A Dataset for Investigating Socio-ecological Changes in Arctic Fjords
The collection of in situ data is generally a costly process, with the Arctic being no exception. Indeed, there has been a perception that the Arctic lacks for in situ sampling; however, after many years of concerted effort and international collaboration, the Arctic is now rather well sampled with...
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ftzenodo:oai:zenodo.org:7472376 2024-09-09T19:18:10+00:00 A Dataset for Investigating Socio-ecological Changes in Arctic Fjords Schlegel, Robert William Gattuso, Jean-Pierre 2022-12-22 https://doi.org/10.5281/zenodo.7472376 eng eng Zenodo https://zenodo.org/communities/face-it https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.7472375 https://doi.org/10.5281/zenodo.7472376 oai:zenodo.org:7472376 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cryosphere physical oceanography chemical oceanography biology social-science info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.747237610.5281/zenodo.7472375 2024-07-26T06:44:02Z The collection of in situ data is generally a costly process, with the Arctic being no exception. Indeed, there has been a perception that the Arctic lacks for in situ sampling; however, after many years of concerted effort and international collaboration, the Arctic is now rather well sampled with many cruise expeditions every year. For example, the GLODAP product has a greater density of in situ sample points within the Arctic than along the equator. While this is useful for open ocean processes, the fjords of the Arctic, which serve as crucially important intersections of terrestrial, coastal, and marine processes, are sampled in a much more ad hoc process. This is not to say they are not well sampled, but rather that the data are more difficult to source and combine for further analysis. It was therefore noted that the fjords of the Arctic are lacking in FAIR (Findability, Accessibility, Interoperability, and Reuse) data. To address this issue a single dataset has been created from publicly available, predominantly in situ data from a number of online platforms. After finding and accessing the data, they were amalgamated into a single project-wide standard, ensuring their interoperability. The dataset was then uploaded to PANGAEA so that it itself can be findable and reusable into the future. The focus of the data collection was driven by the key drivers of change in Arctic fjords identified in a companion review paper. This dataset is a work in progress and as new datasets containing the relevant key drivers are released they will be added to an updated version planned for late 2024. This dataset is a compilation of many smaller datasets. It currently contains ~1400 references. Other/Unknown Material Arctic Zenodo Arctic |
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language |
English |
topic |
cryosphere physical oceanography chemical oceanography biology social-science |
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cryosphere physical oceanography chemical oceanography biology social-science Schlegel, Robert William Gattuso, Jean-Pierre A Dataset for Investigating Socio-ecological Changes in Arctic Fjords |
topic_facet |
cryosphere physical oceanography chemical oceanography biology social-science |
description |
The collection of in situ data is generally a costly process, with the Arctic being no exception. Indeed, there has been a perception that the Arctic lacks for in situ sampling; however, after many years of concerted effort and international collaboration, the Arctic is now rather well sampled with many cruise expeditions every year. For example, the GLODAP product has a greater density of in situ sample points within the Arctic than along the equator. While this is useful for open ocean processes, the fjords of the Arctic, which serve as crucially important intersections of terrestrial, coastal, and marine processes, are sampled in a much more ad hoc process. This is not to say they are not well sampled, but rather that the data are more difficult to source and combine for further analysis. It was therefore noted that the fjords of the Arctic are lacking in FAIR (Findability, Accessibility, Interoperability, and Reuse) data. To address this issue a single dataset has been created from publicly available, predominantly in situ data from a number of online platforms. After finding and accessing the data, they were amalgamated into a single project-wide standard, ensuring their interoperability. The dataset was then uploaded to PANGAEA so that it itself can be findable and reusable into the future. The focus of the data collection was driven by the key drivers of change in Arctic fjords identified in a companion review paper. This dataset is a work in progress and as new datasets containing the relevant key drivers are released they will be added to an updated version planned for late 2024. This dataset is a compilation of many smaller datasets. It currently contains ~1400 references. |
format |
Other/Unknown Material |
author |
Schlegel, Robert William Gattuso, Jean-Pierre |
author_facet |
Schlegel, Robert William Gattuso, Jean-Pierre |
author_sort |
Schlegel, Robert William |
title |
A Dataset for Investigating Socio-ecological Changes in Arctic Fjords |
title_short |
A Dataset for Investigating Socio-ecological Changes in Arctic Fjords |
title_full |
A Dataset for Investigating Socio-ecological Changes in Arctic Fjords |
title_fullStr |
A Dataset for Investigating Socio-ecological Changes in Arctic Fjords |
title_full_unstemmed |
A Dataset for Investigating Socio-ecological Changes in Arctic Fjords |
title_sort |
dataset for investigating socio-ecological changes in arctic fjords |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://doi.org/10.5281/zenodo.7472376 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://zenodo.org/communities/face-it https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.7472375 https://doi.org/10.5281/zenodo.7472376 oai:zenodo.org:7472376 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.747237610.5281/zenodo.7472375 |
_version_ |
1809758276621959168 |