BUSCADOR RECOLECTA

This dataset collects 1,433 bibliographic references related to Spanish architecture during the Franco's dictatorship (1939-1975). The research was focused on news of Spanish Architecture abroad, including academic journals, architectural press, conference proceedings, books, book chapters, magazines and newspapers, but it excludes the Spanish media. All references were tagged including names of architects, buildings, types of buildings and cities. The database is delivered in three file formats (BibTeX, RIS and Zotero RDF), which are compatible with several reference managers as Zotero, Mendeley, EndNote or RefWorks. This dataset was produced by the R&D project “Spanish architecture in international communication media: Publications, exhibitions, congresses (First part: 1940-1975)”. Three ways were used to find the news: Firstly, systematic research was done using architectural databases as Avery Index to Architectural Periodicals, JSTOR or ProQuest Periodicals Index Online; secondly, the most influential architectural magazines were revised in paper (The Architectural Review, Architectural Forum, Casabella continuità, Domus or L’Architecture d’Aujourd’hui); and thirdly, some authors and works were studied following bibliographical references published in their monographs.

Biomechanical data on the strength of Cerebral Bridging Veins (CBVs), a study funded by La Marató de TV3 (2020-2021). Data on maximum axial force on the tested specimens, strain rate of the test, and the relationship between the two are examined and the probability distributions for the sample are obtained. Data set used for the article "Injury metrics for assessing the risk of acute subdural hematoma in traumatic events" (2021), published in IJERPH ( ISSN: 1660-4601, Basel, Switzerland, MDPI), Project: ``Age Effects on Traumatic Brain Injuries'' funded by Fundació La Marató de TV3, Barcelona, No. Grant 289/C/2017, 201704.30.

Measurements of the water surface elevation were taken close to the wavemaker, along the sloping foreshore and at the dike toe location by resistance type wave gauges. The overtopping flow properties thickness and velocity were measured by ultra-sonic distance sensors and high-speed cameras. Due to its large storage size, the whole set of data is provided on request., The experimental data refer to physical model tests carried out in 2019 from May to December at the wave flume CIEMito of the Maritime Engineering Laboratory (LIM) of the Universitat Politècnica de Catalunya – BarcelonaTech (UPC). The experiments aimed at characterizing the flow characteristics associated to the maximum individual overtopping volumes, due to specific storm events with different return periods. Specifically, the experiments focused on the measurements of overtopping volumes and discharges, in order to find the relation between these parameters with the corresponding overtopping flow velocities and overtopping flow depth, when the maximum overtopping event occurs on a dike during a sea state. A model geometry comprised of a sloping beach, a sloping dike and promenade was built into the CIEMito flume.

Data obtained from Computational Aeroacoustic simulation of Curle and F.WH analogies with OpenFoam., This dataset includes the results of the aeroacoustics field of a tandem cylinder calculated using Curle's and F-WH analogy with OpenFOAM. The sound levels are measured as Power Spectral Density (PSD). The temporal acoustic pressure data is also included.

The data refer to an experimental campaign carried out to characterize the forces involved in the failure of the Pont del Petroli (Badalona, Catalonia) due to the storm Gloria happened in the night of the 20 January 2020. The experiments were carried out in the CIEM (Canal d’Investigació i Experimentació Marítima) wave flume in the Laboratory of Maritime Engineering of the UPC (Universitat Politecnica de Catalunya - BarcelonaTech, Barcelona, Catalonia)., Data include measurements of water surface elevation along the wave flume and wave loading (forces + pressures) on elements of the pier. Both raw and post-processed data are provided.

Data include the active (kW) and reactive (kvar) power for the pilot area of H2020 RESOLVD project, each item in one column and with a time step of one hour and one year length.

Data include the voltage and current at the transformer terminals, also the measured current losses from applying various switching strategies. This data serves to reproduce Figure 18 and 19 in the paper.

The dataset contains the following files: (1) readme.txt, it is a text file including details about the content of the dataset; (2) Measurement in ARSD_SMS_Data.xls, it is a MS Excel file containing the data used in the analysis of the primary studies, reported in Section 4 of the paper; and, (3) Metrics in ARSD.pdf, it is pdf file containing the complete list of metrics reported in the different primary studies. The metrics are classified into the following categories: QR metrics, QMIs, and QMI metrics. In the MS Excel file, the data is organised in separated sheets: (a) RQ1 - Literature characterisation; (b) RQ2 - QR Metrics, where QR refers to Quality Requirements; (c) RQ3 - QMI, where QMI refers to Quality Management Indicators; (d) RQ3 - Tools, corresponding to the reported tools used to manage QMIs; and, (e) RQ3 - QMI Metrics., This dataset has been used to generate part of the results included in the manuscript: “Quality Measurement in Agile and Rapid Software Development: A Systematic Mapping”, submitted to the Information and Software Technology journal (IST) at the time of publishing this dataset. The paper reports the results of a systematic mapping study surveying the literature related to quality requirements management through metrics in agile and rapid software development processes. The dataset contains the data extracted from the primary studies that was used in the analysis phase of the study and reported in the results section of the paper. The data extracted from the primary studies has been complemented with some data used for specific purposes, e.g. during the analysis phase, we included the list of companies collaborating in the paper analysing the authors’ affiliations to understand the level of implication of companies in the field. Complementing the data analysed, the dataset includes some detailed results that are not included in the body of the paper, i.e., the list of metrics reported in the selected primary studies.

We have created a representative dataset based on the collection of different traffic metrics from VANET simulations in urban scenarios. The five collected metrics that compose the dataset used to train and test our ML-based forwarding algorithm are available bandwidth, distance to destination, vehicles’ density, MAC layer losses, and vehicle’s trajectory. Notice that those metrics are gathered by the vehicles from the beacons periodically interchanged with the vehicles in their neighborhood (i.e., with vehicles within their transmission range). This way, nodes have local knowledge of the VANET, according to the decentralized nature inherent in VANETs.

The data have been acquired during the experimental campaign carried out in the Steep Slope Flume at Morphodynamics Laboratory I of the GITS group in BarcelonaTech-Universtitat Politècnica de Catalunya. Data published here comprise the measurements carried out in the laboratory related with velocity profiles in steep channels with low relative submergence. Flume slope ranged between 2-10% and same bed material had been used (a basaltic gravel of 1.45 mm of main diameter) for all the experiments. 30 experiments were carried out with 165 velocity profile measurements.