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Repositorio de Datos del Consorcio Madroño
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16,161 to 16,170 of 19,954 Results
Jan 12, 2022 - J Molec Liq 117856 2022
Hoja de cálculo MS Excel - 102,7 KB - MD5: 776dfb96ab1ad9adb17d579853bc6bdd
DataDatos
Jan 12, 2022 - J Molec Liq 117856 2022
Hoja de cálculo MS Excel - 31,0 KB - MD5: 892e3e4657ff8e953b584fde541fa934
DataDatos
Jan 12, 2022 - J Molec Liq 117856 2022
Hoja de cálculo MS Excel - 23,8 KB - MD5: 2f89696a38d3e56809d034dbf4f52d7f
DataDatos
Jan 12, 2022 - J Molec Liq 117856 2022
Desconocido - 366,1 KB - MD5: 97d5a5e508e84b497026e09c89a5d577
DataDatos
Jan 12, 2022 - J Molec Liq 117856 2022
Desconocido - 5,0 MB - MD5: 038d8476584a7fc297e4b74a1166e2e6
DataDatos
Jan 12, 2022 - J Molec Liq 117856 2022
Desconocido - 266,1 KB - MD5: fb9810c2cfaf63220310b0c95fdce953
DataDatos
Dec 28, 2021 - Universidad de Alcalá
Peters, Jens F.; Baumann, Manuel; Binder, Joachim; Weil, Marcel, 2021, "On the environmental competitiveness of Sodium-Ion batteries under a full life cycle perspective – A cell-chemistry specific modelling approach", https://doi.org/10.5281/ZENODO.4742245
This upload provides the full supplementary information and the MS-Excel based cell dimenioning tool used in the underlying publication (Environmental impacts of Sodium-Ion Batteries – Advances in production, use and recyclability) It is based on the BatPac-Tool created by Argonne National Laboratories, but with some substantial modifications: Redu...
Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Dec 20, 2021 - Universidad Carlos III de Madrid
Giulia, Lo Dico; Siska, Croubels; Verónica, Carcelén; Maciej, Haranczyk, 2021, "Machine learning-aided design of composite mycotoxin detoxifier material for animal feed", https://doi.org/10.5281/ZENODO.5793955
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 DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
Dec 16, 2021 - Yearly Local Disturbance index datasets
Guerrero Ortega, Antonio; Cid Tortuero, Consuelo; Saiz Villanueva, Elena, 2021, "Local Geomagnetic index (LDi) for 1992 at different locations", https://doi.org/10.21950/1GVXGL, e-cienciaDatos, V1
This local geomagnetic index indicates the perturbation of the geomagnetic field (horizontal component) for several locations. It is a measure of the external to the Earth irregular geomagnetic variations. It is obtained after removing a baseline and the daily regular variation from observed measurements. See also Files description.
Texto plano - 4,8 KB - MD5: ccd0f14edad542ec0cfdd188889c1aca
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