Data for Internal Variability Increased Arctic Amplification from 1980-2022 ...
This data holds the historical and spliced data required to run the convolutional neural network document in Sweeney et al., 2023 submitted to GRL. Data is stored in two folders (historical and spliced), and individual models are put into each category and separated by ensemble number, time period o...
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| Format: | Dataset |
| Language: | unknown |
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Zenodo
2023
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| Online Access: | https://dx.doi.org/10.5281/zenodo.8286633 https://zenodo.org/record/8286633 |
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ftdatacite:10.5281/zenodo.8286633 |
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openpolar |
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ftdatacite:10.5281/zenodo.8286633 2023-10-01T03:53:44+02:00 Data for Internal Variability Increased Arctic Amplification from 1980-2022 ... Sweeney, Aodhan 2023 https://dx.doi.org/10.5281/zenodo.8286633 https://zenodo.org/record/8286633 unknown Zenodo https://dx.doi.org/10.5281/zenodo.8286632 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 Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.828663310.5281/zenodo.8286632 2023-09-04T15:08:52Z This data holds the historical and spliced data required to run the convolutional neural network document in Sweeney et al., 2023 submitted to GRL. Data is stored in two folders (historical and spliced), and individual models are put into each category and separated by ensemble number, time period of trend, variable type (surface air temp or sea level pressure), latitude and longitude. ... Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
| institution |
Open Polar |
| collection |
DataCite Metadata Store (German National Library of Science and Technology) |
| op_collection_id |
ftdatacite |
| language |
unknown |
| description |
This data holds the historical and spliced data required to run the convolutional neural network document in Sweeney et al., 2023 submitted to GRL. Data is stored in two folders (historical and spliced), and individual models are put into each category and separated by ensemble number, time period of trend, variable type (surface air temp or sea level pressure), latitude and longitude. ... |
| format |
Dataset |
| author |
Sweeney, Aodhan |
| spellingShingle |
Sweeney, Aodhan Data for Internal Variability Increased Arctic Amplification from 1980-2022 ... |
| author_facet |
Sweeney, Aodhan |
| author_sort |
Sweeney, Aodhan |
| title |
Data for Internal Variability Increased Arctic Amplification from 1980-2022 ... |
| title_short |
Data for Internal Variability Increased Arctic Amplification from 1980-2022 ... |
| title_full |
Data for Internal Variability Increased Arctic Amplification from 1980-2022 ... |
| title_fullStr |
Data for Internal Variability Increased Arctic Amplification from 1980-2022 ... |
| title_full_unstemmed |
Data for Internal Variability Increased Arctic Amplification from 1980-2022 ... |
| title_sort |
data for internal variability increased arctic amplification from 1980-2022 ... |
| publisher |
Zenodo |
| publishDate |
2023 |
| url |
https://dx.doi.org/10.5281/zenodo.8286633 https://zenodo.org/record/8286633 |
| geographic |
Arctic |
| geographic_facet |
Arctic |
| genre |
Arctic |
| genre_facet |
Arctic |
| op_relation |
https://dx.doi.org/10.5281/zenodo.8286632 |
| 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_doi |
https://doi.org/10.5281/zenodo.828663310.5281/zenodo.8286632 |
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1778520567491592192 |