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282 results for “Montenegro”
Montenegro 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. The chemical monitoring data collected and published by EFSA include the analytical results provided by EU Member States, Iceland, Norway and three pre-accession countries: Bosnia-Herzegovina, Montenegro and North Macedonia. </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 <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 - Center for Eco-Toxicological Research - Administration for Food safety, Veterinary and Phytosanitary Affairs,</p> <p>MOPER_2022 - Center for Eco-Toxicological Research - Administration for Food safety, Veterinary and Phytosanitary Affairs,</p> <p>MOPER_2021 - Center for Eco-Toxicological Research - Administration for Food safety, Veterinary and Phytosanitary Affairs,</p> <p>MOPER_2020 - Center for Eco-Toxicological Research - Administration for Food safety, Veterinary and Phytosanitary Affairs,</p> <p>MOPER_2019 - Center for Eco-Toxicological Research - Administration for Food safety, Veterinary and Phytosanitary Affairs,</p> <p>MOPER_2018 - Center for Eco-Toxicological Research - Administration for Food safety, Veterinary and Phytosanitary Affairs,</p> <p>MOPER_2017 - Center for Eco-Toxicological Research - Administration for Food safety, Veterinary and Phytosanitary Affairs,</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>
Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Montenegro
<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_ME: Diagnostic Veterinary Laboratory (VetLab)</li> <li>TSE_2022_ME: Diagnostic Veterinary Laboratory (VetLab)</li> <li>TSE_2021_ME: Diagnostic Veterinary Laboratory (VetLab)</li> <li>TSE_2020_ME: Diagnostic Veterinary Laboratory (VetLab)</li> <li>TSE_2019_ME: Diagnostic Veterinary Laboratory (VetLab)</li> </ul>
National Checklists 2017: Montenegro 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 Montenegro collected using effechecka and geonames polygons
National Checklists 2019: Montenegro 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 Montenegro collected using effechecka and geonames polygons
Dataset for Green Transition Policies, Stakeholders and Practices in Montenegro
<p>This dataset contributed to deliverable 4.2 Regional Mapping Report and shows the Montenegrin mapping. This report is the second deliverable of WP4 – Measuring and assessing impacts and costs of a just green transition in the WB, of the GreenFORCE project. It was jointly authored by the WB project partners, as well as 2 subcontracted parties from the region.</p> <p>The EU Economic and Investment Plan for the WB includes a green agenda for the WB, with pillars to be pursued for transitioning towards a carbon-neutral economy. Such a shift will surely challenge the economies and societies in the WB. The social and policy context is yet fragile to allow for the development and mass distribution of green transition technologies, while human resources are not prepared and/or are insufficient to produce and implement innovation. Yet, the green transition also paves the way towards new development and resilience opportunities. The research will inform on the readiness/potential of societal actors (industry, academia, policymakers, civic society) to embrace the pathways to transformation, and will propose a framework for continuous monitoring of impacts and costs. The key findings and lessons learnt derived within WP4 will be transferred into the scientific papers and policy briefs (WP 2 & 3) and published under the dissemination events (WP5).</p> <p>Regional mapping is a key task for the research, contributing to initial data gathering and the refinement of the research proposal, and to the sub-question on the identification of sectors and territories affected by the transitions and current progress of transition practices. This is a participatory mapping, engaging local stakeholders and communities to reveal local knowledge. Each WB partner will produce the respective country report, and Co-PLAN will work on the final regional report.</p> <p>This deliverable is the final regional report. It will also include the mapping frame used to conduct the mapping process. The WB partners will do the mapping for their own countries. The PC will subcontract data gathering for the remaining countries. The mapping is done for actors, practices and policies in place, territories upon the level of relevance and potential for engaging in green transition; and sectors. All partners will design the mapping frame, using also knowledge from other mapping processes. The frame will contain the type of information to be collected, the standardisation of data entry, and the tailored instruments to be deployed for accessing information.</p>
Appendix Morphometric parameters of Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov. Abbreviations: N = number of specimens or structures analysed; Range = the smallest and the largest structure measurement found among all specimens measured; SD = standard deviation. All measurements are given in micrometers (μm); all indicators are given as a percentage (%) and italicized. in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Appendix Morphometric parameters of Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov. Abbreviations: N = number of specimens or structures analysed; Range = the smallest and the largest structure measurement found among all specimens measured; SD = standard deviation. All measurements are given in micrometers (μm); all indicators are given as a percentage (%) and italicized.
Fig. 10 in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Fig. 10. Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov., juvenile specimen, differential interference contrast microphotographs. A. Body, dorsal view. B. Body, internal view. C. Ventral body view. D. Dorsal view of scales. E. Dorsal view of spines.
Fig. 9 in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Fig. 9. Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov., bright field microphotographs. A. Lateral view of scales on trunk. B. Lateral view of spines on trunk.
Fig. 8 in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Fig. 8. Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov., bright field microphotographs. A. Dorsal view of scales on trunk region. B. Dorsal view of spines on trunk region. C. Ventral view of scales on trunk region. D. Ventral view of spines on trunk region. E. Dorsal view of scales on posterior trunk region. F. Dorsal view of spines on posterior trunk region. G. Dorsal view of scales on furcal base and furcal appendages. H. Ventral view of posterior trunk region with visible interciliary field scales and posteriormost interciliary field scales.
Fig. 7 in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Fig. 7. Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov. A. Dorsal view of scales on head and neck. B. Dorsal view of spines on head and neck. C. Internal view of head and neck. D. Head and neck, ventral view. (Bright field microphotographs.)
Fig. 6 in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Fig. 6. Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov., schematic drawings of the posterior trunk region, furcal base and furcal appendages.
Fig. 11 in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Fig. 11. Phylogenetic relationships of Chaetonotidae inferred from the Bayesian analysis of 18S rRNA, 28S rRNA and COI sequence data (for details on the species names see Table 3).
Fig. 4 in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Fig. 4. Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov., schematic drawings. A. Dorsal body view. B. Internal body view. C. Ventral body view.
Fig. 5 in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Fig. 5. Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov., schematic drawings of the scales. A. Head region scales. B. Neck region scales. C. Trunk region scales. D. Ventral interciliary field scales. E. Posteriormost ventral field scales. F, H. Furcal appendages dorsolateral one–lobed scales. G. Furcal appendages dorsal three-lobed scales.
Fig. 3 in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Fig. 3. Photographs of Obodska Cave. A. Entrance to the Cave. B. Sampling area inside the Cave. (Photographs by Przemysław Śmietana.)
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Montenegro
<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, and 2023, 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-CHEMMON2023 – Center for Eco-Toxicological Research</p> <p>OCC-CHEMMON2024 – Center for Eco-Toxicological Research</p>
FIG. 3 in Distribution and threat status of the liverwort Mannia triandra (Scop.) Grolle (Aytoniaceae, Marchantiophyta) in Montenegro
FIG. 3. — Distribution map of Mannia triandra (Scop.) Grolle in Montenegro. Orange dots are literature data (1965-2019), and black rings are new field data (2016-2022) given in the text.
FIG. 2 in Distribution and threat status of the liverwort Mannia triandra (Scop.) Grolle (Aytoniaceae, Marchantiophyta) in Montenegro
FIG. 2. — Microhabitat of Mannia triandra (Scop.) Grolle in a west exposed limestone rock crevice in Tuzy municipally (red arrow).
Abb. 1a-1b in Ceratina cucurbitina (ROSSI 1792) (Hymenoptera: Anthophoridae) als Bestäuber von Orchis quadripunctata CIRILLO ex TENORE (1812) (Orchidaceae) in Montenegro
Abb. 1a-1b: Ceratina cucurbitina (ROSSI) Männchen lateral mit Pollinien von Orchis quadripunctata CYR. et TEN. bei Becici (Montenegro West), 4.V.2013 leg. W. Schedl (Foto St. Heim). Abb. 2a-2b: Das selbe Männchen mit Pollinien auf der Stirn von dorsal (Foto St. Heim).
Figure 1AB in The first record ofDeroceras invadens (Gastropoda: Pulmonata: Agriolimacidae) for Montenegro
Figure 1AB. Living specimen of D. invadens from Tivat, Montenegro (left – 1A) and the penis with its gland and appendages of the same specimen (right – 1B).
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International Brain Laboratory public data
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OpenNeuro
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