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513 results for “dragonflies”

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Data from: Predator-prey interactions shape thermal patch use in a newt larvae-dragonfly nymph model

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publicJun 2013View details →
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Data For: Ornamentation diversified faster than eco-morphology across Nearctic dragonflies

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publicFeb 2023View details →
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Data from: Intrasexual selection favours an immune-correlated colour ornament in a dragonfly

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publicJul 2016View details →
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Data from: Maximum aerodynamic force production by the wandering glider dragonfly (Pantala flavescens, Libellulidae)

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publicJun 2020View details →
zenodo28/100

FIGURES 18 in Stylogomphus thongphaphumensis (Odonata: Anisoptera: Gomphidae), a new gomphid dragonfly and the first record of S. malayanus Sasamoto, 2001 from Thailand

FIGURES 18. Larva of Stylogomphus thongphaphumensis sp. nov.; dorsal view. Scale = 1 mm.

opennotspecifiedApr 2020View details →
zenodo28/100

Figure 3 in New Cenozoic dragonflies from the Most Basin and Středohoří Complex volcanic area (Czech Republic, Germany)

Figure 3. cf. Aeshna sp. (Aeshnidae), (A) photograph of specimen SMMG Ku 398 (Senckenberg Naturhistorische Sammlungen Dresden coll., Germany), imprint only; (B) line drawing of fore wing. Scale bars represent 5 mm.

opencc-by-4.0May 2016View details →
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Figure 1 in New Cenozoic dragonflies from the Most Basin and Středohoří Complex volcanic area (Czech Republic, Germany)

Figure 1. Map of Cenozoic dragonfly localities in the Krušné hory piedmont basins and volcanic areas. Abbreviations: I, Cheb and Sokolov basins; II, Most Basin; III, České středohoří Mts. and Doupovské hory Mts.; 1, Želénky near Duchcov; 2, Bílina mine; 3, Kundratice near Litoměřice; 4, Seifhennersdorf; 5, Libouš mine; 6, Jehličná near Sokolov; 7, Marie Majerová mine near Sokolov; 8, Pochlovice near Kynšperk n. Ohří.

opencc-by-4.0May 2016View details →
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Figure 6 in New Cenozoic dragonflies from the Most Basin and Středohoří Complex volcanic area (Czech Republic, Germany)

Figure 6.?Onychothemis rihai Prokop et al., 2003 (Libellulidae), (A) Photograph of specimen No. TN1 (Tomáš Novotný coll., Nástup Tušimice quarry, Czech Republic); (B) line drawing of fore wing. Scale bar represent 5 mm.

opencc-by-4.0May 2016View details →
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Figure 5 in New Cenozoic dragonflies from the Most Basin and Středohoří Complex volcanic area (Czech Republic, Germany)

Figure 5.?Ictinogomphus species indet. (Lindeniidae), (A) Photograph of specimen under film layer of ethyl alcohol SMMG SaT 532 (Senckenberg Naturhistorische Sammlungen Dresden coll., Germany); (B) line drawing of fore wing. Scale bar represent 5 mm.

opencc-by-4.0May 2016View details →
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Figure 4 in New Cenozoic dragonflies from the Most Basin and Středohoří Complex volcanic area (Czech Republic, Germany)

Figure 4. Genus and species indet. (Aeshnidae), (A) line drawing of fore wing; (B) photograph of specimen ZD 282 (Bílina Mine Enterprises, Bílina coll., Czech Republic). Scale bars represent 5 mm.

opencc-by-4.0May 2016View details →
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Data for: Natural selection on adults has trait-dependent consequences for juvenile evolution in dragonflies

<p>Although natural selection often varies across ontogeny, it remains unclear what conditions enable selection in one life-cycle stage to shape evolution in others. Organisms that undergo metamorphosis are useful for addressing this topic because, despite the dramatic life-history transition that separates their highly specialized life-cycle stages, the stages only exhibit evolutionary independence in some cases. Using a comparative study of dragonflies, we examined three conditions that are hypothesized to allow selection in one stage to affect evolution in others. First, contrary to predictions that life-cycle stages in lineages with less dramatic metamorphoses (e.g. hemimetabolous insects) do not evolve independently, we found that the evolution of larval body shape is not affected by selection on adult shape. Next, supporting the hypothesis that homologous and/or co-adapted structures do not evolve independently, selection for larger wings are associated with the evolution of a functionally co-adapted larval trait, the sheaths that store developing wing tissue. Finally, consistent with expectations of minimal stage-specific evolution in traits linked to a single biochemical pathway, species with more wing melanization have evolved weaker larval melanin immune defenses. Thus, even in organisms that undergo metamorphosis, some kinds of traits may have greater capacity for stage-specific evolution than others.</p>

opencc-zeroJan 2021View details →
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Data from: Dispersal, niche breadth, and population extinction/colonization ratios predict range size in North American dragonflies

1. Species' range sizes are shaped by fundamental differences in species' ecological and evolutionary characteristics, and understanding the mechanisms determining range size can shed light on the factors responsible for generating and structuring biological diversity. Moreover, because geographic range size is associated with a species' risk of extinction and their ability to respond to global changes in climate and land use, understanding these mechanisms has important conservation implications. 2. Despite hypotheses that dispersal behaviour is a strong determinant of species range areas, few data are available to directly compare the relationship between dispersal behaviour and range size. Here, we overcome this limitation by combining data from a multi-species dispersal experiment with additional species-level trait data that are commonly hypothesized to affect range size (e.g. niche-breadth, local abundance, and body size, etc.). This enables us to examine the relationship between these species-level traits and range size across North America for fifteen dragonfly species. 3. Ten models based on a priori predictions about the relationship between species traits and range size were evaluated and two models were identified as good predictors of species range size. These models indicated that only two species' level traits, dispersal behaviour and niche breadth were strongly related to range size. The evidence from these two models indicated that dragonfly species that disperse more often and further had larger North American ranges. 4. Extinction and colonization dynamics are expected to be a key linkage between dispersal behaviour and range size in dragonflies. To evaluate how extinction and colonization dynamics among dragonflies were related to range size we used an independent data set of extinction and colonization rates for eleven dragonfly species and assessed the relationship between these populations rates and North American range areas for these species. 5. We found a negative relationship between North American range size and species' extinction to colonization ratios. Our results indicate that metapopulation dynamics act to shape the extent of species' continental distributions. These population dynamics are likely to interact with dispersal behaviour, particularly at species range margins, to determine range limits and ultimately species range sizes.

opencc-zeroDec 2012View details →
dryad28/100

Data from: Not going with the flow: a comprehensive time-calibrated phylogeny of dragonflies (Anisoptera: Odonata: Insecta) provides evidence for the role of lentic habitats on diversification

Ecological diversification of aquatic insects has long been suspected to have been driven by differences in freshwater habitats, which can be classified into flowing (lotic) waters and standing (lentic) waters. The contrasting characteristics of lotic and lentic freshwater systems imply different ecological constraints on their inhabitants. The ephemeral and discontinuous character of most lentic water bodies may encourage dispersal by lentic species in turn reducing geographical isolation among populations. Hence, speciation probability would be lower in lentic species. Here, we assess the impact of habitat use on diversification patterns in dragonflies (Anisoptera: Odonata). Based on the eight nuclear and mitochondrial genes, we inferred species diversification with a model-based evolutionary framework, to account for rate variation through time and among lineages and to estimate the impact of larval habitat on the potentially nonrandom diversification among anisopteran groups. Ancestral state reconstruction revealed lotic fresh water systems as their original primary habitat, while lentic waters have been colonized independently in Aeshnidae, Corduliidae and Libellulidae. Furthermore, our results indicate a positive correlation of speciation and lentic habitat colonization by dragonflies: speciation rates increased in lentic Aeshnidae and Libellulidae, whereas they remain mostly uniform among lotic groups. This contradicts the hypothesis of inherently lower speciation in lentic groups and suggests species with larger ranges are more likely to diversify, perhaps due to higher probability of larger areas being dissected by geographical barriers. Furthermore, larger range sizes may comprise more habitat types, which could also promote speciation by providing additional niches, allowing the coexistence of emerging species.

opencc-zeroDec 2015View details →
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FIGURE 1 in Gone with the wind: westward dispersal across the Indian Ocean and island speciation in Hemicordulia dragonflies (Odonata: Corduliidae)

FIGURE 1. Secondary genitalia of Hemicordulia africana n. sp. in lateral view.

opennotspecifiedDec 2007View details →
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FIGURES 8. Parabrunetia celinea n. gen., n in New isophlebioid dragonflies (Odonata: Isophlebioptera: Campterophlebiidae) from the Middle Jurassic of China

FIGURES 8. Parabrunetia celinea n. gen., n. sp., holotype NIGPAS 133713, drawings of fore and hind

opennotspecifiedDec 2006View details →
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FIGURE 2 in A new genus and species of hawker dragonfly of uncertain affinities from the Middle Jurassic of China (Odonata: Aeshnoptera)

FIGURE 2. Line drawing of Sinocymatophlebiella hasticercus gen. et sp. nov. Scale in mm.

opennotspecifiedDec 2011View details →
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FIGURE 2 in Nannophlebia leoboppi sp nov., a new dragonfly species from New Guinea (Odonata: Anisoptera: Libellulidae)

FIGURE 2. Nannophlebia leoboppi sp. nov. lateral view synthorax and coxae, holotype.

opennotspecifiedDec 2015View details →
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FIGURE 1 in Nannophlebia leoboppi sp nov., a new dragonfly species from New Guinea (Odonata: Anisoptera: Libellulidae)

FIGURE 1. Nannophlebia leoboppi sp. nov. lateral habitus, holotype.

opennotspecifiedDec 2015View details →
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FIGURE 11 in Six, not two, species of Acisoma pintail dragonfly (Odonata: Libellulidae)

FIGURE 11. Holotype of Acisoma attenboroughi sp. nov., ZMUH.

opennotspecifiedDec 2016View details →
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FIGURE 1 in New stem-anisopteran dragonflies in the Jurassic of China (Odonata: Epiproctophora)

FIGURE 1. Location of fossil locality.

opennotspecifiedDec 2023View details →

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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.

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neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record