31 a 40 de 109 Resultados
16 dic. 2021 - Yearly Local Disturbance index datasets
Guerrero Ortega, Antonio; Cid Tortuero, Consuelo; Saiz Villanueva, Elena, 2021, "Local Geomagnetic index (LDi) for 2015 at different locations", https://doi.org/10.21950/3YR8Y4, 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 f... |
16 dic. 2021 - Yearly Local Disturbance index datasets
Guerrero Ortega, Antonio; Cid Tortuero, Consuelo; Saiz Villanueva, Elena, 2021, "Local Geomagnetic index (LDi) for 2016 at different locations", https://doi.org/10.21950/GYBLU7, 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 f... |
16 dic. 2021 - Yearly Local Disturbance index datasets
Guerrero Ortega, Antonio; Cid Tortuero, Consuelo; Saiz Villanueva, Elena, 2021, "Local Geomagnetic index (LDi) for 2017 at different locations", https://doi.org/10.21950/MZXBCB, 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 f... |
16 dic. 2021 - Yearly Local Disturbance index datasets
Guerrero Ortega, Antonio; Cid Tortuero, Consuelo; Saiz Villanueva, Elena, 2021, "Local Geomagnetic index (LDi) for 2018 at different locations", https://doi.org/10.21950/IU1YVK, 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 f... |
16 dic. 2021 - Yearly Local Disturbance index datasets
Guerrero Ortega, Antonio; Cid Tortuero, Consuelo; Saiz Villanueva, Elena, 2021, "Local Geomagnetic index (LDi) for 2019 at different locations", https://doi.org/10.21950/UBR8XQ, 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 f... |
16 dic. 2021 - Yearly Local Disturbance index datasets
Guerrero Ortega, Antonio; Cid Tortuero, Consuelo; Saiz Villanueva, Elena, 2021, "Local Geomagnetic index (LDi) for 2020 at different locations", https://doi.org/10.21950/BYPBLR, 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 f... |
10 dic. 2021 - Universidad Rey Juan Carlos
González Gutiérrez, José Luis; López López, Almudena; Alonso Fernández, Miriam; Écija Gallardo, Carmen; Matías Pompa, Borja; Pacho Hernández, Juan Carlos, 2021, "Stressors, uplifts, coping and well-being in a sample of university faculty and staff in confinement due to covid-19", https://doi.org/10.21950/QE7KOA, e-cienciaDatos, V1
This database includes the response of 120 employees of Universidad Rey Juan Carlos to a three-wave survey started at the height of full confinement due to the COVID-19 pandemic in Spain (wave 1) between April 20th to May 5th of 2020, followed by a second wave four weeks later (w... |
9 dic. 2021 - Universidad Autónoma de Madrid
Carracedo-Cosme, Jaime; Romero-Muñíz, Carlos; Pou, Pablo; Pérez, Rubén, 2021, "QUAM-AFM", https://doi.org/10.21950/UTGMZ7, e-cienciaDatos, V1
QUAM–AFM is the largest dataset of simulated Atomic Force Microscopy (AFM) images generated from a selection of 685,513 molecules that span the most relevant bonding structures and chemical species in organic chemistry. QUAM-AFM contains, for each molecule, 24 3D image stacks, ea... |