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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
157,314 datasets
NASA's dataset provides canopy height, land cover change, and stand age estimates for mangrove forests in Tanzania's Rufiji River Delta. The data was derived from TanDEM-X and Landsat imagery using Pol-InSAR techniques and canopy height modeling. It covers a time range from 1990 to 2014.
Socrata platform data tracks citizen participation activities conducted by Colombia's Ministry of Justice and Law from 2020 through 2025. The dataset includes 30 columns for characterizing activities, measuring dialogue perception, tracking financial resources, and monitoring commitment progress. It was last updated on May 18, 2026, via the www.datos.gov.co portal.
Benchmark data compares file sizes and access speeds for compressed genomic sequence formats. The dataset includes size ratios relative to FASTQ.GZ and speedup ratios comparing FASTQ.GZ to BINSEQ access times. It was authored by Noam Teyssier and last updated on May 28, 2026.
A 5.0 MB Excel workbook containing the underlying numerical data used to generate figures for a research project. The data is organized across multiple sheets corresponding to figure numbers, with a README sheet explaining connections and key functions. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-05-07.
An Excel workbook containing the underlying numerical data used to generate figures for a research project. The 5.0 MB file includes multiple sheets corresponding to figure numbers and a README sheet explaining connections and key functions. The data is provided by Sean P. Heighton under a CC-BY-4.0 license and was last updated on May 7,我们发现了一个错误。
Supplementary data from a biopolymer extraction study, published on figshare by Adebowale E. Aderogba. The dataset includes FTIR spectra values, chitin and chitosan yield percentages, and degree of deacetylation analyses for both cockroach and prawn sources. It was last updated on 2026-05-28.
OSI values quantify the directional oscillation of wall shear stress over a cardiac cycle, ranging from 0 to 0.5. The 5.5 KB dataset was created by Lei Zhengyao and last updated on May 28, 2026. Values were obtained from transient simulations using the final cardiac cycle to ensure periodic stability.
Feces samples were collected from stroke-prone spontaneously hypertensive (SHRSP) rats at 16 weeks of age following a 12-week feeding period. The dataset contains measurements of fatty acid compositions and levels, and sterol levels, comparing control, cholesterol-fed, and cholesterol-plus-lovastatin groups. It was authored by Yutaro Nishikata and last updated on 2026-05-21.
Mengze Gu published results from an ablation study on figshare in April 2026. The dataset contains performance comparisons for an Edge Graph Attention Network (EGAT) model against traditional methods like GRU, MLP, and LSTM for power load forecasting. The file is a 5.5 KB Excel spreadsheet.
Ablation study results comparing an Edge Graph Attention Network (EGAT) model against traditional methods for power load forecasting. The dataset, shared by Mengze Gu on figshare, contains results from experiments converting time series data into graph features. The file is 5.5 KB in size and was last updated in April 2026.
Ablation study results comparing an Edge Graph Attention Network (EGAT) model against GRU, MLP, and LSTM methods for power load forecasting. The 5.5 KB XLS file, authored by Mengze Gu and last updated in April 2026, contains results from a study that transforms time series into graph features. The study demonstrates EGAT's effectiveness in finding important features and understanding complex time patterns for energy demand prediction.
Simulation results from a study proposing a graph-based method for high-accuracy power load forecasting. The 5.5 KB Excel file, authored by Mengze Gu and last updated in April 2026, compares the performance of an Edge Graph Attention Network (EGAT) against traditional models like GRU, MLP, and LSTM.
Case 2 simulation results by Mengze Gu, last updated April 23, 2026. The dataset contains results from a study proposing an Edge Graph Attention Network (EGAT) for power load forecasting, comparing it against GRU, MLP, and LSTM models. The data is stored in a 5.5 KB XLS file.
5.5 KB of simulation results from Mengze Gu's 2026 research comparing a novel Edge Graph Attention Network (EGAT) model against traditional methods for power load forecasting. The dataset likely contains the performance metrics from experiments that transformed time series data into graph features to capture complex multi-dimensional relationships. These results demonstrate the EGAT model's potential for improving forecasting accuracy by understanding complex time patterns.
Payroll expenditures for Colorado Department of Transportation for the current and previous state fiscal year. The dataset is provided by data.colorado.gov and was last updated on 2026-05-29. It includes columns for Employee, Amount, Job Description, Area Description, and Fiscal Year.
A directory of educational institutions in the municipality of Yopal, Colombia, for the year 2026. The dataset is provided by the digital government of Yopal-Casanare via the datos.gov.co platform. It was last updated on May 18, 2026.
Processed image subsets from the LoDoPaB-CT dataset, used by the GLIMPSE research paper. The dataset contains training and test slices stored as .npy float32 arrays, along with out-of-distribution brain images in .jpg format. It was uploaded by AmirEhsan1995 to Hugging Face and was last updated on June 7, 2026.
Nine Amazonian tree species were analyzed for leaf carbon, nitrogen, leaf area index, and carbon isotope ratios in 2001. The dataset, produced by NASA, contains measurements from the youngest and oldest leaves of sampled branches at the Manaus ZF2 Jacaranda transect in Brazil. It is available as a comma-delimited file.
A dataset from 221 patients with cervical cancer who underwent pelvic lymphadenectomy at the Affiliated Hospital of North Sichuan Medical College between January 2023 and September 2024. It contains clinical characteristics and laboratory data used to develop and validate machine learning models for predicting symptomatic pelvic lymphocele, which occurred in 44 patients (19.9%). The dataset was published by Yiyue Wang on figshare.
221 patient records from a retrospective analysis at the Affiliated Hospital of North Sichuan Medical College, collected between January 2023 and September 2024. The dataset was used to develop and validate interpretable machine learning models for predicting symptomatic pelvic lymphocele, with an incidence rate of 19.9% in the cohort. Author Yiyue Wang published the supporting data on figshare under a CC-BY-4.0 license.