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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
193,236 datasets
Austria's entire territory is covered by this digital state map at a basic scale of 1:50,000. The cartographic model is free of blades and georeferenced, with updates occurring nationwide at periodic intervals and for significant infrastructural changes. It is produced through a cooperation involving OGD Österreich and Wikimedia Österreich, and serves as the source for other Austrian map series.
63 georeferenced tiles constitute the digital state map covering the entire territory of Austria at a scale of 1:50,000. The cartographic model is updated periodically nationwide and serves as the basis for derived maps like the Austrian map 1:50,000 (ÖK50). This specific tile is one of the 63, provided by a cooperation including Wikimedia Österreich under a CC-BY-4.0 license.
A 50 km x 50 km tile from the digital state map covering the entire Austrian territory at a basic scale of 1:50,000. The cartographic model is free of blades, georeferenced, and updated periodically for significant infrastructural changes. This tile is one of 63 that together form the complete national map, derived from which are the Austrian maps 1:50,000 (ÖK50) and 1:25,000 (ÖK25V).
KM50-R is the digital state map of Austria at a 1:50,000 scale, free of blades and georeferenced. It is produced in cooperation with the Federal Ministry of Defence and serves as the source for the Austrian map 1:50,000 (ÖK50) and 1:25,000 (ÖK25V). The dataset consists of 63 tiles, each covering 50 km x 50 km, which together cover the entire Austrian territory.
KM50-R is the digital state map covering the entire Austrian territory at a basic scale of 1:50,000. It is free of blades and georeferenced, with updates occurring nationwide at periodic intervals and for significant infrastructural changes. The dataset is provided as a 50 km x 50 km tile, one of 63 tiles that together cover Austria, and is derived from the Austrian map 1:50,000 (ÖK50) in cooperation with the Federal Ministry of Defence.
KM50-R is the digital state map of the entire Austrian territory at a basic scale of 1:50,000. It is free of blades, georeferenced, and updated periodically or following significant infrastructural changes. The data is provided as a 50 km x 50 km tile, one of 63 tiles that cover Austria, and is derived from a cooperation between OGD Österreich and Wikimedia Österreich.
Austria's digital state map in a basic scale of 1:50,000, free of blades and georeferenced. The cartographic model is updated nationwide at periodic intervals and also on occasions of significant infrastructural change. This 50 km x 50 km tile is one of 63 tiles that together cover the entire territory of Austria.
Web Map Service (WMS) Vienna provides a service for retrieving map-based geodata as raster images directly from a spatial data source according to the OGC WMS 1.1.1 standard. The service is operated by Cooperation OGD Österreich and Wikimedia Österreich and is published under a CC-BY-4.0 license. It allows users to control map sections, resolution, format, and projection, with retrieved maps reflecting the up-to-dateness of the original data source.
DVLA driving licence data provides a snapshot of current licences issued by the Driver and Vehicle Licensing Agency in Great Britain. The dataset is a point-in-time extract from the constantly updated DVLA drivers database. It is published by the UK Department for Transport and was last updated on 2026-06-26.
Twenty 250 x 10 meter plots in the Brazilian Amazon provide litterfall measurements from January 2015 to October 2018. Study plots represent a gradient of forest disturbance, including undisturbed primary, logged, logged-and-burned primary, and secondary forests. Eight plots were affected by understory fires during an El Niño-mediated drought in December 2015, enabling analysis of fire impacts on forest productivity.
Twenty 250x10 meter plots in the Brazilian Amazon provide stem respiration measurements across a gradient of forest disturbance types, including undisturbed, logged, logged-and-burned, and secondary forests. Data collection spanned from June 2015 to July 2018, capturing a significant El Niño-mediated drought event in December 2015 that triggered understory fires in eight plots. This dataset offers a direct comparison of carbon cycling processes in human-modified tropical forests under both typical and extreme climatic stress.
Abalone size at maturity data collected from sites around Tasmania from 1988. The database is provided by the Australian Ocean Data Network and was last updated in July 2026. It likely contains measurements for assessing the reproductive development of this marine mollusk.
Yu He's dataset supports a comparative study of baseline 18F-FDG PET/CT habitat radiomics versus dual-channel deep learning for predicting early metabolic response in diffuse large B-cell lymphoma. It contains data from 148 patients (101 EMR, 47 non-EMR) retrospectively enrolled between December 2018 and August 2024. The dataset was last updated on June 4, 2026.
Four reanalysis datasets (ERA5, ERA-Interim, MERRA-2, JRA-55) provide time series of the PV-gradient tropopause from 1980 to 2017. Katharina Turhal of Forschungszentrum Jülich computed the data using the Eddy Tracking Toolkit, with four daily time steps across isentropic levels. The datasets contain variables like wind speed and location of the tropopause, grouped by hemisphere in NetCDF4 format.
University of California, Los Angeles researcher Ines Fenni provides simulation results and code for evaluating orientation-averaged single-scattering properties of ice particles. The dataset includes results from the MIDAS and DDSCAT electromagnetic scattering codes, comparing high-order quadrature schemes like Lebedev quadrature and spherical designs. It contains simulation data for cylinders and a convergence study of ten particle shapes, along with Fortran subroutines and Matlab functions for analysis and plotting.
Stockholm University provides a multi-modal dataset for the zirconium ellagate material SU-102. It contains raw 3D electron diffraction frames, scanning transmission electron microscopy images of cross-sectioned crystals, and tabular data from lab-scale adsorption and photodegradation studies of pharmaceutical contaminants. The data supports research in materials characterization and environmental remediation.
A curated subset of PDB structure files from the OPM database, downloaded on February 22, 2023. The files contain alpha-helical integral membrane proteins with at least three transmembrane regions at a resolution better than 2.7 Angstroms. The dataset was curated by Szula Kane of Stockholm University for an MSc thesis project on structural characterization.
A collection of datasets for Neural Networks for Full Phase-space Reweighting and Parameter Tuning, generated with the Pythia 8.230 event generator. Particle-level e+e- -> Z -> dijet events with about 100 particles per event are clustered into jets using the anti-kt algorithm. Each jet is presented as a list of constituents with parameters for tuning, and the datasets include both training and test sets with specific observables.
Numerical data from finite element model evaluations of ultrasonic guided waves in two carbon fiber composite beams with simulated damage. The dataset includes measurements for quasi-isotropic and cross-ply beams with transverse cracks and delaminations, respectively, under three signal-to-noise ratio conditions. The data was generated by Sergio Cantero‐Chinchilla at the University of Bristol.
Geospatial data on the basal interface of the Martian South Polar Layered Deposits (SPLD) derived from MARSIS radar data. The repository contains point and map data including elevation, thickness, time delay, and brightness measurements. It was created by Aditya Khuller and Jeffrey Plaut in 2021.