BUSCADOR RECOLECTA

This dataset contains the information on our recent body of work on the study of magneto-ionic properties in structure/composition-engineered ternary nitrides and all the relevant data files. Magneto-ionics, an emerging approach to manipulate magnetism that relies on voltage-driven ion motion, holds the promise to boost energy efficiency in information technologies such as spintronic devices or future non-von Neumann computing architectures. For this purpose, stability, reversibility, endurance, and ion motion rates need to be synergistically optimized. Among various ions, nitrogen has demonstrated superior magneto-ionic performance compared to classical species such as oxygen or lithium. Here, we show that ternary Co1−xFexN compound exhibits an unprecedented nitrogen magneto-ionic response. Partial substitution of Co by Fe in binary CoN is shown to be favorable in terms of generated magnetization, cyclability and ion motion rates. Specifically, the Co0.35Fe0.65N films exhibit an induced saturation magnetization of 1500 emu cm–3, a magneto-ionic rate of 35.5 emu cm–3 s–1 and endurance exceeding 103 cycles. These values significantly surpass those of other existing nitride and oxide systems. This improvement can be attributed to the larger saturation magnetization of Co0.35Fe0.65 compared to individual Co and Fe, the nature and size of structural defects in as-grown films of different composition, and the dissimilar formation energies of Fe and Co with N in the various developed crystallographic structures.

These data were collected through a randomized experimental trial to test the effectiveness of different message formats on debunking a misconception about rent controls. Three message formats were tested: a non-refutational text (NRT), a refutational text (RT) and a refutational video (RV). A first pre-analysis plan (PAP) was preregistered at AsPredicted Registry, Wharton Credibility Lab (University of Pennsylvania) on July 4, 2020. This PAP included the RT and NRT conditions. The PAP corresponding to the RV condition was preregistered at AsPredicted Registry on July 3, 2021. All three conditions were preregistered before running the corresponding experiment sessions. Anonymized copies of the preregistered plans are available at https://aspredicted.org/blind.php?x=uv2t69 and https://aspredicted.org/blind.php?x=4n78sy. The experiments were run on-line by the LINEEX Laboratory for Research in Behavioural Experimental Economics of the University of Valencia (Spain).

This data-set contains high resolution GPS records from a single day pedestrian mobility of 19 groups (72 participants) from three different communities of the "Primer de Maig" neighbourhood of Granollers (Spain). The experiment took place in May 2022. The participants explored the neighbourhood in groups and chose different places to stop and perform various festive actions, while recording the trajectory using the Wikiloc app. These stopping places are of great urbanistic interest for the redesign of public space in terms of livability. The data-set provides explorative pedestrian mobility in an urban microscopic level. It contains the raw data in .gpx format (an unique file for each trajectory/group). We also share processed records with specific filtering and processing (in .csv format) and also the location and the duration of the stops to perform the different actions (also in .csv format). We finally share the sociodemographic data that the participants shared before recording the trajectory (in .csv format). Citizen science practices were employed during the whole research process (co-design, crowd-sourced protocols for the experiment, collective data interpretation and policy recommendations).

Data are included to support the article entitled Local buckling of cold-formed steel trapezoidal sheets: data for finite element model validation, published by Data in Brief, Elsevier.

Data collected in the framework of the ERC project "The sound of special places: exploring rock art soundscapes and the sacred" (acronym: Artsoundscapes, Grant Agreement No. 787842, PI ICREA Research Professor Margarita Díaz-Andreu). The project focuses on the relationship between archaeoacoustics and rock art. The attached file contains the data collected in the listening test conducted online during the months of June to August 2020

Data collected in the framework of the ERC project "The sound of special places: exploring rock art soundscapes and the sacred" (acronym: Artsoundscapes, PI ICREA Research Professor Margarita Díaz-Andreu). The project focuses on the relationship between archaeoacoustics and rock art. The attached files correspond to 1) the stimuli employed in a listening test conducted in the Aalto Acoustics Lab (Aalto University, Finland) and 2) the data collected in the mentioned test. (https://cordis.europa.eu/project/id/787842)

Data collected in the framework of the ERC project "The sound of special places: exploring rock art soundscapes and the sacred" (acronym: Artsoundscapes, Grant Agreement No. 787842, PI ICREA Research Professor Margarita Díaz-Andreu). The project focuses on the relationship between archaeoacoustics and rock art. The Excel file contains the experimental results of the study.

These data correspond to the psychometric study based on the analysis of psychometric networks in the assessment of quality of life of individuals with intellectual disabilitiy, using the Spanish adaptation of the Personal Outcomes Scale. Psychometric network analyses have been conducted for evaluations made by the person with an intellectual disability, a professional, and a family member. These data refer to the estimation of the networks as well as the measured centrality indices

This dataset was created in order to document self-reported life evaluations among small-scale societies that exist on the fringes of mainstream industrialized socieities. The data were produced as part of the LICCI project, through fieldwork carried out by LICCI partners. The data include individual responses to a life satisfaction question, and household asset values. Data from Gallup World Poll and the World Values Survey are also included, as used for comparison. TABULAR DATA-SPECIFIC INFORMATION --------------------------------- 1. File name: LICCI_individual.csv Number of rows and columns: 2814,7 Variable list: Variable names: User, Site, village Description: identification of investigator and location Variable name: Well.being.general Description: numerical score for life satisfaction question Variable names: HH_Assets_US, HH_Assets_USD_capita Description: estimated value of representative assets in the household of respondent, total and per capita (accounting for number of household inhabitants) 2. File name: LICCI_bySite.csv Number of rows and columns: 19,8 Variable list: Variable names: Site, N Description: site name and number of respondents at the site Variable names: SWB_mean, SWB_SD Description: mean and standard deviation of life satisfaction score Variable names: HHAssets_USD_mean, HHAssets_USD_sd Description: Site mean and standard deviation of household asset value Variable names: PerCapAssets_USD_mean, PerCapAssets_USD_sd Description: Site mean and standard deviation of per capita asset value 3. File name: gallup_WVS_GDP_pk.csv Number of rows and columns: 146,8 Variable list: Variable name: Happiness Score, Whisker-high, Whisker-low Description: from Gallup World Poll as documented in World Happiness Report 2022. Variable name: GDP-PPP2017 Description: Gross Domestic Product per capita for year 2020 at PPP (constant 2017 international $). Accessed May 2022. Variable name: pk Description: Produced capital per capita for year 2018 (in 2018 US$) for available countries, as estimated by the World Bank (accessed February 2022). Variable names: WVS7_mean, WVS7_std Description: Results of Question 49 in the World Values Survey, Wave 7.

Datos recogidos en el marco del proyecto de la ERC "The sound of special places: exploring rock art soundscapes and the sacred" (acrónimo: Artsoundscapes) que tiene como Investigadora Principal la ICREA Research Professor Margarita Díaz-Andreu centrado en el campo de la arqueoacústica y el arte rupestre. En el artículo se analiza el potencial de los medios de comunicación social en general y de Facebook en particular para difundir y comunicar los conocimientos arqueológicos y las formas en que se puede mejorar su impacto en el público inspirándose en planes de comercialización desarrollados para el mundo de la empresa. Utilizando datos cuantitativos y cualitativos proporcionados por la herramienta de altmetría Facebook Insights, el artículo evalúa el impacto de la página Artsoundscapes y mide la eficacia del plan de comercialización, examinando los diferentes componentes de estos planes y haciendo hincapié en la estrategia de contenido que se ha seguido y que fue cuidadosamente diseñada al principio del proyecto y que ha conseguido que en tan sólo 19 meses de existencia haya desarrollado una activa comunidad en línea de 757 fans y 787 seguidores de 45 países.