| Predicting hydrologic function with aquatic gene fragments SP Good, DR URycki, BC Crump Water Resources Research 54 (3), 2424-2435, 2018 | 22 | 2018 |
| Inorganic nitrogen and phosphorus in Sierran forest O horizon leachate TM Loupe, WW Miller, DW Johnson, EM Carroll, D Hanseder, D Glass, ... Journal of environmental quality 36 (2), 498-507, 2007 | 17 | 2007 |
| Hydrological perspectives on integrated, coordinated, open, networked (ICON) science BS Acharya, B Ahmmed, Y Chen, JH Davison, L Haygood, RT Hensley, ... Earth and Space Science 9 (4), e2022EA002320, 2022 | 15 | 2022 |
| River microbiome composition reflects macroscale climatic and geomorphic differences in headwater streams DR URycki, SP Good, BC Crump, J Chadwick, GD Jones Frontiers in Water 2, 574728, 2020 | 13 | 2020 |
| The streamwater microbiome encodes hydrologic data across scales DR URycki, M Bassiouni, SP Good, BC Crump, B Li Science of The Total Environment 849, 157911, 2022 | 6 | 2022 |
| The value of L-band soil moisture and vegetation optical depth estimates in the prediction of vegetation phenology B Li, SP Good, DR URycki Remote Sensing 13 (7), 1343, 2021 | 3 | 2021 |
| A new flow path: eDNA connecting hydrology and biology DR URycki, AA Kirtane, R Aronoff, CC Avila, RC Blackman, L Carraro, ... Wiley Interdisciplinary Reviews: Water, e1749, 2024 | | 2024 |
| Information Flows from Landscape and Meteorological Drivers to Land-atmosphere Fluxes in Intensively Managed Landscapes AE Goodwell, D URycki, M Askarzadehfarahani AGU Fall Meeting Abstracts 2023 (1501), H53M-1501, 2023 | | 2023 |
| Microbial Communities Reveal Sources of Streamflow in Response to Early-Season Storm Event DR URycki, SP Good, BC Crump, NC Ceperley, JR Brooks | | 2023 |
| Causal Attribution of Landscape versus Meteorological Drivers of Eddy Covariance Fluxes AE Goodwell, M Askarzadehfarahani, M Zahan, D URycki AGU Fall Meeting Abstracts 2022, H32N-1094, 2022 | | 2022 |
| Information Theory and Flux Footprints to Characterize Drivers of Daily Satellite-Based and Flux Tower Evapotranspiration D URycki, AE Goodwell, M Anderson, Y Yang, J Xue AGU Fall Meeting Abstracts 2022, H55A-12, 2022 | | 2022 |
| Shifts in Streamwater Microbial Diversity Track Storm Hydrograph Dynamics D URycki, SP Good, BC Crump, NC Ceperley, JR Brooks Frontiers in Hydrology 2022, 131-04, 2022 | | 2022 |
| Streamwater Microbial Communities as Hydrologic Observation: Insights Gained from Investigation of a Novel Dataset DR URycki | | 2022 |
| Mutual Information between Streamwater Microbiome and Hydrology DR URycki, M Bassiouni Zenodo, 2022 | | 2022 |
| Quantifying the Hydrologic Data Encoded within the Stream Microbial Community: an Information Theoretic Approach D URycki, S Good, B Li, B Crump AGU Fall Meeting Abstracts 2021, H55O-0904, 2021 | | 2021 |
| StreamStats Data Query D URycki, S Good Zenodo, 2020 | | 2020 |
| River Microbiome and Watershed Characteristics Analysis DR URycki, SP Good Zenodo, 2020 | | 2020 |
| Using Stream Bacterial DNA as a Unique High Dimensional Dataset for Understanding Macroscale Catchment Function across Scales D URycki, SP Good, BC Crump AGU Fall Meeting Abstracts 2019, B43F-2582, 2019 | | 2019 |
| Machine Learning with Aquatic DNA to Estimate Hydrologic and Catchment Characteristics D URycki, SP Good, BC Crump AGU Fall Meeting Abstracts 2018, H23N-2151, 2018 | | 2018 |
| Geneohydrology: Using Aquatic Gene Fragments to Quantify Macroscale Ecohydrologic Function SP Good, D URycki, BC Crump, J Chadwick AGU Fall Meeting Abstracts 2018, H13C-03, 2018 | | 2018 |
