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Dataset on impact of entrepreneurship workshops and digital tools on entrepreneurial mindset and intention
No full textDataset contains questionnaire responses from 189 participants. It includes questions about participants entrepreneurial intention, mindset, attitude towards AI tools etc. Participants were Bachelors students, who were studying in Latvia, questionnaires were filled in before and after workshops. Dataset was obtained as a part of grant project No. LU-BA-PA2024/1-0068 "Digital Tools in Entrepreneurship Education: the Impact on Entrepreneurial Intention and Attraction of Development Funding"
Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal
No full textThe contributions of EU Member States were assessed over two periods: (1) the progress period, defined as the change between the averages for 2012–2015 and 2016–2019; and (2) the target period, defined as the change between the averages for 2020–2024 and 2024–2027. During the progress period, the differentiation of Member States was based on two indicators: (1) the share of groundwater monitoring stations with nitrate concentrations exceeding 50 mg/l, averaged over 2016–2019 (%); and (2) the change in this share, expressed in percentage points (pp), compared with the baseline period (i.e. 2016–2019 versus 2012–2015). During the target period, the differentiation of Member States was based on two indicators: (1) the magnitude of change required to achieve the target value by the average period 2024–2027, in order to characterise the future development direction and the intensity of the changes needed (pp); and (2) the CAP Strategic Plan result indicator R.22, which reflects the future development projected in policy planning documents (%).The region examined by the research covers 27 EU Member States: Austria (AT), Belgium (BE), Bulgaria (BG), Croatia (HR), Czech Republic (CZ), Cyprus (CY), Denmark (DK), Estonia (EE), Finland (FI), France (FR), Germany (DE), Greece (EL), Hungary (HU), Ireland (IE), Italy (IT), Latvia (LV), Lithuania (LT), Luxembourg (LU), Malta (MT), the Netherlands (NL), Poland (PL), Portugal (PT), Romania (RO), Slovakia (SK), Slovenia (SI), Spain (ES) and Sweden (SE). In the case of Belgium, there are two CAP SPs for the regions of Wallonia and Flanders; therefore, the forecast indicators were analysed for each region
Quantitative dataset: Survey data obtained in the project (WP2) on the formal and non-formal educational environment as an institutional framework for civic participation (including decision-making, trust).
No full textThe survey was conducted within the project “Preconditions of Authentic Youth Participation in Formal and Non-Formal Education” (UNFRAMED) (No. VPP-IZM-Izglītība-2023/6-0002), which is funded by the Ministry of Education and Science of the Republic of Latvia under the State Research Programme “Education” (2023–2026). The State Research Programme is administered by the Latvian Council of Science. The data collection method is a quantitative online survey among representatives of student self-governments in educational institutions (pupils and students) and youth councils at the municipalities
Titration Results of Rapeseed Soapstock in i-PrOH with Aqueous Sulfuric, Formic, Acetic, and Citric Acids
No full textThis dataset contains tabulated pH titration results of rapeseed soapstock in i-PrOH using aqueous sulfuric, formic, acetic, and citric acids, including acid consumption values. Titration experiments enabled the identification of buffering regions in rapeseed soapstock and the determination of acid consumption required for efficient alkalinity neutralization and conversion of soaps to free fatty acids. The suitability of different acids for soapstock acidification was assessed
Meteorological dataset of experimental site
No full textThe dataset comprises meteorological (environmental) data collected at the GreenAgroRes project (No. VPP-ZM-VRIIILA-2024/1-0002) study site located at the Institute of Horticulture (LatHort) experimental fruit-growing fields in Dobele, Latvia. These data characterize the environmental conditions at the study site throughout the project period. Field experiments are inherently conducted at specific locations and times, both of which influence the expression of biological traits. Therefore, in crop research it is essential to evaluate interactions between organisms and their environment. Environmental conditions are primarily defined by weather variables, which are described through meteorological data; consequently, the collection and inclusion of these data in the analysis were of critical importance
Combined measurements acquired using Finapres, Recapilarizator and remote photoplethysmography
No full textProject: Multiparametric optical technique for fluid resuscitation and vasopressor therapy guidance in critically ill COVID-19 patients” ID: lzp-2022/1-0326. This dataset corresponds to Work Package Nr. 2 as per project description
Assessment of Biostimulant effectiveness across Mineral and Organic Soil substrates
No full textDataset provides experimental data regarding the effect of Furcellaria lumbricalis algae digestate biostimulant on plant development and total dry matter yield of garden radishes (Raphanus raphanistrum subsp. sativus) grown in different soil substrates. The dataset includes information about soil chemical properties, plant physiological indicators and dry matter yield obtained during vegetation pot experiments. The experiment evaluates the potential to reduce mineral fertiliser input to 75% of the full norm while maintaining yield levels by using an algal digestate biostimulant produced through anaerobic fermentatio
Proteolytic Activity of Mesophilic Lactic Acid Bacteria in Fermented Milks
No full textDatasets provide data regarding proteolytic activity of commercial mesophilic lactic acid bacteria starter cultures. The datasets include information about mesophilic lactic acid bacteria (Leuconostoc spp., Lactococcus spp.) growth rate, pH, non-protein compounds, free amino acids, protein fractions changes in fermented milks after fermentation and during storage
Multispectral skin lesion images
No full textThis project aims at developing an advanced diagnostic methodology for fast grouping of whole-body detected skin malformations and identifying of dermal-invaded malignancies, including skin melanomas. The proposed method is based on combining the triple spectral line whole-body imaging at the visible spectral range with parallel imaging within a near-infrared (NIR) spectral band. A prototype equipment for such combined imaging will be developed and clinically validated, with subsequent elaboration of a diagnostic protocol for clinical implementation. The three visible spectral line images allow detecting all patient’s skin lesions sized >1 mm and mapping the content changes of the main skin chromophores at each of them, with their further sorting into appropriate pathology groups. Thanks to deeper light penetration into skin, the NIR band images taken in parallel allow immediate detection of the malignant skin malformations which invade the dermal layer of skin
Hyperspectral imaging (HS) of tomato leaves inoculated with Alternaria protenta
No full textThe dataset consists of hyperspectral images (HS) and associated data of tomato leaves captured during a disease development study. Number of trials took place in an experimental greenhouse where tomatoes of cultivar Encore were inoculated with Alternaria protenta pathogens, and the development of the disease on leaves was captured on a regular basis using an HS camera over the course of several weeks. Additional data were obtained via basic image preprocessing and feature extraction procedures. The dataset is suitable for in-depth disease development studies based both on statistical approaches (e.g. spectral index calculations) as well as deep learning models (e.g., semantic segmentation)