6575cd7a-cfba-4820-9fa6-257161b4d24b 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 2022-11-17 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 Chronological, geochemical and sedimentological data from a lake sediment record extracted from Lake L5 (Matias Lake) on Potter Peninsula, South Shetland Islands in 2011. 2022-11-17 creation 2022-11-17 revision 2022-11-17 publication 2022-11-17 released 1.0 https://doi.org/10.5285/6575cd7a-cfba-4820-9fa6-257161b4d24b doi GB/NERC/BAS/PDC/01684 https://data.bas.ac.uk/ Please cite this item as: Roberts, S., Pearson, E., Czalbowski, T., Davies, S., Grosjean, M., Arcusa, S., & Perren, B. (2022). Chronological, geochemical and sedimentological data from a lake sediment record extracted from Lake L5 (Matias Lake) on Potter Peninsula, South Shetland Islands in 2011. (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/6575cd7a-cfba-4820-9fa6-257161b4d24b The dataset comprises of lake site photos, sediment data and multiproxy data from Lake L5 (aka Matias Lake), a small lake basin at 62.2450 S, 58.6655 W on Potter Peninsula, King George Island, South Shetland Islands. The data have been used to constrain deglaciation and glacier dynamics on Potter Peninsula. Data for the Lake L5 (Matias Lake) sediment record consist of downcore measurements of chronology, geochemistry, and sedimentology proxy data collected from the depocentre in November 2011. Data collected in this study were funded by: Centro de Investigaciones en Ciencias de la Tierra (CICTERRA), the Direccion Nacional del Antartico/Instituto Antartico Argentino (DNA/IAA) in the framework of the Project PICTA, 2011 - 0102, IAA "Geomorfologia y Geologia Glaciar del Archipielago James Ross e Islas Shetland del Sur, Sector Norte de la Peninsula Antartica"; the Alfred Wegener Institute (AWI) research program Polar regions and Coasts in a changing Earth System (PACES II); IMCONet (FP7 IRSES, action no. 318718); the Natural Environment Research Council (NERC/BAS-CGS Grant no.81); the NERC/BAS science programmes CACHE-PEP: Natural climate variability - extending the Americas palaeoclimate transect through the Antarctic Peninsula to the pole and GRADES-QWAD: Quaternary West Antarctic Deglaciations. We thank the crews of the Argentine research station "Carlini" and the adjoined German Dallmann-Labor (AWI) Laboratory, the Uruguayan research station "Artigas", the Russian Bellingshausen Station, the Chinese Great Wall Station, Base Presidente Eduardo Frei Montalva, the Brazilian Navy Almirante Maximiano, the UK Navy HMS Endurance and NERC/BAS James Clark Ross for logistical support during the 2006, 2011, 2014 and 2015 field seasons. No credit. completed Roberts, Stephen British Antarctic Survey Researcher author Pearson, Emma Newcastle University Researcher author Czalbowski, Tamara Instituto Antartico Argentino (I.A.A.) Researcher author Davies, Sarah Aberystwyth University Researcher author Grosjean, Martin University of Bern Researcher author Arcusa, Stephanie University of Bern Researcher author Perren, Bianca 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 > Paleoclimate > Land Records > Radiocarbon EARTH SCIENCE > Paleoclimate > Land Records > Stratigraphic Sequence EARTH SCIENCE > Solid Earth > Geomorphology > Glacial Landforms/Processes 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 Deglaciation South Shetland Islands geomorphological mapping glacial readvance radiocarbon dating stratigraphy theme Potter Peninsula South Shetland Islands place Geology theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license This dataset is supplied under the Open Government Licence v3.0: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ otherRestrictions No restrictions apply. url url crossReference url url crossReference textTable eng utf8 geoscientificInformation -58.6655 -58.6655 -62.245 -62.245 2011-11-01 2011-11-30 30.0 30.0 urn:ogc:def:crs:EPSG::5714 MSL height Not specific to any location or epoch. Hydrography. 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/csv image/jpeg bytes 659554304 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=6575cd7a-cfba-4820-9fa6-257161b4d24b WWW:LINK-1.0-http--link Get Data Download data download bytes 659554304 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=6575cd7a-cfba-4820-9fa6-257161b4d24b WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Core collection Sediment cores were collected using a Livingston piston corer from the deepest point(~5 m of water depth) in Matias Lake (L5: 62.2450°S, 58.6655°W, ~70-75 m a.s.l., 20-30 cm total recovered sediment depth). We extracted 13 short cores from the depocentre in Matias Lake and along a surface transect towards Rudy Lake. Sediment recovery depth ranged from 20 and 60 cm before encountering an impenetrable diamicton layer. Data from cores MAT1 (L5-H1) (27 cm) and MAT2 (L5-H2) (29 cm) extracted from the deepest part of Matias Lake (5.8 m; 62° 14' 42.054"S, 58° 39' 53.82"W) are included in this dataset. Chronology Obtaining basal radiocarbon ages from basal and bulk minerogenic sediments in the Matias Lake cores proved challenging due to a general lack of organic carbon. Pb-210 Cs-137 and Am-241 dating of the uppermost 10 cm of the lake sediment records was undertaken and dating model calculations followed standard procedures defined in Appleby and Oldfield (1978). Pb-210 age estimates were derived using the constant rate of supply (CRS) method (Appleby and Oldfield, 1978) and incorporated into Bayesian age-depth models. The Pb-210 Constant Rate of Supply (CRS) age model shows that the uppermost 10 cm have been deposited since c. 1850 CE, and the well-defined 137Cs peak at 5 cm depth is coherent with the Pb-210 age model. Geochemistry & Sedimentology Physical properties (gamma-ray density (GRD), magnetic susceptibility, fractional porosity, resistivity and impedance) were measured using Geotek® multi-sensor core logger (MSCL). Non-destructive ITRAXTM (Cox Analytical) micro-X-ray fluorescence (micro-XRF) and Bartington Magnetic Susceptibility High Resolution Surface Scanning Sensor (MS2E) measurements were undertaken at Aberystwyth University. Contiguous bulk, wet sediment geochemical Energy Dispersive XRF-CS (Energy Dispersive Spectroscopy) analysis was obtained using a chromium (Cr) X-ray tube (X-radiography image settings: 40 kV, 40 mA, 200 ms; XRF-CSCr settings: 30 kV, 40 mA, dwell time of 10 seconds, at 100 micrometers or 2 mm). Hyperspectral image (HSI) scanning was performed using the Specim Ltd. single core scanner (PFD-CL-65-V10E line scan camera, 400-1000 nm) according to the protocol of Butz et al. (2015). The spatial resolution (pixel size) was set at 69 micrometers x 69 micrometers and the spectral resolution is 2.8 nm sampled at an interval of 0.78 nm. Raw data were normalised with a BaSO4 reference and spectral endmembers were calculated using the software ENVI 5.03. Quantitative estimates of pigments were obtained using the Relative Absorption Band Depth (RABD) method, which uses ratios and normalised reflectance data from distinct wavelengths. The spectral index RABD660;670 (RABD at 660-670 nm) was calculated from the continuum between 590 and 730 nm (Butz et al., 2015) with I-band wavelengths between 660 and 670 nm using equations RABD660;670 = (6*R590+7*R730)/13/Rmin(660;670) and RABD660;670 [I-Band] = (6*R590+7*R730)/13/ Rmin(660;670)/Rmean (Rein and Sirocko, 2002). Additional statistical analysis was undertaken, and figures constructed, using R v. 4.1.0/RStudio v. 1.4.1717 (primarily packages Tidyverse, ggplot2, Vegan, Rioja, Ggally v. 2.1.2, RBacon, Rcarbon, Bchron), Sigmaplot v. 14.0, C2 (Juggins, 2007), MATLAB v. R2021a, with final layouts achieved in Adobe Illustrator v. 26.2.1 or CorelDRAW v. 2020. Code, data, all packages used, and package references can be found at: https://github.com/stever60/Potter_Peninsula Data collection: Chronology Pb-210 Cs-137 and Am-241 dating of the uppermost 10 cm of the lake sediment records was undertaken on a well-type gamma spectrometry (Ge-detector, GWC 2522-7500 SL, Canberra Industries Inc., USA) and processed with GENIE 2000 3.0 (Canberra Industries Inc., USA). Geochemistry & Sedimentology ITRAX XRF core scanner fitted with a Molybdenum (Mo) anode X-ray tube and a Bartington Magnetic Susceptibility High Resolution Surface Scanning Sensor (MS2E) Geotek multi-sensor core logger (MSCL) Hyperspectral image (HSI) scanning was performed using the Specim Ltd. single core scanner (PFD-CL-65-V10E line scan camera, 400?1000 nm) according to the protocol of Butz et al. (2015). GEOTEK MSCL data were measured at 2 mm intervals Geochemical XRF-Core scanning data were measured at 100 μm and 2 mm contiguous intervals. SPECIM hyperspectral data were measured at 69 μm intervals Data quality: Chronology Pb-210 age estimates were derived using the constant rate of supply (CRS) method (Appleby and Oldfield, 1978) and incorporated into Bayesian age-depth models. Geochemistry & Sedimentology ITRAX-XRF Raw count per second (cps) data were analysed using the Q-spec software v8.6.0 (Cox Analytical), with MSE values minimised to optimise the fit of 'as measured' spectra to a modelled spectrum. Data are presented as percentages of the Total Scatter Normalised ratio sum (%sigmaTSN or, more simply, %TSN, which are equivalent to percentages of the cps sum, or %cps) to account for downcore variations in count rate, density, water and organic content. Data less than mean minus two-sigma kcps (mainly due to gaps in the core) and greater than MSE plus two-sigma (representing a poor fit between measured to modelled spectra) were filtered before analysis.'Noisy' elements were eliminated by comparing cps and using %TSN thresholds of >0.1% mean and >0.5% maximum , and by examining autocorrelation profiles for each element. Elements are presented as natural log (log n or Ln) ratios. asNeeded completed