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Dataset report

Unique identifier:	HNYBN208.0.0
Title:	Honey bee notifiable diseases
Long title:	World Honey Bee notifiable diseases
Status:	Quality Validated
Current Version:	v. 1.0
Published:	2026-06-01
Reviewed by:
Citation proposal:	EU Pollinator Hub 2026 Report of dataset Honey bee notifiable diseases, v. 1.0 [HNYBN208.0.0]. EU Pollinator Hub. [2026-06-06] 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. World Notifiable diseases HB
References
Annex 1: Table column reports

Document history

Release

Version v. 1.0 released on 2026-06-01.

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	2026-06-01 19:06:31	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	Event-list-03_12_2024.csv	CSV - Comma seperated values	Yes	No	2024-12-03 16:12:02	970	16.66 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	World Notifiable diseases HB	Historical events of Honey Bee diseases notified by WOAH member countries throughout the world.

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

Parameter	Content
interactions.single.uid	HNYBN208.0.0
Title	Honey bee notifiable diseases
Long title	World Honey Bee notifiable diseases
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/HNYBN208.0.0
interactions.single.section-details.licence	CC BY 4.0
DOI	n/a
Created	2024-12-03
Published	2026-06-01
Contact	n/a
Keywords	AFB, Acarapis woodi, Aethina, EFB, Notifiable diseases, Tropilaelaps, Varroa, WOAH
Data collection years	n/a
Regions, the data was collected in	n/a
Abstract	List of notifiable diseases collected by the World Organisation for Animal Health available in their database WAHIS (https://wahis.woah.org/#/home)

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

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

Tables

World Notifiable diseases HB

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

Parameter	Content
Unique identifier	HNYBN208.WRLDN522.0
Name	World Notifiable diseases HB
Target IRI	https://app.pollinatorhub.eu/dataset-discovery/parts/HNYBN208.WRLDN522.0
Table Type	File
Licence	CC BY 4.0
Description	Historical events of Honey Bee diseases notified by WOAH member countries throughout the world.

Historical events of Honey Bee diseases notified by WOAH member countries throughout the world.

Metadata

n/a

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

Column Name	Column Description	Datatype	Descriptor	Unit
country	Country in which the outbreak happened	String	dwc:country [0.0.CNTRY159]	n/a
eventId	Number of the Event ID according to WAHIS	Integer number	Integer [0.0.NTGER313]	n/a
reportId	Number of Report Id according to WAHIS	Integer number	Integer [0.0.NTGER313]	n/a
disease	Name of the honey bee disease	String	pms:disease [0.0.HNYBD375]	n/a
subType	Subtype of disease	String	pms:disease [0.0.HNYBD375]	n/a
eventStartDate	Date in which the event started	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
reason	Comments about the outbreak of the disease in the country.	String	Text [0.0.TEXTA315]	n/a
reportStatus	Status of the outbreak: Validated or not.	String	Text [0.0.TEXTA315]	n/a
submissionDate	Date of official notification to WAHIS.	Date	iso-8601:calendarDate [0.0.DATEA317]	n/a
reportNumber	Report Number in WAHIS.	String	Text [0.0.TEXTA315]	n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
country	4 - 24	n/a	Australia	n/a	n/a	n/a	United State…	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	40 ( 41.2% )
eventId	2 - 4	2,095.3	17	1,038	1,817	2,714.5	5,846	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	97 ( 100.0% )
reportId	2 - 6	40,133.6	21	5,636.5	9,705	16,916.5	170,698	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	97 ( 100.0% )
disease	40 - 70	n/a	Acarapis woo…	n/a	n/a	n/a	Varroa spp.…	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 5.2% )
subType	0 - 0	n/a		n/a	n/a	n/a		97	97 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.0% )
eventStartDate	10 - 10	n/a	01/03/2015	n/a	n/a	n/a	31/10/2009	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	96 ( 99.0% )
reason	31 - 43	n/a	First occurr…	n/a	n/a	n/a	Recurrence o…	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 4.1% )
reportStatus	9 - 9	n/a	Validated	n/a	n/a	n/a	Validated	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.0% )
submissionDate	10 - 10	n/a	01/07/2013	n/a	n/a	n/a	31/10/2016	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	89 ( 91.8% )
reportNumber	2 - 7	n/a	FUR_1	n/a	n/a	n/a	IN	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 18.6% )

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
country	100.00%	41.24%	Romania	Japan
eventId	100.00%	100.00%	841	841
reportId	100.00%	100.00%	3170	3170
disease	100.00%	5.15%	Melissococcus plutonius (Inf. of honey bees with) (European foulbrood)	Acarapis woodi (Inf. of honey bees with)
subType	0.00%	1.03%	n/a	n/a
eventStartDate	100.00%	98.97%	01/05/2013	31/10/2009
reason	100.00%	4.12%	Recurrence of an eradicated disease	New strain in a zone or a compartment
reportStatus	100.00%	1.03%	Validated	Validated
submissionDate	100.00%	91.75%	10/01/2019	16/04/2010
reportNumber	100.00%	18.56%	FUR_1	FUR_112

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

References

WOAH WAHIS. [2024-12-3] wahis.woah.org

Annex 1: Table column reports

Table: World Notifiable diseases HB

Column: country

Table 10. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	country
Description	Country in which the outbreak happened
Data type	String
Descriptor	dwc:country [UID:0.0.CNTRY159]
Descriptor description	A collective generic term that refers here to a wide variety of dependencies, areas of special sovereignty, uninhabited islands, and other entities in addition to the traditional countries or independent states.
Descriptor target IRI	http://rs.tdwg.org/dwc/terms/country
Unit	n/a

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
country	4 - 24	n/a	Australia	n/a	n/a	n/a	United State…	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	40 ( 41.2% )

Table 12. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in 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%	41.24%	Romania	Japan

Completeness

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

Uniqueness

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

Column: eventId

Table 13. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

Table 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
eventId	2 - 4	2,095.3	17	1,038	1,817	2,714.5	5,846	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	97 ( 100.0% )

Table 15. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
eventId	100.00%	100.00%	841	841

Continuous Data Distribution

Figure 3. Distribution of values in the column.

Outliers

Figure 4. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: reportId

Table 16. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

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

Table 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
reportId	2 - 6	40,133.6	21	5,636.5	9,705	16,916.5	170,698	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	97 ( 100.0% )

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

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
reportId	100.00%	100.00%	3170	3170

Continuous Data Distribution

Figure 7. Distribution of values in the column.

Outliers

Figure 8. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: disease

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).

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
disease	40 - 70	n/a	Acarapis woo…	n/a	n/a	n/a	Varroa spp.…	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	5 ( 5.2% )

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
disease	100.00%	5.15%	Melissococcus plutonius (Inf. of honey bees with) (European foulbrood)	Acarapis woodi (Inf. of honey bees with)

Data Distribution Top 20

Figure 11. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: subType

Table 22. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	subType
Description	Subtype of disease
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 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	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
subType	0 - 0	n/a		n/a	n/a	n/a		97	97 ( 100.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.0% )

Table 24. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
subType	0.00%	1.03%	n/a	n/a

Data Distribution Top 20

Figure 14. Distribution of 20 most common values, from highest to lowest.

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: eventStartDate

Table 25. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	eventStartDate
Description	Date in which the event started
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
eventStartDate	10 - 10	n/a	01/03/2015	n/a	n/a	n/a	31/10/2009	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	96 ( 99.0% )

Table 27. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
eventStartDate	100.00%	98.97%	01/05/2013	31/10/2009

Completeness

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

Uniqueness

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

Column: reason

Table 28. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Parameter	Content
Column name	reason
Description	Comments about the outbreak of the disease in the country.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
reason	31 - 43	n/a	First occurr…	n/a	n/a	n/a	Recurrence o…	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	4 ( 4.1% )

Table 30. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
reason	100.00%	4.12%	Recurrence of an eradicated disease	New strain in a zone or a compartment

Data Distribution Top 20

Figure 19. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: reportStatus

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).

Parameter	Content
Column name	reportStatus
Description	Status of the outbreak: Validated or not.
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 32. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
reportStatus	9 - 9	n/a	Validated	n/a	n/a	n/a	Validated	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	1 ( 1.0% )

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

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
reportStatus	100.00%	1.03%	Validated	Validated

Data Distribution Top 20

Figure 22. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: submissionDate

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).

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

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
submissionDate	10 - 10	n/a	01/07/2013	n/a	n/a	n/a	31/10/2016	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	89 ( 91.8% )

Table 36. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
submissionDate	100.00%	91.75%	10/01/2019	16/04/2010

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: reportNumber

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).

Parameter	Content
Column name	reportNumber
Description	Report Number in WAHIS.
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 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).

Column Name	Range	Mean	Minimum	Q₁	Median	Q₃	Maximum	Total	Missing	Zero	Blank	Distinct
reportNumber	2 - 7	n/a	FUR_1	n/a	n/a	n/a	IN	97	0 ( 0.0% )	0 ( 0.0% )	0 ( 0.0% )	18 ( 18.6% )

Table 39. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).

Column Name	Completeness	Uniqueness	Most Common Value	Least Common Value
reportNumber	100.00%	18.56%	FUR_1	FUR_112

Completeness

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

Uniqueness

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