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Federal
Simulated Radar Waveform and RF Dataset Generator for Incumbent Signals in the 3.5 GHz CBRS Band recent views
National Institute of Standards and Technology —
This software tool generates simulated radar signals and creates RF datasets. The datasets can be used to develop and test detection algorithms by utilizing machine... -
Federal
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset recent views
Department of Energy —
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of... -
Federal
Raw data used to investigate the use of Wi-Fi signals to monitor human respiratory motion. recent views
National Institute of Standards and Technology —
Raw data used to investigate the use of Wi-Fi signals to monitor human respiratory motion. Data are from an anatomically correct breathing manikin. These data have... -
Federal
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting recent views
Department of Energy —
The BuildingsBench datasets consist of: - Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting... -
Federal
TREC 2022 Deep Learning test collection recent views
National Institute of Standards and Technology —
This is a test collection for passage and document retrieval, produced in the TREC 2023 Deep Learning track. The Deep Learning Track studies information retrieval in... -
Federal
CameraTrapDetectoR Species Model recent views
Department of Agriculture —
CameraTrapDetectoR is an R package that uses deep learning computer vision models to automatically detect, count, and classify common North American domestic and wild... -
Federal
1. Model code for model archive: Identifying structural priors in a hybrid differentiable model for stream water temperature modeling recent views
Department of the Interior —
This section provides model code described by Rahmani et al. (2023b). This code accepts basin attributes and forcings and predicts stream temperatures using a... -
Federal
Process-guided deep learning water temperature predictions: 4a Lake Mendota detailed training data recent views
Department of the Interior —
This dataset includes compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from... -
Federal
EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography recent views
Department of Energy —
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... -
Federal
Process-guided deep learning water temperature predictions: 6 Model evaluation (test data and RMSE) recent views
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
Federal
Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data recent views
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
Federal
Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) recent views
Department of the Interior —
This dataset provides shapefile of outlines of the 68 lakes where temperature was modeled as part of this study. The format is a shapefile for all lakes combined... -
Federal
Process-guided deep learning water temperature predictions: 5a Lake Mendota detailed prediction data recent views
Department of the Interior —
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin.... -
Federal
Process-guided deep learning water temperature predictions: 3 Model inputs (meteorological inputs and ice flags) recent views
Department of the Interior —
This dataset includes model inputs (specifically, weather and flags for predicted ice-cover) and is part of a larger data release of lake temperature model inputs and... -
Federal
Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values) recent views
Department of the Interior —
This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file... -
Federal
Data from: Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks recent views
Department of Agriculture —
This dataset contains the spatiotemporal data used to train the spatiotemporal deep neural networks described in "Modeling the Spread of a Livestock Disease With... -
Federal
Sentinel-1 Input Data for PSInSAR Analysis recent views
Department of Energy —
Files used to perform the Persistent Scatterer InSAR analysis with SARPROZ. The data is sourced from ESAs Sentinel-1 project and covers Brady Hot Springs and Desert... -
Federal
Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments recent views
Department of Energy —
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine... -
Federal
Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data recent views
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature... -
Federal
A deep learning model and associated data to support understanding and simulation of salinity dynamics in Delaware Bay recent views
Department of the Interior —
Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water...