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”
FIGURE 6 in New taxa and new records of butterflies (Lepidoptera: Pieridae, Lycaenidae, Nymphalidae) from Afghanistan
FIGURE 6. Karanasa pamira biocellata subsp. nov., Holotype, ♂, Afghanistan, Prov. Kapisa, Dar.-e-Pandjshir, Kotal-e-Zerja (Dehkak), 4000 m, 25.7.1972, leg. Khoram (SMNK).
FIGURE 17 in New taxa and new records of butterflies (Lepidoptera: Pieridae, Lycaenidae, Nymphalidae) from Afghanistan
FIGURE 17. Lycaena kasyapa, ♂, Afghanistan, Nuristan: Bashgal, vic. Barg-e-Matal, Menalgal, 4000 m, 23.7.1972, leg. Pardes (SMNK).
FIGURE 34 in New taxa and new records of butterflies (Lepidoptera: Pieridae, Lycaenidae, Nymphalidae) from Afghanistan
FIGURE 34. Karanasa leechi leechi, ♂, Afghanistan, Prov. Badakhshan, Grosser Pamir, Darrah-e-Istmodj, 4100 m, 4.8.1971, leg. G. Ebert & C. Naumann (SMNK).
FIGURE 39 in New taxa and new records of butterflies (Lepidoptera: Pieridae, Lycaenidae, Nymphalidae) from Afghanistan
FIGURE 39. Satyrus ferula altaica, ♂, Afghanistan, Prov. Kapisa, Dar.-e-Pandjshir, Darrah-e-War, 30.7.1972 (SMNK). FIGURE 40. Satyrus pimpla magna, ♂, Afghanistan, Prv. Kunar-Nuristan, ob. Lindai Sin-Tal, vic. Barg e Matal, Dándizenor., 4000 m, 15.7.1970, leg. Naumann (SMNK).
FIGURE 5. Karanasa spp. 5.1. K in New taxa and new records of butterflies (Lepidoptera: Pieridae, Lycaenidae, Nymphalidae) from Afghanistan
FIGURE 5. Karanasa spp. 5.1. K. naumanni sp. nov., Paratype, ♂, Afghanistan, Prov. Kapisa, Dar.-e-Pandjshir, Parian, 9.8.1972, leg. Pardes (SMNK); 5.2. K. haslundi ♂, Afghanistan, Maidan, Kotal-e-Unai, 3000 m, 25.6.1970, leg. Nauman (SMNK); 5.3. K. pamira titan ♂, Afghanistan, Darr.-e.-Pandshir, vic. Ghendju, Dar.-e-Gendju, 3000 m, 27.7.1972, leg. N. M. Khoram (SMNK); 5.4. K. haslundi ♂, Afghanistan, Prov. Ghor, Kotal-e-Narges, W-Ste., D.-e-Godar, ca. 3200 m, 9.7.1976, leg. C. Naumann (SMNK).
FIGURE 14 in New taxa and new records of butterflies (Lepidoptera: Pieridae, Lycaenidae, Nymphalidae) from Afghanistan
FIGURE 14. Hyrcanana evansii, ♂, Afghanistan, Pr. Kunar, Nuristan ob, Lindai Sin-Tal, vic. Barg e Matal, Dándizenor mts., 3100 m, 13–14.7.1970, leg. Naumann (SMNK).
FIGURE 3 in New taxa and new records of butterflies (Lepidoptera: Pieridae, Lycaenidae, Nymphalidae) from Afghanistan
FIGURE 3. Karanasa naumanni sp. nov., Holotype, ♂, Afghanistan, Prv. Kunar-Nuristan, ob. Lindai Sin-Tal, vic. Barg-e Matal, Dándizenor mts., 3800 m, 14.07.1970, leg. Naumann (SMNK).
FIGURE 11 in New taxa and new records of butterflies (Lepidoptera: Pieridae, Lycaenidae, Nymphalidae) from Afghanistan
FIGURE 11. Deudoryx epijarbas, ♂, Afghanistan, Pr. Kunar, Nuristan unt, Lindai Sin-Tal, Kamu-Hotelgarten, 1600 m, 26.10.1970, leg. C. Naumann (SMNK).
FIGURE 29 in New taxa and new records of butterflies (Lepidoptera: Pieridae, Lycaenidae, Nymphalidae) from Afghanistan
FIGURE 29. Coenonympha nolckeni, ♂, Afghanistan, Prov. Badakhshan, 15 km NO Baharak, Kotal-e-Zardeu, Pas-Darrah, 3200 m, 30.6.1971, leg. G. Ebert & C. Naumann (SMNK).
FIGURE 5 in Bedazzled: a new, striking species of Corades from the outskirts of Quito questions our knowledge of Andean cloud forest butterflies (Lepidoptera, Nymphalidae, Satyrinae)
FIGURE 5. Habitat of Corades yanacocha sp. n. at 3500 m s.s.l. in the Yanacocha Biological Reserve (phot. P. Boyer).
FIGURE 1 in Bedazzled: a new, striking species of Corades from the outskirts of Quito questions our knowledge of Andean cloud forest butterflies (Lepidoptera, Nymphalidae, Satyrinae)
FIGURE 1. ML COI based tree of Corades occurring in the northern Andes indicating the position of C. yanacocha sp. n. with bootstrap values on the nodes. Values less than 70 are not shown.
FIGURE 4 in Bedazzled: a new, striking species of Corades from the outskirts of Quito questions our knowledge of Andean cloud forest butterflies (Lepidoptera, Nymphalidae, Satyrinae)
FIGURE 4. Corades yanacocha sp. n. male genitalia, A. in lateral view, B. aedeagus in lateral view, C. aedeagus in dorsal view.
A database of Defra statutory biodiversity metric unit values for terrestrial habitat samples across England, with plant, butterfly and bird species data
<p>Policies requiring biodiversity no net loss or net gain as an outcome of environmental planning have become more prominent worldwide, catalysing interest in biodiversity offsetting as a mechanism to compensate for development impacts on nature. Offsets rely on credible and evidence-based methods to quantify biodiversity losses and gains. Following the introduction<span> of the United Kingdom's Environment Act in November 2021, all new developments requiring planning permission in England are expected to demonstrate a 10% biodiversity net gain from 2024, calculated using the statutory biodiversity metric framework (Defra, 2023). </span><span>The metric is used to calculate both baseline and proposed post-development biodiversity units, and is </span>set to play an increasingly prominent role in nature conservation nationwide.<span> </span><span>The metric has so far </span>received limited scientific scrutiny.</p> <p><span>This dataset comprises a database of statutory biodiversity metric unit values for terrestrial habitat samples across England. For each habitat sample, we present </span><span>biodiversity units alongside five long-established single-attribute proxies for biodiversity (</span><span>species richness, individual abundance, number of threatened species, mean species range or population, mean species range or population change)</span><span>. </span><span>Data were compiled </span><span>for species from three taxa (vascular plants, butterflies, birds), from sites across England. The dataset includes 24 sites within </span>grassland, wetland, woodland and forest, sparsely vegetated land, cropland, heathland and shrub, i.e. <span>all terrestrial broad habitats except urban and individual trees. Species data were reused from long-term ecological change monitoring datasets</span> (mostly in the public domain), whilst biodiversity units were calculated following field visits. Fieldwork was carried out in April-October 2022 to calculate biodiversity units for the samples. <span>Sites were initially assessed using metric version 3.1, which was current at the time of survey, and were subsequently updated to the statutory metric for analysis using field notes and species data. </span>Species data <span>were derived from </span>24 <span>long-term ecological change monitoring</span> sites across the Environmental Change Network (ECN), Long Term Monitoring Network (LTMN) and Ecological Continuity Trust (ECT), collected between 2010 and 2020.</p>
FIGURE 112 in Introduction to the analysis, synthesis, and comparisons of endemic butterflies in Mexico
FIGURE 112. Sampling level of biogeographic provinces based on endemic butterflies of Mexico and proposed sampling priority. Circles represent the sampling level of each family in each province (Pa, Papilionidae; Pi, Pieridae; N, Nymphalidae; L, Lycaenidae; and R, Riodinidae). Colors in the circles according to data quality and species richness estimation: Red, No data; Yellow, Insufficient data for estimation by family; Green, Adequate data for estimation. The shade of green indicates the sampling quality: low (light green), medium (olive green), and high (dark green). The sampling level was determined by the completeness percentage and the relationship between the number of estimated endemic species and the standard error of the estimation. A relatively large standard error indicates the presence of rarer species and a lower sampling level. Colors on the biogeographic provinces indicate sampling priority order for endemic butterfly species (1–14). Provinces with a low sampling level have the highest priorities, and within each sampling level category (low, medium, high), priority was given to provinces with the highest landscape diversity (See Table 2). This spectrum represents the level of knowledge about endemic species in each province, considering sampling level and landscape heterogeneity. Limits on the map correspond to biogeographic provinces in Mexico (sensu Morrone, 2005).
FIGURE 118 in Introduction to the analysis, synthesis, and comparisons of endemic butterflies in Mexico
FIGURE 118. Altitudinal distribution of endemic Lycaenidae in Mexico. Left: records (bars) and species richness (line) by altitudinal level; Right: geographic distribution of the family. Limits in the map correspond to biogeographic provinces in Mexico (sensu Morrone, 2005). The image only illustrates one of the species of the family (not the geographical distribution of this species): Micandra tongida, Clench, species distributed in the central part of the country (12 records from seven sites at the boundary of four biogeographic provinces).
FIGURES 99–102. 99 in Introduction to the analysis, synthesis, and comparisons of endemic butterflies in Mexico
FIGURES 99–102. 99, Emesis saturata, E. planeca, Apodemia mejicanus maxima, A. virgulti dialeuca and A. hepburni remota; 100, Apodemia palmerii australis, A. murphyi, A. selvatica and A. hypoglauca wellingi; 101, Caria stillaticia; 102, Caria melino and C. i. ino.
FIGURES 91–94. 91 in Introduction to the analysis, synthesis, and comparisons of endemic butterflies in Mexico
FIGURES 91–94. 91, Eueides isabella nigricornis and Heliconius erato cruentus; 92, Speyeria nokomis sspp.; 93, Euselasia oaxacensis, E. pusilla mazai, E. aurantiaca aurum and E. pontasis; 94, Mesosemia gemina and Mesene jimena.
FIGURES 95–98. 95 in Introduction to the analysis, synthesis, and comparisons of endemic butterflies in Mexico
FIGURES 95–98. 95, Voltinia danforthi and Synargis nymphidioides sspp.; 96, Theope villai and T. publius incompositus; 97, Apodemia arnacis and Emesis poeas; 98, Pachythone velazquezi and Lasaia maria anna.
FIGURE 117 in Introduction to the analysis, synthesis, and comparisons of endemic butterflies in Mexico
FIGURE 117. Altitudinal distribution of endemic Riodinidae in Mexico. Left: records (bars) and species richness (line) by altitudinal level; Right: geographic distribution of the family. Limits in the map correspond to biogeographic provinces in Mexico (sensu Morrone, 2005). The image only illustrates one of the species of the family (not the geographical distribution of this species): Apodemia murphyi Austin, species with a Nearctic distribution, restricted to the Baja California Peninsula.
FIGURES 79–82. 79 in Introduction to the analysis, synthesis, and comparisons of endemic butterflies in Mexico
FIGURES 79–82. 79, Texola anomalus sspp.; 80, Texola elada sspp.; 81, Chlosyne definita anastasia, C. eumeda sspp., C. kendallorum and C. melitaeoides haghenbecki; 82, Chlosyne ehrenbergii.
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.