a5cbfbe1-6fa6-44cf-96fe-db92c32b69d0 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 2023-03-27 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 Processing and analysis of Arctic Calanus occurrence records from OBIS and GBIF databases 2023-03-27 creation 2023-03-27 revision 2023-03-27 publication 2023-03-27 released 1.0 https://doi.org/10.5285/a5cbfbe1-6fa6-44cf-96fe-db92c32b69d0 doi GB/NERC/BAS/PDC/01723 https://data.bas.ac.uk/ NE/P006213/1 award NE/R012687/1 award NE/W004933/1 award Please cite this item as: Freer, J., & Tarling, G. (2023). Processing and analysis of Arctic Calanus occurrence records from OBIS and GBIF databases (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/a5cbfbe1-6fa6-44cf-96fe-db92c32b69d0 This dataset contains quality-controlled georeferenced occurrence records of three Arctic Calanus species (Calanus finmarchicus, C. glacialis and C. hyperboreus), downloaded from the Ocean Biodiversity Information System (OBIS) and the Global Biodiversity Information Facility (GBIF) databases. Records span about 150 years of sampling (1870-2017), are located between 30 and 90 degrees north, and are distributed between the surface and 5000m deep. Physical (bathymetry) and environmental (temperature and sea-ice concentration) parameters are matched to each occurrence record. An html file provides the annotated source code for the data processing, analyses and figures produced for the publication: Freer JJ and Tarling GA (2023) Assessing key influences on the distribution and life-history of Arctic and boreal Calanus: Are online databases up to the challenge? Front. Mar. Sci. 10:908112. This work was funded by DIAPOD (NE/P006213/1) and CHASE (NE/R012687/1) projects as part of the Changing Arctic Ocean Programme, with the former funded by the UKRI Natural Environment Research Council (NERC) and the latter, jointly by NERC and the German Federal Ministry of Education and Research (BMBF). Further support was provided by BIOPOLE National Capability Multicentre Round 2 funding from the Natural Environment Research Council (NE/W004933/1). No credit. completed Freer, Jennifer J. British Antarctic Survey Researcher author Tarling, Geraint A. 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 > Biosphere > Ecological Dynamics > Biodiversity EARTH SCIENCE > Oceans > Marine Environment Monitoring 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 GBIF OBIS sampling bias winter zooplankton theme Arctic North Atlantic Ocean place Habitats and biotopes 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 are released under the Open Government Licence V3.0: otherRestrictions None. url url crossReference url url crossReference url url crossReference url url crossReference url url crossReference doi doi crossReference url url crossReference url url crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url crossReference url url crossReference textTable eng utf8 biota environment oceans -180.0 180.0 30.0 90.0 1870-01-01 2017-12-31 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/html application/octet-stream text/plain text/csv bytes 260046848 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=a5cbfbe1-6fa6-44cf-96fe-db92c32b69d0 WWW:LINK-1.0-http--link Get Data Download data download bytes 260046848 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=a5cbfbe1-6fa6-44cf-96fe-db92c32b69d0 WWW:LINK-1.0-http--link Get Data Download data download bytes 260046848 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=a5cbfbe1-6fa6-44cf-96fe-db92c32b69d0 WWW:LINK-1.0-http--link Get Data Download data download bytes 260046848 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=a5cbfbe1-6fa6-44cf-96fe-db92c32b69d0 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Data from OBIS were accessed on 12-01-2023 and data from GBIF were accessed on 13-01-2023. To maintain consistency, all encounters were treated as presence only, i.e. no weighting was given to records with information on abundance, biomass or number of individuals and no absence records were included. Raw downloaded data and the contributing dataset citations are provided for both databases (see Section "Related datasets"). Subsequent data processing and cleaning steps are outlined in section "Quality". All cleaned records, regardless of dataset origin, were matched to seafloor bathymetry using a 0.25 x 0.25 decimal degree resolution raster grid (Becker et al., 2009). Cleaned records from OBIS had fields for maximum and minimum collection depth. These data were matched to vertically resolved temperature data from the 2018 World Ocean Atlas (Locarnini et al., 2018) and seasonal sea-ice concentration data from the National Snow and Ice Data Centre (Walsh et al., 2019). Both temperature and sea ice grids had a resolution of 0.25 x 0.25 decimal degrees. Code_frontiers_2023.html (22 MB) - HTML output from Quarto (implemented in R) that provides the annotated source code to reproduce the data cleaning, analysis and figures from this dataset has been included in the publication. Data collection: All analyses were carried out in R version 4.2.1. Data quality: Data processing steps carried out on the raw downloaded files are outlined in detail in the html file of annotated source code. In brief, records were excluded if they were erroneously located on land, in the Pacific sector or in the southern hemisphere; were not identified to species level; had missing identifiers for month or year of collection. Metadata fields for "sampling protocol" ad "lifestage" were cleaned by re-categorising entries into a condensed set of inputs. Duplicate records were removed as defined by records that had the following identical identifiers: species, longitude, latitude, year, month, day, minimum and maximum collection depth (OBIS), average collection depth (GBIF), life-stage. Lastly, cleaned OBIS and GBIF data were combined into a single dataset and duplicate occurrences between databases were removed using the same identical identifiers listed above. Records where average sample collection depth was greater than bathymetric depth were flagged and removed when creating appropriate figures. asNeeded completed