1 a 10 de 174 Resultados
22 may 2025 - Universidad de Alcalá
Sharma, Rahul; Cid Tortuero, Consuelo, 2020, "Anemone active regions catalogue from 2011-2014", https://doi.org/10.21950/VG1QSK, e-cienciaDatos, V2
This catalogue includes the anemone active regions from 2011-2014. Anemone regions are active regions in close proximity of coronal holes. |
22 may 2025 -
Anemone active regions catalogue from 2011-2014
Texto plano - 4,6 KB -
MD5: cf86300e232ad3ed0919e9b38753b4a2
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19 may 2025 - Historia del Derecho y de las Universidades
Liendo Tagle, Fernando, 2020, "Revistas jurídicas españolas. Base de datos para un repertorio (1834-1936)", https://doi.org/10.21950/8O4OJM, e-cienciaDatos, V2
Conjunto de datos que incluye informaciones bibliográficas relativas a las revistas jurídicas publicadas en España entre 1834 y 1936. El proyecto se encuentra abierto a la contribución de terceros que deseen agregar títulos, rectificar o precisar las informaciones registradas, de... |
Texto plano - 5,6 KB -
MD5: cb6c1b236978d40a927f8eca33407e8f
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12 ene 2022 - BURNED AREA REFERENCE DATABASE (BARD)
Franquesa Fuentetaja, Magi; Vanderhoof, M.K.; Stavrakoudis, D.; Gitas, I.; Roteta, E.; Padilla, M.; Chuvieco, Emilio, 2020, "BARD: a global and regional validation burned area database", https://doi.org/10.21950/BBQQU7, e-cienciaDatos, V7
The FireCCI project is part of the European Space Agency's (ESA) Climate Change Initiative (CCI) programme. The project focuses on the Fire Disturbance Essential Climate Variable(ECV) and specifically on 'Burned Area' (BA) products. The main objective of the FireCCI project is th... |
Texto plano - 7,6 KB -
MD5: 7580c7b799c78299e2035b3f32b26003
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Lastra-Díaz, Juan J.; Lara-Clares, Alicia; Garcia-Serrano, Ana M., 2020, "Reproducibility dataset for a benchmark of biomedical semantic measures libraries", https://doi.org/10.21950/OTDA4Z, e-cienciaDatos, V5
This dataset introduces a set of reproducibility resources with the aim of allowing the exact replication of the experiments introduced by our companion paper, which compare the performance of the three UMLS-based semantic similarity libraries reported in the literature as follow... |
Archivo Gzip - 574,8 KB -
MD5: 77aee55e76f1cf515b04740c746e524f
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Sintasis R - 63,4 KB -
MD5: 286b156419070aa804bc233a6bb8b3b0
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application/mac-compactpro - 4,0 GB -
MD5: 3c74a196b4775bc558986f597bfa9f73
In order to obtain a decrypt password for this, you should sign and obtain a license for the National Library of Medicine (NLM) of the United States to use the UMLS Metathesaurus databases, as well as SNOMED-CT and MeSH ontologies included in this Docker image. For this purpose,... |
