Training Data and Trained Convolutional Neural Network Model for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" ...

Here you will find the training data and the trained convolutional neural network model used in "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" The contents are as follows: 04_63_epoch_8639-43402.h5 is the trained convol...

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Bibliographic Details
Main Author: Jasper, Claire
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2024
Subjects:
Antarc*
Antarctic
Ice Sheet
Iceberg*
Online Access:https://dx.doi.org/10.5281/zenodo.13333688
https://zenodo.org/doi/10.5281/zenodo.13333688
id ftdatacite:10.5281/zenodo.13333688
record_format openpolar
spelling ftdatacite:10.5281/zenodo.13333688 2024-09-15T17:48:27+00:00 Training Data and Trained Convolutional Neural Network Model for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" ... Jasper, Claire 2024 https://dx.doi.org/10.5281/zenodo.13333688 https://zenodo.org/doi/10.5281/zenodo.13333688 unknown Zenodo https://dx.doi.org/10.5281/zenodo.13333689 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CreativeWork article Model 2024 ftdatacite https://doi.org/10.5281/zenodo.1333368810.5281/zenodo.13333689 2024-09-02T08:44:07Z Here you will find the training data and the trained convolutional neural network model used in "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" The contents are as follows: 04_63_epoch_8639-43402.h5 is the trained convolutional neural network that was used to identify and quantify IRD in this study RAW IMAGES.zip are all of the raw X-ray images used as training data TAGGED.zip are all of the IRD-labeled files associated with the raw images X_RAW IMAGES.zip are all of the "special target" non-IRD raw X-ray images used to target confounding non-IRD features X_TAGGED.zip are all of the labeled files associated with X_RAW IMAGES.zip ... Article in Journal/Newspaper Antarc* Antarctic Ice Sheet Iceberg* DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language unknown
description Here you will find the training data and the trained convolutional neural network model used in "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" The contents are as follows: 04_63_epoch_8639-43402.h5 is the trained convolutional neural network that was used to identify and quantify IRD in this study RAW IMAGES.zip are all of the raw X-ray images used as training data TAGGED.zip are all of the IRD-labeled files associated with the raw images X_RAW IMAGES.zip are all of the "special target" non-IRD raw X-ray images used to target confounding non-IRD features X_TAGGED.zip are all of the labeled files associated with X_RAW IMAGES.zip ...
format Article in Journal/Newspaper
author Jasper, Claire
spellingShingle Jasper, Claire
Training Data and Trained Convolutional Neural Network Model for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" ...
author_facet Jasper, Claire
author_sort Jasper, Claire
title Training Data and Trained Convolutional Neural Network Model for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" ...
title_short Training Data and Trained Convolutional Neural Network Model for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" ...
title_full Training Data and Trained Convolutional Neural Network Model for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" ...
title_fullStr Training Data and Trained Convolutional Neural Network Model for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" ...
title_full_unstemmed Training Data and Trained Convolutional Neural Network Model for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" ...
title_sort training data and trained convolutional neural network model for "a 3.3-million-year record of antarctic iceberg rafted debris and ice sheet evolution quantified by machine learning" ...
publisher Zenodo
publishDate 2024
url https://dx.doi.org/10.5281/zenodo.13333688
https://zenodo.org/doi/10.5281/zenodo.13333688
genre Antarc*
Antarctic
Ice Sheet
Iceberg*
genre_facet Antarc*
Antarctic
Ice Sheet
Iceberg*
op_relation https://dx.doi.org/10.5281/zenodo.13333689
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.5281/zenodo.1333368810.5281/zenodo.13333689
_version_ 1810289694431248384

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