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Figure 6 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 6. Bivariate plot of the examined samples of the Myotis mystacinus morphogroup from the Caucasus region: results of the principal component analysis of the dimensions and relative dimensions of upper canines and premolars. For explanations see Figure 2.
Figure 2 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 2. Bivariate plot of the examined samples of the Myotis mystacinus morphogroup from the Caucasus region: greatest length of skull (LCr) against the length of the upper tooth-row (CM3). The closed symbols denote specimens identified with the help of genetic analysis (with the exception of M. brandtii, for details see text), open symbols all other specimens (arranged to geographical sets); bold capital letters denote holotype specimens of the following taxa: A – Myotis mystacinus aurascens Kuzâkin, 1935; C – Myotis mystacinus caucasicus Tsytsulina, 2000; M – Myotis meinertzhageni Thomas, 1926; P – Myotis mystacinus popovi Strelkov, 1983; R – Myotis mystacinus pamirensis Kuzâkin, 1935; S – Myotis mystacinus sogdianus Kuzâkin, 1934; T – Myotis mystacinus transcaspicus Ogneff & Heptner, 1928.
Figure 5 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 5. Bivariate plot of the examined samples of the Myotis mystacinus morphogroup from the Caucasus region: results of the principal component analysis of all tooth dimensions and relative dimensions. For explanations see Figure 2.
Figure 4 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 4. Bivariate plot of the examined samples of the Myotis mystacinus morphogroup from the Caucasus region: results of the principal component analysis of all skull dimensions and relative dimensions. For explanations see Figure 2.
Figure 1. Bayesian 50 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 1. Bayesian 50% majority rule consensus tree depicting the phylogenetic relationships in the Myotis mystacinus morphogroup from the Caucasus region and adjacent parts of the Western Palaearctic based on the cytochrome b sequences.
Figure 8 in Distribution and molecular differentiation of Culex pipiens complex species in the Middle and Eastern Black Sea Regions of Turkey
Figure 8. Unrooted haplotype network for CQ11. Each circle represents a haplotype, and lines above each link indicate mutations.
Figure 7 in Distribution and molecular differentiation of Culex pipiens complex species in the Middle and Eastern Black Sea Regions of Turkey
Figure 7. Phylogenetic tree based on a 151-bp region within the CQ11 microsatellite region of Culex pipiens. The tree was constructed using the maximum likelihood method, and bootstrap values are shown as numbers on the tree.
Figure 5. Unrooted haplotype network. Each circle represents a in Distribution and molecular differentiation of Culex pipiens complex species in the Middle and Eastern Black Sea Regions of Turkey
Figure 5. Unrooted haplotype network. Each circle represents a haplotype, and the lines above each link indicate one mutation. Small black dots indicate intermediate, missing, or unsampled haplotypes.
Figure 4 in Distribution and molecular differentiation of Culex pipiens complex species in the Middle and Eastern Black Sea Regions of Turkey
Figure 4. The phylogenetic tree is based on a 651-bp region of the Ace-2 gene from Culex pipiens. The tree was constructed using the maximum likelihood method, and bootstrap values are shown as numbers on the tree.
Distribution of the Natura 2000 habitat type 7220 (Cratoneurion) in Flanders and Brussels Capital Region, Belgium (version 2025)
<p>The dataset is a geospatial collection of points that correspond with the presence or absence of the Natura 2000 habitat type <code>7220</code> (Petrifying springs with tufa formation (<em>Cratoneurion</em>)) in springs and streaming water segments in the Flemish and Brussels Capital Region, Belgium. The dataset also contains a number of locations that were visited during mapping projects but where <code>7220</code> was found absent, or where additional survey is needed to decide on presence/absence of the habittype. The file is a GeoJSON format RFC7946 (WGS84).</p> <p>The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).</p> <p>Headers are: </p> <ul> <li><code>id</code>; </li> <li><code>source</code>: original data source;</li> <li><code>validity status</code>: field inventory carried out (<code>gecontroleerd</code>) or not (<code>niet gecontroleerd</code>);</li> <li><code>name</code>: unique name of the site;</li> <li><code>system_type</code>: stream type (<code>rivulet</code>), mire type (<code>mire</code>), unknown (<code>unknown</code>) or na (<code>NA</code>);</li> <li><code>habitattype</code>: <code>7220</code>, no Natura 2000 type <code>(gh)</code>, unconfirmed <code>7220</code> <code>(7220, gh)</code>, alkaline fen<code>(7230)</code>;</li> <li><code>unit_id</code>: spatially related sites are identified by a common identifier</li> <li><code>area_m2</code>: area in square meters;</li> <li><code>year</code>: year of field inventory;</li> <li><code>sbz</code>: inside (1) or outside (0) special area of conservation;</li> <li><code>geometry</code>: latitude, longitude in decimal degrees.</li> </ul>
Fig. 4 in Diversity And Distribution Of Naked Amoebae In Water Bodies Of Sumy Region (Ukraine)
Fig. 4. Ordination of amoebae species complexes in different water body types by environmental factors (nonparametric multidimensional scaling, MDS).
Fig. 3 in Diversity And Distribution Of Naked Amoebae In Water Bodies Of Sumy Region (Ukraine)
Fig. 3. Similarity of naked amoebae species complexes, according to the Chekanovsky–SØrensen index (cluster probability shown as % at the nodes, bootstrap 1000).
Fig. 2 in Diversity And Distribution Of Naked Amoebae In Water Bodies Of Sumy Region (Ukraine)
Fig. 2. Naked amoebae found in water bodies of the Sumy Region: A — Saccamoeba sp. ×1240; B — Vexillifera sp. ×1240; C, D — Vannella lata ×1240; E — Cochliopodium sp. ×1240; F, G — Pellita digitata ×1240; H — Mayorella vespertilioides ×1240; I — Mayorella sp. ×1240; J, K — Thecamoeba sphaeronucleolus ×1240; L, M, N — Stenamoeba stenopodia ×1240; O, P, Q — Thecamoeba sp. ×1240; R — Acanthamoeba sp. (cysts) ×1240. S, T — Vahlkampfia sp. ×1240.
Fig. 4 in The Amount And Distribution Of The Red Data Book Bird Wetland Species In The Azov-Black Sea Region Of Ukraine According To The Results Of August Counts 2004-2015
Fig. 4. Distribution of wetlands number depending on number of species in them (axis X — number of species, axis Y — number of wetlands).
Fig. 1 in Current Distribution Of The European Grayling, Thymallus Thymallus, And Huchen, Hucho Hucho, In The Transcarpatian Region Of Ukraine
Fig. 1. Distribution of the European grayling, Thymallus thymallus, in the Transcarpatian Region of Ukraine:potential distribution — information obtained from interviewing inspectors of the Transcarpathian Fish Protection Inspection, forestry inspectors, and local people; places of catches — sites, where European grayling were actually caught and/or recorded during scientific surveys, in recreational or poacher's fishing gears.
Fig. 5 in The Amount And Distribution Of The Red Data Book Bird Wetland Species In The Azov-Black Sea Region Of Ukraine According To The Results Of August Counts 2004-2015
Fig. 5. Distribution of wetlands depending on species number (axis X) and average amount of birds in them (axis Y).
Fig. 2 in Current Distribution Of The Introduced Rock Lizards Of The Darevskia (Saxicola) Complex (Sauria, Lacertidae, Darevskia) In Zhytomyr Region (Ukraine)
Fig. 2. List and location of the studied sites: 1 — cliffs to east of the resort Denyshy (28.39 E, 50.20 N); 2 — dam across the Teteriv River near the resort Denyshy (28.38 E, 50.20 N); 3 — river bank to the west from the UVD resort (mouth of the Bobrovka River; 28.36 E, 50.21 N); 4 — bridge over the Bobrovka River (28.36 E, 50.21 N); 5 — bay in Buky Village (28.36 E, 50.20 N); 6 — cape in Buky Village (28.35 E, 50.19 N); 7 — cliffs between Buky Village and country houses (28.34 E, 50.19 N); 8 — river bank in Rudnya-Nova Village (28.30 E, 50.19 N); 9 — cape in Rudnya-Nova Village (28.32 E, 50.19 N); 10 — bridge over the Glubochok River (28.36 E, 50.18 N); 11 — river bank in Tryhirya Village (28.37 E, 50.19 N); 12 — right bank of the Teteriv River near dam (28.38 E, 50.20 N). Sites were lizards were found are marked by black color.
Fig. 1 in Current Distribution Of The Introduced Rock Lizards Of The Darevskia (Saxicola) Complex (Sauria, Lacertidae, Darevskia) In Zhytomyr Region (Ukraine)
Fig. 1. Chronological scheme and changes in the number of rock lizards Darevskia (saxicola) near Denyshy Village (after Darevsky, Shcherbak, 1968; Dotsenko, Darevsky, 2005; Darevsky, 2006): arm — D. armeniaca, dahl — D. dahli and mix — D. mixta, — introduction.
Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7). in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7).
Рис. 9. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста в прироΑном парке «Шереметьевский» в 2018 г. Fig. 9. Distribution of nests of the Oriental White Stork in the Sheremetyevsky Nature Park in 2018 in The number and distribution of the Oriental White Stork Ciconia boyciana Swinhoe, 1873 in the Khabarovskiy Region
Рис. 9. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста в прироΑном парке «Шереметьевский» в 2018 г. Fig. 9. Distribution of nests of the Oriental White Stork in the Sheremetyevsky Nature Park in 2018
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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.