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612 results for “Croatia”
Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Croatia
<p>This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001.</p> <p><strong>Reporting authorities contributing to each data collection</strong>:</p> <ul> <li>TSE_2023_HR: Ministry of Agriculture (MPS)</li> <li>TSE_2022_HR: Ministry of Agriculture (MPS)</li> <li>TSE_2021_HR: Ministry of Agriculture (MPS)</li> <li>TSE_2020_HR: Ministry of Agriculture (MPS)</li> <li>TSE_2019_HR: Ministry of Agriculture (MPS)</li> </ul>
CROCorp: Corpus of Parliamentary Debates in Croatia
<p>The repository contains a cleaned and pre-processed corpus of parliamentary debates from the Croatian Parliament (Sabor). The corpus is accompanied by the metadata on elected representatives and their political parties. It covers the period of 2003-2020 (five complete terms) and counts over 500 thousand speeches.</p> <p><strong>If you use the dataset, please cite</strong>: Mochtak, Michal, Josip Glaurdić, and Christophe Lesschaeve (2022): CROCorp: Corpus of Parliamentary Debates in Croatia (v1.1.1), https://doi.org/10.5281/zenodo.6521372.</p> <p>v1.1.1 (<strong>latest version</strong>)<br> - added the concept DOI to codebooks (DOI was generated only after the repository was published)</p> <p>v1.1.0<br> - improved coding of dummy variable "moderator" (using less error-prone alghoritm for detecting the modertor role)<br> - fixed issue with agenda points which are conncatenated while preserving a unique web link<br> - recoded agenda points tags using better ML model (transformer architecture)</p> <p>v1.0.0<br> - originally posted on GESIS repository (migrated to ZENODO due to limitations concerning the concept DOI)</p>
CROSSBOW HLU2-UC4-TC4 Day ahead energy Price for the demonstration period in Croatia
<p>For the evaluation of the curtailment distribution algorithm, an experiment was made with the forecast generation from TS Konjsko and the simulation of 30 limitations applied on random days. This dataset contains the DA energy prices in Croatia at the time the demonstration was held</p>
AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Croatia
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>
National Checklists 2017: Croatia Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from Croatia collected using effechecka and geonames polygons
National Checklists 2019: Croatia Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Croatia collected using effechecka and geonames polygons
Stakeholder in Agricultural Data Ecosystem in Croatia
<p>To discover the relevant priority groups for further focus in open data ecosystem maturation, we have imposed the level of the stakeholder importance (derived from the number of query references) to the level of the stakeholder influence to the data supply (average expert assessment).</p>
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Croatia
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). </p> <p>More details are available in last year's finalised call for data ‘<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2020 – Croatian Food Agency, Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>OCC-CHEMMON2021 – Croatian Food Agency, Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>OCC-CHEMMON2022 – Croatian Food Agency, Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>OCC-CHEMMON2023 – Croatian Food Agency, Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p> <p>OCC-CHEMMON2024 – Croatian Food Agency, Ministry of Agriculture - Directorate of Food Quality and Phytosanitary Policy</p>
HR01 - High school - Konjscina (Croatia)
<p>Data files for building: HR01 - High school - Konjscina (Croatia)</p> <p>Languages: English</p> <p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p> <p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p> <p>The files are organised in the following folders (note that not all files are always provided):</p> <ol> <li>Main data and Results, with: <ol> <li>Neutral data inventory.</li> <li>Neutral results report.</li> <li>Original EPC certificate.</li> </ol> </li> <li>Energy Consumption Data, with: <ol> <li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li> </ol> </li> <li>Drawings <ol> <li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li> </ol> </li> <li>Other Data <ol> <li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li> </ol> </li> <li>Dynamic Model <ol> <li>Data to run a dynamic model of the building, if available.</li> </ol> </li> </ol> <p>The files have been redacted to exclude confidential information. </p>
FIG. 1 in A new subspecies of Ruthenica filograna (Pulmonata: Clausiliidae) from Croatia
FIG. 1. Schematic map of distribution of Ruthenica filograna pocaterrae ssp. nov. (red circle) and Ruthenica filograna s.l. (black circles) in the South-western part of the area. РИС. 1. Карта-схема распространениЯ Ruthenica filograna pocaterrae ssp. nov. (красный круг) и Ruthenica filograna s.l. (черные круги) в Юго-Западной части ареала.
National Checklists: Croatia Species List
Data from: GBIF.org (23 January 2025) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.vd2ajk" target="_blank" rel="noopener">https://doi.org/10.15468/dl.vd2ajk</a>
Results from the monitoring of veterinary medicinal product residues and other substances in live animals and animal products - Croatia
<p>This dataset contains the monitoring results of veterinary medicinal product residues and other substances measured in live animals and animal products analysed by the national competent authority of Croatia. The presence of unauthorised substances, residues of veterinary medicinal products in food may pose a risk factor for public health.</p> <p>For this reason and in order to ensure a high level of consumer protection, a comprehensive legislative framework has been established in the European Union (EU) which defines maximum limits permitted in food and monitoring programmes for the control of the presence of these substances in the food chain. Regulation (EU) No 37/2010 establishes maximum limits for residues of veterinary medicinal products in food-producing animals and animal products. Maximum residue levels for pesticides in or on food and feed of plant and animal origin are laid down in Regulation (EC) No 396/2005. Commission Implementing Regulation (EU) 2022/1646 lays down practical arrangements for and specific content of official controls of the use of veterinary medicinal products in live animals and products of animal origin through three different official national control plans: a national risk-based control plan for production in the Member States, a national randomised surveillance plan for production in the Member States and a national risk-based control plan for third-country imports. Additionally, Commission Delegated Regulation (EU) 2022/1644 lays down the range of samples and stage of production, processing and distribution at which the samples are to be taken.</p> <p>Since 2018 until 2022, the data on the national residue monitoring plan were reported to EFSA in accordance with Council Directive 96/23/EC.</p> <p>The dataset contains the results of laboratory tests from samples taken from bovines, pigs, sheep, goats, horses, poultry, rabbits, farmed game, wild game aquaculture, milk, eggs and honey, and from 2023 also samples from casings, insects and reptiles.</p> <p>Targeted samples are taken with the aim of detecting illegal treatment or controlling compliance with the maximum levels laid down in the relevant legislation. This means that, in their national plans Member States target the groups of animals (species, gender, age) where the probability of finding residues is the highest. Conversely, the objective of random sampling is to collect significant data to evaluate, for example, consumer exposure to a specific substance.</p> <p>Suspect samples are taken as a consequence of i) non-compliant results on samples taken in accordance with the control plans, ii) possession or presence of prohibited substances at any point during manufacture, storage, distribution or sale through the food and feed production chain, or iii) suspicion or evidence of illegal treatment or non-compliance with the withdrawal period for an authorised medicinal veterinary product.</p> <p>Residues of pharmacologically active substances mean active substances, excipients or degradation products and their metabolites, which remain in food.</p> <p>Unauthorised substances mean substances that are not authorised as veterinary medicinal products or as a feed additive under European Union legislation.</p> <p>Prohibited substances mean substances which are prohibited for use in food producing animals according to the European Union legislation.</p> <p>Non-compliant sample is a sample that has been analysed for the presence of one or more substances and failed to comply with the legal provisions for at least one substance. Thus, a sample can be non-compliant for one or more substances.</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>VMPR_2023 – Croatian Food Agency</p> <p>VMPR_2022 – Croatian Food Agency</p> <p>VMPR_2021 – Croatian Food Agency</p> <p>VMPR_2020 – Croatian Food Agency</p> <p>VMPR_2019 – Croatian Food Agency</p> <p>VMPR_2018 – Croatian Food Agency</p> <p>VMPR_2017 – Croatian Food Agency</p>
Chemical composition and sources of organic aerosol on the Adriatic coast in Croatia
<p>Air pollution studies are still scarce in some areas in Europe like around the Adriatic Sea. Source apportionment of the fine particulate (PM<sub>2.5</sub>) organic aerosol (OA) was conducted near Rogoznica, a small touristic settlement on the Eastern Adriatic coast of Croatia, near Lake Rogoznica (43.53° N, 15.95° E). Filter-based offline analyses of PM by a high resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) and an extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF) were used to apportion OA to its sources. We quantified the contributions of fresh biomass burning OA (BBOA) and three oxygenated OA (OOA), denoted as background OOA (bkgOOA), summer OOA (SOOA), and sulfur-containing OOA (SC-OOA). The bkgOOA component correlates with anthropogenically influenced secondary inorganic aerosol constituents (e.g. sulfate) and dominates OA both during the warm and cold seasons (44%). It exhibits characteristics of regional SOA and there are indications that during the warm season SOA from wildfires could be substantial contributors. EESI-TOF measurements of the levoglucosan related ion showed a high correlation with the BBOA factor. Secondary OA has a similar molecular composition during the cold and warm seasons – in line with the large contribution of bkgOOA throughout the investigated seasons. SOOA comprises 19% of total OA and increases exponentially with the local temperature, consistent with SOA production by oxidation of biogenic emissions. In addition to biogenic precursors, other precursors (alkanes and aromatic) plausibly also contribute to the SOOA enhancement during the warm season. SC-OOA is a minor contributor to OA (6%) and is most likely linked to emissions from a close-by marine lake.</p>
Particulate matter concentrations (PM1, PM2.5, PM10) since 2009 for a measurement sites in Zagreb, Croatia
<p>Daily samples of PM<sub>1</sub>, PM<sub>2.5</sub> and PM<sub>10</sub> fractions have been collected continuously during 12-years period (2009-2020) at Zagreb, Croatia (45°50’7’’ N, 15°58’42’’ E, 116 m a.s.l.,). A sampling site was located in the northern, residential part of city which was characterized by modest traffic and population density. The main sources during the household heating season which usually started in October and lasted until April were gas and/or wood. Mass concentrations of PM<sub>1</sub>, PM<sub>2.5</sub> and PM<sub>10</sub> fractions were determined gravimetrically, while meteorological parameters (temperature, RH, wind speed and direction, pressure, and precipitation) were obtained from the Croatian Meteorological and Hydrological Service.</p>
FIG. 2 in A new subspecies of Ruthenica filograna (Pulmonata: Clausiliidae) from Croatia
FIG. 2 (on the next page). A1-A6. Ruthenica filograna pocaterrae ssp. nov., holotype, SMF 360698. B1-B6. R. f. filograna, H – 7.52 mm, Western Russia, Smolensk Region, to the South of Ugra railway station, forest in ~150 m to the West from railway opposite sign "51 km", 13-10-1996, coll., det. R. Egorov, REC. C1-C3. R. f. filograna, H – 8.1 mm, North Italy, Udine, N 46.17375, E 13.48128, to the West from Pulfero (camping Podpolizza), right side of the Val Natisone, alt. 220 m, coll., det. J. Eikenboom (collection nr. 12800). D1-D3. R. f. filograna, H – 8.0 mm, Slovenia, Bled, N 46.35797, E13.07717, to the West of Lake Bled, in rocks and humus soil on the hill Ojstrica, coll., det. J. Eikenboom (collection nr. 3389), 08.1982. Photo by A. Sysoev (Figs A-B); J. Eikenboom (Figs C-D). РИС. 2 (на след. стр.). A1-A6. Ruthenica filograna pocaterrae ssp. nov., голотип, SMF 360698. B1-B6. R. f. filograna, H – 7.52 мм, ЗападнаЯ РоссиЯ, СмоленскаЯ обл., к Югу от ж/д станции Угра, в лесу примерно в 150 м на Запад от ж/д Знака «51 км», 13-10-1996, сб., опр. Р. Егоров. C1-C3. R. f. filograna, H – 8.1 мм, СевернаЯ ИталиЯ, Удине, N 46.17375, E 13.48128, к Западу от г. Пульферо (кемпинг Podpolizza), праваЯ сторона Val Natisone, высота 220 м, сб., опр. J. Eikenboom (коллекционный номер 12800). D1-D3. R. f. filograna, H – 8.0 mm, СловениЯ, г. Блед, N 46.35797, E13.07717, к Западу от оЗ. Блед, в скалах на холме Ойстрица, сб., опр. J. Eikenboom (коллекционный номер 3389), 08.1982. Фото А. Сысоева (Рис. А-В) и J. Eikenboom (Рис. C-D).
Fig. 3 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 3. Correlation between the body mass of caught fat dormice (Glis glis L.) and the days of hunting for the locality of Vrbovsko during the autumn of 1994
Fig. 6 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 6. Correlation between the number of caught fat dormice (Glis glis L.) and the days in the hunting season for the locality of Gerovo during the autumn of 1999
Fig. 5 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 5. Correlation between the number of caught fat dormice (Glis glis L.) and the days in the hunting season for the locality of Vrbovsko during the autumn of 1994
Fig. 4 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 4. Correlation between the body mass of caught fat dormice (Glis glis L.) and the days of hunting for the locality of Gerovo during the autumn of 1999
Fig. 1 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia
Fig. 1. The area of protection, permitted hunting and research of the fat dormouse (Glis glis L.) in Croatia
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)
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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.