Results of bulk sediment X-ray diffraction analysis and quantification of mineral phases based on the RockJock and on the QUAX quantitative analysis ...

We have performed quantitative X-ray diffraction (qXRD) analysis of 157 grab or core-top samples from the western Nordic Seas between (WNS) ~57°-75°N and 5° to 45° W. The RockJock Vs6 analysis includes non-clay (20) and clay (10) mineral species in the <2 mm size fraction that sum to 100 weight %...

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Main Authors: Andrews, John T, Vogt, Christoph
Format: Article in Journal/Newspaper
Language:English
Published: PANGAEA 2014
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.830397
https://doi.pangaea.de/10.1594/PANGAEA.830397
id ftdatacite:10.1594/pangaea.830397
record_format openpolar
spelling ftdatacite:10.1594/pangaea.830397 2024-09-15T18:20:29+00:00 Results of bulk sediment X-ray diffraction analysis and quantification of mineral phases based on the RockJock and on the QUAX quantitative analysis ... Andrews, John T Vogt, Christoph 2014 application/zip https://dx.doi.org/10.1594/pangaea.830397 https://doi.pangaea.de/10.1594/PANGAEA.830397 en eng PANGAEA https://dx.doi.org/10.1016/j.margeo.2014.08.005 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 Geosciences, University of Bremen GeoB Paleoenvironmental Reconstructions from Marine Sediments @ AWI AWI_Paleo article Collection Supplementary Publication Series of Datasets 2014 ftdatacite https://doi.org/10.1594/pangaea.83039710.1016/j.margeo.2014.08.005 2024-08-01T10:50:55Z We have performed quantitative X-ray diffraction (qXRD) analysis of 157 grab or core-top samples from the western Nordic Seas between (WNS) ~57°-75°N and 5° to 45° W. The RockJock Vs6 analysis includes non-clay (20) and clay (10) mineral species in the <2 mm size fraction that sum to 100 weight %. The data matrix was reduced to 9 and 6 variables respectively by excluding minerals with low weight% and by grouping into larger groups, such as the alkali and plagioclase feldspars. Because of its potential dual origins calcite was placed outside of the sum. We initially hypothesized that a combination of regional bedrock outcrops and transport associated with drift-ice, meltwater plumes, and bottom currents would result in 6 clusters defined by "similar" mineral compositions. The hypothesis was tested by use of a fuzzy k-mean clustering algorithm and key minerals were identified by step-wise Discriminant Function Analysis. Key minerals in defining the clusters include quartz, pyroxene, muscovite, and ... : Supplement to: Andrews, John T; Vogt, Christoph (2014): Source to sink: Statistical identification of regional variations in the mineralogy of surface sediments in the western Nordic Seas (58°N–75°N; 10°W–40°W). Marine Geology, 357, 151-162 ... Article in Journal/Newspaper Nordic Seas DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic Geosciences, University of Bremen GeoB
Paleoenvironmental Reconstructions from Marine Sediments @ AWI AWI_Paleo
spellingShingle Geosciences, University of Bremen GeoB
Paleoenvironmental Reconstructions from Marine Sediments @ AWI AWI_Paleo
Andrews, John T
Vogt, Christoph
Results of bulk sediment X-ray diffraction analysis and quantification of mineral phases based on the RockJock and on the QUAX quantitative analysis ...
topic_facet Geosciences, University of Bremen GeoB
Paleoenvironmental Reconstructions from Marine Sediments @ AWI AWI_Paleo
description We have performed quantitative X-ray diffraction (qXRD) analysis of 157 grab or core-top samples from the western Nordic Seas between (WNS) ~57°-75°N and 5° to 45° W. The RockJock Vs6 analysis includes non-clay (20) and clay (10) mineral species in the <2 mm size fraction that sum to 100 weight %. The data matrix was reduced to 9 and 6 variables respectively by excluding minerals with low weight% and by grouping into larger groups, such as the alkali and plagioclase feldspars. Because of its potential dual origins calcite was placed outside of the sum. We initially hypothesized that a combination of regional bedrock outcrops and transport associated with drift-ice, meltwater plumes, and bottom currents would result in 6 clusters defined by "similar" mineral compositions. The hypothesis was tested by use of a fuzzy k-mean clustering algorithm and key minerals were identified by step-wise Discriminant Function Analysis. Key minerals in defining the clusters include quartz, pyroxene, muscovite, and ... : Supplement to: Andrews, John T; Vogt, Christoph (2014): Source to sink: Statistical identification of regional variations in the mineralogy of surface sediments in the western Nordic Seas (58°N–75°N; 10°W–40°W). Marine Geology, 357, 151-162 ...
format Article in Journal/Newspaper
author Andrews, John T
Vogt, Christoph
author_facet Andrews, John T
Vogt, Christoph
author_sort Andrews, John T
title Results of bulk sediment X-ray diffraction analysis and quantification of mineral phases based on the RockJock and on the QUAX quantitative analysis ...
title_short Results of bulk sediment X-ray diffraction analysis and quantification of mineral phases based on the RockJock and on the QUAX quantitative analysis ...
title_full Results of bulk sediment X-ray diffraction analysis and quantification of mineral phases based on the RockJock and on the QUAX quantitative analysis ...
title_fullStr Results of bulk sediment X-ray diffraction analysis and quantification of mineral phases based on the RockJock and on the QUAX quantitative analysis ...
title_full_unstemmed Results of bulk sediment X-ray diffraction analysis and quantification of mineral phases based on the RockJock and on the QUAX quantitative analysis ...
title_sort results of bulk sediment x-ray diffraction analysis and quantification of mineral phases based on the rockjock and on the quax quantitative analysis ...
publisher PANGAEA
publishDate 2014
url https://dx.doi.org/10.1594/pangaea.830397
https://doi.pangaea.de/10.1594/PANGAEA.830397
genre Nordic Seas
genre_facet Nordic Seas
op_relation https://dx.doi.org/10.1016/j.margeo.2014.08.005
op_rights Creative Commons Attribution 3.0 Unported
https://creativecommons.org/licenses/by/3.0/legalcode
cc-by-3.0
op_doi https://doi.org/10.1594/pangaea.83039710.1016/j.margeo.2014.08.005
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