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Datos primarios asociados al arículo enviado a Research Papers In Education, It is generally recognized that a challenging learning environment with the necessary supports will be stimulating for the student. However, there is a lack of studies that contribute to validate comprehensive models that help teachers to know how to stimulate their students. The objective of this study was to understand the mechanisms that explain the engagement and the positive results of challenging and supportive learning environments. During two academic years, the Sustainable Urban Race (SUR) project was analyzed. In this project, students from secondary schools should design and build an electric vehicle using solar energy. In the present study, an adaptation of the self-system model of motivational development (SSMMD) and a multigroup analysis of structural equations was applied. The data showed a positive association of the challenging and support-enriched context with the students' engagement, being partially mediated by the satisfaction of the competence needs, peer relationships and group autonomy. This study provides a comprehensive approach to develop and assess learning experiences providing inputs that will help teachers and educational managers organize and optimize educational experiences, Fundación Española para la Ciencia y la Tecnología (FECYT) [FCT-19 -14492 and FCT -20-15499].

[EN] 279 .tif files: 278 color scanned prints of aerial photographs; 1 flight diagram showing the footprints of that aerial photographs. No specific software is needed to read the .tif files. [ES] 279 archivos en formato .tif : 278 corresponden a las fotografías aéreas escaneadas; 1 es el diagrama de vuelo de dichas fotografías que muestra su ubicación y las pasadas del vuelo. No se necesita ningún software específico para leer los archivos .tif. This dataset is covered by a Creative Commons Licence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)., [EN] This dataset contains the scans of the contact prints of aerial photographs of the sections 2nd and 3rd of the first part of the Canal of Monegros, i.e. Monegros I or Monegros North, located in the Huesca province, Spain. The dataset also includes the diagram of the originating flight conducted by CETFA in 1972. The scanned contact prints are those used for soil prospection in 1975., [ES] Este conjunto de datos está formado por los escaneos de los contactos en papel de fotos aéreas del segundo y tercer tramo del Canal de Monegros en su parte norte, es decir Monegros I o Monegros Norte, en la provincial de Huesca, España. Además se incluye el diagrama de este vuelo efectuado por CETFA en 1972. Los contactos escaneados se usaron para prospectar los suelos en 1975., Proyecto PCI2018-09299 financiado por MCIN/AEI/10.13039/501100011033 y cofinanciado por la Unión Europea. Grant PCI2018-09299 funded by MCIN/AEI/10.13039/501100011033 and co-funded by the European Union, Peer reviewed

Experiment performed in the lab, following details described in the publication (http://hdl.handle.net/10261/240920 / https://doi.org/10.3390/insects12050448), Grants ICVV-CSIC: Ministry of Science and Innovation (PID2019-104112RB-I00) funded by MCIN/AEI/10.13039/501100011033. Support for researchers: 1) RCH is awarded by Ramon y Cajal contract award MCIN/AEI/10.13039/501100011033 and by “ESF Investing in your future”: Grant RYC-2016-19939 from the Government of Spain 2) IVD is I.V.-D. funded by ADER I + D + i (2019) fellowship by the Rioja Agency of Economic Development (La Rioja, Spain) and by FPI-UR (2021) fellowship (Universidad de La Rioja, Spain). 4) MMGT is funded by the Program JAE-Intro CSIC call 2020 (JAEINT20_EX_0939). 5) R.B.-P. was supported by the pre-doctoral contracts CAR-2018 (Department of Economic Development and Innovation of the Government of La Rioja)., Peer reviewed

This dataset contains data from a population-representative survey examining various factors relating to digital exclusion (particularly digital mobility exclusion). The survey was conducted with 423 adult participants in the Netherlands in 2020 and 2021. This dataset is part of a series of 5 datasets which used the same questionnaire (translated into different languages) in different countries in Europe.

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.

This file includes data on system vertical and lateral stiffness of stainless steel frames under gravity and gravity plus wind load scenarios obtained from the finite element simulations carried out on six stainless steel frames.

Data was generated using the general purpose finite element software ABAQUS and performing advanced nonlinear analyses. The database is comprised of ultimate load factors corresponding to different random samples of six different nominal stainless steel frames under gravity and wind load combinations. The values of the random variable assignments are given for each case. The full details of the finite element model can be found in: Arrayago, I.; Rasmussen, K.J.R.; Zhang, H. System-based reliability analysis of stainless steel frames subjected to wind loads. "Structural Safety", July 2022, vol. 97, art. No. 102211. DOI: https://doi.org/10.1016/j.strusafe.2022.102211

Data associated with the study called "Selectively targeting tumorigenicity in osteosarcoma". Each file corresponds to the raw data of one of the figures of the paper

This file includes finite element simulation data (ultimate load factors) carried out on 60 steel and stainless steel frames, including regular and irregular frame configurations with different section sizes. Ultimate load factors corresponding to different initial imperfection combinations are included.

This dataset contains data from a population-representative survey examining various factors relating to digital exclusion (particularly digital mobility exclusion). The survey was conducted with 418 adult participants in Flanders region in Belgium in 2021. This dataset is part of a series of 5 datasets which used the same questionnaire (translated into different languages) in different countries in Europe.