Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,853
datasets available to search
ShareScore release 0.7.1
Dataset results
3,853 results for “russia”
FIGURES 50–55 in Review of the genus Eurygaster (Hemiptera: Heteroptera: Scutelleridae) of Russia
FIGURES 50–55. Female's postgenital segments of Eurygaster. 50—E. austriaca (Schrank, 1776); 51—E. dilaticollis Dohrn, 1860; 52—E. integriceps Puton, 1881; 53—E. laeviuscula Jakovlev, 1886; 54—E. maura (Linnaeus, 1758); 55—E. testudinaria (Geoffroy, 1785).
FIGURES 105–111. Eurygaster sinicus Walker, 1867. 105 in Review of the genus Eurygaster (Hemiptera: Heteroptera: Scutelleridae) of Russia
FIGURES 105–111. Eurygaster sinicus Walker, 1867. 105—Holotype labels; 106—anterior view; 107—head, dorsal view; 108—body, dorsal view; 109–111—aedeagus: 109—dorsal view, 110—dorsolateral view, 111—left lateral view. © The Trustees of the Natural History Museum, London. Photography by Ken Merrifield and Mick Webb.
FIGURES 8–10. The measurement schemes. 8 in Review of the genus Eurygaster (Hemiptera: Heteroptera: Scutelleridae) of Russia
FIGURES 8–10. The measurement schemes. 8—body (A—body length, B—body width, C—head length, D—head width, E—pronotum length, F—pronotum width); 9—head, view from left side (G—eye height, H—buccula height); 10—middle genital plate (I—length, J—width).
FIGURES 21–24. Proislandiana pallida, female from Russia. 21 in A review of the linyphiid spider genus Proislandiana Tanasevitch, 1985 with description of a new high mountainous species from Turkey and Armenia (Araneae: Linyphiidae)
FIGURES 21–24. Proislandiana pallida, female from Russia. 21, Epigynum, ventral. 22, Epigynum lateral. 23, Vulva, ventral. 24, Vulva, dorsal.
FIGURES 6–9. Sugophytichnida pertusura Enushchenko and A in Revision of existing classification of fossil insect feeding traces and description of new ichnotaxa from Middle Jurassic sediments of Eastern Siberia (Russia)
FIGURES 6–9. Sugophytichnida pertusura Enushchenko and A. Frolov, ichnogen., ichnospec. nov. (specimen No Iya -2011- 14/17-2, Holotype): 6, 7—common view of S. pertusura, 8—S. pertusura, confied to the vein of Ginkgo tapkensis, 9—S. pertusura far from the vein of G. tapkensis.
Data from: North Asian Pliocene-Pleistocene beremendiin shrews (Mammalia, Lipotyphla, Soricidae): a description of material from Russia (Siberia), Kazakhstan, and Mongolia and the paleobiology of Beremendia
Beremendiini is an extinct group of soricine shrews that were widely distributed during the Pliocene and Pleistocene. Their occurrence in China has been investigated, but their presence in North Asian regions has remained poorly studied. This paper analyzes 56 fossil remains of Beremendiini collected from 16 early Pliocene to Early Pleistocene localities in Russia (Siberia), Kazakhstan, and Mongolia and shows the presence of two beremendiin species: Beremendia fissidens and Beremendia minor. North Asian Beremendia considerably varies in size and qualitative characteristics, although most of the different states have been identified in European or Chinese specimens. Through the application of geometric morphometric techniques, mandibular shape analyses reveal similarities between the members of the beremendiin genera Peisorex, Beremendia, and Lunanosorex. Shape analyses and comparisons of mandibular characteristics reveal 'trophic' analogies between Beremendia and Blarina members and a new model of 'Mandible Swinging and Sliding' (MSS-model) accounting for the similarities in mandibular morphology with implications for the understanding of the diet of Beremendia.
Supplementary material 3 from: Valuyskikh OE, Teteryuk LV, Pylina YI, Sushentsov OE, Martynenko NA, Shadrin DM (2020) Phylogenetic relationships and status of taxa of Pulsatilla uralensis and P. patens s.str. (Ranunculaceae) in north-eastern European Russia. PhytoKeys 162: 113-130. https://doi.org/10.3897/phytokeys.162.53361
Likelihood and Bayesian Inference phylogenetic tree (matK) of 13 sequences of P. patens s.str. and 16 sequences of P. uralensis
Supplementary material 4 from: Valuyskikh OE, Teteryuk LV, Pylina YI, Sushentsov OE, Martynenko NA, Shadrin DM (2020) Phylogenetic relationships and status of taxa of Pulsatilla uralensis and P. patens s.str. (Ranunculaceae) in north-eastern European Russia. PhytoKeys 162: 113-130. https://doi.org/10.3897/phytokeys.162.53361
Phylogenetic tree (ITS2) constructed using the Maximum Likelihood and Bayesian Inference of the 13 sequences of P. patens s.str. and 15 sequences of P. uralensis
FIGURE 1 in Narrow-winged pyralids (Lepidoptera, Pyraloidea, Pyralidae, Phycitinae) of Leningrad Province and the city of St. Petersburg, Russia
FIGURE 1. Habitat of Ephestia mistralella, Episcythrastis tabidella and Homoeosoma nimbella, dry sandy meadow in environs of Luga (Luga polygon), 24 July 2015.
FIGURE 5 in A new species of Carpenter Moths (Lepidoptera, Cossidae) from Tarbagatai (NE Kazakhstan) and Altai (SW Siberia, Russia) Mountains
FIGURE 5. Genitalia of Dyspessa tristis, male (A); D. saldaitisi, male (B); D. ulula, male (C); D. saissanica, male (D); D. ulgen, male (E) and female (F). Scale bar = 1 mm.
FIGURE 2 in A new species of Carpenter Moths (Lepidoptera, Cossidae) from Tarbagatai (NE Kazakhstan) and Altai (SW Siberia, Russia) Mountains
FIGURE 2. The Bayesian tree of the analyzed samples of the genus Dyspessa, inferred from COI sequences. Numbers at nodes indicate Bayesian posterior probability. Coloured bars (on the left) indicate hypothetical species-level clusters delineated by three different models of ABGD test (Jukes-Cantor (JC69), Kimura (K80), and Simple distance (SD), respectively). Scale bar represents the number of substitutions per site.
FIGURE 1 in A new species of Carpenter Moths (Lepidoptera, Cossidae) from Tarbagatai (NE Kazakhstan) and Altai (SW Siberia, Russia) Mountains
FIGURE 1. Map showing sampling localities of the analyzed specimens of Dyspessa ulgen. The red circle indicates the type locality.
GeoVectors-Russia-location (v0.1)
<p><strong>Description</strong></p> <p>The GeoVectors corpus is a comprehensive large-scale linked open corpus of OpenStreetMap (https://www.openstreetmap.org/) entity embeddings that provides latent representations of over 980 million entities. The GeoVectors capture the semantic and geographic similarities of OpenStreetMap entities and make them directly accessible to machine learning applications. The "-tags" datasets provide embeddings that capture the semantic similarities of OpenStreetMap entities. The "-location" datasets provide the geographic similarities.</p> <p><strong>Contents</strong></p> <p>This dataset was derived from an OpenStreetMap snapshot that was taken on November 10, 2020 (© OpenStreetMap contributors).</p> <p>We provide the GeoVectors in region-specific subsets. This subset contains location-embeddings for the region "Russia" including the following countries:</p> <ul> <li>Russia</li> </ul> <p><strong>File format</strong></p> <p>The embeddings are provided in the tab-separated values (tsv) format. Each row contains the embedding of a single OpenStreetMap entity. The first column contains the OpenStreetMap type and the second column contains the OpenStreetMap id of the respective entity. The type can either be node (n), way (w), or relation (r). The remaining columns represent the dimensions of the embedding space. (See also header.tsv)</p> <p><strong>Further information:</strong></p> <p>For further information, please visit <a href="http://geovectors.l3s.uni-hannover.de">http://geovectors.l3s.uni-hannover.de</a></p> <p><strong>Funding</strong>:</p> <p>This work was partially funded by DFG, German Research Foundation (“WorldKG", DE 2299/2-1), the Federal Ministry of Education and Research (BMBF), Germany (“Simple-ML", 01IS18054), the Federal Ministry for Economic Affairs and Energy (BMWi), Germany (“d-E-mand", 01ME19009B), and the European Commission (EU H2020, “smashHit", grant-ID 871477).</p>
FIGURES 228–247. Male genitalia. 228–233 in Review of the leafhopper genus Anaceratagallia Zachvatkin, 1946 (Homoptera: Auchenorrhyncha: Cicadellidae: Megophthalminae: Agalliini) from Russia, Kazakhstan, and Central Asia
FIGURES 228–247. Male genitalia. 228–233―Anaceratagallia (Anaceratagallia) aciculata, 234–236―A. (A.) kungradica, 237–238―A. (A.) aciculata sensu Khatri et al., 2010, 239–240―A. (A.) seriphidii, holotype, 241–245―A. (A.) acuteangulata, 246–247―A. (Oedicora) kerzhneri. 228, 230, 232, 234, 237, 239, 241–242, 246―penis, lateral view, 229, 231, 233, 235–236, 240, 243–245―male anal collar appendage, 238―end of pygofer lobe and male anal collar appendage, 247―end of pygofer lobe. 234–236―after Dubovsky (1967), 237–238―after Khatri et al. (2010).
FIGURES 204–227. Male genitalia. 204–213 in Review of the leafhopper genus Anaceratagallia Zachvatkin, 1946 (Homoptera: Auchenorrhyncha: Cicadellidae: Megophthalminae: Agalliini) from Russia, Kazakhstan, and Central Asia
FIGURES 204–227. Male genitalia. 204–213―Anaceratagallia (Anaceratagallia) ribauti, 214–227―A. (A.) fragariae. 204, 206, 208, 210, 212, 214, 216, 218, 220, 222, 224, 226―penis, lateral view, 205, 207, 209, 211, 213, 215, 217, 219, 221, 223, 225, 227―male anal collar appendage. 212–213―after Vilbaste (1974), 214–215―after Viraktamath et al. (2012).
FIGURES 163–188. Male genitalia. 163–176 in Review of the leafhopper genus Anaceratagallia Zachvatkin, 1946 (Homoptera: Auchenorrhyncha: Cicadellidae: Megophthalminae: Agalliini) from Russia, Kazakhstan, and Central Asia
FIGURES 163–188. Male genitalia. 163–176―Anaceratagallia (Anaceratagallia) harrarensis, 177–180―A. (A.) pararobusta, 181–182―A. (A.) robusta sensu Khatri et al., 2010, 183–188―A. (A.) frisia. 163, 165, 167, 169, 171, 173, 175, 177, 179, 181, 183, 185, 187―penis, lateral view, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188―male anal col-lar appendage. 173–176―after Mityaev (1969a), 179–180―after Viraktamath (2011), 181–182―after Khatri et al. (2010), 187–188―after Wagner (1939).
FIGURES 189–203 in Review of the leafhopper genus Anaceratagallia Zachvatkin, 1946 (Homoptera: Auchenorrhyncha: Cicadellidae: Megophthalminae: Agalliini) from Russia, Kazakhstan, and Central Asia
FIGURES 189–203. Anaceratagallia (Anaceratagallia) spp., calling signal oscillograms. 189–190―A. (A.) harrarensis, 191193―A. (A.) ribauti, 194–198―A. (A.) fragariae, 199–203―A. (A.) aciculata. Faster oscillograms of the parts of signals indicated as "190", "192–193", "197–198", "200", and "202–203" are given under the same numbers. 194–195, 197―male from Moscow Oblast, locality No. 1 in the list in calling signal description, 196, 198―male from Kazakhstan, ibid., locality No. 2, 199–200, 202―male from Astrakhan Oblast, ibid., locality No. 1, 201, 203―male from Saratov Oblast, ibid., locality No. 2.
FIGURES 118–133 in Review of the leafhopper genus Anaceratagallia Zachvatkin, 1946 (Homoptera: Auchenorrhyncha: Cicadellidae: Megophthalminae: Agalliini) from Russia, Kazakhstan, and Central Asia
FIGURES 118–133. Anaceratagallia (Anaceratagallia) spp., calling signal oscillograms. 118–123―A. (A.) laevis, 124–133A. (A.) camphorosmatis. Faster oscillograms of the parts of signals indicated as "121–123" and "129–133"are given under the same numbers. 118–119, 121–122―male from West Tien Shan, locality No. 1 in the list in calling signal description, 120, 123―male from Batken Oblast, ibid., locality No. 2, 124, 129―male from Saratov Oblast, ibid., locality No. 1, 125, 130―male from Kaskelen River, Southern Kazakhstan, ibid., locality No. 3, 126, 131―male from Zhansagurov, South-eastern Kazakhstan, steppe, ibid., locality No. 9, 127, 132―same locality, male from wet meadow on the riverbank, 128, 133―male from Toktogul Reservoir, Kyrgyzstan, ibid., locality No. 10.
FIGURES 94–117. Male genitalia. 94–103 in Review of the leafhopper genus Anaceratagallia Zachvatkin, 1946 (Homoptera: Auchenorrhyncha: Cicadellidae: Megophthalminae: Agalliini) from Russia, Kazakhstan, and Central Asia
FIGURES 94–117. Male genitalia. 94–103―Anaceratagallia (Anaceratagallia) karakolensis, 104–105―A. (A.) perarmata, 106–117―A. (A.) laevis. 94–98, 102, 104, 106, 108, 110, 112, 114, 116―penis, lateral view, 99–101, 103, 105, 107, 109, 111, 113, 115, 117―male anal collar appendage. 102–103―after Dubovsky (1984), 104–105―after Dlabola (1958), 106–107―af-ter Ribaut (1952).
FIGURES 80–93 in Review of the leafhopper genus Anaceratagallia Zachvatkin, 1946 (Homoptera: Auchenorrhyncha: Cicadellidae: Megophthalminae: Agalliini) from Russia, Kazakhstan, and Central Asia
FIGURES 80–93. Anaceratagallia (Anaceratagallia) spp., calling signal oscillograms. 80–84― A. (A.) estonica, 85–93―A. (A.) chalchica. Faster oscillograms of the parts of signals indicated as "82–84" and "90–93"are given under the same numbers. 85, 90―male from Tyva, locality No. 1 in the list in calling signal description, 86, 91―male from Northern Buryatia, ibid., locality No. 2, 87–89, 92–93―male from Southern Buryatia, ibid., locality No. 3.
ScienceDex guides
Understand access before you commit
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.