GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features.
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| Title: | GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features. |
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| Authors: | Ohmer, Marc1 (AUTHOR) marc.ohmer@kit.edu, Liesch, Tanja1 (AUTHOR), Habbel, Bastian1 (AUTHOR), Heudorfer, Benedikt2 (AUTHOR), Gomez, Mariana3 (AUTHOR), Clos, Patrick3 (AUTHOR), Nölscher, Maximilian3 (AUTHOR), Broda, Stefan3 (AUTHOR) |
| Source: | Earth System Science Data. 2026, Vol. 18 Issue 1, p77-95. 19p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 191335470 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ohmer%2C+Marc%22">Ohmer, Marc</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> marc.ohmer@kit.edu</i><br /><searchLink fieldCode="AR" term="%22Liesch%2C+Tanja%22">Liesch, Tanja</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Habbel%2C+Bastian%22">Habbel, Bastian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Heudorfer%2C+Benedikt%22">Heudorfer, Benedikt</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gomez%2C+Mariana%22">Gomez, Mariana</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Clos%2C+Patrick%22">Clos, Patrick</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nölscher%2C+Maximilian%22">Nölscher, Maximilian</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Broda%2C+Stefan%22">Broda, Stefan</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Earth+System+Science+Data%22">Earth System Science Data</searchLink>. 2026, Vol. 18 Issue 1, p77-95. 19p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191335470 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5194/essd-18-77-2026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 77 Titles: – TitleFull: GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ohmer, Marc – PersonEntity: Name: NameFull: Liesch, Tanja – PersonEntity: Name: NameFull: Habbel, Bastian – PersonEntity: Name: NameFull: Heudorfer, Benedikt – PersonEntity: Name: NameFull: Gomez, Mariana – PersonEntity: Name: NameFull: Clos, Patrick – PersonEntity: Name: NameFull: Nölscher, Maximilian – PersonEntity: Name: NameFull: Broda, Stefan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18663508 Numbering: – Type: volume Value: 18 – Type: issue Value: 1 Titles: – TitleFull: Earth System Science Data Type: main |
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