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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
177,242 datasets
Integrated results for individual participants from a mixed-methods study. The dataset is 30.3 KB in size and was authored by Laura Bervian. It was last updated on 2026-05-26.
Laura Bervian's 11.9 KB Excel matrix illustrates thematic patterns across participants. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-05-26. Its small size suggests a focused, qualitative research project.
K. Sasikumar's dataset compares the performance of various models, with results calculated for a dataset size of 2 million records. The data is stored in an XLS file and was last updated on May 26, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A participant flowchart detailing the recruitment, eligibility screening, and retention process for a study. The dataset was authored by Laura Bervian and is available under a CC-BY-4.0 license. It was last updated on May 26, 2026.
Laura Bervian's semi-structured interview guide was used at three time points. The dataset is a 887.8 KB XLSX file published on figshare under a CC-BY-4.0 license. It was last updated on May 26, 2026.
Laura Bervian published a dataset detailing the criteria and rationale for a sustainable diet composite score on figshare in May 2026. The dataset is a 16.0 KB Excel file (XLSX) available under a CC-BY-4.0 license. It provides the detailed scoring framework used to calculate a composite measure of dietary sustainability.
A mapping of behavioral change techniques to final text messages used in an intervention. The dataset is a 37.1 KB XLSX file authored by Laura Bervian and last updated on May 26, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A 5.5 KB Excel file containing pharmacokinetic and simulation parameters for Antibody-Drug Conjugates (ADCs) in mice and humans. Authored by Melissa C. Calopiz and last updated on May 26, 2026, the dataset is shared under a CC-BY-4.0 license on figshare.
A dataset from figshare contains measurements of immunoreactivity detection and immunoreactive areas using anti-T. solium antigens in calcified granulomas. The data likely tracks changes across multiple post-treatment time points. Luz M. Toribio authored this 12.3 KB Excel file, last updated in May 2026.
Xinhan Wang published multivariate time series forecasting results on 7 datasets. The dataset is stored in an XLS file of 5.5 KB and was last updated on 2026-05-26. It is licensed under CC-BY-4.0.
Binary logistic regression results from all channels, filtered between 4-6 seconds. Petra BÃró authored this 5.5 KB dataset, which was last updated on May 26, 2026. The results are stored in an Excel (XLS) file.
A list of hyperparameters and their values for grid search hyperparameter model optimization. The dataset is a 5.5 KB XLS file authored by M. Rifqi Rafsanjani and last updated on 2026-05-26. It is shared under a CC-BY-4.0 license on the figshare platform.
Parameters and source data for mass spectrometry analyses, including a list of ions detected by LC-MS. The dataset was authored by Herbert Guimaraes de Sousa Silva and last updated on May 26, 2026. It is a small dataset of 18.3 KB.
13.5 KB Excel file titled 'CNA Calibrations of Determinants and Outcome Variables' published on figshare by Priya Dahiya. The dataset was last updated on 2026-05-26 17:40:07 and is available under a CC-BY-4.0 license.
Percentages of participants indicating specific responses to randomized terms. Jenna Blyler published the 5.5 KB XLS file on figshare under a CC-BY-4.0 license. The dataset was last updated on May 26, 2026.
29.5 KB of raw quantification data in an Excel spreadsheet. Sophie Mazzoli authored this dataset, which was last updated on May 26, 2026. The table likely contains the foundational measurements for a specific analysis.
Baojing Zhang published quantitative evaluation indexes for five ablation models with large phase gradient on figshare in May 2026. The dataset is stored in an XLS file with a size of 5.5 KB.
Baojing Zhang published quantitative evaluation indexes for five ablation models with a small-to-large phase gradient on figshare. The dataset is a 5.5 KB Excel file licensed under CC-BY-4.0. It was last updated on May 26, 2026.
Nine phase unwrapping (PU) methods are quantitatively evaluated on interferograms with large phase gradients. The dataset compares performance across three distinct signal-to-noise ratio (SNR) levels: 8, 4, and 1. Baojing Zhang authored this evaluation, which was last updated on May 26, 2026.
Quantitative evaluation indexes for nine phase unwrapping (PU) methods applied to interferograms with small phase gradients. The dataset compares performance under three different noise levels (SNR = 8, SNR = 4, and SNR = 1). It was authored by Baojing Zhang and published on figshare in May 2026.