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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
9,928 datasets
Tree root respiration data were collected by the BOREAS TE-02 team to characterize respiration in boreal vegetation. Measurements focus on fine roots with diameters from 0 to 2 mm. The data were gathered in the NSA during the 1994 growing season.
A 5.5 KB Excel file containing expert consensus data on learning resources for a metaverse-supported blended English as a Foreign Language (EFL) module. The dataset was authored by Yuliang Jiao and is licensed under CC-BY-4.0. It was last updated on April 16, 2026.
Yuliang Jiao published expert consensus data on assessment for a blended English as a Foreign Language module supported by the metaverse. The dataset is a 5.5 KB Excel file last updated in April 2026.
Expert consensus data on learning activities for a blended English as a Foreign Language (EFL) module supported by the metaverse. The dataset is a 5.5 KB Excel file authored by Yuliang Jiao and last updated on April 16, 2026. It is licensed under CC-BY-4.0 and hosted on figshare.
Yuliang Jiao's dataset captures expert consensus on instructional strategies for blended English as a Foreign Language modules supported by the metaverse. The dataset is a 5.5 KB Excel file, last updated on April 16, 2026, and is licensed under CC-BY-4.0.
A dataset on figshare contains expert consensus regarding learning content for blended English as a Foreign Language modules supported by the metaverse. The dataset was authored by Yuliang Jiao and last updated on April 16, 2026. It is stored as an Excel file with a size of 5.5 KB.
Expert consensus data on learning objectives for a blended English as a Foreign Language module supported by the metaverse. The dataset is a 9.5 KB Excel file authored by Yuliang Jiao and last updated in April 2026. It likely contains structured expert opinions or ratings on pedagogical goals.
Government of Canada data extracts detail public opinion research projects and funding by department per fiscal year. The dataset consolidates information from annual reports published by Public Services and Procurement Canada. It supports transparency and analysis of government research activities.
English-centric, multi-turn chat examples for supervised fine-tuning and alignment work, shared by VDF AI. Conversations frame the assistant as a Scrum and team performance coach drawing on Scrum patterns, systems thinking, and complex adaptive systems perspectives. The dataset was last updated on Hugging Face on 2026-04-29.
Geoscience Australia provides bathymetry data and seafloor imagery from the Gascoyne Marine Park offshore northwestern Australia. The data, collected by the Schmidt Ocean Institute during survey FK200308, highlights canyon environments like the Cape Range Canyon, revealing steep walls, slumping history, and plunge pools. Funding was provided by Schmidt Ocean Institute, Geoscience Australia, the Australian Government’s National Environmental Science Program, the Director of National Parks, and the Foundation for the WA Museum.
A review and methodological framework for designing monitoring programs within Australia's Marine Park network, published in 2019. The work analyzes how study design influences the strength of evidence for answering conservation questions, referencing specific design strategies like randomized controlled trials and cohort studies. It was contributed by Geoscience Australia Data and last updated on the platform in March 2026.
Multibeam sonar, drill core, and video data confirm a previously unknown coral reef province in the Gulf of Carpentaria. The dataset includes mapping of seven reefs, with U/Th dating showing growth commenced around 10.5 kyr BP and persisted for approximately 2.0 kyr. The data was published by Geoscience Australia and last updated in March 2026.
Oceanographic profiles were collected from the R/V Cape Henlopen in the Northwest Atlantic Ocean from August to November 1992. The dataset contains high-resolution measurements of temperature, salinity, density, and other parameters, processed to the NODC F022 standard format. Data collection was conducted by Science Applications International Corporation as part of the Physical Oceanography Field Program Offshore North Carolina.
A 2005 Benthic Bioregionalisation divides Australia's Exclusive Economic Zone into 41 bioregions, including 24 unique provinces. The dataset integrates seabed bathymetry, geomorphic features, fish diversity, and biophysical variables like ocean primary production and seabed sediment properties to support marine protected area planning.
A 2020 update to the seabed geomorphology classification scheme presents a glossary of seabed morphology features. The glossary is intended to provide marine scientists with an accurate way to characterise the seabed, with entries including definitions and schematic diagrams. It results from a collaboration between marine mapping programmes in Norway, Ireland, the UK, and Australia.
Canada's Treasury Board Secretariat maintains an inventory of planned and ongoing experiments within government programs and services to foster learning and prevent duplication. The dataset supports preregistration of experiments to enhance transparency and mitigate bias. Specific row and column counts are not provided.
Government Digital Service published this dataset on the eu_open_data platform. It likely contains records of UK government transactions exceeding £25,000 for the month of March 2021. The data is provided in an EXCEL XLSX format under a CC-BY-4.0 license.
58,794 data points from ship-based surveys provide synchronous physical, chemical, and biological observations. The dataset includes hydrographic variables, nutrient concentrations, phytoplankton biomass and community composition from pigment analysis, and microzooplankton biomass. It supports analyses of eddy-driven physical–biological coupling and its role in regulating primary production.
Since the Last Glacial Maximum, this dataset provides the source data for analyzing anthropogenic and climatic controls on sediment transfer across China. It contains the underlying data used to generate figures and tables from the associated research article. The data is organized in Excel workbooks with dedicated README sheets describing variables, definitions, and units.
3399613 bytes of data investigate the link between discrete negative emotions and affective polarization in US and Israeli citizens. The research identifies disappointment, not hatred, as the strongest and most consistent emotion associated with polarization across ideological groups. This dataset supports analysis of how anger, fear, disgust, contempt, and hatred relate to partisan divides.