TemporalContext-2021-FinWhale
This dataset contains representative fin whale (Balaenoptera physalus) acoustic data and annotations to train recognition models using code available at https://github.com/shyamblast/TemporalContext-2021 We thank staff of NOAA Channel Islands National Marine Sanctuary for their support of data colle...
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2021
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Online Access: | https://zenodo.org/record/4661495 https://doi.org/10.5281/zenodo.4661495 |
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ftzenodo:oai:zenodo.org:4661495 2023-05-15T15:36:33+02:00 TemporalContext-2021-FinWhale Madhusudhana, Shyam Yu Shiu Klinck, Holger Fleishman, Erica Liu, Xiaobai Nosal, Eva-Marie Helble, Tyler Cholewiak, Danielle Gillespie, Douglas Širović, Ana Roch, Marie 2021-04-03 https://zenodo.org/record/4661495 https://doi.org/10.5281/zenodo.4661495 unknown doi:10.5281/zenodo.4661494 https://zenodo.org/record/4661495 https://doi.org/10.5281/zenodo.4661495 oai:zenodo.org:4661495 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode temporal context bioacoustics automatic recognition fin whale deep neural network info:eu-repo/semantics/other dataset 2021 ftzenodo https://doi.org/10.5281/zenodo.466149510.5281/zenodo.4661494 2023-03-11T03:33:27Z This dataset contains representative fin whale (Balaenoptera physalus) acoustic data and annotations to train recognition models using code available at https://github.com/shyamblast/TemporalContext-2021 We thank staff of NOAA Channel Islands National Marine Sanctuary for their support of data collection as well as the teams of the Scripps Institution of Oceanography - Marine Bioacoustics Research Collaborative for their dedicated work building, deploying, and processing instrumentation and data used in this paper. Dataset Balaenoptera physalus Fin whale Zenodo Scripps ENVELOPE(-63.783,-63.783,-69.150,-69.150) |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
temporal context bioacoustics automatic recognition fin whale deep neural network |
spellingShingle |
temporal context bioacoustics automatic recognition fin whale deep neural network Madhusudhana, Shyam Yu Shiu Klinck, Holger Fleishman, Erica Liu, Xiaobai Nosal, Eva-Marie Helble, Tyler Cholewiak, Danielle Gillespie, Douglas Širović, Ana Roch, Marie TemporalContext-2021-FinWhale |
topic_facet |
temporal context bioacoustics automatic recognition fin whale deep neural network |
description |
This dataset contains representative fin whale (Balaenoptera physalus) acoustic data and annotations to train recognition models using code available at https://github.com/shyamblast/TemporalContext-2021 We thank staff of NOAA Channel Islands National Marine Sanctuary for their support of data collection as well as the teams of the Scripps Institution of Oceanography - Marine Bioacoustics Research Collaborative for their dedicated work building, deploying, and processing instrumentation and data used in this paper. |
format |
Dataset |
author |
Madhusudhana, Shyam Yu Shiu Klinck, Holger Fleishman, Erica Liu, Xiaobai Nosal, Eva-Marie Helble, Tyler Cholewiak, Danielle Gillespie, Douglas Širović, Ana Roch, Marie |
author_facet |
Madhusudhana, Shyam Yu Shiu Klinck, Holger Fleishman, Erica Liu, Xiaobai Nosal, Eva-Marie Helble, Tyler Cholewiak, Danielle Gillespie, Douglas Širović, Ana Roch, Marie |
author_sort |
Madhusudhana, Shyam |
title |
TemporalContext-2021-FinWhale |
title_short |
TemporalContext-2021-FinWhale |
title_full |
TemporalContext-2021-FinWhale |
title_fullStr |
TemporalContext-2021-FinWhale |
title_full_unstemmed |
TemporalContext-2021-FinWhale |
title_sort |
temporalcontext-2021-finwhale |
publishDate |
2021 |
url |
https://zenodo.org/record/4661495 https://doi.org/10.5281/zenodo.4661495 |
long_lat |
ENVELOPE(-63.783,-63.783,-69.150,-69.150) |
geographic |
Scripps |
geographic_facet |
Scripps |
genre |
Balaenoptera physalus Fin whale |
genre_facet |
Balaenoptera physalus Fin whale |
op_relation |
doi:10.5281/zenodo.4661494 https://zenodo.org/record/4661495 https://doi.org/10.5281/zenodo.4661495 oai:zenodo.org:4661495 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.466149510.5281/zenodo.4661494 |
_version_ |
1766366913771864064 |