BUSCADOR RECOLECTA

The database was generated within the “FEMIber” project, which uses digital humanities methods to study Spanish and Portuguese medieval historiography from a gender perspective. The research has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 101064789. The database which contains two files (tables named People and Cases) provides structured information on every woman mentioned in the anonymous Crónica de Castilla (ca. 1300, Castile-León). It is a research and educational tool aimed at anyone interested in the topic.

The dataset presents content curation practices in top-ranked scientific journals (Q1) within the Communication (COM) and Library and Information Science (LIS) categories, as classified by Scimago Journal Rank. It focuses on how these journals manage and publish content on social media, analyzing indicators such as total and curated publications, topics covered, techniques employed, and types of integration used in their curation strategies. The study aims to identify patterns, methods, and differences between the two categories, providing a comprehensive overview of academic content curation practices. The data was collected from March to April 2024.

Data of toxicological effects of 6PPDQuinone on the freshwater snail Radix balthica obtained in a 10-day experiment under two different temperature conditions. The endpoints incluede mortality, reproduction, development follow-up, carbon and nitrogen of the soft tissues, behaviour (velocity), and growth.

This dataset contains the information of an article devoted to analyse territorial resilience of bullfight in Spain after COVID-19.

The data includes information of the response and drivers of resilience of Spanish provinces

This repository allows the reproduction of the analyses carried out in the article "Transition to adulthood and the intergenerational transmission of disadvantages among young adults in Spain". The repository contains two folders: one with the code and the other with the output data. The output data includes the processed data sets. These data sets can be useful for other researchers willing to analyse this same data for the same or other purposes. Original raw data is not provided here as we are not allowed to re-publish it. However, original data is publicly available here: - 2018 Spanish Fertility Survey (Encuesta de Fecundidad): https://www.ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736177006&menu=resultados&idp=1254735573002#_tabs-1254736195425 - 1996-2021 Birth Records (Registros de Nacimiento): https://www.ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736177007&menu=resultados&idp=1254735573002#_tabs-1254736195443 Users can run the code following the especified order of the scripts. The data sets generated by the scripts follow the same numeration of the code. However, given the considerable amount of time and computational requirements for running the scripts, we recommend using the output data sets directly instead of rerunning the code that generates them.

The dataset contains experimental measurements (photon counts) of a polarization-based quantum channel equipped with different configurations. This dataset has been generated within the framework of the project "Experimental Assesment of Fast Quantum Key Distribution", a project funded by the NGIatlantic.eu 3rd Open Call, which aims at deploying the EU-US Experimental Quantum Communication Laboratory (EQC Lab) with participation of Universitat Politecnica de Catalunya (UPC, as EU partner) and University of California Davis (UCDavis, as US partner).

This dataset contains the research data used for the article "Agriculture Data Sharing Review". The file includes the queries used to obtain information from Web of Science and Scopus, scripts to process the files downloaded from both databases, and the set of references found extracted on 1/1/2023 and 1/11/2023., Aquest dataset conté les dades d'investigació utilitzades per a l'article "Agriculture Data Sharing Review". El fitxer inclou les consultes utilitzades per obtenir informació de Web of Science i Scopus, scripts per processar els fitxers descarregats de totes dues bases de dades i el conjunt de referències trobades a data d'1/1/2023 i 1/11/2023., Este dataset contiene las datos de investigación utilizados para el artículo "Agriculture Data Sharing Review". El archivo incluye las consultas utilizadas para obtener información de Web of Science y Scopus, scripts para procesar los ficheros descargados de ambas bases de datos y el conjunto de referencias encontradas a fecha de 1/1/2023 y 1/11/2023.

The dataset consists of time-resolved photoluminescence traces that report to the exciton diffusion properties of two different samples: organic photovoltaic material Y6 and single layer membrane of the Light Harvesting 2 (LH2) molecule from purple bacteria. The diffusion properties are recovered by combining TCSPC measurements together high frequency structured illumination and a demodulation scheme that allows to track the temporal dynamics the exciton population at the spatial frequency of the excitation. We included both raw data and MATLAB scripts process the file in order to obtain the mean square displacement data from where the diffusion properties are obtained. The provided dataset was generated using the StrEET microscopy technique, as described in the publication (https://doi.org/10.1021/acsphotonics.4c00004). Briefly, a high frequency, sine-like, structured illumination (2 ps pulses at 800 nm wavelength) is used to excite the sample in a 42-micron region of interest. The collected photoluminescence is demodulated using a transmission mask of the same period which is mounted in a piezo-electric actuator. Then, the resulting light is detected on a fast SPAD detector for time single photon counting (TCSPC). The setup instrumentation was developed using LABVIEW 2021 and the raw TCSPC histograms are saved in TDMS file format (https://www.ni.com/en/support/documentation/supplemental/06/the-ni-tdms-file-format.html?srsltid=AfmBOoocwwjWt6GMyPIH7ii7g6E6uSVEPIqYPfOSAWwue-wsB9ep6DtO) The raw data was processed using several MATLAB scripts, specifically created for that purpose. The mathematical description of the data processing (i.e. obtaining the energy transport information from the TCSPC traces) is described in the main article (https://doi.org/10.1021/acsphotonics.4c00004). Matlab 2015a or later. The functions folder (and subfolders) should be added to Matlab path. Public libraries to open TDMS files with matlab are included. TCSPC was generated using a standard Picoharp 300 system (PicoQuant)

The data are the processed 2dData acquired and fixed that has to be analysed through the program find in here https://github.com/MUOSColliniLab/fitko