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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
42,036 datasets
MATLAB codes and data files supporting a theoretical study of a cavity QED analogue to the Stern-Gerlach experiment. The dataset, created by Themistoklis Mavrogordatos, includes quantum trajectory simulations under homodyne and heterodyne detection, with data organized by figure from the associated manuscript. Files contain matrix data for steady-state and conditioned Wigner functions of a cavity field.
The dataset presents environmental complaints type 1 and 2 received and managed by the Regional Autonomous Corporation of the Basins of the Negro and Nare Rivers (Cornare) during the 2020 fiscal year. It includes columns for REGIONAL, MUNICIPIO, MEDIO DE RECEPCION, TIPO DE AFECTACION, Periodo, and RECURSO AFECTADO. The data is provided by www.datos.gov.co and was last updated on 2026-05-18.
High-resolution computed tomography scans of two fossil turtle skulls attributed to the Eocene genus Echmatemys. The dataset includes TNT, ZIP, and NEX files totaling 1.1 MB, authored by Gabriel S. Bever and last updated on 2026-05-12. It provides anatomical details of specimens USNM 17999 and YPM PU-11525 to clarify early testudinoid history.
A 5.5 KB Excel file summarizing parameter sweeps from a multiscale agent-based model investigating tumour growth and radiotherapy response. The model, developed by Nicholas Fan, incorporates mechanical interactions between tumour cells and vasculature, leading to vessel compression and altered oxygen landscapes. The dataset was last updated on 2026-05-15.
Nicholas Fan developed a multiscale agent-based model to investigate mechanical interactions between proliferating tumor cells and surrounding vasculature. The model simulates vessel deformation, occlusion, and angiogenesis, impacting oxygen supply, tumor growth dynamics, and response to radiotherapy. The dataset, last updated in May 2026, contains simulation outputs from this model.
Ziluo Fang's dataset compares Support Vector Regression (SVR) and Random Forest-SVR (RF-SVR) algorithms for predicting the rebound angle of metal tubes. The dataset is 5.5 KB in size, stored in XLS format, and was last updated on May 15, 2026. It is associated with research proposing an RF-SVR method to handle non-uniform and small-sample data.
A 5.5 KB Excel dataset compares the performance of Random Forest-Support Vector Regression (RF-SVR) against traditional RF-BP and SVR methods for predicting the rebound angle of metal tubes. The data was authored by Ziluo Fang and last updated on May 15, 2026. It focuses on addressing challenges with non-uniform and small-sample datasets.
5.5 KB of data generated for predicting the rebound angle of non-uniform metal tubes. The dataset was created by Ziluo Fang using polynomial feature generation and random forest feature selection to support a regression model. It was last updated on 2026-05-15.
A simulation dataset comparing storage overhead for authentication schemes in electric vehicle charging infrastructure. The dataset was created by Chongchao Zhang and last updated on May 15, 2026. It is a small dataset of 5.5 KB, stored in an XLS file format.
A dataset comparing computational overhead for authentication schemes in electric vehicle charging environments. The data was uploaded by Chongchao Zhang to figshare and last updated on May 15, 2026. It is a small dataset of 5.5 KB, stored in an XLS file.
A 5.5 KB dataset comparing communication overhead for authentication schemes in electric vehicle charging scenarios. It was created by Chongchao Zhang and last updated on May 15, 2026. The data likely contains metrics evaluating the proposed PufCB-Auth scheme against other methods.
Jiguanzui copper-gold mining area in China provides the geochemical data for this study. The dataset contains thresholds for single element and element combination anomalies, likely in an Excel file, designed to validate a new FACA model for deep mineral prediction. Author Feilong Qin published the 5.5 KB file under a CC-BY-4.0 license, last updated in May 2026.
Jiguanzui copper-gold mining area in China is the focus of this dataset, which contains thresholds for single element and element combination anomalies used for mineral prediction. The data was published by Feilong Qin on figshare under a CC-BY-4.0 license and was last updated in May 2026. It is a small dataset of 5.5 KB stored in an XLS file format.
Feilong Qin's 5.5 KB XLS file contains a rotated load matrix from a factor analysis of geochemical elements. The data underpins a novel FACA model designed for deep mineral prediction, applied to the Jiguanzui copper-gold mining area in China. The dataset was last updated on May 8, 2026, and is shared under a CC-BY-4.0 license.
A 5.5 KB Excel file published on figshare in May 2026 by Feilong Qin. It contains a load matrix derived from factor analysis applied to geochemical data from the Jiguanzui copper-gold mining area in China. The data was used to design and test a FACA model for deep mineral prediction.
Feilong Qin's 5.5 KB Excel file contains correlation coefficient matrices for geochemical elements, used to design a mineral prediction model. The data underpins a Factor Analysis and Concentration-Area (FACA) model applied to the Jiguanzui copper-gold mining area in China. The dataset was last updated on May 8, 2026, and is shared under a CC-BY-4.0 license.
A 5.5 KB Excel file containing standardized data for geochemical elements, used to design a mineral prediction model. The dataset was created by Feilong Qin and last updated in May 2026. It was applied to predict a new blind ore body at a depth between 1120m and 1150m in a Chinese mining area.
Feilong Qin's dataset contains geochemical element contents used to design and test a FACA model for deep mineral prediction. The data was applied to the Jiguanzui copper-gold mining area in China, with results predicting a new ore body at a depth of approximately 1120m to 1150m. The dataset is 5.5 KB in size, stored in XLS format, and was last updated on 2026-05-08.
Tyrosine kinase inhibitors (TKI) were tested for their ability to inhibit nucleoside and nucleobase transporters ENT1, ENT2, and ENBT1 in genetically modified HEK293 and K562 cell lines. The dataset, authored by Nayyar Shahid and shared under a CC-BY-4.0 license, contains the experimental results supporting five figures in the associated research. All tested TKI inhibited ENT1 and ENT2 with Ki values ranging from 1 to 30 µM.
A dataset compiling metadata from 13 qualitative studies exploring the lived experience of cognitive-communication disorder (CCD) after acquired brain injury. The synthesis includes data from 103 people with ABI and 66 familiar communication partners. The dataset was created by Nicholas Behn and last updated on 2026-05-15.