Dataset of concentrations of legacy persistent organic pollutants in fishes and human of the European Arctic Russia

The dataset presented in this Data descriptor supports “Persistent organic pollutants (POPs) in fish consumed by the indigenous peoples from Nenets Autonomous Okrug” (Lakhmanov et al., 2020).

Bibliographic Details
Main Author: Aksenov, Andrey
Format: Dataset
Language:unknown
Published: Zenodo 2022
Subjects:
persistent organic pollutants; polychlorinated biphenyls; organochlorine pesticides; fish; serum; Arctic.
Arctic
nenets
Nenets Autonomous Okrug
Online Access:https://dx.doi.org/10.5281/zenodo.5851667
https://zenodo.org/record/5851667
id ftdatacite:10.5281/zenodo.5851667
record_format openpolar
spelling ftdatacite:10.5281/zenodo.5851667 2023-05-15T14:37:35+02:00 Dataset of concentrations of legacy persistent organic pollutants in fishes and human of the European Arctic Russia Aksenov, Andrey 2022 https://dx.doi.org/10.5281/zenodo.5851667 https://zenodo.org/record/5851667 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5851666 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 persistent organic pollutants; polychlorinated biphenyls; organochlorine pesticides; fish; serum; Arctic. Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.5851667 https://doi.org/10.5281/zenodo.5851666 2022-02-09T12:33:49Z The dataset presented in this Data descriptor supports “Persistent organic pollutants (POPs) in fish consumed by the indigenous peoples from Nenets Autonomous Okrug” (Lakhmanov et al., 2020). Dataset Arctic nenets Nenets Autonomous Okrug 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
topic persistent organic pollutants; polychlorinated biphenyls; organochlorine pesticides; fish; serum; Arctic.
spellingShingle persistent organic pollutants; polychlorinated biphenyls; organochlorine pesticides; fish; serum; Arctic.
Aksenov, Andrey
Dataset of concentrations of legacy persistent organic pollutants in fishes and human of the European Arctic Russia
topic_facet persistent organic pollutants; polychlorinated biphenyls; organochlorine pesticides; fish; serum; Arctic.
description The dataset presented in this Data descriptor supports “Persistent organic pollutants (POPs) in fish consumed by the indigenous peoples from Nenets Autonomous Okrug” (Lakhmanov et al., 2020).
format Dataset
author Aksenov, Andrey
author_facet Aksenov, Andrey
author_sort Aksenov, Andrey
title Dataset of concentrations of legacy persistent organic pollutants in fishes and human of the European Arctic Russia
title_short Dataset of concentrations of legacy persistent organic pollutants in fishes and human of the European Arctic Russia
title_full Dataset of concentrations of legacy persistent organic pollutants in fishes and human of the European Arctic Russia
title_fullStr Dataset of concentrations of legacy persistent organic pollutants in fishes and human of the European Arctic Russia
title_full_unstemmed Dataset of concentrations of legacy persistent organic pollutants in fishes and human of the European Arctic Russia
title_sort dataset of concentrations of legacy persistent organic pollutants in fishes and human of the european arctic russia
publisher Zenodo
publishDate 2022
url https://dx.doi.org/10.5281/zenodo.5851667
https://zenodo.org/record/5851667
geographic Arctic
geographic_facet Arctic
genre Arctic
nenets
Nenets Autonomous Okrug
genre_facet Arctic
nenets
Nenets Autonomous Okrug
op_relation https://dx.doi.org/10.5281/zenodo.5851666
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.5851667
https://doi.org/10.5281/zenodo.5851666
_version_ 1766309813647572992

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