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3,151 to 3,160 of 3,312 Results
Archivo Gzip - 2,9 GB - MD5: e87727940ed9dc19143550e7ce6e4737
DataDatos
RP-MDA sample reverse reads
Archivo Gzip - 2,7 GB - MD5: 7597dff36c78f877dc61641638ce5759
DataDatos
piMDA+D sample forward reads
Archivo Gzip - 2,6 GB - MD5: 05779bfec918e8ee69e9b572d6f69023
DataDatos
piMDA+D sample reverse reads
Texto plano - 4,4 KB - MD5: 5610bb800d6c25e106aeea69bd96236d
DocumentaciónDocumentation
Mar 8, 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://github.com/Faezeh-Kh/Coverage4DSLs
Dataset recolectado desde DataCite con autores de la UAM. El enlace le llevará directamente a los datos originales en dicho archivo.
Mar 8, 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://github.com/Faezeh-Kh/Coverage4DSLs
Dataset recolectado desde DataCite con autores de la UAM. El enlace le llevará directamente a los datos originales en dicho archivo.
Feb 25, 2023 - XChem_v1
Archivo ZIP - 49,5 MB - MD5: ddad8c755855badf5d2f125028396f73
CodeCódigo
Feb 25, 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 continuum of atoms, small and medium-size molecules. Original developer...
Jan 26, 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 controlled trial among healthcare workers (HCWs) with psychological dis...
Texto plano - 3,7 KB - MD5: 9dcc1bddf8f1f0f7a00d3e4de772f935
DocumentaciónDocumentation
Codebook of the RESPOND-HCWs anonymised dataset
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