341 to 350 of 553 Results
Aug 22, 2023 - Universidad Carlos III de Madrid
Castillo-Reyes, Octavio; Rulff, Paula; Schankee Um, Evan; Amor-Martin, Adrian, 2023, "Meshing strategies for 3D geo-electromagnetic modeling in the presence of metallic infrastructure", https://doi.org/10.5281/ZENODO.8272681
Accompanying data to journal article Castillo-Reyes, O., Rulff, P., Schankee Um, E., Amor-Martin, A. (2023) Meshing strategies for 3D geo-electromagnetic modeling in the presence of metallic infrastructure. Accepted for publication in Computational Geosciences. | The research leading of this study has received funding from the Ministerio de Educaci...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Aug 17, 2023 - Universidad Carlos III de Madrid
Pabón-Guerrero, Yazmin Andrea; Rojas-Bolaños, Líder Julian; Niño-Zambrano, Miguel Angel, 2023, "User Profile Ontology for IoT", https://doi.org/10.5281/ZENODO.8253871
The requirements that the user profile model for the IoT should have in order to be reusable and extensible were identified by studying related research. Personal information of the user, their health condition, activities carried out, profession, and information about the places frequented should all be included. In order to make user profile in t...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Aug 9, 2023 - Universidad de Alcalá
Mombarg, Joey; Rieutord, Michel; Espinosa Lara, Francisco, 2023, "The first two-dimensional stellar structure and evolution models of rotating stars", https://doi.org/10.5281/ZENODO.8228903
2D ESTER evolution models of a 12Msun star, as presented in Mombarg, Rieutord & Espinosa Lara (2023). 'O15' ('O50') indicates the model starting at 15% (50%) of the initial critical rotation rate. The ESTER models are easiest read in with the python package that comes with the ESTER installation. Alternatively, with Python: import numpy as np impor...Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Aug 8, 2023 - Universidad Carlos III de Madrid
Kukic, Leonard, 2026, "Data and replication files for "Technical change and the postwar slowdown in Soviet economic growth in a long run perspective, 1885-2019"", https://doi.org/10.3886/E193191
Data and replication files for "Technical change and the postwar slowdown in Soviet economic growth in a long run perspective, 1885-2019"Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Aug 8, 2023 - Universidad Carlos III de Madrid
Pullabhotla, Hemant K.; Souza, Mateus, 2022, "Replication files for: "Air Pollution from Agricultural Fires Increases Hypertension Risk"", https://doi.org/10.5281/ZENODO.4319729
Replication files for: "Air Pollution from Agricultural Fires Increases Hypertension Risk"Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Aug 7, 2023 - Universidad de Alcalá
Alejandro Sánchez Gómez, 2023, "alejandrosgz/WRR_SA_SC_hydrological_modelling: Repository: Using sensitivity analysis and soft calibration of geological regions to improve the representation of hydrological processes in a SWAT+ model.", https://doi.org/10.5281/ZENODO.8221457
First version of the repository of the manuscript Using sensitivity analysis and soft calibration of geological regions to improve the representation of hydrological processes in a SWAT+ model , submited to Water Resources Research. This version constains all the code and data neccessary to perform the Soft calibration. Data related to the Sensitiv...Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Aug 7, 2023 - Universidad Carlos III de Madrid
Tomasz Raducha; Mateusz Wilinski; Jarosław Klamut; Paul Bouman; Roger Cremades, 2023, "Electoral Systems Simulations (v1.0.0)", https://doi.org/10.5281/ZENODO.8220452
This version of the repository is our first release. It contains the simulation code as used in our first paper.Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Jul 31, 2023 - Universidad Carlos III de Madrid
Miguel Angel Moreno Mateos; Kostas Danas; Daniel Garcia-Gonzalez, 2023, "FEniCS/FEniCSx complete code for magnetic actuation on magnetorheological elastomers modelling the entire boundary value problem for the permanent magnet and electromagnet actuation setups", https://doi.org/10.5281/ZENODO.8129309
FEniCS/FEniCSx complete code for magnetic actuation on magnetorheological elastomers modelling the entire boundary value problem for the permanent magnet and electromagnet actuation setups. The content includes two cases: 1. A simulation case where the magnetic actuation is imposed using a permanent magnet: simulation_permanentmagnet_slender_fenics...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Jul 26, 2023 - Universidad Carlos III de Madrid
CHEN, Junwei; DISCETTI, Stefano; RAIOLA, Marco, 2022, "Dataset of "Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes"", https://doi.org/10.5281/ZENODO.6473074
Dataset of the article Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes (https://doi.org/10.1016/j.expthermflusci.2022.110647). A data-driven method is applied to combine non-time-resolved velocity field and fast probe data, and achieve time-resolved velocity and pressure field. The codes processing data he...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Jul 26, 2023 - Universidad Carlos III de Madrid
Tirelli, Iacopo; Ianiro, Andrea; Discetti, Stefano, 2022, "Dataset of "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification"", https://doi.org/10.5281/ZENODO.6922576
Dataset of the article "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification" (https://doi.org/10.1016/j.expthermflusci.2022.110756). Local similarity between non-time-resolved snapshots is enforced by KNN to extract high-resolution velocity fields and estimate the uncertainty of the measurements. The...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
