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...
Main Authors: | , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
Zenodo
2021
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.5108635 https://zenodo.org/record/5108635 |
id |
ftdatacite:10.5281/zenodo.5108635 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5281/zenodo.5108635 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.5108635 https://zenodo.org/record/5108635 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5108636 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.5108635 https://doi.org/10.5281/zenodo.5108636 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.5108635 https://zenodo.org/record/5108635 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.5108636 |
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.5108635 https://doi.org/10.5281/zenodo.5108636 |
_version_ |
1766193399986126848 |