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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
142,312 datasets
A method for intraoperative validation of high-density neural probe placement in rodents, leveraging local field potential (LFP) power spectral densities. The technique uses spontaneous activity recordings, applies dimensionality reduction and clustering to spectral features, and converges within approximately 20 seconds of data. It was authored by Alberto Perna and last updated on 2026-05-11.
Quebec municipalities of Rouyn-Noranda and Quebec City provide geospatial data on their electoral districts. The dataset likely contains polygon boundaries defining voting areas for municipal elections. It is available in multiple geospatial formats, including GeoJSON and ESRI Shapefile, facilitating mapping and spatial analysis.
Night-time sea surface temperature (SSTskin) maps derived from NOAA-XX satellite AVHRR observations. The product covers the Southern Ocean from 3°E to 158°W and 27°S to 78°S, with a 0.02° x 0.02° grid resolution. Matchups with buoy data indicate typical 2014 biases of less than 0.05°C and standard deviations of 0.5°C to 0.6°C for NOAA-18 and NOAA-19.
NOAA-19 satellite data provides a 1-day average sea surface temperature map for the Southern Ocean. The product is derived from daytime passes of the AVHRR instrument, gridded at a 0.02-degree resolution. Matchups with buoy observations indicate typical 2014 biases of less than 0.1°C and standard deviations of 0.5°C to 0.6°C for NOAA-18 and NOAA-19.
A dataset of 1,064 paired ultrasound image sets from ex vivo human tissue and a phantom, collected using a custom motorized gantry for spatial alignment. Created by Lennard van Karnenbeek and published in 2026, it contains 2,128 total PNG images preprocessed for consistency. The data is intended for research on ultrasound image quality enhancement using deep learning methods.
March 2014 and March 2015 data from the Arctic sea ice cover, providing a quick look product for seasonal forecasting. The dataset contains sea ice thickness, freeboard, snow depth, snow density, sea ice concentration, and roughness derived from ESA's CryoSat-2 satellite. It is an experimental product from NASA's Operation IceBridge campaigns.
HIWRAP airborne radar data provides calibrated reflectivity and unfolded Doppler velocity profiles from a dual-frequency (Ka- and Ku-band) conical scan system. Measurements were collected by a NASA ER-2 aircraft flying at 20 km altitude during the MC3E ground validation campaign for the GPM mission. The dataset consists of netCDF files and GIF images containing merged pulse and chirp radar reflectivity at 13.9 and 33.7 GHz.
Updated several times per day, this dataset tracks the real-time status of new Taxi and Limousine Commission driver license applications in New York City. Columns suggest it monitors specific compliance milestones like Drug Test results, Medical Clearance Form submission, and FRU Interview scheduling. It provides a live view into the administrative pipeline for For-Hire Vehicle (FHV), Street Hail Livery (SHL), and Wheelchair Accessible Vehicle (WAV) drivers.
Marek Beseda's study evaluates the effect of Apyral® 2E Al(OH)₃ filler on carbon/epoxy laminates for electric vehicle body structures. The dataset, last updated in May 2026, shows improved fire resistance but reduced mechanical integrity. It includes results from tests like Limiting Oxygen Index (LOI) and UL 94 horizontal burn.
2.2 KB of production C++ source code implementing a master emergency fallback layer for an autonomous controller pipeline. The module injects zero-value commands to safely stop a machine when fault conditions are detected. Authored by Jamie Davis and released under CC BY 4.0, it was last updated on 2026-05-30.
Itemized late political contributions of $1,000 or more filed electronically with California's Fair Political Practices Commission (FPPC) on Form 497. The data covers filings from 2011 to the present and is maintained by data.oaklandca.gov. Records include contributor details, recipient information, amounts, and election dates.
Jamie Davis provides the production C++ source code for Davis Logic V2: Module 61 - Static Array Bounds Guard Monitor. The module acts as a memory isolation barrier to prevent buffer overflows and pointer corruption at the microcontroller layer. It was released open-access under CC BY 4.0 guidelines.
2.0 KB of C++ source code implementing a parity-bit validator for telemetry packet integrity. The module uses high-speed bitwise XOR mask operations and a static memory model to verify packet structures without dynamic memory overhead. Authored by Jamie Davis and released under CC BY 4.0, it was last updated on 2026-05-30.
A 0.02° x 0.02° gridded map of sea surface temperature (SST) for the Southern Ocean region from 3°E to 158°W and 27°S to 78°S. The product, created by the Australian Ocean Data Network, provides one-month averages of SST derived from NOAA AVHRR satellite observations, with a reported 2014 bias of less than 0.03°C and standard deviation of 0.6°C. Production of this single-sensor product ceased in June 2025.
Rewina Tilahun Gessese provides annual under-five stunting prevalence data for Ethiopia from 2000 to 2024, sourced from the WHO Global Health Observatory. The dataset includes forecasts for 2025-2030 generated using time series models, with the Exponential Smoothing (ETS) model selected as the best performer. The data was last updated on April 22, 2026.
Stephanie M. Wu provides a dataset of region-specific estimated parasite prevalences. Mean estimates are displayed with 95% uncertainty intervals in parentheses, and the data includes a category for other helminths. The dataset was last updated on 2026-06-04 and is licensed under CC-BY-4.0.
Parasite prevalence estimates are provided as percentages for males and females across different age groups. The dataset includes mean estimates with 95% uncertainty intervals and covers helminths. It was authored by Stephanie M. Wu and last updated on June 4, 2026.
Thirty-seven participants completed 16 ecological momentary assessments per day for 10 days, reporting mood, context, behavior, cravings, and smoking lapses. The dataset contains results from random forest algorithms predicting lapses and cravings, evaluated via F1-score and ROC-AUC. The data was authored by Corinna Leppin and last updated on 2026-05-14.
A study from 2026 analyzed data from 37 participants who completed up to 16 ecological momentary assessments per day for 10 days during a smoking cessation attempt. The dataset contains results from random forest algorithms predicting smoking lapses and cravings, evaluated via F1-scores and ROC-AUC using mixed effects models. It was authored by Corinna Leppin and shared on figshare under a CC-BY-4.0 license.
Thirty-seven participants completed 16 ecological momentary assessments per day for the first 10 days of a smoking cessation attempt, reporting mood, context, behavior, cravings, and smoking lapses. The dataset, authored by Corinna Leppin and shared on figshare under CC-BY-4.0, contains participant-level characteristics used to evaluate random forest algorithms predicting lapse and craving risk. Performance metrics for these predictions, including F1-scores and ROC-AUC, are reported with substantial inter-individual variability.