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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
40,756 datasets
A regional geological carbon storage screening study for the Shipwreck Trough offshore Otway Basin. The study employed 2D basin modelling along three seismic transects, integrating seismic interpretation, well data, and geochemical analyses to evaluate storage capacity and containment risks. It was published by Geoscience Australia Data.
Victorian Coastal Inundation Dataset consists of eight spatial layers modelling land subject to coastal inundation due to projected sea level rise and storm tide from 2009 to 2100. The dataset supports the Victorian Government's Future Coasts Project and is intended for regional-scale assessments. It includes specific projections for sea level rise and 1-in-100 year storm tide events with added wind forcing for the years 2040, 2070, and 2100.
European geostationary satellite data captures atmospheric conditions over the Atlantic and Africa during the 2010 GRIP hurricane experiment. The dataset includes infrared, visible, and water vapor radiance measurements from the SEVIRI instrument across 12 spectral channels. It was produced through a collaboration between NASA, EUMETSAT, and the European Space Agency.
Annual compliance history ratings and classifications for regulated entities and their customers in Texas, calculated by the Texas Commission on Environmental Quality (TCEQ). The data is published by November 15 each year, with classifications ranging from 'High Performer' to 'Unsatisfactory Performer'. It is sourced from the data.texas.gov platform via Socrata.
50 spectral bands of calibrated radiance data were collected during a single flight over California and Nevada on December 2, 1998. The dataset provides Level 1B georeferenced imagery at approximately 10-meter spatial resolution, covering wavelengths from 0.460 to 12.879 micrometers. This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory for the primary purpose of validating the MODIS/ASTER Airborne Simulator (MASTER) instrument.
NASA's NAMMA TOGA Radar Data V1 contains products from a C-band scanning radar deployed in Cape Verde during the 2006 African Monsoon Multidisciplinary Analyses campaign. The radar operated nearly continuously from August 15 to September 16, 2006, collecting measurements of horizontal reflectivity (ZH), radial velocity (VR), and spectral width (SW). This dataset supports research into African Easterly Waves and Mesoscale Convective Systems and their impacts on regional water and energy budgets.
PREFIRE's dual CubeSats carry a 63-channel spectrometer measuring mid- to far-infrared radiation from 5 to 53 µm, a spectral range where most polar emissions occur but which has not been measured on a large scale. The dataset provides retrieved cloud top pressure, cloud optical depth, and cloud particle diameter to fill knowledge gaps in the global energy budget for assimilation into climate models. Its primary purpose is to inform a coarse spectral flux product, and the collection is not suitable for detailed analysis of specific cloud properties.
PREFIRE's Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard the PREFIRE-SAT1 CubeSat measures mid- and far-infrared radiation across 63 spectral channels from approximately 5 to 53 µm. This dataset contains derived spectral flux at the top of the atmosphere and broadband Outgoing Longwave Radiation (OLR), retrieved via an Optimal Estimation method using auxiliary cloud and meteorological data. Its primary purpose is to quantify the polar energy budget by characterizing previously unmeasured far-infrared emissions on a large scale.
A dataset supporting a 3D geological modeling study of the Songshugang Ta-Nb deposit in Hengfeng, Jiangxi. The data, authored by Wenlong Jin, was used to integrate multi-source borehole and profile data with expert knowledge for high-precision reconstruction and deep target prediction. The dataset was last updated on 2026-05-18.
Sentinel-5P TROPOMI Level-1B data provides calibrated radiance and irradiance measurements from a satellite spectrometer covering ultraviolet-visible, near-infrared, and shortwave infrared wavelengths. The product is generated by the Royal Netherlands Meteorological Institute (KNMI) and includes calibration and engineering data in netCDF-4 format. Starting August 6, 2019, the data features an along-track high spatial resolution of approximately 5.5 kilometers at nadir.
Sentinel-5P's TROPOMI instrument is a nadir-viewing hyperspectral spectrometer with a 108-degree field of view, capturing data across ultraviolet-visible, near-infrared, and shortwave infrared wavelengths. Its Level-1B product provides calibrated radiance, irradiance, and engineering data, with a spatial resolution of approximately 5.5 km at nadir implemented from August 6, 2019. This dataset is processed by the Royal Netherlands Meteorological Institute (KNMI) using a netCDF-4 enhanced model.
Simulation results from a joint power-time optimization framework for RFID-based wireless power transfer systems. The dataset, shared by Lina Yuan on figshare in May 2026, likely contains metrics comparing the proposed method to conventional PID control. The 5.5 KB XLS file reports a 37.6% peak efficiency and a 61.9% reduction in power fluctuations for IoT tags operating over 0.5–5 meter distances.
NASA's MODIS Airborne Simulator captured 50 spectral bands of calibrated imagery during the Tropical Cloud Systems and Processes (TCSP) mission to study hurricane formation. The instrument, flown on an ER-2 aircraft at 19.8 km altitude, provides data at 50-meter spatial resolution across visible, shortwave, mid-wave, and thermal infrared wavelengths. This dataset was developed primarily to validate Level 1B and Level 2 science products from the EOS satellite program.
Research data from figshare, last updated 2026-05-25, investigates the role of HA-P221L and PB2-T521I amino acid substitutions in enhancing the virulence of H3N8 avian influenza virus in mice. The dataset, licensed under CC-BY-4.0, includes files in DOCX, ZIP, JPG, and XLSX formats totaling 4.6 MB. It provides insights into viral adaptation mechanisms and pandemic risk assessment for currently circulating strains.
89 proteomes spanning major metazoan lineages were analyzed to reconstruct the evolutionary history of the histaminergic signaling system. The study, authored by Ankit Thakur and last updated in June 2026, used homology searches, phylogenetic reconstruction, and gene tree–species tree reconciliation. It focuses on core gene families involved in histamine biosynthesis, degradation, transport, and signaling.
NASA/NOAA's VIIRS/NPP Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid Night V002 (VNP21A1N) is a daily, global satellite-derived dataset. It provides nighttime land surface temperature and emissivity values at a 1-kilometer resolution, processed from VIIRS sensor data on the Suomi NPP satellite. The product is algorithmically compatible with MODIS LST data to ensure continuity in Earth observation records.
NOAA-20 VIIRS Land Surface Temperature and Emissivity Night Version 2 product provides daily, global 1-kilometer gridded data. The dataset contains seven science variables, including land surface temperature, quality control, emissivity for three spectral bands, view zenith angle, and observation time. It is algorithmically compatible with MODIS products to ensure continuity of Earth observation records.
Eight spatial layers model coastal inundation for Victoria, Australia, from 2009 to 2100. The dataset includes projections for sea level rise alone and combined with 1-in-100-year storm tide events. It was created by the Department of Energy, Environment and Climate Action to support the Victorian Government's Future Coasts Project.
Newfoundland and Labrador waters provide the location for raw stomach content data collected from harp seals (Pagophilus groenlandicus) between 2017 and 2021. Fisheries and Oceans Canada personnel and licensed seal hunters gathered the samples, with seal ages determined by counting tooth annuli. Prey species were identified by comparing whole specimens or hard parts to reference materials.
315 valid survey responses from small and medium-sized enterprises in Ghana's garment and textile sector, collected by Kweku Safo-Ankama. The data was gathered via simple random sampling and analyzed using Partial Least Square Structural Equation Modelling (PLS-SEM 4.0). Findings focus on the drivers of sustainable practices, including sustainability challenges, material access, and economic constraints.