Big data show idiosyncratic patterns and rates of geomorphic river mobility.
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| Title: | Big data show idiosyncratic patterns and rates of geomorphic river mobility. |
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| Authors: | Boothroyd RJ; School of Geographical and Earth Sciences, University of Glasgow, Glasgow, UK. richard.boothroyd@glasgow.ac.uk.; Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, Liverpool, UK. richard.boothroyd@glasgow.ac.uk., Williams RD; School of Geographical and Earth Sciences, University of Glasgow, Glasgow, UK., Hoey TB; Department of Civil and Environmental Engineering, Brunel University London, Uxbridge, UK., Brierley GJ; School of Environment, University of Auckland, Auckland, New Zealand., Tolentino PLM; School of Geographical and Earth Sciences, University of Glasgow, Glasgow, UK.; National Institute of Geological Sciences, University of the Philippines, Diliman, Philippines., Guardian EL; National Institute of Geological Sciences, University of the Philippines, Diliman, Philippines., Reyes JCMO; National Institute of Geological Sciences, University of the Philippines, Diliman, Philippines., Sabillo CJ; National Institute of Geological Sciences, University of the Philippines, Diliman, Philippines., Quick L; School of Geographical and Earth Sciences, University of Glasgow, Glasgow, UK., Perez JEG; National Institute of Geological Sciences, University of the Philippines, Diliman, Philippines.; Department of Geography and Regional Research, University of Vienna, Vienna, Austria., David CPC; National Institute of Geological Sciences, University of the Philippines, Diliman, Philippines. |
| Source: | Nature communications [Nat Commun] 2025 Apr 05; Vol. 16 (1), pp. 3263. Date of Electronic Publication: 2025 Apr 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-025-58427-9 |
