EU Pollinator Hub

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Dataset Report
Unique identifier: HVSCL51.0.0
Title: Hive scales Austria
Long title: A collection of hive scales data from Austria
Status: Quality Validated
Current Version: v. 1.0
Published: 2023-12-17
Reviewed by:
Citation proposal:
Biene Österreich – Imkereidachverband 2023 Report of dataset Hive scales Austria, v. 1.0 [HVSCL51.0.0]. EU Pollinator Hub. [2025-07-11] 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 2023-12-17.

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 2023-12-17 00:12:00 Initial release. n/a

Abbreviations

No abbreviations.

Executive summary

Data overview:

n/a

Data value:

n/a

Data description:

n/a

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

n/a

Unresolved issues:

n/a

Introduction

n/a

Material and methods

Data acquisition

n/a
Table 2. List of raw data and metadata files included in the dataset. Identifier of table row (No); name of the file (File); the type of the file (Type); file contains data (D); file contains metadata (M); date of upload of the file to the EU Pollinator Hub (Arrival); number of data points contained within the file (if applicable); uploaded file size.
No File Type D M Arrival Data points File size
1 euph_000042_scaleat_table_scale_blurred.csv CSV - Comma seperated values Yes No 2023-12-30 13:12:59 3,184,608 27.89 MiB
2 scales_austria.zip Miscellaneous No Yes 2024-02-04 11:02:53 n/a 3.56 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 Hive Scales The table contains data from hive scales from various apiaries in Austria. The geographical coordinates of the hive scales have…
Table 4. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
interactions.single.uid HVSCL51.0.0
Title Hive scales Austria
Long title A collection of hive scales data from Austria
Target IRI https://app.pollinatorhub.eu/dataset-discovery/HVSCL51.0.0
interactions.single.section-details.licence CC BY-SA 4.0
DOI n/a
Created 2023-10-01
Published 2023-12-17
Contact n/a
Keywords Austria, hive scale
Data collection years 2012-2013, 2015-2018
Regions, the data was collected in Österreich
Abstract

The dataset contains data from hive scales (hive weight, temperature, relative humidity, precipitation, wind speed, wind direction) from various apiaries in Austria.
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

Hive Scales

Table 6. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier HVSCL51.HVSCL170.0
Name Hive Scales
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/HVSCL51.HVSCL170.0
Table Type File
Licence CC BY-SA 4.0
Description

The table contains data from hive scales from various apiaries in Austria. The geographical coordinates of the hive scales have been blurred. The interval of measurements range from 15 to 60 min.

The table contains data from hive scales from various apiaries in Austria. The geographical coordinates of the hive scales have been blurred. The interval of measurements range from 15 to 60 min.

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
id

Identifier of the record.

 Integer number pms:recordID [0.0.RCRDD344]

n/a
scale_name

Name of the hive scale.

 String Text [0.0.TEXTA315]

n/a
date

Date and time of measurement.

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

n/a
temperature

Temperature measured by the hive scale or and external device connected to the hive scale.

 String pms:temperature [0.0.TMPRT394]

°C
rh

Relative humidity measured by the hive scale or and external device connected to the hive scale.

 String pms:relativeHumidity [0.0.RLTVH395]

%
prec

Precipitation (liquid) measured by the hive scale or and external device connected to the hive scale.

 Decimal number pms:rainfall [0.0.RNFLL471]

mm
windspeed

Wind speed measured by the hive scale or and external device connected to the hive scale.

 Decimal number pms:windSpeed [0.0.WNDSP474]

m s-1
wgs84_n

Geographical position (latitude) measured by the hive scale or and external device connected to the hive scale.

 Decimal number dwc:decimalLatitude [0.0.LTTDE333]

°
wgs84_e

Geographical position (longitude) measured by the hive scale or and external device connected to the hive scale.

 Decimal number dwc:decimalLongitude [0.0.LNGTD332]

°
lau

Local administrative units (LAU) in which the apiary is located where the hive scale is stationed.

 Integer number eurostat:lauCode [0.0.LCODE73]

n/a
elevation

Elevation above sea level of the apiary.

 Integer number dwc:verbatimElevation [0.0.DWCVR436]

n/a
apiary

Name of the apiary.

 String pms:apiaryName [0.0.PIARY456]

n/a
weight

Hive weight (mass) measured by the hicve scale.

 Decimal number pms:hiveWeight [0.0.HVWGH33]

kg
winddir

Wind direction in degrees relative to the north measured by the hive scale or and external device connected to the hive scale.

 Integer number pms:windDirection [0.0.WNDDR475]

°

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 - 6 113,736.5 1 56,868.25 113,736.5 170,604.75 227,472 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 227,472 ( 100.0% )
scale_name 9 - 9 n/a scale_1.1 n/a n/a n/a scale_3.2 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 6 ( 0.0% )
date 19 - 19 2,014.0 2012-04-02 1… 2,012 2,012 2,016 2018-07-02 0… 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 63,169 ( 27.8% )
temperature 3 - 5 n/a 0.0 n/a n/a n/a -10.0 227,472 0 ( 0.0% ) 622 ( 0.3% ) 0 ( 0.0% ) 544 ( 0.2% )
rh 2 - 4 n/a 20 n/a n/a n/a NULL 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 81 ( 0.0% )
prec 4 - 5 0.050 0.00 0 0 0 64.52 227,472 0 ( 0.0% ) 218,653 ( 96.1% ) 0 ( 0.0% ) 84 ( 0.0% )
windspeed 3 - 4 0.97 0.0 0 0 0.2 91.1 227,472 0 ( 0.0% ) 166,935 ( 73.4% ) 0 ( 0.0% ) 231 ( 0.1% )
wgs84_n 5 - 5 46.958 46.69 46.74 46.96 47.09 47.57 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 16 ( 0.0% )
wgs84_e 5 - 5 15.458 13.92 15.36 15.38 15.7 16.03 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 16 ( 0.0% )
lau 5 - 5 61,019.0 60,101 60,348 60,663 61,255 62,376 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 13 ( 0.0% )
elevation 3 - 3 381.8 203 243 332 473 878 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 18 ( 0.0% )
apiary 6 - 19 n/a Sajach n/a n/a n/a Graz Hochste… 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 18 ( 0.0% )
weight 5 - 6 49.858 20.07 40.31 47.15 55.01 169.16 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4,417 ( 1.9% )
winddir 1 - 3 187.3 0 127 206 245 356 227,472 0 ( 0.0% ) 761 ( 0.3% ) 0 ( 0.0% ) 356 ( 0.2% )

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
scale_name
100.00%
0.00%
scale_2.1 scale_1.2
date
100.00%
27.77%
2012-05-13 02:15:00 2016-04-30 22:00:00
temperature
100.00%
0.24%
NULL 35.3
rh
100.00%
0.04%
NULL 21
prec
100.00%
0.04%
0.00 29.83
windspeed
100.00%
0.10%
0.0 62.7
wgs84_n
100.00%
0.01%
46.96 47.11
wgs84_e
100.00%
0.01%
15.37 15.39
lau
100.00%
0.01%
60101 62039
elevation
100.00%
0.01%
243 391
apiary
100.00%
0.01%
Lichendorf Graz Imkerschule
weight
100.00%
1.94%
36.08 107.74
winddir
100.00%
0.16%
222 2

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: Hive Scales

Column: id

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 id
Description

Identifier of the record.
Data type Integer number
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 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
id 1 - 6 113,736.5 1 56,868.25 113,736.5 170,604.75 227,472 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 227,472 ( 100.0% )
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
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: scale_name

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 scale_name
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 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
scale_name 9 - 9 n/a scale_1.1 n/a n/a n/a scale_3.2 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 6 ( 0.0% )
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
scale_name
100.00%
0.00%
scale_2.1 scale_1.2

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: date

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 date
Description

Date and time of measurement.
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 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
date 19 - 19 2,014.0 2012-04-02 1… 2,012 2,012 2,016 2018-07-02 0… 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 63,169 ( 27.8% )
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
date
100.00%
27.77%
2012-05-13 02:15:00 2016-04-30 22:00:00

Outliers

Figure 8. Visualization of median, min, max, and outliers in the column.
No data available.

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: temperature

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 temperature
Description

Temperature measured by the hive scale or and external device connected to the hive scale.
Data type String
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 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
temperature 3 - 5 n/a 0.0 n/a n/a n/a -10.0 227,472 0 ( 0.0% ) 622 ( 0.3% ) 0 ( 0.0% ) 544 ( 0.2% )
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
temperature
100.00%
0.24%
NULL 35.3

Completeness

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

Uniqueness

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

Column: rh

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 rh
Description

Relative humidity measured by the hive scale or and external device connected to the hive scale.
Data type String
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 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
rh 2 - 4 n/a 20 n/a n/a n/a NULL 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 81 ( 0.0% )
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
rh
100.00%
0.04%
NULL 21

Data Distribution Top 20

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

Data Distribution Bottom 20

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

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: prec

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 prec
Description

Precipitation (liquid) measured by the hive scale or and external device connected to the hive scale.
Data type Decimal number
Descriptor pms:rainfall [UID:0.0.RNFLL471]
Descriptor description

The amount of precipitation of any type (including the liquid equivalent of frozen hydrometeors); usually taken as that amount measured by means of a rain gauge (thus a small, varying amount of direct condensation is included). A more accurate term would be precipitation or precipitation amount. However, the broad use of "rainfall" is firmly established in meteorology, especially in hydrologic and climatological literature. Its best utilization would confine it to liquid precipitation, and so would provide a distinction between precipitation immediately accessible to soil and streams and that delayed in storage as snow or ice on the earth's surface.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.RNFLL471
Unit

mm
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
prec 4 - 5 0.050 0.00 0 0 0 64.52 227,472 0 ( 0.0% ) 218,653 ( 96.1% ) 0 ( 0.0% ) 84 ( 0.0% )
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
prec
100.00%
0.04%
0.00 29.83

Data Distribution Top 20

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

Data Distribution Bottom 20

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

Completeness

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

Uniqueness

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

Column: windspeed

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 windspeed
Description

Wind speed measured by the hive scale or and external device connected to the hive scale.
Data type Decimal number
Descriptor pms:windSpeed [UID:0.0.WNDSP474]
Descriptor description

The rate at which air is moving horizontally past a given point. It may be a 2-minute average speed (reported as wind speed) or an instantaneous speed (reported as a peak wind speed, wind gust, or squall).
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.WNDSP474
Unit

m s-1
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
windspeed 3 - 4 0.97 0.0 0 0 0.2 91.1 227,472 0 ( 0.0% ) 166,935 ( 73.4% ) 0 ( 0.0% ) 231 ( 0.1% )
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
windspeed
100.00%
0.10%
0.0 62.7

Data Distribution Top 20

Figure 21. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

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

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: wgs84_n

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 wgs84_n
Description

Geographical position (latitude) measured by the hive scale or and external device connected to the hive scale.
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 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
wgs84_n 5 - 5 46.958 46.69 46.74 46.96 47.09 47.57 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 16 ( 0.0% )
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
wgs84_n
100.00%
0.01%
46.96 47.11

Data Distribution Top 20

Figure 25. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 26. Distribution of values in the column.

Outliers

Figure 27. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: wgs84_e

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 wgs84_e
Description

Geographical position (longitude) measured by the hive scale or and external device connected to the hive scale.
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 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
wgs84_e 5 - 5 15.458 13.92 15.36 15.38 15.7 16.03 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 16 ( 0.0% )
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
wgs84_e
100.00%
0.01%
15.37 15.39

Data Distribution Top 20

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

Continuous Data Distribution

Figure 31. Distribution of values in the column.

Outliers

Figure 32. Visualization of median, min, max, and outliers in the column.

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: lau

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 lau
Description

Local administrative units (LAU) in which the apiary is located where the hive scale is stationed.
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 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
lau 5 - 5 61,019.0 60,101 60,348 60,663 61,255 62,376 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 13 ( 0.0% )
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
lau
100.00%
0.01%
60101 62039

Data Distribution Top 20

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

Continuous Data Distribution

Figure 36. Distribution of values in the column.

Outliers

Figure 37. Visualization of median, min, max, and outliers in the column.

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: elevation

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).
Parameter Content
Column name elevation
Description

Elevation above sea level of the apiary.
Data type Integer number
Descriptor dwc:verbatimElevation [UID:0.0.DWCVR436]
Descriptor description

A term from the Darwin Core standard:

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 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).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
elevation 3 - 3 381.8 203 243 332 473 878 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 18 ( 0.0% )
Table 42. 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%
0.01%
243 391

Data Distribution Top 20

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

Continuous Data Distribution

Figure 41. Distribution of values in the column.

Outliers

Figure 42. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

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

Column: apiary

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).
Parameter Content
Column name apiary
Description

Name of the apiary.
Data type String
Descriptor pms:apiaryName [UID:0.0.PIARY456]
Descriptor description

Unique name associated with an apiary, which is specific to a dataset or to a beekeeper.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.PIARY456
Unit

n/a
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).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
apiary 6 - 19 n/a Sajach n/a n/a n/a Graz Hochste… 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 18 ( 0.0% )
Table 45. 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
apiary
100.00%
0.01%
Lichendorf Graz Imkerschule

Data Distribution Top 20

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

Completeness

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

Uniqueness

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

Column: weight

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).
Parameter Content
Column name weight
Description

Hive weight (mass) measured by the hicve scale.
Data type Decimal number
Descriptor pms:hiveWeight [UID:0.0.HVWGH33]
Descriptor description

A measurement made by a weight sensor under a hive.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HVWGH33
Unit

kg
Table 47. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
weight 5 - 6 49.858 20.07 40.31 47.15 55.01 169.16 227,472 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4,417 ( 1.9% )
Table 48. 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
weight
100.00%
1.94%
36.08 107.74

Continuous Data Distribution

Figure 48. Distribution of values in the column.

Outliers

Figure 49. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 50. Visualization of completeness of the data in the column.

Uniqueness

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

Column: winddir

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).
Parameter Content
Column name winddir
Description

Wind direction in degrees relative to the north measured by the hive scale or and external device connected to the hive scale.
Data type Integer number
Descriptor pms:windDirection [UID:0.0.WNDDR475]
Descriptor description

The true direction from which the wind is blowing at a given location (i.e., wind blowing from the north to the south is a north wind). It is normally measured in tens of degrees from 10 degrees clockwise through 360 degrees. North is 360 degrees. A wind direction of 0 degrees is only used when wind is calm.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.WNDDR475
Unit

°
Table 50. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
winddir 1 - 3 187.3 0 127 206 245 356 227,472 0 ( 0.0% ) 761 ( 0.3% ) 0 ( 0.0% ) 356 ( 0.2% )
Table 51. 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
winddir
100.00%
0.16%
222 2

Data Distribution Top 20

Figure 52. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

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

Outliers

Figure 54. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 55. Visualization of completeness of the data in the column.

Uniqueness

Figure 56. Visualization of uniqueness of the data in the column.