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1,335 results for “Portugal”
Fig. 19 in Revision of the genus Ommatoiulus Latzel, 1884 (Julida, Diplopoda) in Portugal, with description of six new species
Fig. 19. Ommatoiulus staglae sp. nov. Paratype, ♂. A. Habitus, lateral view. B. Right gonopod, mesal view.
Fig. 15 in Revision of the genus Ommatoiulus Latzel, 1884 (Julida, Diplopoda) in Portugal, with description of six new species
Fig. 15. Ommatoiulus lusitanus (Verhoeff, 1895). A, C, E. 'Archiulus cingulatus' syntype (NHMW 3162). B, D, F. Schizophyllum (Eleutheroiulus) lusitanum, syntypes, slide preparation (ZMB 130856). A–B. Promerites, posterior view. C–D. Posterior gonopods, posterior view. E–F. Mesomerites, posterior view.
Fig. 3 in Revision of the genus Ommatoiulus Latzel, 1884 (Julida, Diplopoda) in Portugal, with description of six new species
Fig. 3. Ommatoiulus alacygni sp. nov. Holotype ♂, gonopods. A. Right promerite, posterior view. B. Left gonopod, mesal view. C. Left gonopod, posterior view.
Fig. 14 in Revision of the genus Ommatoiulus Latzel, 1884 (Julida, Diplopoda) in Portugal, with description of six new species
Fig. 14. Ommatoiulus litoralis sp. nov. A–B. Paratype, ♂ from Aljezur, right gonopod. A. mesal view. B. Disto-mesal view. C–D. Paratype, ♂ from Algarve, right gonopods. C. mesal view. D. lateral view.
Fig. 9 in Revision of the genus Ommatoiulus Latzel, 1884 (Julida, Diplopoda) in Portugal, with description of six new species
Fig. 9. Ommatoiulus denticulatus sp. nov. Holotype ♂. A. Head and anteriormost body-rings, lateral view. B. Telson, lateral view. C. Right gonopod, lateral view. D. Right gonopod, mesal view. E. Right gonopod, posterior view. F. Right gonopod, postero-lateral view.
Fig. 8 in Revision of the genus Ommatoiulus Latzel, 1884 (Julida, Diplopoda) in Portugal, with description of six new species
Fig. 8. Ommatoiulus camurus sp. nov. Holotype ♂, gonopods. A. Right promerite, posterior view. B–D. Right posterior gonopod: B. Mesal view. C. Posterior view. D. Lateral view.
Fig. 25. First leg pair. A in Revision of the genus Ommatoiulus Latzel, 1884 (Julida, Diplopoda) in Portugal, with description of six new species
Fig. 25. First leg pair. A. Ommatoiulus alacygni sp. nov. B. O. andalusius (Attems, 1927). C. O. camurus sp. nov. D. O. denticulatus sp. nov. E. O. litoralis sp. nov. F. O. porathi (Verhoeff, 1893). G. O. staglae sp. nov.. H. O. stellaris sp. nov. Scale bars 0.1 mm.
Fig. 18 in Revision of the genus Ommatoiulus Latzel, 1884 (Julida, Diplopoda) in Portugal, with description of six new species
Fig. 18. Ommatoiulus porathi (Verhoeff, 1893). A–B. Holotype ♂, Verhoeff's slide preparation 1190, (ZMB). A. Right promerite, posterior view. B. Posterior gonopods. C–D. ♂ from Viseu, (NHMW 8736). C. Head and anterior rings, lateral view. D. Gonopods, posterior view.
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Portugal
<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 – National Institute of Health Doutor Ricardo Jorge</p> <p>OCC-CHEMMON2021 – National Institute of Health Doutor Ricardo Jorge</p> <p>OCC-CHEMMON2022 – National Institute of Health Doutor Ricardo Jorge</p> <p>OCC-CHEMMON2023 – National Institute of Health Doutor Ricardo Jorge</p> <p>OCC-CHEMMON2024 – National Institute of Health Doutor Ricardo Jorge</p>
Text-fig. 9. Phylogenetic tree indicating the number of required character state changes (steps) under parsimony for various positions of Miranthus gen. nov. in a molecular based backbone tree (see material and methods for additional details). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 9. Phylogenetic tree indicating the number of required character state changes (steps) under parsimony for various positions of Miranthus gen. nov. in a molecular based backbone tree (see material and methods for additional details).
A dataset of seabird collision and displacement vulnerability factors relatively to marine wind farms in Portugal
<p>The implementation of marine wind farms has grown considerably along northern European's northern Atlantic coasts (e.g. Baltic and North Sea) and a boom in these infrastructures is expected to take place along Europe's entire Atlantic and Mediterranean coasts. Accordingly, the Portuguese government has recently proposed priority sites for the construction of wind farms along the mainland coast. We used sensitivity mapping (Garthe & Hüppop, 2004) to assess which areas along the Portuguese coast are most sensitive for seabirds and to what extent the proposed sites for wind farm construction overlap with these areas.</p><p>This dataset contains the base data to estimate a seabird Species Sensitivity Index (SSI) (following Bradbury et al., 2014, Certain et al., 2015), including scores for 11 species-specific ecological and behavioural factors related with seabird species' (i) vulnerability to collision with wind farms (4 factors), (ii) vulnerability to displacement due to disturbance by wind farms and associated maintenance (3 factors), and (iii) conservation status (4 factors). </p><p>We reviewed the literature to mine and compile data on these factors for 34 seabird species that regularly occur along the Portuguese mainland coast. We updated factor scores, particularly for those factors that have been studied in greater detail in recent years using tracking technologies (Clairbaux & Jessopp, 2021). However, in many cases empirical data were unavailable and we used the scores presented in previous sensitivity mapping studies (Garthe & Hüppop, 2004; Bradbury et al., 2014; Certain et al., 2015; Wade et al., 2016; Serratosa & Allinson, 2022).</p>
Diet of Curruca melanocephala in north Portugal
<p>Metadata of foraging interaction between Sardinian Warblers and animal and plant prey items in north Portugal. Data was obtained through DNA metabarcoding analysis using the primers <span>FwhF2-R2n</span> and <span>UniPlantF-R. Contains the diet of 234 individuals sampled across 12 months and four sites. It includes the code to replicate the methods described in the article "</span><em><span>DNA metabarcoding, diversity partitioning and null models reveal mechanisms of seasonal trophic specialisation in a Mediterranean warbler</span></em><span>" currently in the process of publishing.</span><span><br></span></p>
Fig. 6 in New information on ornithopod dinosaurs from the Late Jurassic of Portugal
Fig. 6. Dorsal vertebrae Ankylopollexia indet. from the Lourinhã municipality, Portugal, Lourinhã Formation, Kimmeridgian–Tithonian. A. Partial neural arch, ML 864 in anterior (A1), posterior (A2), lateral (A3), and dorsal (A4) views. B, C. Dorsal vertebrae, ML 452a, complete (B) and ML 452b, incomplete (C) specimens, in anterior (B1, C1), posterior (B2, C2), lateral (B3, C3), dorsal (B4, C4), and ventral (digitally modified) (B5, C5) views.
Fig. 4 in New information on ornithopod dinosaurs from the Late Jurassic of Portugal
Fig. 4. Limb bones of Dryosauridae indet. from the Lourinhã municipality, Portugal, Lourinhã Formation, Kimmeridgian–Tithonian. A, B. Femur, ML 2055 (A), ML 563 (B), in anterior (A1, B1), lateral (A2, B2), medial (A3, B3), posterior (A4, B4), distal (A5, B5), and proximal (A6, B6) views. C, D. Tibia, ML 2055 associated to femur ML 2055 (C), ML 505 (D), in anterior (C1, D1), lateral (C2, D2), posterior (C3, D3), medial (C4, D4), proximal (D5), and distal (C5, D6) views.
Fig. 8 in New information on ornithopod dinosaurs from the Late Jurassic of Portugal
Fig. 8. Ankylopollexian appendicular skeleton from the Lourinhã municipality, Portugal, Lourinhã Formation, Kimmeridgian–Tithonian. Coracoid ML 2206 (A), scapula ML 2042 (B), in lateral (A1, B1) and medial (A2, B2) views.
Fig. 7 in New information on ornithopod dinosaurs from the Late Jurassic of Portugal
Fig. 7. Comparative dorsal vertebrae table of selected Ankylopollexians from the Late Jurassic and Early Cretaceous. A, B. Ankylopollexia indet. Lourinhã municipality, Portugal, Lourinhã Formation, Kimmeridgian–Tithonian. A. ML 452 in lateral view (A1, A2). B. ML 864 in right lateral view. C. "Uteodon" SHN.LPP 015 in left lateral view; Praia da corva, Torres Vedras Municipality, Portugal, Lourinhã Formation (Kimmeridgian–Tithonian). D. "Uteodon" aphanoecetes CM 11337 in left lateral view; East end of Carnegie Quarry at Dinosaur National Monument, Uintah County, Utah (USA), Morrison Formation (Kimmeridgian–Tithonian). E. Camptosaurus dispar (unnumbered specimen) in left lateral view; Bone Cabin Quarry, Wyoming USA), Morrison Formation (Kimmeridgian–Tithonian). F. "Cumnoria" prestwichii OUM. J.3303 in lateral view; Oxford, UK, Kimmeridge Clay Formation (Kimmeridgian–Tithonian). G. Hippodraco scutodens UMNH VP 20208 in left lateral view; Andrew's Site, Grand County, Utah; Upper Yellow Cat Memberof the Cedar Mountain Formation (upper Barremian–lowermost Aptian). H. Iguanacolossus fortis UMNH VP 20205 in right lateral view; Don's Ridge, Grand County, Utah, Lower Yellow Cat Member, Cedar Mountain Formation (?lower Barremian). I. Mantellisaurus atherfieldensis IRSNB 1551 in left lateral view; Isle of Wight, Wessex Formation (Barremian). J. Barilium dawsoni NHMUK R798 in left lateral view; Shornden, East Sussex, UK, Wadhurst Clay Formation (Valanginian). K. Hypselospinus fittoni NHMUK R604 in lateral view; Shornden Quarry, Hastings, UK, Wadhurst Clay Formation (Valanginian). L. Iguanodon bernissartensis IRSNB "Individu S" in left lateral view; Bernissart, Belgium, Sainte Barbe Clays Formation Barremian). Abbreviations: dia, diapophysis; par, parapophysis. Scale bars 100 mm. Re-drawn from: C, Escaso 2014: fig. 6.5; D, Carpenter and Wilson 2008: fig. 11; E, Carpenter and Galton 2018: fig. 22D; F, Galton and Powell 1980: fig. 4; G, McDonald 2010b: fig. 27; H, McDonald 2010b: fig. 10;, Norman 1980: fig. 37; J, Norman 2011: fig. 4; K, Norman 2015: fig. 22; L, Norman 1980: fig. 31).
Fig. 3 in New information on ornithopod dinosaurs from the Late Jurassic of Portugal
Fig. 3. Axial skeleton elements of Dryosauridae indet. (A, B) from the Lourinhã municipality, Portugal, Lourinhã Formation, Kimmeridgian–Tithonian compared with of Dryosaurus altus (C), Camptosaurus ("Uteodon") aphanoecetes (D), and Mantellisaurus atherfieldensis (E). Dorsal vertebrae: ML 2321a (A) and ML 2321b (B), in dorsal (A1, B1), anterior (A2, B2), lateral (A3, A6, B3, B6), posterior (A4, B4), and ventral (A5, B5) views. Dorsal neural arches: YPM 1876 (C), CM 11337 (D), IRSNB 1551 (E), in dorsal view.
Fig. 2 in New information on ornithopod dinosaurs from the Late Jurassic of Portugal
Fig. 2. Cranial material of Dryosauridae indet. from the Lourinhã municipality, Portugal, Lourinhã Formation, Kimmeridgian–Tithonian. A. ML 1851, parietal in dorsal (A1, A3) and ventral (A2, A4) views. B. ML 768, dentary in lateral (B1), dashed frame indicates area with foramina, dorsal (B2), medial (B3) and ventral (B4) views, detail of dentary tooth (B5).
Vulnerability tools - Maciço Noroeste (Portugal)
<p><span>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for the Maciço Noroeste Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</span></p>
Vulnerability tools - Cordilheira central (Portugal)
<p><span>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for the Cordilheira central Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</span></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.