Datasets for “Enhanced Arctic sea ice melting controlled by larger heat discharge of Mid-Holocene rivers”

The datasets include age models, grain-size parameters, and rare earth elements in cores LV77-36-1 and LV77-41-1, as well as observational data. The age models and sedimentation rate data are shown in sheet1 (“Age model”). The grain sizes and rare earth elements are shown in sheet2 (“Core records”)....

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Bibliographic Details
Main Author: Jiang Dong
Format: Dataset
Language:unknown
Published: Mendeley 2022
Subjects:
Arctic
Sea ice
Online Access:https://dx.doi.org/10.17632/pp6ntt6549.2
https://data.mendeley.com/datasets/pp6ntt6549/2
id ftdatacite:10.17632/pp6ntt6549.2
record_format openpolar
spelling ftdatacite:10.17632/pp6ntt6549.2 2023-05-15T14:42:43+02:00 Datasets for “Enhanced Arctic sea ice melting controlled by larger heat discharge of Mid-Holocene rivers” Jiang Dong 2022 https://dx.doi.org/10.17632/pp6ntt6549.2 https://data.mendeley.com/datasets/pp6ntt6549/2 unknown Mendeley https://dx.doi.org/10.17632/pp6ntt6549 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Dataset dataset 2022 ftdatacite https://doi.org/10.17632/pp6ntt6549.2 https://doi.org/10.17632/pp6ntt6549 2022-03-10T11:12:13Z The datasets include age models, grain-size parameters, and rare earth elements in cores LV77-36-1 and LV77-41-1, as well as observational data. The age models and sedimentation rate data are shown in sheet1 (“Age model”). The grain sizes and rare earth elements are shown in sheet2 (“Core records”). And the observational data of Siberian river basin (85–180° E, 45–75° N) precipitation, Siberian river runoff and temperature, and East Siberian Arctic Shelf (85–180° E, 65–80° N) and pan-Arctic (0–360° E, 45–90° N) surface air temperature anomalies in May are shown in sheet3 (Observational data). Dataset Arctic Sea ice 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 The datasets include age models, grain-size parameters, and rare earth elements in cores LV77-36-1 and LV77-41-1, as well as observational data. The age models and sedimentation rate data are shown in sheet1 (“Age model”). The grain sizes and rare earth elements are shown in sheet2 (“Core records”). And the observational data of Siberian river basin (85–180° E, 45–75° N) precipitation, Siberian river runoff and temperature, and East Siberian Arctic Shelf (85–180° E, 65–80° N) and pan-Arctic (0–360° E, 45–90° N) surface air temperature anomalies in May are shown in sheet3 (Observational data).
format Dataset
author Jiang Dong
spellingShingle Jiang Dong
Datasets for “Enhanced Arctic sea ice melting controlled by larger heat discharge of Mid-Holocene rivers”
author_facet Jiang Dong
author_sort Jiang Dong
title Datasets for “Enhanced Arctic sea ice melting controlled by larger heat discharge of Mid-Holocene rivers”
title_short Datasets for “Enhanced Arctic sea ice melting controlled by larger heat discharge of Mid-Holocene rivers”
title_full Datasets for “Enhanced Arctic sea ice melting controlled by larger heat discharge of Mid-Holocene rivers”
title_fullStr Datasets for “Enhanced Arctic sea ice melting controlled by larger heat discharge of Mid-Holocene rivers”
title_full_unstemmed Datasets for “Enhanced Arctic sea ice melting controlled by larger heat discharge of Mid-Holocene rivers”
title_sort datasets for “enhanced arctic sea ice melting controlled by larger heat discharge of mid-holocene rivers”
publisher Mendeley
publishDate 2022
url https://dx.doi.org/10.17632/pp6ntt6549.2
https://data.mendeley.com/datasets/pp6ntt6549/2
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_relation https://dx.doi.org/10.17632/pp6ntt6549
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.17632/pp6ntt6549.2
https://doi.org/10.17632/pp6ntt6549
_version_ 1766314447590129664

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