Training Data for NN-WIFF (Horvat and Roach, 2021)

Contains datasets used to train the neural network implementation of WIFF1.0 (github.com/chhorvat/WIFF-Model/). Three files: 1) Training_converged.mat - this is a matlab file containing in and out, which are the input and output vectors used to train the NN-WIFF networks. 2) 6hourly.zip - contains f...

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Bibliographic Details
Main Authors: Horvat, Christopher, Roach, Lettie
Format: Dataset
Language:unknown
Published: Zenodo 2021
Subjects:
Sea ice
Online Access:https://dx.doi.org/10.5281/zenodo.5108636
https://zenodo.org/record/5108636
id ftdatacite:10.5281/zenodo.5108636
record_format openpolar
spelling ftdatacite:10.5281/zenodo.5108636 2023-05-15T18:17:55+02:00 Training Data for NN-WIFF (Horvat and Roach, 2021) Horvat, Christopher Roach, Lettie 2021 https://dx.doi.org/10.5281/zenodo.5108636 https://zenodo.org/record/5108636 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5108635 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.5108636 https://doi.org/10.5281/zenodo.5108635 2021-11-05T12:55:41Z Contains datasets used to train the neural network implementation of WIFF1.0 (github.com/chhorvat/WIFF-Model/). Three files: 1) Training_converged.mat - this is a matlab file containing in and out, which are the input and output vectors used to train the NN-WIFF networks. 2) 6hourly.zip - contains files used to create training_converged.mat. These are 6-hourly snapshots of sea ice thickness and concentration in 2009 CICE simulations driven by ocean surface waves. 3) 6hourlyfrachist.zip - contains files used to create training_converged.mat. These are 6-hourly snapshots of converged (SP-WIFF) fracture histograms in 2009 CICE simulations driven by ocean surface waves. Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description Contains datasets used to train the neural network implementation of WIFF1.0 (github.com/chhorvat/WIFF-Model/). Three files: 1) Training_converged.mat - this is a matlab file containing in and out, which are the input and output vectors used to train the NN-WIFF networks. 2) 6hourly.zip - contains files used to create training_converged.mat. These are 6-hourly snapshots of sea ice thickness and concentration in 2009 CICE simulations driven by ocean surface waves. 3) 6hourlyfrachist.zip - contains files used to create training_converged.mat. These are 6-hourly snapshots of converged (SP-WIFF) fracture histograms in 2009 CICE simulations driven by ocean surface waves.
format Dataset
author Horvat, Christopher
Roach, Lettie
spellingShingle Horvat, Christopher
Roach, Lettie
Training Data for NN-WIFF (Horvat and Roach, 2021)
author_facet Horvat, Christopher
Roach, Lettie
author_sort Horvat, Christopher
title Training Data for NN-WIFF (Horvat and Roach, 2021)
title_short Training Data for NN-WIFF (Horvat and Roach, 2021)
title_full Training Data for NN-WIFF (Horvat and Roach, 2021)
title_fullStr Training Data for NN-WIFF (Horvat and Roach, 2021)
title_full_unstemmed Training Data for NN-WIFF (Horvat and Roach, 2021)
title_sort training data for nn-wiff (horvat and roach, 2021)
publisher Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.5108636
https://zenodo.org/record/5108636
genre Sea ice
genre_facet Sea ice
op_relation https://dx.doi.org/10.5281/zenodo.5108635
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.5108636
https://doi.org/10.5281/zenodo.5108635
_version_ 1766193400662458368

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