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Figure 4 in The youngest occurrence of embolomeres (Tetrapoda: Anthracosauria) from the Sunjiagou Formation (Lopingian, Permian) of North China
Figure 4. Detailed look on the ornamentation pattern of the notch and ventromedial edge of the descending flange of the pterygoid. Scale bar equals 50 mm. The zoomed-in photos on the bottom are not to scale.
Fig. 2 in Lophorrhina garnieri, a new fruit chafer species from north-eastern Uganda (Coleoptera: Scarabaeidae, Cetoniinae)
Fig. 2 – Lophorrhina garnieri sp. nov., holotype male: A, clypeus; B, pygidium; C, parameres, lateral view; D, parameres, dorsal view; E, parameres, frontal view. Photographs: A, C-E, Lynette Clennell; B, Kit Chang.
Figure 5 in The youngest occurrence of embolomeres (Tetrapoda: Anthracosauria) from the Sunjiagou Formation (Lopingian, Permian) of North China
Figure 5. Phylogeny and biogeography of embolomeres. The cladogram is calibrated based on the ages of the fossils. Carboniferous localities include northern England (Anthracosaurus, Pholiderpeton, and Pteroplax), Scotland (Anthracosaurus, Palaeoherpeton, Pholiderpeton, and Proterogyrinus), Joggins (Calligenethlon), and Florence (Carbonoherpeton) of Nova Scotia, Ohio (Leptophractus and Neopteroplax), and West Virginia (Proterogyrinus), USA; early Permian localities include Texas and Oklahoma, USA (Archeria), and Inta, Russia (Aversor); late Permian locality includes Shanxi, China (Seroherpeton). The green color represents the estimated range of tropical forests. All ages and localities except for Seroherpeton come from the literature (Clack, 1987, 2012; Cope, 1873; Gubin, 1985; Holmes, 1984, 1989; Holmes and Carroll, 2010; Panchen, 1964, 1977). The paleographic maps were modified from Tabor and Poulsen (2008, fig. 3).
Figure 3 in The youngest occurrence of embolomeres (Tetrapoda: Anthracosauria) from the Sunjiagou Formation (Lopingian, Permian) of North China
Figure 3. Holotype of Seroherpeton yangquanensis: photo (a) and line drawing (b) in ventral view. Scale bar equals 50 mm. For abbreviations see Fig. 2.
Fig. 1 in Lophorrhina garnieri, a new fruit chafer species from north-eastern Uganda (Coleoptera: Scarabaeidae, Cetoniinae)
Fig. 1 – Lophorrhina garnieri sp. nov., holotype male: A, dorsal habitus; B, ventral habitus; C, lateral habitus. Photographs by Lynette Clennell.
Fig. 5 in Lophorrhina garnieri, a new fruit chafer species from north-eastern Uganda (Coleoptera: Scarabaeidae, Cetoniinae)
Fig. 5 – Lophorrhina pentachordia (Klug, 1835): A, male specimen in its natural habitat; B, typical female clypeus; C, distribution within the Afrotropical Region in relation to the type locality of the new species (map adapt- ed from geology.com). Photographs:A, Reiner Wendt; B, Keita Matsumoto.
Fig. 3 in Lophorrhina garnieri, a new fruit chafer species from north-eastern Uganda (Coleoptera: Scarabaeidae, Cetoniinae)
Fig. 3 – Lophorrhina pentachordia (Klug, 1835), male specimen: A, dorsal habitus; B, ventral habitus; C, lateral habitus. Photographs by Lynette Clennell.
Fig. 4 in Lophorrhina garnieri, a new fruit chafer species from north-eastern Uganda (Coleoptera: Scarabaeidae, Cetoniinae)
Fig. 4 – Lophorrhina pentachordia (Klug, 1835), male specimen:A, clypeus; B, pygidium; C, parameres, lateral view; D, parameres, dorsal view; E, parameres, frontal view. Photographs: A, C-E, Lynette Clennell; B, Kit Chang.
Fig. 1 in First records of the Oak bush-cricket Meconema thalassinum on three German North Sea islands (Orthoptera: Ensifera, Tettigoniidae)
Fig. 1 – Distribution of Meconema thalassinum in Schleswig-Holstein (Germany). Solid red line indicates border between the Atlantic (west) and the Continental (east) Biogeographic Regions. Note majority of records are in the zone of the continental climate. From Winkler & Klinge (2019), modified.
Fig. 2 – A in First records of the Oak bush-cricket Meconema thalassinum on three German North Sea islands (Orthoptera: Ensifera, Tettigoniidae)
Fig. 2 – A male of the oak bush-cricket Meconema thalassinum from German North Sea Islands: island Sylt, 09 Sept. 2020, photo H. Ahnelt.
Figure 8 in Do ship strikes threaten the recovery of endangered eastern North Pacific blue whales?
Figure 8. Results for the long-term approach to future status. Equilibrium abundance relative to carrying capacity is shown for Sobs ¼ 10 and a range of multipliers of current levels of 2013 vessels. The model was projected forward 100 yr for each posterior sample under a constant multiplier (x-axis value). Model trajectories are shown as filled gray areas representing the 0.95, 0.75, 0.5, 0.25, and 0.05 posterior percentiles. The probability that the population is depleted (i.e., below 60% of K) is shown as a curved line. The solid vertical line denotes the median ratio of vessels in 2050 to 2013, i.e., the multiplier in 2050 estimated by our vessel model.
Figure 7 in Do ship strikes threaten the recovery of endangered eastern North Pacific blue whales?
Figure 7. Results of the short-term approach to future status. Future ship strikes, abundances, and abundances relative to carrying capacity for Sobs ¼ 10 are shown for three mitiga2013 tion cases (columns). Model trajectories are shown as filled gray areas representing the 0.95, 0.75, 0.5, 0.25, and 0.05 posterior percentiles. "Status quo" means no additional mitigation, "mitigation" refers to halving the ship strikes after 2013, and "none" is a complete elimination of future ship strikes. The horizontal lines at 0.6 denote the level below which the population is considered depleted.
Figure 4 in Do ship strikes threaten the recovery of endangered eastern North Pacific blue whales?
Figure 4. Posterior densities for the abundance relative to carrying capacity in 2013 for Sobs ¼ 10 (top) and Sobs ¼ 35 (bottom) and the two priors for r. The vertical line at 0.6 2013 2013 denotes the level below which the population is considered depleted.
Figure 6 in Do ship strikes threaten the recovery of endangered eastern North Pacific blue whales?
Figure 6. Absolute abundance, the abundance estimates and anthropogenic mortalities for Sobs ¼ 10 and the two priors for r. The rectangles at the bottom denote total estimated mor2013 talities (median catches + median strikes) for each year. The five abundance estimates (points) are shown with their 95% confidence intervals (bars). Model trajectories are shown as filled gray areas representing the 0.95, 0.75, 0.5, 0.25, and 0.05 posterior percentiles.
Figure 2 in Do ship strikes threaten the recovery of endangered eastern North Pacific blue whales?
Figure 2. Results of the vessel model. The points are data from worldwide statistics for vessels over 100 gross tons from Lloyd's of London, as used in Laist et al. (2001). Model trajectories are shown as filled gray areas representing the 0.95, 0.75, 0.5, 0.25, and 0.05 posterior percentiles.
Figure 1 in Do ship strikes threaten the recovery of endangered eastern North Pacific blue whales?
Figure 1. Prior and marginal posterior probability distributions for the parameters of the theta-logistic population dynamics model for Sobs ¼ 10 and both priors for r (columns).
Figure 3 in Do ship strikes threaten the recovery of endangered eastern North Pacific blue whales?
Figure 3. Results of the ship strike model. Predicted ship strikes for the uninformative prior for r and observed ship strikes in 2013 as 10 or 35. Annual trajectories (panels A and B) are shown as filled gray areas representing the 0.95, 0.75, 0.5, 0.25, and 0.05 posterior percentiles. Panels C and D show the posterior distributions of strikes in 2013 (histogram) as well as the Poisson likelihood (line).
Figure 5 in Do ship strikes threaten the recovery of endangered eastern North Pacific blue whales?
Figure 5. Trajectories for Abundance relative to carrying capacity for Sobs ¼ 10 and both 2013 priors for r. Model trajectories are shown as filled gray areas representing the 0.95, 0.75, 0.5, 0.25, and 0.05 posterior percentiles. The horizontal lines at 0.6 denote the level below which the population is considered depleted.
DALROMS-NWA12 v1.0, a coupled circulation-sea ice-biogeochemistry model for the northwest North Atlantic: input files (2 of 3)
<p>DALROMS-NWA12 v1.0 is a coupled circulation-sea ice-biogeochemistry modelling system based on ROMS, CICE, and MCT. The model domain covers the North Atlantic Ocean from ~81 deg W to ~39 deg W and ~33.5 deg N to 76 deg N. This record includes the files necessary for nudging the simulated temperature and salinity towards Copernicus GLORYS12V1 reanalysis values in a simulation from 1 September to 31 December 2013.</p> <p>The remaining input files for this period are available at <a href="https://doi.org/10.5281/zenodo.12752190" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752190</a> and <a href="https://doi.org/10.5281/zenodo.12735153" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12735153</a>.</p> <p>Model codes, scripts for compiling the model, and sample CPP header files and runtime parameter files (namelists) for phyiscs-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752091" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752091</a>. CPP header and runtime parameter files for the biogeochemistry module are available upon request.</p> <p>Sample output files (from the physics and biogeochemistry modules) are available at <a href="https://doi.org/10.5281/zenodo.12744506" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12744506</a> and <a href="https://doi.org/10.5281/zenodo.12746262" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12746262</a>.</p>
DALROMS-NWA12 v1.0, a coupled circulation-sea ice-biogeochemistry model for the northwest North Atlantic: input files (1 of 3)
<p>DALROMS-NWA12 v1.0 is a coupled circulation-sea ice-biogeochemistry modelling system based on ROMS, CICE, and MCT. The model domain covers the North Atlantic Ocean from ~81 deg W to ~39 deg W and ~33.5 deg N to 76 deg N. This record includes most of the input files necessary for a physics-only simulation from 1 September to 31 December 2013. The remaining input files for this period, which should be placed in the directory <code>sponge/</code> within the directory tree contained in this record, are available at <a href="https://doi.org/10.5281/zenodo.12734049" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12734049</a> and <a href="https://doi.org/10.5281/zenodo.12735153" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12735153</a>. Input files for the biogeochemistry module are available upon request.</p> <p>Model codes, scripts for compiling the model, and sample CPP header files and runtime parameter files (namelists) for physics-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752091" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752091</a>. CPP header and runtime parameter files for the biogeochemistry module are available upon request.</p> <p>Sample output files (from the physics and biogeochemistry modules) are available at <a href="https://doi.org/10.5281/zenodo.12744506" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12744506</a> and <a href="https://doi.org/10.5281/zenodo.12746262" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12746262</a>.</p>
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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.