BUSCADOR RECOLECTA

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.

These data are associated to the paper with the same title and are structured according to the figures in the paper. These data correspond to the research results of the WP3 of the European Project 4D-POLYSENSE., The present dataset reports the scientific results corresponding to a scientific study where a bidimensional (2D) polypropylene flexible mesh material has been converted into a fourth dimension (4D) dynamic system. The platform is composed by a fibres of isotactic polypropylene (iPP) mesh coated with thermosensitive poly(N-isopropylacrylamide-co-N,N'-methylene bis(acrylamide) (PNIPAAm-co-MBA) hydrogel, and undergoes variations in its geometry by reversible folding/unfolding behaviour. Folding and unfolding motion in aqueous solution of bilayer and monolayer systems composed by two or one layer of hydrogel, respectively, are reported in the present dataset. Furthermore, an infrared thermographic camera and an optical microscope were used to evaluate the macroscopic and microscopic structure stimulus response in air. Additionally, PP-g-PNIPAAm meshes showed an increase in the mechanical properties (bursting strength) with respect to the uncoated mesh.

This dataset has been used to generate part of the results included in the manuscript: "Cooperative Learning for End-to-End Delay Modeling in Multi-Domain Networks", submitted to IEEE Transactions on Network and Service Management (TNSM) at the time of publication of this dataset. The dataset contains synthetic end-to-end (e2e) delay and traffic measurements for multidomain paths established in a network consisting in three domains. Paths traverse either two or three domains. Besides e2e monitoring data, routing information of the paths and the models used to compute the delay introduced for each domain (i.e. intra-domain delay components of total e2e delay) are provided. Traffic and delay data were synthetically generated according to the CURSA-SQ methodology. For further details about it, please refer to the following reports: "The Logistic Queue Model", Tech. Rep. UPC-DAC-RR-GEN-2020-1 (Available online: https://people.ac.upc.edu/lvelasco/docs/research/UPC-DAC-RR-GEN-2020-1.pdf) and "Validation of the CURSA-SQ Methodology", Tech. Rep. UPC-DAC-RR-GEN-2020-2 (Available online: https://people.ac.upc.edu/lvelasco/docs/research/UPC-DAC-RR-GEN-2020-2.pdf)

This file includes data used in the calibration of statistical models for the different random variables affecting stainless steel members. This data was used in the analysis carried out and reported in the publication: Arrayago I., Rasmussen K.J.R., Real E. Statistical analysis of the material, geometrical and imperfection characteristics of structural stainless steels and members Journal of Constructional Steel Research 175, 106378, 2020. DOI: https://doi.org/10.1016/j.jcsr.2020.106378 Measured and nominal values are listed for geometry-related data. Measured values are listed for material, imperfection and residual stress data.

These data are associated to the paper with the same title and are structured according to the figures in the paper. These data correspond to the research results of the WP2 of the European Project 4D-POLYSENSE., The present dataset collects and reports the scientific results corresponding to a scientific study of a commercial and fully flexible versatile bilayer system, composed by a polypropylene (PP) mesh and a covalently bonded poly(N-isopropylacrylamide) (PNIPAAm) hydrogel. In this study the mechanism responsible for cell-adhesion and de-adhesion, when the PNIPAAm-co-MBA monolayer film (adherent on one hand to the PP substrate and anti-adherent on the other hand to cell proliferation) is being employed, has been elucidated. The grafting of the hydrogel was studied and the the graft yield as well as the spectroscopic characterization (FTIR and XPS) of samples treated at different concentration of the crosslinker and different grafting time are ported in the present dataset. The scientific results of cell adhesion and biocompatibility assay are also included, being the in vitro results with fibroblast (COS-1) and epithelial (MCF-7) cells obtained with a mesh modified with a porous iPP-g-PNIPAAm bilayer system, prepared via PNIPAAm grafting for 2 h at the lowest N,NI-methylene bis(acrylamide) (MBA) concentration (1 mM).

These data are associated to the paper with the same title and are structured according to the figures in the paper. These data correspond to the research results of the WP1 of the European Project 4D-POLYSENSE., In the scientific publication corresponding to the present dataset, a commercial and fully flexible monofilament polypropylene mesh has been used for the deposition of a thermosensitive hydrogel, generated by graft copolymerization of N-isopropylacrylamide (NIPAAm) and N,NI-methylene bis(acrylamide) (MBA) monomers. The study represents an initial step for the future development of a new generation of surgical meshes, able to interact with the complex three-dimensional structure of biological tissues, as smart materials working as self-evolving motion sensors. The meshes were previously functionalized by O2-plasma method and subsequently grafted with the thermoresponive hydrogel and the data related to micro- and standard spectroscopy techniques empoyed for the characterization, such as Raman spectroscopy, FTIR spectroscopy and XPS, are reported in the present dataset. Additionally, the data of graft yield and thermoresponsive properties of PNIPAAm (VPTT behaviour) are included in the dataset

Datos recopilados en el análisis de la colecciones docentes disponibles en los repositorios institucionales de las universidades españolas.

These data are associated to the paper with the same title of the authors, and are structured according to the figures in the paper: http://hdl.handle.net/2117/335727, The use of Cold Atmospheric Plasma (CAP) in oncology is being recently studied as a novel potential anti-cancer therapy. However, the beneficial effects of CAP for treating osteosarcoma have mostly been demonstrated in 2-dimensional cultures of cells, which do not mimic the complexity of the 3-dimensional (3D) bone microenvironment. In order to evaluate the effects of CAP in a relevant context of the human disease, we developed a 3D tissue-engineered model of osteosarcoma using a bone-like scaffold made of collagen type I and hydroxyapatite nanoparticles. Human osteosarcoma cells cultured within the scaffold showed a high capacity to infiltrate and proliferate and to exhibit osteomimicry in vitro. As expected, we observed significantly different functional behaviors between monolayer and 3D cultures when treated with Cold Plasma-Activated Ringer’s Solution (PAR). Our data reveal that the 3D environment not only protects cells from PAR-induced lethality by scavenging and diminishing the amount of reactive oxygen and nitrogen species generated by CAP, but also favours the stemness phenotype of osteosarcoma cells. This is the first study that demonstrates the negative effect of PAR on cancer stem-like cell subpopulations in a 3D biomimetic model of cancer. These findings will allow to suitably re-focus research on plasma-based therapies in future

This dataset is related to the protocol developed by the authors on the evaluation of the effects of cold atmospheric plasma and plasma-treated liquids in cancer cell cultures. More specifically, the data correspond to the anticipated results presented in the paper submitted to Nature Protocols, The present dataset corresponds to the anticipated results that can be obtained following the protocol described in the article. In particular, dataset corresponding to Figure 8 presents the absorbance values from the WST-1 cytotoxicity assay as a function of the well size where the experiment is performed. Data from Figure 9b show absorbance values from the WST-1 cytotoxicity assay as a function of the treatment time. Data from figure 9c-e show the absorbance or fluorescence values obtained in the experiments to quantify RONS, together with the values from the calibration curves. Data fromfigure 10 a provide the list and values of mRNA fold induction of the genes analyzed, and data from figure 10c show the pixel intensity obtained for the phospho-kinase antibody array.