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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,080 datasets
A computational model dataset for intracellular calcium dynamics in human ventricular myocytes, focusing on stochastic gating and release variability. The dataset, authored by Gustavo Montes Novaes and published on figshare in April 2026, presents a Scalable Aggregate Calcium Release Unit (SA-CaRU) model integrating a Markov Chain-based description of L-type Calcium Channels. It enables systematic exploration of calcium release variability as a function of microdomain size and coupling under healthy and phosphorylated conditions.
Adverse event reports for two prostate cancer drugs were analyzed using the FDA Adverse Event Reporting System (FAERS). The dataset includes 3,357 reports for Degarelix and 4,075 reports for Relugolix from Q1 2009 through Q2 2024. The supplementary material was authored by figshare admin karger and published under a CC-BY-4.0 license.
Isaac Newton Mindframe / Mindstate Training Dataset is a curated collection of 598 unique prompt-response pairs in JSONL format. The dataset, created by author '11-47', is intended for fine-tuning or prompt-engineering models to emulate Isaac Newton's thinking style. It was last updated on May 17, 2026.
PDB files detail the structure-guided optimization of CSF1R inhibitors, including compound C52, for treating acetaminophen-induced liver injury. The dataset, authored by Xue Yuan and last updated in April 2026, is 560.3 KB in size. It supports research into macrophage-mediated inflammation and preclinical drug development.
A dataset from figshare by Xue Yuan, last updated in April 2026, containing structural data for a series of colony-stimulating factor 1 receptor (CSF1R) inhibitors. The data, stored in PDB format, supports research into compounds like C52, which was shown to inhibit CSF1R, reduce serum transaminase levels, and suppress inflammatory signaling in an acute liver injury model. The dataset size is 520.9 KB.
A series of molecular structures for Colony-stimulating factor 1 receptor (CSF1R) inhibitors, including compound C52, designed for treating acetaminophen-induced acute liver injury. The dataset was authored by Xue Yuan and last updated on 2026-04-23. It contains PDB files with a total size of 353.6 KB.
A series of molecular structures for Colony-stimulating factor 1 receptor (CSF1R) inhibitors, including compound C52, designed for treating acetaminophen-induced acute liver injury. The dataset was published by Xue Yuan on figshare in April 2026. It contains Protein Data Bank (PDB) files with a total size of 558.8 KB.
Xue Yuan published molecular structure data for a series of colony-stimulating factor 1 receptor (CSF1R) inhibitors on figshare in 2026. The dataset, 559.9 KB in size, includes structures like compound C52, which was optimized for treating acetaminophen-induced acute liver injury. The data is provided in PDB format.
A figshare dataset by Xue Yuan, last updated April 2026, containing molecular structure data for a series of colony-stimulating factor 1 receptor (CSF1R) inhibitors. The data, stored in PDB format, relates to compounds like C52, which were designed for treating acetaminophen-induced acute liver injury. The dataset size is 365.9 KB.
gss1147 created a dataset of 598 unique prompt-response pairs for training AI models to emulate Isaac Newton's thinking style. The dataset, last updated on 2026-05-17, is focused on rigorous empirical observation and mathematical precision. It is formatted as JSONL and contains no duplicates or placeholder entries.
Yu Zhang's dataset on figshare, last updated April 2026, contains data related to the design and optimization of a novel series of pyridazinone-based MAT2A inhibitors. The description reports a lead compound with an IC50 of 17.5 nM and a cellular GI50 of 0.76 ΞM in HCT-116 MTAP KO cells, along with in vivo pharmacokinetic and efficacy data from an NCI-H838 xenograft model. The dataset is shared under a CC-BY-NC-4.0 license.
A dataset of benzofuran-2-carboxylic acid derivatives identified as PTPRO inhibitors for inflammatory bowel disease research. It includes data on lead compounds 10j and 30k, detailing IC50 values, oral bioavailability, and in vivo efficacy from a murine colitis model. The dataset was authored by Xiao Liang and uploaded to figshare in April 2026.
Adeola Tawakalitu Kola-Mustapha authored this research document on figshare, last updated in April 2026. It details the formulation and testing of clove and lemongrass essential oil hydrogels against Candida albicans. The study includes results from antifungal assays and computational analysis via 10,000 Monte Carlo simulations.
Supplementary statistical data from a study on plant stress physiology. The dataset, authored by Leonardo FariaSilva and last updated on 2026-05-27, likely contains results analyzing how moderate selenium doses affect eucalyptus seedling growth under salt stress. The data is stored in a 458.5 KB PDF file.
16 spectra per second to one spectrum every 16 seconds reporting rates characterize onboard computed electric field power spectral density (EPSD). The data is produced by the Magnetospheric Multiscale (MMS) mission's Digital Signal Processor (DSP) using a 1024-point FFT algorithm on signals from Axial and Spin-Plane Double Probes. It was created by the National Aeronautics and Space Administration and last updated on March 13, 2026.
The Magnetospheric Multiscale (MMS) mission's Digital Signal Processor computes electric field power spectral density (EPSD) from onboard probes. Data is derived from a 1024-point FFT algorithm, producing spectra with 56 pseudo-logarithmic frequency bins and a dynamic range over 120 dB. This Level 2 dataset from NASA is reported in slow mode, with rates from 16 spectra per second down to one spectrum every 16 seconds.
The Magnetospheric Multiscale (MMS) mission's Digital Signal Processor computes electric field power spectral density (EPSD) onboard. Data is derived from 1024-point FFTs on signals from Axial and Spin-Plane Double Probes, with spectra reported at rates from 16 per second to one every 16 seconds. This Level 2 product is provided by NASA, with a metadata last update date of 2026-03-13.
NASA's Magnetospheric Multiscale (MMS) mission provides electric field power spectral density data computed onboard by a Digital Signal Processor. The data is derived from analog signals of the Axial Double Probe (ADP) and Spin-Plane Double Probe (SDP) using a 1024-point FFT algorithm, producing spectra with 56 pseudo-logarithmic frequency bins. The dataset, last updated in March 2026, reports at rates from 16 spectra per second to one spectrum every 16 seconds.
144 Fast Fourier Transforms are performed per second by a field-programmable gate array onboard the MMS 3 spacecraft. This Level 2 dataset contains electric field power spectral density measurements from the Axial and Spin-Plane Double Probes, processed via a 1024-point FFT algorithm. The data is produced by NASA's Magnetospheric Multiscale mission and was last updated in March 2026.
Statistical values (mean Âą SD) for mechanical parameters derived from experiments with varying moisture content and loading rates. The dataset was authored by Chuanchuan Wan and last updated on 2026-05-15. It is a small dataset of 9.5 KB, stored in XLS format.