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Telescope observations, star catalogs, exoplanet surveys, galaxy morphology, gravitational waves, spectroscopy
3,251 datasets
A correlation-based statistical dataset derived from cosmological N-body simulations of dark matter flow. It contains pairwise statistical measures for particle separations, including density, velocity, acceleration, energy, and momentum, with redshift and scale dependence. The dataset was created by Zhijie Xu of the Pacific Northwest National Laboratory and is available via paperswithcode, Github, and Zenodo.
Zhijie Xu from Pacific Northwest National Laboratory created this dataset of dark matter halo properties from cosmological N-body simulations. The dataset presents the redshift and mass scale dependence of halo properties like momentum, energy, size, shape, velocity, and acceleration. It is part of a two-part series on dark matter flow statistics and is available on platforms like Zenodo and GitHub.
XGM2019e is a global gravity field model represented by spheroidal harmonics up to degree/order 5399, corresponding to a spatial resolution of about 4 kilometers. It combines the satellite model GOCO06s for longer wavelengths with terrestrial gravity anomalies and data derived from satellite altimetry and topography. The model was developed by Philipp Zingerle of the Technical University of Munich.
ASCII data for measured and calculated absorption coefficients associated with a paper on developing a safe explosive simulant. The data was collected or modeled as part of research at the University of Leeds to create non-hazardous mixtures mimicking Semtex-H's terahertz spectral features. It supports the testing of security screening systems without requiring real explosives.
Hamiltonian Monte Carlo samples of the posterior distribution for planetary and stellar parameters from the TOI-2000 exoplanet system discovery paper. The dataset is stored in NetCDF format and is intended to be read by the Python package ArviZ. The research was authored by Lizhou Sha from the University of Wisconsin–Madison.
Spectra of RR Lyrae variable stars obtained with the Las Campanas Observatory Du Pont Telescope and its echelle spectrograph, which has a spectral resolving power R ~= 27,000. The collection includes essentially all Du Pont spectra for this work collected between 2006 and 2014, led by George Preston and collaborators. Individual spectra have typical signal-to-noise values < 30 and are fully reduced on a laboratory wavelength scale.
652 monthly tap water samples were collected from 92 sites across China between December 2014 and November 2015. The dataset contains isotopic compositions (δ2H, δ18O, δ17O) and derived variables (d-excess, 17O-excess), analyzed using a Triple Water Vapor Isotope Analyzer. It was created by Chao Tian of the Chinese Academy of Sciences to provide a national-scale monthly record of tap water isotopes.
Three field surveys in Darwin Harbour, Australia, compared water quality, sediment composition, and metabolic processes in tidal creeks under different sewage loads. Buffalo Creek, receiving the largest sewage input, showed benthic nutrient fluxes over an order of magnitude higher than the oligotrophic Reference Creek. The study, likely from the Australian Ocean Data Network, identified pelagic primary production and denitrification efficiency as key processes affected by nutrient loading.
NHS Digital provides a subset of statistics from the Mental Health Services Data Set (MHSDS) for people identified as having learning disabilities and/or autistic spectrum disorder characteristics. The dataset is available in CSV and XLS formats under the OGL-UK-3.0 license. It was last updated on 2026-07-08.
Palynological analysis of the marine Oligocene-Miocene Geera Clay and Renmark Group in the Oakvale-1 corehole, western Murray Basin, South Australia. The dataset contains diverse and well-preserved assemblages of spores, pollen, and dinoflagellates, providing fossil records for extant Australian taxa and the first Australian fossil records for some pollen types. A quantitative zonation based on major pollen taxa frequencies divides the sequence into two major zones, with the younger zone further divided into four sub-zones.
Late Cretaceous-Palaeogene calcareous nannofossil assemblages from the Challenger No. 1 well offshore Perth Basin revise the age of the Challenger Formation type section from Late Eocene to Middle Eocene-Oligocene. The dataset, provided by the Australian Ocean Data Network, identifies three major disconformities and shows the section is more complete than coeval sections from nearby Deep Sea Drilling Project sites. It contrasts offshore marine Palaeogene continuity with the single onshore unit, the Kings Park Formation.
Three optical fields from the MeerLICHT telescope, including Omega Centauri and Fornax galaxy cluster images, are paired with catalogs of Gaia EDR3 sources. This dataset supports the AutoSourceID-Light framework for rapid source localization in astronomical images. The data was created by Fiorenzo Stoppa of Radboud University Nijmegen and is associated with a published paper and code repository.
Nannofossil and planktic foraminiferal biostratigraphy data from the Australian Ocean Data Network examines the Oligocene-Miocene boundary in the Indo-Pacific region. The description suggests the dataset contains evidence on the depth-related first appearance of species like Globigerinoides quadrilobatus primordius and the co-occurrence of Globorotalia opima opima. It proposes a combined planktic foraminiferal zone N3/4 and a buffer zone for the boundary transition.
Slavko Bogdanov of Columbia University provides cleaned, filtered, and phase-folded NICER event data for the millisecond pulsar PSR J0030+0451. The data set was used for neutron star mass-radius and dense matter equation of state inference analyses in companion papers by Miller et al. 2019, Riley et al. 2019, and Raaijmakers et al. 2019. It consists of an event file processed using HEASoft 6.251 and NICERDAS version 5.0.
Three stars in the globular cluster M4 exhibit a new class of stellar variability at the millimagnitude level, not previously seen in similar stars. The dataset contains about 80 days of light curve data derived from NASA's Kepler/K2 mission images. Joshua Wallace of Princeton University authored this dataset.
Anna Kúkoľová of École Polytechnique Fédérale de Lausanne published raw data associated with a 2021 CrystEngComm manuscript. The data likely contains reference Raman signatures for distinguishing cubic, hexagonal, and tetragonal phases in the FeGe system, including FeGe, FeGe2, and Fe2Ge3. Experimental results are substantiated by first-principles lattice dynamics calculations, transmission electron microscopy, X-ray diffraction, and magnetic measurements.
Experimental and computational data from a 2021 CrystEngComm manuscript by Anna Kúkoľová of École Polytechnique Fédérale de Lausanne. The data establishes reference Raman signatures for distinguishing between cubic, hexagonal, and tetragonal phases in the FeGe system. The results are substantiated by first-principles lattice dynamics calculations, transmission electron microscopy, X-ray diffraction, and magnetic measurements.
Data for a 2020 publication in the Journal of Chemical Physics. Contains simulated linear and two-dimensional spectra for the S1-S0 electronic transition of phenol, along with excited-state and ground-state ab initio trajectories calculated at the PBE0/6-311G(d,p) level of theory. The dataset was produced by Tomislav Begušić at École Polytechnique Fédérale de Lausanne.
Original data for the in vivo experiments from the article Universal Dynamic Fitting of Magnetic Resonance Spectroscopy by William T Clarke et al. from the University of Oxford. The data accompanies an online code repository and includes two files: one with NIfTI-MRS formatted data for an fMRS example and another with MATLAB .mat data for a dwMRS example. If used, please cite the original work and the originating publications.
2004 to 2025 monitoring data presents the trophic status of lakes in Québec, classifying them from ultra-oligotrophic to hyper-eutrophic based on biological productivity. The dataset is provided by the Government and Municipalities of Québec under a CC-BY-4.0 license and was last updated in June 2026. It is available in multiple formats including CSV, GEOJSON, and ESRI REST.