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Replication Data for: Exposure to residential air pollution and the development of functional connectivity of brain networks throughout adolescence
A few studies linked air pollution to differences in functional connectivity of resting-state brain networks in children, but how air pollution exposure affects the development of brain networks remains poorly understood. Therefore, we studied the association of air pollution exposure from birth to 3 years and one year before the first imaging assessment with the development of functional connectivity across adolescence.We utilized data from 3,626 children of the Generation R Study (The Netherlands). We estimated residential exposure to PM10, PM2.5, PM2.5 absorbance, NOX, and NO2 with land-use regression models. Between- and within-network functional connectivity was calculated for 13 cortical networks, and the amygdala, hippocampus, and caudate nucleus at two assessments (8.6–12.0 and 12.6–17.1 years), resulting in 4,628 scans (2,511 for assessment 1 and 2,117 for assessment 2) from 3,626 individuals. We investigated the association between air pollution and functional connectivity with linear mixed models adjusted for life-style and socioeconomic variables, and corrected for multiple testing.Higher exposure to PM2.5 from birth to 3 years was associated with persistently lower functional connectivity over time between the amygdala and the ventral attention, somatomotor hand, and auditory networks throughout adolescence (e.g. −0.027 functional connectivity [95 % CI −0.040; −0.013] amygdala – ventral attention network per 5 μg/m3 higher PM2.5). Higher exposure to PM10 one year before the first imaging assessment was associated with persistently lower functional connectivity between the salience and medial-parietal networks throughout adolescence. Air pollution was not associated with a faster or slower change in functional connectivity with age.Air pollution exposure early in life was associated with persistent alterations in connectivity between the amygdala and cortical networks involved in attention, somatomotor, and auditory function. Concurrent exposure was associated with persistent connectivity alterations between networks related to higher cognitive functions (i.e. the salience and medial-parietal networks)
Replication data for: Acute effects of FIFA 11+ warm-up on skin temperature in male and female amateur soccer players
This dataset contains the thermographic and asymmetry data collected from 120 amateur soccer players (60 males and 60 females) before and after performing the FIFA 11+ warm-up protocol. Skin temperature (Tsk) was measured in multiple regions of interest (ROIs) on the anterior and posterior lower limbs using a FLIR T540-EST infrared camera following the standardized ThermoINEF protocol. The Excel file includes sheets for mean, maximum, minimum, standard deviation, and asymmetry values (absolute and neutralized). All participant identifiers have been anonymized.
These data were used in the study “Acute effects of FIFA 11+ warm-up on skin temperature in male and female amateur soccer players”
Replication data for: Acute Effects of the FIFA 11+ warm-up on center of pressure dynamics in male and female recreational soccer players
Conjunt de dades posturogràfiques del centre de pressions (CoP) registrades en 24 homes i 21 dones abans i després de l’escalfament FIFA 11+. Inclou variables de longitud de camí, velocitat, desplaçament anteroposterior (AP) i mediolateral (ML), i components de freqüència FFT (0–0.5 Hz, 0.5–2 Hz, > 2 Hz).
Dataset of center-of-pressure (CoP) measures from 24 male and 21 female before and after the FIFA 11+ warm-up. Variables include path length, velocity, AP/ML displacement, and FFT frequency components (0–0.5, 0.5–2, > 2 Hz)
Replication Data for "Follow the Leader: The Double-Edged Cascading Effect of Board Gender Diversity Practices in Hierarchical Business Groups"
The dataset contains the variables used for the article, "Follow the Leader: The Double-Edged Cascading Effect of Board Gender Diversity Practices in Hierarchical Business Groups," which is published in Journal of Business Ethics
Replication data for: Squaring the circle of the circular economy. The need to properly account for scarcity to guide mineral resource management
The dataset shows the values of the variables needed to calculate the Exergy Replacement Costs, the Embodied Exergies and the Thermodynamic Rarity. The values of these exergy costs are in GJ/t. Detailed information on the description of these costs and how they have been calculated can be found in the following bibliographic reference: Valero, A., Valero, A., 2015. Thanatia. The destiny of the Earth’s mineral resources. A thermodynamic cradle-to-cradle assessment. World Scientific Publishing Co. Pte. Ltd, Hackensack, NJ, USA and London, UK
Citizen science dataset on residents’ urban heat perception in outdoor public spaces of climate-vulnerable neighborhoods
This dataset was generated to investigate urban heat and thermal perception across five neighborhoods in the Barcelona metropolitan area. In collaboration with 14 non-academic partner organizations, we conducted a series of citizen science campaigns involving 439 residents as co-researchers engaged throughout all stages of the research process. Participants—residents of areas classified as highly or very highly climate-vulnerable—identified 210 public outdoor sites relevant to their daily lives. These locations were subsequently characterized using a range of spatial and environmental indicators pertinent to urban heat island effects, urban health, and climate resilience. Over the course of 48 thermal walks, participants carried portable, low-cost sensors that continuously recorded air temperature, relative humidity, and geolocation, resulting in 296286 processed microclimatic data points. At pre-defined sites, individuals completed standardized surveys to report their Thermal Sensation Votes and Thermal Comfort Votes, yielding 5169 self-reported entries. Sociodemographic data were also collected to further contextualize participants’ responses. The resulting dataset integrates objective environmental measurements with subjective perceptions of heat, enabling point-by-point analysis of thermal experience within the urban fabric. It offers a novel, multi-dimensional resource to support research on heat, thermal inequality, and the experiential dimensions of climate vulnerability, and is intended to inform evidence-based decision-making in urban planning, public health, and climate adaptation
Replication Data for: A 3D Bioengineered Human Liver for the Study of Acute and Chronic Drug-Induced Hepatotoxicity and Fibrosis
A Bioengineered 3D Human Liver Model for Investigating Acute and Chronic Drug-Induced Hepatotoxicity and Fibrosis
Description of the Work
This dataset includes all raw and processed data generated during the development, validation, and experimental analysis of a 3D bioengineered human liver model designed to study acute and chronic drug-induced hepatotoxicity and fibrosis. The platform consists of co-cultured human hepatocytes (HepaRG), hepatic stellate cells (LX-2), and immune cells (THP-1 monocytes) encapsulated within a gelatin methacryloyl (GelMA) and carboxymethyl cellulose methacrylate (CMCMA) hydrogel matrix. The dataset encompasses transcriptomic profiles (RNA-seq), quantitative PCR gene expression, cell viability assays, metabolic enzyme activities, immunofluorescence images, fibrosis marker quantification, and inflammatory signaling data following pharmacological challenges with lipopolysaccharide (LPS), paracetamol, and dexamethasone.
Datasets are provided for time-course experiments representing both acute and chronic liver injury and for the evaluation of anti-inflammatory drug response. The repository also includes methodological metadata for all reagents, cell lines, antibodies, and experimental protocols in accordance with CTAT (Complete, Transparent, Accurate, Timely) standards. These resources enable full reproducibility and allow other investigators to replicate, validate, and extend the findings reported in the associated publication.
Data Types Provided
Raw and processed RNA-seq files (FASTQ, counts, and normalized expression tables)
qPCR results (gene expression tables and raw Ct values)
Cell viability and metabolic activity data from MTS and Live/Dead assays
Imaging data (fluorescent and confocal microscopy files)
Protein biomarker ELISA results (PINP, PIIINP, ammonia)
CYP3A4 activity assays
Cytokine quantification (Luminex multiplex assay)
Protocol documents for hydrogel fabrication, cell culture, drug treatment, sample processing, and data analysis
Potential Uses
Benchmarking and comparison of liver-on-chip models
Toxicology and drug safety studies
Fibrosis, inflammation, and liver disease mechanism research
Bioinformatics pathway analysis and computational modeling
Methods validation and protocol optimization
Associated Publication
This dataset supports the findings of:
Ferret-Miñana, A., Alcaraz, E., Horrillo, R., Ramón-Azcón, J., De Chiara, F., et al. “A 3D Bioengineered Human Liver for the Study of Acute and Chronic Drug-Induced Hepatotoxicity and Fibrosis,” JHEP Reports, 2025
Replication Data for: Optimised ultrasound treatments enhance hydration properties and induce structural modifications in dietary fibre concentrates derived from orange peels
This dataset contains the raw data generated for the manuscript "Optimised ultrasound treatments enhance hydration properties and induce structural modifications in dietary fibre concentrates derived from orange peels". The purpose was to evaluate and optimise the effect of ultrasound (US) treatment conditions (power, solid-liquid ratio, and time) to improve the hydration properties of dietary fibre concentrates derived from orange peel (OP-DFC). Additionally, it sought to explore the structure-function relationships underlying potential ultrasound-induced modifications