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FIGURE 4 in New data on the genus Eustrangalis Bates from China (Coleoptera: Cerambycidae, Lepturinae)
FIGURE 4. Male paratypes of Eustrangalis (Eustrangalis) fuscisuturalis sp. nov.; a–d. from Shengnongjia; e–f. from Dalaoling; scale: 5 mm.
Figure 1 in A new classification of the family Ariidae (Osteichthyes: Ostariophysi: Siluriformes) based on combined analyses of morphological and molecular data
Figure 1. MP analysis. Subfamilies (SF) Galeichthyinae (pink), Bagreinae (bright blue), and Ariinae (dark blue). Tribe (T) Ariini (blue), Cathopsini (orange), Genidentini tribe nov. (brown), and Sciadeini tribe nov. (light green). Subtribe (ST) Ariina (light blue) and Doiichthyina (green). Incertae sedis taxa (IS) (red). Numbers over branches correspond to the bootstrap support.
Data from: A new tool to improve the estimates of interaction rewiring considering the whole community composition
<p>Understanding temporal dynamics in ecological networks is crucial to predicting their capability to cope with global changes. Despite this, proper quantification of network dynamics still remains a challenge. Temporal dynamics are typically studied using data of interaction networks over time, through the evaluation of interaction turnover and its two components: changes related to species turnover (species gains and losses) or rewiring (switching partners among the set of species shared over time). However, with this approach based exclusively on network data, dynamics are computed similarly for species that are truly missing from the community at a given temporal period, and for species occurring in the community but that do not interact with any other. This might lead to an underestimation of the real extent of rewiring, while overestimating the species turnover component of interaction turnover.</p> <p>We used data on 20 plant-pollinator communities to calculate interaction turnover components accounting also for the species that occurred in the communities at different temporal periods but did not appear in some of the temporal interaction networks (non-interacting species), and then compared these estimates with conventional ones. Besides, we used empirical data and simulations to evaluate the extent to which dynamics estimates were affected by sampling effort when including and excluding non-interacting species.</p> <p>As expected, disregarding the non-interacting species that occur in the communities at different temporal periods leads to the underestimation of rewiring and the overestimation of species turnover as components of interaction turnover. Effect size was moderate when independent pollinator data were included, and large when including plants or both trophic levels. Simulations indicated that, in general, considering the non-interacting species reduced biases at the time of identifying changes due to the different interaction turnover components. Accounting for non-interacting species was particularly important to reduce bias when sampling effort was low and when dynamics were calculated seasonally. Despite sampling effort effects, phenology was the main determinant of species' rewiring frequencies.</p> <p>Our approach contributes to reducing biases and improving the estimates of interaction flexibility in networks, which are necessary to comprehend the response of communities in the face of global change.</p>
All-optical steering on the proton emission in laser-induced nanoplasmas - This is a new version. The data name of Figures 2 and 3 in version 2 is wrong, the data in Figure 2 correspods to Figure 3, and the data in Figure 3 correspods to Figure 2 in manuscript.
<p>all the raw data for the main figures of our literature "All-optical steering on the proton emission in laser-induced nanoplasmas"</p>
Data for the paper "The link between subsurface rheology and ejecta mobility: the case of small new impacts on Mars"
<p>Data for the paper "The link between subsurface rheology and ejecta mobility: the case of small new impacts on Mars".</p>
FIGURE 9 in A new species of Ducetia (Tettigoniidae, Phaneropterinae) from Mindanao, Philippines based on bioacoustics, stridulatory file morphology and genetic data
FIGURE 9. Dendrogram and the first-four best species partitions from ASAP analyses of COI sequences of 165 Ducetia specimens. ASAP, the header [x, y] represents the number of species delimited and the asap score; and the number in each partition represents the number of specimens grouped within the delimited species.
FIGURE 8 in A new species of Ducetia (Tettigoniidae, Phaneropterinae) from Mindanao, Philippines based on bioacoustics, stridulatory file morphology and genetic data
FIGURE 8. Habitats in the municipalities of Sibagat (A) and Bunawan (B), Agusan del Sur where Ducetia laniae sp. nov. was found.
FIGURE 7 in A new species of Ducetia (Tettigoniidae, Phaneropterinae) from Mindanao, Philippines based on bioacoustics, stridulatory file morphology and genetic data
FIGURE 7. Ducetia laniae sp. nov. ♂ calling song: oscillogram (A) and spectrogram (B) showing two echeme-sequences; oscillograms showing four echemes (C) and one echeme (D); power spectra of an echeme (E) where the gray line represents the power [dB] (axis name and scale in gray) and the black solid peak represents the relative amplitude (axis name in black).
FIGURE 5 in A new species of Ducetia (Tettigoniidae, Phaneropterinae) from Mindanao, Philippines based on bioacoustics, stridulatory file morphology and genetic data
FIGURE 5. Tooth distribution on the stridulatory file of Ducetia laniae sp. nov. ♂ based on tooth length (A) and inter-tooth distance (B).
FIGURE 6 in A new species of Ducetia (Tettigoniidae, Phaneropterinae) from Mindanao, Philippines based on bioacoustics, stridulatory file morphology and genetic data
FIGURE 6. Ducetia laniae sp. nov. ♀: habitus in lateral (A) and dorsal (B) views; head, pronotum and anterior part of tegmina in dorsal view (C); abdominal apex in lateral (D) and ventral (E) views. Scale bars: 5 mm (A, B); 2 mm (C–E).
FIGURE 4 in A new species of Ducetia (Tettigoniidae, Phaneropterinae) from Mindanao, Philippines based on bioacoustics, stridulatory file morphology and genetic data
FIGURE 4. Ducetia laniae sp. nov. ♂: head, pronotum and anterior part of tegmina in dorsal view (A); face in anterior view (B); head, pronotum and anterior part of tegmina in lateral view (C); stridulatory file of the left tegmen in ventral view (D); abdominal apex in lateral (E) and ventral (F) views. Scale bars: 2 mm (A, C, E, F); 1 mm (B, D).
FIGURE 5. A, B in Establishment of three new species of Rhabdoblatta Kirby, 1903 (Blattodea, Blaberidae, Epilamprinae) from China on the basis of molecular and morphological data
FIGURE 5. A, B Habitat of Rhabdoblatta maculosa Guo et Che, sp. n. from Longtang Villa, Guangdong Prov. C Male R. maculosa sp. n. from Longtang Villa, Guangdong Prov. D Female R. maculosa sp. n. from Longtang Villa, Guangdong Prov. All photos were taken by Ke-Liang Wu.
FIGURE 2 in Establishment of three new species of Rhabdoblatta Kirby, 1903 (Blattodea, Blaberidae, Epilamprinae) from China on the basis of molecular and morphological data
FIGURE 2. Rhabdoblatta maculosa Guo et Che, sp. n. A, B, E–N male; C, D female; A holotype, dorsal view; B holotype, ventral view; C paratype, dorsal view; D paratype, ventral view; E, F pronotum, dorsal view; G front femur, ventral view; H hind tarsi, ventral view; I tegmen; J wings; K supraanal plate, ventral view; L right phallomere, dorsal view; M median phallomere (sclerite L2D), dorsal view; N left phallomere (sclerite L3), dorsal view; O subgenital plate, dorsal view. Scale bars: 1.0 cm (A–D, I, J); 2.0 mm (E, F, H); 1.0 mm (G, K–O).
FIGURE 1 in Establishment of three new species of Rhabdoblatta Kirby, 1903 (Blattodea, Blaberidae, Epilamprinae) from China on the basis of molecular and morphological data
FIGURE 1. Maximum likelihood (ML) tree derived from COI sequences based on the K2P model. Branch labels are provided as bootstrap support values. Colored bars indicate different species delimitation by different methods A morphology (peach) B ABGD results (purple).
FIGURE 4 in Establishment of three new species of Rhabdoblatta Kirby, 1903 (Blattodea, Blaberidae, Epilamprinae) from China on the basis of molecular and morphological data
FIGURE 4. Rhabdoblatta cavicola Guo et Che, sp. n. A, B, E–N male; C, D female; A holotype, dorsal view; B holotype, ventral view; C paratype, dorsal view; D paratype, ventral view; E pronotum, dorsal view; F front femur, ventral view; G hind tarsi, ventral view; H tegmen; I wings; J supraanal plate, ventral view; K right phallomere, dorsal view; L median phallomere (sclerite L2D), dorsal view; M left phallomere (sclerite L3), dorsal view; N subgenital plate, dorsal view. Scale bars: 1.0 cm (A–D, H, I); 2.0 mm (E, G); 1.0 mm (F, J–N).
FIGURE 3 in Establishment of three new species of Rhabdoblatta Kirby, 1903 (Blattodea, Blaberidae, Epilamprinae) from China on the basis of molecular and morphological data
FIGURE 3. Rhabdoblatta equalisinensis Guo et Che, sp. n. A, B male; A holotype, dorsal view; B holotype, ventral view; C pronotum, dorsal view; D front femur, ventral view; E hind tarsi, ventral view; F tegmen; G wings; H supraanal plate, ventral view; I right phallomere, dorsal view; J median phallomere (sclerite L2D), dorsal view; K left phallomere (sclerite L3), dorsal view; L subgenital plate, dorsal view. Scale bars: 1.0 cm (A, B, F, G); 2.0 mm (C, E); 1.0 mm (D, H–L).
FIGURE 1 in A new species of Homidia (Collembola: Entomobridae) from Korea, with notes on its DNA data
FIGURE 1. Neighbor joining tree (using K2P model, bootstrap=1000) of Homidia spp. based on COI gene. Node values represent likelihood bootstrap valve.
FIGURES 12–17 in A new species of Homidia (Collembola: Entomobridae) from Korea, with notes on its DNA data
FIGURES 12–17. Homidia pseudokoreana sp. nov. 12, dorsal chaetotaxy of Th. II–III; 13, dorsal chaetotaxy of Abd. I–III; 14, hind foot complex; 15, trochanteral organ; 16, anterioror face of ventral tube; 17, posterior face and lateral flap of ventral tube. Scale bars: 12–13 = 100µm; 14–17 = 50µm. ˟ = bothriotricha and ø = psp (Fig 12–13).
FIGURES 4–11 in A new species of Homidia (Collembola: Entomobridae) from Korea, with notes on its DNA data
FIGURES 4–11. Homidia pseudokoreana sp. nov. 4, dorsal chaetotaxy of head; 5, lateral process of labial palp; 6, labrum; 7, labial base; 8, maxillary outer lobe; 9, apex of Ant. IV; 10, Ant. III organ; 11, base of Ant. II. Scale bars: 50µm. ˟ = bothriotricha (Fig 4).
FIGURES 18–25 in A new species of Homidia (Collembola: Entomobridae) from Korea, with notes on its DNA data
FIGURES 18–25. Homidia pseudokoreana sp. nov. 18, dorsal chaetotaxy of Abd. IV; 19, dorsal chaetotaxy of Abd. V; 20, ventro-apical part of manubrium; 21, manubrial plaque; 22–24, coxal chaetotaxy. 22, fore leg; 23, middle leg; 24, hind leg; 25, mucro; 26, hind foot complex. Scale bars: 18 = 100µm, 19–24 = 50µm, 25–26 = 20µm. ˟ = bothriotricha and ø = psp (Fig 18).
ScienceDex guides
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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.