3,141 to 3,150 of 19,954 Results
Código fuente Python - 4,6 KB -
MD5: eccab43a925e3f5e6af3bd3aef344446
Script de Python para descarga de artículos con DOI e información de la vía de acceso abierto. |
Código fuente Python - 4,4 KB -
MD5: 32065a347bdd4156c6ad1fb2e3f19cc9
Script de Python para descarga de artículos con DOI por institución y año. |
Texto plano - 11,3 KB -
MD5: fb511f89785253ad363a0511da07ace1
Documento explicativo |
Valores separados por comas - 32,2 KB -
MD5: e34828a7e281d0caabd8f9ac404b0cce
Registros de vías de acceso abierto y porcentajes por universidades REBIUN y CSIC. |
Valores separados por comas - 103,2 MB -
MD5: 3909af0745198954e6ac345d71df7406
Registros de publicaciones (DOI) de las universidades REBIUN y CSIC sin duplicados. |
Tabular Data - 6,8 KB
Listado de instituciones con sus correspondientes OpenAlex ID y ROR. |
Feb 5, 2026 - Universidad de Alcalá
Fabregues Pons, Silvia; Pérez-Aracil, Jorge; José Luis Ferrando; Pedro Solis; Cid, Consuelo; Salcedo-Sanz, Sancho, 2026, "Bullet impact images dataset on different materials for forensic ballistics applications", https://doi.org/10.21950/PVWAHT, e-cienciaDatos, V1
Description of the project. This project aims to advance the field of forensic ballistics by creating a large, controlled dataset of bullet impact images to train deep learning models for automatic trajectory reconstruction. The dataset was generated in collaboration with the Criminalistics Service of the Spanish Civil Guard to ensure real-world re... |
Feb 5, 2026 -
Bullet impact images dataset on different materials for forensic ballistics applications
Archivo ZIP - 24,4 GB -
MD5: 1cde79bfb098858b31c8d4c1bc4584f4
The dataset contains 1,800 PNG images (3024×4032 pixels) organized into 6 folders, one per drift angle (15°, 30°, 45°, 60°, 75°, 90°). Each folder contains 150 images of impacts on drywall and 150 on particleboard.
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Feb 5, 2026 -
Bullet impact images dataset on different materials for forensic ballistics applications
Texto plano - 6,4 KB -
MD5: d07af953e411159e9d53c17242e28c61
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Feb 4, 2026 - Universidad Rey Juan Carlos
Matosas-López, Luis, 2026, "Dataset on social media usage patterns and perceived usefulness of digital resources in Spain and Colombia", https://doi.org/10.21950/4QWSAT, e-cienciaDatos, V1
This dataset is linked to a comparative research project (between Spain and Colombia) that analyzes how social media usage patterns among university students can reveal which educational resources they consider most useful. The dataset includes information from university students in Spain and Colombia. Variables: Age, Gender, University, F1_Twitte... |
