Vanessa A. Garayburu-Caruso

Affiliation: Pacific Northwest National Laboratory (PNNL)

ORCID: 0000-0003-3383-6237

Works: 19 total (1 publication, 18 datasets, 0 documents)

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Works (19)

All (19)Publications (1)Datasets (18)

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Dataset

Data and scripts associated with “Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds” (v2)

2025DOI: 10.15485/2406989Cited 1 times

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

Article

Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream

2022Water research XDOI: 10.1016/j.wroa.2022.100144Cited 24 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