2021
DOI: 10.5194/essd-13-5441-2021
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The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data

Abstract: 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… Show more

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Cited by 7 publications
(12 citation statements)
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“…Regions within the SO are often referenced to in relation to the adjacent basin. There are three major geographical regions, the Atlantic Sector (65 • W to 20 • E), the Indian Sector (20-145 • E) and the Pacific Sector (145 • E to 65 • W) (Lawler et al, 2021). However, in this study, the Pacific is referred to as the Southwest Pacific (145 • E to 170 • W) due to the limited coverage of data in the Pacific sector within the SO-RAD (Lawler et al, 2021).…”
Section: Southern Ocean Settingmentioning
confidence: 99%
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“…Regions within the SO are often referenced to in relation to the adjacent basin. There are three major geographical regions, the Atlantic Sector (65 • W to 20 • E), the Indian Sector (20-145 • E) and the Pacific Sector (145 • E to 65 • W) (Lawler et al, 2021). However, in this study, the Pacific is referred to as the Southwest Pacific (145 • E to 170 • W) due to the limited coverage of data in the Pacific sector within the SO-RAD (Lawler et al, 2021).…”
Section: Southern Ocean Settingmentioning
confidence: 99%
“…The Southern Ocean Radiolarian Dataset (SO-RAD) is a collection of 228 Holocene surface sediment samples from the Atlantic, Indian and Southwest Pacific Sectors of the SO (Figure 1; Lawler et al, 2021). Site locations range from the STZ to the AZ.…”
Section: Southern Ocean Radiolarian Datasetmentioning
confidence: 99%
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