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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
14,652 datasets
A dataset concerning bone mineral density (BMD) and associated risk factors in Indian women, focusing on premenopausal osteoporosis. The data was authored by Dr. Jasmine Kaur Chawla and last updated on May 5, 2026. It is available in PDF and XLSX formats with a total size of 814.0 KB.
78-marker antibody panel data from 19 healthy human lymph nodes, classified by the MILAN staining method and BRAQUE pipeline. The dataset spatially maps 77 cell types, including 27 unique T-cell subsets, and reveals novel cellular neighborhoods. Author Maddalena M. Bolognesi published this proteomic interrogation on figshare in April 2026.
19 human lymph nodes free of pathology were classified in situ using a 78-marker antibody panel and the MILAN cyclic staining method. A total of 77 cell types were identified, encompassing T, B, innate immune, and stromal cells. The dataset was created by Maddalena M. Bolognesi and last updated on 2026-04-21.
Maddalena M. Bolognesi's dataset provides a high-dimensional proteomic map of 19 normal human lymph nodes, classifying 77 cell types using a 78-marker antibody panel and the MILAN staining method. The data includes spatial allocation for T, B, innate immune, and stromal cells, revealing novel interactions and landscape niches. It was last updated on April 21, 2026.
A 2026 dataset by Maddalena M. Bolognesi provides a high-dimensional proteomic map of normal human lymph nodes. It classifies 77 cell types from 19 pathology-free lymph nodes using a 78-marker antibody panel and the MILAN staining method. The data includes spatial allocation and neighborhood analysis for T, B, innate immune, and stromal cells.
A 78-marker antibody panel used to classify 77 cell types in 19 normal human lymph nodes via the MILAN hyperplexed staining method and BRAQUE bioinformatic pipeline. The dataset, created by Maddalena M. Bolognesi and last updated in April 2026, provides a high-dimensional proteomic map with spatial allocation of T, B, innate immune, and stromal cells. It is a small, 75.7 KB Excel file.
A 78-marker antibody panel used to classify 77 cell types in 19 normal human lymph nodes. The dataset, created by Maddalena M. Bolognesi and last updated in April 2026, supports spatial proteomic analysis via the MILAN staining method and BRAQUE bioinformatic pipeline.
A high-dimensional proteomic dataset maps the spatial organization of cells within healthy human lymph nodes. It was created by Maddalena M. Bolognesi using the MILAN cyclic staining method and BRAQUE bioinformatic pipeline, and was last updated in April 2026. The data comprehensively classifies 77 cell types, including T, B, innate immune, and stromal cells, based on a 78-marker antibody panel.
Descriptive statistics likely supporting a study on the heterogeneous impact of digital transformation directions on enterprise total factor productivity. The dataset is a 5.5 KB Excel file authored by Peng Song and last updated on 2026-04-28. It is associated with research that categorized digital transformation into five directions using LDA topic modeling on annual reports of A-share listed companies.
A study of A-share listed Chinese companies analyzes the differentiated impact of five digital technology directions on enterprise Total Factor Productivity. The dataset, created by Peng Song and last updated in April 2026, likely contains empirical results from semantic analysis of corporate annual reports. It is a 5.5 KB Excel file shared under a CC-BY-4.0 license.
5.5 KB of regression data supporting a study on the heterogeneous economic impacts of digital transformation. The dataset, authored by Peng Song and last updated in April 2026, likely contains empirical results testing the effects of five digital technology directions on Total Factor Productivity (TFP) of A-share listed companies. The analysis uses LDA topic modeling on corporate annual reports to categorize transformation into Artificial Intelligence, Big Data, Cloud Computing, Blockchain, and Digital Technology Application.
Variable definitions supporting a study on the heterogeneous economic impacts of digital transformation. The dataset, created by Peng Song and last updated in April 2026, categorizes digital transformation into five directions using semantic analysis of corporate reports. It is a 5.5 KB XLS file.
A 5.5 KB Excel dataset by Peng Song, last updated April 2026, containing empirical results on digital transformation's impact on enterprise total factor productivity. The data likely contains results from a study categorizing digital transformation into five technology directions—Artificial Intelligence, Big Data, Cloud Computing, Blockchain, and Digital Technology Application—using LDA topic modeling on A-share listed company reports.
A dataset supporting an empirical study on the differentiated impacts of five digital technology directions on enterprise Total Factor Productivity. The data was created by Peng Song and last updated on April 28, 2026. The 5.5 KB XLS file likely contains results from semantic analysis of A-share listed company annual reports.
Peng Song's dataset on figshare contains empirical data for a Heckman two-stage regression analysis of digital transformation's impact on enterprise total factor productivity. The data, last updated on 2026-04-28, is stored in a 5.5 KB XLS file. It supports research on the heterogeneous effects of AI, Big Data, Cloud Computing, Blockchain, and Digital Technology Application on firm productivity.
Avinash Bansal's 2026 study provides a controlled comparison of four pose-based deep learning models for vertebrae detection. The 5.5 KB Excel file likely contains performance metrics such as keypoint localization accuracy, detection precision, and inference speed. Results indicate YOLOv11n-Pose offers the best balance of accuracy and efficiency for this medical imaging task.
LUNDON score component variables are part of a validated tool predicting donor lung utilization and post-transplant outcomes. The dataset, a 9.5 KB Excel file, was authored by Nikki E. Rossetti and last updated on April 21, 2026. It supports a multi-aim study involving 242 survey and 60 interview participants across U.S. Organ Procurement Organizations and transplant centers.
figshare admin karger published supplementary material on 2026-04 13. The dataset contains imaging review data from 219 patients across three therapy cohorts, analyzing associations between metastatic patterns and treatment outcomes. It includes categorized data on lesion number, maximum diameter, and tumor burden fraction.
Data supporting a study on the role of cyclase-associated protein 1 (CAP1) in abscisic acid-induced stomatal closure in Arabidopsis under drought stress. The dataset includes experimental results on protein interactions and phosphorylation events, authored by Xiaoyi Li and last updated on 2026-04-28. The file is 8.9 KB in size and is available under a CC-BY-4.0 license.
Experimental data from a study on Arabidopsis thaliana, investigating the role of cyclase-associated protein 1 (CAP1) in abscisic acid (ABA)-induced stomatal closure under drought stress. The dataset, authored by Xiaoyi Li and last updated in April 2026, includes results on protein interactions and phosphorylation events. It is a small dataset of 9.0 KB, shared under a CC-BY-4.0 license on figshare.