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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
9,013 datasets
Data supporting figures in a manuscript on contrastive language-image pretraining for cardiac magnetic resonance image embeddings. The dataset is published on figshare by author David Chen under a CC-BY-4.0 license and was last updated on 2026-05-22. The file is 20.7 KB in size and is available in XLSX format.
Québec's Ministry of Public Security maintains a dataset of physical flood markers. Each marker records the location, date, and maximum water level reached during a significant flood event. The data is provided in multiple geospatial formats including SHP and GeoJSON.
ELN28-135-01 is a rationally designed bifunctional drug conjugate targeting soluble TNF-α and Janus kinase pathways. The dataset, created by Euan Murray and shared on figshare in April 2026, contains experimental results from in vitro and in vivo studies of this novel therapeutic candidate.
CAMEX-4 collected in-situ atmospheric data using the NOAA WP-3D Orion aircraft, which was equipped with meteorological and microphysical sensors like cloud particle imagers and temperature probes. The campaign focused on tropical cyclone development, tracking, intensification, and landfalling impacts. This dataset includes navigation data alongside the meteorological and microphysical measurements.
A 5.5 KB Excel file contains data comparing RMAE (Relative Mean Absolute Error) in tumor cells under a deep reinforcement learning framework. The dataset, authored by Wenlang Zhu, was last updated in April 2026 and supports a proposed DDPG algorithm for personalized chemotherapy regulation.
A list of regulated organizations and facilities in Alberta receiving economic hardship support under emissions regulations. The dataset details the names of designees and the specific types of program support provided, such as Additional Compliance Flexibility or Benchmark Allocation. It is maintained by the Government of Alberta and was last updated in March 2026.
Junyan Lyu's sensitivity analysis dataset contains experimental results from a reinforcement learning study on multi-agent energy management for power routers. The 5.5 KB XLS file details performance metrics like round rewards and voltage fluctuations from 420 training episodes. The dataset was uploaded to figshare in April 2026.
420 training runs of a multi-agent reinforcement learning algorithm for power router energy management are documented. The dataset contains experimental results from an ablation study comparing an improved Proximal Policy Optimization algorithm with a double-buffer mechanism against other models. It was authored by Junyan Lyu and uploaded to figshare in April 2026.
Experimental results from a study integrating Proximal Policy Optimization with a multi-agent framework for power router energy management. The 5.5 KB XLS file contains metrics like average round reward, strategy loss, DC bus voltage, electricity cost, and runtime from 420 training episodes. Author Junyan Lyu published the data on figshare in April 2026.
Reports from the Natural History Museum detail individual transactions exceeding £25,000. The data is published under the OGL-UK-3.0 license and was last updated in May 2026. This collection likely provides a record of significant purchases and contracts for public transparency.
Himawari-8 satellite data provides high-frequency 10-minute and ~2km resolution sea surface temperature (SST) observations. The dataset was used to investigate the Bonney Coast upwelling, East Australian Current variations, and Madden-Julian Oscillation diurnal SST signals between 2015 and 2017. Analysis was presented by the Australian Ocean Data Network at the 2019 Australian Marine Science Association conference.
Himawari-8 satellite data provides high-frequency 10-minute and ~2km resolution sea surface temperature (SST) observations. The dataset was used to investigate the Bonney Coast upwelling, East Australian Current variations, and Madden-Julian Oscillation diurnal SST signals between 2015 and 2017. Analysis was presented by the Australian Ocean Data Network at the 2019 Australian Marine Science Association conference.
ESTA Database Locations standardizes projected coordinates for slave trade movements in the Indian Ocean and East Asia from the 16th to 19th centuries. The dataset includes locations classified into four region categories, from continents to subregions, with coordinates assigned varying degrees of probability and accuracy. It was created by Pascal Konings and updated in June 2026.
24 mice were divided into four groups for an eight-week study investigating sakuranetin's effects against DMBA-induced skin tumorigenesis. The dataset likely contains results from hematological evaluations, antioxidant enzyme levels, lipid peroxidation, and pro-inflammatory markers, as described in the supplementary material. The data was uploaded by figshare admin karger and last updated on 2026-04 09.
1.7 GB of MATLAB files contain spike times, head direction, and position data from Lister Hooded rats, supporting a 2026 study. The data includes recordings from individual sessions and source data for manuscript graphs. Author Kate Jeffery published the dataset on figshare under a CC-BY-4.0 license.
Eastern Antarctica bathymetry data compiled by Geoscience Australia in agreement with the Australian Antarctic Division. The dataset was used to support Australia's contribution to the development of the Representative System of Marine Protected Areas at a CCAMLR workshop in Brest, France in August 2011. The data is hosted by the Australian Ocean Data Network.
February 25, 1997 through June 11, 2008 of volumetric lightning mapping data collected at the Kennedy Space Center. The dataset provides level 1 lightning location data in near real-time, with coordinates representing distance in meters from a central network point at latitude 28.5387 and longitude -80.6428. It was created by the GHRC_DAAC organization to support Space Shuttle operations.
1994 growing season measurements of foliar respiration from boreal vegetation, collected by the NASA BOREAS TE-02 team in the Northern Study Area (NSA). This dataset supports efforts to characterize respiration of foliage, roots, and wood. Its cross-platform presence on Data.gov and NASA Earthdata indicates established scientific use.
Wood respiration measurements were collected in the Northern Study Area (NSA) during the 1994 growing season as part of the BOREAS TE-02 project. The data supports efforts to characterize and interpret respiration from boreal vegetation components. It was collected by the BOREAS TE-02 team and is managed by the National Aeronautics and Space Administration.
Boreal forest vegetation in the SSA region was analyzed for chemical properties during two growing seasons. The NASA BOREAS TE-10 team measured chlorophyll content and carbon, hydrogen, and nitrogen concentrations in relation to sample location and age. This dataset supports the characterization of boreal vegetation reflectance, transmittance, and gas exchange.