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FIGURE 11 in On the genus Mimela Kirby, 1823 (Coleoptera: Scarabaeidae: Rutelinae) from China and adjacent countries, with description of five new species
FIGURE 11. Habitus of Mimela spp. A–D, M. hauseri Ohaus, 1943; A–B, male (Biaoshuiyan); C, female (Mt. Maoershan); D, male (Mt. Dayaoshan); E–F, M. foveola Benderitter, 1929 (Biaoshuiyan); A, C–E, dorsal view; B, F, ventral view.
FIGURE 10 in On the genus Mimela Kirby, 1823 (Coleoptera: Scarabaeidae: Rutelinae) from China and adjacent countries, with description of five new species
FIGURE 10. Habitus of Mimela admixta Zhao, new species. A–B, holotype; C–E, female paratypes (Daweishan); A, C–D, dorsal view; B, E, ventral view.
FIGURE 5 in On the genus Mimela Kirby, 1823 (Coleoptera: Scarabaeidae: Rutelinae) from China and adjacent countries, with description of five new species
FIGURE 5. Habitus of Mimela seminigra Ohaus, 1902. A–C, male (Huanglianshan); D, male (Mt. Jianfengling); E, female (Zhangping); A, D–E, dorsal view; B, ventral view; C, lateral view.
FIGURE 15. A–E in On the genus Mimela Kirby, 1823 (Coleoptera: Scarabaeidae: Rutelinae) from China and adjacent countries, with description of five new species
FIGURE 15. A–E, Mimela ruyuanensis Lin, 1990 (Gaozhai); F–K, M. fruhstorferi Ohaus, 1902 (images ©Carsten Zorn) in CZPC; A–B, F–G, habitus of male; C–E, H–J, male genitalia; A, C, F, H, dorsal view; B, E, G, J, lateral view; D, I, ventral view; K, attached labels.
FIGURE 18 in On the genus Mimela Kirby, 1823 (Coleoptera: Scarabaeidae: Rutelinae) from China and adjacent countries, with description of five new species
FIGURE 18. Habitus and male genitalia of Mimela vitalisi Ohaus, 1914 (Dawuling). A, habitus in dorsal view; B, habitus in lateral view; C, male genitalia in dorsal view; D, male genitalia in ventral view; E, male genitalia in lateral view.
FIGURE 4 in On the genus Mimela Kirby, 1823 (Coleoptera: Scarabaeidae: Rutelinae) from China and adjacent countries, with description of five new species
FIGURE 4. Habitus of Mimela semirubra Zhao, new species. A–C, holotype; D, male paratype (Xiaodifang Village); E, female paratype (Maku Village); F, female paratype (Sudian); A, D–F, dorsal view; B, ventral view; C, lateral view.
FIGURE 7 in On the genus Mimela Kirby, 1823 (Coleoptera: Scarabaeidae: Rutelinae) from China and adjacent countries, with description of five new species
FIGURE 7. Habitus of Mimela varichroma Zhao, new species. A–C, holotype; D–F, male paratypes (Hulukou); A, D–F, dorsal view; B, ventral view; C, lateral view.
FIGURE 8 in On the genus Mimela Kirby, 1823 (Coleoptera: Scarabaeidae: Rutelinae) from China and adjacent countries, with description of five new species
FIGURE 8. Habitus and male genitalia of Mimela varichroma Zhao, new species. A–C, female paratypes (Hulukou); D–E, male genitalia of holotype; A, C, D, dorsal view; B, F, lateral view; E, ventral view.
LiDAR Data Enrichment By Fusing Spatial and Temporal Adjacent Frames
<p>This is an accompanying video for the manuscript 'LiDAR Data Enrichment By Fusing Spatial and Temporal Adjacent Frames'. This video shows the comparison between the original LiDAR point cloud and the enriched LiDAR point cloud.</p>
Figure 4 in Benthic harpacticoid copepods of the Yenisei Gulf and the adjacent shallow waters of the Kara Sea
Figure 4. Multi-dimensional scaling (MDS-ordination) plot of stations based on Gamma+ taxonomic similarity and factored by the species assemblages.
Figure 2 in Benthic harpacticoid copepods of the Yenisei Gulf and the adjacent shallow waters of the Kara Sea
Figure 2. Total harpacticoid abundance (a), number of species (b) and Margalef's diversity index (c, d) plotted against the distance from the river mouth (a–c) and chlorophyll a content in water (d). Lines show the second-order polynomial approximations, squared multiple correlation values (R2) are given.
Figure 3 in Benthic harpacticoid copepods of the Yenisei Gulf and the adjacent shallow waters of the Kara Sea
Figure 3. Canonical correspondence analysis (CCA-ordination) (axis 1 versus axis 2) based on squareroot transformed harpacticoid abundances. Plot of stations versus environmental variables is shown. Environmental variables are: surface water salinity (SALSURF), near-bottom salinity (SALBOT), depth (DEPTH), distance from the river mouth (DISTANCE), mean particle size (MPS), silt-clay content (SILT/ CLAY), sediment sorting (SORTING), turbidity (TURBID), chlorophyll a (Chl a) content in water column (CHLa) and near-bottom temperature (TEMP). Assemblage labelling: (a) (squares), (b) (triangles), (c) (circles), (d) (diamonds).
Figure 3 in Depth structuring of pelagic copepod biodiversity in waters adjacent to an Eastern Indian Ocean coral reef
Figure 3. Percentage composition of the zooplankton community at LA, contrasted with that in the five depth strata sampled at CH, NE and SW. The data are pooled over all Locations and Cruises. Note that there is an order of magnitude difference in abundance from the mixed layer (<100 m) to the 300–400 m stratum (Table 1).
Figure 2 in Depth structuring of pelagic copepod biodiversity in waters adjacent to an Eastern Indian Ocean coral reef
Figure 2. Representative vertical profiles of temperature, salinity, density and chlorophyll fluorescence at SW on each of the four cruises.
Figure 5 in Depth structuring of pelagic copepod biodiversity in waters adjacent to an Eastern Indian Ocean coral reef
Figure 5. Redundancy analysis displaying relationships between zooplankton samples, locations and depths.
Figure 1 in Depth structuring of pelagic copepod biodiversity in waters adjacent to an Eastern Indian Ocean coral reef
Figure 1. Scott Reef, eastern Indian Ocean, with the location of the four stations sampled: LA, CH, NE and SW.
Figure 3 in Structure of mesozooplankton community in the Barents Sea and adjacent waters in August 2009
Figure 3. Temperature–salinity diagram for all top-to-bottom/100 m CTD data in the Barents Sea and adjacent waters in August 2009.
Figure 2 in Structure of mesozooplankton community in the Barents Sea and adjacent waters in August 2009
Figure 2. Vertical profiles of temperature and salinity in the upper layer at the five water masses in the Barents Sea and adjacent waters in August 2009.
Figure 1 in Structure of mesozooplankton community in the Barents Sea and adjacent waters in August 2009
Figure 1. Barents Sea and adjacent waters. Location of sampling stations in 2009 and general scheme of main water masses (Ozhigin and Ivshin 1999): MCW, Murmansk coastal waters; AW, Atlantic waters; SCW, Svalbard coastal waters; ArW,– Arctic waters; BW, Bear Island waters; NCW, Norwegian coastal waters; TAW, Transformed Atlantic waters (Barents Sea waters); WCW, White Sea coastal waters; PCW, Pechora coastal waters; NZCW, Novaya Zemlya coastal water.
Figure 5 in Structure of mesozooplankton community in the Barents Sea and adjacent waters in August 2009
Figure 5. Mesozooplankton biomass (a: mg dry mass m−3 ± standard error; b: g dry mass m−2 ± standard error) within different water masses in the upper 100-m layer in the Barents Sea and adjacent waters in August 2009. MCW, Murmansk coastal waters; AW, Atlantic waters; AWF, Atlantic waters (frontal zone); BW, Bear Island waters; SCW, Svalbard coastal waters; ArW, Arctic waters.
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.