerium_fur_soziales_gesundheit_pflege_und_konsumentenschutz_tiergesundheitsbericht_2016, address = {Wien, AT}, title = {Tiergesundheitsbericht {Berichtszeitraum} {September} 2016}, url = {https://www.verbrauchergesundheit.gv.at/tiere/krankheiten/tgb_adns/TGB_AT_September_2016.pdf?92t3gv}, language = {de}, urldate = {2023-02-08}, author = {{Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz}}, month = oct, year = {2016}, }	@techreport{bundesministerium_fur_soziales_gesundheit_pflege_und_konsumentenschutz_tiergesundheitsbericht_2016, address = {Wien, AT}, title = {Tiergesundheitsbericht {Berichtszeitraum} {September} 2016}, url = {https://www.verbrauchergesundheit.gv.at/tiere/krankheiten/tgb_adns/TGB_AT_September_2016.pdf?92t3gv}, language = {de}, urldate = {2023-02-08}, author = {{Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz}}, month = oct, year = {2016}, }

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

References

There are no sources in the current document.

Annex 1: Table column reports

Table: Kvg

Column: id

Table 30. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	id
Description	Identifier of the record.
Data type	String
Descriptor	pms:recordID [UID:0.0.RCRDD344]
Descriptor description	Unique sequence of integers associated with a record within a certain table.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.RCRDD344
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
id	1 - 5	12,157.5	1	5,998.75	12,141.5	18,284.25	24,378	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	23,994 ( 100.0% )

Table 32. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
id	100.00%	100.00%	1	1

Continuous Data Distribution

Figure 1. Distribution of values in the column.

Outliers

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

Completeness

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

Uniqueness

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

Column: year

Table 33. Structural analysis of the table. Column name (Name); concise description of the column (Description); 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	Reporting period (calendar year).
Data type	Integer number
Descriptor	dwc:year [UID:0.0.YEARA340]
Descriptor description	A term from the Darwin Core standard: The four-digit year in which the dwc:Event occurred, according to the Common Era Calendar.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/year
Unit	year

Table 34. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-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	2,016.8	2,015	2,016	2,016	2,018	2,020	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.0% )

Table 35. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in 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%	0.03%	2016	2020

Data Distribution Top 20

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

Continuous Data Distribution

Figure 6. Distribution of values in the column.

Outliers

Figure 7. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: month

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).

Parameter	Content
Column name	month
Description	Reporting period (calendar month).
Data type	Integer number
Descriptor	iso-8601:calendarMonth [UID:0.0.CLNDR376]
Descriptor description	time scale unit [...] resulting from a defined division of a calendar year [...], each containing a specific number of calendar days [...] Note 1 to entry: A calendar month is in common parlance often referred to as month, however in this document calendar month and month have different definitions.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.CLNDR376
Unit	n/a

Table 37. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-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	1 - 2	6.5	1	4	7	9	12	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 0.1% )

Table 38. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in 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%	0.05%	9	12

Data Distribution Top 20

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

Continuous Data Distribution

Figure 11. Distribution of values in the column.

Outliers

Figure 12. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 13. Visualization of completeness of the data in the column.

Uniqueness

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

Column: casenumber

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).

Parameter	Content
Column name	casenumber
Description	Case number adopted by BMSGPK.
Data type	String
Descriptor	casenumber [UID:VTCSS14.0.CSNMB379]
Descriptor description	Case number adopted by the Austrian Federal Ministry of Social Affairs, Health, Care and Consumer Protection (Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz, BMSGPK).
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/VTCSS14.0.CSNMB379
Unit	n/a

Table 40. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
casenumber	15 - 15	n/a	TKH-2012-000…	n/a	n/a	n/a	TKH-2020-000…	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	525 ( 2.2% )

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

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
casenumber	100.00%	2.19%	TKH-2014-000454	TKH-2016-000451

Completeness

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

Uniqueness

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

Column: disease

Table 42. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	disease
Description	Name of the disease.
Data type	String
Descriptor	pms:disease [UID:0.0.HNYBD375]
Descriptor description	‘disease’ means the occurrence of infections and infestations in animals, with or without clinical or pathological manifestations, caused by one or more disease agents;
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HNYBD375
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
disease	32 - 32	n/a	American fou…	n/a	n/a	n/a	American fou…	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 44. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
disease	100.00%	0.00%	American foulbrood of honey bees	American foulbrood of honey bees

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: item

Table 45. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
item	13 - 42	n/a	Dead colonie…	n/a	n/a	n/a	Susceptible…	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	6 ( 0.0% )

Table 47. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
item	100.00%	0.03%	Susceptible livestock at start of outbreak	Susceptible livestock at start of outbreak

Data Distribution Top 20

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

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: datestart

Table 48. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	datestart
Description	Date of establishment of a quarantine area. Official start of outbreak.
Data type	Date
Descriptor	pms:startDate [UID:0.0.STRTD805]
Descriptor description	Calendar date in which a dwc:Event starts.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.STRTD805
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
datestart	10 - 10	2,016.0	2012-03-20	2,015	2,016	2,017	2020-03-30	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	344 ( 1.4% )

Table 50. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
datestart	100.00%	1.43%	2016-05-25	2016-04-29

Outliers

Figure 23. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

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

Uniqueness

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

Column: dateend

Table 51. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	dateend
Description	Date of lifting of a quarantine area. Official end of outbreak.
Data type	Date
Descriptor	pms:endDate [UID:0.0.NDDTE806]
Descriptor description	Calendar date in which a dwc:Event ends.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NDDTE806
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
dateend	0 - 10	2,017.0	2015-01-15	2,016	2,016	2,018	2019-11-25	23,994	20,760 ( 86.5% )	0 ( 0.0% )	0 ( 0.0% )	221 ( 0.9% )

Table 53. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
dateend	13.48%	0.92%	null	2018-05-07

Outliers

Figure 26. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

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

Uniqueness

Figure 28. Visualization of uniqueness of the data in the column.

Column: districtcode

Table 54. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	districtcode
Description	Official code of the district (Politischer Bezirk) in which the notified outbreak occurred.
Data type	Integer number
Descriptor	eurostat:PoliticalDistrictID [UID:0.0.PLTCL128]
Descriptor description	A district (German: Bezirk) is a second-level division of the executive arm of the Austrian government. District offices are the primary point of contact between residents and the state for most acts of government that exceed municipal purview: marriage licenses, driver licenses, passports, assembly permits, hunting permits, or dealings with public health officers for example all involve interaction with the district administrative authority (Bezirksverwaltungsbehörde).
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.PLTCL128
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
districtcode	3 - 3	489.9	106	323	504	616	900	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	70 ( 0.3% )

Table 56. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
districtcode	100.00%	0.29%	614	106

Data Distribution Top 20

Figure 29. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 30. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 31. Visualization of median, min, max, and outliers in the column.

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: unit

Table 57. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
unit	6 - 6	n/a	number	n/a	n/a	n/a	number	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.0% )

Table 59. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
unit	100.00%	0.00%	number	number

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: value

Table 60. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
value	1 - 3	2.5	0	0	0	2	113	23,994	0 ( 0.0% )	14,998 ( 62.5% )	0 ( 0.0% )	46 ( 0.2% )

Table 62. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
value	100.00%	0.19%	0	48

Data Distribution Top 20

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

Data Distribution Bottom 20

Figure 38. Distribution of 20 least common values, from lowest to highest.

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: annotation

Table 63. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
annotation	0 - 130	n/a		n/a	n/a	n/a	Corrected fr…	23,994	23,991 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 0.0% )

Table 65. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
annotation	0.01%	0.02%	null	Corrected from 10000 to 1. Michael Rubinigg 05.07.2021. Reason: value obviously wrong, replaced by the most plausible real value.

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: sourceId

Table 66. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	sourceId
Description	Reference to the data source.
Data type	Integer number
Descriptor	Source ID [UID:VTCSS14.0.SRCDA377]
Descriptor description	Links to the source from which the reported value in a record was obtained.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/VTCSS14.0.SRCDA377
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sourceId	1 - 2	31.9	1	15	32	50	61	23,994	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	61 ( 0.3% )

Table 68. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
sourceId	100.00%	0.25%	59	43

Data Distribution Top 20

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

Data Distribution Bottom 20

Figure 45. Distribution of 20 least common values, from lowest to highest.

Outliers

Figure 46. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Table: Vetcaseat

Column: id

Table 69. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	id
Description	Identifier of the record.
Data type	String
Descriptor	pms:recordID [UID:0.0.RCRDD344]
Descriptor description	Unique sequence of integers associated with a record within a certain table.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.RCRDD344
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
id	1 - 3	257.0	1	128.5	257	385.5	513	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	513 ( 100.0% )

Table 71. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
id	100.00%	100.00%	1	1

Continuous Data Distribution

Figure 49. Distribution of values in the column.

Outliers

Figure 50. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: year

Table 72. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	year
Description	Reporting period (calendar year).
Data type	Integer number
Descriptor	dwc:year [UID:0.0.YEARA340]
Descriptor description	A term from the Darwin Core standard: The four-digit year in which the dwc:Event occurred, according to the Common Era Calendar.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/year
Unit	year

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
year	4 - 4	2,017.3	2,015	2,016	2,017	2,019	2,022	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	8 ( 1.6% )

Table 74. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
year	100.00%	1.56%	2016	2020

Data Distribution Top 20

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

Continuous Data Distribution

Figure 54. Distribution of values in the column.

Outliers

Figure 55. Visualization of median, min, max, and outliers in the column.

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: month

Table 75. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	month
Description	Reporting period (calendar month).
Data type	Integer number
Descriptor	iso-8601:calendarMonth [UID:0.0.CLNDR376]
Descriptor description	time scale unit [...] resulting from a defined division of a calendar year [...], each containing a specific number of calendar days [...] Note 1 to entry: A calendar month is in common parlance often referred to as month, however in this document calendar month and month have different definitions.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.CLNDR376
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
month	1 - 2	6.3	1	5	6	8	12	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	12 ( 2.3% )

Table 77. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
month	100.00%	2.34%	5	12

Data Distribution Top 20

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

Continuous Data Distribution

Figure 59. Distribution of values in the column.

Outliers

Figure 60. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: casenumber

Table 78. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	casenumber
Description	Case number adopted by BMSGPK.
Data type	String
Descriptor	casenumber [UID:VTCSS14.0.CSNMB379]
Descriptor description	Case number adopted by the Austrian Federal Ministry of Social Affairs, Health, Care and Consumer Protection (Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz, BMSGPK).
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/VTCSS14.0.CSNMB379
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
casenumber	0 - 15	n/a		n/a	n/a	n/a	TKH-2020-000…	513	53 ( 10.3% )	0 ( 0.0% )	0 ( 0.0% )	461 ( 89.9% )

Table 80. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
casenumber	89.67%	89.86%	null	TKH-2014-000443

Completeness

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

Uniqueness

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

Column: disease

Table 81. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	disease
Description	Name of the disease.
Data type	String
Descriptor	pms:disease [UID:0.0.HNYBD375]
Descriptor description	‘disease’ means the occurrence of infections and infestations in animals, with or without clinical or pathological manifestations, caused by one or more disease agents;
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HNYBD375
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
disease	32 - 94	n/a	American fou…	n/a	n/a	n/a	Varroosis in…	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.4% )

Table 83. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
disease	100.00%	0.39%	American foulbrood of honey bees	Varroosis in the case of imminent or actual death of at least 30% of the colonies in an apiary

Data Distribution Top 20

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

Completeness

Figure 66. Visualization of completeness of the data in the column.

Uniqueness

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

Column: animalspecies

Table 84. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	animalspecies
Description	The GBIF Taxon ID of the animal species concerned by the notified outbreak. It is the number following the URL https://www.gbif.org/species/, which points to a taxonomic rank.
Data type	Integer number
Descriptor	pms:gbifTaxonID [UID:0.0.GBFTX336]
Descriptor description	The taxonID used by the the Global Biodiversity Information Facility (GBIF), an international network and data infrastructure aimed at providing open access to data about all types of life on Earth.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.GBFTX336
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
animalspecies	7 - 7	1,341,976.0	1,341,976	1,341,976	1,341,976	1,341,976	1,341,976	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )

Table 86. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
animalspecies	100.00%	0.19%	1341976	1341976

Data Distribution Top 20

Figure 68. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 69. Distribution of values in the column.

Outliers

Figure 70. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: datestart

Table 87. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	datestart
Description	Date of establishment of a quarantine area. Official start of outbreak.
Data type	Date
Descriptor	pms:startDate [UID:0.0.STRTD805]
Descriptor description	Calendar date in which a dwc:Event starts.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.STRTD805
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
datestart	0 - 10	2,017.0	2015-01-07	2,016	2,016	2,018	2020-03-30	513	53 ( 10.3% )	0 ( 0.0% )	0 ( 0.0% )	298 ( 58.1% )

Table 89. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
datestart	89.67%	58.09%	null	2015-01-07

Outliers

Figure 73. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

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

Uniqueness

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

Column: dateend

Table 90. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	dateend
Description	Date of lifting of a quarantine area. Official end of outbreak.
Data type	Date
Descriptor	pms:endDate [UID:0.0.NDDTE806]
Descriptor description	Calendar date in which a dwc:Event ends.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NDDTE806
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
dateend	0 - 10	2,017.0	2015-04-08	2,016	2,017	2,018	2019-11-25	513	157 ( 30.6% )	0 ( 0.0% )	0 ( 0.0% )	193 ( 37.6% )

Table 92. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
dateend	69.40%	37.62%	null	2015-05-04

Outliers

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

No data available.

Completeness

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

Uniqueness

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

Column: country

Table 93. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	country
Description	ISO 3166-1 alpha-3 code of the country in which the notified outbreak occurred.
Data type	String
Descriptor	iso-3166:alpha-3CountryCode [UID:0.0.LPHCN5]
Descriptor description	A three-letter code that represents a country name, which is usually more closely related to the country name.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.LPHCN5
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
country	3 - 3	n/a	AUT	n/a	n/a	n/a	AUT	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )

Table 95. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
country	100.00%	0.19%	AUT	AUT

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: nuts

Table 96. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	nuts
Description	Nuts code of the geographic entity in which the notified outbreak occurred.
Data type	String
Descriptor	eurostat:nuts2021Code [UID:0.0.NTSCD55]
Descriptor description	A NUTS code defined in the NUTS classification 2021, valid from 2021-01-01 to 2023-12-31, containing 92 regions at NUTS level 1, 244 regions at NUTS level 2 and 1165 regions at NUTS level 3 level.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTSCD55
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
nuts	4 - 4	n/a	AT11	n/a	n/a	n/a	AT34	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	9 ( 1.8% )

Table 98. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
nuts	100.00%	1.75%	AT12	AT13

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: districtcode

Table 99. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	districtcode
Description	Official code of the district (Politischer Bezirk) in which the notified outbreak occurred.
Data type	Integer number
Descriptor	eurostat:PoliticalDistrictID [UID:0.0.PLTCL128]
Descriptor description	A district (German: Bezirk) is a second-level division of the executive arm of the Austrian government. District offices are the primary point of contact between residents and the state for most acts of government that exceed municipal purview: marriage licenses, driver licenses, passports, assembly permits, hunting permits, or dealings with public health officers for example all involve interaction with the district administrative authority (Bezirksverwaltungsbehörde).
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.PLTCL128
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
districtcode	3 - 3	489.6	106	323	504	620	900	513	53 ( 10.3% )	0 ( 0.0% )	0 ( 0.0% )	68 ( 13.3% )

Table 101. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
districtcode	89.67%	13.26%	504	307

Continuous Data Distribution

Figure 85. Distribution of values in the column.

Outliers

Figure 86. Visualization of median, min, max, and outliers in the column.

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: unit

Table 102. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
unit	6 - 6	n/a	number	n/a	n/a	n/a	number	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )

Table 104. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
unit	100.00%	0.19%	number	number

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: value

Table 105. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	value
Description	Number of notified outbreaks (on an apiary basis) per district (Politischer Bezirk) or NUTS2 region (if district is NULL) and month.
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	no.

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
value	1 - 2	1.1	1	1	1	1	11	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	8 ( 1.6% )

Table 107. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
value	100.00%	1.56%	1	5

Data Distribution Top 20

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

Continuous Data Distribution

Figure 93. Distribution of values in the column.

Outliers

Figure 94. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: annotation

Table 108. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
annotation	0 - 0	n/a		n/a	n/a	n/a		513	513 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )

Table 110. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
annotation	0.00%	0.19%	null	null

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: sourceid

Table 111. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	sourceid
Description	Reference to the data source.
Data type	Integer number
Descriptor	Source ID [UID:VTCSS14.0.SRCDA377]
Descriptor description	Links to the source from which the reported value in a record was obtained.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/VTCSS14.0.SRCDA377
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sourceid	1 - 2	46.8	1	33	56	61	80	513	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	52 ( 10.1% )

Table 113. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
sourceid	100.00%	10.14%	61	4

Continuous Data Distribution

Figure 100. Distribution of values in the column.

Outliers

Figure 101. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Table: Vetcasebe

Column: id

Table 114. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	id
Description	Identifier of the record.
Data type	String
Descriptor	pms:recordID [UID:0.0.RCRDD344]
Descriptor description	Unique sequence of integers associated with a record within a certain table.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.RCRDD344
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
id	3 - 3	555.5	514	534.25	555.5	576.75	597	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	84 ( 100.0% )

Table 116. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
id	100.00%	100.00%	514	514

Continuous Data Distribution

Figure 104. Distribution of values in the column.

Outliers

Figure 105. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 107. Visualization of uniqueness of the data in the column.

Column: year

Table 117. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	year
Description	Reporting period (calendar year).
Data type	Integer number
Descriptor	dwc:year [UID:0.0.YEARA340]
Descriptor description	A term from the Darwin Core standard: The four-digit year in which the dwc:Event occurred, according to the Common Era Calendar.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/year
Unit	year

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
year	4 - 4	2,018.1	2,006	2,018	2,019	2,020	2,022	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	17 ( 20.2% )

Table 119. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
year	100.00%	20.24%	2020	2006

Continuous Data Distribution

Figure 108. Distribution of values in the column.

Outliers

Figure 109. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: month

Table 120. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	month
Description	Reporting period (calendar month).
Data type	Integer number
Descriptor	iso-8601:calendarMonth [UID:0.0.CLNDR376]
Descriptor description	time scale unit [...] resulting from a defined division of a calendar year [...], each containing a specific number of calendar days [...] Note 1 to entry: A calendar month is in common parlance often referred to as month, however in this document calendar month and month have different definitions.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.CLNDR376
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
month	1 - 2	6.8	4	6	7	8	11	84	12 ( 14.3% )	0 ( 0.0% )	0 ( 0.0% )	8 ( 9.5% )

Table 122. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
month	85.71%	9.52%	7	11

Data Distribution Top 20

Figure 112. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 113. Distribution of values in the column.

Outliers

Figure 114. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: disease

Table 123. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	disease
Description	Name of the disease.
Data type	String
Descriptor	pms:disease [UID:0.0.HNYBD375]
Descriptor description	‘disease’ means the occurrence of infections and infestations in animals, with or without clinical or pathological manifestations, caused by one or more disease agents;
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HNYBD375
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
disease	32 - 32	n/a	American fou…	n/a	n/a	n/a	European fou…	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.4% )

Table 125. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
disease	100.00%	2.38%	American foulbrood of honey bees	European foulbrood of honey bees

Data Distribution Top 20

Figure 117. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: animalspecies

Table 126. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	animalspecies
Description	The GBIF Taxon ID of the animal species concerned by the notified outbreak. It is the number following the URL https://www.gbif.org/species/, which points to a taxonomic rank.
Data type	Integer number
Descriptor	pms:gbifTaxonID [UID:0.0.GBFTX336]
Descriptor description	The taxonID used by the the Global Biodiversity Information Facility (GBIF), an international network and data infrastructure aimed at providing open access to data about all types of life on Earth.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.GBFTX336
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
animalspecies	7 - 7	1,341,976.0	1,341,976	1,341,976	1,341,976	1,341,976	1,341,976	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.2% )

Table 128. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
animalspecies	100.00%	1.19%	1341976	1341976

Data Distribution Top 20

Figure 120. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 121. Distribution of values in the column.

Outliers

Figure 122. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: datestart

Table 129. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	datestart
Description	Date of establishment of a quarantine area. Official start of outbreak.
Data type	Date
Descriptor	pms:startDate [UID:0.0.STRTD805]
Descriptor description	Calendar date in which a dwc:Event starts.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.STRTD805
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
datestart	0 - 10	2,019.0	2014-06-05	2,018	2,019	2,020	2022-08-30	84	12 ( 14.3% )	0 ( 0.0% )	0 ( 0.0% )	59 ( 70.2% )

Table 131. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
datestart	85.71%	70.24%	null	2014-06-05

Outliers

Figure 125. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

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

Uniqueness

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

Column: dateend

Table 132. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	dateend
Description	Date of lifting of a quarantine area. Official end of outbreak.
Data type	Date
Descriptor	pms:endDate [UID:0.0.NDDTE806]
Descriptor description	Calendar date in which a dwc:Event ends.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NDDTE806
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
dateend	0 - 10	2,020.0	2014-08-06	2,019	2,020	2,021	2022-11-26	84	15 ( 17.9% )	0 ( 0.0% )	0 ( 0.0% )	27 ( 32.1% )

Table 134. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
dateend	82.14%	32.14%	null	2014-08-06

Outliers

Figure 128. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

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

Uniqueness

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

Column: country

Table 135. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	country
Description	ISO 3166-1 alpha-3 code of the country in which the notified outbreak occurred.
Data type	String
Descriptor	iso-3166:alpha-3CountryCode [UID:0.0.LPHCN5]
Descriptor description	A three-letter code that represents a country name, which is usually more closely related to the country name.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.LPHCN5
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
country	3 - 3	n/a	BEL	n/a	n/a	n/a	BEL	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.2% )

Table 137. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
country	100.00%	1.19%	BEL	BEL

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: nuts

Table 138. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	nuts
Description	Nuts code of the geographic entity in which the notified outbreak occurred.
Data type	String
Descriptor	eurostat:nuts2021Code [UID:0.0.NTSCD55]
Descriptor description	A NUTS code defined in the NUTS classification 2021, valid from 2021-01-01 to 2023-12-31, containing 92 regions at NUTS level 1, 244 regions at NUTS level 2 and 1165 regions at NUTS level 3 level.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTSCD55
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
nuts	2 - 5	n/a	BE	n/a	n/a	n/a	BE353	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	19 ( 22.6% )

Table 140. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
nuts	100.00%	22.62%	BE323	BE221

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: postcode

Table 141. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	postcode
Description	Postcode of the location in which the notified outbreak occurred.
Data type	String
Descriptor	eurostat:postcode [UID:0.0.PSTCD378]
Descriptor description	A postal code (also known locally in various English-speaking countries throughout the world as a postcode, post code, PIN or ZIP Code) is a series of letters or digits or both, sometimes including spaces or punctuation, included in a postal address for the purpose of sorting mail.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.PSTCD378
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
postcode	4 - 4	6,327.6	1,549	6,180	6,740	7,332	9,255	84	12 ( 14.3% )	0 ( 0.0% )	0 ( 0.0% )	34 ( 40.5% )

Table 143. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
postcode	85.71%	40.48%	6280	7973

Continuous Data Distribution

Figure 136. Distribution of values in the column.

Outliers

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

Completeness

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

Uniqueness

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

Column: unit

Table 144. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
unit	6 - 6	n/a	number	n/a	n/a	n/a	number	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.2% )

Table 146. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
unit	100.00%	1.19%	number	number

Data Distribution Top 20

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

Completeness

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

Uniqueness

Figure 142. Visualization of uniqueness of the data in the column.

Column: value

Table 147. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	value
Description	Number of notified outbreaks (on an apiary basis) per postcode or NUTS region (if postcode is NULL) and month or year (if month is NULL).
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	no.

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
value	1 - 2	1.8	0	1	1	1	36	84	0 ( 0.0% )	3 ( 3.6% )	0 ( 0.0% )	9 ( 10.7% )

Table 149. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
value	100.00%	10.71%	1	5

Data Distribution Top 20

Figure 143. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 144. Distribution of values in the column.

Outliers

Figure 145. Visualization of median, min, max, and outliers in the column.

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: annotation

Table 150. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
annotation	0 - 0	n/a		n/a	n/a	n/a		84	84 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.2% )

Table 152. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
annotation	0.00%	1.19%	null	null

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: sourceid

Table 153. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	sourceid
Description	Reference to the data source.
Data type	Integer number
Descriptor	Source ID [UID:VTCSS14.0.SRCDA377]
Descriptor description	Links to the source from which the reported value in a record was obtained.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/VTCSS14.0.SRCDA377
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sourceid	2 - 2	78.1	78	78	78	78	79	84	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 2.4% )

Table 155. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
sourceid	100.00%	2.38%	78	79

Data Distribution Top 20

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

Continuous Data Distribution

Figure 152. Distribution of values in the column.

Outliers

Figure 153. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Table: Vetcasesat22

Column: id

Table 156. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	id
Description	Identifier of the record.
Data type	String
Descriptor	pms:recordID [UID:0.0.RCRDD344]
Descriptor description	Unique sequence of integers associated with a record within a certain table.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.RCRDD344
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
id	1 - 3	234.5	1	117.25	234.5	351.75	469	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	468 ( 100.0% )

Table 158. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
id	100.00%	100.00%	1	1

Continuous Data Distribution

Figure 156. Distribution of values in the column.

Outliers

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

Completeness

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

Uniqueness

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

Column: disease

Table 159. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	disease
Description	Name of the disease.
Data type	String
Descriptor	pms:disease [UID:0.0.HNYBD375]
Descriptor description	‘disease’ means the occurrence of infections and infestations in animals, with or without clinical or pathological manifestations, caused by one or more disease agents;
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HNYBD375
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
disease	32 - 32	n/a	American fou…	n/a	n/a	n/a	American fou…	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )

Table 161. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
disease	100.00%	0.21%	American foulbrood of honey bees	American foulbrood of honey bees

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: municipalitycode

Table 162. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	municipalitycode
Description	Official code of the municipality (Gemeindekennziffer) in which the notified outbreak occurred.
Data type	Integer number
Descriptor	eurostat:MunicipalityCode [UID:0.0.MNCPL132]
Descriptor description	A term from the Darwin Core standard: The full, unabbreviated name of the next smaller administrative region than county (city, municipality, etc.) in which the dcterms:Location occurs. Do not use this term for a nearby named place that does not contain the actual dcterms:Location.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.MNCPL132
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
municipalitycode	5 - 5	61,541.0	60,101	61,141.25	61,443.5	62,131	62,390	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	137 ( 29.3% )

Table 164. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
municipalitycode	100.00%	29.27%	61757	61053

Continuous Data Distribution

Figure 163. Distribution of values in the column.

Outliers

Figure 164. Visualization of median, min, max, and outliers 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: wgs84e

Table 165. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	wgs84e
Description	Longitude of the position of the affected apiary in WGS 84 format.
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 166. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
wgs84e	5 - 5	15.138	13.83	14.51	15.41	15.67	16.04	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	168 ( 35.9% )

Table 167. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
wgs84e	100.00%	35.90%	15.49	15.90

Continuous Data Distribution

Figure 167. Distribution of values in the column.

Outliers

Figure 168. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: wgs84n

Table 168. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	wgs84n
Description	Latitude of the position of the affected apiary in WGS 84 format.
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 169. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
wgs84n	5 - 5	47.260	46.62	47.09	47.32	47.47	47.72	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	90 ( 19.2% )

Table 170. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
wgs84n	100.00%	19.23%	47.41	46.95

Continuous Data Distribution

Figure 171. Distribution of values in the column.

Outliers

Figure 172. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: bedatestart

Table 171. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	bedatestart
Description	Date of the administrative ruling (Bescheid) by which the apiary affected by a notifiable disease is put into quarantine.
Data type	Date
Descriptor	pms:startDate [UID:0.0.STRTD805]
Descriptor description	Calendar date in which a dwc:Event starts.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.STRTD805
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
bedatestart	10 - 10	2,010.0	2000-05-17	2,006	2,011	2,014	2022-07-05	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	317 ( 67.7% )

Table 173. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
bedatestart	100.00%	67.74%	2001-05-17	2012-04-12

Outliers

Figure 175. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

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

Uniqueness

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

Column: begzstart

Table 174. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
begzstart	8 - 50	n/a	8-122-02	n/a	n/a	n/a	8.2-30/2014,…	468	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	331 ( 70.7% )

Table 176. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
begzstart	100.00%	70.73%	not available	18.9.R1/2011-12

Completeness

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

Uniqueness

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

Column: bedateend

Table 177. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	bedateend
Description	Date of the administrative ruling (Bescheid) by which the apiary affected by a notifiable disease is released from quarantine.
Data type	Date
Descriptor	pms:endDate [UID:0.0.NDDTE806]
Descriptor description	Calendar date in which a dwc:Event ends.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NDDTE806
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
bedateend	0 - 10	2,010.0	2000-10-02	2,006	2,011	2,014	2022-07-22	468	21 ( 4.5% )	0 ( 0.0% )	0 ( 0.0% )	255 ( 54.5% )

Table 179. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
bedateend	95.51%	54.49%	null	2012-05-25

Outliers

Figure 180. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

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

Uniqueness

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

Column: begzend

Table 180. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	begzend
Description	Reference number of the administrative ruling (Bescheid) by which the apiary affected by a notifiable disease is released from quarantine.
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 181. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
begzend	0 - 36	n/a		n/a	n/a	n/a	18.2B6/Bi1/1…	468	21 ( 4.5% )	0 ( 0.0% )	0 ( 0.0% )	315 ( 67.3% )

Table 182. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
begzend	95.51%	67.31%	not available	18.9.R1/2011-17

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: vodatestart

Table 183. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	vodatestart
Description	Date of the regulation (Verordnung) establishing a quarantine zone around an apiary affected by a notifiable disease.
Data type	Date
Descriptor	pms:startDate [UID:0.0.STRTD805]
Descriptor description	Calendar date in which a dwc:Event starts.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.STRTD805
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
vodatestart	0 - 10	2,012.0	2001-07-18	2,008	2,012	2,015	2022-07-12	468	213 ( 45.5% )	0 ( 0.0% )	0 ( 0.0% )	182 ( 38.9% )

Table 185. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
vodatestart	54.49%	38.89%	null	2012-03-26

Outliers

Figure 185. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

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

Uniqueness

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

Column: vogzstart

Table 186. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
vogzstart	0 - 50	n/a		n/a	n/a	n/a	8.2-30/2014,…	468	213 ( 45.5% )	0 ( 0.0% )	0 ( 0.0% )	224 ( 47.9% )

Table 188. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
vogzstart	54.49%	47.86%	null	18.9.R1/2011-12

Completeness

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

Uniqueness

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

Column: vodateend

Table 189. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	vodateend
Description	Date of the regulation (Verordnung) revoking a quarantine zone around an apiary affected by a notifiable disease.
Data type	Date
Descriptor	pms:endDate [UID:0.0.NDDTE806]
Descriptor description	Calendar date in which a dwc:Event ends.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NDDTE806
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
vodateend	0 - 10	2,012.0	2002-05-28	2,008	2,012	2,016	2022-07-22	468	230 ( 49.1% )	0 ( 0.0% )	0 ( 0.0% )	141 ( 30.1% )

Table 191. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
vodateend	50.85%	30.13%	null	2012-05-25

Outliers

Figure 190. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

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

Uniqueness

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

Column: vogzend

Table 192. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	vogzend
Description	Reference number of the regulation (Verordnung) revoking a quarantine zone around an apiary affected by a notifiable disease.
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 193. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
vogzend	0 - 37	n/a		n/a	n/a	n/a	8.2-21/0213,…	468	228 ( 48.7% )	0 ( 0.0% )	0 ( 0.0% )	150 ( 32.1% )

Table 194. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
vogzend	51.28%	32.05%	null	18.2-6/2012

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: annotation

Table 195. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
annotation	0 - 0	n/a		n/a	n/a	n/a		468	468 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )

Table 197. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
annotation	0.00%	0.21%	null	null

Data Distribution Top 20

Figure 195. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Table: Vetcase

Column: id

Table 198. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	id
Description	Identifier of the record.
Data type	String
Descriptor	pms:recordID [UID:0.0.RCRDD344]
Descriptor description	Unique sequence of integers associated with a record within a certain table.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.RCRDD344
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
id	1 - 3	299.0	1	149.5	299	448.5	597	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	597 ( 100.0% )

Table 200. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
id	100.00%	100.00%	1	1

Continuous Data Distribution

Figure 198. Distribution of values in the column.

Outliers

Figure 199. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: year

Table 201. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	year
Description	Reporting period (calendar year).
Data type	Integer number
Descriptor	dwc:year [UID:0.0.YEARA340]
Descriptor description	A term from the Darwin Core standard: The four-digit year in which the dwc:Event occurred, according to the Common Era Calendar.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/year
Unit	year

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
year	4 - 4	2,017.4	2,006	2,016	2,017	2,019	2,022	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	17 ( 2.8% )

Table 203. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
year	100.00%	2.85%	2016	2006

Data Distribution Top 20

Figure 202. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 203. Distribution of values in the column.

Outliers

Figure 204. Visualization of median, min, max, and outliers in the column.

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: month

Table 204. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	month
Description	Reporting period (calendar month).
Data type	Integer number
Descriptor	iso-8601:calendarMonth [UID:0.0.CLNDR376]
Descriptor description	time scale unit [...] resulting from a defined division of a calendar year [...], each containing a specific number of calendar days [...] Note 1 to entry: A calendar month is in common parlance often referred to as month, however in this document calendar month and month have different definitions.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.CLNDR376
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
month	1 - 2	6.4	1	5	6	8	12	597	12 ( 2.0% )	0 ( 0.0% )	0 ( 0.0% )	13 ( 2.2% )

Table 206. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
month	97.99%	2.18%	7	12

Data Distribution Top 20

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

Continuous Data Distribution

Figure 208. Distribution of values in the column.

Outliers

Figure 209. Visualization of median, min, max, and outliers in the column.

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: casenumber

Table 207. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	casenumber
Description	Case number adopted by BMSGPK.
Data type	String
Descriptor	casenumber [UID:VTCSS14.0.CSNMB379]
Descriptor description	Case number adopted by the Austrian Federal Ministry of Social Affairs, Health, Care and Consumer Protection (Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz, BMSGPK).
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/VTCSS14.0.CSNMB379
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
casenumber	0 - 15	n/a		n/a	n/a	n/a	TKH-2020-000…	597	137 ( 22.9% )	0 ( 0.0% )	0 ( 0.0% )	461 ( 77.2% )

Table 209. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
casenumber	77.05%	77.22%	null	TKH-2014-000443

Completeness

Figure 212. Visualization of completeness of the data in the column.

Uniqueness

Figure 213. Visualization of uniqueness of the data in the column.

Column: disease

Table 210. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	disease
Description	Name of the disease
Data type	String
Descriptor	pms:disease [UID:0.0.HNYBD375]
Descriptor description	‘disease’ means the occurrence of infections and infestations in animals, with or without clinical or pathological manifestations, caused by one or more disease agents;
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HNYBD375
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
disease	32 - 108	n/a	American fou…	n/a	n/a	n/a	Varroosis of…	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	3 ( 0.5% )

Table 212. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
disease	100.00%	0.50%	American foulbrood of honey bees	Varroosis of honey bees in the case of imminent or actual death of at least 30% of the colonies in an apiary

Data Distribution Top 20

Figure 214. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: animalspecies

Table 213. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	animalspecies
Description	The GBIF Taxon ID of the animal species concerned by the notified outbreak. It is the number following the URL https://www.gbif.org/species/, which points to a taxonomic rank.
Data type	Integer number
Descriptor	pms:gbifTaxonID [UID:0.0.GBFTX336]
Descriptor description	The taxonID used by the the Global Biodiversity Information Facility (GBIF), an international network and data infrastructure aimed at providing open access to data about all types of life on Earth.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.GBFTX336
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
animalspecies	7 - 7	1,341,976.0	1,341,976	1,341,976	1,341,976	1,341,976	1,341,976	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )

Table 215. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
animalspecies	100.00%	0.17%	1341976	1341976

Data Distribution Top 20

Figure 217. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 218. Distribution of values in the column.

Outliers

Figure 219. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: datestart

Table 216. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	datestart
Description	Date of establishment of a quarantine area. Official start of outbreak.
Data type	Date
Descriptor	pms:startDate [UID:0.0.STRTD805]
Descriptor description	Calendar date in which a dwc:Event starts.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.STRTD805
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
datestart	0 - 10	2,017.0	2014-06-05	2,016	2,017	2,019	2022-08-30	597	65 ( 10.9% )	0 ( 0.0% )	0 ( 0.0% )	345 ( 57.8% )

Table 218. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
datestart	89.11%	57.79%	null	2015-01-07

Outliers

Figure 222. Visualization of median, min, max, and outliers in the column.

No data available.

Completeness

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

Uniqueness

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

Column: dateend

Table 219. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	dateend
Description	Date of lifting of a quarantine area. Official end of outbreak.
Data type	Date
Descriptor	pms:endDate [UID:0.0.NDDTE806]
Descriptor description	Calendar date in which a dwc:Event ends.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NDDTE806
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
dateend	0 - 10	2,018.0	2014-08-06	2,016	2,017	2,019	2022-11-26	597	172 ( 28.8% )	0 ( 0.0% )	0 ( 0.0% )	217 ( 36.3% )

Table 221. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
dateend	71.19%	36.35%	null	2015-05-04

Outliers

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

No data available.

Completeness

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

Uniqueness

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

Column: country

Table 222. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	country
Description	ISO 3166-1 alpha-3 code of the country in which the notified outbreak occurred.
Data type	String
Descriptor	iso-3166:alpha-3CountryCode [UID:0.0.LPHCN5]
Descriptor description	A three-letter code that represents a country name, which is usually more closely related to the country name.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.LPHCN5
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
country	3 - 3	n/a	AUT	n/a	n/a	n/a	BEL	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	2 ( 0.3% )

Table 224. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
country	100.00%	0.34%	AUT	BEL

Data Distribution Top 20

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

Completeness

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

Uniqueness

Figure 230. Visualization of uniqueness of the data in the column.

Column: nuts

Table 225. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	nuts
Description	Nuts code of the geographic entity in which the notified outbreak occurred.
Data type	String
Descriptor	eurostat:nuts2021Code [UID:0.0.NTSCD55]
Descriptor description	A NUTS code defined in the NUTS classification 2021, valid from 2021-01-01 to 2023-12-31, containing 92 regions at NUTS level 1, 244 regions at NUTS level 2 and 1165 regions at NUTS level 3 level.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTSCD55
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
nuts	2 - 5	n/a	BE	n/a	n/a	n/a	BE353	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	28 ( 4.7% )

Table 227. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
nuts	100.00%	4.69%	AT12	BE221

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: districtcode

Table 228. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	districtcode
Description	Official code of the municipality (Gemeindekennziffer) in which the notified outbreak occurred.
Data type	Integer number
Descriptor	eurostat:MunicipalityCode [UID:0.0.MNCPL132]
Descriptor description	A term from the Darwin Core standard: The full, unabbreviated name of the next smaller administrative region than county (city, municipality, etc.) in which the dcterms:Location occurs. Do not use this term for a nearby named place that does not contain the actual dcterms:Location.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.MNCPL132
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
districtcode	3 - 3	489.6	106	323	504	620	900	597	137 ( 22.9% )	0 ( 0.0% )	0 ( 0.0% )	68 ( 11.4% )

Table 230. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
districtcode	77.05%	11.39%	504	307

Continuous Data Distribution

Figure 233. Distribution of values in the column.

Outliers

Figure 234. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 236. Visualization of uniqueness of the data in the column.

Column: postcode

Table 231. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	postcode
Description	Postcode of the location in which the notified outbreak occurred.
Data type	String
Descriptor	eurostat:postcode [UID:0.0.PSTCD378]
Descriptor description	A postal code (also known locally in various English-speaking countries throughout the world as a postcode, post code, PIN or ZIP Code) is a series of letters or digits or both, sometimes including spaces or punctuation, included in a postal address for the purpose of sorting mail.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.PSTCD378
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
postcode	4 - 4	6,327.6	1,549	6,180	6,740	7,332	9,255	597	525 ( 87.9% )	0 ( 0.0% )	0 ( 0.0% )	34 ( 5.7% )

Table 233. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
postcode	12.06%	5.70%	6280	7973

Continuous Data Distribution

Figure 237. Distribution of values in the column.

Outliers

Figure 238. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: unit

Table 234. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
unit	6 - 6	n/a	number	n/a	n/a	n/a	number	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )

Table 236. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
unit	100.00%	0.17%	number	number

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: value

Table 237. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	value
Description	Number of notified outbreaks (on an apiary basis) per district (Politischer Bezirk) or postcode or NUTS region (if district or postcode is NULL) and month or year (if month is NULL).
Data type	Integer number
Descriptor	Integer [UID:0.0.NTGER313]
Descriptor description	A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit	no.

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
value	1 - 2	1.2	0	1	1	1	36	597	0 ( 0.0% )	3 ( 0.5% )	0 ( 0.0% )	11 ( 1.8% )

Table 239. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
value	100.00%	1.84%	1	11

Data Distribution Top 20

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

Continuous Data Distribution

Figure 245. Distribution of values in the column.

Outliers

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

Completeness

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

Uniqueness

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

Column: annotation

Table 240. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
annotation	0 - 0	n/a		n/a	n/a	n/a		597	597 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 0.2% )

Table 242. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
annotation	0.00%	0.17%	null	null

Data Distribution Top 20

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

Completeness

Figure 250. Visualization of completeness of the data in the column.

Uniqueness

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

Column: sourceid

Table 243. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	sourceid
Description	Reference to the data source.
Data type	Integer number
Descriptor	Source ID [UID:VTCSS14.0.SRCDA377]
Descriptor description	Links to the source from which the reported value in a record was obtained.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/VTCSS14.0.SRCDA377
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
sourceid	1 - 2	51.2	1	36.5	59	61	80	597	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	54 ( 9.0% )

Table 245. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
sourceid	100.00%	9.05%	61	4

Continuous Data Distribution

Figure 252. Distribution of values in the column.

Outliers

Figure 253. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Table: References

Column: îd

Table 246. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	îd
Description	Reference to the data source.
Data type	Integer number
Descriptor	Source ID [UID:VTCSS14.0.SRCDA377]
Descriptor description	Links to the source from which the reported value in a record was obtained.
Descriptor target IRI	https://app.pollinatorhub.eu/vocabulary/descriptors/VTCSS14.0.SRCDA377
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
îd	1 - 2	40.5	1	20.25	40.5	60.75	80	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	80 ( 100.0% )

Table 248. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
îd	100.00%	100.00%	1	1

Continuous Data Distribution

Figure 256. Distribution of values in the column.

Outliers

Figure 257. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: format

Table 249. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
format	6 - 6	n/a	BibTeX	n/a	n/a	n/a	BibTeX	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.3% )

Table 251. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
format	100.00%	1.25%	BibTeX	BibTeX

Data Distribution Top 20

Figure 260. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: reference

Table 252. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
reference	404 - 506	n/a	@misc{agence…	n/a	n/a	n/a	@techreport{…	80	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	80 ( 100.0% )

Table 254. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
reference	100.00%	100.00%	@techreport{bundesministerium_fur_soziales_gesundheit_pflege_und_konsumentenschutz_tiergesundheitsbericht_2016, address = {Wien, AT}, title = {Tiergesundheitsbericht {Berichtszeitraum} {September} 2016}, url = {https://www.verbrauchergesundheit.gv.at/tiere/krankheiten/tgb_adns/TGB_AT_September_2016.pdf?92t3gv}, language = {de}, urldate = {2023-02-08}, author = {{Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz}}, month = oct, year = {2016}, }	@techreport{bundesministerium_fur_soziales_gesundheit_pflege_und_konsumentenschutz_tiergesundheitsbericht_2016, address = {Wien, AT}, title = {Tiergesundheitsbericht {Berichtszeitraum} {September} 2016}, url = {https://www.verbrauchergesundheit.gv.at/tiere/krankheiten/tgb_adns/TGB_AT_September_2016.pdf?92t3gv}, language = {de}, urldate = {2023-02-08}, author = {{Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz}}, month = oct, year = {2016}, }

Completeness

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

Uniqueness

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