Quantifying ecosystem states and state transitions of the Upper Mississippi River System using topological data analysis.
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| Title: | Quantifying ecosystem states and state transitions of the Upper Mississippi River System using topological data analysis. |
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| Authors: | Larson DM; U.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, Wisconsin, United States of America., Bungula W; University of Wisconsin La-Crosse, Department of Mathematics and Statistics, La Crosse, Wisconsin, United States of America., McKean C; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America., Stockdill A; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America., Lee A; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America., Miller FF; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America., Davis K; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2023 Jun 07; Vol. 19 (6), pp. e1011147. Date of Electronic Publication: 2023 Jun 07 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37285341 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantifying ecosystem states and state transitions of the Upper Mississippi River System using topological data analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Larson+DM%22">Larson DM</searchLink>; U.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, Wisconsin, United States of America.<br /><searchLink fieldCode="AU" term="%22Bungula+W%22">Bungula W</searchLink>; University of Wisconsin La-Crosse, Department of Mathematics and Statistics, La Crosse, Wisconsin, United States of America.<br /><searchLink fieldCode="AU" term="%22McKean+C%22">McKean C</searchLink>; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America.<br /><searchLink fieldCode="AU" term="%22Stockdill+A%22">Stockdill A</searchLink>; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America.<br /><searchLink fieldCode="AU" term="%22Lee+A%22">Lee A</searchLink>; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America.<br /><searchLink fieldCode="AU" term="%22Miller+FF%22">Miller FF</searchLink>; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America.<br /><searchLink fieldCode="AU" term="%22Davis+K%22">Davis K</searchLink>; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2023 Jun 07; Vol. 19 (6), pp. e1011147. <i>Date of Electronic Publication: </i>2023 Jun 07 (<i>Print Publication: </i>2023). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37285341 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1011147 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e1011147 Titles: – TitleFull: Quantifying ecosystem states and state transitions of the Upper Mississippi River System using topological data analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Larson DM – PersonEntity: Name: NameFull: Bungula W – PersonEntity: Name: NameFull: McKean C – PersonEntity: Name: NameFull: Stockdill A – PersonEntity: Name: NameFull: Lee A – PersonEntity: Name: NameFull: Miller FF – PersonEntity: Name: NameFull: Davis K IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 06 Text: 2023 Jun 07 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1553-7358 Numbering: – Type: volume Value: 19 – Type: issue Value: 6 Titles: – TitleFull: PLoS computational biology Type: main |
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