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Fig. 15 in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)
Fig. 15. Sex ratio in M. daubentonii throughout the year from bats recorded inside Liptsy 1: VIII–V — number of months August to June; n — number of bats.
Fig. 13 in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)
Fig. 13. Bat activity (shown by lines) and relative abundance (shown by bars) during autumn swarming and spring departure periods — an example from Liptsy 1: VIII–V = number of months, August to May; IXs — summer period in September; IXa — autumn period in September; N — number of mist-netting nights; n — total number of bats in each period; Mdau — M. daubentonii; Mdas — M. dasycneme; Paur — P. auritus.
Fig. 14 in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)
Fig. 14. Sex ratio in M. daubentonii and P. auritus in winter in three Liptsy mines (L1, L2 and 3–4): n — number of bats; Mdau — M. daubentonii; Paur — P. auritus.
Fig. 16. Sex ratioin M. daubentonii and P in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)
Fig. 16. Sex ratioin M. daubentonii and P. auritus during autumn swarming and spring departure periods — an example from Liptsy 1 mine: VIII–V — number of months, August to May; n — number of bats; Mdau — M. daubentonii; Paur — P. auritus.
Fig. 10 in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)
Fig. 10. Bat distribution in galleries of different height. An example from Liptsy 1: Mdau — M. daubentonii; Paur — P. auritus.
Fig. 11 in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)
Fig. 11. Bat distribution in crevices or in the open; and on walls or ceilings. An example from Liptsy 1 mine: n — bat number included in each category; Mdau — M. daubentonii; Paur — P. auritus.
Fig. 7 in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)
Fig. 7. Fluctuations in the number of hibernating bats in Liptsy 3–4: n — number of counts; Mdau — M. daubentonii; Mdas — M. dasycneme; Paur — P. auritus. In winter 2004–2005 censuses were not conducted.
Fig. 9 in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)
Fig. 9. Annual fluctuations of bat numbers (shown by lines) and relative abundance (shown by bars) in Liptsy 1: VIII–VI — number of months, August to June; XIa — autumn period in November; XIw — winter period in November; IIIw — winter period in March; IIIs — spring period in March; N — number of counts with bats in each period; n — total number of bats in each period; Mdau — M. daubentoni; Mdas — M. dasycneme; Paur — P. auritus.
Fig. 4 in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)
Fig. 4. Cumulative number of M. daubentonii (MDA) and P. auritus (PAU) in three Liptsy mines (1, 2 and 3–4), for 10 winter seasons (1999–2009) in period of phenological winter: MDA1 (23 counts); PAU1 (17 counts); MDA2 (16 counts); PAU2 (11 counts); MDA3–4 (19 counts); PAU3–4 (7 counts).
Fig. 6 in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)
Fig. 6. Fluctuations in the number of hibernating bats in Liptsy 2: n — number of counts; Mdau — M. daubentonii; Mdas — M. dasycneme; Paur — P. auritus. In winters 2002–2003 and 2004–2005 censuses were not conducted.
Fig. 3 in Contribution To Ecology Of Brandt'S Bat, Myotis Brandtii (Chiroptera, Vespertilionidae) In The North-Eastern Ukraine: Comparison Of Local Summer And Winter Bat Assemblages
Fig. 3. Body mass (g) characteristic of females (F) and (M) of M. brandtii in periods of spring departure April (S_dep) and swarming August (Swarm) from the Tetlega mines (dot — mean value, line — median value, whiskers — min and max values, not filling circles — outliers).
Fig. 2 in Contribution To Ecology Of Brandt'S Bat, Myotis Brandtii (Chiroptera, Vespertilionidae) In The North-Eastern Ukraine: Comparison Of Local Summer And Winter Bat Assemblages
Fig. 2. Forearm length (mm) of females (F) and males (M) of M. brandtii from Tetlega mines (dot — mean value, line — median value, whiskers — min and max values).
Fig. 1 in Contribution To Ecology Of Brandt'S Bat, Myotis Brandtii (Chiroptera, Vespertilionidae) In The North-Eastern Ukraine: Comparison Of Local Summer And Winter Bat Assemblages
Fig. 1. Allocation of M. brandtii (Mbra) and M. daubentonii (Mdau) inside the Tetlega mines from November to April (n — number of counted bats); A — in crevices or open, B — on walls or ceiling.
Fig. 2 in Comparative Aspects Of The Morphogenesis And Morphology Of The Wing Membranes Of Bats (Сhiroptera) And Flying Lemurs (Dermoptera)
Fig. 2. Hand and wing membrane of embryo Cynocephalus variegatus, stage 20. Longitudinal sections. The right forearm. А, D, E, F — x400; B, C — x1000: А — longitudinal (below) and cross-section (from above) of the propatagium skin; B, C — the muscle tubes in the plagiopatagium skin; D — the two row of muscle tubes in the plagiopatagium skin; E, F — the chiropatagium skin. Epidermis (ЕPD), undifferentiated mesenchyme (М), blood vessel and blood capillaries (V and CAP), muscle tubes (MT), muscles (MUS), rudiments of digits I (I) and II (II); IV (IV) and V (V).Stained with Mallory's trichrome.
Fig. 1 in Comparative Aspects Of The Morphogenesis And Morphology Of The Wing Membranes Of Bats (Сhiroptera) And Flying Lemurs (Dermoptera)
Fig. 1. Hand and wing membrane of bats embryos. А, B, C — x400; D — x1000: А — embryo Myotis blythii stage 18. Longitudinal section. The left forelimb bud with metacarpals rudiments: mesenchymal condensations of metacarpal rudiments (Mc), undifferentiated mesenchime (M), epidermis (EPD). Stained with Ehrlich's hematoxylin and eosin; В — embryo Rhinolophus hipposideros stage 20. Cross-section. The wing membrain (uropatagium). The centre of hemopoiesis (G), epidermis (ЕPD), undifferentiated mesenchyme (М), blood vessels (V). Stained with Mallory's trichrome; C — embryo Myotis blythii stage 19. Longitudinal section. The right forearm. Metacarpal rudiments (Mc), digits rudiments (II III, IV, V), epidermis (ЕPD), undifferentiated mesenchyme (М), blood vessels (V). Stained with Ehrlich's hematoxylin and eosin; D — embryo Myotis blythii stage 22. Cross-section of the plagiopatagium skin. The centre of hemopoiesis (G), mesenchyme (М), epidermis (ЕPD). Stained with Ehrlich's hematoxylin and eosin.
Fig. 2 in Some Factors Behind Density Dynamics Of Bat Flies (Diptera, Nycteribiidae) - Ectoparasites Of The Boreal Chiropterans: Omitted Predictors And Hurdle Model Identification
Fig. 2. Observed (bars) and expected (PMF) host infestation by Nycteribiidae bat flies: before/after (top/bottom) host mating; host females/males (left/right). No zero truncation and the used categorisation (pooled both host species and bat flies species) are the reasons of relatively bad fit to Poisson distribution.
Fig. 3 in Some Factors Behind Density Dynamics Of Bat Flies (Diptera, Nycteribiidae) - Ectoparasites Of The Boreal Chiropterans: Omitted Predictors And Hurdle Model Identification
Fig. 3. Observed (all kinds of dots) and expected (lines: y = exp (m+Acos (2pi (x–c)/36 — f) or y = b0exp (–b1x)) seasonal density dynamics of Nycteribiidae bat flies. Filled circles and thin lines — normally infested males; open circles and solid lines — normally infested females; double crosses and dashed lines — super-infested males; crosses and dashed lines — super-infested females. N o t e: Infested host only.
Fig. 1 in Attempt To Define The Complexes Of Bat Ectoparasites In The Boreal Palaearctic Region
Fig. 1. Map of collection localities of bat ectoparasites in the Palaearctic Region. List of collection localities (1–7 — own data; 8–25 — literature data): 1 — Neighborhood of Kiel (Schleswig-Holstein, Germany); 2 — Neighborhood of Gdansk (Pomeranian, Poland); 3 — Old Ladoga gallery (Leningrad region, Russia); 4 — Reserve "Tigirekskiy" (Altai, Russia); 5 — Barsukovskaya cave (Novosibirsk Region, Russia); 6 — Sayano- Shushenskaya State Biosphere Reserve (Krasnoyarsk Territory, Russia); 7 — Uyukskaya basin (Republic of Tuva, Russia); 8 — Neighborhood of Oslo (Norway) (Brinck-Lindroth, Smit, 2007); 9 — Neighborhood of Helsinki (Finland) (Brinck-Lindroth, Smit, 2007); 10 — Neighborhood of Vyborg (Russia) (Brinck-Lindroth, Smit, 2007); 11–12 — Baltic States (Medvedev, Masing, 1987; Stanyukovich, 1990); 13 — Lower Silesia (South- Western Poland) (Haitlinger, 1979); 14 — Bialowieza Primeval Forest (Eastern Poland) (Haitlinger, Ruprecht, 1992); 15 — Kama-Vyatka interfluve (Russia) (Orlova et al., 2011); 16–18 — The Urals (Russia) (Orlova, 2011; Orlova, 2013); 19 — Neighborhood of village Korliki (Khanty-Mansi Autonomous Okrug, Russia) (Orlova et al., 2013); 20–21 — Eastern Kazakhstan (Hurka, 1969; Polkanov, Medvedev, 1997); 22–25 — Russian Far East (Medvedev, 1987; Medvedev et al., 1991).
Present and future distribution of bat hosts of sarbecoviruses: implications for conservation and public health
<p>Global changes in response to human encroachment into natural habitats and carbon emissions are driving the biodiversity extinction crisis and increasing disease emergence risk. Host distributions are one critical component to identify areas at risk of viral spillover, and bats act as reservoirs of diverse viruses. We developed a reproducible ecological niche modelling pipeline for bat hosts of SARS-like viruses (subgenus Sarbecovirus), given that several closely-related viruses have been discovered and sarbecovirus-host interactions have gained attention since SARS-CoV-2 emergence. We assessed sampling biases and modeled current distributions of bats based on climate and landscape relationships and project future scenarios for host hotspots. The most important predictors of species distributions were temperature seasonality and cave availability. We identified concentrated host hotspots in Myanmar and projected range contractions for most species by 2100. Our projections indicate hotspots will shift east in Southeast Asia in locations greater than 2 °C hotter in a fossil-fueled development future. Hotspot shifts have implications for conservation and public health, as loss of population connectivity can lead to local extinctions, and remaining hotspots may concentrate near human populations.</p>
Edge effects and vertical stratification of aerial insectivorous bats across the interface of primary-secondary Amazonian rainforest
<p><span>Edge effects - abiotic and biotic changes associated with habitat boundaries - are key drivers of community change in fragmented landscapes. Their influence is heavily modulated by matrix composition. With over half of the world's tropical forests predicted to become forest edge by the end of the </span><span>century, it is paramount that conservationists gain a better understanding of how tropical biota is impacted by edge gradients. Bats comprise a large fraction of tropical mammalian fauna and are demonstrably sensitive to habitat modification. Yet, </span><span>knowledge about how bat assemblages are affected by edge effects remains scarce</span><span>. Capitalizing on a whole-ecosystem manipulation in the Central Amazon, the aims of this study were to i) assess the consequences of edge effects for twelve aerial insectivorous bat species across the interface of primary and secondary forest and ii) investigate if the activity levels of these species differed between the understory and canopy and if they were modulated by distance from the edge</span><span>. Acoustic surveys were conducted along four 2-km transects each traversing equal parts of primary and ca. 30-year-old secondary forest. Five models were used to assess the changes in the relative activity of forest specialists (three species), flexible forest foragers (three species), and edge foragers (six species). Modelling results revealed no evidence of edge effects, except for forest specialists in the understory. No significant differences in activity were found between the secondary or primary forest but most species exhibited pronounced vertical stratification. Our study highlights that forest specialist bats are more edge-sensitive than both flexible forest and edge foraging bats and suggests that the influence of edge effects on aerial insectivorous bats may exceed 2 km. The absence of pronounced edge effects and the comparable activity levels between primary and old secondary forests indicates that old secondary forest can help ameliorate the consequences of fragmentation on tropical aerial insectivorous bats. </span></p>
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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.