| 2007 Environmental Protection Agency (EPA) National Lakes Assessment dataset plus deriveddata and additional spatially explicit ancillary environmental data. E Read, V Patil, S Oliver, A Hetherington, J Brentrup, J Zwart, K Winters, ... Environmental Data Initiative, 2014 | | 2014 |
| A global database of methane concentrations and atmospheric fluxes for streams and rivers E Stanley, L Loken, J Crawford, N Casson, S Oliver, C Gries, S Christel Environmental Data Initiative, 2015 | 7 | 2015 |
| Biases in lake water quality sampling and implications for macroscale research EH Stanley, SM Collins, NR Lottig, SK Oliver, KE Webster, KS Cheruvelil, ... Limnology and Oceanography 64 (4), 1572-1585, 2019 | 67 | 2019 |
| Building a multi-scaled geospatial temporal ecology database from disparate data sources: fostering open science and data reuse PA Soranno, EG Bissell, KS Cheruvelil, ST Christel, SM Collins, ... GigaScience 4 (1), 1-15, 2015 | 122 | 2015 |
| Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality? C Varadharajan, AP Appling, B Arora, DS Christianson, VC Hendrix, ... Hydrological Processes 36 (4), e14565, 2022 | 39 | 2022 |
| Challenges and Prospects for Modeling Lake Water Temperature in a Changing Climate S Piccolroaz, S Zhu, R Ladwig, L Carrea, S Oliver, AP Piotrowski, M Ptak, ... EOS 105, 2024 | | 2024 |
| Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes H Dugan, RI Woolway, A Santoso, J Corman, A Jaimes, E Nodine, V Patil, ... Inland Waters 6 (4), 581-592, 2016 | 51 | 2016 |
| Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins F Rahmani, C Shen, S Oliver, K Lawson, A Appling Hydrological Processes 35 (11), e14400, 2021 | 45 | 2021 |
| Developing and Testing a Long Short-Term Memory Stream Temperature Model in Daily and Continental Scale F Rahmani, S Oliver, W Ouyang, A Appling, K Lawson, C Shen Earth and Space Science Open Archive ESSOAr, 2020 | | 2020 |
| Diel cycles in the fluorescence of dissolved organic matter in dystrophic Wisconsin seepage lakes: Implications for carbon turnover CJ Watras, KA Morrison, JT Crawford, CP McDonald, SK Oliver, ... Limnology and Oceanography 60 (2), 482-496, 2015 | 27 | 2015 |
| Ecological Dissertations in the Aquatic Sciences: An Effective Networking and Professional Development Opportunity for Early Career Aquatic Scientists PT Kelly, T Bell, AJ Reisinger, TL Spanbauer, LE Bortolotti, JA Brentrup, ... Limnology and Oceanography Bulletin 26 (2), 25-30, 2017 | 5 | 2017 |
| Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations JA Zwart, J Diaz, S Hamshaw, S Oliver, JC Ross, M Sleckman, AP Appling, ... Frontiers in Water 5, 1184992, 2023 | 2 | 2023 |
| Evidence for regional nitrogen stress on chlorophyll a in lakes across large landscape and climate gradients CT Filstrup, T Wagner, SK Oliver, CA Stow, KE Webster, EH Stanley, ... Limnology and Oceanography 63 (S1), S324-S339, 2018 | 25 | 2018 |
| Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data F Rahmani, K Lawson, W Ouyang, A Appling, S Oliver, C Shen Environmental Research Letters 16 (2), 024025, 2021 | 96 | 2021 |
| Fluxes of carbon dioxide and methane from diverse aquatic environments in an agricultural landscape EH Stanley, JT Crawford, LC Loken, NJ Casson, NJ Gubbins, SK Oliver AGU Fall Meeting Abstracts 1, 08, 2014 | | 2014 |
| Freshwater connectivity clusters for lakes, wetlands, and streams at the Hydrologic Unit 12 scale in the Midwest and Northeast USA–freshwater metric variables and K-means … C Fergus, JF Lapierre, SK Oliver, NK Skaff, KS Cheruvelil, K Webster, ... Environmental Data Initiative, 2017 | 1 | 2017 |
| Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks X Jia, B Lin, J Zwart, J Sadler, A Appling, S Oliver, J Read Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 9 | 2021 |
| GRiMeDB: a comprehensive global database of methane concentrations and fluxes in fluvial ecosystems with supporting physical and chemical information EH Stanley, LC Loken, NJ Casson, SK Oliver, RA Sponseller, MB Wallin, ... Environmental Data Initiative, 2022 | 2 | 2022 |
| GRiMeDB: The global river database of methane concentrations and fluxes EH Stanley, LC Loken, NJ Casson, SK Oliver, RA Sponseller, MB Wallin, ... Earth System Science Data Discussions 2022, 1-94, 2022 | 21 | 2022 |
| Habitat requirements and occurrence of Crematogaster pilosa (Hymenoptera: Formicidae) ants within intertidal salt marshes LC Loken, SK Oliver Florida Entomologist 99 (1), 82-88, 2016 | 9 | 2016 |
Alison ApplingUnited States Geological Survey在 usgs.gov 的电子邮件经过验证
