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FIGURE 6 in The decline of silky lacewings and morphological diversity of long-nosed antlion larvae through time
FIGURE 6. Specimens in Baltic amber, continued. A. Specimen 26 (Gröhn 7507), ventral view, strongly verlumt. B. Specimen 27; image from Jonas Damzen. C. Specimen 28. D. Specimen 29. E. Specimen 30. C–E. Images by Marius Veta.
FIGURE 1 in The decline of silky lacewings and morphological diversity of long-nosed antlion larvae through time
FIGURE 1. All known extant long-nosed antlion larvae, i.e., larvae of silky lacewings (Psychopsidae). Drawings partly simplified. A. Specimen 1, from Froggatt (1907). B–E. All from Tillyard (1918). B1. Specimen 2. B2. Specimen 2 in the same scale as the other specimens from Tillyard (1918). C. Specimen 3. D. Specimen 4. E. Specimen 5. F. Specimen 6, from Withycombe (1925). G. Specimen 7, from Macleod (1964). H. Specimen 8, from New (1989). I. Specimen 9, from New (1991). J. Specimen 10, from Aspöck and Aspöck (1999). K. Specimen 11, from Badano et al. (2017). L. Specimen 12, from Bakkes et al. (2017).
FIGURE 9. Specimen 31 in The decline of silky lacewings and morphological diversity of long-nosed antlion larvae through time
FIGURE 9. Specimen 31 (BUB 3356); Burmese amber. A. Dorsal view. B. Dorsal view, colour marked. C. Close-up of labrum (arrow) in ventral view. D. Ventral view. Abbreviations: ad = abdomen; at = antenna; hc = head capsule; lp = labial palp; ms = mesothorax; mt = metathorax; pt = prothorax; sy = stylet.
FIGURE 8. Specimen 16 in The decline of silky lacewings and morphological diversity of long-nosed antlion larvae through time
FIGURE 8. Specimen 16 (IGR.ARC-205.2), continued. A–B. Composite fluorescence images in dorsal view, note the surface details. A. Blue light (GFP). B. Green light (TRITC). C. Composite bright-field image.
FIGURE 10. Specimen 32 in The decline of silky lacewings and morphological diversity of long-nosed antlion larvae through time
FIGURE 10. Specimen 32 (PED 0055); Burmese amber. A. Dorsal view. B. Dorsal view, colour marked. C. Ventral view. D. Close-up of labrum (arrow) in dorsal view. E. Close-up of empodium (arrow) of third walking appendage. F. Close-up of abdomen. Abbreviations: ad = abdomen; at = antenna; hc = head capsule; lp = labial palp; ms = mesothorax; mt = metathorax; pt = prothorax; sy = stylet.
White nose syndrome model
<p>This repository accompanies the publication:</p> <p>Landscape structure and ecology influence the spread of a bat fungal disease</p> <p>Lilley, T., Anttila, J., Ruokolainen, L. 2018.</p> <p>Functional Ecology (submission FE-2018-00468)</p>
Fig. 3 in Molecular characterization and phylogenetic analysis of Trypanosoma spp. detected from striped leaf-nosed bats (Hipposideros vittatus) in Zambia
Fig. 3. Species delimitation of Trypanosoma cruzi clade. Maximum likelihood phylogeny with outgroup (Trypanosoma lewisi) and with Baysian support values presented 17 linages recognized as species for the PTP analysis. Monophyletic groups in red indicated single putative species as well as terminal branches in blue.. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Molecular characterization and phylogenetic analysis of Trypanosoma spp. detected from striped leaf-nosed bats (Hipposideros vittatus) in Zambia
Fig. 1. Giemsa staining of Trypanosoma sp. from ZB17–105 in BSK-M medium Representative images of ZB17-105 in the BSK-M medium are displayed at the same magnification (x1000). (a,b) flagellates resembling promastigote forms. (c) possibly epimastigote forms under division. K: kinetoplast, N: nucleus, F: flagellum.
Fig. 2. 3 in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei
Fig. 2. 3-Dimensional models of A) S. scabiei mite survival from laboratory data (Arlian et al., 1984a), and B) the estimated mite survival from GAM fit to the laboratory data (R2 = 0.834).
Fig. 5. A in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei
Fig. 5. A) Estimated mite survival within burrows across the eastern (low mange prevalence) and western (high mange prevalence) survey areas. B) The relationship between estimated mite survival and the elevation of burrows from the eastern and western areas.
Fig. 4 in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei
Fig. 4. Relationship of burrow A) length, B) depth, C) elevation, and D) field trip number, to estimated mite survival time within burrow.
Fig. 3 in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei
Fig. 3. Temporal profiles of A) air temperature, B) relative humidity, and C) estimated mite survival within wombat burrows and outside at the burrow entrances. D) Average estimated mite survival time at burrow entrances and within burrows (n = 33).
Fig. 6 in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei
Fig. 6. Seasonal variation in estimated mite survival within wombat burrows. Note: in winter, the burrows were sampled with a different method (data loggers) compared to the spring and summer (robotic vehicle, the WomBot).
Fig. 1 in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei
Fig. 1. Location of study area at Musselroe Wind Farm, Cape Portland. Map of DPIPWE spotlight survey transect routes, red: west transect, blue: east transect. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Distribution, prevalence and intensity of moose nose bot fly (Cephenemyia ulrichii) larvae in moose (Alces alces) from Norway
Fig. 3. The predicted parasite intensity of moose nose bot fly larvae for harvested calves (red), yearlings (blue) and adult (green) moose in central and southern Norway. Predictions from the highest ranked intensity model with study area and age group. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Distribution, prevalence and intensity of moose nose bot fly (Cephenemyia ulrichii) larvae in moose (Alces alces) from Norway
Fig. 2. The predicted infection prevalence of moose nose bot fly larvae with increasing moose (host) density. The shaded area shows the 95% confidence interval. Predictions from the highest ranked model with moose density. In the plot we used the function "jitter" in the R package ggeffects (Lüdecke, 2018), which adds small random variation to the data points to better reflect the amount of data for moose densities. Hence, the points do not reflect exact values as they are binomial.
Fig. 1 in Distribution, prevalence and intensity of moose nose bot fly (Cephenemyia ulrichii) larvae in moose (Alces alces) from Norway
Fig. 1. Study areas in southern (Oslo, AurskogHøland and Kongsvinger) and central Norway (Selbu, Tydal, Malvik, Stjørdal and Meråker) with location and moose density (moose density, see Materials and methods) in sampling municipalities. Red filled circle indicate where the moose nose bot fly (Cephenemyia ulrichii) was first found in Norway, and open circles show where moose heads were examined without detection of the moose nose bot fly in 1987 (Nilssen and Haugerud, 1994). Blue circles indicate where the moose nose bot fly were found in Sweden in the late 1970s and 1980s (Steen et al., 1988). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Figure 2 in Additional information on Misonne's swollen-nose gecko, Rhinogecko misonnei de Witte, 1973 (Squamata, Geckonidae) in Iran
Figure 2. Distribution of Rhinogecko misonnei in Iran. Filled square: type locality (de Witte 1973). Filled circle: new locality.
Figure 4 in Additional information on Misonne's swollen-nose gecko, Rhinogecko misonnei de Witte, 1973 (Squamata, Geckonidae) in Iran
Figure 4. Rhinogecko misonnei: (A) head from side; (B) head from below; (C) head from above; (D) snout from above; (E,F) dorsum; (G) femoral scale; (H) preanal pores; (I) ventral surface of digit; (J) tail from above; (K) tail from below; (L) belly.
E-nose drift analysis dataset
<p>In this file, there are 2 E-nose datasets including board drift and time drift. Take time drift as an example,</p> <p>after loading data_lab_after.mat, the sensor array response and the correspongding label could be possessed</p> <p>This dataset is supplied by School of Microelectronics and Communication Engineering, Chongqing University and Chongqing Key Laboratory of Bio-perception Intelligent Information Processing.</p> <p> </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.