Encuesta satisfacción e-cienciaDatos
e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es aceptado por las principales editoriales científicas
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661 a 670 de 1.060 Resultados
19 may 2023 - Federico-Tena World Population Historical Database
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Cyprus (Aegean Islands)", https://doi.org/10.21950/SVX5QI, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Cyprus (Aegean Islands) |
18 may 2023 - Federico-Tena World Population Historical Database
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Austria", https://doi.org/10.21950/EMNY71, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Austria |
18 may 2023 - Federico-Tena World Population Historical Database
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 |
18 may 2023 - Federico-Tena World Population Historical Database
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 |
18 may 2023 - Federico-Tena World Population Historical Database
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 |
18 may 2023 - Federico-Tena World Population Historical Database
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 |
18 may 2023 - Federico-Tena World Population Historical Database
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 |
17 may 2023 - Federico-Tena World Population Historical Database
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 |
16 may 2023 - Federico-Tena World Population Historical Database
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 |
13 may 2023
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` fi...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
