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Physics datasets
archive 2025-07-2832 datasets carry the modality tag "Physics", ordered by the archive's paper count. Page 1 of 1: 32 shown of 32. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Images 3,239Texts 3,130Videos 1,014Audio 480Medical 3943D 380Time series 294Graphs 282Tabular 267Speech 197RGB-D 190Environment 147Point cloud 134Biomedical 122LiDAR 94RGB Video 87Tracking 77Biology 70Actions 673d meshes 64Tables 50Music 47EEG 44Hyperspectral images 44Stereo 44MRI 39Physics 32Interactive 29Dialog 25Midi 226D 17Replay data 11Financial 10Ranking 10Cad 9fMRI 7Parallel 6Lyrics 2PSG 2
Physics datasets 1–32 of 32
JetClass (A Large-Scale Dataset for Deep Learning in Jet Physics)
JetClass is a new large-scale dataset to facilitate deep learning research in particle physics.
11 papers · 1 benchmark
JetNet is a particle cloud dataset, containing gluon, top quark, light quark jets saved in .csv format.
11 papers · 0 benchmarks
hls4ml LHC Jet dataset (hls4ml LHC Jet dataset (100 particles))
Dataset of high-pT jets from simulations of LHC proton-proton collisions Prepared for FastML/HLS4ML studies: https://fastmachinelearning.org Includes: High level features (see https://arxiv.org/abs/1804.06913) Images: jet images with up to…
8 papers · 0 benchmarks
MLPF (Simulated particle-level dataset of ttbar with PU200 using Pythia8+Delphes3 for machine learned particle flow (MLPF))
Dataset of 50,000 top quark-antiquark (ttbar) events produced in proton-proton collisions at 14 TeV, overlaid with minimum bias events corresponding to a pileup of 200 on average.
7 papers · 0 benchmarks
CMD is a publicly available collection of hundreds of thousands 2D maps and 3D grids containing different properties of the gas, dark matter, and stars from more than 2,000 different universes.
6 papers · 0 benchmarks
The dataset consists in many runs of the same quantum circuit on different IBM quantum machines.
5 papers · 0 benchmarks
ClimART (Climate Atmospheric Radiative Transfer)
Numerical simulations of Earth's weather and climate require substantial amounts of computation.
4 papers · 0 benchmarks
DrivAerNet (A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction)
DrivAerNet is a large-scale, high-fidelity CFD dataset of 3D industry-standard car shapes designed for data-driven aerodynamic design.
4 papers · 0 benchmarks
PDEBench provides a diverse and comprehensive set of benchmarks for scientific machine learning, including challenging and realistic physical problems.
4 papers · 0 benchmarks
This dataset is the outcome of a data challenge conducted as part of the Dark Machines Initiative and the Les Houches 2019 workshop on Physics at TeV colliders.
3 papers · 0 benchmarks
This dataset contains the data for the paper 'Using Multiple Instance Learning for Explainable Solar Flare Prediction'.
3 papers · 0 benchmarks
PDE dataset (Parametric Partial Differential Equation dataset)
Contains data of parametric PDEs - Burgers' equation - Darcy's flow - Navier-Stokes equation
3 papers · 0 benchmarks
2D site-percolation threshold (Daniel García Solla)
The dataset is a .h5 file comprised of entries with keys of the form (n,m), denoting the dimensions of the system matrix on which the simulations have been performed.
2 papers · 0 benchmarks
Multirotor gym environment for learning control policies for various unmanned aerial vehicles.
2 papers · 0 benchmarks
Datasets of QCD jets used for studying unfolding in OmniFold: A Method to Simultaneously Unfold All Observables.
2 papers · 0 benchmarks
RLU (RL Unplugged)
RL Unplugged is suite of benchmarks for offline reinforcement learning.
2 papers · 0 benchmarks
SuperCaustics is a simulation tool made in Unreal Engine for generating massive computer vision datasets that include transparent objects.
2 papers · 0 benchmarks
Vibrating Plates (Vibrating Plates Dataset for Vibroacoustic Frequency Response Prediction)
We present a structured benchmark dataset for a representative vibroacoustic problem: Predicting the frequency response for vibrating plates.
2 papers · 0 benchmarks
Dataset of low fidelity resolutions of the RANS equations over airfoils.
1 paper · 0 benchmarks
Simulation data and pre-trained Graph Neural Network (GNN) models produced in [1].
1 paper · 0 benchmarks
This dataset provides neutron and gamma-ray pulse signals for pulse shape discrimination experiments.
1 paper · 0 benchmarks
Neural network model files and Madgraph event generator outputs used as inputs to the results presented in the paper "Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the…
1 paper · 0 benchmarks
This dataset contains simulated synthetic particle decays, simulated using the PhaseSpace library.
1 paper · 0 benchmarks
MODIS AOD (imputed) (Pre-processed MODIS AOD and ERA5 data (2003-2022) for North Africa)
Structured atmospheric data for AI/ML Long-term, pre-processed, atmospheric datasets for use in Machine Learning/AI based forecasting.
1 paper · 0 benchmarks
SPAVE-28G on NSF POWDER (Propagation Measurements and Analyses at 28 GHz via an Autonomous Beam-Steering Platform)
This paper details the design of an autonomous alignment and tracking platform to mechanically steer directional horn antennas in a sliding correlator channel sounder setup for 28 GHz V2X propagation modeling.
1 paper · 0 benchmarks
This dataset contains over 47,000 LEGO structures of over 28,000 unique 3D objects accompanied by detailed captions.
1 paper · 0 benchmarks
This repository contains data for the NeurIPS conference paper titled "Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power".
1 paper · 0 benchmarks
pd4ml (Physics Data for Machine Learning)
pd4ml is a collection of datasets from fundamental physics research -- including particle physics, astroparticle physics, and hadron- and nuclear physics -- for supervised machine learning studies.
1 paper · 0 benchmarks
FSI (Fluid-Solid interaction)
Data Set Structure Fluid Structure Interaction(NS +Elastic wave) The TFfsi2results folder contains simulation data organized by various parameters (mu, x1, x2) where mu determines the viscosity and x1 and x2 are the parameters of the inlet…
0 papers · 0 benchmarks
This record contains the saddle search output logs for Sella and EON (dimer, with and without GPR acceleration).
0 papers · 0 benchmarks
Laser powder bed fusion (LBPF) is the additive manufacturing (3D printing) process for metals.
0 papers · 0 benchmarks
SynD (A Synthetic Energy Dataset for Non-Intrusive Load Monitoring in Households)
SynD is a synthetic energy dataset with a focus on residential buildings.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.