Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
155
datasets available to search
ShareScore release 0.9.0
Dataset results
155 results for “butterfly diversity”
Data from: Environmental variation associated with topography explains butterfly diversity along a tropical elevation gradient
<p>Few studies have evaluated the role of topography on the diversity patterns of biological communities along elevation gradients. We evaluated the influence of microclimate and vegetation structure associated with topographic variation on the richness and composition of species of different families of butterflies on a mountain located in a dry enclave (Chicamocha River Canyon) in the northern Andes, Colombia. We captured butterflies over four months at 18 elevations (300 to 1500 m a.s.l.) in two topographic positions (riverbed and hillslope) using an entomological net and traps baited with fermented fruit. In general, butterfly richness increased with elevation in both topographic positions. However, the richness-elevation relationship changed with butterfly family. The riverbed and hillslope sites host different assemblages of butterflies, and this pattern that was consistent for most families. In the riverbed, two sets of species are recognized along the elevation gradient (one below 700 m a.s.l. and the other above 1000 m a.s.l.), mainly owing to species replacement. On the hillslopes there was no clear pattern of grouping associated with elevation. Microclimate differences between the riverbed and hillslope sites along the elevation gradient were related to the vegetation structure and explained the variation in butterfly species composition. Our results highlight the role of topography not only by explaining the response of species richness and composition to environmental variation determined by elevation, but also as a factor that must be considered in the planning and management of biodiversity conservation in the mountains.</p>
FIGURE 3 in Species diversity and community structure of fruit-feeding butterflies (Lepidoptera: Nymphalidae) in an eastern amazonian forest
FIGURE 3: Whittaker plot (rank-abundance distribution) for the total sample of fruit-feeding butterflies in an eastern Amazonian forest. The y axis represents species abundance and the x axis ranks each species in order from most to least abundant.
FIGURE 1 in Species diversity and community structure of fruit-feeding butterflies (Lepidoptera: Nymphalidae) in an eastern amazonian forest
FIGURE 1: Location of Sítio Aguahy, in the eastern Amazon. (A) Maps of Brazil and the state of Maranhão, demonstrating the distribution of the Brazilian Amazon forest. (B) Dense rainforest (C) Secondary forest.
Fig. 3 in Ecological Analysis Of Butterflies And Day-Flying Moths Diversity Of The Gouraya National Park (Algeria)
Fig. 3. Projection of the butterfly and day-flying moth species of the three stations studied on the first two axes of the correspondence factor analysis.
Fig. 2 in Ecological Analysis Of Butterflies And Day-Flying Moths Diversity Of The Gouraya National Park (Algeria)
Fig. 2. Evolution of the species richness of butterflies and day-flying moths at the three stations of Gouraya National Park, mean temperature in Bejaia (DAAE, 2012).
Figure 2 in Diversity of butterflies (Lepidoptera: Rhopalocera) from cold desert of district Kargil in the union territory of Ladakh, India
Figure 2. Photograph of Collection sites in Kargil Ladakh (U.T). Table 1. Name of location recorded during the survey along with Latitude, Longitude and altitudinal range
Figure 2 in Mount Faifa, a local hotspot of butterfly diversity (Lepidoptera: Papilionoidea) in the Kingdom of Saudi Arabia
Figure 2. Approximate position of the butterfly sampling locations in Mt. Faifa in the southwestern Kingdom of Saudi Arabia. The locations are numbered as in List of locations. The central part of the area is enlarged for clarity.
Figure 1 in Mount Faifa, a local hotspot of butterfly diversity (Lepidoptera: Papilionoidea) in the Kingdom of Saudi Arabia
Figure 1. Butterfly-rich habitat on Mt. Faifa in the upper part of wadi Altararah (location 19) with close resemblance to tropical forests.
Figure 4 in Mount Faifa, a local hotspot of butterfly diversity (Lepidoptera: Papilionoidea) in the Kingdom of Saudi Arabia
Figure 4. Altitudinal distribution of butterflies (Lepidoptera: Papilionoidea) in the Mt. Faifa in the southwestern Kingdom of Saudi Arabia. The colour grade varies from dark – most widespread, to paler – more restricted. Species present in at least four altitudinal belts are not shown, those present only in a single altitudinal belt are in red font. The species not shown are included in species counts at the bottom – total number (black) and single altitude belt specific (red).
Figure 3. Lepidochrysops haveni Larsen, 1983 in Mount Faifa, a local hotspot of butterfly diversity (Lepidoptera: Papilionoidea) in the Kingdom of Saudi Arabia
Figure 3. Lepidochrysops haveni Larsen, 1983, male, collected along the road 3,5 km south Ayban Belghazi (location 16), Mt. Faifa, 08.11.2023, leg. et coll. M. Seizmair. A: Upper side. B. Underside. Scale bars = 10 mm.
Linked collectors and determiners for: Documenting diversity in the Amazonian butterfly genus Bia (Lepidoptera, Nymphalidae).
Natural history specimen data linked to collectors and determiners held within, "Documenting diversity in the Amazonian butterfly genus Bia (Lepidoptera, Nymphalidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/97942778-cef4-4cf6-b4e4-c077e633daa8">https://bionomia.net/dataset/97942778-cef4-4cf6-b4e4-c077e633daa8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/97942778-cef4-4cf6-b4e4-c077e633daa8">https://gbif.org/dataset/97942778-cef4-4cf6-b4e4-c077e633daa8</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Combining target enrichment and Sanger sequencing data to clarify the systematics of the diverse Neotropical butterfly subtribe Euptychiina (Nymphalidae, Satyrinae).
Natural history specimen data linked to collectors and determiners held within, "Combining target enrichment and Sanger sequencing data to clarify the systematics of the diverse Neotropical butterfly subtribe Euptychiina (Nymphalidae, Satyrinae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/bfb878f3-8a74-46d3-a104-36485c32aaba">https://bionomia.net/dataset/bfb878f3-8a74-46d3-a104-36485c32aaba</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/bfb878f3-8a74-46d3-a104-36485c32aaba">https://gbif.org/dataset/bfb878f3-8a74-46d3-a104-36485c32aaba</a>. Formatted as a Frictionless Data package.
Rapid evolution of host repertoire and geographic range in a young and diverse genus of montane butterflies
Open the record for dataset details and reuse information.
Data from: Environmental variation associated with topography explains butterfly diversity along a tropical elevation gradient
Open the record for dataset details and reuse information.
Data from: Vertical differentiation in tropical forest butterflies: a novel mechanism generating insect diversity?
Many tropical fruit-feeding nymphalid butterflies are associated with either the forest canopy or the understory, however, the exceptions offer insights into the origins of tropical diversity. As it occurs in both habitats of tropical forests in Ecuador and Peru, Archaeoprepona demophon is one such exception. We compared patterns of occurrence of A. demophon in the canopy and understory and population genomic variation for evidence of ecological and genetic differentiation between habitats. We found that butterfly occurrences in the canopy were largely uncorrelated with occurrences in the understory at both localities, indicating independent demographic patterns in the two habitats. We also documented modest, significant genome-level differentiation at both localities. Genetic differentiation between habitat types (approximately 20m in elevation) were comparable to levels of differentiation between sampling locations (approximately 1500km). We conclude that canopy and understory populations of A. demophon represent incipient independent evolutionary units. These findings support the hypothesis that divergence between canopy and understory-associated populations might be a mechanism generating insect diversity in the tropics.
Butterflies show different functional and species diversity in relation to vegetation structure and land-use
<p>Using these data we investigated the relation between vegetation structure, land use and the diversity of species and traits in butterflies for the Netherlands.</p> <p>The research paper, now accepted for publication but not yet online, in the journal "Global Ecology and Biogeography", has the title "Butterflies show different functional and species diversity in relation to vegetation structure and land-use".</p> <p>Please see the methods used to create the dataset in the above mentioned manuscript.</p> <p>A description of the raster layers used in the above mentioned manuscript and available here has been uploaded together with the raster layers.</p>
Opsin data from: Multiple axes of visual system diversity in Ithomiini, an ecologically diverse tribe of mimetic butterflies
<p><span>The striking structural variation seen in arthropod visual systems can be explained by the overall quantity and spatio-temporal structure of light within habitats coupled with developmental and physiological constraints. However, little is currently known about how fine-scale variation in visual structures arise across shorter evolutionary and ecological scales. In this study, we characterise patterns of interspecific (between species), intraspecific (between sexes) and intraindividual (between eye regions) variation in the visual system of four ithomiine butterfly species. These species are part of a diverse 26-Myr-old Neotropical radiation where changes in mimetic colouration are associated with fine-scale shifts in ecology, such as microhabitat preference. By using a combination of selection analyses on visual opsin sequences, in-vivo ophthalmoscopy, micro-computed tomography (micro-CT), immunohistochemistry, confocal microscopy, and neural tracing, we quantify and describe physiological, anatomical, and molecular traits involved in visual processing. Using these data, we provide evidence of substantial variation within the visual systems of Ithomiini, including: i) relaxed selection on visual opsins, perhaps mediated by habitat preference, ii) interspecific shifts in visual system physiology and anatomy, and iii) extensive sexual dimorphism, including the complete absence of a butterfly-specific optic neuropil in the males of some species. We conclude that considerable visual system variation can exist within diverse insect radiations, hinting at the evolutionary lability of these systems to rapidly develop specialisations to distinct visual ecologies, with selection acting at both the perceptual, processing, and molecular level.</span></p>
Demography and environment modulate the effects of genetic diversity on extinction risk in a butterfly metapopulation
<p>Linking genetic diversity to extinction is a common goal in genomic studies. Recently, a debate has arisen regarding the importance of genetic variation in conservation as some studies have failed to find associations between genome-wide genetic diversity and extinction risk. However, only rarely are genetic diversity and fitness measured together in the wild, and typically variation in demographic history or environment are ignored. It is therefore difficult to infer whether a lack of an association is real or obscured by confounding factors. To address these shortcomings, we analysed genetic data from 7,501 individuals with extinction data from 279 meadows and mortality of 1,742 larval nests in a butterfly metapopulation. We found strong negative associations between genetic diversity and extinction when heterozygosity was included alone in models. However, this association was no longer present when ecological covariates were included. Interactions between heterozygosity and demographic variables revealed that associations are context-dependent or only detectable when confounding factors are controlled. For example, extinction declined with increasing heterozygosity in large but not currently small populations, although negative associations between heterozygosity, extinction, and mortality were detected in populations with a recent history of decline. We conclude that low genetic diversity is an important predictor of extinction, predicting >25% increase in extinction beyond ecological factors in certain contexts. This highlights that inferences about the importance of genetic diversity should not rely on genomic data alone but requires investments in obtaining demographic and environmental data from natural populations to jointly assess their impact on population extinction risk.</p>
Fig. 1 in Ecological Analysis Of Butterflies And Day-Flying Moths Diversity Of The Gouraya National Park (Algeria)
Fig. 1. Geographic location of Gouraya National Park and the study sites (Hafir Halim).
Neuroanatomical shifts mirror patterns of ecological divergence in three diverse clades of mimetic butterflies
<p class="MsoNormal"><span>Microhabitat partitioning in heterogenous environments can support more diverse communities but may expose partitioned species to distinct perceptual challenges. Divergence across microhabitats could therefore lead to local adaptation to contrasting sensory conditions across small spatial scales, but this aspect of community structuring is rarely explored. Diverse communities of ithomiine butterflies provide an example where closely related species partition tropical forests, where shifts in mimetic colouration are tightly associated with shifts in habitat preference. </span><span>We test the hypothesis </span><span>that these mimetic and ecological shifts are associated with distinct patterns of sensory neural investment by comparing brain structure across 164 individuals of 16 species from three ithomiine clades. We find distinct brain morphologies between Oleriina<em> </em>and <em>Hypothyris</em>, which are mimetically homogenous and occupy a single microhabitat. Oleriina, which occur in low-light micro-habitats, invests less in visual brain regions than <em>Hypothyris</em>, with one notable exception, <em>Hyposcada anchiala, </em>the only Oleriina<em> </em>sampled to have converged on mimicry rings found in <em>Hypothyris</em>. We also find that <em>Napeogenes</em>, which has diversified into a range of mimicry rings, shows intermediate patterns of sensory investment. We identify flight height as a critical factor shaping neuroanatomical diversity, with species that fly higher in the canopy investing more in visual structures. Our work suggests that the sensory ecology of species may be impacted by, and interact with, the ways in which communities of closely related organisms are adaptively assembled.</span></p>
ScienceDex guides
Understand access before you commit
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.