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513 results for “dragonflies”
FIGURE 1 in Discovery in Burmese amber of the youngest-known aktassiid dragonfly (Odonata: Anisoptera)
FIGURE 1. Photograph of general habitus, specimen NIGP203639.
FIGURE 2 in Discovery in Burmese amber of the youngest-known aktassiid dragonfly (Odonata: Anisoptera)
FIGURE 2. Line drawing showing wing venation of specimen, specimen NIGP203639.
FIGURE 14 in Burmagomphus chaukulensis, a new species of dragonfly (Odonata: Anisoptera Gomphidae) from the Western Ghats, Maharashtra, India
FIGURE 14. Habitat of B. chaukulensis (a) Chaukul, and (b) Mulwand.
FIGURE 15. A in Burmagomphus chaukulensis, a new species of dragonfly (Odonata: Anisoptera Gomphidae) from the Western Ghats, Maharashtra, India
FIGURE 15. A distribution map depicting records of Indian Burmagomphus spp.
FIGURE 2 in Burmagomphus chaukulensis, a new species of dragonfly (Odonata: Anisoptera Gomphidae) from the Western Ghats, Maharashtra, India
FIGURE 2. Burmagomphus chaukulensis Holotype male [IBC-BN809]. Forewing and hindwing (scale=5 mm).
Figure 6 from: Kipping J, Clausnitzer V, Elizalde SRF, Dijkstra K-DB (2017) The dragonflies and damselflies (Odonata) of Angola. African Invertebrates 58(1): 65-91. https://doi.org/10.3897/AfrInvertebr.58.11382
Figure 6 - Photographs of Angola's endemic a Angola Dancing Jewel (Platycypha angolensis) and b Angola Micmac (Micromacromia flava) (K.D. Dijkstra).
Figure 5 from: Kipping J, Clausnitzer V, Elizalde SRF, Dijkstra K-DB (2017) The dragonflies and damselflies (Odonata) of Angola. African Invertebrates 58(1): 65-91. https://doi.org/10.3897/AfrInvertebr.58.11382
Figure 5 - Photographs of some of Angola's (near) endemic dragonflies and damselflies. a Angola Sparklewing (Umma femina) b Highland Blue Jewel (Platycypha bamptoni) c Angola Blue Jewel (Platycypha crocea) d Blue Wisp (Agriocnemis angolensis) e Sarep Sprite (Pseudagrion sarepi) f Estes's Sprite (Pseudagrion estesi) g Angola Sprite (Pseudagrion angolense) h Sunrise Firebelly (Eleuthemis eogaster) (a S. Fernandes Elizalde b–f J. Kipping g W. Tarboton, h K.D. Dijkstra).
Figure 4 from: Kipping J, Clausnitzer V, Elizalde SRF, Dijkstra K-DB (2017) The dragonflies and damselflies (Odonata) of Angola. African Invertebrates 58(1): 65-91. https://doi.org/10.3897/AfrInvertebr.58.11382
Figure 4 - Distribution of the endemic crocea-group of Platycypha species and all congeneric taxa. Names of taxa that favour open habitats are in black, those tending toward forest in white (although P. rufitibia occurs on very open rivers); abbreviations: am — P. amboniensis, in — P. inyangae, la — form "lacus" of P. caligata which may represent a distinct species, pi — P. pinheyi. The rather dispersed forest species P. lacustris is shown with black squares (adapted from Dijkstra 2008).
Figure 2 from: Kipping J, Clausnitzer V, Elizalde SRF, Dijkstra K-DB (2017) The dragonflies and damselflies (Odonata) of Angola. African Invertebrates 58(1): 65-91. https://doi.org/10.3897/AfrInvertebr.58.11382
Figure 2 - Distribution of Odonata diversity in continental Africa. Mapped as the number of species per Hydro1K basin (adapted from Clausnitzer et al. 2012), Angola outlined in white.
Figure 3 from: Kipping J, Clausnitzer V, Elizalde SRF, Dijkstra K-DB (2017) The dragonflies and damselflies (Odonata) of Angola. African Invertebrates 58(1): 65-91. https://doi.org/10.3897/AfrInvertebr.58.11382
Figure 3 - Records of 16 endemic Odonata species in Angola relative to altitude. White dots: endemic species (marked ** in Table 1); grey triangles: other species. Elevation follows the GTOPO30 model of the U.S. Geological Center for Earth Resources Observation and Science (EROS).
Supplementary material 1 from: Ball-Damerow JE, Oboyski PT, Resh VH (2015) California dragonfly and damselfly (Odonata) database: temporal and spatial distribution of species records collected over the past century. ZooKeys 482: 67-89. https://doi.org/10.3897/zookeys.482.8453
California Odonata database records after data processing, as described in methods.:
Figure 5 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 5 - Map of ecosystem threat statuses and the average KBI scores (i.e. KBI/Site) of each ecosystem.
Figure 3 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 3 - Distribution of South African and Cape Floristic Region katydid species among Tettigoniidae subfamilies.
Figure 2 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 2 - Composition of South African (A, C, E) and Cape Floristic Region (B, D, F) katydid assemblages as characterised by their distribution (A, B), mobility (C, D), and trophic level (E, F) relative to their IUCN threat status.
Figure 1 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 1 - Proportion of South African (A, C, E, G) and Cape Floristic Region (B, D, F, H) katydid assemblages as characterised by the KBI assessment criteria (Threat Status, Distribution, Trophic level and Mobility).
Figure 4 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 4 - Distribution of Katydid Biotic Index (KBI) among ecosystem threat statuses (mean ± s.e.).
FIGURE 3 in Oligoaeschna sirindhornae sp. nov., a new dragonfly species from Thailand (Odonata: Anisoptera: Aeshnidae)
FIGURE 3. Oligaeschna sirindhornae sp. nov. holotype: wing venation.
FIGURE 1 in Oligoaeschna sirindhornae sp. nov., a new dragonfly species from Thailand (Odonata: Anisoptera: Aeshnidae)
FIGURE 1. Oligaeschna sirindhorni sp. nov. holotype, habitus.
FIGURE 4 in Oligoaeschna sirindhornae sp. nov., a new dragonfly species from Thailand (Odonata: Anisoptera: Aeshnidae)
FIGURE 4. Habitat where the holotype of O. sirindhornae sp. nov. was captured.
Figure 4 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 4 - Distribution of Katydid Biotic Index (KBI) among ecosystem threat statuses (mean ± s.e.).
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.