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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Main Authors: Auger-Méthé, Marie, Derocher, Andrew E.
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://doi.org/10.5061/dryad.4qrfj6q96
id ftzenodo:oai:zenodo.org:4624349
record_format openpolar
spelling 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
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic 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
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