1.531 a 1.540 de 2.025 Resultados
29 ene 2022 - Universidad Nacional de Educación a Distancia (UNED)
Ibarra, Mercedes; Rovira, Antonio; Abbas, Ruben; González-Portillo, Luis Francisco; Barnetche, Magdalena; Barbero, Ruben; Marcos, Jose Daniel; Palacios, Esther, 2022, "Dateset of results: yearly operation for AMTP and MAND - steady state simulation (D3.3 D5.1)", https://doi.org/10.5281/ZENODO.5914137
Resuts of the steady state simulations carried out (in the frame of the ASTEP project) for the daily and yearly operation of the ASTEP concept. The dataset include data related to two reference cases and different options of design such as layout, locations, and demand variations...Dataset recolectado desde DataCite con autores de la UNED. El enlace le llevará directamente a los datos originales en dicho archivo. |
28 ene 2022 - Universidad de Alcalá
Peters, Jens F.; Wuebben, Daniel, 2025, "Communicating the Values and Benefits of Home Solar Prosumerism", https://doi.org/10.5281/ZENODO.4737761
This dataset contains the minute-by-minute time series used in the corresponding publication.Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Amo-Ochoa, Pilar; Maldonado, Noela; Latorre, Ana; Zamora, Félix; Somoza, Álvaro; Gómez-García, Carlos J.; Bastida, Agatha, 2022, "A nanostructured Cu(II) coordination polymer based on alanine as a tri-functional mimic enzyme and efficient composite in the detection of Sphingobacteria", https://doi.org/10.21950/NR3KKL, e-cienciaDatos, V1
This research raises the potential use of coordination polymers as new useful materials in two essential research fields, allowing the obtaining of a new multi artificial enzyme with the capacity to inhibit the growth of bacteria resistance. The fine selection of the ligands allo... |
25 ene 2022 - Universidad de Alcalá
Alba de la Vara; Iván M. Parras-Berrocal; Alfredo Izquierdo; Dmitry V. Sein; William Cabos, 2025, "Climate change signal in the ocean circulation of the Tyrrhenian Sea", https://doi.org/10.5281/ZENODO.5901640
ROM model data for climate change signal in the ocean circulation of the Tyrrhenian Sea.Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
16 ene 2022 - Universidad Carlos III de Madrid
Jia, Shi; Lo, Mu-Chieh; Zhang, Lu; Ozolins, Oskars; Udalcovs, Aleksejs; Kong, Deming; Pang, Xiaodan; Guzman, Robinson; Yu, Xianbin; Xiao, Shilin; Popov, Sergei; Chen, Jiajia; Carpintero, Guillermo; Morioka, Toshio; Hu, Hao; Oxenløwe, Leif K., 2025, "Data accompanying "Integrated Dual-Laser Photonic Chip for High-Purity Carrier Generation Enabling Ultrafast Terahertz Wireless Communications"", https://doi.org/10.5281/ZENODO.5855331
This dataset contains measurement data for the results presented in "Integrated Dual-Laser Photonic Chip for High-Purity Carrier Generation Enabling Ultrafast Terahertz Wireless Communications". | The work is also supported by Danish center of excellence CoE SPOC under Grant DNRF...Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
14 ene 2022 - Universidad de Alcalá
Masao, Catherine A.; Prescott, Graham W.; Snethlage, Mark A.; Urbach, Davnah; Torre-Marin Rando, Amor; Molina-Venegas, Rafael; Mollel, Neduvoto P.; Hemp, Claudia; Hemp, Andreas; Fischer, Markus, 2025, "Data for Stakeholder Perspectives on Nature, People, and Sustainability at Mount Kilimanjaro", https://doi.org/10.5281/ZENODO.5846443
Title: Data for ‘Stakeholder Perspectives on Nature, People, and Sustainability at Mount Kilimanjaro’ Recommended Citation: Masao CA, Prescott GW, Snethlage MA, Urbach D, Torre-Marin Rando A, Molina-Venegas R, Mollel NP, Hemp C, Hemp A, Fischer M (2022). People and Nature. Princi...Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Velasco, Francisco J., 2022, "J Molec Liq 117856 2022", https://doi.org/10.21950/IAXM05, e-cienciaDatos, V2
Numerical data files were obtained from electrochemical measurements and DFT calculations. XPS and FTIR data were obtained from direct measurements of surfaces. SEM images and consequent EDS analysis were taken on steel surfaces after immersion in inhibitor-containing solution. D... |
13 ene 2022 - BURNED AREA REFERENCE DATABASE (BARD)
Stroppiana, Daniela; Sali, Matteo; Busetto, Lorenzo; Boschetti, Mirco; Franquesa Fuentetaja, Magi, 2022, "FireCCI_Africa_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Africa continental for the year 2019", https://doi.org/10.21950/VKFLCH, e-cienciaDatos, V1
The FireCCI_Africa_2019_S2 reference dataset was derived from S2 images over a set of 50 tiles (sampling units) sampled following a design customized for the Sentinel tiling grid system and to represent major fire regimes of the African continent in the different ecoregions. Over... |
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... |
21 dic 2021 - Universidad Carlos III de Madrid
Giulia, Lo Dico; Siska, Croubels; Verónica, Carcelén; Maciej, Haranczyk, 2025, "Machine learning-aided design of composite mycotoxin detoxifier material for animal feed", https://doi.org/10.5281/ZENODO.5793956
Model codes and dataset associated to "Machine learning-aided design of composite mycotoxin detoxifier material for animal feed, Giulia Lo Dico, Siska Croubels, Verónica Carcelén, and Maciej Haranczyk, Sci. Rep., 2022".Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
