EU Pollinator Hub

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Dataset Report
Unique identifier: CLNYD84.0.0
Title: Colony development autumn
Long title: Brood nest measurements in hives kept in various apiaries in the surroundings of Graz/in Austria during autumn 2013
Status: Quality Validated
Current Version: v. 1.0
Published: 2023-12-16
Reviewed by:
Citation proposal:
Styrian Beekeepers Association (Steirischer Landesverband für Bienenzucht) 2023 Report of dataset Colony development autumn, v. 1.0 [CLNYD84.0.0]. EU Pollinator Hub. [2025-07-13] 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 2023-12-16.

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 2023-12-16 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 ColAutDev_brood_PREP_MR_231228.csv CSV - Comma seperated values Yes No 2023-12-28 14:12:37 16,800 67.77 KiB
2 ColAutDev_apiary_PREP_MR_231228.csv CSV - Comma seperated values Yes No 2023-12-28 14:12:59 16 149.00 B
3 ColAutDev_hive_PREP_MR_231228.csv CSV - Comma seperated values Yes No 2023-12-28 14:12:01 84 665.00 B
4 ColAutDev_method_PREP_MR_231228.csv CSV - Comma seperated values Yes No 2023-12-28 14:12:09 20 237.00 B

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 brood The table contains the results from the assessment of brood areas in honey bee colonies.
2 apiary The table contains information on the location of the apiaries in which the assessments were made.
3 hive The table contains information on the queens (pedigree number) and breeders (numbers that are not related to the identity of…
4 method The table contains the methods used to calculate the brood area on a frame side using the measured length and…
Table 4. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
interactions.single.uid CLNYD84.0.0
Title Colony development autumn
Long title Brood nest measurements in hives kept in various apiaries in the surroundings of Graz/in Austria during autumn 2013
Target IRI https://app.pollinatorhub.eu/dataset-discovery/CLNYD84.0.0
interactions.single.section-details.licence CC BY-SA 4.0
DOI n/a
Created 2023-12-28
Published 2023-12-16
Contact m.rubinigg@visualife.at
Keywords Apis mellifera carnica, Austria, autumn, colony development
Data collection years 2013
Regions, the data was collected in Steiermark
Abstract

The aim of this pilot-study was to assess differences in egg-laying activity of queens during the presumed transition of colonies to the winter brood pause and to determine whether there are location-related differences or differences with regard to the origin of the queens. For this purpose, the amount of brood was determined in 21 bee colonies with 21 queens obtained from 8 different breeders working in 2 different Carnica breeding programs at four different apiaries from 23 August 2013 to 25 October 2013 at intervals of approximately 21 days (depending on the weather conditions).
Table 5. Standardised metadata of the data provider Styrian Beekeepers Association (Steirischer Landesverband für Bienenzucht). Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Name Styrian Beekeepers Association (Steirischer Landesverband für Bienenzucht)
Url
Acronym StLVB
Contact n/a
Description

The Styrian Beekeepers Association (Steirischer Landesverband für Bienenzucht) is the biggest beekeeping association in the region of Styria.

Tables

brood

Table 6. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier CLNYD84.BROOD166.0
Name brood
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/CLNYD84.BROOD166.0
Table Type File
Licence CC BY-SA 4.0
Description

The table contains the results from the assessment of brood areas in honey bee colonies.

The table contains the results from the assessment of brood areas in honey bee colonies.

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 Integer [0.0.NTGER313]

n/a
assessment

Identifier at which the data collection at the individual locations should be compared, even if this did not take place at the same time.

 Integer number Integer [0.0.NTGER313]

n/a
date

Date at which colonies were assessed.

 Date iso-8601:calendarDate [0.0.DATEA317]

n/a
operator

Unique sequence of letters identifying the person who carried out the assessments on the colonies.

 String Text [0.0.TEXTA315]

n/a
apiary

Unique identifier of the apiary.

 String Text [0.0.TEXTA315]

n/a
hive

Unique identifier of the hive.

 String Text [0.0.TEXTA315]

n/a
box

Consecutive number of the boxes of a hive, starting with the bottom box, on which the assessemnts were carried out.

 Boolean Boolean [0.0.BLEAN316]

n/a
frame

Consecutive number of frames in a hive box, starting either with the leftmost or with the rightmost frame, on which the assessemnts were carried out.

 Integer number Integer [0.0.NTGER313]

n/a
bees_A

Estimated number of bees on one of the two sides of a frame.

 Undefined []

no.
bees_B

Estimated number of bees on the other of the two sides of a frame.

 Undefined []

n/a
brood_A_x

Maximum horizontal extension of the brood nest in cm on one of the two sides of a frame.

 String Text [0.0.TEXTA315]

cm
brood_A_y

Maximum vertical extension of the brood nest in cm on one of the two sides of a frame.

 String Text [0.0.TEXTA315]

cm
brood_A_shape

Shape of the brood nest on one of the two sides of a frame (rectangle: 0; ellipse: 1), based on which the formula for a rectangle (area=brood_A_x x brood_A_y) or an ellipse (area=pi x (brood_A_x/2) x (brood_A_y/2) ) is used to calculate the area of the brood nest.

 Integer number Integer [0.0.NTGER313]

n/a
brood_B_x

Maximum horizontal extension of the brood nest in cm on the other of the two sides of a frame.

 String Text [0.0.TEXTA315]

cm
brood_B_y

Maximum vertical extension of the brood nest in cm on the other of the two sides of a frame.

 String Text [0.0.TEXTA315]

cm
brood_B_shape

Shape of the brood nest on the other of the two sides of a frame (rectangle: 0; elipse: 1), based on which the formula for a rectangle (area=brood_B_x x brood_B_y) or an ellipse (area=pi x (brood_B_x/2) x (brood_B_y/2) ) is used to calculate the area of the brood nest.

 Integer number Integer [0.0.NTGER313]

n/a
bees_extra

Estimated number of bees on any other part of the hive box.

 Undefined []

no.
bees_n

Total number of bees estimated on the entire frame, including bees on any other part of the hive box.

 Undefined []

no.
brood_cm2

Total area of brood cells estimated on the entire frame in cm2.

 String Text [0.0.TEXTA315]

cm2
brood_n

Total number of brood cells estimated on the entire frame, assuming that there are 4 brood cells in one cm2.

 Integer number Integer [0.0.NTGER313]

no.

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 - 3 420.5 1 210.25 420.5 630.75 840 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 840 ( 100.0% )
assessment 1 - 1 2.5 1 1.25 2.5 3.75 4 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 0.5% )
date 10 - 10 n/a 2013-08-23 n/a n/a n/a 2013-10-25 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 0.5% )
operator 2 - 2 n/a MR n/a n/a n/a MR 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
apiary 2 - 2 n/a HO n/a n/a n/a WW 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 0.5% )
hive 4 - 6 n/a HO-45 n/a n/a n/a WW-85 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 21 ( 2.5% )
box 1 - 1 n/a 1 n/a n/a n/a 1 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
frame 1 - 2 5.5 1 3 5.5 8 10 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 10 ( 1.2% )
bees_A 0 - 0 n/a n/a n/a n/a 840 840 ( 100.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
bees_B 0 - 0 n/a n/a n/a n/a 840 840 ( 100.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
brood_A_x 3 - 4 n/a 0,0 n/a n/a n/a 9,5 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 54 ( 6.4% )
brood_A_y 3 - 4 n/a 0,0 n/a n/a n/a 9,5 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 32 ( 3.8% )
brood_A_shape 1 - 1 0.3 0 0 0 1 1 840 0 ( 0.0% ) 586 ( 69.8% ) 0 ( 0.0% ) 2 ( 0.2% )
brood_B_x 3 - 5 n/a 0,0 n/a n/a n/a 9,0 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 52 ( 6.2% )
brood_B_y 3 - 4 n/a 0,0 n/a n/a n/a 9,5 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 33 ( 3.9% )
brood_B_shape 1 - 1 0.3 0 0 0 1 1 840 0 ( 0.0% ) 619 ( 73.7% ) 0 ( 0.0% ) 2 ( 0.2% )
bees_extra 0 - 0 n/a n/a n/a n/a 840 840 ( 100.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
bees_n 0 - 0 n/a n/a n/a n/a 840 840 ( 100.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
brood_cm2 3 - 6 n/a 0,0 n/a n/a n/a 99,7 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 233 ( 27.7% )
brood_n 1 - 4 450.9 0 0 0 536.25 7,245 840 0 ( 0.0% ) 585 ( 69.6% ) 0 ( 0.0% ) 229 ( 27.3% )

Quality measures

Table 9. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
id
100.00%
100.00%
1 1
assessment
100.00%
0.48%
1 1
date
100.00%
0.48%
2013-08-23 2013-08-23
operator
100.00%
0.12%
MR MR
apiary
100.00%
0.48%
WW NI
hive
100.00%
2.50%
HO-68 HO-68
box
100.00%
0.12%
1 1
frame
100.00%
1.19%
1 1
bees_A
0.00%
0.12%
n/a n/a
bees_B
0.00%
0.12%
n/a n/a
brood_A_x
100.00%
6.43%
0,0 16,5
brood_A_y
100.00%
3.81%
0,0 19,0
brood_A_shape
100.00%
0.24%
0 1
brood_B_x
100.00%
6.19%
0,0 31,5
brood_B_y
100.00%
3.93%
0,0 25,5
brood_B_shape
100.00%
0.24%
0 1
bees_extra
0.00%
0.12%
n/a n/a
bees_n
0.00%
0.12%
n/a n/a
brood_cm2
100.00%
27.74%
0,0 797,8
brood_n
100.00%
27.26%
0 3191

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

apiary

Table 10. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier CLNYD84.PIARY167.0
Name apiary
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/CLNYD84.PIARY167.0
Table Type File
Licence CC BY-SA 4.0
Description

The table contains information on the location of the apiaries in which the assessments were made.

The table contains information on the location of the apiaries in which the assessments were made.

Metadata

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 Column Description Datatype Descriptor Unit
apiary

Unique identifier of the apiary.

 String pms:apiaryID [0.0.PRYID342]

n/a
elevation

Height above sea level at which the apiary is located.

 Decimal number pms:heightAboveMeanSeaLevel [0.0.HGHTB393]

m
wgs84_e

Longitude of the geographical coordinates at which the apiary is located.

 Decimal number dwc:decimalLongitude [0.0.LNGTD332]

°
wgs84_n

Latitude of the geographical coordinates at which the apiary is located.

 Decimal number dwc:decimalLatitude [0.0.LTTDE333]

°

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 12. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
apiary 2 - 2 n/a HO n/a n/a n/a WW 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 100.0% )
elevation 3 - 3 458.0 361 375.5 471 527.5 529 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 100.0% )
wgs84_e 9 - 9 n/a 15,349342 n/a n/a n/a 15,437596 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 100.0% )
wgs84_n 9 - 9 n/a 47,091121 n/a n/a n/a 47,149355 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 100.0% )

Quality measures

Table 13. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
apiary
100.00%
100.00%
HO HO
elevation
100.00%
100.00%
419 419
wgs84_e
100.00%
100.00%
15,437596 15,437596
wgs84_n
100.00%
100.00%
47,094601 47,094601

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

hive

Table 14. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier CLNYD84.HIVEA168.0
Name hive
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/CLNYD84.HIVEA168.0
Table Type File
Licence CC BY-SA 4.0
Description

The table contains information on the queens (pedigree number) and breeders (numbers that are not related to the identity of the breeders) in the assessed colonies.

The table contains information on the queens (pedigree number) and breeders (numbers that are not related to the identity of the breeders) in the assessed colonies.

Metadata

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 Column Description Datatype Descriptor Unit
hive

Unique identifier of the hive.

 String Text [0.0.TEXTA315]

n/a
queen

Pedigree number of the queen im the colony.

 String Text [0.0.TEXTA315]

n/a
queen_birth_year

Birth year of the queen in the colony.

 Integer number Integer [0.0.NTGER313]

n/a
breeder

Unique identifier of the breeding operation in which the queen has been reared.

 Integer number Integer [0.0.NTGER313]

n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 16. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
hive 4 - 6 n/a HO-45 n/a n/a n/a WW-85 21 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 21 ( 100.0% )
queen 7 - 18 n/a 342862912 n/a n/a n/a unknown 21 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 20 ( 95.2% )
queen_birth_year 4 - 4 2,012.3 2,012 2,012 2,012 2,013 2,013 21 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 9.5% )
breeder 1 - 1 2.9 1 1 1.5 4.75 8 21 1 ( 4.8% ) 0 ( 0.0% ) 0 ( 0.0% ) 9 ( 42.9% )

Quality measures

Table 17. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
hive
100.00%
100.00%
HO-68 HO-68
queen
100.00%
95.24%
AT-99-147-73-2012 AT-99-147-470-2012
queen_birth_year
100.00%
9.52%
2012 2013
breeder
95.24%
42.86%
1 7

Changes made to preparatory file

n/a

Changes made to data

n/a

Unresolved issues

n/a

method

Table 18. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier CLNYD84.MTHOD169.0
Name method
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/CLNYD84.MTHOD169.0
Table Type File
Licence CC BY-SA 4.0
Description

The table contains the methods used to calculate the brood area on a frame side using the measured length and width of the brood nest at the points where it is most extended. Based on the shape of the brood nest the person who made the assessment decided whether to use the formula for a rectangle (brood_shape=0) or an ellipse (brood_shape=1).

The table contains the methods used to calculate the brood area on a frame side using the measured length and width of the brood nest at the points where it is most extended. Based on the shape of the brood nest the person who made the assessment decided whether to use the formula for a rectangle (brood_shape=0) or an ellipse (brood_shape=1).

Metadata

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

Unique identifier used in the columns brood_A_shape and brood_B_shape to denote the shape of the brood nest on one side of a frame (rectangle: 0; elipse: 1), based on which the formula contained in column formula is used to calculate the area of the brood nest.

 Integer number Integer [0.0.NTGER313]

n/a
shape

Shape of the brood nest on one side of a frame.

 String Text [0.0.TEXTA315]

n/a
variable

Variable used to express the size of the brood nest, as calculated by the formula contained in column formula.

 String Text [0.0.TEXTA315]

n/a
formula

Formula used to calculate the the size of the brood nest.

 String Text [0.0.TEXTA315]

n/a
unit

Unit in which the size of the brood nest is expressed, depending on the formula used to calculate the the size of the brood nest.

 String Text [0.0.TEXTA315]

n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 20. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
brood_shape 1 - 1 0.5 0 0 0.5 1 1 4 0 ( 0.0% ) 2 ( 50.0% ) 0 ( 0.0% ) 2 ( 50.0% )
shape 7 - 9 n/a ellipse n/a n/a n/a rectangle 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 50.0% )
variable 10 - 11 n/a brood area n/a n/a n/a brood cells 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 50.0% )
formula 14 - 32 n/a area=length… n/a n/a n/a brood=area x… 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 3 ( 75.0% )
unit 3 - 3 n/a cm2 n/a n/a n/a no. 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 50.0% )

Quality measures

Table 21. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
brood_shape
100.00%
50.00%
0 0
shape
100.00%
50.00%
rectangle rectangle
variable
100.00%
50.00%
brood area brood area
formula
100.00%
75.00%
brood=area x 4 area=pi x (length/2) x (width/2)
unit
100.00%
50.00%
cm2 cm2

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: brood

Column: id

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 id
Description

Identifier of the record.
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 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
id 1 - 3 420.5 1 210.25 420.5 630.75 840 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 840 ( 100.0% )
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
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: assessment

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 assessment
Description

Identifier at which the data collection at the individual locations should be compared, even if this did not take place at the same time.
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 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
assessment 1 - 1 2.5 1 1.25 2.5 3.75 4 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 0.5% )
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
assessment
100.00%
0.48%
1 1

Data Distribution Top 20

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

Continuous Data Distribution

Figure 6. Distribution of values in the column.

Outliers

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

Completeness

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

Uniqueness

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

Column: date

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 date
Description

Date at which colonies were assessed.
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 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
date 10 - 10 n/a 2013-08-23 n/a n/a n/a 2013-10-25 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 0.5% )
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
date
100.00%
0.48%
2013-08-23 2013-08-23

Data Distribution Top 20

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

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: operator

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 operator
Description

Unique sequence of letters identifying the person who carried out the assessments on the colonies.
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
operator 2 - 2 n/a MR n/a n/a n/a MR 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
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
operator
100.00%
0.12%
MR MR

Data Distribution Top 20

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

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: apiary

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 apiary
Description

Unique identifier of the apiary.
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 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
apiary 2 - 2 n/a HO n/a n/a n/a WW 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 0.5% )
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
apiary
100.00%
0.48%
WW NI

Data Distribution Top 20

Figure 16. Distribution of 20 most common values, from highest to lowest.

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: hive

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 hive
Description

Unique identifier of the hive.
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
hive 4 - 6 n/a HO-45 n/a n/a n/a WW-85 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 21 ( 2.5% )
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
hive
100.00%
2.50%
HO-68 HO-68

Data Distribution Top 20

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

Data Distribution Bottom 20

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

Completeness

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

Uniqueness

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

Column: box

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 box
Description

Consecutive number of the boxes of a hive, starting with the bottom box, on which the assessemnts were carried out.
Data type Boolean
Descriptor Boolean [UID:0.0.BLEAN316]
Descriptor description

A basic type representing boolean. Supports a simple true or false value.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.BLEAN316
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
box 1 - 1 n/a 1 n/a n/a n/a 1 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
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
box
100.00%
0.12%
1 1

Data Distribution Top 20

Figure 23. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: frame

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 frame
Description

Consecutive number of frames in a hive box, starting either with the leftmost or with the rightmost frame, on which the assessemnts were carried out.
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 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
frame 1 - 2 5.5 1 3 5.5 8 10 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 10 ( 1.2% )
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
frame
100.00%
1.19%
1 1

Data Distribution Top 20

Figure 26. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 27. Distribution of values in the column.

Outliers

Figure 28. Visualization of median, min, max, and outliers 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: bees_A

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

Estimated number of bees on one of the two sides of a frame.
Data type Unknown
Descriptor
Unit

no.
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
bees_A 0 - 0 n/a n/a n/a n/a 840 840 ( 100.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
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
bees_A
0.00%
0.12%
n/a n/a

Data Distribution Top 20

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

Completeness

Figure 32. Visualization of completeness of the data in the column.

Uniqueness

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

Column: bees_B

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 bees_B
Description

Estimated number of bees on the other of the two sides of a frame.
Data type Unknown
Descriptor
Unit

n/a
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
bees_B 0 - 0 n/a n/a n/a n/a 840 840 ( 100.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
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
bees_B
0.00%
0.12%
n/a n/a

Data Distribution Top 20

Figure 34. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

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

Column: brood_A_x

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

Maximum horizontal extension of the brood nest in cm on one of the two sides of a frame.
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

cm
Table 53. 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
brood_A_x 3 - 4 n/a 0,0 n/a n/a n/a 9,5 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 54 ( 6.4% )
Table 54. 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
brood_A_x
100.00%
6.43%
0,0 16,5

Completeness

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

Uniqueness

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

Column: brood_A_y

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

Maximum vertical extension of the brood nest in cm on one of the two sides of a frame.
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

cm
Table 56. 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
brood_A_y 3 - 4 n/a 0,0 n/a n/a n/a 9,5 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 32 ( 3.8% )
Table 57. 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
brood_A_y
100.00%
3.81%
0,0 19,0

Completeness

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

Uniqueness

Figure 40. Visualization of uniqueness of the data in the column.

Column: brood_A_shape

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

Shape of the brood nest on one of the two sides of a frame (rectangle: 0; ellipse: 1), based on which the formula for a rectangle (area=brood_A_x x brood_A_y) or an ellipse (area=pi x (brood_A_x/2) x (brood_A_y/2) ) is used to calculate the area of the brood nest.
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 59. 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
brood_A_shape 1 - 1 0.3 0 0 0 1 1 840 0 ( 0.0% ) 586 ( 69.8% ) 0 ( 0.0% ) 2 ( 0.2% )
Table 60. 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
brood_A_shape
100.00%
0.24%
0 1

Data Distribution Top 20

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

Continuous Data Distribution

Figure 42. Distribution of values 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: brood_B_x

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

Maximum horizontal extension of the brood nest in cm on the other of the two sides of a frame.
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

cm
Table 62. 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
brood_B_x 3 - 5 n/a 0,0 n/a n/a n/a 9,0 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 52 ( 6.2% )
Table 63. 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
brood_B_x
100.00%
6.19%
0,0 31,5

Completeness

Figure 45. Visualization of completeness of the data in the column.

Uniqueness

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

Column: brood_B_y

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

Maximum vertical extension of the brood nest in cm on the other of the two sides of a frame.
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

cm
Table 65. 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
brood_B_y 3 - 4 n/a 0,0 n/a n/a n/a 9,5 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 33 ( 3.9% )
Table 66. 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
brood_B_y
100.00%
3.93%
0,0 25,5

Completeness

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

Uniqueness

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

Column: brood_B_shape

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

Shape of the brood nest on the other of the two sides of a frame (rectangle: 0; elipse: 1), based on which the formula for a rectangle (area=brood_B_x x brood_B_y) or an ellipse (area=pi x (brood_B_x/2) x (brood_B_y/2) ) is used to calculate the area of the brood nest.
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 68. 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
brood_B_shape 1 - 1 0.3 0 0 0 1 1 840 0 ( 0.0% ) 619 ( 73.7% ) 0 ( 0.0% ) 2 ( 0.2% )
Table 69. 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
brood_B_shape
100.00%
0.24%
0 1

Data Distribution Top 20

Figure 49. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 50. Distribution of values in the column.

Completeness

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

Uniqueness

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

Column: bees_extra

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

Estimated number of bees on any other part of the hive box.
Data type Unknown
Descriptor
Unit

no.
Table 71. 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
bees_extra 0 - 0 n/a n/a n/a n/a 840 840 ( 100.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
Table 72. 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
bees_extra
0.00%
0.12%
n/a n/a

Data Distribution Top 20

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

Completeness

Figure 54. Visualization of completeness of the data in the column.

Uniqueness

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

Column: bees_n

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

Total number of bees estimated on the entire frame, including bees on any other part of the hive box.
Data type Unknown
Descriptor
Unit

no.
Table 74. 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
bees_n 0 - 0 n/a n/a n/a n/a 840 840 ( 100.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 1 ( 0.1% )
Table 75. 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
bees_n
0.00%
0.12%
n/a n/a

Data Distribution Top 20

Figure 56. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 57. Visualization of completeness of the data in the column.

Uniqueness

Figure 58. Visualization of uniqueness of the data in the column.

Column: brood_cm2

Table 76. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name brood_cm2
Description

Total area of brood cells estimated on the entire frame in cm2.
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

cm2
Table 77. 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
brood_cm2 3 - 6 n/a 0,0 n/a n/a n/a 99,7 840 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 233 ( 27.7% )
Table 78. 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
brood_cm2
100.00%
27.74%
0,0 797,8

Completeness

Figure 59. Visualization of completeness of the data in the column.

Uniqueness

Figure 60. Visualization of uniqueness of the data in the column.

Column: brood_n

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

Total number of brood cells estimated on the entire frame, assuming that there are 4 brood cells in one cm2.
Data type Integer number
Descriptor Integer [UID:0.0.NTGER313]
Descriptor description

A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit

no.
Table 80. 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
brood_n 1 - 4 450.9 0 0 0 536.25 7,245 840 0 ( 0.0% ) 585 ( 69.6% ) 0 ( 0.0% ) 229 ( 27.3% )
Table 81. 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
brood_n
100.00%
27.26%
0 3191

Continuous Data Distribution

Figure 61. Distribution of values in the column.

Completeness

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

Uniqueness

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

Table: apiary

Column: apiary

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

Unique identifier of the apiary.
Data type String
Descriptor pms:apiaryID [UID:0.0.PRYID342]
Descriptor description

Unique sequence of characters 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.PRYID342
Unit

n/a
Table 83. 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 2 - 2 n/a HO n/a n/a n/a WW 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 100.0% )
Table 84. 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%
100.00%
HO HO

Completeness

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

Uniqueness

Figure 65. Visualization of uniqueness of the data in the column.

Column: elevation

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

Height above sea level at which the apiary is located.
Data type Decimal number
Descriptor pms:heightAboveMeanSeaLevel [UID:0.0.HGHTB393]
Descriptor description

Height above mean sea level is a measure of the vertical distance (height, elevation or altitude) of a location in reference to a historic mean sea level taken as a vertical datum. In geodesy, it is formalized as orthometric heights.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.HGHTB393
Unit

m
Table 86. 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 - 3 458.0 361 375.5 471 527.5 529 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 100.0% )
Table 87. 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%
100.00%
419 419

Continuous Data Distribution

Figure 66. Distribution of values in the column.

Outliers

Figure 67. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 68. Visualization of completeness of the data in the column.

Uniqueness

Figure 69. Visualization of uniqueness of the data in the column.

Column: wgs84_e

Table 88. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name wgs84_e
Description

Longitude of the geographical coordinates at which the apiary is located.
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 89. 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 9 - 9 n/a 15,349342 n/a n/a n/a 15,437596 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 100.0% )
Table 90. 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%
100.00%
15,437596 15,437596

Completeness

Figure 70. Visualization of completeness of the data in the column.

Uniqueness

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

Column: wgs84_n

Table 91. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name wgs84_n
Description

Latitude of the geographical coordinates at which the apiary is located.
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 92. 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 9 - 9 n/a 47,091121 n/a n/a n/a 47,149355 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 4 ( 100.0% )
Table 93. 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%
100.00%
47,094601 47,094601

Completeness

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

Uniqueness

Figure 73. Visualization of uniqueness of the data in the column.

Table: hive

Column: hive

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

Unique identifier of the hive.
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 95. 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 4 - 6 n/a HO-45 n/a n/a n/a WW-85 21 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 21 ( 100.0% )
Table 96. 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
100.00%
100.00%
HO-68 HO-68

Completeness

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

Uniqueness

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

Column: queen

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

Pedigree number of the queen im the colony.
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 98. 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
queen 7 - 18 n/a 342862912 n/a n/a n/a unknown 21 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 20 ( 95.2% )
Table 99. 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
queen
100.00%
95.24%
AT-99-147-73-2012 AT-99-147-470-2012

Completeness

Figure 76. Visualization of completeness of the data in the column.

Uniqueness

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

Column: queen_birth_year

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

Birth year of the queen in the colony.
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 101. 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
queen_birth_year 4 - 4 2,012.3 2,012 2,012 2,012 2,013 2,013 21 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 9.5% )
Table 102. 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
queen_birth_year
100.00%
9.52%
2012 2013

Data Distribution Top 20

Figure 78. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 79. Distribution of values in the column.

Outliers

Figure 80. Visualization of median, min, max, and outliers in the column.

Completeness

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

Uniqueness

Figure 82. Visualization of uniqueness of the data in the column.

Column: breeder

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

Unique identifier of the breeding operation in which the queen has been reared.
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 104. 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
breeder 1 - 1 2.9 1 1 1.5 4.75 8 21 1 ( 4.8% ) 0 ( 0.0% ) 0 ( 0.0% ) 9 ( 42.9% )
Table 105. 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
breeder
95.24%
42.86%
1 7

Continuous Data Distribution

Figure 83. Distribution of values in the column.

Outliers

Figure 84. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 85. Visualization of completeness of the data in the column.

Uniqueness

Figure 86. Visualization of uniqueness of the data in the column.

Table: method

Column: brood_shape

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

Unique identifier used in the columns brood_A_shape and brood_B_shape to denote the shape of the brood nest on one side of a frame (rectangle: 0; elipse: 1), based on which the formula contained in column formula is used to calculate the area of the brood nest.
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 107. 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
brood_shape 1 - 1 0.5 0 0 0.5 1 1 4 0 ( 0.0% ) 2 ( 50.0% ) 0 ( 0.0% ) 2 ( 50.0% )
Table 108. 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
brood_shape
100.00%
50.00%
0 0

Data Distribution Top 20

Figure 87. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 88. Distribution of values in the column.

Outliers

Figure 89. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 90. Visualization of completeness of the data in the column.

Uniqueness

Figure 91. Visualization of uniqueness of the data in the column.

Column: shape

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

Shape of the brood nest on one side of a frame.
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 110. 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
shape 7 - 9 n/a ellipse n/a n/a n/a rectangle 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 50.0% )
Table 111. 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
shape
100.00%
50.00%
rectangle rectangle

Data Distribution Top 20

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

Completeness

Figure 93. Visualization of completeness of the data in the column.

Uniqueness

Figure 94. Visualization of uniqueness of the data in the column.

Column: variable

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

Variable used to express the size of the brood nest, as calculated by the formula contained in column formula.
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 113. 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
variable 10 - 11 n/a brood area n/a n/a n/a brood cells 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 50.0% )
Table 114. 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
variable
100.00%
50.00%
brood area brood area

Data Distribution Top 20

Figure 95. Distribution of 20 most common values, from highest to lowest.

Completeness

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

Uniqueness

Figure 97. Visualization of uniqueness of the data in the column.

Column: formula

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

Formula used to calculate the the size of the brood nest.
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 116. 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
formula 14 - 32 n/a area=length… n/a n/a n/a brood=area x… 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 3 ( 75.0% )
Table 117. 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
formula
100.00%
75.00%
brood=area x 4 area=pi x (length/2) x (width/2)

Completeness

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

Uniqueness

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

Column: unit

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

Unit in which the size of the brood nest is expressed, depending on the formula used to calculate the the size of the brood nest.
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 119. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
unit 3 - 3 n/a cm2 n/a n/a n/a no. 4 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 50.0% )
Table 120. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
unit
100.00%
50.00%
cm2 cm2

Data Distribution Top 20

Figure 100. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 101. Visualization of completeness of the data in the column.

Uniqueness

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