30 years of synoptic observations from Neumayer Station with links to datasets ...
The analysis of research data plays a key role in data-driven areas of science. Varieties of mixed research data sets exist and scientists aim to derive or validate hypotheses to find undiscovered knowledge. Many analysis techniques identify relations of an entire dataset only. This may level the ch...
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ftdatacite:10.1594/pangaea.150017 2024-02-27T08:35:06+00:00 30 years of synoptic observations from Neumayer Station with links to datasets ... Bernard, Jürgen König-Langlo, Gert Sieger, Rainer 2014 https://dx.doi.org/10.1594/pangaea.150017 https://doi.pangaea.de/10.1594/PANGAEA.150017 en eng PANGAEA https://hs.pangaea.de/Movies/bernard-etal_2014/cgf12385-sup-0001-S1.mov https://hs.pangaea.de/Movies/bernard-etal_2014/EuroVis_2014_Visual-interactive_talk.mp4 https://dx.doi.org/10.1111/cgf.12385 https://hs.pangaea.de/Movies/bernard-etal_2014/cgf12385-sup-0001-S1.mov https://hs.pangaea.de/Movies/bernard-etal_2014/EuroVis_2014_Visual-interactive_talk.mp4 Baseline Surface Radiation Network License 1.0 https://bsrn.awi.de/data/conditions-of-data-release/ bsrn-1.0 Monitoring station Neumayer_based NEUMAYER III Baseline Surface Radiation Network BSRN Bibliography of Datasets Collection article 2014 ftdatacite https://doi.org/10.1594/pangaea.15001710.1111/cgf.12385 2024-02-01T16:42:00Z The analysis of research data plays a key role in data-driven areas of science. Varieties of mixed research data sets exist and scientists aim to derive or validate hypotheses to find undiscovered knowledge. Many analysis techniques identify relations of an entire dataset only. This may level the characteristic behavior of different subgroups in the data. Like automatic subspace clustering, we aim at identifying interesting subgroups and attribute sets. We present a visual-interactive system that supports scientists to explore interesting relations between aggregated bins of multivariate attributes in mixed data sets. The abstraction of data to bins enables the application of statistical dependency tests as the measure of interestingness. An overview matrix view shows all attributes, ranked with respect to the interestingness of bins. Complementary, a node-link view reveals multivariate bin relations by positioning dependent bins close to each other. The system supports information drill-down based on both ... : The dataset contains 384 links (childs) to any of the BSRN datasets. In this study, we explore multivariate weather phenomena in Antarctica. Since March 1981, a meteorological observatory program has been carried out at Neumayer Station (NM) (70°37' S, 8°22' W), located in Antarctica. NM is an integral part of many international networks, organized e.g., by the World Meteorological Organization (WMO). The data helps to close gaps in the global weather and climate observing networks. Our contacted domain expert is Dr. Gert König-Langlo, scientific leader of the meteorological observatory of Neumayer. The provided mixed data set consists of 26 attributes with measurements every three hours for 30 years (92902 time stamps). ... Article in Journal/Newspaper Antarc* Antarctica DataCite Metadata Store (German National Library of Science and Technology) Neumayer Neumayer Station |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Monitoring station Neumayer_based NEUMAYER III Baseline Surface Radiation Network BSRN |
spellingShingle |
Monitoring station Neumayer_based NEUMAYER III Baseline Surface Radiation Network BSRN Bernard, Jürgen König-Langlo, Gert Sieger, Rainer 30 years of synoptic observations from Neumayer Station with links to datasets ... |
topic_facet |
Monitoring station Neumayer_based NEUMAYER III Baseline Surface Radiation Network BSRN |
description |
The analysis of research data plays a key role in data-driven areas of science. Varieties of mixed research data sets exist and scientists aim to derive or validate hypotheses to find undiscovered knowledge. Many analysis techniques identify relations of an entire dataset only. This may level the characteristic behavior of different subgroups in the data. Like automatic subspace clustering, we aim at identifying interesting subgroups and attribute sets. We present a visual-interactive system that supports scientists to explore interesting relations between aggregated bins of multivariate attributes in mixed data sets. The abstraction of data to bins enables the application of statistical dependency tests as the measure of interestingness. An overview matrix view shows all attributes, ranked with respect to the interestingness of bins. Complementary, a node-link view reveals multivariate bin relations by positioning dependent bins close to each other. The system supports information drill-down based on both ... : The dataset contains 384 links (childs) to any of the BSRN datasets. In this study, we explore multivariate weather phenomena in Antarctica. Since March 1981, a meteorological observatory program has been carried out at Neumayer Station (NM) (70°37' S, 8°22' W), located in Antarctica. NM is an integral part of many international networks, organized e.g., by the World Meteorological Organization (WMO). The data helps to close gaps in the global weather and climate observing networks. Our contacted domain expert is Dr. Gert König-Langlo, scientific leader of the meteorological observatory of Neumayer. The provided mixed data set consists of 26 attributes with measurements every three hours for 30 years (92902 time stamps). ... |
format |
Article in Journal/Newspaper |
author |
Bernard, Jürgen König-Langlo, Gert Sieger, Rainer |
author_facet |
Bernard, Jürgen König-Langlo, Gert Sieger, Rainer |
author_sort |
Bernard, Jürgen |
title |
30 years of synoptic observations from Neumayer Station with links to datasets ... |
title_short |
30 years of synoptic observations from Neumayer Station with links to datasets ... |
title_full |
30 years of synoptic observations from Neumayer Station with links to datasets ... |
title_fullStr |
30 years of synoptic observations from Neumayer Station with links to datasets ... |
title_full_unstemmed |
30 years of synoptic observations from Neumayer Station with links to datasets ... |
title_sort |
30 years of synoptic observations from neumayer station with links to datasets ... |
publisher |
PANGAEA |
publishDate |
2014 |
url |
https://dx.doi.org/10.1594/pangaea.150017 https://doi.pangaea.de/10.1594/PANGAEA.150017 |
geographic |
Neumayer Neumayer Station |
geographic_facet |
Neumayer Neumayer Station |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
https://hs.pangaea.de/Movies/bernard-etal_2014/cgf12385-sup-0001-S1.mov https://hs.pangaea.de/Movies/bernard-etal_2014/EuroVis_2014_Visual-interactive_talk.mp4 https://dx.doi.org/10.1111/cgf.12385 https://hs.pangaea.de/Movies/bernard-etal_2014/cgf12385-sup-0001-S1.mov https://hs.pangaea.de/Movies/bernard-etal_2014/EuroVis_2014_Visual-interactive_talk.mp4 |
op_rights |
Baseline Surface Radiation Network License 1.0 https://bsrn.awi.de/data/conditions-of-data-release/ bsrn-1.0 |
op_doi |
https://doi.org/10.1594/pangaea.15001710.1111/cgf.12385 |
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1792041563935735808 |