S. Oliver

发表

LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes

W. W. Jones, Jo A. Latimore, Linda C. Bacon, 2017, GigaScience.

Process‐Guided Deep Learning Predictions of Lake Water Temperature

Anuj Karpatne, Xiaowei Jia, Jordan S. Read, 2019, Water Resources Research.

Widespread loss of lake ice around the Northern Hemisphere in a warming world

J. Magnuson, S. Oliver, L. Winslow, 2019, Nature Climate Change.

Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?

Aranildo R. Lima, J. Willard, J. Zwart, 2022, Hydrological Processes.

Strategies for effective collaborative manuscript development in interdisciplinary science teams

P. Soranno, K. Cheruvelil, C. E. Fergus, 2018 .

Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes

Kirsten M. Winters, Jessica R. Corman, J. Read, 2016 .

Habitat Requirements and Occurrence of Crematogaster pilosa (Hymenoptera: Formicidae) Ants within Intertidal Salt Marshes

S. Oliver, L. Loken, 2016, Florida Entomologist.

Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins

S. Oliver, Chaopeng Shen, A. Appling, 2022 .

Machine learning for understanding inland water quantity, quality, and ecology

J. Read, J. Zwart, S. Oliver, 2022 .

Nutrient excretion by crustacean zooplankton in the deep chlorophyll layer of lake superior

S. Oliver, D. Branstrator, T. Hrabik, 2015 .

Ecological Dissertations in the Aquatic Sciences: An Effective Networking and Professional Development Opportunity for Early Career Aquatic Scientists

Jessica Y. Luo, A. M. Flanagan, S. Oliver, 2017 .

GRiMeDB: The global river database of methane concentrations and fluxes

S. Oliver, E. Stanley, R. Sponseller, 2022 .

Near-term forecasts of stream temperature using process-guided deep learning and data assimilation

X. Jia, J. Read, J. Zwart, 2021 .

Near‐term forecasts of stream temperature using deep learning and data assimilation in support of management decisions

X. Jia, J. Read, J. Zwart, 2022, JAWRA Journal of the American Water Resources Association.

The Book of Jubilees : An Annotated Bibliography from the First German Translation of 1850 to the Enoch Seminar of 2007

S. Oliver, 2009 .

Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers

S. Oliver, L. D. De Cicco, G. Ankley, 2022, Environmental toxicology and chemistry.

ASSESSING WATER QUALITY FOR ECOSYSTEM HEALTH OF THE BABAI RIVER IN ROYAL BARDIA NATIONAL PARK, NEPAL.

S. Oliver, M. Allen, S. Sharma, 2005 .

Inconsistent browning of northeastern U.S. lakes despite increased precipitation and recovery from acidification

S. Collins, J. Lapierre, S. Oliver, 2021, Ecosphere.

The importance of lake-specific characteristics for water quality across the continental United States.

Aline Jaimes, Paul C Hanson, Kirsten M. Winters, 2015, Ecological applications : a publication of the Ecological Society of America.

The ecology of methane in streams and rivers: patterns, controls, and global significance

Samuel T. Christel, S. Oliver, E. Stanley, 2016 .

Winter Precipitation and Summer Temperature Predict Lake Water Quality at Macroscales

P. Soranno, K. Cheruvelil, S. Collins, 2019, Water Resources Research.

Evidence for regional nitrogen stress on chlorophyll a in lakes across large landscape and climate gradients

J. Downing, S. Oliver, E. Stanley, 2018 .

Lake nutrient stoichiometry is less predictable than nutrient concentrations at regional and sub-continental scales.

Tyler Wagner, Patricia A Soranno, Jean-Francois Lapierre, 2017, Ecological applications : a publication of the Ecological Society of America.

Multi-task deep learning of daily streamflow and water temperature

X. Jia, J. Read, J. Zwart, 2021 .

Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning pdf

Xiaowei Jia, Jared D. Willard, Jordan S. Read, 2020, Water Resources Research.

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems

X. Jia, J. Read, J. Zwart, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature

Taylor T. Johnson, X. Jia, J. Zwart, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks

Michael S. Steinbach, Jordan S. Read, Alison P. Appling, 2021, SDM.

Spatial and temporal variation of ecosystem properties at macroscales.

Tyler Wagner, Patricia A Soranno, Jean-Francois Lapierre, 2019, Ecology letters.

Unexpected stasis in a changing world: Lake nutrient and chlorophyll trends since 1990

P. Soranno, S. Collins, John R. Jones, 2017, Global change biology.

Building a multi-scaled geospatial temporal ecology database from disparate data sources: fostering open science and data reuse

Pang-Ning Tan, Craig A. Stow, Samantha K. Oliver, 2015, GigaScience.

Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data

S. Oliver, Chaopeng Shen, A. Appling, 2020, Environmental Research Letters.

Biases in lake water quality sampling and implications for macroscale research

Samantha K. Oliver, Sarah M. Collins, Emily H. Stanley, 2019, Limnology and Oceanography.

Diel cycles in the fluorescence of dissolved organic matter in dystrophic Wisconsin seepage lakes: Implications for carbon turnover

Samantha K. Oliver, Paul C. Hanson, Cory P. McDonald, 2015 .

Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks

X. Jia, J. Read, J. Zwart, 2020, SDM.

Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes

S. Oliver, G. Ankley, K. Loftin, 2022, Environmental toxicology and chemistry.

Prediction of lake depth across a 17-state region in the United States

P. Soranno, J. Downing, C. E. Fergus, 2016 .

Author ’ s personal copy Prediction of lake depth across a 17-state region in the United States

P. Soranno, J. Downing, C. E. Fergus, 2016 .

Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing

S. Oliver, A. J. Reisinger, L. Bortolotti, 2021, Limnology and Oceanography.

Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins

S. Oliver, Chaopeng Shen, A. Appling, 2021, Hydrological Processes.

Primary Sources of Polycyclic Aromatic Hydrocarbons to Streambed Sediment in Great Lakes Tributaries Using Multiple Lines of Evidence

P. Paatero, S. Oliver, M. Mills, 2020, Environmental toxicology and chemistry.

Response to Comment on “Primary Sources of Polycyclic Aromatic Hydrocarbons to Streambed Sediment in Great Lakes Tributaries Using Multiple Lines of Evidence”

P. Paatero, S. Oliver, M. Mills, 2020, Environmental toxicology and chemistry.

GRiMeDB: the Global River Methane Database of concentrations and fluxes

S. Oliver, E. Stanley, M. Wallin, 2023, Earth System Science Data.

Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations

Scott D. Hamshaw, X. Jia, J. Read, 2023, Frontiers in Water.

Physics-guided machine learning from simulated data with different physical parameters

X. Jia, J. Read, J. Zwart, 2023, Knowledge and Information Systems.

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation

Jacob Zwart, Alison Appling, Samantha Oliver, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

The freshwater landscape: lake, wetland, and stream abundance and connectivity at macroscales

P. Soranno, K. Cheruvelil, C. E. Fergus, 2017 .

Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature

X. Jia, S. Oliver, Haoyu Yang, 2022, SDM.