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Repositorio de Datos del Consorcio Madroño

Universidad de Alcalá

Universidad Autónoma de Madrid

Universidad Carlos III de Madrid

Universidad Nacional de Educación a Distancia (UNED)

Universidad Politécnica de Madrid

Universidad Rey Juan Carlos

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15,531 to 15,540 of 19,954 Results

Introductory Notebooks on Machine Learning topics Sep 12, 2022 - Universidad Carlos III de Madrid Jesus Cid-Sueiro; Jerónimo Arenas-García; Vanessa Gómez-Verdejo, 2021, "Introductory Notebooks on Machine Learning topics", https://doi.org/10.5281/ZENODO.4617259 Collection of Notebooks for Machine Learning Courses. Intended to be used in ML courses taught by the authors at Universidad Carlos III de Madrid, but also as open resources for any other person interested in learning about Machine Learning with theoretical aspects and many examples ! Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
J Build Eng 105055 2022 Sep 8, 2022 - Universidad Carlos III de Madrid Velasco, Francisco J., 2022, "J Build Eng 105055 2022", https://doi.org/10.21950/VQBDOA, e-cienciaDatos, V1 Numerical data files were obtained from electrochemical measurements. 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. DFT images were obtained directly from direct analysis as explained in the paper.
NATCON_02_JBuildEng_20220308_V1_Figure_1.xlsx Sep 8, 2022 - J Build Eng 105055 2022 Hoja de cálculo MS Excel - 136,4 KB - MD5: 5a3efe5da9a831080d3cf94c68e05f7a DataDatos
NATCON_02_JBuildEng_20220308_V1_Figure_2.tab Sep 8, 2022 - J Build Eng 105055 2022 Tabular Data - 5,7 KB DataDatos
NATCON_02_JBuildEng_20220308_V1_Figure_3.xlsx Sep 8, 2022 - J Build Eng 105055 2022 Hoja de cálculo MS Excel - 221,3 KB - MD5: 5137186f0c38a5acc31278256844d898 DataDatos
NATCON_02_JBuildEng_20220308_V1_Figure_4b.xlsx Sep 8, 2022 - J Build Eng 105055 2022 Hoja de cálculo MS Excel - 260,7 KB - MD5: a2b876134b06a96515b4189b50a13115 DataDatos
NATCON_02_JBuildEng_20220308_V1_Figure_4c.xlsx Sep 8, 2022 - J Build Eng 105055 2022 Hoja de cálculo MS Excel - 240,2 KB - MD5: eac59c0ae452ff99b11e254d95534bb0 DataDatos
NATCON_02_JBuildEng_20220308_V1_Figure_5.xlsx Sep 8, 2022 - J Build Eng 105055 2022 Hoja de cálculo MS Excel - 247,9 KB - MD5: 1b525b7608031003ac42b61318b0e35d DataDatos
NATCON_02_JBuildEng_20220308_V1_Figure_6.tab Sep 8, 2022 - J Build Eng 105055 2022 Tabular Data - 151,8 KB DataDatos
NATCON_02_JBuildEng_20220308_V1_readme.txt Sep 8, 2022 - J Build Eng 105055 2022 Texto plano - 3,8 KB - MD5: a1f2cca14deae92c4a40d78a6d922df5 DocumentaciónDocumentation

Introductory Notebooks on Machine Learning topics

Sep 12, 2022 - Universidad Carlos III de Madrid

Jesus Cid-Sueiro; Jerónimo Arenas-García; Vanessa Gómez-Verdejo, 2021, "Introductory Notebooks on Machine Learning topics", https://doi.org/10.5281/ZENODO.4617259

Collection of Notebooks for Machine Learning Courses. Intended to be used in ML courses taught by the authors at Universidad Carlos III de Madrid, but also as open resources for any other person interested in learning about Machine Learning with theoretical aspects and many examples !

Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.

J Build Eng 105055 2022

Sep 8, 2022 - Universidad Carlos III de Madrid

Velasco, Francisco J., 2022, "J Build Eng 105055 2022", https://doi.org/10.21950/VQBDOA, e-cienciaDatos, V1

Numerical data files were obtained from electrochemical measurements. 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. DFT images were obtained directly from direct analysis as explained in the paper.

NATCON_02_JBuildEng_20220308_V1_Figure_1.xlsx