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...

Full description

Bibliographic Details
Main Author: Kaichang CHENG
Format: Dataset
Language:unknown
Published: figshare 2019
Subjects:
40305 Marine Geoscience
FOS Earth and related environmental sciences
Oceanography
Ecology
FOS Biological sciences
Bering Sea
Online Access:https://dx.doi.org/10.6084/m9.figshare.8146283.v1
https://figshare.com/articles/Dataset_BeringSea_zip/8146283/1
id ftdatacite:10.6084/m9.figshare.8146283.v1
record_format openpolar
spelling 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
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id 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

Similar Items