DESCRIPTION:

BronchoPose dataset: a bronchoscopy navigation synthetic dataset based on real anatomies to enable fair comparison among methods. The presented database is composed by trajectories across airways extracted from Computerized Tomography (CT) scans. The anatomy of airways was extracted using a self-developed segmentation method. The trajectories of the database include the navigation path (spatial coordinates), the camera pose, and the simulated images of the virtual bronchoscopy. Virtual airways models are simulated using our own platform developed in C++ and VTK. From the virtual models, bronchoscope trajectories are simulated from the trachea entrance up until the 4 levels and cover the upper-right (ur), lower-right (br), upper-left (ul), and lower-left (bl) lobes. Trajectories are generated from the central navigation path through the luminal central line traversed using the arch-length parameter. Different increments in this parameter allow the simulation of varying velocities across the path. For each central path, different variations, both, in position and camera orientation are generated. Finally, paths with neighboring variations are randomly combined along the navigation arc-length parameter in order to simulate realistic trajectories. In total, our dataset has 876 trajectories per patient and lobe, amounting to a total of 842,712 frames.

Dataset of the Anarchist Translation Flows and World Literature Project (ARGOT) Marie Skłodowska-Curie Grant Agreement No. 101065157, 2023-2025 (Main researcher: Lucia Campanella). This dataset, consisting of various collections of structured data in diverse formats, presents the results of the ARGOT project. Below, there is a list and brief description of the four interconnected subdatasets, each representing a distinct phase in the data processing pipeline. Information on each subdataset is to be found in a Readme document included in each collection. Subdataset I contains metadata on the selected periodicals used as the primary data sources. Subdataset II consists of the digitized and transcribed content from these periodicals. Subdataset III includes all extracted text lines in which author entities have been identified using Named Entity Recognition (NER) and cross-referenced with VIAF (Virtual International Authority File) identifiers. Subdataset IV contains manually validated literary translations, with enriched metadata providing additional contextual and bibliographic information.

This dataset contains experimental data collected from controlled laboratory experiments to examine the effects of environmental stressors on biofilm microbial communities. The dataset includes measurements of both functional and structural biofilm variables. Specifically, the functional variables assessed include photosynthetic efficiency (Yeff), basal fluorescence (F0), enzyme activities (β-D-1,4-glucosidase, alkaline phosphatase, and leucine-aminopeptidase). The structural variables include chlorophyll-a concentration and algal community composition at the genus level. The data also includes microbial gene expression, with qPCR quantification of key genes, including 16S rDNA (for bacteria and archaea) and 18S rDNA (for eukaryotes, mainly algae). Additionally, bacterial communities were characterized using high-throughput sequencing of the 16S rDNA gene. Pesticide concentrations in the water samples, as well as other water quality parameters such as nutrient concentrations, were also measured to assess the environmental conditions during the experiments. The dataset was collected under various treatment conditions, including high temperature, pesticide exposure, and water level reduction, in both sequential and co-occurrence stressor combinations. The data are organized by experiment type (EXP1, EXP2), treatment conditions, and analysis type, providing a comprehensive resource for researchers studying microbial ecology, ecotoxicology, and environmental stress responses.

This dataset includes the data used in the posters presented at the 4th World Conference on Personality, XII Jornadas de la Asociación Iberoamericana para la Investigación de las Diferencias Individuales, and XIII Jornadas de la Asociación Iberoamericana para la Investigación de las Diferencias Individuales. More especifically it includes data about 150 Spanish young offenders (82.0% male) from Tarragona (Spain), with ages between 15 and 19 years old. This sample of young offenders was recruited from open intervention programs in the province of Tarragona (Catalonia, Spain). These programs are measures of criminal responsibility that are carried out in the social and family environment of the young person, so they do not involve deprivation of liberty. The data includes their ages, gender, responses to the Indirect-Direct Aggression Questionnaire (I-DAQ), and responses to the Inventory of Callous-unemotional traits and Antisocial behaviour (INCA questionnaire). (2025-05-15)

The dataset includes sound level meter readings and audio files of medieval bells, recorded on site of five medieval churches in the Valdres region in Norway:
- Slidredomen church, five bells (SL01-SL05);
- Lomen church, two bells (LO1, LO2);
- Hegge church, two bells (HEG1, HEG2);
- Reinli church, one bell (RE01);
- Hedalen church, two bells (HED01, HED02).
We used a Cesva SC202 sound level meter (https://www.cesva.com/es/productos/sonometros/sc202/?gad_source=1&gclid=Cj0KCQjw3vO3BhCqARIsAEWblcB9vq9lnKbF8Fa8OF1C4ZaXOsBXxToVBDxMb1JbUXREgGY9DjVQH-QaAtUXEALw_wcB) and a Zoom H4n recorder.
Moreover, the dataset includes post processed recordings of bell swings that we further used for the tonal analysis.
Additionally, the dataset includes a table with the readings of the first five partials for each bell based on the tonal analysis in the freely available Wavanal software (https://www.hibberts.co.uk/wavanal/).
The data were collected as part of the MSCA postdoctoral project "Aural Culture: Decoding the Sacred Soundscapes of Medieval Europe" (acronym: CULT-AURAL, Grant Agreement ID: 101064323). Zorana Dordevic conducted fieldwork in August 2024; Lidia Alvarez-Morales and Zorana Dordevic analyzed acoustic data.

Desarrollamos un formulario en línea utilizando Formularios de Google para recopilar información sobre aspectos socioeconómicos y de seguridad alimentaria en los hogares en siete países (Brasil, Colombia, Ecuador, Paraguay, Perú, Uruguay y Venezuela), abarcando un total de 18.997 hogares. Se solicitó a los participantes que proporcionaran información sobre el número de residentes, el ingreso mensual total (en moneda nacional) y el estado de la seguridad alimentaria y nutricional (SAN) utilizando la Escala de Experiencia de Inseguridad Alimentaria (FIES) (Cafiero et al., 2018) desarrollada por la FAO. El método FIES consta de ocho preguntas que contienen una escala graduada de severidad de la IF (Leve: 1-3; Moderada: 4-6; y Grave IF: 7-8). Para capturar los efectos de la pandemia, se preguntó a los encuestados sobre el nivel de IF en sus hogares durante dos períodos: A) prepandemia (noviembre-diciembre de 2019); y B) durante la pandemia (mayo-diciembre de 2020). La encuesta fue distribuida por voluntarios a través de aplicaciones de mensajería y redes sociales. Se animó a los participantes a convertirse en voluntarios y compartir el enlace de la investigación en sus redes después de completar el cuestionario, integrando así el método de reclutamiento por muestreo de bola de nieve. El muestreo se limitó a zonas con acceso a internet, ya que las normas de salud y seguridad impidieron la interacción presencial durante el período de recolección de datos. En 2020, aproximadamente el 74 % de la población de Sudamérica tenía acceso a internet (World Bank, 2021). Se empleó una técnica de muestreo estratificado para abordar el posible sesgo de selección, con una mayor densidad de muestreo en las zonas urbanas. La conectividad promedio a internet en las zonas rurales es aproximadamente la mitad que en las zonas urbanas (Ziegler et al., 2020). Por lo tanto, solo el 22 % (n = 4179) de los hogares se muestrearon en municipios con menos de 50 000 habitantes, con proximidad e influencia de las zonas rurales. La encuesta se dirigió a personas mayores de 18 años. Se eligió Google Forms por su accesibilidad gratuita y su versatilidad, además de no requerir una conexión a internet de alta velocidad. El formulario se pudo completar tanto en computadoras como en teléfonos inteligentes.

The data contains the chronic risk and hazard quotient of inhalation expressed in pg/m3 for different families of compounds in two different seasons, and considering the low and the high concentration of these families of compounds in air samples

The dataset contains the chemical composition (water content, fiber, six carbohydrates, total proteins, organic matter, and lignin) of the subcortical tissues (phellem and phloem) of 8 Quercus suber trees, 4 infected with Coraebus undatus and 4 not infected.

Concentration in ug/g of a total of 17 contaminants used in industrial applications. The concentration were determined in different organs of the fish species using ultrasound assisted method followed by gas chromatography with mass spectrometry

Data on the concentration (in ng/m3) of 56 organic pollutants of different families in air samples near to the petrochemical park in Tarragona. The data contains the minim and maximum values occurred as well as the aritmethic mean.