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Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

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Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

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Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Spectral Estimators for High-Dimensional Matrix Inference

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Random matrix methods for high-dimensional machine learning models

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

Data and scripts for the RaFSIP scheme

Data-driven statistical optimization of a groundwater monitoring network

Reliable data-driven decision-making through optimal transport

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Validation and Application of Hysteresis Loss Model for HTS Stacks and Conductors for Fusion Applications

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

On distributional autoregression and iterated transportation

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Data set for control of Ge island coalescence for the formation of nanowires on silicon

Dataset for '3D printing of customizable transient bioelectronics and sensors'

Orchestrating chromosome conformation capture analysis with Bioconductor

Hybrid Simulator for Capturing Dynamics of Synthetic Populations

Discrete choice modeling in the era of big data