STR genotypes of 195 black grouse individuals
Data files
Dec 15, 2022 version files 15.26 KB
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blackgrouse_9STR_10pops.txt
10.71 KB
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README.txt
4.54 KB
Dec 15, 2022 version files 15.49 KB
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blackgrouse_9STR_10pops.txt
10.71 KB
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README.md
4.78 KB
Abstract
The data file contains the individual genotypes of 195 black grouse (Lyrurus tetrix) individuals, genotyped at 9 STR (microsatellite) loci.
The data is curated into 10 subpopulations as decribed in the accompanied publication.
The data is uploaded in the commonly used genepop file format.
Dataset DOI: 10.5061/dryad.3ffbg79k3
This is the STR dataset to the publication: https://doi.org/10.1002/ece3.8460
This README.txt file was generated on 25.11.2021 by Florian Kunz
It accompanies the file "blackgrouse_STR_10pops.gen", which contains STR genotypes from 195 black grouse (Lyrurus tetrix) individuals in genepop 2 digit format
GENERAL INFORMATION
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1. Title of Dataset: blackgrouse_9STR_10pops.txt
2. Author Information:
Name: Florian Kunz
Institution: University of Natural Resources and Life Sciences, Vienna
Address: Institute of Wildlife Biology and Game Management, Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences, Vienna; Gregor-Mendel-Straße 33, 1180 Vienna, Austria
Email: florian.kunz@boku.ac.at
Co-authors of the associated publication:Peter Klinga, Marcia Sittenthaler, Martin Schebeck, Christian Stauffer, Veronika Grünschachner-Berger, Klaus Hackländer, Ursula Nopp-Mayr
3. Date of data collection (single date, range, approximate date): years 2013, 2015, 2016
4. Geographic location of data collection: Styria, Austria
5. Information about funding sources that supported the collection of the data: The study was firstly initiated by D. I. Klaus Tiefnig (government of Styria, Dept for Agriculture and Forestry). It was partially financed by the government of Styria, Dept of Energy, Residential Building and Technic, the Dept for Agriculture and Forestry and the Styrian hunting association.
SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data: not applicable
2. Links to publications that cite or use the data:
Sittenthaler M, Kunz F, Szymusik A, Grünschachner-Berger V, Krumböck S, Stauffer C, Nopp-Mayr U (2018) Fine-scale genetic structure in an eastern Alpine black grouse Tetrao tetrix metapopulation. J Avian Biol 49:e01681. https://doi.org/10.1111/jav.01681. https://onlinelibrary.wiley.com/doi/full/10.1111/jav.01681
Kunz F, Klinga P, Sittenthaler M, Schebeck M, Stauffer C, Grünschachner-Berger V, Hackländer K, Nopp-Mayr U (2021/22) Assessment of drivers of spatial genetic variation of a ground-dwelling bird species and its implications for conservation. Ecology and Evolution
3. Links to other publicly accessible locations of the data: not applicable
4. Links/relationships to ancillary data sets: not applicable
5. Was data derived from another source? no
6. Recommended citation for this dataset: depending on the citation, one of the two publications mentioned above
DATA & FILE OVERVIEW
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1. File List:
blackgrouse_9STR_10pops.txt
2. Are there multiple versions of the dataset? no
METHODOLOGICAL INFORMATION
===================
1. Description of methods used for collection/generation of data:
Sittenthaler M, Kunz F, Szymusik A, Grünschachner-Berger V, Krumböck S, Stauffer C, Nopp-Mayr U (2018) Fine-scale genetic structure in an eastern Alpine black grouse Tetrao tetrix metapopulation. J Avian Biol 49:e01681. https://doi.org/10.1111/jav.01681. https://onlinelibrary.wiley.com/doi/full/10.1111/jav.01681
2. Methods for processing the data:
Sittenthaler M, Kunz F, Szymusik A, Grünschachner-Berger V, Krumböck S, Stauffer C, Nopp-Mayr U (2018) Fine-scale genetic structure in an eastern Alpine black grouse Tetrao tetrix metapopulation. J Avian Biol 49:e01681. https://doi.org/10.1111/jav.01681. https://onlinelibrary.wiley.com/doi/full/10.1111/jav.01681
3. Describe any quality-assurance procedures performed on the data:
Sittenthaler M, Kunz F, Szymusik A, Grünschachner-Berger V, Krumböck S, Stauffer C, Nopp-Mayr U (2018) Fine-scale genetic structure in an eastern Alpine black grouse Tetrao tetrix metapopulation. J Avian Biol 49:e01681. https://doi.org/10.1111/jav.01681. https://onlinelibrary.wiley.com/doi/full/10.1111/jav.01681
7. People involved with sample collection, processing, analysis and/or submission:
Sittenthaler M, Kunz F, Szymusik A, Grünschachner-Berger V, Krumböck S, Stauffer C, Nopp-Mayr U (2018) Fine-scale genetic structure in an eastern Alpine black grouse Tetrao tetrix metapopulation. J Avian Biol 49:e01681. https://doi.org/10.1111/jav.01681. https://onlinelibrary.wiley.com/doi/full/10.1111/jav.01681
DATA-SPECIFIC INFORMATION FOR: blackgrouse_9STR_10pops.txt
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1. Number of variables: 9 STR loci
2. Number of cases/rows: 195 individual genotypes
3. Variable List:
4. Missing data codes: 0000
5. Specialized formats or other abbreviations used: genepop file format as generated by GenAlEx 6.5.
Samples were collected non-invasively over the whole study area (Styria, Austria) in the years 2013, 2015, 2016. Special measurements to guarantee best quality DNA where: collection of faeces only from fresh snow (maximum 5 days after snowfall). Invasive samples were collected from hunted birds during the hunting season. 250 samples were collected and processed.
Extraction and amplification procedures of DNA are described in: Sittenthaler M, Kunz F, Szymusik A, et al (2018) Fine-scale genetic structure in an eastern Alpine black grouse Tetrao tetrix metapopulation. J Avian Biol 49:e01681. https://doi.org/10.1111/jav.01681.
The raw fas files from fragment length analysis were processed using the PeakScanner 2 software to get the genotypes.
File according to the genepop file format, as created by GenAlEx 6.5.
File format uses the 2 digit code.
Missing loci coded as: 0000.
Changes after Dec 15, 2022: moved README.txt into README.md
- Sittenthaler, Marcia et al. (2018), Fine-scale genetic structure in an eastern Alpine black grouse <i>Tetrao tetrix</i> metapopulation, Journal of Avian Biology, Journal-article, https://doi.org/10.1111/jav.01681
- Kunz, Florian et al. (2021), Assessment of drivers of spatial genetic variation of a ground‐dwelling bird species and its implications for conservation, Ecology and Evolution, Journal-article, https://doi.org/10.1002/ece3.8460
