Dataset_BeringSea.zip
This is the minimal underlying in situ plankton dataset of Bering Sea used for the validation of enhanced CNN proposed by us. All the raw images were acquired by ZOOVIS in the southeastern Bering Sea in May 2017.This dataset contains a training set and a testing set, and both of them contain 7 class...
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Online Access: | https://dx.doi.org/10.6084/m9.figshare.8146283.v1 https://figshare.com/articles/Dataset_BeringSea_zip/8146283/1 |
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ftdatacite:10.6084/m9.figshare.8146283.v1 2023-05-15T15:43:12+02:00 Dataset_BeringSea.zip Kaichang CHENG 2019 https://dx.doi.org/10.6084/m9.figshare.8146283.v1 https://figshare.com/articles/Dataset_BeringSea_zip/8146283/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.8146283 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 40305 Marine Geoscience FOS Earth and related environmental sciences Oceanography Ecology FOS Biological sciences dataset Dataset 2019 ftdatacite https://doi.org/10.6084/m9.figshare.8146283.v1 https://doi.org/10.6084/m9.figshare.8146283 2021-11-05T12:55:41Z This is the minimal underlying in situ plankton dataset of Bering Sea used for the validation of enhanced CNN proposed by us. All the raw images were acquired by ZOOVIS in the southeastern Bering Sea in May 2017.This dataset contains a training set and a testing set, and both of them contain 7 classes (chaetognatha, copepoda, medusae, euphausiids, fish larvae, limacina and other). In addition, there are 2048 samples in the training set and 512 samples in the testing set for each class. Dataset Bering Sea DataCite Metadata Store (German National Library of Science and Technology) Bering Sea |
institution |
Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
topic |
40305 Marine Geoscience FOS Earth and related environmental sciences Oceanography Ecology FOS Biological sciences |
spellingShingle |
40305 Marine Geoscience FOS Earth and related environmental sciences Oceanography Ecology FOS Biological sciences Kaichang CHENG Dataset_BeringSea.zip |
topic_facet |
40305 Marine Geoscience FOS Earth and related environmental sciences Oceanography Ecology FOS Biological sciences |
description |
This is the minimal underlying in situ plankton dataset of Bering Sea used for the validation of enhanced CNN proposed by us. All the raw images were acquired by ZOOVIS in the southeastern Bering Sea in May 2017.This dataset contains a training set and a testing set, and both of them contain 7 classes (chaetognatha, copepoda, medusae, euphausiids, fish larvae, limacina and other). In addition, there are 2048 samples in the training set and 512 samples in the testing set for each class. |
format |
Dataset |
author |
Kaichang CHENG |
author_facet |
Kaichang CHENG |
author_sort |
Kaichang CHENG |
title |
Dataset_BeringSea.zip |
title_short |
Dataset_BeringSea.zip |
title_full |
Dataset_BeringSea.zip |
title_fullStr |
Dataset_BeringSea.zip |
title_full_unstemmed |
Dataset_BeringSea.zip |
title_sort |
dataset_beringsea.zip |
publisher |
figshare |
publishDate |
2019 |
url |
https://dx.doi.org/10.6084/m9.figshare.8146283.v1 https://figshare.com/articles/Dataset_BeringSea_zip/8146283/1 |
geographic |
Bering Sea |
geographic_facet |
Bering Sea |
genre |
Bering Sea |
genre_facet |
Bering Sea |
op_relation |
https://dx.doi.org/10.6084/m9.figshare.8146283 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.6084/m9.figshare.8146283.v1 https://doi.org/10.6084/m9.figshare.8146283 |
_version_ |
1766377243649507328 |