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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
40,762 datasets
Total magnetic intensity (TMI) data measures variations in the Earth's magnetic field caused by rock-forming minerals in the crust. The data were acquired in 2006 for Geoscience Australia as part of the GA302 Capel and Faust Basins MSS survey, which also collected seismic, gravity, and bathymetry measurements. Processed data is checked for quality by GA geophysicists to ensure it is fit-for-purpose for revealing sub-surface geological structure.
A sedimentological analysis of Keppel Bay, a macrotidal embayment linking the Fitzroy River to the Great Barrier Reef shelf. The dataset, provided by the Australian Ocean Data Network, includes seabed samples, shear-stress modelling, and three-dimensional acoustic imaging results. It was last updated on 2026-06-05.
85 geochemical and isotopic samples collected from 10 areas across a 300 km linear belt of Triassic volcanic rocks in southwest Yukon. The data was gathered during fieldwork in 2004 and synthesizes previous research on the Wrangellia Terrane, an accreted oceanic plateau. This dataset is part of a larger research project extending from Vancouver Island to central Alaska.
Plastic fragments were found in every one of the 2000 water samples collected from 350 distinct sites during the 2014 Tara Mediterranean expedition. This dataset documents the schooner's survey of plastic interactions with plankton and broader biodiversity. It is hosted by NASA and originates from the expedition's scientific activities.
A dataset likely containing parameters and results from a coarse-grained molecular dynamics study of asphalt. The dataset was created by Huijun Xie and last updated on May 22, 2026. It is stored as an XLSX file with a size of 24.3 KB.
A set of parameters for coarse-grained molecular dynamics force fields, designed for complex mixtures like base asphalt. The dataset was created by Huijun Xie and published on figshare in May 2026. It contains bonded and non-bonded interaction parameters derived via iterative Boltzmann inversion and the Martini 3 framework.
Global land surface data provides daily Bidirectional Reflectance Distribution Function (BRDF) and Albedo quality information at a 1-kilometer resolution. The product is derived from 16-day composites of Suomi NPP VIIRS Day/Night Band observations, using the RossThick/Li-Sparse-Reciprocal kernel-driven model to characterize surface anisotropy and support albedo calculations. It is designed to ensure continuity with NASA's MODIS BRDF/Albedo product suite.
NASA's VNP46A2 product provides daily, gap-filled, lunar BRDF-adjusted nighttime lights data at a 15 arc-second resolution. The dataset contains seven science data layers, including corrected radiance, lunar irradiance, and quality flags for clouds and snow. Version 2.0 represents a significant update, changing the radiance data format to floating-point and extending coverage to include both land and water surfaces.
A dataset from figshare describes a machine learning-integrated workflow for discovering carbamate synthesis reactions. The dataset likely contains experimental results from a high-throughput screening of phenolic and alcohol substrates, with reaction yields predicted by a trained model. The work was authored by Jingyuan Liu and uploaded in May 2026.
A 2026 study by Stacy A. Doore evaluates non-visual methods for interpreting STEM graphics. The research involved 40 blindfolded sighted participants assessing pie charts, Venn diagrams, and line graphs. Results show functionally equivalent accuracy between Natural Language and Haptic+Overview methods, with Natural Language being faster and preferred by 70% of participants.
An Excel dataset of 5.5 KB, last updated in May 2026, containing analysis related to Automated Guided Vehicle (AGV) trajectory tracking. The data was generated by author Tan Zhang to validate an online adaptive optimization strategy for Model Predictive Control (MPC) weight parameters. Validation involved co-simulation using Gazebo and Rviz under the ROS framework and experiments on a forklift-type AGV.
Tan Zhang published a dataset on figshare in 2026 related to the analysis of lateral displacement error for Automated Guided Vehicles (AGVs). The data, stored in an XLS file of 5.5 KB, supports research on an online adaptive optimization strategy for Model Predictive Control (MPC) weight parameters. The dataset was last updated on 2026-05-21.
A small dataset of 5.5 KB, likely containing analysis results for Automated Guided Vehicle (AGV) trajectory tracking. The data was created by author Tan Zhang and published on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-21. It supports a study proposing an online adaptive optimization strategy for Model Predictive Control (MPC) parameters.
Five principal metrics for evaluating generated meals are defined, including Mean Excess Ratio (MER) and Mean Adequacy Ratio (MAR). The dataset is a 5.5 KB XLS file authored by Trevor Chan and shared under a CC-BY-4.0 license on figshare. It was last updated on 2026-05-28.
Field survey records from 59 water bodies over a one-year period support a study on environmental influences on amphibian composition. The dataset includes species presence/absence, site coordinates, and satellite-derived environmental indices like NDVI and LST. It was authored by Alfredo Esparza-Orozco and published via figshare.
Fifty spectral bands of calibrated radiance data were collected during six flights over California and Nevada in March and April 2002. 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, with data products managed by NASA.
Six flights of the MODIS/ASTER Airborne Simulator (MASTER) instrument captured calibrated radiance data over California in November 2007, specifically targeting wildfire-affected areas. The dataset provides Level 1B georeferenced imagery across 50 spectral bands from visible to thermal infrared wavelengths at approximately 10-meter spatial resolution. This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory.
MASTER: Airborne Science, California-Nevada, August 2007 contains Level 1B data products from the MODIS/ASTER Airborne Simulator instrument. The dataset includes calibrated radiance imagery from 50 spectral bands, collected during seven flights over Nevada and California from August 30 to September 2, 2007, with a spatial resolution of approximately 10 meters. This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory for mapping earthquake faults.
Fifty spectral bands of calibrated radiance data were collected over Nevada during a 2006 airborne campaign. The dataset contains Level 1B georeferenced imagery from five flights, with a spatial resolution of approximately 10 meters and coverage from visible to thermal infrared wavelengths. It was acquired by NASA's MODIS/ASTER Airborne Simulator instrument aboard a Department of Energy B-200 aircraft.
MASTER: Airborne Science, California-Nevada, June, 2001 contains Level 1B data from the MODIS/ASTER Airborne Simulator instrument. The dataset includes georeferenced multispectral imagery from seven flights over California and Nevada in June 2001, providing calibrated radiance across 50 spectral bands from visible to thermal infrared wavelengths. This deployment was coordinated by the U.S. Department of Energy's Remote Sensing Laboratory.