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143 results for “Western Palearctic”
Geographical Distribution Maps of Western Palearctic Weevil Taxa
<p>The electronic supplement belongs to the research article Schütte A, Stüben PE, Astrin JJ (2023) Molecular Weevil Identification Project: A Thoroughly Curated Barcode Release of 1300 Western Palearctic Weevil Species (Coleoptera: Curculionoidea) - Biodiversity Data Journal 11.</p> <p>The ZIP file contains 613 distribution maps from Western Palearctic weevil taxa. The distribution maps showing Europe originate from the Curculio Institute's website (www.curci.de). Additional information on distribution range and known synonyms were based on the information from the Löbl catalogs (Löbl & Smetana 2011, Löbl & Smetana 2013). The maximum distribution range of each species was measured in km with Google Earth's ruler function.</p> <p>An unzip software is needed to access the *.JPG files within the *.ZIP file. Microsoft operating systems support *.zip files natively since Windows XP. MAC operating systems offer the "archive utility" to access *.zip files. Android users must install an app like Winzip, WinRAR, or 7ZIP. The iOS 13 operating system and onwards allow unzipping *.zip archives natively (iPhone and iPad). The *.zip filetype support can be installed on Linux operating systems via the terminal command: "sudo apt-get install unzip". Command to unzip: "unzip \*.zip". The *.JPG files can be opened with any picture viewer or internet browser.</p> <p>References<br> Löbl L, Smetana A (2011) Catalogue of the Coleoptera. Vol. 7, Curculionoiodea I, Stenstrup, Apollo Books, 373 pp.<br> Löbl L, Smetana A (2013) Catalogue of the Coleoptera. Vol. 8, Curculionoiodea II, Leiden & Boston, Brill, 700 pp.</p>
Fig. 3. Exeristes spp., male. 1 — E in A Review Of The Genus Exeristes (Hymenoptera, Ichneumonidae, Pimplinae) From Carpathians, With An Illustrated Key To Western Palearctic Species
Fig. 3. Exeristes spp., male. 1 — E. arundinis, habitus (lateral view); 2 — E. longiseta, habitus (lateral view); 3 — E. ruficollis, head and mesosoma (lateral view); 4 — E. roborator, clypeus (frontal view); 5 — E. arundinis, hind tarsus (lateral view); 6 — E. roborator, hind tarsus (lateral view).
Fig. 2. Exeristes spp., female. 1 — E in A Review Of The Genus Exeristes (Hymenoptera, Ichneumonidae, Pimplinae) From Carpathians, With An Illustrated Key To Western Palearctic Species
Fig. 2. Exeristes spp., female. 1 — E. roborator, ovipositor tip (lateral view); 2 — E. longiseta, ovipositor tip (lateral view); 3 — E. arundinis, ovipositor tip (lateral view); 4 — E. denticulator, holotype, ovipositor tip (lateral view); 5 — E. ruficollis, lectotype, ovipositor tip (lateral view); 6 — E. arundinis, fore tarsal claw (lateral view); 7 — E. ruficollis, lectotype, hind femur and tibia (lateral view); 8 — E. denticulator, holotype, hind tibia and tarsus (lateral view); 9 — E. denticulator, holotype, propodeum and tergites I–II of metasoma (dorsal view); 10 — E. roborator, propodeum and tergites I–II of metasoma (dorsal view).
Fig. 1. The Carpathian Exeristes spp. distribution map. Yellow circle — E in A Review Of The Genus Exeristes (Hymenoptera, Ichneumonidae, Pimplinae) From Carpathians, With An Illustrated Key To Western Palearctic Species
Fig. 1. The Carpathian Exeristes spp. distribution map. Yellow circle — E. roborator; red circle — E. longiseta; green circle — E. arundinis.
Figures 6–7 in First report of subfamily Africasiinae (Hydrachnidia: Athienemanniidae) from Western Palearctic based on the description of a new species
Figures 6–7. Photographs of Africasia iranica sp. nov. (female) – 6. Dorsal plate; 7. Ventral plate.
Figures 1–5 in First report of subfamily Africasiinae (Hydrachnidia: Athienemanniidae) from Western Palearctic based on the description of a new species
Figures 1–5. Africasia iranica sp. nov. – 1. Dorsum of idiosoma (female); 2. Venter of idiosoma (female); 3. Palp
Linked collectors and determiners for: Western Palearctic migratory birds in continental Africa.
Natural history specimen data linked to collectors and determiners held within, "Western Palearctic migratory birds in continental Africa". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/84c58b60-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/84c58b60-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/84c58b60-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/84c58b60-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
CO1 Sequences and Material Table of Western Palearctic Weevil Taxa
<p>The ZIP file contains the CO1 sequence dataset and its corresponding material table from the research article:<br> Schütte A, Stüben PE, Astrin JJ (2023) Molecular Weevil Identification Project: A Thoroughly Curated Barcode Release of 1300 Western Palearctic Weevil Species (Coleoptera: Curculionoidea) - <em>Biodiversity Data Journal</em> <strong>11</strong>.</p>
Moonlight synchronous flights across three western palearctic swifts mirror size dependent prey preferences
<p><strong>Abstract</strong></p> <p>Recent studies have suggested the presence of moonlight mediated behaviour in avian aerial insectivores, such as swifts. At the same time swift species also show differences in prey (size) preferences. Here, we use the combined analysis of state-of-the-art activity logger data across three swift species, the Common, Pallid and Alpine swifts, to quantify flight height and activity responses to crepuscular and nocturnal light conditions. Our results show a significant response in flight heights to moonlight illuminance for Common and Pallid swifts, while a moonlight driven response is absent in Alpine swifts. Swift flight responses followed the size dependent altitude gradient of their insect prey. We show a weak relationship between night-time illuminance driven responses and twilight ascending behaviour, suggesting a decoupling of both crepuscular and night-time behaviour. We suggest that swifts optimise their flight behaviour to adapt to favourable night-time light conditions, driven by light responsive and size-dependent vertical insect stratification and weather conditions.</p> <blockquote> <p>You are required to cite both the Zenodo data repository as well as the BioRXiv pre-print when using this data, as:</p> <p>Hufkens et al. 2023. Moonlight synchronous flights across three western palearctic swifts mirror size dependent prey preferences. doi://10.5281/zenodo.7814214</p> <p>Hufkens et al. 2023. Moonlight synchronous flights across three western palearctic swifts mirror size dependent prey preferences. bioRxiv 2023.04.25.538243; doi: https://doi.org/10.1101/2023.04.25.538243</p> </blockquote> <p><strong>Use</strong></p> <p>This is a deposited version of the releases on Github.</p> <p>Either download this Zenodo repository or clone or download the project Github <a href="https://github.com/bluegreen-labs/swift_lunar_synchrony/archive/refs/heads/main.zip">zip file</a>.</p> <pre><code class="language-bash">git clone https://github.com/bluegreen-labs/swift_lunar_synchrony.git</code></pre> <p>Unzip the downloaded data if required. The repository is an `R` project and can be opened in <a href="https://posit.co/download/rstudio-desktop/">RStudio</a>, which will set the correct relative path.</p> <p><strong>Data structure & analysis</strong></p> <p>Analysis data is saved as compressed R serial files (.rds) in the <a href="https://github.com/bluegreen-labs/swift_lunar_synchrony/tree/main/data">`data` folder</a>. Scripts to reproduce the main statistical results are provided in the <a href="https://github.com/bluegreen-labs/swift_lunar_synchrony/tree/main/analysis">`analysis` folder</a>. A matching render of the analysis using the shared data is provided as <a href="http://bluegreen-labs.github.io/swift_lunar_synchrony/">dynamic webpage</a>.</p> <p><strong>Licensing</strong></p> <p>Be mindful of the CC-BY 4.0 license of the data and figures. Reuse is permitted on the condition of proper attribution and documentation of any changes.</p>
Data from: Pyrogeography across the western Palearctic: A diversity of fire regimes
<p>We characterised fire regimes and estimated fire regime parameters (area burnt, size, intensity, season, patchiness, pyrodiversity) at broad spatial scales using remotely sensed individual-fire data. Specifically, we focused on the western part of the Palearctic realm, i.e., Europe, North Africa, and the Near East. We first divided the study area into eight large ecoregions based on their environment and vegetation (ecoregions): Mediterranean, Arid, Atlantic, Mountains, Boreal, Steppes, Continental, and Tundra. Then we intersected each ecoregion with individual-fire data obtained from remote sensing hotspots to estimate fire regime parameters for each environment. This allowed us to compute annual area burnt, fire size, fire intensity, fire season, fire patchiness, fire recurrence, and pyrodiversity for each ecoregion. We then related those fire parameters with the ecoregions' climate and analysed the temporal trends in fire size. The results suggest that fire regime parameters vary across different environments (ecoregions). The Mediterranean had the largest, most intense, and most recurrent fires, but the Steppes had the largest burnt area. Arid ecosystems had the most extended fire season, Tundra had the patchiest fires, and Boreal forests had the earliest fires of the year. The spatial variability in fire regimes was largely explained by the variability of climate and vegetation, with a tendency for greater fire activity in the warmer ecoregions. There was also a temporal tendency for fires to become larger during the last two decades, especially in Arid and Continental environments. In conclusion, fire regime characteristics of each ecoregion are unique, with a tendency for greater fire activity in warmer environments, and for increasingly large fires in recent decades.</p>
The Atlas of mitochondrial genetic diversity for Western Palearctic butterflies
<p>Abstract: Motivation<br>Butterflies represent a model in biology and a flagship group for invertebrate conservation. We provide four new resources for the Western-Palearctic butterflies: 1) An updated checklist comprising 552 species; 2) a curated dataset of 32,129 mitochondrial COI sequences for 532 species, including a de novo reference library for the Maghreb (Morocco and northern Algeria and Tunisia) and Macaronesia (Azores, Madeira and Canary Islands); 3) seven indexes of intraspecific genetic variation (IGV): observed and expected number of haplotypes, haplotype and nucleotide diversity, two fixation indexes, and maximum p-distance; 4) species-level maps illustrating the distribution of COI variability and haplotype networks. The updated checklist will be fundamental for any application dealing with butterfly diversity in Western Palearctic. IGV indexes provide measures for genetic polymorphism and spatial structure and represent proxies for dispersal capacity. These resources will facilitate comparative studies of macrogenetics, will foster integrative taxonomy, and will aid conservation strategies.</p> <p>Main types of variables contained<br>A complete species checklist in table format, 32,129 mitochondrial DNA-barcodes provided with metadata (species membership, WGS84 coordinates, sequence length), and a book in PDF format including the IGV atlas and indexes.</p> <p>Spatial location and grain<br>The checklist encompasses Europe up to Urals in the east, north Macaronesia (Azores, Madeira and Canary Islands), as well as the Maghreb (Morocco and northern Algeria and Tunisia). DNA-barcodes have been retained in the geographic interval of -31.3–67.5 degrees of longitude and 27.5–71.2 degrees of latitude.</p> <p>Time period and grain<br>DNA-barcodes originate from studies published between 1998-2022 and from de novo sequencing of 2,608 specimens done between 2007-2022.</p> <p>Major taxa and level of measurement<br>Butterflies (Lepidoptera, Papilionoidea), analysed from individual to species level.</p> <p>Software format<br>Data and functions to manage the dataset are provided in the iodatabase R package (<a href="https://github.com/leondap/iodatabase" rel="noopener noreferrer">https://github.com/leondap/iodatabase</a>) and in Dryad</p>
The Atlas of mitochondrial genetic diversity for Western Palearctic butterflies
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Data from: Pyrogeography across the western Palearctic: A diversity of fire regimes
Open the record for dataset details and reuse information.
Data from: Postglacial climate changes and rise of three ecotypes of harbor porpoises, Phocoena phocoena, in western Palearctic waters
Despite no obvious barriers to gene flow in the marine realm, environmental variation and ecological specializations can lead to genetic differentiation in highly mobile predators. Here, we investigated the genetic structure of the harbor porpoise over the entire species distribution range in western Palearctic waters. Combined analyses of ten microsatellite loci and a 5,085 bases-pairs portion of the mitochondrial genome revealed the existence of three ecotypes, equally divergent at the mitochondrial genome, distributed in the Black Sea, the European continental shelf waters, and a previously overlooked ecotype in the upwelling zones of Iberia and Mauritania. Historical demographic inferences using Approximate Bayesian Computation (ABC) suggest that these ecotypes diverged during the Last Glacial Maximum (~23–19 kilo-years ago, kyrBP). ABC supports the hypothesis that the Black Sea and upwelling ecotypes share a more recent common ancestor (~14 kyrBP) than either does with the European continental shelf ecotype (~28 kyrBP), suggesting they likely descended from the extinct populations that once inhabited the Mediterranean during the glacial and post-glacial period. We showed that the two Atlantic ecotypes established a narrow admixture zone in the Bay of Biscay during the last millennium, with highly asymmetric gene flow. This study highlights the impacts that climate change may have on the distribution and speciation process in pelagic predators and shows that allopatric divergence can occur in these highly mobile species and be a source of genetic diversity.
Supplemental material to the article 'Are Grey Plovers true Jelly Bon lovers? First record of Grey Plovers (Pluvialis squatarola) deliberately feeding on Barrel Jellyfish (Rhizostoma pulmo) in the Western Palearctic'
<p>Video fragments documenting Grey Plover's feeding behaviour provided as Supplemental material to Ornis Fennica article 'Are Grey Plovers true Jelly Bon lovers? First record of Grey Plovers (<i>Pluvialis squatarola</i>) deliberately feeding on Barrel Jellyfish (<i>Rhizostoma pulmo</i>) in the Western Palearctic' </p><p>Article accepted on 1 December 2023.</p>
Figs 86–99. Aconurella spp., male calling signal oscillograms. 86–95 — A in Contributions to the study of the genus Aconurella Ribaut, 1948 (Homoptera: Auchenorrhyncha: Cicadellidae: Deltocephalinae: Chiasmini) of the Western Palearctic
Figs 86–99. Aconurella spp., male calling signal oscillograms. 86–95 — A. diplachnis; 96–99 — A. sibirica. Faster oscillograms of the parts of signals indicated as "91–95" and "98–99" are given under the same numbers, signal recording localities are given under the oscillograms. Рис. 86–99. Aconurella spp., осциллограммы приЗывных сигналов самцов. 86–95 — A. diplachnis; 96–99 — A. sibirica. Фрагменты сигналов, помеченные цифрами "91–95" и "98–99", представлены при больШей скорости раЗвёртки на осциллограммах под соответствуюЩими номерами, места сбора насекомых длЯ Записи сигналов укаЗаны под осциллограммами.
Figs 70–85. Aconurella spp., male calling signal oscillograms. 70–81 — A in Contributions to the study of the genus Aconurella Ribaut, 1948 (Homoptera: Auchenorrhyncha: Cicadellidae: Deltocephalinae: Chiasmini) of the Western Palearctic
Figs 70–85. Aconurella spp., male calling signal oscillograms. 70–81 — A. prolixa; 82–85 — A. quadrum. Faster oscillograms of the parts of signals indicated as "75–81" and "83–85" are given under the same numbers, signal recording localities are given under the oscillograms. Рис. 70–85. Aconurella spp., осциллограммы приЗывных сигналов самцов. 70–81 — A. prolixa; 82–85 — A. quadrum. Фрагменты сигналов, помеченные цифрами "75–81" и "83–85", представлены при больШей скорости раЗвёртки на осциллограммах под соответствуюЩими номерами, места сбора насекомых длЯ Записи сигналов укаЗаны под осциллограммами.
Figs 51–68 in Contributions to the study of the genus Aconurella Ribaut, 1948 (Homoptera: Auchenorrhyncha: Cicadellidae: Deltocephalinae: Chiasmini) of the Western Palearctic
Figs 51–68. Aconurella spp., pygofer lobe, lateral view. 51–58 — A. prolixa; 59–60 — A. quadrum; 61–64 — A. diplachnis; 65–68 — A. sibirica; the localities are given under the figures. 65 — after Vilbaste [1980], modified. Рис. 51–68. Aconurella spp., долЯ пигофора, вид сбоку. 51–58 — A. prolixa; 59–60 — A. quadrum; 61–64 — A. diplachnis; 65–68 — A. sibirica; места сбора укаЗаны под рисунками. 65 — по: Вильбасте (1980), с иЗменениЯми.
Figs 36–50 in Contributions to the study of the genus Aconurella Ribaut, 1948 (Homoptera: Auchenorrhyncha: Cicadellidae: Deltocephalinae: Chiasmini) of the Western Palearctic
Figs 36–50. Aconurella spp., subgenital plates, valve, and styles, dorsal view. 36–44 — A. prolixa; 45–46 — A. quadrum; 47–49 — A. diplachnis; 50 — A. sibirica; the localities are given under the figures. Рис. 36–50. Aconurella spp., генитальные пластинки, вальва и стилусы, вид сверху. 36–44 — A. prolixa; 45–46 — A. quadrum; 47– 49 — A. diplachnis; 50 — A. sibirica; места сбора укаЗаны под рисунками.
Figs 1–15. Aconurella spp., dorsal habitus. 1–4 — A in Contributions to the study of the genus Aconurella Ribaut, 1948 (Homoptera: Auchenorrhyncha: Cicadellidae: Deltocephalinae: Chiasmini) of the Western Palearctic
Figs 1–15. Aconurella spp., dorsal habitus. 1–4 — A. prolixa; 5–7 — A. quadrum; 8–12 — A. diplachnis; 13–15 — A. sibirica. 1–2, 6, 8–10, 13–14 — males, 3–4, 7, 11–12, 15 — females, 5 — after Herrich-Schäffer [1838]. Рис. 1–15. Aconurella spp., вид сверху. 1–4 — A. prolixa; 5–7 — A. quadrum; 8–12 — A. diplachnis; 13–15 — A. sibirica. 1–2, 6, 8–10, 13–14 — самцы, 3–4, 7, 11–12, 15 — самки, 5 — по: Herrich-Schдffer [1838].
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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.