MATLAB script for grain images and grain-shape metrics of glacial sediments from Antarctica, Northwest Greenland, and the central Barents Sea ...
This project explores grain-scale signatures of subglacial sediment transport and subglacial hydrologic processes using grain shape and microtexture. We compare grain-shape distributions for grains from meltwater plume deposits to those of subglacial till and ice-proximal diamicton from the same gla...
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PANGAEA
2023
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Online Access: | https://dx.doi.org/10.1594/pangaea.961704 https://doi.pangaea.de/10.1594/PANGAEA.961704 |
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ftdatacite:10.1594/pangaea.961704 2024-03-31T07:48:49+00:00 MATLAB script for grain images and grain-shape metrics of glacial sediments from Antarctica, Northwest Greenland, and the central Barents Sea ... Lepp, Allison Simkins, Lauren M Anderson, John B O'Regan, Matt Winsborrow, Monica Smith, James A Hillenbrand, Claus-Dieter Wellner, Julia S Prothro, Lindsay O Podolskiy, Evgeny 2023 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.961704 https://doi.pangaea.de/10.1594/PANGAEA.961704 en eng PANGAEA https://dx.doi.org/10.5194/tc-2023-70 https://dx.doi.org/10.31223/x58934 https://dx.doi.org/10.5194/tc-10-1003-2016 https://dx.doi.org/10.1016/j.quascirev.2022.107460 https://dx.doi.org/10.1016/0033-5894(89)90008-2 https://dx.doi.org/10.1016/j.quascirev.2012.01.017 https://dx.doi.org/10.3389/feart.2022.863200 https://dx.doi.org/10.5194/tc-15-4073-2021 https://dx.doi.org/10.1016/j.margeo.2017.09.012 https://dx.doi.org/10.1111/j.1502-3885.2011.00244.x https://dx.doi.org/10.1038/ngeo3012 https://dx.doi.org/10.1038/nature20136 https://dx.doi.org/10.1016/j.quascirev.2013.11.021 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 grain micromorphology meltwater plume deposits sediment transport subglacial hydrology subglacial till Binary Object File content Rotary core drilling Gravity corer Piston corer Kasten corer Jumbo gravity core Percussion corer Grab Ice drill NBP19-02 Nathaniel B. Palmer dataset Dataset 2023 ftdatacite https://doi.org/10.1594/pangaea.96170410.5194/tc-2023-7010.31223/x5893410.5194/tc-10-1003-201610.1016/j.quascirev.2022.10746010.1016/0033-5894(89)90008-210.1016/j.quascirev.2012.01.01710.3389/feart.2022.86320010.5194/tc-15-4073-202110.1016/j.margeo.2017.0 2024-03-04T13:56:14Z This project explores grain-scale signatures of subglacial sediment transport and subglacial hydrologic processes using grain shape and microtexture. We compare grain-shape distributions for grains from meltwater plume deposits to those of subglacial till and ice-proximal diamicton from the same glacial setting. The study incorporates samples from marine sediment cores collected offshore of Ryder Glacier in northwest Greenland, in the central Barents Sea, and Antarctic samples from Marguerite Bay, offshore Thwaites and Pine Island glaciers, and in the western Ross Sea. This dataset contains a MATLAB script used to process grain images and calculate individual grain-shape metrics (including circularity, solidity, and eccentricity), and an Excel spreadsheet containing the grain-shape measurements. Grain images were collected in 2022-23 using a Bettersizer S3 Plus particle size and shape analyzer at the University of Virginia. ... : File descriptions: The excel file GrainShapeMetrics.xlsx contains the values of grain-shape measurements with each study region in a different tab, with the first tab called READ_ME providing details of the metrics, units, references to documentation, and explanations of each column header. The MATLAB script, GrainShapeAnalysis_Binarized.mlx, which is used to process grain images, convert images to binary, and calculate the measurements presented in the Excel file is also included. Sample metadata is available in the Excel file Events_Metadata.xlsx. ... Dataset Antarc* Antarctic Antarctica Barents Sea glacier Greenland Pine Island Ross Sea DataCite Metadata Store (German National Library of Science and Technology) Antarctic Barents Sea Ross Sea Greenland Marguerite ENVELOPE(141.378,141.378,-66.787,-66.787) Marguerite Bay ENVELOPE(-68.000,-68.000,-68.500,-68.500) Ryder ENVELOPE(-68.333,-68.333,-67.566,-67.566) Ryder Glacier ENVELOPE(-67.250,-67.250,-71.116,-71.116) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
grain micromorphology meltwater plume deposits sediment transport subglacial hydrology subglacial till Binary Object File content Rotary core drilling Gravity corer Piston corer Kasten corer Jumbo gravity core Percussion corer Grab Ice drill NBP19-02 Nathaniel B. Palmer |
spellingShingle |
grain micromorphology meltwater plume deposits sediment transport subglacial hydrology subglacial till Binary Object File content Rotary core drilling Gravity corer Piston corer Kasten corer Jumbo gravity core Percussion corer Grab Ice drill NBP19-02 Nathaniel B. Palmer Lepp, Allison Simkins, Lauren M Anderson, John B O'Regan, Matt Winsborrow, Monica Smith, James A Hillenbrand, Claus-Dieter Wellner, Julia S Prothro, Lindsay O Podolskiy, Evgeny MATLAB script for grain images and grain-shape metrics of glacial sediments from Antarctica, Northwest Greenland, and the central Barents Sea ... |
topic_facet |
grain micromorphology meltwater plume deposits sediment transport subglacial hydrology subglacial till Binary Object File content Rotary core drilling Gravity corer Piston corer Kasten corer Jumbo gravity core Percussion corer Grab Ice drill NBP19-02 Nathaniel B. Palmer |
description |
This project explores grain-scale signatures of subglacial sediment transport and subglacial hydrologic processes using grain shape and microtexture. We compare grain-shape distributions for grains from meltwater plume deposits to those of subglacial till and ice-proximal diamicton from the same glacial setting. The study incorporates samples from marine sediment cores collected offshore of Ryder Glacier in northwest Greenland, in the central Barents Sea, and Antarctic samples from Marguerite Bay, offshore Thwaites and Pine Island glaciers, and in the western Ross Sea. This dataset contains a MATLAB script used to process grain images and calculate individual grain-shape metrics (including circularity, solidity, and eccentricity), and an Excel spreadsheet containing the grain-shape measurements. Grain images were collected in 2022-23 using a Bettersizer S3 Plus particle size and shape analyzer at the University of Virginia. ... : File descriptions: The excel file GrainShapeMetrics.xlsx contains the values of grain-shape measurements with each study region in a different tab, with the first tab called READ_ME providing details of the metrics, units, references to documentation, and explanations of each column header. The MATLAB script, GrainShapeAnalysis_Binarized.mlx, which is used to process grain images, convert images to binary, and calculate the measurements presented in the Excel file is also included. Sample metadata is available in the Excel file Events_Metadata.xlsx. ... |
format |
Dataset |
author |
Lepp, Allison Simkins, Lauren M Anderson, John B O'Regan, Matt Winsborrow, Monica Smith, James A Hillenbrand, Claus-Dieter Wellner, Julia S Prothro, Lindsay O Podolskiy, Evgeny |
author_facet |
Lepp, Allison Simkins, Lauren M Anderson, John B O'Regan, Matt Winsborrow, Monica Smith, James A Hillenbrand, Claus-Dieter Wellner, Julia S Prothro, Lindsay O Podolskiy, Evgeny |
author_sort |
Lepp, Allison |
title |
MATLAB script for grain images and grain-shape metrics of glacial sediments from Antarctica, Northwest Greenland, and the central Barents Sea ... |
title_short |
MATLAB script for grain images and grain-shape metrics of glacial sediments from Antarctica, Northwest Greenland, and the central Barents Sea ... |
title_full |
MATLAB script for grain images and grain-shape metrics of glacial sediments from Antarctica, Northwest Greenland, and the central Barents Sea ... |
title_fullStr |
MATLAB script for grain images and grain-shape metrics of glacial sediments from Antarctica, Northwest Greenland, and the central Barents Sea ... |
title_full_unstemmed |
MATLAB script for grain images and grain-shape metrics of glacial sediments from Antarctica, Northwest Greenland, and the central Barents Sea ... |
title_sort |
matlab script for grain images and grain-shape metrics of glacial sediments from antarctica, northwest greenland, and the central barents sea ... |
publisher |
PANGAEA |
publishDate |
2023 |
url |
https://dx.doi.org/10.1594/pangaea.961704 https://doi.pangaea.de/10.1594/PANGAEA.961704 |
long_lat |
ENVELOPE(141.378,141.378,-66.787,-66.787) ENVELOPE(-68.000,-68.000,-68.500,-68.500) ENVELOPE(-68.333,-68.333,-67.566,-67.566) ENVELOPE(-67.250,-67.250,-71.116,-71.116) |
geographic |
Antarctic Barents Sea Ross Sea Greenland Marguerite Marguerite Bay Ryder Ryder Glacier |
geographic_facet |
Antarctic Barents Sea Ross Sea Greenland Marguerite Marguerite Bay Ryder Ryder Glacier |
genre |
Antarc* Antarctic Antarctica Barents Sea glacier Greenland Pine Island Ross Sea |
genre_facet |
Antarc* Antarctic Antarctica Barents Sea glacier Greenland Pine Island Ross Sea |
op_relation |
https://dx.doi.org/10.5194/tc-2023-70 https://dx.doi.org/10.31223/x58934 https://dx.doi.org/10.5194/tc-10-1003-2016 https://dx.doi.org/10.1016/j.quascirev.2022.107460 https://dx.doi.org/10.1016/0033-5894(89)90008-2 https://dx.doi.org/10.1016/j.quascirev.2012.01.017 https://dx.doi.org/10.3389/feart.2022.863200 https://dx.doi.org/10.5194/tc-15-4073-2021 https://dx.doi.org/10.1016/j.margeo.2017.09.012 https://dx.doi.org/10.1111/j.1502-3885.2011.00244.x https://dx.doi.org/10.1038/ngeo3012 https://dx.doi.org/10.1038/nature20136 https://dx.doi.org/10.1016/j.quascirev.2013.11.021 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.96170410.5194/tc-2023-7010.31223/x5893410.5194/tc-10-1003-201610.1016/j.quascirev.2022.10746010.1016/0033-5894(89)90008-210.1016/j.quascirev.2012.01.01710.3389/feart.2022.86320010.5194/tc-15-4073-202110.1016/j.margeo.2017.0 |
_version_ |
1795035382270656512 |