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105 results for “croatian”
FIG. 1 in Three new species of Raphitoma Bellardi, 1847 (Mollusca, Gastropoda, Raphitomidae) from Croatian waters (NE Adriatic Sea)
FIG. 1. — Phylogenetic relationships (maximum likelihood topologies) among species of the genus Raphitoma (see Russini et al. 2020 for further details). Numbers at nodes are bootstrap supports after 1000 pseudoreplicates, and posterior probabilities after a Bayesian analysis on the same dataset; only values higher than 75% bootstrap support and 95% posterior probability are reported; black dots indicate nodes supported by 100% bootstrap and 1.0 posterior probability. A, ML analysis on the combined dataset (COI + 16S + 12S + ITS2); B, the histogram portraying the distribution of the pairwise genetic distances (K2p) among the COI sequences (red bars on the left are intraspecific comparisons, yellow bars on the right are interspecific comparisons); C, ML analysis on the ITS2 alignment.
FIG. 15 in Three new species of Raphitoma Bellardi, 1847 (Mollusca, Gastropoda, Raphitomidae) from Croatian waters (NE Adriatic Sea)
FIG. 15. — Murex echinatus Brocchi, 1814: A, lectotype, MCSNM i 5427; B, D, paralectotype, MCSNM i5428; C, E, paralectotype, MCSNM i5429. Photos courtesy: Martina Paolini (MCSNM).
Croatian results from the monitoring of pesticide residues in food
<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p> </p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>MOPER_2022 - Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>MOPER_2021 - Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>MOPER_2020 - Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>MOPER_2019 - Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>MOPER_2018 - Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>MOPER_2017 - Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>MOPER_2016 - Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>MOPER_2015 - Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>MOPER_2014 - Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p> </p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br>https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>
A multilabel dataset for distinguishing Bosnian, Croatian, Montenegrin, and Serbian
<p>This dataset contains files used in the VarDial 2024 Shared Task on Distinguishing Between Similar Languages - Multiple Labels for the Bosnian - Croatian - Montenegrin - Serbian (BCMS) subtask.</p> <p>The starting point for this dataset is the one published by Rupnik et al. (2023). It contains geolocated data from the BCMS linguistic area collected from Twitter (rebranded as X).<br>Each instance contains the full tweet production of a single user, which was manually annotated for the user's country.<br>The original annotation was single-label, and it was produced by a single annotator. In the version of the data produced here, the test and dev sets were reannotated by multiple annotators, in a multi-label setting. For the details on the reannotation process, please see Miletić and Miletić (2024). We have also excluded retweets from the original data, as these represent reproduced content from a different user account and may not be representative of the language use of the user themselves.</p> <p>For details on the shared task, we refer you to Chifu et al. (2024).</p>
Stress placement in Stress-standard Serbo-Croatian (speakers from Bor, Niš, Zaječar)
<p>In order to obtain a good overview of the stress standard SC situation, we assembled a database of the 3000 most frequent verbs in the Serbian variety of standard Serbo-Croatian. For this purpose we used the web corpus srWac (Ljubešić & Klubička 2014).</p> <p>We asked four stress standard SC speakers (two from Niš, one from Bor and one from Zaječar) to pronounce one finite and one non-finite form of each verb. The speakers were asked to use the variety they would speak when talking to a stranger from their own hometown in a relatively formal setting (e.g. at a doctor’s or a government office). </p> <p>Explanation of columns:</p> <p>INF: Citation form of the verb</p> <p>Theme type: Theme vowel class for transparent verbs, example verb used in the paper for intrasparent ones</p> <p>Transparency: "tra" for transparent verbs, "intra" for nontransparent verbs.</p> <p>N1_form_NF: Non-finite (infinitive-based) form produced by speaker 1 from Niš.<br> N1_form_NF_Stress_from_INFL: Location of stress in the non-finite (infinitive-based) form produced by speaker 1 from Niš, counting from the INFL (i.e. from the +).<br> N1_form_F: Finite (present-tense-based) form produced by speaker 1 from Niš.<br> N1_form_F_Stress_from_INFL: Location of stress in the the finite (present-tense-based) form produced by speaker 1 from Niš, counting from the INFL (i.e. from the +).</p> <p> </p> <p>N2_form_NF: Non-finite (infinitive-based) form produced by speaker 2 from Niš.<br> N2_form_NF_Stress_from_INFL: Location of stress in the non-finite (infinitive-based) form produced by speaker 2 from Niš, counting from the INFL (i.e. from the +).<br> N2_form_F: Finite (present-tense-based) form produced by speaker 2 from Niš.<br> N2_form_F_Stress_from_INFL: Location of stress in the the finite (present-tense-based) form produced by speaker 2 from Niš, counting from the INFL (i.e. from the +).</p> <p>B_form_NF: Non-finite (infinitive-based) form produced by the speaker from Bor.<br> B_form_NF_Stress_from_INFL: Location of stress in the non-finite (infinitive-based) form produced by the speaker from Bor, counting from the INFL (i.e. from the +).<br> B_form_F: Finite (present-tense-based) form produced by the speaker from Bor.<br> B_form_F_Stress_from_INFL: Location of stress in the the finite (present-tense-based) form produced by the speaker from Bor, counting from the INFL (i.e. from the +).</p> <p>Z_form_NF: Non-finite (infinitive-based) form produced by the speaker from Zaječar.<br> Z_form_NF_Stress_from_INFL: Location of stress in the non-finite (infinitive-based) form produced by the speaker from Zaječar, counting from the INFL (i.e. from the +).<br> Z_form_F: Finite (present-tense-based) form produced by the speaker from Zaječar.<br> Z_form_F_Stress_from_INFL: Location of stress in the the finite (present-tense-based) form produced by the speaker from Zaječar, counting from the INFL (i.e. from the +).</p> <p><br> </p>
Fig. 3 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract
Fig. 3: Presence of ocean literacy principles (OLP) and concepts (OLC) in higher grades of the elementary school science textbooks in Croatia (grades 5-8). Results are presented as average occurrence and standard deviation of books analysed for each grade.
Fig. 2 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract
Fig. 2: Presence of ocean literacy principles (OLP) and concepts (OLC) in lower grades of the elementary school science textbooks in Croatia (grades 1-4). Results are presented as average occurrence and standard deviation of books analysed for each grade.
Fig. 1 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract
Fig. 1: Mean contribution of pages with ocean-related topics in the text (A) and illustration (B) in the Croatian elementary school textbooks. Error bars represent the standard deviation among different publishers or textbook lines.
Fig. 4 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract
Fig. 4: Best-case scenario of presence of ocean sciences topics according to OL principles and concepts in the elementary school textbooks in Croatia.
Figure 2 in Modeling of the Adriatic Bora on the Croatian Coast
Figure 2. Trajectories of air particles flowing around the middle relief for λ = 6.7 km, U = 13,4 m/s, c Ƴ = 6,0,3 deg/km to the heights of 10 km at – 20 <x <40 km. Values of z 0 change with width of 0.25 km (model calculation option IV)
Fig. 1 in Modeling of the Adriatic Bora on the Croatian Coast
Fig. 1 shows that the disturbances are quite large at all heights, but especially above the edges of the ridges. There they are characterized by the presence of a zone with rotors in the form of closed vortices and extended sections of vertical movements. The trajectories with z 0 = 2 – 3 km and 7 – 8,75 km have the character of developed rotor circulations (Long, 1955) with the amplitudes of about 0.5 km. In the leeward region downstream the disturbances gradually assume a wave character. The disturbance ranges at heights of 1.5 - 2 km above the mountains have decreased and are equal to 100 - 150 m. Moreover, further downstream these disturbances decrease quickly, remaining significant in the surface layer: for trajectories with z 0 = 0,35 km the amplitudes above the sea are at least 50 m at distances up to 40 km.
Figure 4 in Modeling of the Adriatic Bora on the Croatian Coast
Figure 4. The dependence of the characteristic velocity on λ c for various reliefs: a) for Vb /U; b) for Vb. The horizontal axis is a Lyra scale λ c.
Figure 3 in Modeling of the Adriatic Bora on the Croatian Coast
Figure 3. Temperature disturbances at the leeward slope at λc = 4 km, Ƴ = 6 deg/km, U = 8 m/s. The isolines are drawn with the width of 1 degree (model calculation option II).
Serbo-Croatian DBnary archive in original Lemon format
<p>The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary.</p> <p>This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Serbo-Croatian language edition, ranging from 16th April 2015 to 1st July 2017.</p> <p>After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry. </p>
43 longevity-associated SNPs genotyped in a Croatian sample of oldest-old individuals
<p>This dataset presents genotype data for 43 single nucleotide polymorphisms (SNPs) that have been genotyped in an anonymised sample of 314 oldest-old individuals (85+ years) from Croatia. The SNPs are located in or near candidate genes for longevity, and were selected from publicly available literature databases (PubMed and repositories specialized for human longevity such as https://genomics.senescence.info/longevity/, http://ageing-map.org/). They were selected based on their strong or repeatedly reported association with human longevity and involvement in various metabolic pathways. Genotyping was performed by Kompetitive Allele Specific PCR (KASP) on genomic DNA isolated from peripheral blood using the salting-out method. The dataset also contains recoding of the genotypes for each participant according to their association with longevity: a value of 2 was assigned to the homozygous genotype of longevity allele, a value of 1 to the heterozygous genotype, and a value of 0 to the homozygous genotype of an allele not associated with longevity in our sample. In cases where there were less than 10 of either homozygous genotypes, and in cases where a dominant or recessive coding gave a more significant result in further analyses, they were additionally recoded as binary variables with only the values 0 and 1, with heterozygote being added to the less common homozygote. This data was used to perform logistic regression analyses to create the best models for predicting survival to the ages of 90 and 95. Those models were then used to create genetic risk scores (here named genetic longevity scores, GLS) for predicting that phenotype, which are shown in this dataset as well. Information about the selected SNPs is also presented: rs code, nearest gene, chromosome position, and references for literature sources where association with longevity is reported; along with data that refers to the studied Croatian population: alleles (major/minor), minor allele frequencies (MAF), genotyping success rate, and HWE p-values. </p>
The use of lexicographic resources in Croatian primary and secondary education - Survey Data
<p>The dataset contains the data collected in the survey on the use of dictionaries and other lexicographic resources in Croatian primary and secondary education, which was conducted from 1 February to 17 February 2023.</p>
High-density genomic characterization of native Croatian sheep breeds
<p class="MsoNormal"><span>A recent comprehensive genomic analysis based on 50K SNP profiles has shown that the regional Balkan sheep populations have considerable genetic overlap but are distinctly different from surrounding breeds. All eight Croatian sheep breeds were represented by a small number of individuals per breed. Here, we genotyped 220 individuals representing the native Croatian sheep breeds (Istrian Sheep, Krk Island Sheep, Cres Island Sheep, Rab Island Sheep, Lika Pramenka, Pag Island Sheep, Dalmatian Pramenka, Dubrovnik Sheep) and mouflon using the Ovine Infinium® HD SNP BeadChip (606,006 SNPs). In addition, we included publicly available Balkan Pramenka and other Mediterranean sheep breeds. Our analyses revealed the complex population structure of Croatian sheep breeds and their origin and geographic barriers (island versus mainland). Migration patterns confirmed the historical establishment of breeds and the pathways of gene flow. Inbreeding coefficients (F<sub>ROH > 2 Mb</sub>) between sheep populations ranged from 0.025 to 0.070, with lower inbreeding coefficients observed in Dalmatian Pramenka and Pag Island Sheep and higher inbreeding in Dubrovnik sheep. The estimated effective population size ranged from 61 to 1039 for Krk Island Sheep and Dalmatian Pramenka, respectively. Higher inbreeding levels and lower effective population size indicate the need for improved conservation management to maintain genetic diversity in some breeds. Our results will contribute to breeding and conservation strategies of native Croatian sheep breeds.</span></p>
A cross sectional study on adaptation and initial validation of a test to evaluate health claims among high school students – Croatian version
<p>Objectives: We validated the Croatian version of the test using multiple-choice questions (MCQs) from the Claim Evaluation Tools item bank of the Informed Health Choices project, and measured the ability of high school students to appraise health claims.</p> <p>Setting: 16 high schools from the urban agglomeration of the city of Split, Croatia.</p> <p>Participants: Final year high school students of at least 18 years of age.</p> <p>Interventions: 18 MCQs from the item bank considered relevant for high school students were translated. After face-validity testing, the questionnaire was piloted and sent to a convenient sample of 302 high school students.</p> <p>Primary and secondary outcome measures: Difficulty and discrimination indices were calculated for each MCQ to determine the validity of translation and the weight of MCQs. We assessed basic metric characteristics and performed initial validation of the test. Two tests were created, the full (18 MCQs) and the short version (12 MCQs). We analysed differences in test score according to gender and school.</p> <p>Results: The response rate was 96% (75% female respondents). Metric characteristics of both tests were satisfactory (Cronbach α=0.71 for the full and α=0.73 for the short version). The mean score (± standard deviation) for the full version was 11.15±3.43 and 8.13±2.76 for the short version. There were 6 easy and 12 moderately difficult questions. Questions concerning effectiveness and dissimilar comparison groups were answered correctly by fewer than 40% of students. Female students and those from grammar and health schools scored higher on both tests.</p> <p>Conclusions: Both tests showed good metric characteristics and may be used for quick and reliable assessments of adolescents' ability to appraise health claims. They may be used to identify needs and inform development of educational activities to foster critical thinking about health among adolescents</p>
CS16: Policy for sustainable development ( development of "Croatian Case Study - Legumes: their potential role in Croatian agricultural production")
<p>(i)The main aim is to develop a document that will gave an overview of current situation regarding legumes consumption and production in Croatia and also to develope a reccomendations for policy makers. <br> (ii) Purpose of this Case Study and the whole project implementation is to raise awareness about consumption and production of legumes both for human consumption and animal feed.<br> (iii) April 2019.- September 2019. <br> (iv) Species - N.A. <br> (v) PIRED facilities<br> (vi) Following different methodological tools was applied like: desk research, analysis of available quantitative historical data, interviews with key regional retailers and company managers, focus groups, benchmarking, expert analysis and expert drafting<br> (vii) detection of number of producers, utilized areas, processing infrastructure and development of recommendations for policy makers and local decision makers. <br> (viii) in progress<br> (ix) This document will have significant impact on policy, mainly on local level ( for local decision makers) because developed recommendations will gave an directions, guideline and examples of good practice.</p>
CS16: Policy for sustainable development ( development of "Croatian Case Study - Legumes: their potential role in Croatian agricultural production")
<p>(i)The main aim is to develop a document that will gave an overview of current situation regarding legumes consumption and production in Croatia and also to develop recommendations for policy makers. <br> (ii) Purpose of this Case Study and the whole project implementation is to raise awareness about consumption and production of legumes both for human consumption and animal feed.<br> (iii) April 2019.- September 2019. <br> (iv) Species - N.A. <br> (v) PIRED facilities</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.