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Map georeferencing challenge training and validation data
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address... -
Process-guided deep learning water temperature predictions: 6a Lake Mendota...
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from... -
High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020 - Class Probability Stack
This raster stack contains 15 probability layers representing the pixel-level predicted probability of membership in each species-specific vegetation class from 0 to 1. These... -
Classification of crop types in central California from 2005 - 2020
This dataset is support materials for the publication "Crop type classification, trends, and patterns of central California agricultural fields from 2005 – 2020". This data... -
Noise Datasets for Evaluating Deep Generative Models
Synthetic training and test datasets for experiments on deep generative modeling of noise time series. Consists of data for the following noise types: 1) band-limited thermal... -
EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic...
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on... -
Data release: Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes
<p>Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake... -
Subsurface Characterization and Machine Learning Predictions at Brady Hot...
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells -...