42cb66b9-f515-41bc-8b9a-6dc9cb0e5624 eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2021-12-17 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Acoustic backscatter and environmental data for the Scotia Sea, Southern Ocean 2006, 2008, 2009, 2015, 2016 and 2017 2021-12-17 creation 2021-12-17 revision 2021-12-17 publication 2021-12-17 released 1.0 https://doi.org/10.5285/42cb66b9-f515-41bc-8b9a-6dc9cb0e5624 doi GB/NERC/BAS/PDC/01594 https://data.bas.ac.uk/ NE/L002434/1 award Please cite this item as: Dornan, T., & Fielding, S. (2021). Acoustic backscatter and environmental data for the Scotia Sea, Southern Ocean 2006, 2008, 2009, 2015, 2016 and 2017 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/42cb66b9-f515-41bc-8b9a-6dc9cb0e5624 This is data set held in two csv files, one DATA file contains the data and an accompanying NOTES file that provides additional detail on abbreviations. It contains processed acoustic backscatter (NASC) data that is coupled with environmental data. Acoustic backscatter data is from 13 acoustic transects spanning the Scotia Sea and major Southern Ocean fronts, obtained during cruises JR161, JR177, JR200, JR15002, JR15004 and JR16003 (2006-2017). Data were collected using a Simrad EK60 echo sounder at 38 kHz. The EK60 was run continuously between Stanley (Falkland Islands) and Signy (South Orkney Islands), Stanley and South Georgia. Environmental data includes: sea surface temperature, bathymetry, geopotential height, geostrophic current speeds, sea ice concentration, sea ice zone, time of day (day/night), sea temperature at 200m, distance to coast, net primary productivity, and hours of daylight. Environmental data are compiled from external data sources. Funding was provided by the NERC grants NE/L002434/1 and bas010017. No credit. completed Dornan, Tracey British Antarctic Survey Researcher author Fielding, Sophie British Antarctic Survey Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Oceans > Marine Environment Monitoring EARTH SCIENCE > Oceans > Ocean Acoustics theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Acoustic backscatter EK60 Scotia Sea Southern Ocean oceanographic data theme Scotia Sea, South Orkney Islands, South Georgia Southern Ocean place Oceanographic geographical features theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions Data released under Open Government Licence V3.0: otherRestrictions No restrictions apply. url url crossReference url url crossReference doi doi crossReference url url crossReference url url crossReference url url crossReference url url crossReference url url crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url crossReference url url crossReference url url crossReference textTable eng utf8 environment oceans -60.67 -38.52 -60.47 -49.99 2006-10-25 2017-01-08 It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor text/plain text/csv bytes 3479552 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=42cb66b9-f515-41bc-8b9a-6dc9cb0e5624 WWW:LINK-1.0-http--link Get Data Download data download bytes 3479552 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=42cb66b9-f515-41bc-8b9a-6dc9cb0e5624 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Detailed acoustic surveys for mesopelagic fish were conducted in the Scotia Sea as part of the British Antarctic Survey's Discovery 2010 programme, as described in Collins et al. (2012). Follow up investigations were carried out using the same methods during JR15004 and JR16003. We used an EK60 echosounder operating at 38 kHz to collect acoustic data, pinging at a rate of 0.3 - 1 Hz. Nautical Area Scattering Coefficient (NASC, m2 nmi-2) a linear measure of acoustic backscatter, was integrated between depths of 17 m to 1000 m or maximum available, in 1 km distance sampling units. Acoustic data was coupled with environmental data from weekly or monthly climatologies. All environmental data was extracted corresponding to the same date that the acoustic sample was collected or the nearest prior date (for weekly or monthly climatologies), by latitude and longitude, with the exception of net primary productivity, which was extracted from a mean climatology spanning Jan-Mar 2005-2017, as this was being used to characterise regions of high and low productivity. The environmental data were compiled from external data sources using r package raster to re-project NPP and Sea Ice data to WGS84 using bilinear interpolation. Geostrophic current speed was calculated from eastward and northward velocity data. Environmental data includes: sea surface temperature (°C), bathymetry (m), geopotential height (m), geostrophic current speeds (ms-1), sea ice concentration (%), sea ice zone, time of day (day/night), sea temperature at 200m (°C), distance to coast (km), net primary productivity (mgC m-2 d-1), and hours of daylight. Data collection: Acoustic Data collected using a Simrad EK60 echo sounder Acoustic Data processed using Echoview version 8.0.95.32073 Analysis in R version 3.5.3 Data quality: The acoustic data was calibrated at least once per field season using standard calibration spheres and methods (Demer et al. 2015). The data was cleaned in Echoview to remove bad data regions, including false bottom echoes, seabed, surface near-field, intermittent noise and attenuated signal (all set to 'no-data'). Data was integrated in 1km distance by 10m depth cells. Further removal of data in water shallower than 1000m was carried out in R version 3.5.3 and the top 1% of high NASC values were manually scrutinised to check for any residual noise bias. Less than 10% of high NASC values were found to be attributable to noise and these were excluded from further analysis. For environmental data coupled with NASC, Environmental data was extracted at the location of NASC using r package raster (Hijmans, 2018). The majority of climatology data was already in WGS84 projection, with the exception of Sea Icea and NPP data which were reprojected rasterProject() funtion with bilinear interpolation. asNeeded completed