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ZENODO
Dataset . 2023
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
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ZENODO
Dataset . 2023
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: ZENODO
Claim

hotspot_frontal_metrics_trends (v1.0): Jupyter notebooks (Python) used to compute trends of frontal metrics and reproduce figures

Research datakeyboard_double_arrow_right Dataset 04 Mar 2023 English Publisher:Zenodo
Authors: Yang, Kai; Amelie Meyer; Andrew Fischer; Pete Strutton;

doi: 10.5281/zenodo.7697497

hotspot_frontal_metrics_trends (v1.0): Jupyter notebooks (Python) used to compute trends of frontal metrics and reproduce figures

Abstract

This dataset includes the post-processed data and codes used for the paper titled "Global trends of fronts in a warming ocean and impacts on phytoplankton productivity" datasets.zip contains all files required for calculating trends of frontal metrics and reproducing all figures in Yang, K. et al. 2023: "Global trends of fronts in a warming ocean and impacts on phytoplankton productivity." The original data was obtained from NASA OB.DAAC (MODIS data), NASA SEDAC (world population data), and IMAS Metadata Catalogue (fishery landings data). A shapefile of global ocean warming hotspots provided by A. Hobday is also included. In the project that generated this data, we: 1) compute trends in frontal activity and chlorophyll in ocean warming hotspots; 2) classify global trends of frontal activity and chlorophyll based on commonality across oceanographic dynamical regions, and 3) explore implications for global fisheries.

Contact details: kai.yang@utas.edu.au or follow ORCID to get email addresses.

Related Organizations
Keywords

climate variability, ocean warming, marine hotspots, Oceanic fronts, Sea surface temperature fronts

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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