The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data

Abstract. 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 en...

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Bibliographic Details
Published in:Earth System Science Data
Main Authors: LAWLER, Kelly-Anne, CORTESE, Giuseppe, CIVEL-MAZENS, Matthieu, BOSTOCK, Helen, CROSTA, Xavier, LEVENTER, Amy, LOWE, Vikki, ROGERS, John, ARMAND, Leanne
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Planète et Univers [physics]
Southern Ocean
Pacific
Indian
Online Access:https://oskar-bordeaux.fr/handle/20.500.12278/188628
https://hdl.handle.net/20.500.12278/188628
https://doi.org/10.5194/essd-13-5441-2021
Description
Summary:Abstract. 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).

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