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.
47
datasets available to search
ShareScore release 0.9.0
Dataset results
47 results for “Parnassius”
Demographic fluctuations lead to rapid and cyclic shifts in genetic structure among populations of an alpine butterfly, Parnassius smintheus
Open the record for dataset details and reuse information.
Fig. 1.- Habitus. a.- P. apollo nevadensis, macho. b.- P in Distribución, actualizada y corregida, y estado de conservación de cuatro subespecies de Parnassius apollo (Linnaeus, 1758) (Lepidoptera, Papilionidae) en el tercio sur de la Península Ibérica (E Andalucía, S España).
Fig. 1.- Habitus. a.- P. apollo nevadensis, macho. b.- P. apollo mariae, hembra.
Der Hochalpen-Apollo Parnassius sacerdos. (Foto Jürgen Hensle) in Vereinsausflug des EVB 2018 nach Arolla (VS)
Der Hochalpen-Apollo Parnassius sacerdos. (Foto Jürgen Hensle)
Figure 26 in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)
Figure 26. Detailed distributional map of P. arcticus arbugaevi and P. arcticus shavlovi.
Figures 20−21 in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)
Figures 20−21. Landscapes on the Arga-Tas Range (photo by Y. Bakhaev).
Figure 23 in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)
Figure 23. Host plants of P. arcticus shavlovi: Corydalis gorodkovii (photo by Y. Bakhaev)
Figure 22. P in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)
Figure 22. P. arcticus shavlovi (male) on the flower of Smelowskia jacutica (photo by Y. Bakhaev).
Figure 19. P in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)
Figure 19. P. arcticus shavlovi in nature, female (photo by Yu. Bakhaev).
Figure 18. P in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)
Figure 18. P. arcticus shavlovi in nature, male (photo by Yu. Bakhaev).
Phylogenomics reveal extensive phylogenetic discordance due to incomplete lineage sorting following the rapid radiation of alpine butterflies (Papilionidae: Parnassius)
<p><span><span>In rapid radiation, the earliest components of evolutionary divergence are often difficult to resolve, which were always driven by the characteristics of taxa and the limitations of alternative analytical methods</span>. </span><span>The origin and radiation of the alpine butterfly <em>Parnassius</em>, a high-altitude mountainous insect group, can be attributed to the uplift of the Qinghai-Tibet Plateau (QTP). Despite detailed phylogenetic analyses of the genus, deep phylogenetic relationships among the major subgenera remain recalcitrant. In this study, 102 individuals from 10 representative <em>Parnassius</em> species were sampled to resolve the phylogenetic relationships among subgenera based on nuclear and mitochondrial genome data sets. Gene-tree/species-tree conflicts were detected by concatenation and multispecies coalescent (MSC) approaches. We recovered a well-supported species tree, despite these conflicts, and detected considerable phylogenetic discordance among genomic regions. The main explanation for the topological discordance among subgenera was extensive incomplete lineage sorting (ILS), whereas introgression events were not prominent. The origin and explosive radiation of <em>Parnassius</em> (i.e., rapid succession of speciation events) in the late Miocene associated with environmental events on the plateau led to short internal branches, thereby increasing ILS and topological conflicts, especially among closely related subgenera. Our results also suggested that MSC approaches (SNAPP and SVDquartets) are accurate and superior to the concatenation approach; in particular, SVDquartets can explicitly accommodate gene-tree/species-tree conflicts caused by high ILS and demonstrate strong robustness. Lastly, we explored the phylogenomic data by testing multiple sources of phylogenomic conflict to clarify the strengths and limitations of different approaches, while considering phylogenetic signal variation in mitochondrial loci. We anticipate that the phylogeny described here will be the backbone of future evolutionary studies of the genus and will provide insight into phylogenetic discordance due to rapid radiation.</span></p>
Phylogenomics reveal extensive phylogenetic discordance due to incomplete lineage sorting following the rapid radiation of alpine butterflies (Papilionidae: Parnassius)
Open the record for dataset details and reuse information.
Parnassius smintheus SNP and associated weather and landscape variables
Open the record for dataset details and reuse information.
Data from: From 20 to 2? Landmark-based geometric morphometrics reveal negligible wing-shape divergence between 20 subspecies of the Apollo butterfly, Parnassius apollo (Lepidoptera, Papilionidae), in the Carpatho-Pannonian region
Open the record for dataset details and reuse information.
Data from: Pivotal effect of early-winter temperatures and snowfall on population growth of alpine Parnassius smintheus butterflies
Geographic range shifts in species' distributions, due to climate change, imply altered dynamics at both their northern and southern range limits, or at upper and lower elevational limits. There is therefore a need to identify specific weather or climate variable(s), and life stages or cohorts on which they act, and how these affect population growth. Identifying such variables permits prediction of population increase or decline under a changing climate, and shifts in a species' geographic range. For relatively well studied groups, such as butterflies, geographic range shifts are well documented, but weather variables and mechanisms causing those shifts are not well known. The Holarctic butterfly genus Parnassius (Papilionidae) inhabits northern and alpine environments subject to variable and extreme weather. As such, Parnassius species are vulnerable not only to long-term changes in average conditions but especially to short-term extreme weather events. We use population growth estimates for the alpine butterfly, Parnassius smintheus, from 21 populations in the Rocky Mountains of Canada, over a 20-year interval, combined with techniques of machine learning (randomForests) and parametric modeling to identify the important weather variables determining population growth. We do this to determine the seasons and life-stages of P. smintheus most affected by climate change. Extreme minimum and maximum temperatures in November, in combination with November snowfall, affect annual population growth most, more so than do mean temperatures in November, and more so than weather at any other time of year. Populations decline both in years with low extreme minimum temperatures in November, and especially in years with high extreme maximum temperatures in November, indicating that overwintering eggs are particularly vulnerable to early-winter weather. Snowfall ameliorates the negative effects of extreme temperatures, particularly for extreme warm events. Results provide insight into biological mechanisms by which over-wintering eggs might be affected by early winter weather. Short-term extreme weather in November, acting on a single pivotal life-stage (egg) is a far better predictor of population change of alpine Parnassius smintheus butterflies than is the general index of climate, the Pacific Decadal Oscillation (PDO).
Subspecies and Distribution. L.e.europaeusPallas,1778—WesternEurope. L. e. caspicus Hemprich & Ehrenberg, 1832 — Lower Volga, Kalmykia (Russia) and W Kazakhstan. JR e. connor Robinson, 1918 — NW Iran. e. creticus Barrett-Hamilton, 1903 — Crete (Greece). a e. cyprius Barrett-Hamilton, 1903 — Cyprus. e. cyrensis Satunin, 1905 — Azerbaijan, Transcaucasia. a e. hybridus Desmarest, 1822 — Baltic States, Belarus, Ukraine, Finland, W & C Russia. Sl e. judeae Gray, 1867 — Palestine. aE e. karpathorum Hilzheimer, 1906 — Carpathian Mts. all e. medius Nilsson, 1820 — Denmark. al e. occidentalis de Winton, 1898 — Great Britain. ul e. parnassius Miller, 1903 — C Greece. el. e. ponticus Ognev, 1929 — Black Sea coast (Russia). ul. e. rhodius Festa, 1914 — Rhodes (Greece). Bl e. syriacus Hemprich & Ehrenberg, 1832 — Syria. ab. e. transsylvanicus Matschie, 1901 — E & SE Europe. in Leporidae
Subspecies and Distribution. L.e.europaeusPallas,1778—WesternEurope. L. e. caspicus Hemprich & Ehrenberg, 1832 — Lower Volga, Kalmykia (Russia) and W Kazakhstan. JR e. connor Robinson, 1918 — NW Iran. e. creticus Barrett-Hamilton, 1903 — Crete (Greece). a e. cyprius Barrett-Hamilton, 1903 — Cyprus. e. cyrensis Satunin, 1905 — Azerbaijan, Transcaucasia. a e. hybridus Desmarest, 1822 — Baltic States, Belarus, Ukraine, Finland, W & C Russia. Sl e. judeae Gray, 1867 — Palestine. aE e. karpathorum Hilzheimer, 1906 — Carpathian Mts. all e. medius Nilsson, 1820 — Denmark. al e. occidentalis de Winton, 1898 — Great Britain. ul e. parnassius Miller, 1903 — C Greece. el. e. ponticus Ognev, 1929 — Black Sea coast (Russia). ul. e. rhodius Festa, 1914 — Rhodes (Greece). Bl e. syriacus Hemprich & Ehrenberg, 1832 — Syria. ab. e. transsylvanicus Matschie, 1901 — E & SE Europe.
Fig. 4 in Genetic structure of Parnassius mnemosyne (Lepidoptera: Papilionidae) populations in the Carpathian Basin
Fig. 4 Results of Bayesian clustering analyses in P. mnemosyne. The bar plots of all individuals assuming K = 2 and K = 3. NM North Hungarian Mountains, TM Transdanubian Mountains, KÖR Körös region, BAEC Bereg–Apuseni–East Carpathian region
Dual expansion routes likely underlie the present-day population structure in a Parnassius butterfly across the Japanese Archipelago
Open the record for dataset details and reuse information.
Data from: Pivotal effect of early-winter temperatures and snowfall on population growth of alpine Parnassius smintheus butterflies
Open the record for dataset details and reuse information.
Supplementary material 1 from: Jaun A, Wymann H-P, Lucek K (2022) Lack of genetic structure suggests high connectivity of Parnassius phoebus between nearby valleys in the Alps. Alpine Entomology 6: 1-6. https://doi.org/10.3897/alpento.6.80405
Table S1
Fig. 3 in Distribución, actualizada y corregida, y estado de conservación de cuatro subespecies de Parnassius apollo (Linnaeus, 1758) (Lepidoptera, Papilionidae) en el tercio sur de la Península Ibérica (E Andalucía, S España).
Fig. 3.- Cuadrículas UTM erróneas (N Sierra Nevada): 30SVG81 (Lanteira); y 30SVG91 (Aldeire, Ferreira).
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.