Repositorio de Datos de la UAM
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2,581 to 2,590 of 3,312 Results
Archivo Gzip - 102,2 MB - MD5: 894713f54578a5f2ec84ff6628ec08cd
DataDatos
Illumina raw sequencing data from Ppol_1 library.
Archivo Gzip - 266,2 MB - MD5: 4f51d0f92fbaed2ad106cb2b8033e4e7
DataDatos
Illumina raw sequencing data from HB27_1 library
Archivo Gzip - 84,2 MB - MD5: a4833ec362e025c89e1cd63cb1e3132a
DataDatos
Illumina raw sequencing data from HB27_2 library
Archivo Gzip - 109,9 MB - MD5: b1f36e5d94fa5ccc079deb3caba2131f
DataDatos
Illumina raw sequencing data from Ppol_2 library
Apr 4, 2025
Basili, Roberto; Danciu, Laurentiu; Beauval, Céline; Sesetyan, Karin; Vilanova, Susana Pires; Adamia, Shota; Arroucau, Pierre; Atanackov, Jure; Baize, Stéphane; Canora, Carolina; Caputo, Riccardo; Carafa, Michele Matteo Cosimo; Cushing, Edward Marc; Custódio, Susana; Demircioglu Tumsa, Mine Betül; Duarte, João C.; Ganas, Athanassios; García-Mayordomo, Julián; Gómez de la Peña, Laura; Gràcia, Eulàlia; Jamšek Rupnik, Petra; Jomard, Hervé; Kastelic, Vanja; Maesano, Francesco Emanuele; Martín-Banda, Raquel; Martínez-Loriente, Sara; Neres, Marta; Perea, Hector; Sket-Motnikar, Barbara; Tiberti, Mara Monica; Tsereteli, Nino; Tsironi, Varvara; Vallone, Roberto; Vanneste, Kris; Zupančič, Polona, 2022, "European Fault-Source Model 2020 (EFSM20): online data on fault geometry and activity parameters | EFSM20", https://doi.org/10.13127/EFSM20
The European Fault-Source Model 2020 (EFSM20) was initially compiled in the framework of the EU Project SERA, Work Package 25, JRA3. EFSM20 includes only faults deemed capable of generating earthquakes of magnitude equal to or larger than 5.5 and aims at ensuring a harmonized input for use in ground-shaking hazard assessment in the Euro-Mediterrane...
Dataset recolectado desde DataCite con autores de la UAM. El enlace le llevará directamente a los datos originales en dicho archivo.
Apr 2, 2025 - DIGITENDER: Extracción terminológica automática y corpora de dominios específicos para la visibilización de los problemas de salud relacionados con la mujer
Roseti, Sofía Micaela; Moreno-Sandoval, Antonio; Vargas-Sierra, Chelo; González Aranda, Carmen, 2025, "Annotation guidelines for endometriosis and menopause in the DIGITENDER project", https://doi.org/10.21950/VUPNH6, e-cienciaDatos, V1
The project, 'DIGITENDER: Extracción terminológica automática y corpora de dominios específicos para la visibilización de los problemas de salud relacionados con la mujer,' aims to develop an automatic term extractor focused on endometriosis and menopause to enhance the visibility of women's health issues that are often overlooked. To achieve this,...
Adobe PDF - 1,1 MB - MD5: 71140695997eeaa3f829a9a7ed7bd772
DataDatos
Annotation guidelines in PDF format. The document is in Spanish, but the same instructions apply for annotation in English
Texto plano - 8,8 KB - MD5: 33991055e9f52310b5926e3801015320
DocumentaciónDocumentation
Texto plano - 10,0 KB - MD5: 484a9ff04fc2a4b99410a9d743f0c4c3
DocumentaciónDocumentation
Apr 2, 2025 - DIGITENDER: Extracción terminológica automática y corpora de dominios específicos para la visibilización de los problemas de salud relacionados con la mujer
Roseti, Sofía Micaela; Moreno-Sandoval, Antonio; Vargas-Sierra, Chelo; González Aranda, Carmen, 2025, "Lexicon of endometriosis and menopause terms in Spanish and English for fine-tuning language models", https://doi.org/10.21950/SMVFJC, e-cienciaDatos, V1
The project, 'DIGITENDER: Extracción terminológica automática y corpora de dominios específicos para la visibilización de los problemas de salud relacionados con la mujer,' aims to develop an automatic term extractor focused on endometriosis and menopause to enhance the visibility of women's health issues that are often overlooked. To achieve this,...
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