Articles with public access mandates - Charuleka VaradharajanLearn more
Not available anywhere: 1
Imputation of contiguous gaps and extremes of subhourly groundwater time series using random forests
D Dwivedi, U Mital, B Faybishenko, B Dafflon, C Varadharajan, D Agarwal, ...
Journal of Machine Learning for Modeling and Computing 3 (2), 2022
Mandates: US Department of Energy
Available somewhere: 45
The East River, Colorado, Watershed: A mountainous community testbed for improving predictive understanding of multiscale hydrological–biogeochemical dynamics
SS Hubbard, KH Williams, D Agarwal, J Banfield, H Beller, N Bouskill, ...
Vadose Zone Journal 17 (1), 1-25, 2018
Mandates: US Department of Energy
Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado …
CD Koven, RG Knox, RA Fisher, JQ Chambers, BO Christoffersen, ...
Biogeosciences 17 (11), 3017-3044, 2020
Mandates: US National Science Foundation, US Department of Energy
Identifying chemicals of concern in hydraulic fracturing fluids used for oil production
WT Stringfellow, MK Camarillo, JK Domen, WL Sandelin, C Varadharajan, ...
Environmental pollution 220, 413-420, 2017
Mandates: US Department of Energy
Surrogate optimization of deep neural networks for groundwater predictions
J Müller, J Park, R Sahu, C Varadharajan, B Arora, B Faybishenko, ...
Journal of Global Optimization 81, 203-231, 2021
Mandates: US Department of Energy
A warming-induced reduction in snow fraction amplifies rainfall extremes
M Ombadi, MD Risser, AM Rhoades, C Varadharajan
Nature 619 (7969), 305-310, 2023
Mandates: US Department of Energy
Reoxidation of chromium (III) products formed under different biogeochemical regimes
C Varadharajan, HR Beller, M Bill, EL Brodie, ME Conrad, R Han, C Irwin, ...
Environmental science & technology 51 (9), 4918-4927, 2017
Mandates: US Department of Energy
Integrating airborne remote sensing and field campaigns for ecology and Earth system science
KD Chadwick, PG Brodrick, K Grant, T Goulden, A Henderson, N Falco, ...
Methods in Ecology and Evolution 11 (11), 1492-1508, 2020
Mandates: US National Science Foundation, US Department of Energy, US National …
On the mobilization of metals by CO2 leakage into shallow aquifers: exploring release mechanisms by modeling field and laboratory experiments
L Zheng, N Spycher, C Varadharajan, RM Tinnacher, JD Pugh, M Bianchi, ...
Greenhouse Gases: Science and Technology 5 (4), 403-418, 2015
Mandates: US Department of Energy
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
Mandates: US National Science Foundation, US Department of Energy
Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry
SS Hubbard, C Varadharajan, Y Wu, H Wainwright, D Dwivedi
Hydrological Processes 34 (15), 3175-3182, 2020
Mandates: US Department of Energy
Surveys, simulation and single-cell assays relate function and phylogeny in a lake ecosystem
SP Preheim, SW Olesen, SJ Spencer, A Materna, C Varadharajan, ...
Nature Microbiology 1 (9), 1-9, 2016
Mandates: US National Science Foundation, US Department of Energy
Impact of input feature selection on groundwater level prediction from a multi-layer perceptron neural network
RK Sahu, J Müller, J Park, C Varadharajan, B Arora, B Faybishenko, ...
Frontiers in Water 2, 573034, 2020
Mandates: US Department of Energy
Long-term missing value imputation for time series data using deep neural networks
J Park, J Müller, B Arora, B Faybishenko, G Pastorello, C Varadharajan, ...
Neural Computing and Applications 35 (12), 9071-9091, 2023
Mandates: US Department of Energy
A reporting format for leaf-level gas exchange data and metadata
KS Ely, A Rogers, DA Agarwal, EA Ainsworth, LP Albert, A Ali, J Anderson, ...
Ecological Informatics 61, 101232, 2021
Mandates: US Department of Energy, US Department of Defense, US Department of …
Challenges in building an end-to-end system for acquisition, management, and integration of diverse data from sensor networks in watersheds: lessons from a mountainous …
C Varadharajan, DA Agarwal, W Brown, M Burrus, RWH Carroll, ...
IEEE Access 7, 182796-182813, 2019
Mandates: US Department of Energy
Species-specific shifts in diurnal sap velocity dynamics and hysteretic behavior of ecophysiological variables during the 2015–2016 El Niño event in the Amazon forest
BO Gimenez, KJ Jardine, N Higuchi, RI Negrón-Juárez, IJ Sampaio-Filho, ...
Frontiers in Plant Science 10, 830, 2019
Mandates: US Department of Energy
Sample identifiers and metadata to support data management and reuse in multidisciplinary ecosystem sciences
JE Damerow, C Varadharajan, K Boye, EL Brodie, M Burrus, ...
Data Science Journal 20 (1), 11, 2021
Mandates: US National Science Foundation, US Department of Energy
Challenging problems of quality assurance and quality control (QA/QC) of meteorological time series data
B Faybishenko, R Versteeg, G Pastorello, D Dwivedi, C Varadharajan, ...
Stochastic environmental research and risk assessment, 1-14, 2022
Mandates: US Department of Energy
A guide to using GitHub for developing and versioning data standards and reporting formats
R Crystal‐Ornelas, C Varadharajan, B Bond‐Lamberty, K Boye, M Burrus, ...
Earth and Space Science 8 (8), e2021EA001797, 2021
Mandates: US Department of Energy
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