BUSCADOR RECOLECTA

A long-term dataset (ca. 60 years; 1960-2016) of reproduction, ring-width and stable isotopes (C and O) of five productive stands of Pinus pinea from the Spanish central Plateau (Valladolid province, Spain). Climate records are also included (Valladolid station, Spain) for modelling stand responses to climate.

The data in this dataset encapsulate networks of relationships between intellectuals, organisations, and events in Ibero-American film field; taking as a starting point three women (the Argentinean intellectual Victoria Ocampo, the Spanish journalist María Luz Morales, and the Mexican photographer Lola Álvarez Bravo), and the relationships between Ibero-American film clubs. We expanded their range of activities and relations via the “follow the actor” tenet of Actor Network theory. The archive contains the data necessary to reproduce the visualisations presented in chapters 3.1, 3.2 and 3.3 of the thesis “Networks of Women in the first Ibero-American film clubs from 1909 to 1959”, and available online in their interactive version at [https://global-ls.github.io/filmculture-socnet/]. The visualisation has been created using the open graph visualisation software Gephi 0.10.1, (https://gephi.org/) but can be obtained with any other network visualisation tool. These data contain the relationship between people, organisations, and events appearing in the networks of Lola Álvarez Bravo (LAB), María Luz Morales (MLM), Victoria Ocampo (VO), and of Ibero American film clubs (IAFC) . Each network is stored as a pair of CSV files containing, respectively, information about the nodes and the list of edges.

The following dataset corresponds to the bibliographic data analysed in the publication titled 'Wikipedia Gender Gap: A Scoping Review'. The data is used for a scoping review assessing results on the content gap, editing and participation bias, readership imbalances, and strategies to mitigate the gender gap. Furthermore, it explores the repercussions of this gap and categorizes the contributing factors as “the women’s problem,” “the mirror effect,” and “the systemic problem.” Overall, this comprehensive review enhances our comprehension of the Wikipedia gender gap and provides valuable insights into the research landscape in this domain. The results of the review are available in the related publication.

The dataset refers to the study of the pottery production at the site of Roca Vecchia (Melendugno-Lecce, IT) as part of the Roca Archaeological Survey project (RAS) of the University of Bologna (Italy). Roca (or Rocavecchia or Roca Vecchia) was one of the most important sites for the Bronze Age of the Central Mediterranean, which shows a complex history of building and destruction phases and the interactions of different cultural groups. 68 ceramic individuals were sampled spanning from the Middle to the Final Bronze Age phases of the site aiming at exploring how changes in the settlement are matched in technological choices made by the people responsible for the production of impasto (local) pottery at Roca

The dataset includes a 3D Points Cloud of the crest of Añisclo Anticline (Huesca, Spain). The 3D Point Cloud was collected with a Terrestrial Laser Scanner along 220 m strecht of the SC-22107-02 road. It is located 6.2 km from the town of Escalona. The format is ASCII (X, Y, Z and Intensity) with an offset of -200000 in the X coordinates and -470000 in the Y coordinates for a UTM WGS84 georeferencing. This was used to geometrically characterize the fracturing of the outcrop.

This dataset contains a set of 63 interdisciplinary indicators for the assessment of green roofs. It combines physical, biological and social aspects to quantify the performance of these nature-based solutions. For each indicator, we provide the method to measure it and the formula to calculate it. An ID is also provided that is consistent with the four database applications provided in other standalone repositories.

The present dataset contains (meta) information extracted from the materials preserved in the archival funds of the International Institute of Intellectual Cooperation (IIIC), which was recently digitized [available at https://atom.archives.unesco.org/iiic ]. More precisely, the dataset focuses on subseries A and F from the Series Correspondence. Using machine learning and natural language processing (NLP) techniques, we have parsed scanned documents and extracted from them meta-information like: people and location mentions, language (e.g., French), nature of material (e.g., letter vs. attached document), formal aspects (e.g., handwritten vs. typewritten), and -- if possible -- its year of publication. Moreover, we have associated these entities (e.g., a given person) and information to the specific document(s) where they appear. We have divided the dataset in three files: one focused on people and two on locations (one for countries and another for cities). This dataset has been generated within the ERC-StG project named "Social Networks of the Past: Mapping Hispanic and Lusophone Literary Modernity, 1898-1959".

The file contains all the formalisations that have been proposed in order to be able to carry out the checks of the doctoral thesis. The file is a script ordered by universal and where other more precise or alternative linguistic formalisations related to the analysed universal are also shown. The application of this script on the first 1000 treebanks of all the Universal Dependencies corpora (2.11) is what guides the results of the thesis.

This dataset refers to PERCEIVE tasks 2.4 and 2.5. These tasks analyze the data sets developed by PERCEIVE task 2.1 in order to identify, quantify and synthetize the most important variables to asses identification with EU by citizens. The results feed an update of the data set developed in task 2.1. Finally, these data is be used to model convergence of EU citizens' identification in the case study regions.
Data consists of the quantitative statistical information used to produce all the results of WP2 and the indicators regarding the variables of interest obtained by means of different statistical techniques. Moreover, data on absorption of EU funds, provided by the EC and other research centres and collected in task 2.5, is be gathered in this data set, together with the results of convergence analysis.
This data set is be used to evaluate the EU citizens’ perception of the EU project in relation to regional performance of the cohesion policy and institutional quality.
WP2 uses primary data from the survey developed in WP1 (“PERCEIVE: WP1: Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries: Task1.3: Survey at citizen level” data set) and also comparative case studies on EU countries and regions, coming also from WP1 (”PERCEIVE: WP1: Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries: Task1.1: The framework for the comparative analysis” and ”PERCEIVE: WP1: Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries: Task1.2: Focus group with Cohesion Policy practitioners” data sets). The data set incorporates data from existing sources including Eurostat and information resulting from the Survey conducted at WP1 of the PERCEIVE’s project. As regards secondary data, no additional treatment is needed. Info about the sources of such data, including references to technical details, is provided in the dataset's codebook.

Raw data from a study about understanding university students’ motives for physical activity (PA), and their relationships with Psychological Need Satisfaction (PNS) and characteristics of practice regularity (frequency, duration, team, competitive, coach, league, federation, and type of day of the week for PA).