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Milk metabolome reveals pyrimidine and their degradation products as the discriminant markers of different corn silage-based nutritional strategies - Supplementary table 2
No full textMetabolomic dataset resulting from the UHPLC-HRMS (Orbitrap) analysis containing all the annotated milk metabolites as a function of the different cows' feeding strategies, together with their level of confidence in annotation, relative abundance, and composite mass spectrum (from isotopic-MS and MSMS). The discriminant VIP milk metabolites of the different OPLS-DA models are also provided
DATASET_Psychopathological burden and coping strategies among Italian healthcare workers facing the COVID-19 emergency: data from the COMET collaborative network
No full textDATA from "Psychopathological burden and coping strategies among Italian healthcare workers facing the COVID-19 emergency: data from the COMET collaborative network
thyme metabolomics profile as a function of origin and sterilization
No full textdataset of the manuscript "A new metabolomics insight for origin and processing authentication of thyme by comprehensive UHPLC-HRMS fingerprinting and chemometrics" by Araceli Rivera-Pérez, Pascual García-Pérez, Roberto Romero-González, Antonia Garrido Frenich, and Luigi Lucini
The data are produced by LC-HRMS foodomics and include annotated features, Ms and MS/MS spectra, as well as individual abundance across samples and treatments
Milk metabolome reveals pyrimidine and its degradation products as the discriminant markers of different corn silage-based nutritional strategies - Supplemental Table 1
No full textSupplementary table 1. Diet ingredient formulation considering the different nutritional strategy-based clusters (Gallo et al., 2022)
Drought, heat, and their combination impact the root exudation patterns and rhizosphere microbiome in maize roots_Supplementary material 3
No full textSupplementary material 3: metabolomics datase
Data for: Impact of unconventional ripening conditions on the production of nitrate-free pork salami: A microbiological and metabolomic comparison
No full textDataset gained through metabolomics from nitrate-free salami samples produced via cold-ripening and hurdle technologie
Impact of mycotoxins-contaminated corn silage intake on the untargeted metabolomic profile of cow milk - Supplementary table 1
No full textMetabolomic dataset resulting from the UHPLC-HRMS (Orbitrap) analysis containing all the annotated metabolites in bunk tank milk samples collected from dairy cows following the intake of corn silages contaminated by mycotoxins, together with their level of confidence in annotation, relative abundance, and composite mass spectrum (MS and MSMS transitions). The discriminant milk metabolites passing the different statistical approaches (i.e., Volcano Plots and VIP selection method) together with the cross-validation parameters of the OPLS-DA prediction model built are also provided
The longitudinal health behaviours of European study abroad students sampled from forty-two countries and across three-waves
No full textResearch on travelling populations, indicates that geographic mobility is associated with changes in health behaviours. However, there is currently little longitudinal data recording study abroad students' health behaviours other than alcohol use, and that includes a variety of risk and protective factors related to students' demographics and their experiences abroad.
The present dataset contains the original longitudinal data from a study of European study abroad students' and includes information on participants health-related behaviour: including physical exercise, diet, alcohol and drug use, and unprotected casual sex. Self-reported data were collected across three waves: on arrival in the host country, to assess pre-departure behaviour (T1), four months through the period abroad (T2), and four months after returning home (T3). Data on factors related to participants' demographics and their abroad experience, including motivations to study abroad, acculturation orientation and adjustment to the host environment, and perceptions regarding different referent peers’ drinking behaviour were also collected.
Data were collected in the 2015-2016 academic year. At T1 students in 200 cities from more than 40 European countries were approached by representatives from an international student association. Participants who completed at least two surveys were included (N = 908). The T1 survey was completed by 899 students (nine students provided an e-mail address but did not complete the survey at T1), 785 (86.5%) completed T2 survey, and 438 (48.2%) the T3 survey. The data article presents tables charting variables measured by survey wave and participants' socio-demographic and study abroad experience characteristics.
With an acceptable drop-out across the three waves, these data may be of interest to researchers who wish to understand factors related to changes in health behaviours in this population and develop targeted health promotion interventions. Other stakeholders such as policy makers, international offices, health professionals in counselling service, student associations may also use these data to develop communication campaigns and intervene with reference to relevant risk and protective factors
Data for: First-Mile Accessibility to Health Services: a mHealth Model for Rural Uganda
No full textdata analytic
Data for: Clever little lies: Math performance and cheating in primary schools in Congo
No full textData for: Clever little lies: Math performance and cheating in primary schools in Cong