Geographic distance matrix for Mantel and spatial autocorrelation tests
This file is a square matrix of geographic distance, in kilometers, between 111 wolves. Genalex was used to calculate these distances, using the options 'Genalex --> distance --> geographic --> decimal lat/long, square matrix'. Individuals are in the same order as in the nacanids_...
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Dryad Digital Repository
2015
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Online Access: | https://dx.doi.org/10.5061/dryad.c9b25/12 http://datadryad.org/resource/doi:10.5061/dryad.c9b25/12 |
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ftdatacite:10.5061/dryad.c9b25/12 2023-05-15T15:49:34+02:00 Geographic distance matrix for Mantel and spatial autocorrelation tests Schweizer, Rena M. VonHoldt, Bridgett M. Harrigan, Ryan Knowles, James C. Musiani, Marco Coltman, David Novembre, John Wayne, Robert K. 2015 https://dx.doi.org/10.5061/dryad.c9b25/12 http://datadryad.org/resource/doi:10.5061/dryad.c9b25/12 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.c9b25 http://creativecommons.org/publicdomain/zero/1.0 CC0 Adaptation Mammals Ecological Genetics Genomics/Proteomics Population Genetics - Empirical North America Holocene Canis lupus dataset Dataset DataFile 2015 ftdatacite https://doi.org/10.5061/dryad.c9b25/12 https://doi.org/10.5061/dryad.c9b25 2021-11-05T12:55:41Z This file is a square matrix of geographic distance, in kilometers, between 111 wolves. Genalex was used to calculate these distances, using the options 'Genalex --> distance --> geographic --> decimal lat/long, square matrix'. Individuals are in the same order as in the nacanids_111indiv_unrel_noYNP_42Ksnps.tfam file. Dataset Canis lupus DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Adaptation Mammals Ecological Genetics Genomics/Proteomics Population Genetics - Empirical North America Holocene Canis lupus |
spellingShingle |
Adaptation Mammals Ecological Genetics Genomics/Proteomics Population Genetics - Empirical North America Holocene Canis lupus Schweizer, Rena M. VonHoldt, Bridgett M. Harrigan, Ryan Knowles, James C. Musiani, Marco Coltman, David Novembre, John Wayne, Robert K. Geographic distance matrix for Mantel and spatial autocorrelation tests |
topic_facet |
Adaptation Mammals Ecological Genetics Genomics/Proteomics Population Genetics - Empirical North America Holocene Canis lupus |
description |
This file is a square matrix of geographic distance, in kilometers, between 111 wolves. Genalex was used to calculate these distances, using the options 'Genalex --> distance --> geographic --> decimal lat/long, square matrix'. Individuals are in the same order as in the nacanids_111indiv_unrel_noYNP_42Ksnps.tfam file. |
format |
Dataset |
author |
Schweizer, Rena M. VonHoldt, Bridgett M. Harrigan, Ryan Knowles, James C. Musiani, Marco Coltman, David Novembre, John Wayne, Robert K. |
author_facet |
Schweizer, Rena M. VonHoldt, Bridgett M. Harrigan, Ryan Knowles, James C. Musiani, Marco Coltman, David Novembre, John Wayne, Robert K. |
author_sort |
Schweizer, Rena M. |
title |
Geographic distance matrix for Mantel and spatial autocorrelation tests |
title_short |
Geographic distance matrix for Mantel and spatial autocorrelation tests |
title_full |
Geographic distance matrix for Mantel and spatial autocorrelation tests |
title_fullStr |
Geographic distance matrix for Mantel and spatial autocorrelation tests |
title_full_unstemmed |
Geographic distance matrix for Mantel and spatial autocorrelation tests |
title_sort |
geographic distance matrix for mantel and spatial autocorrelation tests |
publisher |
Dryad Digital Repository |
publishDate |
2015 |
url |
https://dx.doi.org/10.5061/dryad.c9b25/12 http://datadryad.org/resource/doi:10.5061/dryad.c9b25/12 |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_relation |
https://dx.doi.org/10.5061/dryad.c9b25 |
op_rights |
http://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5061/dryad.c9b25/12 https://doi.org/10.5061/dryad.c9b25 |
_version_ |
1766384605281124352 |