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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
194,257 datasets
A complementary dataset for the publication 'Assessing global urban CO2 removal' by Rodriguez et al. in Nature Cities. The data likely contains information on urban carbon dioxide removal efforts worldwide. It is authored by Quirina Rodriguez Mendez from Humboldt-Universität zu Berlin and is available under an Open Access (green) license.
ISEA3H DGGS-based flow routing datasets model water movement across two major river basins. The data was created by Chang Liao at the Pacific Northwest National Laboratory. It is available through the Papers with Code platform under an Open Access license.
Matlab .fig files contain data from a draft manuscript submitted to JGR Planets on May 12, 2021. The data was generated by Corey J. Cochrane of the Jet Propulsion Laboratory for research titled 'In Search of Subsurface Oceans within the Uranian Moons'. The dataset is available under an Open Access (green) license.
Corneille Rogromel from the University of Lausanne provides a dataset defining 302 Large Urban Regions (LURs) across Africa. LURs are aggregated sets of localities forming consistent regions around cities. The definition follows Rozenblat (2020), and the building method for African LURs is detailed in Rogromel (2024).
A dataset characterizing dairy processing waste from 10 different dairy factories in the north of France. The data was compiled by Ángel Velasco‐Sánchez of Wageningen University & Research and is available via the paperswithcode platform under an Open Access (green) license. The specific time range of data collection and the number of samples are not provided in the available metadata.
Data and codes accompany a 2023 Water Resources Research article submitted by João Paulo Lyra Fialho Brêda of Wageningen University & Research. The dataset likely contains predictor importance metrics for hydrological fluxes from global models. It is hosted on Papers with Code under an Open Access (green) license.
6-hour time point data on gene expression changes in T-cells following CD3/CD28 stimulation, with and without the Akt inhibitor Akti1/2. The dataset, authored by Jing Cheng and sourced from paperswithcode, lists genes significantly modulated under different inhibitor conditions. It is available under an Open Access (green) license.
A literature-derived list of tire-related chemicals found in the environment, including analytical data from published studies. The dataset is maintained by Emma Schymanski at the University of Luxembourg and was updated with new chemicals in May 2024. It is hosted on Zenodo with an Open Access license.
Csaba Györgyi's reproducibility package supports the INFOCOM'24 paper SYPER, which presents a method for synthesizing local fast re-routing rules to enhance network dependability. The dataset likely contains tabular data related to network topologies, routing rule performance, or computational results from the paper's experiments. Its primary purpose is to enable verification and extension of the research on perfectly resilient network routing.
Paul Ritsche's dataset provides raw measurements of quadriceps muscle architecture, morphology, and strength from male and female national-level soccer players. Columns likely contain anatomical and performance metrics for a cross-sectional analysis of group differences and correlations. The accompanying analysis script allows for direct replication of the study's statistical calculations.
MATLAB code for a global marine copper model under the AWESOME OCIM framework. The model was prepared for manuscript submission by Hengdi Liang at the University of Southern California. The dataset's size and specific temporal coverage are not detailed.
CTD profile data was collected by Carbon Flux Explorers deployed between 100 and 500 meters depth in the California Current Regime. The data was gathered during the CCE-LTER process study (P1706) between June 2 and July 1, 2017. The dataset was authored by James K. B. Bishop of the University of California, Berkeley.
Data supporting research on the extreme escalation of heat failure rates in ectothermic animals due to global warming. The dataset was authored by Lisa Bjerregaard Jørgensen of Aarhus University and is available via the paperswithcode platform under an Open Access license. The specific data volume, format, and temporal coverage are not detailed in the provided metadata.
Glucose uptake was measured in aliquots of 2.5 x 10^7 germinating conidia across three A. nidulans strains (MH2, MK422, MK85) after transfer to media containing 0.025, 0.125, 0.5, or 2 mM glucose. The data originates from research by Margaret E. Katz, referencing methods from McCabe et al. (2003). The dataset is shared under an Open Access (green) license via the paperswithcode platform.
Australia's Torres Strait Co-operative Research Centre Program produced the research results compiled in this special issue. The collection likely contains scientific papers on marine resources and environmental management. The Australian Ocean Data Network hosts this introductory article, last updated on 2026-06-16.
A subset of 9,991 video clips for few-shot learning, derived from the Kinetics-400 dataset. It contains 100 action classes and is split into 6,393 training, 1,198 validation, and 2,400 test clips. The dataset was created by StanislavLev and was last updated on July 11, 2026.
Data supporting the paper 'Satellite-observed strong subtropical ocean warming as an early signature of global warming'. The dataset was created by Hu Yang from the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung. It likely contains satellite-derived measurements of ocean temperature changes.
345 brightfield and oblique illumination microscopy images capture four diatom species at different life cycle stages. Carlos Sanchez Bueno created this dataset, which includes 74 images of Gomphonema minutum, 117 of Luticola goeppertiana, 59 of Nitzschia amphibia, and 95 of Nitzschia capitellata. Images were captured using a 60x objective with a calibration of 7.91 pixels per micrometer.
A global gridded dataset describing cloud vertical structure, derived from combined observations by the CloudSat and CALIPSO satellites. The dataset was created by Leah Bertrand at the University of Colorado Boulder. This listing is for an old version of the product, and users are advised to seek the latest version.
Greenland's ice sheet features derived from NASA's Soil Moisture Active Passive (SMAP) satellite data between 2015 and 2019. The dataset maps the extents of perennial firn aquifers and ice slabs, which are critical for understanding meltwater storage and runoff. It was created by Julie Z. Miller at the University of Colorado Boulder.