1,381 to 1,390 of 2,392 Results
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Albania", https://doi.org/10.21950/PWOALO, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Albania |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Iceland", https://doi.org/10.21950/EFNESZ, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Iceland |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Bulgaria", https://doi.org/10.21950/DFVWEY, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Bulgaria |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Austria-Hungary", https://doi.org/10.21950/2ZLPJS, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Austria-Hungary |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Hawaii", https://doi.org/10.21950/ZHOFGQ, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Hawaii |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Australia", https://doi.org/10.21950/ZR7IS5, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Australia |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : New Zealand", https://doi.org/10.21950/APTGHS, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: New Zealand |
May 13, 2023 - Universidad Carlos III de Madrid
Alberto Cuadra-Lara, 2023, "DOI Scraper", https://doi.org/10.5281/ZENODO.7932535
The DOI Scraper is a Python script that reads a `.bib` file, searches for articles without a DOI (Digital Object Identifier), and retrieves the missing DOIs using the [Crossref API](https://www.crossref.org/documentation/retrieve-metadata/rest-api/). It then updates the `.bib` file with the retrieved DOIs.Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
May 9, 2023 - Universidad Carlos III de Madrid
Lucía Cubero; Laura García-Elcano; Eugenia Mylona; Adrien Boue-Rafle; Cesare Cozzarini; Maria Giulia Ubeira Gabellini; Tiziana Rancati; Claudio Fiorino; Renaud de Crevoisier; Oscar Acosta; Javier Pascau, 2023, "DLUS : Deep learning-based segmentation of prostatic urethra on computed tomography scans for treatment planning", https://doi.org/10.5281/ZENODO.7826415
Pre-trained nnU-Net weights for DLUS: Deep Learning-based Segmentation of Prostatic Urethra on Computed Tomography Scans for Treatment Planning, high resolution model (Tasks 108, 112 and 113). For more details see - Github - https://github.com/BSEL-UC3M/DLUS Paper - https://doi.org/10.1016/j.phro.2023.100431Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
May 5, 2023 - Universidad de Alcalá
Orden, David; Fernández-Fernández, Encarnación; Tejedor-Romero, Marino, 2026, "Data for: Image-based evaluation of beers at an online Pint of Science festival using Projective Mapping, Check-All-That-Apply and Acceptability", https://doi.org/10.5281/ZENODO.7220197
Data obtained from n=67 untrained attendants at an outreach Pint of Science festival, online because of the COVID-19 pandemic but usually held at bars. The participants used images of brand logos to evaluate eight beers among the most commonly consumed in Spain. Three sensory analysis techniques were used: Projective Mapping, Acceptability and Chec...Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
