BUSCADOR RECOLECTA

A set of 253 pine nut samples from different geographical regions was obtained from 2020 to 2023 in the frame of the Tracenuts project (PID2020-117701RB-I00). Pine nut samples were analysed under HS-SPME conditions adapted from Vichi et al. (Journal of Chromatography A, 2006, 1125: 117-123. doi.org/10.1016/j.chroma.2006.05.029) using a Combi-pal autosampler (CTC Analytics, Zwingen, Switzerland). An aliquot of approximately 1 g of whole pine nuts was weighed into a 10 mL vial fitted with a PTFE/silicone septum. The sample was conditioned at 70 °C for 10 min, followed by exposing a divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/PDMS) fiber (2 cm length, 50/30 μm film thickness) from Supelco (Bellefonte, Pennsylvania, USA) to the sample headspace for 60 min, at the same temperature. Then, the fiber was desorbed at 260 ˚C for 10 min in the gas chromatograph injection port, the injector was maintained in split-less mode for the first 5 min. The mono- and sesquiterpene fingerprint was acquired by an Agilent 6890N Network GC system coupled to a quadrupolar mass selective analyser Agilent 5975C Inert MSD (Agilent Technologies, Santa Clara, California, USA). Helium was the carrier gas, at a flow of 1.5 mL/min. Analytes were separated on a Supelcowax-10 capillary column (60 m × 0.25 mm i.d., 0.25 μm film thickness) (Supelco, Bellefonte, Pennsylvania, USA). Column temperature was held at 40 °C for 3 min, increased to 100 °C at 4 °C/min, then, to 200 °C at 5 °C/min and to 260 °C at 15 °C/min, holding the last temperature for 5 min. The temperatures of the ion source and the transfer line were 230 and 280°C, respectively. Mass spectra were recorded at 2.3 scan/s and the electron energy was 70 eV. Data acquisition was performed in the selected ion monitoring (SIM) mode, by registering the Extracted Ion Chromatogram (EIC) of 7 ions which have been reported to be characteristic of the mono and sesquiterpene compounds: m/z 93, 95, 119, 159, 161, 189 and 204.

This database is a json file containing multiple toxic dispersion accidental scenarios. The scenarios were generated using PHAST commercial software for consequence analysis. The accidental scenario under examination is the release of toxic chemical from a horizontal cylindrical storage tank. The different scenarios were built on varying atmospheric, equipment and storage conditions parameters in nine pure, toxic chemicals. Two loss of containment scenarios were taken into account, namely, release from a hole and catastrophic rupture. The output registered for each scenario is the Safety Distance (max distance from the release source) using a toxicity threshold of LC1 (Lethal Concentration 1% in ppm) in exposure time of 10 min. The database is structured as a list of dictionaries, each dictionary corresponding to a single scenario. The total number of scenarios is 224,296.

This dataset provides comprehensive information on all laws passed by Spain's autonomous parliaments from 1980 to 2021, specifying whether each law was challenged by the Spanish Government in the Constitutional Court. Additionally, it includes data on the type of government at both the regional and central levels at the time of each constitutional challenge, as well as the governing party names at these levels. The dataset further incorporates variables capturing partisan preferences along the left-right and center-periphery axes, as defined by the Party Manifesto Project and the Regional Manifesto Project.

Raw data from a series of experiments aimed for isolation of thermophilic biosurfactant producing microorganisms. Compost samples collected from food waste composting facility in a primary school in Barcelona and textile industry sample from Faisalabad Pakistan were used for isolation of 43 isolates were screened through biosurfactant qualitative screening, but 18 isolates dominated with promising results which were further shortlisted under solid-state culture to select the five significant performers belonging to Bacillus sp., Aspergillus sp., and Streptomyces sp.

This dataset captures detailed information from the Pangea circuit of eReuse, launched in 2016 to manage discarded ICT devices from the Barcelona City Council and various public and private institutions. It comprises a sample of 1,616 ICT devices, each assigned a condition score and traced using eReuse software based on the digital passport concept. These devices were donated by 41 entities (36 private and 5 public), refurbished by three reuse centres, and subsequently distributed to 101 intermediary organisations.

This dataset features a collection of R scripts designed to leverage the Affinity Propagation machine-learning algorithm for clustering similar window photographs. These scripts employ an unsupervised clustering analysis, culminating in the manual tagging of clusters. Following this, the scripts process the tags and clusters to generate tabulated data in .csv format. Additionally, the code includes tools for reapplying EXIF metadata to images and organizing them efficiently. The dataset also provides a sample output, derived from processing the scripts with data from the study “Image dataset: Year-long hourly facade photos of a university building” (https://doi.org/10.1016/j.dib.2024.110798).

These files contains the raw data corresponding to the different experiments aimed at exploring the short and long-lasting impact of glucocorticoids treatment given during the post-peripubertal stress period. This study utilized a rat model of peripubertal stress-induced psychopathology and animals were subjected to a battery of tests to assess anxiety-like behaviors, exploratory behavior and reactivity to novelty at late adolescence and sociability, anhedonia and stress coping behaviors at adulthood.

This data set will include data from the testing of the PLUS project “Charter of Digital Worker Rights” presented in the deliverable“D5.1 Charter of Digital Worker Rights”. The Charter was tested by the involved cooperatives (Katuma, Smart and FairBnb). The testing was organized by a survey, co-creation and unstructured sessions. The dataset includes the aggregated data from questionnaires answered by stakeholders participating in the testing sessions with Katuma, Smart and FairbnB. The dataset is presented in two files: 1) 01_Surveys_script.txt which includes the questionnaire and, 2) 02_Surveys_Results.ods which contains the results of the surveys. This dataset has been the base for the testing of “Charter on Digital Worker Rights” performed in the frame of PLUS project (supported by European Union Horizon 2020 Programme under the grant agreement number 822638) through a survey, unstructured and co-creation sessions with the three project pilots: Katuma, Smart and Fairbnb.

This dataset compiles the code for the research article "Robust transcriptional indicators of plant immune cell death revealed by spatio-temporal transcriptome analyses", currently pubished as a preprint in BioRxiv (DOI:10.1101/2021.10.06.463031). Both the raw and processed transcriptomic data experimentally generated and analysed here in order to identify transcriptional indicators of plant immune cell death are available at GEO (currently under embargo). In addition, supplementary data published with the article, some of which was generated using this code, is available (currently under embargo until manuscript publication) in a linked dataset (https://doi.org/10.34810/data136).

Plain text files with magnetometer data (ASCII format) to monitor Geomagnetically Induced Currents (GIC) flowing in power transmission lines. Data from the magnetometer under transmission line contains GIC magnetic signal + environment magnetic field; data from reference magnetometer (hundreds of meters from the transmission line) contains only environment magnetic field. Subtraction allows isolating GIC signal.