EU Pollinator Hub

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Dataset Report
Unique identifier: HVSCL24.0.0
Title: Hive scales ONM
Long title: Hive scale data provided by members of the organisation Osservatorio Nazionale Miele
Status: Quality Validated
Current Version: v. 1.0
Published: 2024-01-06
Reviewed by:
Citation proposal:
EU Pollinator Hub, Pappalardo 2024 Report of dataset Hive scales ONM, v. 1.0 [HVSCL24.0.0]. 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 2024-01-06.

Revision

Table 1. List of revisions made to the document. Identifier of revision (No); date of revision (Date); description of revision (Description); reason for revision (Reason).
No Date Description Reason
1 2024-01-06 00:01:00 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 hivescale.csv CSV - Comma seperated values Yes No 2024-01-07 20:01:45 3,901,008 37.91 MiB

Data preparation

n/a

Data validation

n/a

Data analysis

n/a

Data description

Dataset

Table 3. Summary of tables belonging to the dataset. Table row identifier (No); name of the table (Table); description of the table (Description).
No Table Description
1 Hivescale The table contains data from 57 hive scales in Italy, in the period form 1 June 2021 to 31 December…
Table 4. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
interactions.single.uid HVSCL24.0.0
Title Hive scales ONM
Long title Hive scale data provided by members of the organisation Osservatorio Nazionale Miele
Target IRI https://app.pollinatorhub.eu/dataset-discovery/HVSCL24.0.0
interactions.single.section-details.licence CC BY-SA 4.0
DOI n/a
Created 2023-01-26
Published 2024-01-06
Contact n/a
Keywords Abruzzo, Basilicata, Calabria, Campania, Emilia-Romagna, Friuli-Venezia Giulia, Italy, Lazio, Liguria, Lombardia, Marche, Molise, Piemonte, Puglia, Sardegna, Sicilia, Toscana, Trentino-Alto Adige, Umbria, Valle d'Aosta, Veneto, hive scale
Data collection years 2021-2023
Regions, the data was collected in Italia
Abstract

The dataset contains data from hive scales (hive weight, temperature, relative humidity, air pressure) from various apiaries in Italy. Data was provided by Osservatorio Nazionale Miele.
Table 5. Standardised metadata of the data provider EU Pollinator Hub. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Name EU Pollinator Hub
Url
Acronym EUPH
IRI https://app.pollinatorhub.eu/data-providers/euph
Address
Country Belgium
Contact https://www.linkedin.com/company/beelife-european-beekeeping-coordination/ pollinatorhub.eu
Description

The EU Pollinator Hub (EUPH) is a data hub related to pollinators, which is provided by the European Food Safety Authority (EFSA).
Table 6. Standardised metadata of the data provider Pappalardo. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Name Pappalardo
Url
Acronym SP
IRI https://app.pollinatorhub.eu/data-providers/simona-pappalardo
Contact n/a
Description

Tables

Hivescale

Table 7. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier HVSCL24.HVSCL178.0
Name Hivescale
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/HVSCL24.HVSCL178.0
Table Type File
Licence CC BY-SA 4.0
Description

The table contains data from 57 hive scales in Italy, in the period form 1 June 2021 to 31 December 2023.

The table contains data from 57 hive scales in Italy, in the period form 1 June 2021 to 31 December 2023.

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
id

Identifier of the record.

 Integer number dwc:identificationID [0.0.DNTFC406]

n/a
datetime

Date and time of measurement by the hive scale.

 Date and Time iso-8601:calendarDateAndTime [0.0.DTNDT319]

n/a
hive_scale

Name of the hive scale.

 String Text [0.0.TEXTA315]

n/a
hive_weight

Weight of up to 5 hives in kg, measured by the hive scale.

 Decimal number pms:hiveWeight [0.0.HVWGH33]

kg
temperature

Ambient air temperature in °C, measured by the hive scale.

 Decimal number pms:temperature [0.0.TMPRT394]

°C
rh

Ambient relative humidity in %, measured by the hive scale.

 Decimal number pms:relativeHumidity [0.0.RLTVH395]

%
air_pressure

Atmospheric pressure in mbar (hPa) measured by the hive scale.

 Decimal number pms:atmosphericPressure [0.0.TMSPH396]
elevation

Height above sea level measured by the hive scale (may be incorrect).

 Decimal number dwc:verbatimElevation [0.0.DWCVR436]

n/a
lau

LAU code of the local area unit in which the hive scale is located.

 Integer number eurostat:lauCode [0.0.LCODE73]

n/a
lau_name

Name of the local area unit in which the hive scale is located.

 String Text [0.0.TEXTA315]

n/a
lau_latitude

Geographical coordinate, latitude, of the local administrative unit as provided by OpenStreetMap.

 Decimal number dwc:decimalLatitude [0.0.LTTDE333]

°
lau_longitude

Geographical coordinate, longitude, of the local administrative unit as provided by OpenStreetMap.

 Decimal number dwc:decimalLongitude [0.0.LNGTD332]

°

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
id 1 - 6 200,757.4 1 111,597.25 201,108.5 303,838.75 392,053 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 325,084 ( 100.0% )
datetime 19 - 19 2,023.0 2021-06-01 1… 2,022 2,023 2,023 2023-12-31 2… 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 323,150 ( 99.4% )
hive_scale 11 - 11 n/a beicavie520 n/a n/a n/a beicavie553 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 51 ( 0.0% )
hive_weight 5 - 6 38.582 10.01 30.81 35.36 41.5 594.53 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 8,677 ( 2.7% )
temperature 3 - 5 14.27 -11.2 7.9 14 20 60.1 325,084 16,892 ( 5.2% ) 2,576 ( 0.8% ) 0 ( 0.0% ) 665 ( 0.2% )
rh 3 - 5 76.40 0.0 58.6 82.7 100 100.0 325,084 16,879 ( 5.2% ) 3,298 ( 1.0% ) 0 ( 0.0% ) 964 ( 0.3% )
air_pressure 5 - 6 979.29 689.0 961.9 987.3 1,003 1,724.6 325,084 18,764 ( 5.8% ) 0 ( 0.0% ) 0 ( 0.0% ) 2,053 ( 0.6% )
elevation 3 - 6 3.58 0.0 0 0 0 3,155.9 325,084 0 ( 0.0% ) 321,560 ( 98.9% ) 0 ( 0.0% ) 1,652 ( 0.5% )
lau 6 - 6 39,913.9 1,272 15,002 33,045 64,095 102,010 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 122 ( 0.0% )
lau_name 4 - 33 n/a Roma n/a n/a n/a Primiero San… 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 122 ( 0.0% )
lau_latitude 0 - 0 n/a n/a n/a n/a 325,084 325,084 ( 100.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.0% )
lau_longitude 9 - 10 11.55231491 7.0647408 8.9338624 11.5368965 13.5383743 17.3349040 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 122 ( 0.0% )

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
id
100.00%
100.00%
1 1
datetime
100.00%
99.41%
2022-07-08 08:04:56 2021-06-01 15:11:02
hive_scale
100.00%
0.02%
beicavie525 beicavie547
hive_weight
100.00%
2.67%
396.46 19.47
temperature
94.80%
0.20%
null 45.2
rh
94.81%
0.30%
100.0 6.2
air_pressure
94.23%
0.63%
null 1485.3
elevation
100.00%
0.51%
0.0 150.8
lau
100.00%
0.04%
070024 007038
lau_name
100.00%
0.04%
Fossalto Jovençan
lau_latitude
0.00%
0.00%
null null
lau_longitude
100.00%
0.04%
14.5457260 7.2763432

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: Hivescale

Column: id

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 id
Description

Identifier of the record.
Data type Integer number
Descriptor dwc:identificationID [UID:0.0.DNTFC406]
Descriptor description

Any identifier for the identification (the body of information associated with the assignment of a scientific name).
Descriptor target IRI http://rs.tdwg.org/dwc/terms/identificationID
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
id 1 - 6 200,757.4 1 111,597.25 201,108.5 303,838.75 392,053 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 325,084 ( 100.0% )
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

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: datetime

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 datetime
Description

Date and time of measurement by the hive scale.
Data type Date and Time
Descriptor iso-8601:calendarDateAndTime [UID:0.0.DTNDT319]
Descriptor description

date and time representation [...] that includes all the time scale components [...] associated with the expression [...]
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DTNDT319
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
datetime 19 - 19 2,023.0 2021-06-01 1… 2,022 2,023 2,023 2023-12-31 2… 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 323,150 ( 99.4% )
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
datetime
100.00%
99.41%
2022-07-08 08:04:56 2021-06-01 15:11:02

Outliers

Figure 5. Visualization of median, min, max, and outliers in the column.
No data available.

Completeness

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

Uniqueness

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

Column: hive_scale

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 hive_scale
Description

Name of the hive scale.
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 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
hive_scale 11 - 11 n/a beicavie520 n/a n/a n/a beicavie553 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 51 ( 0.0% )
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
hive_scale
100.00%
0.02%
beicavie525 beicavie547

Data Distribution Top 20

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

Data Distribution Bottom 20

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

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: hive_weight

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 hive_weight
Description

Weight of up to 5 hives in kg, measured by the hive scale.
Data type Decimal number
Descriptor pms:hiveWeight [UID:0.0.HVWGH33]
Descriptor description

A hive weight is a measurement of the mass of a beehive.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HVWGH33
Unit

kg
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
hive_weight 5 - 6 38.582 10.01 30.81 35.36 41.5 594.53 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 8,677 ( 2.7% )
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
hive_weight
100.00%
2.67%
396.46 19.47

Continuous Data Distribution

Figure 12. Distribution of values in the column.

Outliers

Figure 13. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: temperature

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 temperature
Description

Ambient air temperature in °C, measured by the hive scale.
Data type Decimal number
Descriptor pms:temperature [UID:0.0.TMPRT394]
Descriptor description

The physical quantity Celsius temperature expressed in the derived SI unit with special name and symbol degree Celcius.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TMPRT394
Unit

°C
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
temperature 3 - 5 14.27 -11.2 7.9 14 20 60.1 325,084 16,892 ( 5.2% ) 2,576 ( 0.8% ) 0 ( 0.0% ) 665 ( 0.2% )
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
temperature
94.80%
0.20%
null 45.2

Continuous Data Distribution

Figure 16. Distribution of values in the column.

Outliers

Figure 17. Visualization of median, min, max, and outliers in the column.

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: rh

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 rh
Description

Ambient relative humidity in %, measured by the hive scale.
Data type Decimal number
Descriptor pms:relativeHumidity [UID:0.0.RLTVH395]
Descriptor description

Relative humidity (RH) (expressed as a percent) also measures water vapor, but RELATIVE to the temperature of the air. In other words, it is a measure of the actual amount of water vapor in the air compared to the total amount of vapor that can exist in the air at its current temperature.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.RLTVH395
Unit

%
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
rh 3 - 5 76.40 0.0 58.6 82.7 100 100.0 325,084 16,879 ( 5.2% ) 3,298 ( 1.0% ) 0 ( 0.0% ) 964 ( 0.3% )
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
rh
94.81%
0.30%
100.0 6.2

Continuous Data Distribution

Figure 20. Distribution of values in the column.

Outliers

Figure 21. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: air_pressure

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 air_pressure
Description

Atmospheric pressure in mbar (hPa) measured by the hive scale.
Data type Decimal number
Descriptor pms:atmosphericPressure [UID:0.0.TMSPH396]
Descriptor description

Atmospheric pressure, also known as air pressure or barometric pressure (after the barometer), is the pressure within the atmosphere of Earth.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TMSPH396
Unit
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
air_pressure 5 - 6 979.29 689.0 961.9 987.3 1,003 1,724.6 325,084 18,764 ( 5.8% ) 0 ( 0.0% ) 0 ( 0.0% ) 2,053 ( 0.6% )
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
air_pressure
94.23%
0.63%
null 1485.3

Continuous Data Distribution

Figure 24. Distribution of values in the column.

Outliers

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

Completeness

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

Uniqueness

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

Column: elevation

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 elevation
Description

Height above sea level measured by the hive scale (may be incorrect).
Data type Decimal number
Descriptor dwc:verbatimElevation [UID:0.0.DWCVR436]
Descriptor description

The original description of the elevation (altitude, usually above sea level) of the Location.
Descriptor target IRI http://rs.tdwg.org/dwc/terms/verbatimElevation
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
elevation 3 - 6 3.58 0.0 0 0 0 3,155.9 325,084 0 ( 0.0% ) 321,560 ( 98.9% ) 0 ( 0.0% ) 1,652 ( 0.5% )
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
elevation
100.00%
0.51%
0.0 150.8

Continuous Data Distribution

Figure 28. Distribution of values in the column.

Completeness

Figure 29. Visualization of completeness of the data in the column.

Uniqueness

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

Column: lau

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 lau
Description

LAU code of the local area unit in which the hive scale is located.
Data type Integer number
Descriptor eurostat:lauCode [UID:0.0.LCODE73]
Descriptor description

To meet the demand for statistics at a local level, Eurostat maintains a system of local administrative units (LAUs) compatible with NUTS. These LAUs are the building blocks of the NUTS, and comprise the municipalities and communes of the European Union. [...]

The LAUs are:

administrative for reasons such as the availability of data and policy implementation capacity a subdivision of the NUTS 3 regions covering the whole economic territory of the Member States appropriate for the implementation of local level typologies included in Tercet, namely the coastal area and DEGURBA classification. Since there are frequent changes to the LAUs, Eurostat publishes an updated list towards the end of each year.

The NUTS regulation makes provision for EU Member States to send the lists of their LAUs to Eurostat. If available, Eurostat receives additionally basic administrative data by means of the annual LAU lists, namely total population and total area for each LAU.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.LCODE73
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
lau 6 - 6 39,913.9 1,272 15,002 33,045 64,095 102,010 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 122 ( 0.0% )
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
lau
100.00%
0.04%
070024 007038

Data Distribution Top 20

Figure 31. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

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

Outliers

Figure 33. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: lau_name

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 lau_name
Description

Name of the local area unit in which the hive scale is located.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

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

n/a
Table 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
lau_name 4 - 33 n/a Roma n/a n/a n/a Primiero San… 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 122 ( 0.0% )
Table 40. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
lau_name
100.00%
0.04%
Fossalto Jovençan

Data Distribution Top 20

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

Data Distribution Bottom 20

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

Completeness

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

Uniqueness

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

Column: lau_latitude

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 lau_latitude
Description

Geographical coordinate, latitude, of the local administrative unit as provided by OpenStreetMap.
Data type Decimal number
Descriptor dwc:decimalLatitude [UID:0.0.LTTDE333]
Descriptor description

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 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
lau_latitude 0 - 0 n/a n/a n/a n/a 325,084 325,084 ( 100.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.0% )
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
lau_latitude
0.00%
0.00%
null null

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: lau_longitude

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

Geographical coordinate, longitude, of the local administrative unit as provided by OpenStreetMap.
Data type Decimal number
Descriptor dwc:decimalLongitude [UID:0.0.LNGTD332]
Descriptor description

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 45. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
lau_longitude 9 - 10 11.55231491 7.0647408 8.9338624 11.5368965 13.5383743 17.3349040 325,084 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 122 ( 0.0% )
Table 46. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
lau_longitude
100.00%
0.04%
14.5457260 7.2763432

Data Distribution Top 20

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

Data Distribution Bottom 20

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

Outliers

Figure 45. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 46. Visualization of completeness of the data in the column.

Uniqueness

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