Resultados de investigación

Base de datos de la Encuesta de Empleo del Tiempo 2010 y de la Encuesta de Estructura Salarial, En formato Stata. Database of Time Use Survey 2010 (TUS_2010) and Wages Survey (WS_2018). Stata format.

Corresponding author: Dr. Sergio Cantero Chinchilla. sergio.canterochinchilla@bristol.ac.uk // scanteroch@gmail.com Involved institutions: University of Nottingham (UK), University of the Basque Country (ES), Technological Institute of Aragón (ES), University of Granada (ES)., Ultrasonic guided-wave test data taken from a fatigue test experiment over a notched aluminium plate. Data summary.- Ultrasonic guided-wave test data: Frequency of excitation: 300 kHz (radial mode of vibration) Shape: sinusoid of 4 cycles Amplitude: 45 Vpp Sampling frequency: 60 kHz Fatigue test data.- Load type: Tension-Tension (using Instron 8850 servo-hydraulic fatigue testing machine) Minimum load: 1kN Maximum load: 10kN Frequency: 6Hz Number of cycles: 100 000 Specimen information.- Aluminum plate Alloy: QQA250/5 ‘O’ 2024 Dimensions: 245mm x 500mm x 1mm Central notch length: 22.5mm (centered with respect to the test sample centerline and machined using a laser cutting procedure) Further description.- The fatigue test has been performed using a middle tension [M(T)] specimen with a centered crack and loaded in tension using a positive loading ratio. A fatigue pre-cracking procedure was applied to develop a fresh and straight crack front to mitigate the effect of the machined started notch. The detection and monitoring of the crack onset and growth was carried out using two phased-arrays of six piezoelectric wafer active sensors (PWAS), one set as transmitter, the other as receiver. Piezoelectric ceramic disc transducers of 7mm diameter and 0.5mm thickness have been used in this fatigue test. They PWAS were placed symmetrically with regards to the sample centerline and bonded to the aluminum surface using a 3M Scotch-Weld DP490 epoxy adhesive (TradeMarks). File naming convention: “P_AL_S01_BF6.mat” or “P_AL_S01_BF6_XXX.mat” with XXX=1000, 2000, 3000, 100 000; P stands for Plate; AL stands for Aluminum; S01 stands for specimen 01; BF6 stands for Beamforming using 6 transducers; XXX are the number of cycles at which the fatigue test stopped and the ultrasonic guided-wave tests were performed (every 1000 fatigue cycle). Note 1: The file “P_AL_S01_BF6.mat” contains the data with the structure in pristine state. Note 2: The files “P_AL_S01_BF6_XXX.mat” contains the data after XXX fatigue cycles. Further details about the internal data structure of the MAT-files included within the Readme file within the dataset.

Dataset of the paper "On the need of a unified methodology for processing Schumann resonance measurements" published in JGR Atmospheres.

This work was supported by grant CTQ2017–85658-R funded by MCIN/AEI/10.13039/501100011033/ FEDER “Una manera de hacer Europa” and grants PID2019–104366RB-C22 and PID2020–114256RBI00 funded by MCIN/AEI/10.13039/501100011033

Database used for the research entitled Computational Thinking and Programming with Arduino in Education: A Systematic Review for Secondary Education. The development of programming skills and computational thinking in the formal educational context is one of the most recent horizons set by many educational systems worldwide. Although the first computational thinking initiatives are being applied from the earliest school ages, this research focuses on the secondary education level. Specifically, the objective is the following: to analyse the implementation of Arduino, as well as the benefits and opportunities it brings to secondary school students. For this purpose, documentary research has been undertaken applying a systematic review according to the PRISMA 2020 framework following the PiCoS strategy. Atlas.ti 9 was used to analyse the information. Out of 316 papers identified, 37 were included in the research. In relation to the results, Arduino is primarily used in technology and physics subjects, although it is also used to develop interdisciplinary STEAM projects. As a rule, it is used to learn programming languages, but likewise as a resource to develop science experiments. LED lights, servomotors and breadboards are among the most commonly used resources together with the Arduino board. and Scratch was the most widely used software. The initiatives implemented have yielded both positive and negative results, for example, one drawback is that some projects are very difficult, and some achievements such as: increased motivation towards the contents addressed or also the development of some soft skills, such as problem solving., Grupo de Investigación EducaTech-XXI "Educación y Tecnología para el siglo XXI" (SEJ-666)

This work was supported by the projects MAT2010-20370 and MAT2013-43922-R (European FEDER support included, MICINN, Spain), PI10/02295 (Instituto de Salud Carlos III, Fondo de Investigacion Sanitaria, FEDER funds) and P07-FQM2496, P10-CTS-6270 and P07-FQM3099 (Junta de Andalucia, Spain)., The aim of this data article is to provide data for a basic knowledge of the properties of lipid nanocapsules, a new colloidal system with very promising applications in drug delivery. Firstly, we pay attention on how it is possible to determine their surface composition by means of electrokinetics measurements. On the other hand, we provide experimental evidences for a better understanding of the factors that determine the interactions of these nanoparticles with cells as a necessary step to guide the design of the most effective formulations. Additionally, we supply information about encapsulation efficiency of docetaxel, a potent chemotherapy drug, inside nanocapsules supporting the experimental cytotoxicity results of these nanosystems., European Union (EU) MAT2010-20370 MAT2013-43922-R, Instituto de Salud Carlos III, Fondo de Investigacion Sanitaria, FEDER funds PI10/02295, Junta de Andalucia P07-FQM2496 P10-CTS-6270 P07-FQM3099, Spanish Government

Supplementary Tables 3-6, 8-10: Table S3. Trinotate annotation report for Dactylicapnos torulosa. Annotation through blastx and blastp for predict transcript against Swissprot database. Table S4. Trinotate annotation report for Fumaria bracteosa. Annotation through blastx and blastp for predict transcript against Swissprot database. Table S5. Trinotate annotation report for Roemeria refracta. Annotation through blastx and blastp for predict transcript against Swissprot database. Table S6. Eschscholzia californica annotation through blastx against Swissprot database for transcripome transcript aligned to reference. Qseqid, query or source (e.g., gene) sequence id; seqid, subject or target (e.g., reference genome) sequence id; pident, percentage of identical matches; length, alignment length (sequence overlap); mismatch, number of mismatches; gapopen, number of gap openings; qstart, start of alignment in query; qend, end of alignment in query; sstart, start of alignment in subject; send, end of alignment in subject; evalue, expect value; bitscore, bit score. Table S8. Transcripts annotated as transcription factor through PlantTFDB. Table S9. Genes differentially expressed between colpate and porate species. Annotation through BLASTX searching against the SwissProt Database. Table S10. Functional classification of differentially expressed genes (DEGs) between colpate and porate species using Blast2GO software. Sheet 1, Blast2GO output file with annotations and functional classification for each DEG. Sheet2, summary of the number of DEGs for each functional annotation within the three different functional categories, note that each DEG can have several annotation possibilities.

We present the data of a study of the Schumann Resonance (SR) regular variations (March 2013 – February 2017) using the ground-based magnetometers from the Sierra Nevada station, Spain (37◦02’N, 3◦19’W). The study is based on the fitting parameters obtained by the Lorentzian fit, calculated for each 10-min interval record, namely, peak amplitudes, central frequencies, width of the resonances and the power spectrum integral for the first 3 SR modes. We consider three time-scales in the study: seasonal, monthly and daily variations. The processed data collected by the Sierra Nevada station are also made public with this work.