Resultados de investigación

Experimental program on replicas of archaeological combustion structures of the Iron Age, conducted within the TRANSCOMB Project in the Iberian Citadel of Calafell (Tarragona, Spain), to compare the fire behaviour with different locations, fuels, weather and temperature conditions, and evaluate how these affected other variables.

The experimentation was carried out in three different periods between the years 2021 and 2022, performed a total of 35 combustions and data includes information about the fuel-type and weight before and after the combustions, duration of combustions, and temperatures, among others.

A combination of methodologies has been applied for integrated analyses: anthracology, phytoliths and calcitic microfossils, Fourier Transform Infrared Spectrometry, micromorphology and chemical analysis of hearth surfaces.

This dataset contains data and R script for statistical analysis and graphics presented in the publication related to this data set (Amat et al 2023. XXXXX). The data cointained in this dataset correspond to the oviposition behaiviour of Lobesia botrana, Grapholita molesta and Cydia pomonella to five gustatori stimuli (Fructose, Sucrose, NaCl, KCl and Neem oil).

Geomagnetic observatory vector (X, Y, Z) and scalar (F) definitive data (quasi-definitive data are available until the definitive data are ready) recorded by the Ebre Observatory institute. Units: nanoteslas (nT). Recording location: Horta de Sant Joan. Instrumentation: Variometers: LEMI-025 suspended 3-axis fluxgate magnetometer sampled at 1 s rate (filtered). Scalar magnetometers: GEM Systems GSM-90 sampled at 10 s rate. Absolute instrument: D/I-fluxgate magnetometer type TDJ6E-NM/FLM-4. Data are available in different interval types: 1-sec data; 1-min, 1-hour, 1-day and 1-month means.

Data collected in the framework of the ERC Artsoundscapes project. (The sound of special places: exploring rock art soundscapes and the sacred, ref. 787842 ). The project focuses on the relationship between archaeoacoustics and rock art. The dataset includes audio files that are the impulse responses gathered in the Bacinete archaeological complex, in particular in the rock art sites of Bacinete III and Bacinete Main Shelter (Cádiz). The tables include the acoustic data derived from those impulse responses.

Data corresponding to a demographic survey conducted in Mopeia district (Zambezia province, Mozambique) to inform the Broad One Health Endectocide-based Malaria Intervention in Africa project, a cluster randomized clinical trial. Data consists of household and individual level variables.

This dataset contains raw analytical data used in the manuscript by Balanza N, Erice C, Ngai M et al. “Prognostic accuracy of biomarkers of immune and endothelial activation in Mozambican children hospitalized with pneumonia”. Demographic, clinical, and biomarker data of 472 children with WHO-defined pneumonia admitted to Manhiça District Hospital (Mozambique) and 80 healthy community controls are included.

A high-throughput untargeted metabolomic analysis was applied in plasma samples to detect hub metabolites and biomarkers of aging incorporating a sex/gender perspective. A cohort of 978 healthy human adults (45.9% females, and 54.1 % males) from 50 to 98 years of age was used.

This dataset corresponds to the results explained in the paper: "Palaus M, Viejo-Sobera R, Redolar-Ripoll D and Marrón EM (2020) Cognitive Enhancement via Neuromodulation and Video Games: Synergistic Effects? Front. Hum. Neurosci. 14:235. doi: 10.3389/fnhum.2020.00235". The data were collected during the 2014-2017 period at the Cognitive NeuroLab (cognitiveneurolab.org, Universitat Oberta de Catalunya, UOC) as part of the "Cognitive enhancement by means of TMS and video game training: synergistic effects" doctoral project founded by the Universitat Oberta de Catalunya.

Datasets regarding ammonium removal and recovery in electrochemical and bioelectrochemical systems

An algorithm that combines Big Earth Data and geospatial analysis in Google Earth Engine for the automated detection of archaeological mounds and Cultural Heritage sites that are potentially endangered by new agricultural developments.

The dataset contains supplementary materials to accompany the paper “Conesa, F. C., Orengo, H. A., Lobo, A., & Petrie, C. A. (2022). An Algorithm to Detect Endangered Cultural Heritage by Agricultural Expansion in Drylands at a Global Scale. Remote Sensing, 15(1), 53. MDPI AG. http://doi.org/10.3390/rs15010053".

It includes the JavaScript code to be implemented in Google Earth Engine(c) and the R script for vector output visualisation.