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.
2,390
datasets available to search
ShareScore release 0.7.1
Dataset results
2,390 results for “butterflies”
Fig. 1 Sampling locations. A in Does size matter? Comparative population genetics of two butterflies with different wingspans
Fig. 1 Sampling locations. A map of the Western Ghats showing sampling locations for both species. Inset: map of India showing the location of the Western Ghats in blue
Fig. 5 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 5 Niche identity tests of Maculinea/Myrmica host associations under the A2a climate change scenario for 2080. The red arrow indicates the measured niche overlap between hosts and parasites
Fig. 3 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 3 Niche identity tests of Maculinea/Myrmica host associations under current climate. The red arrow indicates the measured niche overlap between hosts and parasites derived from ENMs generated
Fig. 2 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 2 Estimated potential distributions of Maculinea butterflies (light grey) and Myrmica ants (dark grey) under current climatic conditions show large geographic overlaps of the butterfly species with their respective main (red) and secondary hosts (orange)
Fig. 9 in Morphological and chemical analysis of male scent organs in the butterfly genus Pyrgus (Lepidoptera: Hesperiidae)
Fig. 9 Superimposition of the phylogenetic tree on the chemical profile dissimilarity plot. NMMDS on Bray-Curtis dissimilarity matrix for species mean chemical compositions and inferred ancestral compositions for nodes. Nodes and species are linked as in the phylogenetic tree
Fig. 7 in Morphological and chemical analysis of male scent organs in the butterfly genus Pyrgus (Lepidoptera: Hesperiidae)
Fig. 7 Non-metric multidimensional scaling of chemical profiles. Twodimensional plot representing the dissimilarity pattern in chemical profiles of the Pyrgus male scent organs. Populations representing species or closely related species pairs are encircled. A picture of a male of each species is shown (upper row: upperside; lower row: underside)
Fig. 4 in Morphological and chemical analysis of male scent organs in the butterfly genus Pyrgus (Lepidoptera: Hesperiidae)
Fig. 4 SEM photographs of the male scent organs on the abdomen and thorax of Pyrgus onopordi. a General view of the contact area between thorax and abdomen. 1. Area with scent scales on two first abdominal segments (ventral plate). 2. Coxal appendix. 3. Area with scent scales on the thorax. At rest, tibial tufts (Fig. 3a) are hosted between ventral plate and coxal appendix. Scale bar 1 mm. b Scent scales on the ventral plate (above) and scales and setae on the coxal appendix (below). Scale bar 300 μm. c Scent scales (androconia) from the ventral plate. Scale bar 100 μm. d Detail showing the structure of a scent scale. Scale bar 10 μm
Fig. 1 in Morphological and chemical analysis of male scent organs in the butterfly genus Pyrgus (Lepidoptera: Hesperiidae)
Fig. 1 Scent organs on the wings, legs, abdomen, and thorax of Pyrgus sidae males. 1. Costal fold. 2. Tibial tufts. 3. Coxal appendix. 4. Ventral Plate. 5. Area with scent scales on the thorax
Fig. 3 in Invading a refugium: post glacial replacement of the ancestral lineage of a Nymphalid butterfly in the West Mediterranean
Fig. 3 Interpolation by inverse distance weighting (IDW) of component 1 values over the study area (a). The shapes of valvae and brachia corresponding to the maximum and minimum values of valva PC1 and brachium PC1 are shown beside the legend. Slope of the interpolated
Fig. 1 The study area showing the 21 in Invading a refugium: post glacial replacement of the ancestral lineage of a Nymphalid butterfly in the West Mediterranean
Fig. 1 The study area showing the 21 sampled localities: 1 Esperia, 2 Ischia, 3 Napoli, 4 Capri, 5 Punta Campanella, 6 Ottati, 7 Castrovillari, 8 Cosenza, 9 Sila Grande, 10 Isola Capo Rizzuto, 11 Monte Limina, 12 Gambarie, 13 Portella Rizzo, 14 Santa Lucia sul Melo, 15 Lipari, 16 Galati
Fig. 2 in Invading a refugium: post glacial replacement of the ancestral lineage of a Nymphalid butterfly in the West Mediterranean
Fig. 2 Partial least squares discriminant analysis (PLSDA) displaying the relative positions of specimens belonging to the 21 areas. Only the areas with more than five specimens were used to construct the model. Components 1 and 2 are represented on the x- and y-axis, respectively
Fig. 1 in The Chinese species of skipper butterflies in the tribe Tagiadini Mabille, 1878 (Lepidoptera: Hesperiidae): insights from phylogeny, hostplants, and biogeography
Fig. 1 Previous major phylogenetic studies on Tagiadini. Trees presented in individual studies were pruned to depict the relative relationships of representatives included in the present study. (Warren et al., 2008, 2009; Sahoo et al., 2017; Toussaint et al., 2018; Li et al., 2019)
Fig. 3 in The Chinese species of skipper butterflies in the tribe Tagiadini Mabille, 1878 (Lepidoptera: Hesperiidae): insights from phylogeny, hostplants, and biogeography
Fig. 3 Chronogram of Tagiadini divergence based on mean tmrca estimates. The scale bar is in units of millions of years. Lettered nodes are those for which tmrca was estimated. A filled star denotes a node for which a prior calibration was used. The results of the best BioGeoBEARS model (DEC + j) are also presented. Only the most
Butterflies of Switzerland/Europe DwCA
Open the record for dataset details and reuse information.
Dataset associated with publication of Farnworth et al "Mosaic evolution of a learning and memory circuit in Heliconiini butterflies"
<p>Dataset associated with publication of Farnworth et al "Mosaic evolution of a learning and memory circuit in Heliconiini butterflies"</p>
Novel sex-specific genes and diverse interspecific expression in the antennal transcriptomes of ithomiine butterflies"
<p>The following repository contains both the genomic and functional annotations for 4 Ithomiini species. Data that was used in GBE paper "Novel sex-specific genes and diverse interspecific expression in the antennal transcriptomes of ithomiine butterflies".</p>
Hyperspectral datacube and raw spatio-spectral images of Butterfly
<p>This dataset contains spectral data of four butterfly species: Hypolimnas Misippus (HM), Danaus Chrysippus (DC), Amauris Ochlea (AO), and Acraea Egina (AE). The data collection has been obtained with the help of International Institute of Tropical Agriculture (IITA) in Benin.</p> <p> It is structured as follows :</p> <ul> <li> `classification_test/` : Contains raw spatio-spectral images related to the testing of classification models. <ul> <li>`{species}/` : Contains the raw images for each butterfly `{species}`<br> </li> </ul> </li> <li>`datacube/` : Contains hyperspectral datacubes for each species, used to estimate Gaussian distribution parameters. <ul> <li>`{species}/cube {#No}` : Contains the specific datacube for the butterfly `{species}`</li> <li>`{filename}.dat` : Data file containing the primary spectral information of the butterfly `{species}`.</li> <li>`{filename}.dat.hdr` : Header file containing metadata for the corresponding `{filename}.dat` file, including information about dimensions, wavelengths, and other important parameters.</li> <li>`{filename}_mask.npy` : A NumPy array file that likely contains a mask to segment butterfy regions in the hyperspectral datacube.</li> </ul> </li> </ul>
How long is 3 kilometres for a butterfly? Ecological constraints and functional traits explain high mitochondrial genetic diversity between Sicily and the Italian Peninsula
<p>1. Populations inhabiting Mediterranean islands often show contrasting genetic lineages, even on islands that were connected to the mainland during glacial maxima. This pattern is generated by forces acting in historical and contemporary times. Understanding these phenomena requires comparative studies relating genetic structure, functional traits and dispersal constraints.</p> <p>2. Using as a model the butterfly species living across the Messina strait separating Sicily from the Italian Peninsula (3 km wide), we aimed to unravel the mechanisms limiting the dispersal of matrilines across a narrow sea strait and producing genetic differentiation. </p> <p>3. We analysed the mitochondrial COI gene of 84 butterfly species out of 90 documented in Sicily and compared them with populations from the neighbouring southern Italian Peninsula (1398 sequences) and from the entire Palearctic region (8093 sequences). For each species, we regressed 13 functional traits and two ecological constraints to dispersal (winds experienced at the strait and climatic suitability) against genetic differentiation between Sicily and Italian Peninsula to understand the factors limiting dispersal.</p> <p>4. More than a third of the species showed different haplogroups across the strait and most of them also represented endemic haplogroups for this island. One fifth of Sicilian populations (and 32.3% of endemic lineages) had their closest relatives in distant areas, instead of the neighbouring Italian Peninsula, which suggests high relictuality. Haplotype diversity was significantly explained by length of the flight period, an intrinsic phenology trait, while genetic differentiation was explained by both intrinsic traits (wingspan and degree of generalism) and contemporary local constraints (winds experienced at the strait and climatic suitability).</p> <p>5. A relatively narrow sea strait can produce considerable differentiation among butterfly matrilines and this phenomenon showed a largely deterministic fingerprint. Because of unfavourable winds, populations of the less dispersive Sicilian butterflies tended to differentiate into endemic variants or to maintain relict populations. Understanding these phenomena required the integration of DNA sequences, species traits and physical constraints for a large taxon at continental scale. Future studies may reveal if the patterns here shown for mitochondrial DNA are also reflected in the nuclear genome or, alternatively, are the product of limited female dispersal.</p>
Data from: Relative selectivity of plant cardenolides for Na+/K+-ATPases from the monarch butterfly and non-resistant insects
A major prediction of coevolutionary theory is that plants may target particular herbivores with secondary compounds that are selectively defensive. The highly specialized monarch butterfly (Danaus plexippus) copes well with cardiac glycosides (inhibitors of animal Na+/K+-ATPases) from its milkweed host plants, but selective inhibition of its Na+/K+-ATPase by different compounds has not been previously tested. We applied 17 cardiac glycosides to the D. plexippus-Na+/K+-ATPase and to the more susceptible Na+/K+-ATPases of two non-adapted insects (Euploea core and Schistocerca gregaria). Structural features (e.g., sugar residues) predicted in vitro inhibitory activity and comparison of insect Na+/K+-ATPases revealed that the monarch has evolved a highly resistant enzyme overall. Nonetheless, we found evidence for relative selectivity of individual cardiac glycosides reaching from 4- to 94-fold differences of inhibition between non-adapted Na+/K+-ATPase and D. plexippus-Na+/K+-ATPase. This toxin receptor specificity suggests a mechanism how plants could target herbivores selectively and thus provides a strong basis for pairwise coevolutionary interactions between plants and herbivorous insects.
Transgenerational inheritance of learned preferences for novel host plant odors in Bicyclus anynana butterflies
<p>Many phytophagous insects have strong preferences for their host plants, which they recognize via odors, making it unclear how novel host preferences develop in the course of insect diversification. Insects may learn to prefer new host plants via exposure to their odors and pass this learned preference to their offspring. We tested this hypothesis by examining larval odor preferences before and after feeding them with leaves coated with control and novel odors and by examining odor preferences again in their offspring. Larvae of the parental generation developed a preference for two of these odors over their development. These odor preferences were also transmitted to the next generation. Offspring of butterflies fed on these new odors chose these odors more often than offspring of butterflies fed on control leaves. In addition, offspring of butterflies fed on banana odors had a significant naïve preference for the banana odors in contrast to the naïve preference for control leaves shown by individuals of the parental generation. Thus, butterflies can learn to prefer novel host plant odors via exposure to them during larval development and transmit these learned preferences to their offspring. This ability potentially facilitates shifts in host plant use over the course of insect diversification.</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.