Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean ...
Data from "Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean." The data consists of: - Lagrangian simulation used for analysis. - Prior probability file for the sources. The repository with the code to run the...
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Utrecht University
2022
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Online Access: | https://dx.doi.org/10.24416/uu01-thf29m https://public.yoda.uu.nl/science/UU01/THF29M.html |
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ftdatacite:10.24416/uu01-thf29m 2024-09-15T18:36:02+00:00 Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean ... 2022 https://dx.doi.org/10.24416/uu01-thf29m https://public.yoda.uu.nl/science/UU01/THF29M.html en eng Utrecht University https://dx.doi.org/10.24416/UU01-90FO27 Creative Commons Attribution-ShareAlike 4.0 International Public License Open - freely retrievable info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-sa/4.0/legalcode Natural Sciences - Earth and related environmental sciences 1.5 yoda Research Data Dataset dataset 2022 ftdatacite https://doi.org/10.24416/uu01-thf29m10.24416/UU01-90FO27 2024-09-02T09:17:24Z Data from "Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean." The data consists of: - Lagrangian simulation used for analysis. - Prior probability file for the sources. The repository with the code to run the analysis can be found at https://github.com/OceanParcels/BayesianAnalysis_SouthAtlantic. ... Dataset South Atlantic Ocean DataCite |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
Natural Sciences - Earth and related environmental sciences 1.5 yoda |
spellingShingle |
Natural Sciences - Earth and related environmental sciences 1.5 yoda Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean ... |
topic_facet |
Natural Sciences - Earth and related environmental sciences 1.5 yoda |
description |
Data from "Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean." The data consists of: - Lagrangian simulation used for analysis. - Prior probability file for the sources. The repository with the code to run the analysis can be found at https://github.com/OceanParcels/BayesianAnalysis_SouthAtlantic. ... |
format |
Dataset |
title |
Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean ... |
title_short |
Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean ... |
title_full |
Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean ... |
title_fullStr |
Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean ... |
title_full_unstemmed |
Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean ... |
title_sort |
attribution of plastic sources using bayesian inference: application to river-sourced floating plastic in the south atlantic ocean ... |
publisher |
Utrecht University |
publishDate |
2022 |
url |
https://dx.doi.org/10.24416/uu01-thf29m https://public.yoda.uu.nl/science/UU01/THF29M.html |
genre |
South Atlantic Ocean |
genre_facet |
South Atlantic Ocean |
op_relation |
https://dx.doi.org/10.24416/UU01-90FO27 |
op_rights |
Creative Commons Attribution-ShareAlike 4.0 International Public License Open - freely retrievable info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-sa/4.0/legalcode |
op_doi |
https://doi.org/10.24416/uu01-thf29m10.24416/UU01-90FO27 |
_version_ |
1810479227086045184 |