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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Main Authors: Bernard, Jürgen, König-Langlo, Gert, Sieger, Rainer
Format: Other/Unknown Material
Language:English
Published: PANGAEA 2014
Subjects:
GVN
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.150017
https://doi.org/10.1594/PANGAEA.150017
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spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.150017 2024-09-15T17:46:28+00:00 30 years of synoptic observations from Neumayer Station with links to datasets Bernard, Jürgen König-Langlo, Gert Sieger, Rainer LATITUDE: -70.650000 * LONGITUDE: -8.250000 * DATE/TIME START: 1981-01-28T12:00:00 * DATE/TIME END: 2013-01-31T21:00:00 2014 384 datasets https://doi.pangaea.de/10.1594/PANGAEA.150017 https://doi.org/10.1594/PANGAEA.150017 en eng PANGAEA Bernard, Jürgen; Steiger, Martin; Widmer, Sven; Lücke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jörn (2014): Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets. Computer Graphics Forum, 33(3), 291-300, https://doi.org/10.1111/cgf.12385 Suppementary material, QuickTime movie, 51 MB (URI: https://hs.pangaea.de/Movies/bernard-etal_2014/cgf12385-sup-0001-S1.mov) Bernard, Jürgen; Steiger, Martin; Widmer, Sven; Lücke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jörn (2014): EuroVis 2014: Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets, MPEG-4 movie of talk, 54 MB. https://hs.pangaea.de/Movies/bernard-etal_2014/EuroVis_2014_Visual-interactive_talk.mp4 https://doi.pangaea.de/10.1594/PANGAEA.150017 https://doi.org/10.1594/PANGAEA.150017 BSRN-1.0: Baseline Surface Radiation Network License 1.0 Access constraints: unrestricted info:eu-repo/semantics/openAccess Baseline Surface Radiation Network BSRN Dronning Maud Land Antarctica Georg von Neumayer GVN Monitoring station MONS Neumayer_based NEUMAYER III dataset bibliography 2014 ftpangaea https://doi.org/10.1594/PANGAEA.15001710.1111/cgf.12385 2024-07-24T02:31:23Z 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 expert knowledge and algorithmic support. Finally, visual-interactive subset clustering assigns multivariate bin relations to groups. A list-based cluster result representation enables the scientist to communicate multivariate findings at a glance. We demonstrate the applicability of the system with two case studies from the earth observation domain and the prostate cancer research domain. In both cases, the system enabled us to identify the most interesting multivariate bin relations, to validate already published results, and, moreover, to discover unexpected relations. Other/Unknown Material Antarc* Antarctica Dronning Maud Land PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(-8.250000,-8.250000,-70.650000,-70.650000)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic Baseline Surface Radiation Network
BSRN
Dronning Maud Land
Antarctica
Georg von Neumayer
GVN
Monitoring station
MONS
Neumayer_based
NEUMAYER III
spellingShingle Baseline Surface Radiation Network
BSRN
Dronning Maud Land
Antarctica
Georg von Neumayer
GVN
Monitoring station
MONS
Neumayer_based
NEUMAYER III
Bernard, Jürgen
König-Langlo, Gert
Sieger, Rainer
30 years of synoptic observations from Neumayer Station with links to datasets
topic_facet Baseline Surface Radiation Network
BSRN
Dronning Maud Land
Antarctica
Georg von Neumayer
GVN
Monitoring station
MONS
Neumayer_based
NEUMAYER III
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 expert knowledge and algorithmic support. Finally, visual-interactive subset clustering assigns multivariate bin relations to groups. A list-based cluster result representation enables the scientist to communicate multivariate findings at a glance. We demonstrate the applicability of the system with two case studies from the earth observation domain and the prostate cancer research domain. In both cases, the system enabled us to identify the most interesting multivariate bin relations, to validate already published results, and, moreover, to discover unexpected relations.
format Other/Unknown Material
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://doi.pangaea.de/10.1594/PANGAEA.150017
https://doi.org/10.1594/PANGAEA.150017
op_coverage LATITUDE: -70.650000 * LONGITUDE: -8.250000 * DATE/TIME START: 1981-01-28T12:00:00 * DATE/TIME END: 2013-01-31T21:00:00
long_lat ENVELOPE(-8.250000,-8.250000,-70.650000,-70.650000)
genre Antarc*
Antarctica
Dronning Maud Land
genre_facet Antarc*
Antarctica
Dronning Maud Land
op_relation Bernard, Jürgen; Steiger, Martin; Widmer, Sven; Lücke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jörn (2014): Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets. Computer Graphics Forum, 33(3), 291-300, https://doi.org/10.1111/cgf.12385
Suppementary material, QuickTime movie, 51 MB (URI: https://hs.pangaea.de/Movies/bernard-etal_2014/cgf12385-sup-0001-S1.mov)
Bernard, Jürgen; Steiger, Martin; Widmer, Sven; Lücke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jörn (2014): EuroVis 2014: Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets, MPEG-4 movie of talk, 54 MB. https://hs.pangaea.de/Movies/bernard-etal_2014/EuroVis_2014_Visual-interactive_talk.mp4
https://doi.pangaea.de/10.1594/PANGAEA.150017
https://doi.org/10.1594/PANGAEA.150017
op_rights BSRN-1.0: Baseline Surface Radiation Network License 1.0
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.15001710.1111/cgf.12385
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