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Fig. 12. Distribution maps. A–B. Hipposideros camerunensis Eisentraut, 1956. C–D in The bats of the Congo and of Rwanda and Burundi revisited (Mammalia: Chiroptera)
Fig. 12. Distribution maps. A–B. Hipposideros camerunensis Eisentraut, 1956. C–D. Hipposideros fuliginosus (Temminck, 1853). E–F. Hipposideros ruber (Noack, 1893). A, C, E. Distribution in the CRB area. B, D, F. Pan-African distribution.
Ecological niche models for American black bear, Rafinesque's big-eared bat, and timber rattlesnake
<p>This data set contains rasters that are predictive environmental suitability maps for three wildlife species: the American black bear (<i>Ursus americanus</i>), Rafinesque's big-eared bat (<i>Corynorhinus rafinesquii</i>), and Timber rattlesnake (<i>Crotalus horridus</i>). Rasters for each species include: individual prediction maps for each of 5 ENMs (GBM: generalized boosting model, GLM: generalized linear model, MARS: multivariate adaptive regression spline, MX: maximum entropy, and RF: random forest), as well as the ensemble prediction map from all five ecological niche models (ENMs).</p>
Least-cost habitat linkages for American black bear, Rafinesque's big-eared bat, and timber rattlesnake.
<p>This data set contains 3 shapefiles and associated files that map linkages, which are least-cost paths between adjacent habitat cores for three wildlife species in the Southeastern U.S. The species are: the American black bear (Ursus americanus), Rafinesque's big-eared bat (Corynorhinus rafinesquii), and Timber rattlesnake (Crotalus horridus). We mapped habitat cores based on c. 2006 land cover, then used LinkageMapper software to identify least-cost paths between them, and buffered the least-cost paths by 2.5 km using ArcGIS, for a total width of 5 km. The buffered least-cost paths are the linkages provided here. The attribute tables for these shapefiles contain fields that describe the importance of each linkage to the overall habitat connectivity network, contemporary and future average modeled habitat suitability within the linkage, change in average proportion suitable, percent of urban land within the linkage, percent of linkage that is protected for conservation, and categorical values for climate threat, whether the linkage was designated as highly important, protection status, and future urbanization threat.</p>
Data from: Fluorescent biomarkers demonstrate prospects for spreadable vaccines to control disease transmission in wild bats
Vaccines that autonomously transfer among individuals have been proposed as a strategy to control infectious diseases within wildlife populations. However, understanding rates of spread and epidemiological efficacy in real world systems remain elusive. Here, we investigated whether topical vaccines that transfer among bats through social contacts can control vampire bat rabies, a medically and economically important zoonosis in Latin America. Field experiments in 3 Peruvian bat colonies which used fluorescent biomarkers as a proxy for the bat-to-bat transfer and ingestion of an oral vaccine revealed that vaccine transfer would increase population-level immunity up to 2.6 times beyond the same effort using conventional, non-spreadable vaccines. Mathematical models demonstrated that observed levels of vaccine transfer would reduce the probability, size, and duration of rabies outbreaks, even at low, but realistically achievable levels of vaccine application. Models further predicted that existing vaccines provide substantial advantages over culling bats, the policy currently implemented in North, Central, and South America. Linking field studies with biomarkers to mathematical models can inform how spreadable vaccines may combat pathogens of health and conservation concern prior to costly investments in vaccine design and testing.
FIG. 2 in Annotated checklist of bats (Mammalia: Chiroptera) of Mount Cameroon, southwestern Cameroon
FIG. 2. — Habitat sampled for bats on Mount Cameroon: A, slow flowing streams; B, cultivated farmland; C, fallow farmland; D, beside fruiting trees; E, cleared farmland; F, understory of primary forest; G, ecotone forest/ alpine grassland; H, cave; I, waterhole. Photos: © Aaron Manga Mongombe
FIG. 1 in Annotated checklist of bats (Mammalia: Chiroptera) of Mount Cameroon, southwestern Cameroon
FIG. 1. — Map of Cameroon, showing localities listed in the text (See Appendix 1 for names of localities).
Data from: Dispersal out of Wallacea spurs diversification of Pteropus flying foxes, the world's largest bats (Mammalia: Chiroptera)
<p><b>Aim: </b>Islands provide opportunities for isolation and speciation. Many landmasses in the Indo-Australian Archipelago (IAA) are oceanic islands, and founder-event speciation is expected to be the predominant form of speciation of volant taxa on these islands. We studied the biogeographic history of flying foxes, a group with many endemic species and a predilection for islands, to test this hypothesis and infer the biogeographic origin of the group.</p> <p><b>Location: </b>Australasia, Indo-Australian Archipelago, Madagascar, Pacific Islands</p> <p><b>Taxon: </b><i>Pteropus</i> (Pteropodidae)</p> <p><b>Methods: </b>To infer the biogeographic history of <i>Pteropus</i>, we sequenced up to 6169 bp of genetic data from 10 markers and reconstructed a multilocus species tree of 34 currently recognized <i>Pteropus</i> species and subspecies with 3 <i>Acerodon</i> outgroups using <span>BEAST</span> and subsequently estimated ancestral areas using models implemented in <span>BioGeoBEARS</span>.</p> <p><b>Results: </b>Species-level resolution was occasionally low because of slow rates of molecular evolution and/or recent divergences. Older divergences, however, were more strongly supported and allow the evolutionary history of the group to be inferred. The genus diverged in Wallacea from its common ancestor with <i>Acerodon</i>; founder-event speciation out of Wallacea was a common inference. <i>Pteropus </i>species in Micronesia and the western Indian Ocean were also inferred to result from founder-event speciation.</p> <p><b>Main conclusions: </b>Dispersal between regions of the IAA and the islands found therein fostered diversification of <i>Pteropus </i>throughout the IAA and beyond. Dispersal in <i>Pteropus</i> is far higher than in most other volant taxa studied to date, highlighting the importance of inter-island movement in the biogeographic history of this large clade of large bats.</p>
Figure 6 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 6. Relative warps analysis (RWA) of 13 dorsal cranial landmarks from 22 individuals of R. hildebrandtii s.l. belonging to two molecular clades and two lineages of Clade 1 (see Fig. 3). Revised taxon names are provided in parentheses (see Taxonomic Conclusions). Skulls which were included in this analysis are indicated in Table S1. Symbols as in Fig. 5. Thin plate splines (grids) show landmark distortions represented by extremes of variation on RW1 (left = negative; right = positive) and RW2 (bottom = negative; top = positive) axes. The two skull photographs at the bottom are of actual specimens representing the negative (left: TM 41997ı smithersi from Pafuri) and positive (right: DM 11560ı cohenae from Mayoı Mpumalanga Province) extremes of variation on RW1. Landmark positions (filled circles) are shown in the photograph in the centre. doi:10.1371/journal.pone.0041744.g006
Figure 9 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 9. Dorsal (D), ventral (V) and lateral (L) view of bacula (tips on right) from four individuals (a–d) from Mpumalanga (Clade 1a = cohenae sp. nov.), two (e–f) from lowland sites in Mozambique (Clade 2 = mossambicus sp. nov.) and one (g) from Mt Mabu in Mozambique (Clade 1b = mabuensis sp. nov.). a = DM 11558 (Sudwala); b = DM 11620 (Barberton Tunnel; Topotype of cohenae); c = DM 11560 (Mayo); d = DM 11618 (Barberton Tunnel); e = DM 8580 (Gorongosa); f = DM 8578 (Niassa GR; Holotype of mossambicus); g = DM 10842 (Mt Mabu; Holotype of mabuensis). Bacula of Clade 1a (cohenae sp. nov.) have spatulate tip (rounded in Clades 2 (mossambicus sp. nov.) and 1b (mabuensis sp. nov.))ı typically emarginated basal portion (less so in Clades 2 and 1b) and shaft laterally compressed (cylindrical in Clades 2 and 1b) and sloping downwards in lateral view (horizontal in Clades 2 and 1b). doi:10.1371/journal.pone.0041744.g009
Figure 5 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 5. Canonical variates analysis (CVA) (a) of 10 cranial variables in five groups of the Rhinolophus hildebrandtii complex defined by molecular analysis; and PCA (b) of five cranial variables for sample in (a) with type series of hildebrandtii (''H¹'') and eloquens (''E¹'') added. Open circles = Clade 1a (= cohenae sp. nov.); closed circles = Clade 1b (= mabuensis sp. nov.); shaded circles = Clade 1d (= smithersi sp. nov.; Pafuri); asterisk enclosed in circle = Clade 1e (= smithersi sp. nov.; Zimbabwe); open squares = Clade 2 (mossambicus sp. nov.; Mozambique); shaded squares = Clade 2 (mossambicus sp. nov.; Lutopeı Zimbabwe); open diamonds = R. eloquens type series (Clade 3); crosses in circles = R. hildebrandtii type and co-type (Clade 1c). doi:10.1371/journal.pone.0041744.g005
Figure 1 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 1. Portraits of (a) Rhinolophus smithersi species novo, and (b) Rhinolophus mossambicus species novo, two of four new cryptic species described herein within the R. hildebrandtii complex. doi:10.1371/journal.pone.0041744.g001
Figure 4 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 4. Morphometric variation in a series representing the R. hildebrandtii complex from Lutope-Ngolangola, Zimbabwe: a) biplot of forearm length versus noseleaf width and b) PCA of five craniometric variables (M3M3, CM3, IOC, NW, NH) in 26 individuals of known (37 or 46 kHz) and unknown (?) frequency. Females indicated by open circlesı males by closed circles or crosses or asterisk. Voucher specimens for molecular sequencing study indicated by asterisk (Clade 1e: = smithersii sp. nov.; see Taxonomic Conclusions) and crosses (Clade 2: = mossambicus sp. nov.; see Taxonomic Conclusions). Hereafterı all individuals with a frequency of 37 kHz were assumed to belong to Clade 2 (mossambicus sp. nov.) and the 46 kHz individual was assumed to belong to Clade 1e (smithersi sp. nov.). doi:10.1371/journal.pone.0041744.g004
Figure 3. Consensus tree for the cytochrome b in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 3. Consensus tree for the cytochrome b dataset for representative genotyped specimens of the Rhinolophus hildebrandtii complex. The topology represents the consensus topology from a 20 million MCMC run implemented in BEAST. Estimates of divergence times (million years ago; Mya) are indicated adjacent to nodes or above branches and grey bars indicate 95% HPD values. The split between the Hipposideridae and Rhinolophidae was used as the calibration point. Taxa names include museum/field numbers which correspond to Appendix S1 or GenBank accession numbers and abbreviations are: RcfH - R. cf. hildebrandtiiı RD - R. darlingiı RE - R. eloquensı RF - R. fumigatusı RH - R. hildebrandtii s.l.ı RL - R. landeri and RR - R. ruwenzorii. Localitiesı where availableı are providedı abbreviations include SA - South Africaı MZ - Mozambiqueı and ZW - Zimbabweı and the numbers in parentheses correspond with place names in Table S1 and Fig. 2 for Clade 1 and 2 individuals. doi:10.1371/journal.pone.0041744.g003
Figure 7 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 7. Relative warps analysis (RWA) of 12 lateral cranial landmarks from 23 individuals of R. hildebrandtii s.l. belonging to two molecular clades and two lineages of Clade 1 (see Fig. 3). Revised taxon names are provided in parentheses (see Taxonomic Conclusions). Skulls which were included in this analysis are indicated in Table S1. Symbols as is in Fig. 5. Thin plate splines (grids) show landmark distortions represented by extremes of variation on RW1 (left = negative; right = positive) and RW2 (bottom = negative; top = positive) axes. The two skull photographs at the bottom are of actual specimens representing the negative (left: DM 8577ı mossambicus from Namapaı Mozambique) and positive (right: DM 11560ı cohenae from Mayoı Mpumalanga Province) extremes of variation on RW1. Landmark positions (filled circles) are shown in the photograph in the centre. doi:10.1371/journal.pone.0041744.g007
Fig 5 in A checklist of the bats of Peninsular Malaysia and progress towards a DNA barcode reference library
Fig 5. Neighbour-joining tree showing all available DNA barcodes for species in family Rhinolophidae reported from Peninsular Malaysia. The percentage of pseudoreplicate trees (±70%) in which the DNA barcodes clustered together in the bootstrap test (500 pseudoreplicates) are shown above the branches. Abbreviation as follows: PM = Peninsular Malaysia, VN = Vietnam, BN = Borneo (including Sabah & Sarawak of East Malaysia, Brunei and Kalimantan Indonesia), TH = Thailand, LA = Laos, SM = Sumatera Indonesia, JV = Java Indonesia, IND = India, CH = China, CM = Cambodia, MN = Myanmar. https://doi.org/10.1371/journal.pone.0179555.g005
Fig 4 in A checklist of the bats of Peninsular Malaysia and progress towards a DNA barcode reference library
Fig 4. Neighbour-joining tree showing all available DNA barcodes for species in family Hipposideridae reported from Peninsular Malaysia. The percentage of pseudoreplicate trees (±70%) in which the DNA barcodes clustered together in the bootstrap test (500 pseudoreplicates) are shown above the branches. Abbreviation as follows: PM = Peninsular Malaysia, VN = Vietnam, BN = Borneo (including Sabah & Sarawak of East Malaysia, Brunei and Kalimantan Indonesia), TH = Thailand, LA = Laos, SM = Sumatera Indonesia, CH = China, CM = Cambodia. https://doi.org/10.1371/journal.pone.0179555.g004
Fig 2 in A checklist of the bats of Peninsular Malaysia and progress towards a DNA barcode reference library
Fig 2. Neighbour-joining tree showing all available DNA barcodes for species in family Pteropodidae reported from Peninsular Malaysia. The percentage of pseudoreplicate trees (±70%) in which the DNA barcodes clustered together in the bootstrap test (500 pseudoreplicates) are shown above the branches. Abbreviation as follows: PM = Peninsular Malaysia, VN = Vietnam, JV = Java, Indonesia, BN = Borneo (including Sabah, Sarawak, Brunei and Kalimantan), TH = Thailand, LA = Laos. https://doi.org/10.1371/journal.pone.0179555.g002
Fig 3 in A checklist of the bats of Peninsular Malaysia and progress towards a DNA barcode reference library
Fig 3. Neighbour-joining tree showing all available DNA barcodes for species in families Emballonuridae, Megadermatidae, Molossidae and Nycteridae reported from Peninsular Malaysia. The percentage of pseudoreplicate trees (±70%) in which the DNA barcodes clustered together in the bootstrap test (500 pseudoreplicates) are shown above the branches. Abbreviation as follows: PM = Peninsular Malaysia, VN = Vietnam, BN = Borneo (including Sabah & Sarawak of East Malaysia, Brunei and Kalimantan Indonesia), TH = Thailand, LA = Laos, SM = Sumatera Indonesia, CH = China. https://doi.org/10.1371/journal.pone.0179555.g003
Fig. 1 in Molecular phylogenetics of the African horseshoe bats (Chiroptera: Rhinolophidae): expanded geographic and taxonomic sampling of the Afrotropics
Fig. 1 Type localities for recognized species of Rhinolophus (black circles), as well as subspecies and synonyms (white circles); label names represent the specific epithets of currently recognized species. Biomes of Africa and neighboring regions indicated by color shading, dark yellow: Tropical and subtropical moist broadleaf forests; orange: Flooded grasslands and savannas; gray: Tropical and subtropical grasslands, savannas, and shrublands; olive brown: Deserts and xeric shrublands; gray-green: Tropical and subtropical moist broadleaf forests; peach: Mangroves; ochre: Mediterranean forests, woodlands, and shrub; dark tan: Tropical and subtropical dry broadleaf forests [14]
Fig. 5 in Molecular phylogenetics of the African horseshoe bats (Chiroptera: Rhinolophidae): expanded geographic and taxonomic sampling of the Afrotropics
Fig. 5 Species tree estimated in StarBEAST2 using the four nuclear intron dataset. Numbers adjacent to nodes indicate posterior probabilities. Terminal tips in the tree that are statistically well-supported (PP ≥ 0.95) from BPP are indicated by "*" preceding the clade name, and terminal tips that had PP <0.95 are indicated by "?" preceding the clade name. Species groups are from [13]
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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.