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Repositorio de Datos del Consorcio Madroño
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4,041 to 4,050 of 19,954 Results
Valores separados por comas - 8,5 KB - MD5: 937e2d0d2ea772f28e12391115f7aae8
Conjunto datos bibliográficos literatura IA-Chatbots en el ámbito educativo
Texto plano - 3,3 KB - MD5: 3d0d0f86d315d9245ad048ff767f869d
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Jan 7, 2026 - Universidad Rey Juan Carlos
Matosas-López, Luis, 2026, "Dataset on the literature surrounding the use of BARS instruments in education", https://doi.org/10.21950/DGPV1C, e-cienciaDatos, V1
This dataset is linked to a research project that conducts a systematic literature review on the use of BARS-type instruments to measure efficiency in various work contexts, and subsequently, specifically, to assess teacher efficiency in educational settings. Variables: Publication Type, Authors, Article Title, Source Title, Publication Year, ISSN/...
Valores separados por comas - 119,1 KB - MD5: 37a2e48dbfd3e9c206b6b0420f0a094c
Conjunto datos bibliográficos literatura instrumentos BARS educación
Texto plano - 3,1 KB - MD5: 048a1490e333c72edffaa57ed9f574c7
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Jan 4, 2026 - Green hydrogen production from waste biomass pyrolysis fractions by auto-thermal reforming in a membrane reactor BIOWASTETOH2
Calles, Jose A; Santos Carballes, Alejandro Jesús; ALIQUE, David; Sanz, Raul; Vizcaíno, Arturo, 2025, "Towards a circular economy in electroless pore-plated Pd/PSS composite membranes: Pd recovery and porous support reuse", https://doi.org/10.21950/HK9GTB, e-cienciaDatos, V2
The project (BiowastetoH2) aims to contribute to the decarbonisation of the European energy system by producing green hydrogen from waste streams. This, the main objective of the project is the production of renewable hydrogen from residual streams from biomass pyrolysis by means of autothermal steam reforming integrated in a membrane reactor. Focu...
Dec 26, 2025 - Universidad Rey Juan Carlos
Matosas-López, Luis, 2025, "Dataset on the activity of Spanish food industry brands on Twitter", https://doi.org/10.21950/S1O369, e-cienciaDatos, V1
This dataset is linked to a research project analyzing the brand content dissemination behavior of a sample of 45 Spanish food industry brands on Twitter. Variables: Date (GMT), Handle, Brand Name, Text, URL, Posting Platform, Type, Retweet count, Favorite count.
Valores separados por comas - 9,7 MB - MD5: 4a49cf6e5f66fe525792bad3e2818324
Conjunto datos actividad marcas industria alimentaria española Twitter
Texto plano - 2,8 KB - MD5: 018bda88443562965ba731e9c135e458
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