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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
39,933 datasets
A suite of raster GIS models predicts the likelihood of Aboriginal site features across New South Wales. The Aboriginal Sites Decision Support Tool (ASDST) contains separate layers for features like stone artefacts, rock art, burials, and scarred trees, with versions for pre-colonisation and current landscapes. The Department of Planning, Industry and Environment produced the current Version 7.5 in 2020 at 50-meter resolution.
New South Wales is covered by a raster GIS model predicting the likelihood of Aboriginal site features prior to European colonization. The dataset includes separate layers for specific feature types like stone artefacts and rock art, with cell values ranging from 0 to 1000. It was produced by the NSW Department of Planning, Industry and Environment in 2020 at 50-meter resolution.
A geospatial raster dataset predicting the likelihood of Aboriginal heritage site features across New South Wales, Australia. The dataset, produced by the NSW Department of Planning, Industry and Environment in 2020, includes separate layers for ten feature types like stone artefacts, rock art, and burials. It contains current and pre-colonial likelihood models with cell values ranging from 0 to 1000.
A 2020 predictive model from the NSW Department of Planning, Industry and Environment estimating the likelihood of Aboriginal burial sites across New South Wales prior to European colonization. The Aboriginal Sites Decision Support Tool (ASDST) suite includes raster layers for multiple site feature types, with cell values ranging from 0 to 1000 indicating relative likelihood. The data is provided in Esri GRID format at 50-meter resolution.
A 30-year Canada-wide product provides Landsat-derived burned severity metrics for fire events from 1985 to 2015. It includes layers for NBR/dNBR indices, fire year, Julian day of fire, salvage logging presence, and pre-fire forest attributes at a 30-meter pixel resolution. The dataset was created by Natural Resources Canada and is derived from the Canada Landsat Disturbance (CanLaD) product.
The ASDST Grinding Grooves Pre1750 Model is a raster GIS layer predicting the likelihood of Aboriginal grinding groove features in New South Wales, Australia, prior to European colonization. It was produced by the NSW Department of Planning, Industry and Environment in 2020 as part of the Aboriginal Sites Decision Support Tool. The model covers the entire state at a 50-meter resolution, with cell values ranging from 0 to 1000 indicating relative likelihood.
Australian Institute of Marine Science (AIMS) and CSIRO collected water samples in the Herbert River catchment before, during, and after the flood associated with Cyclone Sadie in January-February 1994. The dataset includes time-series measurements of dissolved and particulate nutrients, suspended sediment, and salinity from a primary site at John Row Bridge, with additional sampling at other bridges. The study aimed to estimate the export of nutrients and sediment from the catchment to the Great Barrier Reef lagoon during a major flood event.
A geospatial predictive model estimating the likelihood of pre-European colonization Aboriginal site features, specifically western mounds and shell deposits, across New South Wales. The model is part of the Aboriginal Sites Decision Support Tool suite produced by the NSW Department of Planning, Industry and Environment in 2020. It uses a relative likelihood scale from 0 to 1000 at a 50-meter resolution in a Geographic Coordinate System.
ASDST Coastal Middens Pre1750 Model is a raster GIS layer predicting the likelihood of Aboriginal coastal midden sites across New South Wales prior to European colonization. The model was developed by the NSW Department of Planning, Industry and Environment in 2020, with cell values from 0 to 1000 indicating relative likelihood. It is part of a larger Aboriginal Sites Decision Support Tool suite designed to support landscape planning for Aboriginal heritage.
The dataset contains Level-2 satellite data from the Aura Ozone Monitoring Instrument (OMI), providing the geolocation of pixel corners for each ground observation. It supports the visualization of atmospheric data products, calculation of pixel areas for emission estimates, and cross-platform mapping with other sensors like MODIS. Data is stored in HDF-EOS5 format, with approximately 14 orbit files generated per day, each covering the sunlit portion of an orbit (~53 minutes) and averaging 5 MB in size.
This dataset lists properties currently or historically owned and managed by the City of Chicago, including details on acquisition, disposition, and active sale offerings. Columns suggest it likely contains parcel identifiers, geographic coordinates, community areas, and recent additions for sales status, land value, and application deadlines for development opportunities. The data is intended for informational purposes and carries a legal disclaimer against use for professional due diligence.
Experimental and simulation data from three independent experiments irradiating primary endothelial cells with monoenergetic neutrons at 2.5 or 15.1 MeV. DNA damage was assessed via γ-H2AX foci formation 30 minutes post-irradiation, with doses under 0.12 Gy. The dataset was authored by Géraldine Gonon and last updated on 2026-05-20.
Global satellite-derived data provides 8-day composites of actual and potential evapotranspiration and latent heat flux at a 500-meter resolution. The VJ116A2 algorithm uses the Penman-Monteith equation, incorporating meteorological reanalysis and VIIRS vegetation and albedo data. Layers include total water loss and average daily energy flux, with a quality control layer and browse images.
NOAA-20 VIIRS gap-filled data provides cumulative 8-day composites of Gross Primary Productivity and Net Photosynthesis at 500-meter resolution. This Level 4 product uses linear interpolation to clean poor-quality inputs from Leaf Area Index and Fraction of Photosynthetically Active Radiation data. It is generated annually, not in near-real-time, for modeling terrestrial energy, carbon, and water cycles.
A dataset for recognizing five typical drainage patterns—rectangular, pinnate, dendritic, parallel, and fanned—using vector river network data converted to directed graph structures. The data was used to train a Gated Sparse Graph Transformer (GSGT) model, achieving an accuracy of 95.72% on a US dataset and 92.32% in a cross-regional test on New Zealand data. The dataset was authored by hao Zhang and last updated on June 4, 2026.
A 2026 case report from figshare details two male patients who developed foot drop following tirzepatide-induced weight loss. The 1.7 MB PDF document describes patient histories, weight loss amounts, symptom onset, and treatment outcomes. It was authored by figshare admin karger and is licensed under CC-BY-4.0.
In 2008, Exploration Syndicate Inc. contracted Geotech Inc. to fly a regional-scale ZTEM survey covering a 25,000 km2 area in the Selwyn basin. The Yukon Geological Survey purchased the data in 2013, and Condor Consulting Inc. later processed it to generate maps, gridded data, and a report. The dataset includes raw survey data, acquisition reports, processed grids, and maps in PDF and TIFF formats.
Joshua M. Hess published a key resource table for the MIAAIM framework on figshare in May 2026. The 17.5 KB XLS file supports the alignment and analysis of multi-omics tissue imaging data from platforms like histological staining, imaging mass cytometry, and mass spectrometry imaging. The framework was validated on a diabetic foot ulcer biopsy and prostate cancer tissue microarrays.
18 compounds were studied in a structure-activity relationship analysis to optimize an imidazolium-based neuromuscular blocking agent. The monofluorinated macrocycle IMC-X5 demonstrated a 47% faster onset, 34% longer profound blockade, and 89% shorter recovery time compared to the lead compound IMC-0 in rat model tests at a 0.2 mg/kg dose. The dataset, shared by Shi-Xian Gan in May 2026, likely contains the experimental results supporting these findings.
Environmental Monitoring Data System point locations show where discrete environmental monitoring may have occurred in British Columbia. Locations include natural settings like rivers and lakes, as well as anthropogenic features such as wells and industrial waste discharges. Observational results for each location are accessible via separate web reporting and data record resources.