da355c78-3039-4a1d-b257-664e0f4dfd24 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 2017-05-08 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 Bacterial diversity on Gourlay Snowfield and Tuva Glacier, Signy Island, Antarctica, 2012-2013 2017-05-08 creation 2017-05-08 revision 2017-05-08 publication 2017-05-08 released 1 https://doi.org/10.5285/da355c78-3039-4a1d-b257-664e0f4dfd24 doi GB/NERC/BAS/PDC/00933 https://data.bas.ac.uk/ NE/H014446/1 award NE/H014802/1 award Please cite this item as: None Between December 2012 and March 2013, snow measurements were conducted in 3 snow pits at both Gourlay Snowfield and Tuva Glacier, Signy Island, to determine the bacterial diversity within the snowpacks. Sites are denoted 'TX' and 'GY', where 'X' and 'Y' are numbers representing one of nine snowpits in a grid at Tuva and Gourlay respectively. Snow samples of the 'top' layer were taken from the surface snow layer at a depth of 0 to 20 cm from the surface; snow samples of the middle 'mid' layer were taken from 20 cm to the bottom of the snow pit; and samples from the 'ice' layer were taken from the superimposed ice at the bottom of the snow pit. Snow and ice samples were collected from these pits and transported frozen to the UK for further analysis. Funding was provided by the NERC grants NE/H014446/1 and NE/H014802/1. No credit. completed Convey, Pete British Antarctic Survey Researcher author Sabacka, Marie University of Bristol Researcher author Hodson, Andy University of Sheffield Researcher author Pearce, David 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 > Microbiota Taxonomy > Bacteria EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glaciers EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Ice Sheets 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 Bacterial production Glacier Primary production Sequencing Signy Island Snow Superimposed ice theme Gourlay Snowfield and Tuva Glacier, Signy Island Antarctica place Habitats and biotopes Elevation 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 This data is governed by the NERC Data Policy: https://www.ukri.org/who-we-are/nerc/our-policies-and-standards/nerc-data-policy/ otherRestrictions This data is governed by the NERC data policy and supplied under Open Government Licence v.3 otherRestrictions Requests for data can be made via the UK Polar Data Centre (UK PDC) at BAS. url url crossReference url url crossReference url url crossReference url url crossReference url url largerWorkCitation textTable eng utf8 biota climatologyMeteorologyAtmosphere environment -45.644 -45.607 -60.726 -60.709 2012-12-01 2013-03-31 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 bytes 1 https://ramadda.data.bas.ac.uk/repository/entry/show/?entryid=da355c78-3039-4a1d-b257-664e0f4dfd24 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Melted snow and ice (500-1500 mL) was filtered onto 0.2µm Whatman® Nucleopore using a sterilized filtration unit. DNA was isolated from the filter using MoBio PowerWater® DNA isolation kit and following the instruction manuals. The highly variable V3/V4 region of the 16S rDNA was amplified with bacterial primers S-D-Bact-0341-b-S-17 forward and S-D-Bact-0785-a-A-21 reverse, with overhang illumina adaptor attached to the primer sequences, creating a single amplicon of ~460 bp (Klindworth et al., 2013). The reaction was carried out in 50 µl volumes containing 0.3 mg/ml Bovine Serum Albumin, 250 uM dNTPs, 0.5 uM of each primer, 0.02 U Phusion High-Fidelity DNA Polymerase (Finnzymes OY, Espoo, Finland) and 5x Phusion HF Buffer containing 1.5mM MgCl2. The following PCR conditions were used: initial denaturation at 95C for 5min, followed by 25 cycles consisting of denaturation (95oC for 40 s), annealing (55oC for 2 min) and extension (72oC for 1 min) and a final extension step at 72oC for 7 min. Samples were sequenced using illumina MiSeq platform at Liverpool Centre for Genomics Research and generated 2 x 300 bp overlapping pair-end reads. The 16S sequences were further processed using mothur (v. 1.35) pipeline (Schloss et al., 2009). Chimeric sequences were identified and removed using UCHIME (Edgar et al., 2011). Reads were clustered into operational taxonomical units (OTUs), based on at least 97% sequence similarity, and assigned taxonomical identification against SILVA bacterial database (Quast et al., 2013). Data collection: Instruments used include: PCR machine MiSeq illumina sequencer asNeeded completed