Snow bunting winter banding data and associated daily weather variables for each individual capture
Snow bunting winter (Nov 1 to Mar 20) banding data (including age, sex, banding location, body mass, wing chord, fat score and time of capture) merged to associated daily weather data (including mean temperature, minimal temperature, maximal temperature, snow depth, total snowfall, absolute humidity...
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Online Access: | https://dx.doi.org/10.5061/dryad.f7h4614/1 https://datadryad.org/resource/doi:10.5061/dryad.f7h4614/1 |
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ftdatacite:10.5061/dryad.f7h4614/1 2023-05-15T17:14:20+02:00 Snow bunting winter banding data and associated daily weather variables for each individual capture Laplante, Marie-Pier McKinnon, Emily Love, Oliver P. Vézina, François 2019 https://dx.doi.org/10.5061/dryad.f7h4614/1 https://datadryad.org/resource/doi:10.5061/dryad.f7h4614/1 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.f7h4614 http://creativecommons.org/publicdomain/zero/1.0 CC0 avian energetics snow bunting winter acclimatization dataset Dataset DataFile 2019 ftdatacite https://doi.org/10.5061/dryad.f7h4614/1 https://doi.org/10.5061/dryad.f7h4614 2021-11-05T12:55:41Z Snow bunting winter (Nov 1 to Mar 20) banding data (including age, sex, banding location, body mass, wing chord, fat score and time of capture) merged to associated daily weather data (including mean temperature, minimal temperature, maximal temperature, snow depth, total snowfall, absolute humidity, maximal wing gust and cloud cover (for the period 2009-2015 for 8 locations in eastern Canada. Banding data were obtained from both the Canadian bird banding office and the citizen science project Canadian Snow Bunting Network. Daily weather variables were merged to banding data and were extracted from the following three sources : 1) environment and climate change weather office online, 2) ministère du développement durable de l'environnement et de la lutte contre les changements climatiques et 3) National snow and ice data center. Only individual record for which a complete set of information was available for every individual (i.e. sex, age, wing chord, fat score, body mass, time of capture) and only banding entries with an associated complete set of weather variables were kept in the dataset. Excel was used to calculate weather averaged over the three days preceding capture. R Software (3.2.1) was used to create the datafile and do all other manipulations. Dataset National Snow and Ice Data Center Snow Bunting DataCite Metadata Store (German National Library of Science and Technology) Canada |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
avian energetics snow bunting winter acclimatization |
spellingShingle |
avian energetics snow bunting winter acclimatization Laplante, Marie-Pier McKinnon, Emily Love, Oliver P. Vézina, François Snow bunting winter banding data and associated daily weather variables for each individual capture |
topic_facet |
avian energetics snow bunting winter acclimatization |
description |
Snow bunting winter (Nov 1 to Mar 20) banding data (including age, sex, banding location, body mass, wing chord, fat score and time of capture) merged to associated daily weather data (including mean temperature, minimal temperature, maximal temperature, snow depth, total snowfall, absolute humidity, maximal wing gust and cloud cover (for the period 2009-2015 for 8 locations in eastern Canada. Banding data were obtained from both the Canadian bird banding office and the citizen science project Canadian Snow Bunting Network. Daily weather variables were merged to banding data and were extracted from the following three sources : 1) environment and climate change weather office online, 2) ministère du développement durable de l'environnement et de la lutte contre les changements climatiques et 3) National snow and ice data center. Only individual record for which a complete set of information was available for every individual (i.e. sex, age, wing chord, fat score, body mass, time of capture) and only banding entries with an associated complete set of weather variables were kept in the dataset. Excel was used to calculate weather averaged over the three days preceding capture. R Software (3.2.1) was used to create the datafile and do all other manipulations. |
format |
Dataset |
author |
Laplante, Marie-Pier McKinnon, Emily Love, Oliver P. Vézina, François |
author_facet |
Laplante, Marie-Pier McKinnon, Emily Love, Oliver P. Vézina, François |
author_sort |
Laplante, Marie-Pier |
title |
Snow bunting winter banding data and associated daily weather variables for each individual capture |
title_short |
Snow bunting winter banding data and associated daily weather variables for each individual capture |
title_full |
Snow bunting winter banding data and associated daily weather variables for each individual capture |
title_fullStr |
Snow bunting winter banding data and associated daily weather variables for each individual capture |
title_full_unstemmed |
Snow bunting winter banding data and associated daily weather variables for each individual capture |
title_sort |
snow bunting winter banding data and associated daily weather variables for each individual capture |
publisher |
Dryad Digital Repository |
publishDate |
2019 |
url |
https://dx.doi.org/10.5061/dryad.f7h4614/1 https://datadryad.org/resource/doi:10.5061/dryad.f7h4614/1 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
National Snow and Ice Data Center Snow Bunting |
genre_facet |
National Snow and Ice Data Center Snow Bunting |
op_relation |
https://dx.doi.org/10.5061/dryad.f7h4614 |
op_rights |
http://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5061/dryad.f7h4614/1 https://doi.org/10.5061/dryad.f7h4614 |
_version_ |
1766071698920046592 |