Accessing BCO-DMO data
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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
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| log in | [Foram EBSD datafiles] - Crystal orientation in subantarctic planktic foraminifera shells from EBSD analysis from collections in the sub-Antarctic south of South Africa between 1993 and 2016 (OCE-PRF: A submicron scale investigation of foraminifera-bound organic matter: implications for preservation and the paleo-δ15N proxy) | Here we present crystal orientation maps from the shells of planktic foraminifera, calcifying marine protists (G. inflata and G. truncatulinoides), from the Subantarctic ocean (net-tows) and underlying surface sediments (core-tops). The goal was to investigate post-mortem alteration of shells that might affect paleo-proxy interpretation (i.e., diagenesis). Living specimens were collected by S. Smart on VOY016 (Jul–Aug 2015) and VOY019 (Apr–May 2016) of the R/V S.A. Agulhas II in the Subantarctic south of South Africa (Smart et al., 2020). The core-top sample (PS2489-4; from 42.883 °S, 8.968 °E, water depth 3795 m) was collected on ANT-XI/2 of the R/V Polarstern in December 1993 (Gersonde et al., 2003), and access was provided by the Alfred Wegener Institute (AWI) and Max Planck Institute for Chemistry (MPIC), Germany. Shells were mounted in epoxy, cross-sectioned and thinly gold-coated for Scanning Electron Microscopy-Electron Backscatter Diffraction (SEM-EBSD) analysis by S. Smart at the Central Analytical Facility of The University of Alabama, USA, between 2021 and 2024. A. Pérez-Huerta provided EBSD training and mentoring, J. Goodwin and R. Holler provided technical support, and H. Stowell and S.E. Fawcett assisted with interpretation.\n\ncdm_data_type = Other\nVARIABLES:\nFolder_name (unitless)\nFile_name (unitless)\nSite (unitless)\ncruise_id (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Datetime_start_gmt, seconds since 1970-01-01T00:00:00Z)\nDateTime_End_GMT (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nSpecies (unitless)\nSpecimen (unitless)\nType (unitless)\nChamber (unitless)\nPhase (unitless)\n... (14 more variables)\n | BCO-DMO | bcodmo_dataset_964206_v1 | ||||||||||||
| log in | [Ocean Conditions at Seabird Colony Sites] - Seasonally and spatially averaged stratification mixed layer temperature and chlorophyll-a around Northern Hemisphere seabird colonies from 1993 to 2019 (Stratification impacts on seabirds project) (Global analysis of stratification impacts on seabirds through food resources ) | This dataset provides seasonal averages of mixed layer temperature, water column stratification, and mixed layer chlorophyll-a content for coastal marine regions around the world using the Marine Ecoregions of the World (MEOW) framework. The MEOW framework spatially partitions coastal marine areas into a hierarchical, nested structure based on biogeographic and environmental characteristics. Seven ecosystems are represented in the dataset: the Arctic, Cold Temperate Northeast Pacific, Cold Temperate Northwest Pacific, Warm Temperate Northeast Pacific, Hawaii, Northern European Seas, and Cold Temperate Northwest Atlantic, which are roughly equivalent to Large Marine Ecosystems. Environmental data was extracted for the domain of these seven ecosystems using the GLORYS12V1 global ocean reanalysis, which resolves monthly ocean conditions at 1/12-degree, daily resolution across 50 vertical depth levels. This state-of-the-art reanalysis assimilates historical data from multiple sources, including satellite observations and buoy data, and covers the period from 1993 to 2019. We extracted temperature, mixed layer depth, and salinity for the upper 200 m of the water column, which were used to calculate coastal stratification. Stratification was quantified using the Potential Energy Anomaly (PEA), a robust metric that measures the energy required to thoroughly mix the water column and reflects seasonal stratification patterns. All environmental variables were spatially averaged over corresponding ecoregions and temporally averaged over the pre-breeding and breeding seasons of seabird colonies within the ecoregion. By offering detailed classifications and environmental characterizations, this dataset serves as a valuable resource for analyzing regional oceanographic patterns and understanding how physical processes shape seabird populations and marine ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\nidnum (exp_id)\nyear (years)\nspp (unitless)\nScientificName_accepted (unitless)\nAphiaID (unitless)\nLSID (unitless)\nsite (unitless)\nsppsite (unitless)\n... (27 more variables)\n | BCO-DMO | bcodmo_dataset_985768_v1 |