The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data
Radiolarians (holoplanktonic protozoa) preserved in marine sediments are commonly used as palaeoclimate proxies for reconstructing past Southern Ocean environments. Generating reconstructions of past climate based on microfossil abundances, such as radiolarians, requires a spatially and environmenta...
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ftdoajarticles:oai:doaj.org/article:0156599bd6c44fc09f5f571220e9180b 2023-05-15T18:23:49+02:00 The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data K.-A. Lawler G. Cortese M. Civel-Mazens H. Bostock X. Crosta A. Leventer V. Lowe J. Rogers L. K. Armand 2021-11-01T00:00:00Z https://doi.org/10.5194/essd-13-5441-2021 https://doaj.org/article/0156599bd6c44fc09f5f571220e9180b EN eng Copernicus Publications https://essd.copernicus.org/articles/13/5441/2021/essd-13-5441-2021.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-13-5441-2021 1866-3508 1866-3516 https://doaj.org/article/0156599bd6c44fc09f5f571220e9180b Earth System Science Data, Vol 13, Pp 5441-5453 (2021) Environmental sciences GE1-350 Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.5194/essd-13-5441-2021 2022-12-31T11:15:34Z Radiolarians (holoplanktonic protozoa) preserved in marine sediments are commonly used as palaeoclimate proxies for reconstructing past Southern Ocean environments. Generating reconstructions of past climate based on microfossil abundances, such as radiolarians, requires a spatially and environmentally comprehensive reference dataset of modern census counts. The Southern Ocean Radiolarian (SO-RAD) dataset includes census counts for 238 radiolarian taxa from 228 surface sediment samples located in the Atlantic, Indian, and southwest Pacific sectors of the Southern Ocean. This compilation is the largest radiolarian census dataset derived from surface sediment samples in the Southern Ocean. The SO-RAD dataset may be used as a reference dataset for palaeoceanographic reconstructions, or for studying modern radiolarian biogeography and species diversity. As well as describing the data collection and collation, we include recommendations and guidelines for cleaning and subsetting the data for users unfamiliar with the procedures typically used by the radiolarian community. The SO-RAD dataset is available to download from https://doi.org/10.1594/PANGAEA.929903 (Lawler et al., 2021). Article in Journal/Newspaper Southern Ocean Directory of Open Access Journals: DOAJ Articles Indian Pacific Southern Ocean Earth System Science Data 13 11 5441 5453 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 K.-A. Lawler G. Cortese M. Civel-Mazens H. Bostock X. Crosta A. Leventer V. Lowe J. Rogers L. K. Armand The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Radiolarians (holoplanktonic protozoa) preserved in marine sediments are commonly used as palaeoclimate proxies for reconstructing past Southern Ocean environments. Generating reconstructions of past climate based on microfossil abundances, such as radiolarians, requires a spatially and environmentally comprehensive reference dataset of modern census counts. The Southern Ocean Radiolarian (SO-RAD) dataset includes census counts for 238 radiolarian taxa from 228 surface sediment samples located in the Atlantic, Indian, and southwest Pacific sectors of the Southern Ocean. This compilation is the largest radiolarian census dataset derived from surface sediment samples in the Southern Ocean. The SO-RAD dataset may be used as a reference dataset for palaeoceanographic reconstructions, or for studying modern radiolarian biogeography and species diversity. As well as describing the data collection and collation, we include recommendations and guidelines for cleaning and subsetting the data for users unfamiliar with the procedures typically used by the radiolarian community. The SO-RAD dataset is available to download from https://doi.org/10.1594/PANGAEA.929903 (Lawler et al., 2021). |
format |
Article in Journal/Newspaper |
author |
K.-A. Lawler G. Cortese M. Civel-Mazens H. Bostock X. Crosta A. Leventer V. Lowe J. Rogers L. K. Armand |
author_facet |
K.-A. Lawler G. Cortese M. Civel-Mazens H. Bostock X. Crosta A. Leventer V. Lowe J. Rogers L. K. Armand |
author_sort |
K.-A. Lawler |
title |
The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data |
title_short |
The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data |
title_full |
The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data |
title_fullStr |
The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data |
title_full_unstemmed |
The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data |
title_sort |
southern ocean radiolarian (so-rad) dataset: a new compilation of modern radiolarian census data |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/essd-13-5441-2021 https://doaj.org/article/0156599bd6c44fc09f5f571220e9180b |
geographic |
Indian Pacific Southern Ocean |
geographic_facet |
Indian Pacific Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Earth System Science Data, Vol 13, Pp 5441-5453 (2021) |
op_relation |
https://essd.copernicus.org/articles/13/5441/2021/essd-13-5441-2021.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-13-5441-2021 1866-3508 1866-3516 https://doaj.org/article/0156599bd6c44fc09f5f571220e9180b |
op_doi |
https://doi.org/10.5194/essd-13-5441-2021 |
container_title |
Earth System Science Data |
container_volume |
13 |
container_issue |
11 |
container_start_page |
5441 |
op_container_end_page |
5453 |
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1766203947777785856 |