Data supporting the paper
Data1 is a dataframe with 7 variables: 1) id = female identity, 2) RS = annual reproductive success of females aged 7 years and over (0 = failed, 1 = success), 3) year, 4) ROSutero = rain on-snow events experienced in utero (0 = high, 1 = low), 5) alo = age at last observation, 6) ROScurrent = rain-...
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Online Access: | https://dx.doi.org/10.5061/dryad.fp505/1 http://datadryad.org/resource/doi:10.5061/dryad.fp505/1 |
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ftdatacite:10.5061/dryad.fp505/1 2023-05-15T18:29:48+02:00 Data supporting the paper Douhard, Mathieu Loe, Leif Egil Stien, Audun Bonenfant, Christophe Irvine, R. Justin Veiberg, Vebjørn Ropstad, Erik Albon, Steve 2016 https://dx.doi.org/10.5061/dryad.fp505/1 http://datadryad.org/resource/doi:10.5061/dryad.fp505/1 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.fp505 http://creativecommons.org/publicdomain/zero/1.0 CC0 climate change cohort development phenotypic plasticity Svalbard reindeer predictive adaptive response dataset Dataset DataFile 2016 ftdatacite https://doi.org/10.5061/dryad.fp505/1 https://doi.org/10.5061/dryad.fp505 2021-11-05T12:55:41Z Data1 is a dataframe with 7 variables: 1) id = female identity, 2) RS = annual reproductive success of females aged 7 years and over (0 = failed, 1 = success), 3) year, 4) ROSutero = rain on-snow events experienced in utero (0 = high, 1 = low), 5) alo = age at last observation, 6) ROScurrent = rain-on-snow experienced in current year, 7) age. Data2 is a dataframe with 7 variables: 1) id = female identity, 2) RS = annual reproductive success of females aged 2-6 years (0 = failed, 1 = success), 3) year, 4) ROSutero = rain on-snow events experienced in utero (0 = high, 1 = low), 5) alo = age at last observation between 2 and 6 years, 6) ROScurrent = rain-on-snow experienced in current year, 7) age . Data3 is a dataframe with 5 variables: 1) id = female identity, 2) year, 3) preg = annual pregnancy probability of females aged 2-6 years, 4) ROSutero = rain on-snow events experienced in utero (0 = high, 1 = low), 5) BM = body mass. All continuous variables have been centered and divided by two standard deviations. Dataset Svalbard svalbard reindeer DataCite Metadata Store (German National Library of Science and Technology) Svalbard |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
climate change cohort development phenotypic plasticity Svalbard reindeer predictive adaptive response |
spellingShingle |
climate change cohort development phenotypic plasticity Svalbard reindeer predictive adaptive response Douhard, Mathieu Loe, Leif Egil Stien, Audun Bonenfant, Christophe Irvine, R. Justin Veiberg, Vebjørn Ropstad, Erik Albon, Steve Data supporting the paper |
topic_facet |
climate change cohort development phenotypic plasticity Svalbard reindeer predictive adaptive response |
description |
Data1 is a dataframe with 7 variables: 1) id = female identity, 2) RS = annual reproductive success of females aged 7 years and over (0 = failed, 1 = success), 3) year, 4) ROSutero = rain on-snow events experienced in utero (0 = high, 1 = low), 5) alo = age at last observation, 6) ROScurrent = rain-on-snow experienced in current year, 7) age. Data2 is a dataframe with 7 variables: 1) id = female identity, 2) RS = annual reproductive success of females aged 2-6 years (0 = failed, 1 = success), 3) year, 4) ROSutero = rain on-snow events experienced in utero (0 = high, 1 = low), 5) alo = age at last observation between 2 and 6 years, 6) ROScurrent = rain-on-snow experienced in current year, 7) age . Data3 is a dataframe with 5 variables: 1) id = female identity, 2) year, 3) preg = annual pregnancy probability of females aged 2-6 years, 4) ROSutero = rain on-snow events experienced in utero (0 = high, 1 = low), 5) BM = body mass. All continuous variables have been centered and divided by two standard deviations. |
format |
Dataset |
author |
Douhard, Mathieu Loe, Leif Egil Stien, Audun Bonenfant, Christophe Irvine, R. Justin Veiberg, Vebjørn Ropstad, Erik Albon, Steve |
author_facet |
Douhard, Mathieu Loe, Leif Egil Stien, Audun Bonenfant, Christophe Irvine, R. Justin Veiberg, Vebjørn Ropstad, Erik Albon, Steve |
author_sort |
Douhard, Mathieu |
title |
Data supporting the paper |
title_short |
Data supporting the paper |
title_full |
Data supporting the paper |
title_fullStr |
Data supporting the paper |
title_full_unstemmed |
Data supporting the paper |
title_sort |
data supporting the paper |
publisher |
Dryad Digital Repository |
publishDate |
2016 |
url |
https://dx.doi.org/10.5061/dryad.fp505/1 http://datadryad.org/resource/doi:10.5061/dryad.fp505/1 |
geographic |
Svalbard |
geographic_facet |
Svalbard |
genre |
Svalbard svalbard reindeer |
genre_facet |
Svalbard svalbard reindeer |
op_relation |
https://dx.doi.org/10.5061/dryad.fp505 |
op_rights |
http://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5061/dryad.fp505/1 https://doi.org/10.5061/dryad.fp505 |
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1766213186209447936 |