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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
160,842 datasets
Caracterización de Personas en Casas de Justicia contains characteristics of citizens seeking conflict resolution at justice houses and citizen coexistence centers. The dataset originates from www.datos.gov.co and includes data with a cut-off date spanning from 2020 to the first part of 2026. It was last updated on May 18, 2026.
Sensor-collected bioaccumulation data for oysters from the lower Boyne Estuary, Zone 10a. The data was gathered as part of the Port Curtis Integrated Monitoring Program (PCIMP). Collection occurred between September 15, 2007, and June 15, 2017.
Sensor data collected from December 2006 to June 2014 as part of the Port Curtis Integrated Monitoring Program in Zone 04, Boat Creek. The Australian Ocean Data Network manages this environmental monitoring dataset. The data was last updated in the platform's records on 2026-06-16.
Emserchia E.S.P.'s annual acquisition plan (PAA) lists planned purchases of goods, works, and services. The plan is informational and items may be canceled, reviewed, or modified, representing no binding obligation for the entity. Data is provided by www.datos.gov.co and was last updated on 2026-05-18.
Individual monthly hillslope cover erosion rates, measured in tonnes per hectare per month, over New South Wales for the year 2025. The dataset is provided by the NSW Department of Climate Change, Energy, the Environment and Water and was last updated in May 2026. Data is available in PDF and GEOTIFF formats under a CC-BY-4.0 license.
A 2020-II period public procurement plan from Colombia, published on datos.gov.co. The dataset lists planned government acquisitions, including estimated values, selection modalities, and contract details. The information is declared as informative and subject to change, not a binding commitment from the state entity.
Individual monthly hillslope cover erosion data measured in tonnes per hectare per month for the state of New South Wales, Australia, for the year 2008. The dataset is provided by the NSW Department of Climate Change, Energy, the Environment and Water and was last updated in May 2026. Data is available in PDF and GEOTIFF formats.
An annual inventory of information assets from the University of Cundinamarca, published in compliance with Colombian Law 1712 of 2014 on transparency and access to public information. The dataset includes 20 columns describing assets by type, format, custodian, and security classifications. It is hosted on the Colombian open data portal, datos.gov.co, and was last updated on May 18, 2026.
Monthly hillslope cover erosion data measured in tonnes per hectare per month for the state of New South Wales, Australia, for the year 2001. The dataset is provided by the NSW Department of Climate Change, Energy, the Environment and Water. Data files are available in PDF and GEOTIFF formats.
Bioaccumulation data collected by sensors deployed in the Port Curtis Integrated Monitoring Program (PCIMP) Zone 08 - Mid Harbour. The dataset was collected by the Australian Ocean Data Network and covers a time range from September 15, 2007, to November 16, 2018. The data likely contains measurements of contaminants or other substances accumulated in oyster tissues.
Individual monthly hillslope cover erosion rates, measured in tonnes per hectare per month, over New South Wales for the year 2013. The data is provided by the NSW Department of Climate Change, Energy, the Environment and Water and is available in PDF and GEOTIFF formats.
Port Curtis in Queensland, Australia, is the location for this sediment data collected by sensors as part of the Port Curtis Integrated Monitoring Program (PCIMP) in Zone 03, the Western Basin. The data collection period spans from December 2006 to May 2025. The Australian Ocean Data Network is the organization hosting this dataset, which was last updated in June 2026.
Sensor-collected data on bioaccumulation in oysters from the Port Curtis Integrated Monitoring Program. The data covers Zone 03 in the Western Basin and spans from September 2007 to November 2018. It was collected by the Australian Ocean Data Network.
627 patient records from a training cohort and 219 from a validation cohort were used to develop a machine learning model for predicting postherpetic neuralgia risk. The study, authored by Xiao Chen and uploaded to figshare in 2026, identified five key risk factors and evaluated ten models. The optimal XGBoost model achieved an AUC of 0.826 in training and 0.840 in external validation.
Global Mean Sea Level trend data derived from integrated radar altimeter missions including TOPEX/Poseidon, Jason series, and Sentinel-6A, covering September 1992 to present. NASA produced this dataset by applying bias adjustments, cross-calibrations, and Glacial Isostatic Adjustment to ensure consistency across missions. The data are reported as sea surface height anomalies relative to a 20-year mean and are updated weekly with a latency of a few weeks.
Sensor-collected oyster bioaccumulation data from the lower Calliope Estuary in Australia. The Port Curtis Integrated Monitoring Program gathered this data from September 2007 to November 2018. Records are managed by the Australian Ocean Data Network.
Taxpayer records for businesses operating coin-operated amusement machines in Texas. Columns suggest details on business name, location, contact information, and taxpayer identification. The dataset is hosted by the City of Austin and appears on multiple government data platforms.
115 KB of data files including CSV, M, and PY formats for exercises from Chapter 12 of a Fluid Mechanics textbook. The dataset was authored by Zaiyang Zhou and last updated on June 1, 2026. It is based on material written by professors Pingxing Ding and Jianzhong Ge.
Individual monthly hillslope cover erosion rates, measured in tonnes per hectare per month, over New South Wales for the year 2015. The dataset is provided by the NSW Department of Climate Change, Energy, the Environment and Water and was last updated on 2026-05-17. Data is available in PDF and GEOTIFF formats under a CC-BY-4.0 license.
A monthly updated register lists all open datasets available on the Lincolnshire Open Data platform. The register provides key metadata for each dataset, including update schedules and licensing information under the OGL-UK-3.0 license. It is published by the Government Digital Service.