1,921 to 1,930 of 2,383 Results
Dec 16, 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 from observed measurements. See also Files description. |
Dec 16, 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 from observed measurements. See also Files description. |
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 (wave 2, corresponding to Phase 1 of de-escalation) between June 2nd and... |
Dec 9, 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, each consisting of constant-height images simulated for 10 tip-sample di... |
Dec 9, 2021 - Universidad Autónoma de Madrid
Carracedo-Cosme, Jaime; Romero-Muñíz, Carlos; Pou, Pablo; Pérez, Rubén, 2021, "QUAM-AFM Lite", https://doi.org/10.21950/BFAU11, e-cienciaDatos, V1
QUAM–AFM Lite is the scaled-down version of QUAM-AFM, the largest dataset of simulated Atomic Force Microscopy (AFM) images. This reduced version was generated from a selection of 1,755 molecules that span the most relevant bonding structures and chemical species in organic chemistry. Similar to the extended version, QUAM-AFM Lite contains, for eac... |
Dec 2, 2021 - Nonlinear Solid Mechanics
Kumar, Anil, 2021, "MAK_KEN_NH_NJ_JARM_IJMF_2021", https://doi.org/10.21950/SNA4J5, e-cienciaDatos, V1
This dataset contains the MATHEMATICA codes used to implement the Linear Stability Analysis and the Nonlinear Two-Zone models developed in Anil Kumar et al. (2021). References: Anil Kumar M., N’souglo K. E., Hosseini N., Jacques N., Rodríguez-Martínez, J.A. Theoretical predictions of dynamic necking formability of ductile metallic sheets with evolv... |
Nov 25, 2021 - Universidad Autónoma de Madrid
Nelke, Anna; Garcia Lopez, Silvia; Martinez Serrano, Alberto; Pereira, Marta, 2021, "Differential protein expression of neural stem cells in proliferation and dopaminergic differentiation conditions", https://doi.org/10.21950/06EW6H, e-cienciaDatos, V1
This proteomic study was done in order to analyze the differential protein expression of neural stem cells during proliferation and induction of differentiation in vitro. All samples are human neural stem cells derived from fetal ventral mesencephalon (hVM1 clone 32 cell line). Experimental conditions included cells in proliferation and cells induc... |
Nov 25, 2021 - Universidad Autónoma de Madrid
Nelke, Anna; Garcia Lopez, Silvia; Martinez Serrano, Alberto; Pereira, Marta, 2021, "Differential gene expression of neural stem cells in proliferation and dopaminergic differentiation conditions", https://doi.org/10.21950/4IXBTX, e-cienciaDatos, V1
This NGS study was done in order to analyze the differential gene expression of neural stem cells during proliferation and induction of differentiation in vitro. All samples are human neural stem cells derived from fetal ventral mesencephalon (hVM1 clone 32 cell line). Experimental conditions included cells in proliferation and cells induced for do... |
Nov 11, 2021 - Universidad Carlos III de Madrid
Serrano, Pablo; Gramaglia, Marco; Mancini, Francesco; Chiaraviglio, Luca; Bianchi, Giuseppe, 2021, "Dataset used in "Balloons in the Sky: Unveiling the Characteristics and Trade-offs of the Google Loon Service"", https://doi.org/10.5281/ZENODO.5676212
This dataset was used for the paper "Balloons in the Sky: Unveiling the Characteristics and Trade-offs of the Google Loon Service" It is composed of three different files, identifying three different case studies Peru, Puerto Rico, and Kenya Once uncompressed, the files are stored in parquet format. They can be analyzed using e.g. pyspark with the...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Nov 3, 2021 - Grupo de Comunicaciones (GCOM)
López Morales, Manuel José, 2021, "Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM"", https://doi.org/10.21950/DM47HJ, e-cienciaDatos, V1
The dataset contains all the figures present in the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM" in .fig format, so they can be opened and used for comparison purposes. |
