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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
168,672 datasets
A PDF document authored by Ying Yang, last updated on April 27, 2026, proposes a novel framework integrating Explainable AI (XAI) into time series prediction for economic mental health analysis. The 1.1 MB file describes a method combining intrinsic and post-hoc interpretability techniques to improve model transparency while maintaining competitive accuracy. The framework is intended to support decision-making for policymakers and mental health professionals.
Data Sheet 1_RETRACTED by Ying Yang, uploaded to figshare in 2026, is a 116.9 KB PDF document. It describes a proposed framework integrating Explainable AI (XAI) techniques directly into time series prediction for economic mental health analysis. The document argues for the necessity of interpretability in high-stakes mental health forecasting and presents experimental results for the proposed method.
A geological inspection report from Geoscience Australia details the search for a domestic water bore site around the Bathurst Island Mission. The report describes the local geology, including a Cretaceous mudstone layer over 1,000 feet thick and a laterite aquifer approximately ten feet thick, and assesses groundwater potential and pollution risks. Recommendations include deepening existing wells and drilling radial holes to intersect water-bearing cavities.
Colombia's publication schema for proactive information disclosure by obligated entities, as mandated by Law 1712 of 2014. The dataset includes metadata such as information title, responsible parties, format, and update frequency. It is hosted on the datos.gov.co platform and was last updated on 2026-05-18.
Legacy product from the Australian Ocean Data Network with no abstract available. The dataset likely contains information on Antarctic marine geology and accessibility. It was last updated on 2026-06-16.
Soraya Hussaini published viscosity data for biodiesel green fuel blends on figshare. The dataset is available as a 43.3 KB DOCX file under a CC-BY-4.0 license. It was last updated on June 4, 2026.
An inventory of public information classified as confidential or reserved, compiled to comply with Colombia's Transparency Law 1712 of 2014. The dataset is published by datos.gov.co and was last updated on 2026-05-18. It lists records with details on the responsible entity, classification level, legal justification, and storage format.
The Fitzroy catchment is the largest Queensland catchment discharging to the Great Barrier Reef lagoon. This dataset, from Geoscience Australia Data, likely contains information on the chemical and physical transformations of sediments, nutrients, and pollutants as they move through the Fitzroy Estuary and Keppel Bay. The data was last updated on 2026-05-14.
Cuadrantes de policía Palmira 2021 maps police service areas for neighborhoods in the Colombian municipality of Palmira. The dataset, sourced from the Colombian open data portal www.datos.gov.co, was last updated on 2026-05-18. It contains columns for CUADRANTE, COMUNA, CAI, and BARRIO, linking neighborhoods to their associated police districts and precincts.
A large hematite lens approximately 65 feet wide and 120 feet long was exposed in the BW Iron Claim. The dataset describes geological features near Batchelor, including granite, sedimentary rocks, and quartzite breccia, based on field observations from Geoscience Australia Data. No ore reserves are proven, but the large lens may contain as much as 15,000 tons of hematite.
Australian Ocean Data Network provides a legacy geohistory study of the Arafura Sea region. The dataset is published on data_gov_au and was last updated on 2026-06-16. Its specific content and structure are not described in the available metadata.
Over 2500 million years of geological history are recorded in the granulite facies gneisses of the Stillwell Hills region. This dataset from Geoscience Australia describes the complex assemblage of Archaean to Meso-Neoproterozoic orthogneisses, paragneisses, and intrusive rocks. It was last updated on 2026-05-14.
Australian Ocean Data Network provides legacy data on hydrocarbon diagenesis and source rock potential from four offshore wells: Ashmore Reef No 1, Iviri No 1, Nautilus No 1A, and Orokolo No 1. The dataset is published on data_gov_au and was last updated on 2026-06-16. No abstract or detailed metadata is available for this legacy product.
Derived thresholds for high and low temperatures related to ozone (O3) and FNR peaks. The dataset is 26.1 MB in size and was last updated on June 4, 2026 by author Run Shi. It is shared under a CC-BY-4.0 license on figshare.
Legacy product from the Deep Sea Drilling Project focusing on phosphate concentrations in marine sediments. The data originates from sites 259-263 in the eastern Indian Ocean and is hosted by the Australian Ocean Data Network. Metadata is minimal, with no abstract or column details available.
Airphotograph study of coastal changes - southeast Queensland is a legacy dataset from the Australian Ocean Data Network. The product is published on data_gov_au and was last updated on 2026-06-16. No abstract or detailed metadata is available for this legacy record.
Northwest Australia's Canning region is covered by this geophysical dataset containing levelled grids for gravity, magnetic, and bathymetric measurements. The data is a legacy product from the Australian Ocean Data Network, intended for marine and petroleum exploration studies. Metadata is minimal; actual content requires verification after download.
An agricultural dataset containing meteorological and vegetation variables for population observations of Cimbex quadrimaculata in Turkey. The data was used to compare the performance of binary classification, multiclass classification, and regression models, with results published by Yunus Güral in 2026. The dataset is 5.5 KB in size and stored in an XLS file.
An agricultural dataset containing meteorological and vegetation variables was used as a representative case study for comparing AI-based machine learning methods. The data is based on population observations of Cimbex quadrimaculata in Diyarbakır and Elazığ provinces in Türkiye between 2020 and 2022. Three different modeling approaches (binary classification, multiclass classification, and regression) were applied to the same data to enable systematic comparison of model performance, generalizability, and explainability.
An agricultural dataset containing meteorological and vegetation variables used as a case study for comparing AI-based machine learning methods. The data is based on population observations of Cimbex quadrimaculata in Diyarbakır and Elazığ provinces in Türkiye between 2020 and 2022. The dataset was uploaded by Yunus Güral and is available under a CC-BY-4.0 license.