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Erfani, Seyed Mohammad Hassan, Erfani, Mahdi, Cohen, Sagy, Downey, Austin R.J., Goharian, Erfan (2024) A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records. Environmental Modelling & Software, 180. 106136 doi:10.1016/j.envsoft.2024.106136

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Reference TypeJournal (article/letter/editorial)
TitleA large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records
JournalEnvironmental Modelling & Software
AuthorsErfani, Seyed Mohammad HassanAuthor
Erfani, MahdiAuthor
Cohen, SagyAuthor
Downey, Austin R.J.Author
Goharian, ErfanAuthor
Year2024 (September)Volume180
Page(s)106136
PublisherElsevier BV
DOIdoi:10.1016/j.envsoft.2024.106136Search in ResearchGate
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Mindat Ref. ID17507921Long-form Identifiermindat:1:5:17507921:8
GUID0
Full ReferenceErfani, Seyed Mohammad Hassan, Erfani, Mahdi, Cohen, Sagy, Downey, Austin R.J., Goharian, Erfan (2024) A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records. Environmental Modelling & Software, 180. 106136 doi:10.1016/j.envsoft.2024.106136
Plain TextErfani, Seyed Mohammad Hassan, Erfani, Mahdi, Cohen, Sagy, Downey, Austin R.J., Goharian, Erfan (2024) A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records. Environmental Modelling & Software, 180. 106136 doi:10.1016/j.envsoft.2024.106136
In(2024) Environmental Modelling & Software Vol. 180. Elsevier BV

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