TBMU_Accelerometer_Part4

Accelerometer data for thick-billed murres from Coats Island, NU, in 2018. Data have been processed to calculate accelerometer-derived metrics and classified to four behavioural classes (on colony, diving, flying, swimming) using six different methods. Data are split into four .csv files.

Bibliographic Details
Main Authors: Patterson, Allison, Gilchrist, H., Chivers, Lorraine, Hatch, Scott, Elliott, Kyle
Format: Dataset
Language:unknown
Published: Dryad Digital Repository 2019
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.2hf101c/7
https://datadryad.org/resource/doi:10.5061/dryad.2hf101c/7
id ftdatacite:10.5061/dryad.2hf101c/7
record_format openpolar
spelling ftdatacite:10.5061/dryad.2hf101c/7 2023-05-15T15:55:43+02:00 TBMU_Accelerometer_Part4 Patterson, Allison Gilchrist, H. Chivers, Lorraine Hatch, Scott Elliott, Kyle 2019 https://dx.doi.org/10.5061/dryad.2hf101c/7 https://datadryad.org/resource/doi:10.5061/dryad.2hf101c/7 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.2hf101c http://creativecommons.org/publicdomain/zero/1.0 CC0 behavioral classification accelerometer movement ecology animal behavior seabird tracking Uria lomvia dataset Dataset DataFile 2019 ftdatacite https://doi.org/10.5061/dryad.2hf101c/7 https://doi.org/10.5061/dryad.2hf101c 2021-11-05T12:55:41Z Accelerometer data for thick-billed murres from Coats Island, NU, in 2018. Data have been processed to calculate accelerometer-derived metrics and classified to four behavioural classes (on colony, diving, flying, swimming) using six different methods. Data are split into four .csv files. Dataset Coats Island Uria lomvia uria DataCite Metadata Store (German National Library of Science and Technology) Coats Island ENVELOPE(-82.974,-82.974,62.620,62.620)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic behavioral classification
accelerometer
movement ecology
animal behavior
seabird tracking
Uria lomvia
spellingShingle behavioral classification
accelerometer
movement ecology
animal behavior
seabird tracking
Uria lomvia
Patterson, Allison
Gilchrist, H.
Chivers, Lorraine
Hatch, Scott
Elliott, Kyle
TBMU_Accelerometer_Part4
topic_facet behavioral classification
accelerometer
movement ecology
animal behavior
seabird tracking
Uria lomvia
description Accelerometer data for thick-billed murres from Coats Island, NU, in 2018. Data have been processed to calculate accelerometer-derived metrics and classified to four behavioural classes (on colony, diving, flying, swimming) using six different methods. Data are split into four .csv files.
format Dataset
author Patterson, Allison
Gilchrist, H.
Chivers, Lorraine
Hatch, Scott
Elliott, Kyle
author_facet Patterson, Allison
Gilchrist, H.
Chivers, Lorraine
Hatch, Scott
Elliott, Kyle
author_sort Patterson, Allison
title TBMU_Accelerometer_Part4
title_short TBMU_Accelerometer_Part4
title_full TBMU_Accelerometer_Part4
title_fullStr TBMU_Accelerometer_Part4
title_full_unstemmed TBMU_Accelerometer_Part4
title_sort tbmu_accelerometer_part4
publisher Dryad Digital Repository
publishDate 2019
url https://dx.doi.org/10.5061/dryad.2hf101c/7
https://datadryad.org/resource/doi:10.5061/dryad.2hf101c/7
long_lat ENVELOPE(-82.974,-82.974,62.620,62.620)
geographic Coats Island
geographic_facet Coats Island
genre Coats Island
Uria lomvia
uria
genre_facet Coats Island
Uria lomvia
uria
op_relation https://dx.doi.org/10.5061/dryad.2hf101c
op_rights http://creativecommons.org/publicdomain/zero/1.0
op_rightsnorm CC0
op_doi https://doi.org/10.5061/dryad.2hf101c/7
https://doi.org/10.5061/dryad.2hf101c
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