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Figure 1. Thevenetimyia australiensis Hall, 1969 in A Review of the Australian Species of Thevenetimyia Bigot, 1875 (Bombyliidae, Bombyliinae, Eclimini), with Description of Four New Species and the Pupal Case of T. longipalpis (Hardy)
Figure 1. Thevenetimyia australiensis Hall, 1969 ♂ (holotype): (a) dorsal; (b) lateral; (c) flagellum; (d) wing; (e) head, dorsal; (f) head, lateral; (g) head, frontal; (h) head, profile. Scale bars = 1 mm (a, b, d–h); = 0.1 mm (c).
Figure 20 in A Review of the Australian Species of Thevenetimyia Bigot, 1875 (Bombyliidae, Bombyliinae, Eclimini), with Description of Four New Species and the Pupal Case of T. longipalpis (Hardy)
Figure 20. Thevenetimyia nigrapicalis (Roberts, 1929) ♂: (a) dorsal; (b) lateral; (c) flagellum; (d) head, dorsal; (e) head, lateral; (f) head, frontal; (g) head, profile. Scale bars = 1 mm (a, b, d–h); = 0.1 mm (c).
Figure 3. Thevenetimyia australiensis Hall, 1969 in A Review of the Australian Species of Thevenetimyia Bigot, 1875 (Bombyliidae, Bombyliinae, Eclimini), with Description of Four New Species and the Pupal Case of T. longipalpis (Hardy)
Figure 3. Thevenetimyia australiensis Hall, 1969 Genitalia (a–e (♂); f, g (♀)): (a) genital capsule, dorsal; (b) genital capsule, ventral; (c) genital capsule, lateral; (d) epandrium, dorsal; (e) epandrium, lateral; (f) sternite 8, ventral; (g) genitalia and spermathecae. Scale bars = 0.1 mm.
Figure 8 in A Review of the Australian Species of Thevenetimyia Bigot, 1875 (Bombyliidae, Bombyliinae, Eclimini), with Description of Four New Species and the Pupal Case of T. longipalpis (Hardy)
Figure 8. Thevenetimyia furvicostata (Roberts, 1929) ♀: (a) dorsal; (b) lateral; (c) head, dorsal; (d) head, lateral; (e) wing; (f) head, frontal; (g) head, profile. Scale bars = 1 mm.
paperChain - Video Animation - Circular Case 4 (Sweden)
<p>This animation video summarises in approximately two minutes the most relevant results of the implementation of paperChain's Circular Case.</p>
paperChain - Video Animation - Circular Case 3 (Slovenia)
<p>This animation video summarises in approximately two minutes the most relevant results of the implementation of paperChain's Circular Case.</p>
paperChain - Video Animation - Circular Case 1 (Portugal)
<p>This animation video summarises in approximately two minutes the most relevant results of the implementation of paperChain's Circular Case.</p>
paperChain - Video Animation - Circular Case 1 (Portugal) - Portuguese version
<p>This animation video summarises in approximately two minutes the most relevant results of the implementation of paperChain's Circular Case.</p>
Fig. 3 in Barcoding cryptic bumblebee taxa: B. lucorum, B. crytarum and B. magnus, a case study (Hymenoptera: Apidae: Bombus)
Fig. 3: Observed diagnostic character changes with position numbers mapped onto the Maximum- Likelihood tree. Black box = unambiguous diagnostic character change, grey box = ambiguous diagnostic character change, and white box = unambiguous character change.
Fig. 1 in Barcoding cryptic bumblebee taxa: B. lucorum, B. crytarum and B. magnus, a case study (Hymenoptera: Apidae: Bombus)
Fig. 1: Tree topology calculated as Maximum-Likelihood tree using Bayesian MCMC analysis with the general time reversal model of base substitutions, gamma distribution and 5 000 000 generations.
Fig. 4 in Barcoding cryptic bumblebee taxa: B. lucorum, B. crytarum and B. magnus, a case study (Hymenoptera: Apidae: Bombus)
Fig. 4: Summary of Barcode engine identification requests for specimens with identification problems (LUC-01, LUC-09, LUC-10, MAG-10, CRY-01 and CRY-10) or degraded DNA (B. lucorum terrestricoloratus, B. reinigi, B. magnus turkestanicus and new sequence for B. sp. BVP-A, AY181116). For details of misidentifications and misnamings see text.
Fig. 2.1-4 in Barcoding cryptic bumblebee taxa: B. lucorum, B. crytarum and B. magnus, a case study (Hymenoptera: Apidae: Bombus)
Fig. 2.1-4: Alignment of all parsimonious informative triplets (with uninformative sites deleted -), and with a pointer for position number (numbered for total COI) and codon position. Diagnostic (= private) positions marked with colour: green = Thymine, violet = Cytosine, red = Adenine and yellow = Guanine.
Fig. 6 in Spatiotemporal dynamics of insect diversity in tropical seasonal forests is linked to season and elevation, a case from northern Thailand
Fig. 6. Variation in Equitability (J) and Berger-Parker dominance (DBP) of Diptera (A) and Auchenorrhyncha (B) during 12 months of sampling over six 500 m elevation zones at Doi Inthanon in 2014. Values of J (bars) and DBP (lines) were computed in PAST and 95% confidence intervals obtained by bootstrapping using 9999 random samples. In Kruskal-Wallis H-tests there was a significant difference between the medians for Berger-Parker dominance in Diptera (H = 26.7, p <0.01) and Auchenorrhyncha (H = 14.9, p <0.01). Equitability was significantly different for Diptera (H = 36.5, p <0.01) but not for Auchenorrhyncha (H = 10.7, p = 0.0582).
Fig. 10 in Spatiotemporal dynamics of insect diversity in tropical seasonal forests is linked to season and elevation, a case from northern Thailand
Fig. 10. Variation in Mean Monthly Turnover (βwM) of Diptera (A) and Auchenorrhyncha (B) during 12 months of sampling over six 500 m elevation zones at Doi Inthanon in 2014. The mean value of βwM in each elevation zone ± standard error is indicated. Note that the vertical axis does not extend to zero. In Kruskal-Wallis H-tests there was a significant difference between the medians for Diptera (H = 29.0, p <0.01) and Auchenorrhyncha (H = 22.1, p <0.01).
Fig. 2 in Spatiotemporal dynamics of insect diversity in tropical seasonal forests is linked to season and elevation, a case from northern Thailand
Fig. 2. Observed species richness (Sobs) of Diptera and Auchenorrhyncha trapped in six elevation zones over 12 months sampling at Doi Inthanon in 2014. Diptera, open circles; Auchenorrhyncha, closed circles.). In Kruskal-Wallis H-tests there was a significant difference between the medians for Diptera (H = 22.1, p <0.01) and Auchenorrhyncha (H = 14.3, p <0.05).
Fig. 1. Relative abundance, A in Spatiotemporal dynamics of insect diversity in tropical seasonal forests is linked to season and elevation, a case from northern Thailand
Fig. 1. Relative abundance, A* (number of individuals caught. trap-1. month-1) of Diptera and Auchenorrhyncha trapped in six elevation zones over 12 months sampling at Doi Inthanon in 2014. Standard errors indicated. Note log10 scale. Data were fitted to a linear regression model in PAST; Diptera, open circles (r2 = 0.8567, p = 0.0081); Auchenorrhyncha, closed circles (r2 = 0.3182, p = 0.2434). In Kruskal-Wallis H-tests of untransformed data there was a significant difference between the medians for Diptera (H = 29.3, p <0.01) but not for Auchenorrhyncha (H = 3.3, p = 0.657).
Fig. 8 in Spatiotemporal dynamics of insect diversity in tropical seasonal forests is linked to season and elevation, a case from northern Thailand
Fig. 8. Variation in species turnover measured as βw of Diptera (a) and Auchenorrhyncha (b) during 12 months of sampling over six 500 m elevation zones at Doi Inthanon in 2014. Pairwise calculations of βw between each quadrat of a grid of elevation and month with the quadrat with maximum species richness (April/1,500–2,000 m quadrat for Diptera and June/500–1,000 m quadrat for Auchenorrhyncha) were mapped using the multiquadric gridding algorithm in the gridding module of PAST. Values of βw (indicated by colour scale bar) vary between 0 (complete identity) and 1.0 (complete non-identity). Data are not available for January and February at <500 m and 500–1,000 m.
Fig. 3. Relative abundance, A in Spatiotemporal dynamics of insect diversity in tropical seasonal forests is linked to season and elevation, a case from northern Thailand
Fig. 3. Relative abundance, A* (number of individuals caught. trap-1. month-1) of Diptera and Auchenorrhyncha over 12 months sampling at Doi Inthanon in 2014. Standard errors indicated. Note log10 scale. In Kruskal-Wallis H-tests of untransformed data there was a significant difference between the medians for Diptera (H = 24.5, p <0.05) and Auchenorrhyncha (H = 34.3, p <0.01).
Fig. 9 in Spatiotemporal dynamics of insect diversity in tropical seasonal forests is linked to season and elevation, a case from northern Thailand
Fig. 9. Spatiotemporal variation in species turnover measured as Mean Local Turnover βwL of Diptera (A) and Auchenorrhyncha (B) trapped during 12 months of sampling over six 500 m elevation zones at Doi Inthanon in 2014. Data were plotted on a grid of elevation zone (vertical axis) and months (horizontal axis) and mapped using the multiquadric gridding algorithm in the gridding module of PAST. Values of βwL (indicated by colour scale bar) vary between 0 (complete identity) and 1.0 (complete non-identity). Data are not available for January and February at <500 m and 500–1,000 m.
Fig. 7 in Spatiotemporal dynamics of insect diversity in tropical seasonal forests is linked to season and elevation, a case from northern Thailand
Fig. 7. Monthly variation in Equitability (J) of Diptera assemblages during 12 months of sampling over six 500 m elevation zones at Doi Inthanon in 2014. Only points linking data from elevation zones 2,000–2,500 m and>2,500 m are connected by lines. Equitability declines profoundly at higher elevations between September and November indicating a decline in evenness of Diptera assemblages with corresponding prevalence of a number of relatively abundant species compared with other times of year and other elevations.
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.