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Rosalie K. Chu

Affiliation: Pacific Northwest National Laboratory
ORCID: 0000-0001-7428-7647
Works: 20 total (1 publication, 19 datasets, 0 documents)

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Works (20)

All (20)Publications (1)Datasets (19)
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Dataset

East River Pore Water FTICR-MS Data associated with "Geomorphic and Hydrogeochemical Controls on Fine-Scale Hyporheic Microbiome Assembly and Function"

2025DOI: 10.15485/1957786
Dataset

Surface Water Disinfection Byproducts and Organic Matter Characterization Data Associated with: “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream”

2025DOI: 10.15485/1969118
Dataset

Metagenome-assembled genomes measured at 3 depths during snowmelt period in East River, CO (March, May, and June, September 2017)

2025DOI: 10.15485/2569158Cited 1 times
Article

Seasonal controls on microbial depolymerization and oxidation of organic matter in floodplain soils

2024Environmental Science & TechnologyDOI: 10.1021/acs.est.4c05109Cited 3 times
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303
Dataset

East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

2021DOI: 10.15485/1813303