Dataset: Varroa monitoring Austria

Results from a Varroa monitoring program in various apiaries in Austria
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Published: 2023-12-13
Data

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Columns

6 results
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Description Rows Data Points

hive

[UID:VRRMN16.HIVEA141.0]

The table maps the relationship between beekeepers (anonymised users of the web application which is used by beekeepers to provide Varroa infestation data in their bee yards) and the hives for which t…
2,116
4,232
Metadata Raw CSV JSON

station

[UID:VRRMN16.STTNA142.0]

The table contains geographic information of the NOAA weather stations contained in the dataset. There are 73 unique weather stations in this dataset. These are contained between latitudes of 46.617 a…
73
365
Metadata Raw CSV JSON

user

[UID:VRRMN16.USERA143.0]

The table contains the number of samples (Varroa infestation data of beehives) that were provided by each single user. The total number of samples collected is 11,124. It is important to note that the…
99
198
Metadata Raw CSV JSON

Varroa sampling

[UID:VRRMN16.VRRSM144.0]

This table contains data on Varroa infestation levels (the number of varroa mites found in the sampling event) measured in individual hives on a given apiary at a given time with a given quality stand…
11,124
77,868
Metadata Raw CSV JSON

weather

[UID:VRRMN16.WTHER145.0]

The combined hourly weather data collected from 73 weather stations around Austria for the 8 years, total ~1.3 million rows. Weather data is derived from NOAA. using Integrated Surface Data Lite (ISD-…
1,325,815
14,583,965
Metadata Raw CSV JSON

yard

[UID:VRRMN16.YARDA146.0]

The table contains data on the apiaries (yards) at which the beehives for which the Varroa samples were obtained, were kept at the time of sampling. There are 242 unique yard_id’s. Yards connect to th…
242
968
Metadata Raw CSV JSON

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About

Abstract

An eight-year survey of Varroa destructor infestation rates of western honey bee (Apis mellifera) colonies across Austria and the spatial dimension, temporal dimension and weather factors that impact these infestation rates.

Executive summary

n/a

Introduction

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Material and methods

n/a

References

  1. Rubinigg M., MacDonald M., Davenport V., Hassler E., Hassan A., Shala-Mayrhofer V. et al. 2023 Predicting Varroa: Longitudinal Data, Micro Climate, and Proximity Closeness Useful for Predicting Varroa Infestations (I1.A1). Data & Analytics for Good. [2023-11-4] data-for-good.pubpub.org
Contributors

Data Providers

Featured image of Biene Österreich – Imkereidachverband
Biene Österreich – Imkereidachverband

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).

Other

Featured image of Rubinigg Michael
Rubinigg Michael
Author
Classifications
Analytical Capacities
No particular capacities required

No particular capacities are required to analyse the dataset.

Regulatory Standards
None

No regulatory standard applied.

Technical Standards
None

No technical standard applied.

Issues
There are no known issues in this dataset.
Properties

Unique identifier

[VRRMN16.0.0]

EUPH IRI

https://app.pollinatorhub.eu/dataset-discovery/VRRMN16.0.0

Status

Quality Validated

Peer review

No peer review was requested.

DOI

No DOI available.

Published

2023-12-13

Access rights

Open

Keywords

Austria, Varroa destructor, monitoring

Data collection years

2012-2020

Regions, the data was collected in

Österreich
Use cases
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Citation
Biene Österreich – Imkereidachverband Results from a Varroa monitoring program in various apiaries in Austria. EU Pollinator Hub. [2026-10-14] app.pollinatorhub.eu
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Total views

1398

Total downloads

267