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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
10,053 datasets
Replication data supporting a publication on ion exchange membranes. The dataset was published by Nico Marioni via the Texas Data Repository on October 15, 2025. The data likely contains measurements or simulation results related to ion transport and membrane properties.
Town-level data aggregates library services and financial support for public libraries in Connecticut. It includes metrics such as library visits, circulation, registered borrowers, reference questions, and town tax appropriation. The dataset is maintained by the State of Connecticut and was last updated in September 2025.
Western blot images documenting Hippo signaling inhibition in Alzheimer's Disease (AD) mouse models. This dataset was produced by Qitao Ran and released through the Texas Data Repository in October 2025. It provides primary biological imaging data focused on molecular signaling within the Medicine, Health, and Life Sciences domain.
Louisiana Opportunity Zone data from data.brla.gov provides polygon geometry for Census tracts designated as Opportunity Zones in East Baton Rouge Parish. The dataset includes attributes for DISTRICT NAME, DOCUMENT LINK, and DISTRICT TYPE alongside GEOMETRY. It was last updated on August 9, 2025.
A Statistical Data Profile from the U.S. Department of Health & Human Services examines the distribution of FDA-approved opioid overdose reversal medications like naloxone. It uses performance data from two SAMHSA grant programs to monitor the training of first responders and community organization staff to administer these medications.
Department of Commerce data provides national- and industry-level estimates of jobs supported by U.S. goods and services exports. The dataset includes tags for Services, Exports, Manufactured Goods, and Jobs.
Cross section lines represent channel surveys and interpolated data used in hydraulic models for calculating flood elevations. The data originates from FEMA's Flood Insurance Rate Map (FIRM) databases and is continually updated with Letters of Map Revision (LOMRs). It supports floodway data tables and the planimetric depiction of flood hazards.
A Web Feature Service (WFS) provides the urban development plan 'Flachsaecker III' for the city of Bad Urach, Germany. The data has been transformed according to the INSPIRE directive for interoperability. It was last updated on August 21, 2025, and is provided by the Bundesamt für Kartographie und Geodäsie.
WFS Flat Sacker III is a Web Feature Service (WFS) providing geospatial data for the 'Flachsaecker III' development plan in Bad Urach, Germany. The dataset is published by the Bundesamt für Kartographie und Geodäsie and was last updated on August 21, 2025. Its specific contents likely include zoning, land use, and infrastructure features related to the municipal development project.
This commentary from the U.S. Department of Health & Human Services details the role of B-cell-activating factor (BAFF/zTNF4) and its TACI receptor in the pathophysiology of systemic lupus erythematosus (SLE). It highlights BAFF as a regulator of B-cell activation and differentiation and discusses its interaction with TNF-receptor superfamily members.
Louisiana's 2019 Uniform Reporting System tables provide an overview of the state's mental health delivery system. The data supports the Community Mental Health Services Block Grant program, reporting on National Outcome Measures, evidence-based practices, and utilization measures. The U.S. Department of Health & Human Services is the authoritative organization for this dataset.
This database contains character records for five major mobile games—Arknights, Fate/Grand Order, Azur Lane, Girls' Front-Line, and Genshin Impact—aggregated from community wikis. Developed by deepghs, the dataset is maintained through automated crawling of sources like prts.wiki and fgo.wiki as of July 2025.
The 2020 Uniform Reporting System (URS) Output Tables from the U.S. Department of Health & Human Services provide an annual overview of state mental health delivery systems. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence-based practices, and utilization measures to support the Community Mental Health Services Block Grant program.
Louisiana's 2018 Uniform Reporting System tables provide an overview of the state's mental health delivery systems. The data supports the Community Mental Health Services Block Grant program, reporting on National Outcome Measures, evidence-based practices, and utilization measures. The dataset is produced by the U.S. Department of Health & Human Services.
2016 Uniform Reporting System data details Louisiana's state mental health delivery system performance. The dataset contains annual reports on National Outcome Measures, evidence-based practices, and utilization measures. It was collected by the State Mental Health Authority to support the federal Community Mental Health Services Block Grant program.
14,000 text prompts designed for evaluating text preservation in images generated by diffusion models. Each prompt includes pre-extracted target text and 5 Stable Diffusion 3 generated latents, totaling 70,000 latents. The dataset was created by author 'leffff' and last updated on August 12, 2025.
The 2020 Uniform Reporting System (URS) Output Tables for Louisiana provide an annual overview of the state's mental health delivery system. The U.S. Department of Health & Human Services collects this data to support the Community Mental Health Services Block Grant program, reporting on National Outcome Measures, evidence-based practices, and utilization measures.
Digital vector boundaries for National Parks in Great Britain as of December 2022. The boundaries are provided at full resolution, typically extending to the Mean Low Water mark. The dataset is published by the Government Digital Service.
December 2022 digital vector boundaries for National Parks in Great Britain. The data includes full-resolution boundaries clipped to the coastline (Mean High Water mark) and contains Ordnance Survey and ONS Intellectual Property Rights. Version 3 includes updates such as name changes for parks like Loch Lomond and The Trossachs.
CUDA-L1 is an automated reinforcement learning framework for CUDA optimization. The core of the framework is a contrastive RL model designed to enhance optimization through comparative learning. The dataset was created by deepreinforce-ai and was last updated on August 12, 2025.