4c8cfe1b-f426-4cc7-819b-236d1058ea0d 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 2024-11-11 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 3D density and susceptibility distribution model derived from 2024 gravity and magnetic surveys of Marguerite Bay, West Antarctica 2024-11-11 creation 2024-11-11 revision 2024-11-11 publication 2024-11-11 released 1.0 https://doi.org/10.5285/4c8cfe1b-f426-4cc7-819b-236d1058ea0d doi GB/NERC/BAS/PDC/01943 https://data.bas.ac.uk/ Please cite this item as: Lowe, M., & Jordan, T. (2024). 3D density and susceptibility distribution model derived from 2024 gravity and magnetic surveys of Marguerite Bay, West Antarctica (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/4c8cfe1b-f426-4cc7-819b-236d1058ea0d We present a 3D crustal model of density and susceptibility distribution in Marguerite Bay, west Antarctica. The inversion is based on airborne gravity and magnetic data collected with a Windracers Ultra UAV (2023/2024 Antarctic season) with a line spacing of 2 km and a ground clearness of 500m. The inverted densities and susceptibilities allow us to contain and identify large scale 3D intrusion in Marguerite Bay. We provide a CSV file, which contains the coordinates, the depth and the inverted density and susceptibility distribution. This work was funded through "Protecting environments with unmanned aerial vehicle swarms" project number 10023377 as part of "Innovate UK Future flight challenge phase 3" No credit. completed Lowe, Maximilian British Antarctic Survey Researcher author Jordan, Tom 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 > Solid Earth > Geodetics/Gravity EARTH SCIENCE > Solid Earth > Geomagnetism EARTH SCIENCE > Solid Earth > Rocks/Minerals 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 gravity joint inversion magnetics rock density susceptibility distribution theme Marguerite Bay Antarctica place Geology 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 None url url crossReference doi doi crossReference doi doi crossReference doi doi dependency url url dependency textTable eng utf8 geoscientificInformation -69.41 -67.56 -68.25 -67.55 2024-02-09 2024-03-03 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 bytes 68157440 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=4c8cfe1b-f426-4cc7-819b-236d1058ea0d WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Crustal density and susceptibility distribution is inferred from "Variation of Information" joint inversion of airborne gravity and magnetic data. The inversion is carried out with the academic software JIF3D (https://sourceforge.net/projects/jif3d/) developed by Max Moorkamp. The density and susceptibility inversion model are discretised into meshes with equal horizontal cell sizes of 250m. The vertical cell size is 100m at the surface. The vertical cell size increases with depth by a factor 1.1 for each cell. Increasing vertical cell size with depth is introduced to account for decreasing resolution with increasing distance to the source in potential field applications. Additionally, a padding area of 20% around the study area is added to avoid edge effects. The resulting inversion mesh contains 130 cells east-west direction, 314 cells in north-south direction and 33 cells in the z direction (20 km below sea level). To constrain the model geometry, the bedrock topography and Moho depths are used as model boundaries. All cells are set to a starting value of 0 kg m-3 and 0 SI for density and susceptibility, respectively. The density and susceptibility values are iteratively updated during the joint inversion process. Python code for preparing input data, setting up the inversion and plotting the results is openly accessible through zenodo.org (https://doi.org/10.5281/zenodo.14016296). Data collection: The data preparation and the inversion set up is performed in python (version 3.10.11). The inversion itself is carried out in the JIF3D software using a Linux terminal. Data quality: The mean residual between observed and inverted gravity and magnetic field is 0.1 mGal and -0.2 nT, with a standard deviation of 2.5 mGal and 3.5 nT. The data have a horizontal resolution of 250 m and a vertical resolution of 100 m, which increases with a factor of 1.1 with depth. asNeeded completed