Argos and GPS data for a polar bear track
It is rare to be able to validate state-space models for Argos data. This dataset provides a unique opportunity to do so, because it contains simultaneous Argos and GPS data for a polar bear. The GPS locations are extremely accurate (≤30 m) compared to Argos data, which can have errors as large as 3...
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ftzenodo:oai:zenodo.org:4624349 2024-09-09T20:12:58+00:00 Argos and GPS data for a polar bear track Auger-Méthé, Marie Derocher, Andrew E. 2021-03-19 https://doi.org/10.5061/dryad.4qrfj6q96 unknown Zenodo https://arxiv.org/abs/2002.02001 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.4qrfj6q96 oai:zenodo.org:4624349 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode Ursus maritimus GPS collar Argos info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5061/dryad.4qrfj6q96 2024-07-26T10:15:54Z It is rare to be able to validate state-space models for Argos data. This dataset provides a unique opportunity to do so, because it contains simultaneous Argos and GPS data for a polar bear. The GPS locations are extremely accurate (≤30 m) compared to Argos data, which can have errors as large as 36 km depending on the quality class. The dataset contains one year of movement data, starting on April 20, 2009. The dataset was used in the associated Ecological Monographs paper to show how to fit state-space models to ecological data. PB_Argos.csv – One year of Argos locations. DateTime contains the date and time of the locations, QualClass contains the quality category of the Argos location, Lat contains the latitude, and Lon contains the longitude. PB_GPS.csv – One year of daily GPS locations. DateTime contains the date and time of the locations, Lat contains the latitude, and Lon contains the longitude. Other/Unknown Material Ursus maritimus Zenodo |
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Ursus maritimus GPS collar Argos |
spellingShingle |
Ursus maritimus GPS collar Argos Auger-Méthé, Marie Derocher, Andrew E. Argos and GPS data for a polar bear track |
topic_facet |
Ursus maritimus GPS collar Argos |
description |
It is rare to be able to validate state-space models for Argos data. This dataset provides a unique opportunity to do so, because it contains simultaneous Argos and GPS data for a polar bear. The GPS locations are extremely accurate (≤30 m) compared to Argos data, which can have errors as large as 36 km depending on the quality class. The dataset contains one year of movement data, starting on April 20, 2009. The dataset was used in the associated Ecological Monographs paper to show how to fit state-space models to ecological data. PB_Argos.csv – One year of Argos locations. DateTime contains the date and time of the locations, QualClass contains the quality category of the Argos location, Lat contains the latitude, and Lon contains the longitude. PB_GPS.csv – One year of daily GPS locations. DateTime contains the date and time of the locations, Lat contains the latitude, and Lon contains the longitude. |
format |
Other/Unknown Material |
author |
Auger-Méthé, Marie Derocher, Andrew E. |
author_facet |
Auger-Méthé, Marie Derocher, Andrew E. |
author_sort |
Auger-Méthé, Marie |
title |
Argos and GPS data for a polar bear track |
title_short |
Argos and GPS data for a polar bear track |
title_full |
Argos and GPS data for a polar bear track |
title_fullStr |
Argos and GPS data for a polar bear track |
title_full_unstemmed |
Argos and GPS data for a polar bear track |
title_sort |
argos and gps data for a polar bear track |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://doi.org/10.5061/dryad.4qrfj6q96 |
genre |
Ursus maritimus |
genre_facet |
Ursus maritimus |
op_relation |
https://arxiv.org/abs/2002.02001 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.4qrfj6q96 oai:zenodo.org:4624349 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.4qrfj6q96 |
_version_ |
1809947604231913472 |