1fa89ba7-a904-43a8-a98d-ff887584221a 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 2020-05-13 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 Diatom species and limnological data from 64 lakes on subantarctic Marion Island (2011) 2020-05-13 creation 2020-05-13 revision 2020-05-13 publication 2020-05-13 released 1.0 https://doi.org/10.5285/1fa89ba7-a904-43a8-a98d-ff887584221a doi GB/NERC/BAS/PDC/01331 https://data.bas.ac.uk/ Please cite this item as: Van Nieuwenhuyze, W. (2020). Diatom species and limnological data from 64 lakes on subantarctic Marion Island (2011) (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/1fa89ba7-a904-43a8-a98d-ff887584221a These data comprise diatom species frequency and environmental (geographic and limnological) data from 64 lakes on subantarctic Marion Island (46deg55'S, 37deg45'E) that were collected in April-May 2011. 143 diatom species were identified from the lake waters. Environmental data consist of Ca, K, Mg, Na, Fe, Al, Cl, SO4, NO3, NO2, NH4, P, HCO3, pH, conductivity, water temperature, and salinity measurements. Geographical data consist of Latitude, Longitude, Altitude, and geological substrate parameters. This work forms part of the thesis of van Nieuwenhuyze (2015). This work was funded by Belgian Science Policy Office project CCAMBIO (SD/BA/03) and a Research Foundation-Flanders travel bursary awarded to E. Verleyen. No credit. completed Van Nieuwenhuyze, Wim Ghent University 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 > Aquatic Habitat > Lakes EARTH SCIENCE > Biosphere > Microbiota Taxonomy > Diatoms EARTH SCIENCE > Biosphere > Ecological Dynamics 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 Marion Island Southern Africa place Habitats and biotopes 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 url url crossReference url url crossReference textTable eng utf8 biota environment 37.55 37.9 -47.0 -46.8 2011-04-01 2011-05-30 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 bytes 61440 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=1fa89ba7-a904-43a8-a98d-ff887584221a WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: A total of 64 samples from ponds and lakes were collected on Marion Island during April-May 2011. Altitude, latitude and longitude of the lakes were measured using a GARMIN GPSmap 62s. Water samples were collected from the side of the lakes for chemical analysis. Concentrations of ions and nutrients were measured by atomic absorption spectroscopy (Varian SpectraAA-600) following ISO methods (ISO 7980, 1986; ISO 9964, 1993) and ion chromatography (Dionex ICS-2000) following ISO 10304-1(2007). Temperature, Specific Conductivity, Salinity and pH were measured in the field using a YSI 600 meter. Surface-sediment samples for diatom analysis were taken by hand from the side of each lake at a water depth of c. 20 cm. Diatom samples were prepared following Van der Werff (1955). Organic matter was removed by adding 37% H2O2 heating to 80°C for about 1h, after which the reaction was completed by addition of KMnO4. Following digestion and centrifugation (3 times 10 minutes at 3500 rpm), the material was diluted with distilled water. Cleaned diatom valves were mounted in Naphrax® and counted and identified on random transects using a Zeiss Axioplan II light microscope with a magnification of 10x100x and immersion oil and an Olympus BX51 microscope equipped with Normarski optics. A minimum of c. 400 diatom valves were counted per slide. Samples MI23, MI57 and MI35 had very low diatom concentrations and counts were restricted to 200, 200 and 100 valves respectively. Diatom identification was based on Van de Vijver et al. (2002) together with more recent publications for a number of species (e.g., Flower et al. (2005); Kulikovskyi et al. (2010); Le Cohu (2005); Lowe et al. (2014); Romero and Van de Vijver (2011); Van de Vijver (2012); Van de Vijver and Cox (2013); Van de Vijver and Gremmen (2006); Van de Vijver et al. (2004, 2011, 2012a, 2012b, 2013); Witkowski et al. (2012); Ziderova et al. (2010, 2012)). Diatom species were expressed as relative abundances (% of total diatom valves per sample). Bedrock substrate was quantified as lava type for grey lava (1 for older weathered lavas) or black lava (0 for more recent, Holocene age). Marion_island_diatoms.csv contains diatom relative frequencies for each sample (%) collected on Marion Island. Sample IDs are given using the following naming convention: MIXX where MI refers to Marion Island and XX an arbitrary assigned lake number. Marion_island_environment.csv contains environment information (concentrations of ions and nutrients) as well as geographical data for each sample collected. Data collection: Instrumentation used included: GPS: GARMIN GPSmap 62s atomic absorption spectroscopy: Varian SpectraAA-600 ion chromatography: Dionex ICS-2000 conductivity, salinity, pH: YSI 600 meter microscopy: Zeiss Axioplan II light microscope, Olympus BX51 microscope equipped with Normarski optics. asNeeded completed