Repositorio de Datos de la UAH
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21 to 30 of 3,857 Results
Hoja de cálculo MS Excel - 156,2 KB - MD5: 744afb068522134017e321546fb4cc23
Texto plano - 14,7 KB - MD5: de7955982f5193bce98666c7844b5124
Mar 25, 2026
Olivares Leyva, Mónica, 2026, "Graham Greene’s The Living Room: An Uncomfortable Catholic Play in Franco’s Spain", https://doi.org/10.21950/AT0JI8, e-cienciaDatos, V2
The database comprises the examination of the censors' reports on Graham Greene's play The Living Room (1953) submitted to the Spanish censorship board in the 1950s, 1960s and 1970s.
Mar 17, 2026
Larrubia, Juan-Ramón; Moreno-Cubero, Elia, 2017, "Signalling adaptor TRAF1 modulation, as a therapeutic target, to restore HCV-specific cytotoxic T cell response reactivity during chronic infection", https://doi.org/10.21950/P2RKZB, e-cienciaDatos, V3
Hepatitis C virus (HCV) worldwide infects around 170 million people. Two thirds of primo-infections develop a chronic disease that could lead to cirrhosis and hepatocellular carcinoma. This infection can be cured with direct acting anti-virals (DAA) but there are still difficult to treat cases relapsing after treatment, in which immunotherapy could...
Mar 16, 2026 - DatAvecinas
image/vnd.dxf - 16,7 MB - MD5: e55102dca8ff8b156f29b43dde158644
Archivo CAD con 28 especies de aves urbanas registradas, definidas como bloques DAD y en diferentes posiciones
Mar 16, 2026 - DatAvecinas
image/vnd.dxf - 18,6 MB - MD5: d66c6c6d081cf3a7f0b6d58e45a12cbf
Archivo CAD con 21 especies de arboles comunes registrados en entornos escolares, definidas como bloques DAD y en planta y alzado.
Mar 9, 2026
Pilar, Garcia Diaz; Sánchez-Berriel, Isabel; González Ávila, José Luis, 2026, "Spanish tweet datasets encoded for sentiment analysis based on context of words", https://doi.org/10.21950/XEV9IC, e-cienciaDatos, V1
Description of the project This dataset compiles and organizes the data used in the article “A novel flexible feature extraction algorithm for Spanish tweet sentiment analysis based on the context of words”, focusing on Spanish-language tweets annotated into four polarity categories: positive (P), neutral (NEU), negative (N), and no opinion (NONE).
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