EU Pollinator Hub

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Dataset Report
Unique identifier: BLGMC173.0.0
Title: Belgium cases AFB & EFB
Long title: Belgian cases of American and European Foulbrood
Status: Quality Validated
Current Version: v. 1.0
Published: 2024-12-11
Reviewed by:
Citation proposal:
Simon Delso, Marcos 2024 Report of dataset Belgium cases AFB & EFB, v. 1.0 [BLGMC173.0.0]. EU Pollinator Hub. [2026-02-24] app.pollinatorhub.eu
Compliance with FAIR* principles
Findable
Accessible
Interoperable
Reusable
See https://www.go-fair.org/fair-principles for more information about FAIR principles
Data Quality
Under evaluation

Document history

Release

Version v. 1.0 released on 2024-12-11.

Revision

Table 1. List of revisions made to the document. Identifier of revision (No); date of revision (Date); description of revision (Description); reason for revision (Reason).
No Date Description Reason
1 2024-12-11 00:12:00 Initial release. n/a

Abbreviations

No abbreviations.

Executive summary

Data overview:

n/a

Data value:

n/a

Data description:

n/a

Data application:

n/a

Unresolved issues:

n/a

Introduction

n/a

Material and methods

Data acquisition

n/a
Table 2. List of raw data and metadata files included in the dataset. Identifier of table row (No); name of the file (File); the type of the file (Type); file contains data (D); file contains metadata (M); date of upload of the file to the EU Pollinator Hub (Arrival); number of data points contained within the file (if applicable); uploaded file size.
No File Type D M Arrival Data points File size
1 Belgium - Data AFB and EFB_2024_PREP_MR_241211.csv CSV - Comma seperated values Yes No 2024-12-11 15:12:35 1,155 17.50 KiB

Data preparation

n/a

Data validation

n/a

Data analysis

n/a

Data description

Dataset

Table 3. Summary of tables belonging to the dataset. Table row identifier (No); name of the table (Table); description of the table (Description).
No Table Description
1 AFB and EFB Data_update 2024 Outbreak declaration data of American Foulbrood and European Foulbrood in Belgium. Updated data from 2024. Source: FAVV-AFSCA.
Table 4. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
interactions.single.uid BLGMC173.0.0
Title Belgium cases AFB & EFB
Long title Belgian cases of American and European Foulbrood
Target IRI https://app.pollinatorhub.eu/dataset-discovery/BLGMC173.0.0
interactions.single.section-details.licence CC BY 4.0
DOI n/a
Created 2024-08-14
Published 2024-12-11
Contact n/a
Keywords American foulbrood, Belgium, European foulbrood
Data collection years n/a
Regions, the data was collected in Belgique/België
Abstract

Outbreaks of American Foulbrood (Paenibacillus larvae) and European Foulbrood (Melissococcus plutonius) in Belgium. Some data are provided by precise date and some other per year.
Table 5. Standardised metadata of the data provider Simon Delso. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Name Simon Delso
Url
Acronym Noa
IRI https://app.pollinatorhub.eu/data-providers/noa-simon-delso-2
Contact simon@bee-life.eu
Description

Noa Simón Delso became Scientific Director and Project Manager at BeeLife at the beginning of 2021. She holds a PhD in Agricultural Science and Bioengineering from the Université Catholique de Louvain (Belgium), an MSc in Economy, Management and Consumer Studies from Wageningen University (the Netherlands) and she is a DVM from the University of León (Spain).

In her scientific career, Noa has specialised in environmental toxicology, particularly on bees, environmental policy and honey bee health, fields in which she has published several papers in peer-reviewed international journals in the field of environmental research, health and toxicology. In 2019 she started diversifying her activities, evolving towards the implementation of data science to pollinators health. In parallel, she has provided technical assistance to Belgian and European beekeepers and decision makers.

Since 2009, she has advised in scientific-technical dossiers to the European organisation BeeLife, following the evolution and implementation of European legislation on the subject of pesticide authorisation, agricultural and environmental policy. During this time, she developed great expertise in the regulatory framework and policies related to pollinator health and conservation.

More on: https://www.researchgate.net/profile/Noa-Simon-Delso
Table 6. Standardised metadata of the data provider Marcos. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Name Marcos
Url
Acronym EM
IRI https://app.pollinatorhub.eu/data-providers/eduardo-marcos
Contact marcos@bee-life.com 659532239
Description

Tables

AFB and EFB Data_update 2024

Table 7. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier BLGMC173.FBNDF351.0
Name AFB and EFB Data_update 2024
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/BLGMC173.FBNDF351.0
Table Type File
Licence CC BY 4.0
Description

Outbreak declaration data of American Foulbrood and European Foulbrood in Belgium. Updated data from 2024. Source: FAVV-AFSCA.

Outbreak declaration data of American Foulbrood and European Foulbrood in Belgium. Updated data from 2024. Source: FAVV-AFSCA.

Metadata

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

EUPH code of the name of the honey bee disease.

 Integer number pms:euphCode [0.0.PHCDE392]

n/a
Disease Name EN

Name of the honey bee disease in English language.

 String pms:disease [0.0.HNYBD375]

n/a
Disease Name FR

Name of the honey bee disease in French language.

 String pms:disease [0.0.HNYBD375]

n/a
Disease Name ES

Name of the honey bee disease in Spanish language.

 String pms:disease [0.0.HNYBD375]

n/a
Date

Date of noitified outbreak of the honey bee disease.

 Date iso-8601:calendarDate [0.0.DATEA317]

n/a
No Outbreaks

Number of notified outbreaks.

 Integer number Integer [0.0.NTGER313]

no.
Post code

Postal code of the location at which the outbreak occurred.

 String eurostat:postcode [0.0.PSTCD378]

n/a
Location

Name of the location at which the outbreak occurred.

 String Text [0.0.TEXTA315]

n/a
Country

ISO 3166 alpha-2 code of the country in which the outbreak occurred.

 String iso-3166:alpha-2CountryCode [0.0.LPHCN4]

n/a
Restrictions measures taken until

Restriction measures are taken until a date because these diseases are target of official declaration and restrictions need to be taken by the authorities to avoid dispersion of the outbreak.

 Date iso-8601:calendarDate [0.0.DATEA317]

n/a
Source

Source URL

 String Text [0.0.TEXTA315]

n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 9. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
EUPH-Code 3 - 3 117.5 117 117 118 118 118 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.9% )
Disease Name EN 18 - 18 n/a American Fou… n/a n/a n/a European Fou… 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.9% )
Disease Name FR 16 - 16 n/a Loque améric… n/a n/a n/a Loque europé… 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.9% )
Disease Name ES 13 - 15 n/a Peste europe… n/a n/a n/a Peste americ… 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.9% )
Date 10 - 10 2,020.0 2006-12-11 2,018 2,020 2,023 2024-08-13 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 91 ( 86.7% )
No Outbreaks 1 - 2 1.6 0 1 1 1 36 105 0 ( 0.0% ) 3 ( 2.9% ) 0 ( 0.0% ) 9 ( 8.6% )
Post code 4 - 4 6,028.7 1,000 5,832 6,666 7,050 9,255 105 12 ( 11.4% ) 0 ( 0.0% ) 0 ( 0.0% ) 54 ( 51.4% )
Location 0 - 29 n/a n/a n/a n/a Halleux (La… 105 12 ( 11.4% ) 0 ( 0.0% ) 0 ( 0.0% ) 62 ( 59.0% )
Country 2 - 2 n/a BE n/a n/a n/a BE 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 1.0% )
Restrictions measures taken until 0 - 10 2,020.0 2014-06-08 2,018 2,020 2,021 2024-02-08 105 56 ( 53.3% ) 0 ( 0.0% ) 0 ( 0.0% ) 27 ( 25.7% )
Source 65 - 84 n/a http://www.f… n/a n/a n/a https://favv… 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.9% )

Quality measures

Table 10. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
EUPH-Code
100.00%
1.90%
118 117
Disease Name EN
100.00%
1.90%
European Foulbrood American Foulbrood
Disease Name FR
100.00%
1.90%
Loque européenne Loque américaine
Disease Name ES
100.00%
1.90%
Peste europea Peste americana
Date
100.00%
86.67%
2020-05-18 2014-05-06
No Outbreaks
100.00%
8.57%
1 5
Post code
88.57%
51.43%
null 7973
Location
88.57%
59.05%
null Stambruge
Country
100.00%
0.95%
BE BE
Restrictions measures taken until
46.67%
25.71%
null 2014-06-08
Source
100.00%
1.90%
http://www.favv-afsca.fgov.be/santeanimale/zoosanitaire-belgique/ https://favv-afsca.be/fr/themes/animaux/sante-animale/maladies-animales/apiculture#5

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

References

  1. Anonymous Apiculture | Agence fédérale pour la sécurité de la chaîne alimentaire. [2024-8-14] favv-afsca.be

Annex 1: Table column reports

Table: AFB and EFB Data_update 2024

Column: EUPH-Code

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).
Parameter Content
Column name EUPH-Code
Description

EUPH code of the name of the honey bee disease.
Data type Integer number
Descriptor pms:euphCode [UID:0.0.PHCDE392]
Descriptor description

An EUPH code is an EUPH-CV entity. It is a property of an EUPH class that confers a unique identifier to the class. It is required for the standardisation within and across datasets.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.PHCDE392
Unit

n/a
Table 12. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
EUPH-Code 3 - 3 117.5 117 117 118 118 118 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.9% )
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
EUPH-Code
100.00%
1.90%
118 117

Data Distribution Top 20

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

Continuous Data Distribution

Figure 2. Distribution of values in the column.

Outliers

Figure 3. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: Disease Name EN

Table 14. Structural analysis of the table. Column name (Name); concise description of the column (Description); 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 Name EN
Description

Name of the honey bee disease in English language.
Data type String
Descriptor pms:disease [UID:0.0.HNYBD375]
Descriptor description

Damage on the health manifested by a set of signs and symptoms perceptible directly or not, corresponding to general or localized disorders, functional or lesional, due to internal or external causes.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HNYBD375
Unit

n/a
Table 15. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
Disease Name EN 18 - 18 n/a American Fou… n/a n/a n/a European Fou… 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.9% )
Table 16. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in 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 Name EN
100.00%
1.90%
European Foulbrood American Foulbrood

Data Distribution Top 20

Figure 6. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: Disease Name FR

Table 17. Structural analysis of the table. Column name (Name); concise description of the column (Description); 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 Name FR
Description

Name of the honey bee disease in French language.
Data type String
Descriptor pms:disease [UID:0.0.HNYBD375]
Descriptor description

Damage on the health manifested by a set of signs and symptoms perceptible directly or not, corresponding to general or localized disorders, functional or lesional, due to internal or external causes.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HNYBD375
Unit

n/a
Table 18. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-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 Name FR 16 - 16 n/a Loque améric… n/a n/a n/a Loque europé… 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.9% )
Table 19. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in 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 Name FR
100.00%
1.90%
Loque européenne Loque américaine

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: Disease Name ES

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

Name of the honey bee disease in Spanish language.
Data type String
Descriptor pms:disease [UID:0.0.HNYBD375]
Descriptor description

Damage on the health manifested by a set of signs and symptoms perceptible directly or not, corresponding to general or localized disorders, functional or lesional, due to internal or external causes.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HNYBD375
Unit

n/a
Table 21. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-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 Name ES 13 - 15 n/a Peste europe… n/a n/a n/a Peste americ… 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.9% )
Table 22. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
Disease Name ES
100.00%
1.90%
Peste europea Peste americana

Data Distribution Top 20

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

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: Date

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).
Parameter Content
Column name Date
Description

Date of noitified outbreak of the honey bee disease.
Data type Date
Descriptor iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description

particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit

n/a
Table 24. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
Date 10 - 10 2,020.0 2006-12-11 2,018 2,020 2,023 2024-08-13 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 91 ( 86.7% )
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
Date
100.00%
86.67%
2020-05-18 2014-05-06

Outliers

Figure 15. Visualization of median, min, max, and outliers in the column.
No data available.

Completeness

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

Uniqueness

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

Column: No Outbreaks

Table 26. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name No Outbreaks
Description

Number of notified outbreaks.
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 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 Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
No Outbreaks 1 - 2 1.6 0 1 1 1 36 105 0 ( 0.0% ) 3 ( 2.9% ) 0 ( 0.0% ) 9 ( 8.6% )
Table 28. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
No Outbreaks
100.00%
8.57%
1 5

Data Distribution Top 20

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

Continuous Data Distribution

Figure 19. Distribution of values in the column.

Outliers

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

Completeness

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

Uniqueness

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

Column: Post code

Table 29. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name Post code
Description

Postal code of the location at which the 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 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).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
Post code 4 - 4 6,028.7 1,000 5,832 6,666 7,050 9,255 105 12 ( 11.4% ) 0 ( 0.0% ) 0 ( 0.0% ) 54 ( 51.4% )
Table 31. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
Post code
88.57%
51.43%
null 7973

Continuous Data Distribution

Figure 23. Distribution of values in the column.

Outliers

Figure 24. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: Location

Table 32. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name Location
Description

Name of the location at which the outbreak occurred.
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 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).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
Location 0 - 29 n/a n/a n/a n/a Halleux (La… 105 12 ( 11.4% ) 0 ( 0.0% ) 0 ( 0.0% ) 62 ( 59.0% )
Table 34. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
Location
88.57%
59.05%
null Stambruge

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: Country

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

ISO 3166 alpha-2 code of the country in which the outbreak occurred.
Data type String
Descriptor iso-3166:alpha-2CountryCode [UID:0.0.LPHCN4]
Descriptor description

A two-letter code that represents a country name, recommended as the general purpose code.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.LPHCN4
Unit

n/a
Table 36. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
Country 2 - 2 n/a BE n/a n/a n/a BE 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 1.0% )
Table 37. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
Country
100.00%
0.95%
BE BE

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: Restrictions measures taken until

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

Restriction measures are taken until a date because these diseases are target of official declaration and restrictions need to be taken by the authorities to avoid dispersion of the outbreak.
Data type Date
Descriptor iso-8601:calendarDate [UID:0.0.DATEA317]
Descriptor description

particular calendar day [...] represented by its calendar year [...], its calendar month [...] and its calendar day of month [...]
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DATEA317
Unit

n/a
Table 39. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
Restrictions measures taken until 0 - 10 2,020.0 2014-06-08 2,018 2,020 2,021 2024-02-08 105 56 ( 53.3% ) 0 ( 0.0% ) 0 ( 0.0% ) 27 ( 25.7% )
Table 40. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
Restrictions measures taken until
46.67%
25.71%
null 2014-06-08

Outliers

Figure 32. Visualization of median, min, max, and outliers in the column.
No data available.

Completeness

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

Uniqueness

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

Column: Source

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

Source URL
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

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

n/a
Table 42. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
Source 65 - 84 n/a http://www.f… n/a n/a n/a https://favv… 105 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.9% )
Table 43. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
Source
100.00%
1.90%
http://www.favv-afsca.fgov.be/santeanimale/zoosanitaire-belgique/ https://favv-afsca.be/fr/themes/animaux/sante-animale/maladies-animales/apiculture#5

Data Distribution Top 20

Figure 35. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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