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Data · dataset · 2024

Identifying spatio-temporal drivers of extreme events [data set]

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This data set allows to systematically evaluate approaches for the task of identifying extreme events in water cycle components by developing deep neural networks that detect anomalies and drivers of extremes in simulated data.

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Catalogue records · 1

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Inferred from text
Machine learning 71%
Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
bonndatadoi:10.60507/FK2/RD9E3310 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4611enrichment · bonndata uni bonn detaxonomy-embedding@1.1.0title+keywords+description (71%)
concepts[field].dataverse_subject:agricultural-sciencessource · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0/subjects
concepts[field].dataverse_subject:computer-and-information-sciencesource · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0/subjects
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0/subjects
concepts[field].dataverse_subject:physicssource · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0/subjects
concepts[field].local:field:physicsmapping · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0/subjects
created_datesource · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0
descriptionsource · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0/description
publication_datesource · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0
titlesource · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0/name
updated_datesource · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0
version_labelsource · bonndata uni bonn deconnector:bonndata_uni_bonn_de@1.0.0