Structural grain parameters from image analysis of large area scan macroscope images from the NEEM ice core ...
Grain parameters (size and shape) are derived by extraction and parametrisation of grain boundary networks from large area scan macroscope images from the NEEM ice core. Images have been taken in reflecting light (LASM) in the NEEM camp on the freshly drilled core, prepared as polished thick section...
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Online Access: | https://dx.doi.org/10.1594/pangaea.919775 https://doi.pangaea.de/10.1594/PANGAEA.919775 |
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ftdatacite:10.1594/pangaea.919775 2024-03-31T07:53:17+00:00 Structural grain parameters from image analysis of large area scan macroscope images from the NEEM ice core ... Weikusat, Ilka Binder, Tobias Kipfstuhl, Sepp 2020 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.919775 https://doi.pangaea.de/10.1594/PANGAEA.919775 en eng PANGAEA https://doi.pangaea.de/10.1594/PANGAEA.743296 https://dx.doi.org/10.11588/heidok.00016891 https://dx.doi.org/10.1111/jmi.12029 https://dx.doi.org/10.4028/www.scientific.net/msf.753.481 https://dx.doi.org/10.5194/tc-2018-275 https://dx.doi.org/10.5194/tc-2018-274 https://dx.doi.org/10.1594/pangaea.920005 https://doi.pangaea.de/10.1594/PANGAEA.743296 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 grain boundary network ice-image.org LASM shape preferred orientation DEPTH, ice/snow Sample ID Subsample ID Comment File name File format File size Uniform resource locator/link to file Ice drill dataset Dataset 2020 ftdatacite https://doi.org/10.1594/pangaea.91977510.11588/heidok.0001689110.1111/jmi.1202910.4028/www.scientific.net/msf.753.48110.5194/tc-2018-27510.5194/tc-2018-27410.1594/pangaea.920005 2024-03-04T13:34:28Z Grain parameters (size and shape) are derived by extraction and parametrisation of grain boundary networks from large area scan macroscope images from the NEEM ice core. Images have been taken in reflecting light (LASM) in the NEEM camp on the freshly drilled core, prepared as polished thick sections. A dedicated method of automatic image analysis was developed by Tobias Binder (PhD DFG-funded, 2014, AWI, Bremerhaven and IWR, Heidelberg) and applied to the images.Grain size and shape parameters, if based on reliable statistics viz. several hundreds of grains per section, help to characterise "shape preferred orientation" (SPO) as complementary information to crystal preferred orientation measurements (CPO or fabrics) with respect to the solid state deformation of polar ice. ... Dataset ice core DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
grain boundary network ice-image.org LASM shape preferred orientation DEPTH, ice/snow Sample ID Subsample ID Comment File name File format File size Uniform resource locator/link to file Ice drill |
spellingShingle |
grain boundary network ice-image.org LASM shape preferred orientation DEPTH, ice/snow Sample ID Subsample ID Comment File name File format File size Uniform resource locator/link to file Ice drill Weikusat, Ilka Binder, Tobias Kipfstuhl, Sepp Structural grain parameters from image analysis of large area scan macroscope images from the NEEM ice core ... |
topic_facet |
grain boundary network ice-image.org LASM shape preferred orientation DEPTH, ice/snow Sample ID Subsample ID Comment File name File format File size Uniform resource locator/link to file Ice drill |
description |
Grain parameters (size and shape) are derived by extraction and parametrisation of grain boundary networks from large area scan macroscope images from the NEEM ice core. Images have been taken in reflecting light (LASM) in the NEEM camp on the freshly drilled core, prepared as polished thick sections. A dedicated method of automatic image analysis was developed by Tobias Binder (PhD DFG-funded, 2014, AWI, Bremerhaven and IWR, Heidelberg) and applied to the images.Grain size and shape parameters, if based on reliable statistics viz. several hundreds of grains per section, help to characterise "shape preferred orientation" (SPO) as complementary information to crystal preferred orientation measurements (CPO or fabrics) with respect to the solid state deformation of polar ice. ... |
format |
Dataset |
author |
Weikusat, Ilka Binder, Tobias Kipfstuhl, Sepp |
author_facet |
Weikusat, Ilka Binder, Tobias Kipfstuhl, Sepp |
author_sort |
Weikusat, Ilka |
title |
Structural grain parameters from image analysis of large area scan macroscope images from the NEEM ice core ... |
title_short |
Structural grain parameters from image analysis of large area scan macroscope images from the NEEM ice core ... |
title_full |
Structural grain parameters from image analysis of large area scan macroscope images from the NEEM ice core ... |
title_fullStr |
Structural grain parameters from image analysis of large area scan macroscope images from the NEEM ice core ... |
title_full_unstemmed |
Structural grain parameters from image analysis of large area scan macroscope images from the NEEM ice core ... |
title_sort |
structural grain parameters from image analysis of large area scan macroscope images from the neem ice core ... |
publisher |
PANGAEA |
publishDate |
2020 |
url |
https://dx.doi.org/10.1594/pangaea.919775 https://doi.pangaea.de/10.1594/PANGAEA.919775 |
genre |
ice core |
genre_facet |
ice core |
op_relation |
https://doi.pangaea.de/10.1594/PANGAEA.743296 https://dx.doi.org/10.11588/heidok.00016891 https://dx.doi.org/10.1111/jmi.12029 https://dx.doi.org/10.4028/www.scientific.net/msf.753.481 https://dx.doi.org/10.5194/tc-2018-275 https://dx.doi.org/10.5194/tc-2018-274 https://dx.doi.org/10.1594/pangaea.920005 https://doi.pangaea.de/10.1594/PANGAEA.743296 |
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.91977510.11588/heidok.0001689110.1111/jmi.1202910.4028/www.scientific.net/msf.753.48110.5194/tc-2018-27510.5194/tc-2018-27410.1594/pangaea.920005 |
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