Encuesta satisfacción e-cienciaDatos
e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es miembro de Harvard Dataverse Network, aceptado por las principales editoriales científicas y cumple los requisitos del H2020.
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781 a 790 de 940 Resultados
16 mar 2023 -
Comparison of MDA methods
Archivo Gzip - 2,6 GB -
MD5: 05779bfec918e8ee69e9b572d6f69023
piMDA+D sample reverse reads |
16 mar 2023 -
Comparison of MDA methods
Texto plano - 4,4 KB -
MD5: 5610bb800d6c25e106aeea69bd96236d
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8 mar 2023
Faezeh Khorram; Antonio Garmendia, 2023, "A Virtual Machine for Running Coverage4DSLs Tool", https://doi.org/10.5281/ZENODO.7178668
This repository provides a virtual machine that is set up for running the tool of our paper titled "A Language-Parametric Test Coverage Framework for Domain-Specific Languages", submitted for review to the Journal of Systems and Software (JSS), 2023. Link to the tool: https://git...Dataset recolectado desde DataCite con autores de la UAM. El enlace le llevará directamente a los datos originales en dicho archivo. |
8 mar 2023
Faezeh Khorram; Antonio Garmendia, 2023, "A Virtual Machine for Running Coverage4DSLs Tool", https://doi.org/10.5281/ZENODO.7705853
This repository provides a virtual machine that is set up for running the tool of our paper titled "A Language-Parametric Test Coverage Framework for Domain-Specific Languages", submitted for review to the Journal of Systems and Software (JSS), 2023. Link to the tool: https://git...Dataset recolectado desde DataCite con autores de la UAM. El enlace le llevará directamente a los datos originales en dicho archivo. |
25 feb 2023 -
XChem_v1
Archivo ZIP - 49,5 MB -
MD5: ddad8c755855badf5d2f125028396f73
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25 feb 2023
XChem is a solution for an all-electron ab-initio calculation of the electronic continuum of molecular systems. XChem combines the tools of quantum chemistry (as implemented in Molcas) and scattering theory to accurately account for electron correlation in the single-ionization c... |
26 ene 2023
Mediavilla, Roberto, 2023, "RESPOND-HCWs - Mental health outcomes", https://doi.org/10.21950/HN1HNO, e-cienciaDatos, V2
RESPOND is an EU funded research project running from 2020 to 2023. The project aims to identify which groups are most at risk for adverse mental health effects due to the COVID-19 pandemic, as well as to understand what determines that risk. In Spain, we conducted a randomised c... |
26 ene 2023 -
RESPOND-HCWs - Mental health outcomes
Texto plano - 3,7 KB -
MD5: 9dcc1bddf8f1f0f7a00d3e4de772f935
Codebook of the RESPOND-HCWs anonymised dataset |
25 ene 2023 -
RESPOND-HCWs - Mental health outcomes
Texto plano - 4,6 KB -
MD5: 5ef698a78d13abbd9b86ec3bd6889241
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25 ene 2023 -
RESPOND-HCWs - Mental health outcomes
application/mac-compactpro - 157,9 KB -
MD5: 2ac1ed70ab579feff2d8335f2dda87b4
ENCRYPTED FILE. Send a message to joseluis.ayuso@uam.es in order to obtain the password wich decrypts the file |