Resultados de investigación

Material complementario con datos brutos utilizados en artículo aceptado para su publicación en la Revista Española de Documentación Científica. Se incluye la taxonomía de consultas realizada, las combinaciones de palabras clave y consultas efectuadas, los resultados de posicionamiento de universidades públicas valencianas en Google (top 20) así como la clasificación temática del primer sitio web posicionado de cada universidad para cada consulta.

This dataset comprises targeted next-generation sequencing (NGS) data generated from matched primary tumour tissue and patient-derived tumour organoids (PDTOs) established from patients with non-small cell lung cancer (NSCLC).

[EN] The Analysis System of Time in Applications (SATime) has been designed and validated. This dataset includes the results of the analysis of four social media applications (Facebook, Instagram, TikTok, and Twitter) using this tool. During the pilot test, three analysts applied the system to four social media applications (Facebook, Instagram, TikTok, and Twitter) using two different scoring systems (0-1, 0-3). Documents included in this dataset: (1) results obtained by three analysts and the final score calculated by the authors of the article, (2) data sheet used as a method for analysis, (3) details and guidance on the parameters analyzed.

This study reports the bio-mediated synthesis of tungsten trioxide nanostructures from aqueous extracts of Melia azedarach (L.) dry leaves. The synthesis was carried out by electrochemical anodization of tungsten foils in the presence of different volume percentages of leaves extracts. These nanostructures were afterwards characterized by X-Ray Diffraction (XRD), impedance measurements and linear sweep voltammetry in the presence of simulated solar light. Finally, these nanoelectrodes were used as (photo)electrocatalysts in the photoelectrochemical water splitting process to obtain green hydrogen and as anodes in Li-ion rechargeable batteries. Description of methods used for collection/generation of data: - Synthesis of WO3 nanostructures: The leaves of M. azedarach were randomly sampled from several mature trees from the surroundings of the Burjassot Campus of the University of Valencia (Spain). Fresh leaves were rinsed with tap and distilled water and subsequently air-dried indoors for 1 week, at room temperature. The extracts were obtained from dried leaves, by mixing 15 g of material with 150 mL of distilled water at 60 ºC. The infusion was maintained at that temperature for 20 min. After that, the solution, once cooled, was filtered through filter paper and used to prepare the different reaction media. Nanostructures of WO3 were synthesized by subjecting tungsten foils (1,3 cm2 of exposed area) to an anodization process with a cell potential of 20 V, for 4 h. A platinum foil served as the cathode within the cell. The anodization process employed an aqueous electrolyte composed of 1.5 M methanesulfonic acid (MSA) with varying proportions of M. azedarach leaves extract (from 0% to 10%, in volume), at a temperature of 50◦C. Anodization was performed under controlled hydrodynamic conditions, by means of a Rotating Disk Electrode (RDE) set a constant rotation speed of 750 rpm. Following anodization, a thermal treatment (annealing) was carried out in a tubular oven at 600◦C for 4 h in an air atmosphere to obtain crystalline WO3 nanostructures. - Morphological and structural characterization: X-Ray diffraction analyses (XRD) were performed to investigate the crystallinity of the WO3 samples. A D8AVANCE diffractometer (Bruker) equipped with a monochromatic Cu Kα1 source was used. -(Photo)electrochemical characterization: impedance measurements and photocurrent density vs potential curves: Electrochemical characterization of the WO3 nanostructures was conducted through impedance measurements, performing Electrochemical Impedance Spectroscopy (EIS) and Mott-Schottky (MS) analyses. All electrochemical tests were carried out using a three-electrode cell with the nanostructures acting as working electrodes, a silver/silver chloride (3 M KCl) electrode was the reference electrode and a platinum tip served as counterelectrode. Measurements were performed with a PalmSens4 potentiostat and 0.1 M H2SO4 was used as electrolyte. The sample area exposed to that electrolyte was 0.5 cm2. For EIS, a constant potential of 1 V was selected with an amplitude of 10 mV, scanning the frequency from 100 kHz to 10 mHz. For MS analysis, a constant frequency of 5 kHz was used, while the potential was scanned from 1 V to 0.2 V at a rate of 50 mV/s. For the photoelectrochemical characterization of the WO3 nanostructures, the same experimental set-up was used, with the addition of a solar simulator with AM 1.5 conditions (100 mW/cm2). Linear voltammetries to obtain photocurrent density – potential curves were conducted from 0.2 V to 1.05 V, by applying dark-light pulses (16 s in the dark followed by 4 s with illumination) while the potential was scanned. - Evaluation of WO3 nanostructures as Li-ion battery anodes: WO3 nanostructures were evaluated as anodes (negative electrodes) for Li-ion batteries. For that purpose, Swagelok-type cells were used, with WO3 nanostructures acting as working electrodes and a metallic lithium foil acting as both the counter and the reference electrodes. Batteries were assembled inside an Ar-filled glove box, using 1 M LiPF6 in ethylene carbonate/dimethyl carbonate/diethyl carbonate 1:1:1 (v/ v/v) as electrolyte (Sigma-Aldrich) and a Whatman glass microfiber separator. After sealing the cells, they were cycled outside the glove box at room temperature, using a Biologic BCS-815 cyclic station. Galvanostatic charge/discharge curves were recorded at different cycling rates (from C/10–1 C, and returning to C/10) within a potential window between 1 V and 3.5 V vs Li/Li+.

This dataset includes two complimentary files. The first file (journal level metrics) includes a wide range of metrics related to all journals published by MDPI (N= 352 as of July 2021. It includes journal metrics (e.g., age), bibliometric indicators (publication counts, citation counts), and link-based indicators (e.g., links received). The second file (link-data) includes all links to each MDPI journal (N= 567,900). For each link, several metrics (e.g., Link density, link type, source Trust Flow) are included.

[ES] La presente encuesta evidencia el grado de satisfacción del alumnado partícipe en una experiencia de aprendizaje colaborativo. Para ello, valora el tiempo dedicado y organización de los trabajos dentro del equipo, el fomento del debate y la tutoría entre iguales, la adecuación del trabajo al contenido de la asignatura, segregación y socialización y actuación del profesorado., A todos los participantes

The dataset contains the data that have been obtained during the synthesis and the characterization (structural, compositional, and electrochemical) of TiO2/ZnO2 hybrid nanostructures used in photoelectrochemical applications. TiO2/ZnO hybrid nanostructures were synthetized by electrochemical anodization of titanium to form TiO2 nanosponges with crystalline structure and subsequently ZnO electrodeposition. Different Zn(NO3)2 concentrations were used for electrodeposition (10–60 mM). A structural and compositional characterisation was performed using X-Ray Diffraction (XRD). Electrochemical characterisation of nanostructures was performed by Photoelectrochemical Water Splitting (PWS), stability to photocorrosion, Electrochemical Impedance Spectroscopy (EIS), and Mott-Schottky tests.

[EN] This dataset includes the scripts used to collect and analyze ResearchGate DOIs on the one hand, and the raw data collected on the other hand., Grant PID2022-142569NA-I00 funded by MCIN/AEI/10.13039/501100011033 and, by “ERDF A way of making Europe”, by the “European Union”.

This dataset includes supplementary material consisting of information on expert judgments, influence matrices, and calculations derived from the different case studies analyzed, which may help other researchers reproduce the work presented in the article.

This dataset contains the experimental data generated during the evaluation of six commercially available paints as potential indoor radon barriers. It includes the raw radon concentration measurements recorded in the source and receiver chambers during 48-hour diffusion tests performed on filter paper substrates coated with a single coat of each paint, the main specifications of the experimental set-up used to perform the measurements, and the thickness measurements of the coated samples. The experimental data were used to determine the radon concentration reduction and the radon diffusion coefficient following a modified version of the ISO/TS 11665-13:2017 standard, as reported in the associated conference contribution. The experimental data were generated using a two-chamber radon diffusion test following a modified version of ISO/TS 11665-13:2017. The experimental set-up consisted of two sealed AISI 316L stainless steel chambers separated by the test sample. A sealed pitchblende stone (1.469 kBq) was placed inside the source chamber, while the receiver chamber collected the radon that permeated through the sample. Radon concentration in both chambers was continuously monitored using two Durridge RAD7 detectors connected in closed-loop circuits. Temperature and relative humidity were monitored throughout the experiments. Six commercially available water-based decorative paints were evaluated by applying a single coat of each paint onto a filter paper substrate. Two independent diffusion tests were performed for each paint. Each test lasted 48 hours, during which radon concentrations in the source and receiver chambers were recorded at 30-minute intervals. These raw experimental data were subsequently used to determine the radon concentration reduction and the radon diffusion coefficient following the procedure described in ISO/TS 11665-13:2017. The dataset also includes the main specifications of the experimental set-up, such as chamber characteristics, radon source activity and test area. The thickness of each coated sample was determined from eight measurements taken at different locations , from which the mean thickness and the standard deviation were calculated. The radon concentration data recorded by the RAD7 detectors at 30-minute intervals were exported. For each experiment, the dataset includes the test date and the radon concentration values measured in the source and receiver chambers throughout the 48-hour test. No additional processing, filtering or normalization was applied to the concentration data before their inclusion in the dataset. The experimental set-up specifications were compiled from the laboratory protocol used during the diffusion tests. For the thickness data, the reported mean thickness and standard deviation were calculated from eight thickness measurements taken at different locations on each coated sample.