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1,473 results for “Geographic distribution”
Figs. 12–15. Bryothinusa hauseri Ashe, n in A New Species of the Intertidal Staphylinid Genus Bryothinusa Casey from Malaysia, with an Overview of Geographic Distribution and an Annotated Catalog of Bryothinusa (Staphylinidae: Aleocharinae: Myllaenini)
Figs. 12–15. Bryothinusa hauseri Ashe, n. sp. 12) Posterior tarsus; 13) paramere of aedeagus;
Fig. 1. Bryothinusa hauseri Ashe, n in A New Species of the Intertidal Staphylinid Genus Bryothinusa Casey from Malaysia, with an Overview of Geographic Distribution and an Annotated Catalog of Bryothinusa (Staphylinidae: Aleocharinae: Myllaenini)
Fig. 1. Bryothinusa hauseri Ashe, n. sp., habitus, length ¼ 2.6 mm.
Geographic range estimates and environmental requirements for the harpy eagle derived from spatial models of current and past distribution
<p>Understanding species-environment relationships is key to defining the spatial structure of species distributions and develop effective conservation plans. However, for many species this baseline information does not exist. With reliable presence data, spatial models that predict geographical ranges and identify environmental processes regulating distribution are a cost-effective and rapid method to achieve this. Yet these spatial models are lacking for many rare and threatened species, particularly in tropical regions. The harpy eagle (<i>Harpia harpyja</i>) is a Neotropical forest raptor of conservation concern with a continental distribution across lowland tropical forests in Central and South America.Currently the harpy eagle faces threats from habitat loss and persecution and is categorised as Near-Threatened by the International Union for the Conservation of Nature (IUCN). Within a point process modelling (PPM) framework, we use presence-only occurrences with climatic and topographical predictors to estimate current and past distributions and define environmental requirements using Ecological Niche Factor Analysis. The current PPM prediction had high calibration accuracy (Continuous Boyce Index = 0.838) and was robust to null expectations (pROC ratio = 1.407). Three predictors contributed 96 % to the PPM prediction, with Climatic Moisture Index the most important (72.1 %), followed by minimum temperature of the warmest month (15.6 %) and Terrain Roughness Index (8.3 %). Assessing distribution in environmental space confirmed the same predictors explaining distribution, along with precipitation in the wettest month. Our reclassified binary model estimated a current range size 11 % smaller than the current IUCN range polygon. Paleoclimatic projections combined with the current model predicted stable climatic refugia in the central Amazon, Guyana, eastern Colombia, and Panama. We propose a data-driven geographical range to complement the current IUCN range estimate, and that despite its continental distribution this tropical forest raptor is highly specialized to specific environmental requirements.</p> <p> </p>
Fig. 1. GeneralHabitusofaspecimenof Nemognathaplaumanni BorcHmann, 1942 in On The Geographic Distribution Of Nemognatha Plaumanni Borchmann, 1942 (Coleoptera: Meloidae): New Records From Venezuela, With A 4500 Km Range Extension
Fig. 1. GeneralHabitusofaspecimenof Nemognathaplaumanni BorcHmann, 1942, fromtHe speciestypelocalityinNovaTeutônia (Brasil) [HNHM].
Fig. 4 in The Alternative Distribution Of Related Earthworms Aporrectodea Caliginosa And A. Trapezoides (Oligochaeta, Lumbricidae) In Ukraine As A Case Of Geographical Parthenogenesis
Fig. 4. Changes in the proportion of A. trapezoides in A. caliginosa s. l. sample sets depending on geographical latitude.
FIGURE 1 in Geographical and ecological distribution of native bamboo species in San Luis Potosí, Mexico
FIGURE 1. Map of the native bamboo species in the Huasteca Potosina
FIGURE 3 in Typification and data on geographic distribution of Scrophularia incisa (Scrophulariaceae)
FIGURE 3. Distribution map of Scrophularia incisa.
FIGURE 2 in Typification and data on geographic distribution of Scrophularia incisa (Scrophulariaceae)
FIGURE 2. Lectotype of Scrophularia incisa: specimen LE 01009590!.
FIGURE 1 in Typification and data on geographic distribution of Scrophularia incisa (Scrophulariaceae)
FIGURE 1. Label written by Ledebour from specimen LE 01009590!.
FIGURE 16 in Clarification of morphological characters and geographical distribution of Artemisia neosinensis (Asteraceae, Anthemideae), a strikingly misunderstood species from China
FIGURE 16. Syntype sheets of Artemisia tainingensis.
Fig. 5 in A new species of Acantholeberis (Crustacea, Branchiopoda) suggests an ancient geographic distribution of the genus in South America
Fig. 5. Acantholeberis accolismaris Sousa, Elmoor-Loureiro & Álvarez-Silva sp. nov., parthenogenetic female from Jurubatiba National Park.A. Habitus.B. Head.C. Antennule.D–H. Antennule ornamentation (arrows show teeth organized in groups). I. Antenna. J–K. Antenna in lateral view, showing its base and first exopodite segment. L–O. Antennal setae. P–Q. Maxilla (arrow shows the short crown-like seta). Scale bars: A–B, I = 100 µm; C–H, J–Q = 10 µm.
Fig. 3 in A new species of Acantholeberis (Crustacea, Branchiopoda) suggests an ancient geographic distribution of the genus in South America
Fig. 3. Acantholeberis accolismaris Sousa, Elmoor-Loureiro & Álvarez-Silva sp. nov., parthenogenetic female from the Planície Costeira, Rio Grande do Sul (FDRS0696). A. First limb. B. Idem, endites and stiff setae. C. Idem, morphology of stiff setae of endites. D. Inner distal lobe and outer distal lobe. E. Second limb. F. Idem, gnathobase. G. Idem, comparative system of proportion of scrapers, white circles represent A. smirnovi Paggi & Herrera-Martinez, 2020 and black circles represent A. accolismaris sp. nov. H. Third limb. I–J. Idem, distal endite, arrow indicating the posterior seta. K. Idem, ganathobase. L. Fourth limb. M. Idem, seta 1 of distal endite. N. Fifth limb. O. Idem, inner lobe. P. Sixth limb.
Geographic range maps for Mammal Diversity Database v1.2 taxonomy from "Expert range maps of global mammal distributions harmonised to three taxonomic authorities"
<p>Data mirroring for long-term integrity of these critical geospatial resources. Included here are expert geographic range maps aligned to the taxonomy of the Mammal Diversity Database (MDD) version 1.2, which was published on 24 Sept 2020 https://zenodo.org/record/4139818. That taxonomy includes 6,485 total species, of which 103 are considered recently extinct, 20 are considered domestic extant, and 6,362 are considered wild extant (this corrects for 1 species, <em>Capra hircus</em>, that was incorrectly coded as 'domestic=0' rather than 'domestic=1' in the MDD v1.2). For this mapping project, only 6,362 species from MDD v1.2 have maps -- this total:</p> <ul> <li>excludes all extinct and domestic species;</li> <li>excludes 2 species for which no spatial information was available (<em>Nycticeius aenobarbus</em> and <em>Phoniscus aerosus</em>); and</li> <li>includes 2 species<em> </em>(<em>Elaphurus davidianus</em> and <em>Oryx dammah</em>) that are extinct in the wild (EW) in IUCN, have recent range information and were included in the MDD as extant.</li> </ul> <p><strong>### File inventory ###</strong></p> <ul> <li>Order-level zipped files (27 total), one for each extant order of mammals, unzips to geopackage (*.gpg) format;</li> <li>Mammalia-wide zipped file (1: "MDD_Mammalia.zip"), includes maps for all 27 orders, unzips to gpg format;</li> <li>Full taxonomy for MDD v1.2 (as published on https://zenodo.org/record/4139818) in csv format ("MDD_v1.2_all_6485species.csv"); and</li> <li>Subset of MDD v1.2 taxonomy for which range maps are here provided (6,362 species) in csv format ("mdd_spList_wFamilieswOrders_mapped_6362species.csv").</li> </ul> <p><br> <strong>### Full citation ###</strong></p> <p>Marsh, C.J., Sica, Y.V., Burgin, C.J., Dorman, W.A., Anderson, R.C., del Toro Mijares, I., Vigneron, J.G., Barve, V., Dombrowik, V.L., Duong, M., Guralnick, R., Hart, J.A., Maypole, J.K., McCall, K., Ranipeta, A., Schuerkmann, A., Torselli, M.A., Lacher Jr, T., Mittermeier, R.A., Rylands, A.B., Sechrest, W., Wilson, D.E., Abba, A.M., Aguirre, L.F., Arroyo-Cabrales, J., Astúa, D., Baker, A.M., Braulik, G., Braun, J.K., Brito, J., Busher, P.E., Burneo, S.F., Camacho, M.A., Cavallini, P., de Almeida Chiquito, E., Cook, J.A., Cserkész, T., Csorba, G., Cuéllar Soto, E., da Cunha Tavares, V., Davenport, T.R.B., Deméré, T., Denys, C., Dickman, C.R., Eldridge, M.D.B., Fernandez-Duque, E., Francis, C.M., Frankham, G., Franklin, W.L., Freitas, T., Friend, J.A., Gadsby, E.L., Garbino, G.S.T., Gaubert, P., Giannini, N., Giarla, T., Gilchrist, J.S., Gongora, J., Goodman, S.M., Gursky-Doyen, S., Hackländer, K., Hafner, M.S., Hawkins, M., Helgen, K.M., Heritage, S., Hinckley, A., Hintsche, S., Holden, M., Holekamp, K.E., Honeycutt, R.L., Huffman, B.A., Humle, T., Hutterer, R., Ibáñez Ulargui, C., Jackson, S.M., Janecka, J., Janecka, M., Jenkins, P., Juškaitis, R., Juste, J., Kays, R., Kilpatrick, C.W., Kingston, T., Koprowski, J.L., Kryštufek, B., Lavery, T., Lee Jr, T.E., Leite, Y.L.R., Novaes, R.L.M., Lim, B.K., Lissovsky, A., López-Antoñanzas, R., López-Baucells, A., MacLeod, C.D., Maisels, F.G., Mares, M.A., Marsh, H., Mattioli, S., Meijaard, E., Monadjem, A., Morton, F.B., Musser, G., Nadler, T., Norris, R.W., Ojeda, A., Ordóñez-Garza, N., Pardiñas, U.F.J., Patterson, B.D., Pavan, A., Pennay, M., Pereira, C., Prado, J., Queiroz, H.L., Richardson, M., Riley, E.P., Rossiter, S.J., Rubenstein, D.I., Ruelas, D., Salazar-Bravo, J., Schai-Braun, S., Schank, C.J., Schwitzer, C., Sheeran, L.K., Shekelle, M., Shenbrot, G., Soisook, P., Solari, S., Southgate, R., Superina, M., Taber, A.B., Talebi, M., Taylor, P., Vu Dinh, T., Ting, N., Tirira, D.G., Tsang, S., Turvey, S.T., Valdez, R., Van Cakenberghe, V., Veron, G., Wallis, J., Wells, R., Whittaker, D., Williamson, E.A., Wittemyer, G., Woinarski, J., Zinner, D., Upham, N.S., Jetz, W., 2022. Expert range maps of global mammal distributions harmonised to three taxonomic authorities. Journal of Biogeography 49 (5): 979-992. <a href="https://doi.org/10.1111/jbi.14330">https://doi.org/10.1111/jbi.14330</a><br> </p> <p><strong>###</strong><strong> Data downloads on Map of Life ###</strong></p> <p>All range maps for the three taxonomic sources are openly available for non-commercial use through https://mol.org/datasets or at species-level at https://mol.org/species, or for bulk download at https://doi.org/10.48600/mol-7r3j-8066 (HMW), https://doi.org/10.48600/mol-zzrs-q778 (CMW) and https://doi.org/10.48600/mol-48vz-p413 (MDD).</p> <p> </p> <p><strong>###</strong><strong> Abstract ###</strong></p> <p><strong>Aim: </strong> Comprehensive, global information on species' occurrences is an essential biodiversity variable and central to a range of applications in ecology, evolution, biogeography and conservation. Expert range maps often represent a species' only available distributional information and play an increasing role in conservation assessments and macroecology. We provide global range maps for the native ranges of all extant mammal species harmonised to the taxonomy of the Mammal Diversity Database (MDD) mobilised from two sources, the <em>Handbook of the Mammals of the World</em> (HMW) and the <em>Illustrated Checklist of the Mammals of the World</em> (CMW).</p> <p><strong>Location: </strong> Global.</p> <p><strong>Taxon: </strong> All extant mammal species.</p> <p><strong>Methods: </strong> Range maps were digitally interpreted, georeferenced, error-checked and subsequently taxonomically aligned between the HMW (6253 species), the CMW (6431 species) and the MDD taxonomies (6362 species).</p> <p><strong>Results: </strong> Range maps can be evaluated and visualised in an online map browser at Map of Life (mol.org) and accessed for individual or batch download for non-commercial use.</p> <p><strong>Main conclusion: </strong> Expert maps of species' global distributions are limited in their spatial detail and temporal specificity, but form a useful basis for broad-scale characterizations and model-based integration with other data. We provide georeferenced range maps for the native ranges of all extant mammal species as shapefiles, with species-level metadata and source information packaged together in geodatabase format. Across the three taxonomic sources our maps entail, there are 1784 taxonomic name differences compared to the maps currently available on the IUCN Red List website. The expert maps provided here are harmonised to the MDD taxonomic authority and linked to a community of online tools that will enable transparent future updates and version control.</p> <p><strong>Keywords: </strong> GIS; Mammalia; biodiversity; biogeography; conservation planning; mapping; species distributions.</p>
Fig. 11 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 11. Female genitalia (without the anal papillae, copulatory bursa, and anterior and posterior apophyses). A–C. Melitaea timandra timandra Coutsis & van Oorschot, 2014, S Turkmenistan, SaryYazy, alt. 300 m. D–I. M. timandra binaludica subsp. nov. D–F. Iran, Rezavi Khorassan Prov., Kuh-eBinalud Mts, Dorrud v. vicinity, alt. 2430 m. G–H. Iran, Mazandaran Prov., S macroslopes of Albors Mts, 80 km SE of Sari, 5 km NE of Foulad Mahhaleh v., E slopes of Sultan Kuh Mt., alt. 2000 m. I. Afghanistan, Bamian Prov., Band-e-Amir, alt. 3200 m.
FIGURE. Known geographical distribution of Callilepis laureola var. laureola. in A taxonomic revision of the genus Callilepis (Asteraceae) in South Africa
FIGURE. Known geographical distribution of Callilepis laureola var. laureola.
FIGURE. Known geographical distribution of Callilepis leptophylla. in A taxonomic revision of the genus Callilepis (Asteraceae) in South Africa
FIGURE. Known geographical distribution of Callilepis leptophylla.
FIGURE. Geographic distribution of Lobelia alanae M.A. Pérez-Pérez & T. Ayersin Mexico in A new species of Lobelia (Campanulaceae: Lobelioideae) from the Sierra Madre Oriental, Mexico
FIGURE. Geographic distribution of Lobelia alanae M.A. Pérez-Pérez & T. Ayersin Mexico
Figure 10 from: Bogutskaya NG, Zupančič P, Jelić D, Diripasko OA, Naseka AM (2017) Description of a new species of Alburnus Rafinesque, 1820 (Actinopterygii, Cyprinidae, Leuciscinae) from the Kolpa River in the Sava River system (upper Danube drainage), with remarks on the geographical distribution of shemayas in the Danube. ZooKeys 688: 81-110. https://doi.org/10.3897/zookeys.688.11261
Figure 10 - Result of DFA performed on 19 (4 meristic and 15 morphometric) most contributing characters to discriminate A. sava sp. n., A. mento, and A. sarmaticus + A. leobergi.
Figure 4 from: Bogutskaya NG, Zupančič P, Jelić D, Diripasko OA, Naseka AM (2017) Description of a new species of Alburnus Rafinesque, 1820 (Actinopterygii, Cyprinidae, Leuciscinae) from the Kolpa River in the Sava River system (upper Danube drainage), with remarks on the geographical distribution of shemayas in the Danube. ZooKeys 688: 81-110. https://doi.org/10.3897/zookeys.688.11261
Figure 4 - Map of distribution of shemayas in the Danube drainage: A. mento, A. sava sp. n., distribution of potamadromous shemaya (supposedly A. sava sp. n.), anadromous A. sarmaticus and/or A. danubicus.
Figure 1 from: Bogutskaya NG, Zupančič P, Jelić D, Diripasko OA, Naseka AM (2017) Description of a new species of Alburnus Rafinesque, 1820 (Actinopterygii, Cyprinidae, Leuciscinae) from the Kolpa River in the Sava River system (upper Danube drainage), with remarks on the geographical distribution of shemayas in the Danube. ZooKeys 688: 81-110. https://doi.org/10.3897/zookeys.688.11261
Figure 1 - Alburnus sava sp. n., a MNCN 291345, holotype, 173.6 mm SL, before preservation b MNCN 291345, paratype, 151.5 mm SL, formaldehyde-preserved specimen.
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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.