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Bhavna Arora

Affiliation: Lawrence Berkeley National Laboratory
ORCID: 0000-0001-7841-886X
Works: 21 total (9 publications, 12 datasets, 0 documents)

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Works (21)

All (21)Publications (9)Datasets (12)
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Dataset

Meteorological and hydrological parameters for 17 locations of meteorological stations of the East River Watershed

2023DOI: 10.15485/1989228
Dataset

2016 Floodplain Geochemistry from the East River Watershed, Colorado

2023DOI: 10.15485/2001034
Dataset

Aerobic respiration controls on shale weathering, Geochimica et Cosmochimica Acta, 2023: Dataset

2023DOI: 10.15485/1987859Cited 1 times
Dataset

Aerobic respiration controls on shale weathering, Geochimica et Cosmochimica Acta, 2023: Dataset

2023DOI: 10.15485/1987859Cited 1 times
Dataset

Aerobic respiration controls on shale weathering, Geochimica et Cosmochimica Acta, 2023: Dataset

2023DOI: 10.15485/1987859Cited 1 times
Dataset

Gap-filled water quality, Normalized Differenced Vegetation Index, total nitrogen (nitrate and ammonia) deposition, and land cover data trends for the Continental United States

2020DOI: 10.15485/1647366
Dataset

Differential concentration discharge for the upper and lower reaches of the East River Watershed, Colorado

2020DOI: 10.15485/1657887
Dataset

Differential concentration discharge for the upper and lower reaches of the East River Watershed, Colorado

2020DOI: 10.15485/1657887
Dataset

Differential concentration discharge for the upper and lower reaches of the East River Watershed, Colorado

2020DOI: 10.15485/1657887
Dataset

Differential concentration discharge for the upper and lower reaches of the East River Watershed, Colorado

2020DOI: 10.15485/1657887
Dataset

Influence of hydrological, biogeochemical and temperature transients on subsurface carbon fluxes in a flood plain environment, Biogeochemistry: Dataset

2019DOI: 10.21952/wtr/1506937Cited 1 times
Dataset

Identifying geochemical hot moments and their controls on a contaminated river floodplain system using wavelet and entropy approaches, Environmental modelling & software: Dataset

2019DOI: 10.21952/wtr/1506938