Lawler, Kelly-Anne; Cortese, Giuseppe; Civel-Mazens, Matthieu; Bostock, Helen C; Crosta, Xavier; Leventer, Amy; Lowe, Vikki; Rogers, John; Armand, Leanne K (2021): Southern Ocean RADiolarian dataset (SO-RAD) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.929903
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Abstract:
Radiolarians (holoplanktonic Protozoa) found in marine sediments are commonly used in Southern Ocean as palaeoclimate proxies. Generating such reconstructions of past climate based on radiolarian abundances requires a spatially and environmentally comprehensive reference dataset of modern radiolarian census counts. The Southern Ocean RADiolarian (SO-RAD) dataset includes census counts for 237 radiolarian taxa from 228 surface sediment samples located in the Atlantic, Indian and South-west 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.
Supplement to:
Lawler, Kelly-Anne; Cortese, Giuseppe; Civel-Mazens, Matthieu; Bostock, Helen C; Crosta, Xavier; Leventer, Amy; Lowe, Vikki; Rogers, John; Armand, Leanne K (2021): The Southern Ocean Radiolarian (SO-RAD) dataset: a new compilation of modern radiolarian census data. Earth System Science Data, 13(11), 5441-5453, https://doi.org/10.5194/essd-13-5441-2021
Related to:
Abelmann, Andrea; Brathauer, Uta; Gersonde, Rainer; Sieger, Rainer; Zielinski, Ulrich (1999): Radiolarian-based transfer function for the estimation of sea surface temperatures in the Southern Ocean (Atlantic sector). Paleoceanography, 14(3), 410-421, https://doi.org/10.1029/1998PA900024
Cortese, Giuseppe; Abelmann, Andrea (2002): Radiolarian-based paleotemperatures during the last 160 kyrs at ODP Site 1089 (Southern Ocean, Atlantic Sector). Palaeogeography, Palaeoclimatology, Palaeoecology, 182(3-4), 259-286, https://doi.org/10.1016/S0031-0182(01)00499-0
Cortese, Giuseppe; Prebble, Joseph G (2015): A radiolarian-based modern analogue dataset for palaeoenvironmental reconstructions in the southwest Pacific. Marine Micropaleontology, 118, 34-49, https://doi.org/10.1016/j.marmicro.2015.05.002
Rogers, John; De Deckker, Patrick (2007): Radiolaria as a reflection of environmental conditions in the eastern and southern sectors of the Indian Ocean: A new statistical approach. Marine Micropaleontology, 65(3-4), 137-162, https://doi.org/10.1016/j.marmicro.2007.07.001
Coverage:
Median Latitude: -46.735941 * Median Longitude: 155.539301 * South-bound Latitude: -78.430000 * West-bound Longitude: 1.160000 * North-bound Latitude: -11.510000 * East-bound Longitude: -0.480000
Date/Time Start: 1978-12-17T00:00:00 * Date/Time End: 2012-02-13T00:00:00
Minimum DEPTH, sediment/rock: 0.000 m * Maximum DEPTH, sediment/rock: 0.165 m
Event(s):
90-587_Site * Latitude: -21.184700 * Longitude: 161.333200 * Date/Time: 1982-12-03T00:00:00 * Elevation: -1101.0 m * Penetration: 1.47 m * Recovery: 0.89 m * Location: South Pacific/Coral Sea/BANK * Campaign: Leg90 * Basis: Glomar Challenger * Method/Device: Composite Core (COMPCORE) * Comment: 13 cores; 108.6 m cored; 38.4 m drilled; 82% recovery
90-588B * Latitude: -26.111700 * Longitude: 161.226700 * Date/Time: 1982-12-06T00:00:00 * Elevation: -1533.0 m * Penetration: 277.4 m * Recovery: 255.4 m * Location: South Pacific/Tasman Sea/CONT RISE * Campaign: Leg90 * Basis: Glomar Challenger * Method/Device: Drilling/drill rig (DRILL) * Comment: 31 cores; 277.2 m cored; 0 m drilled; 92.1 % recovery
90-590B * Latitude: -31.167000 * Longitude: 163.358500 * Date/Time: 1982-12-15T00:00:00 * Elevation: -1299.0 m * Penetration: 499.1 m * Recovery: 464.6 m * Location: South Pacific/Tasman Sea/CONT RISE * Campaign: Leg90 * Basis: Glomar Challenger * Method/Device: Drilling/drill rig (DRILL) * Comment: 53 cores; 499.1 m cored; 0 m drilled; 93.1 % recovery
Parameter(s):
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
56032 data points
Download Data
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