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111 results for “shell variability”
FIGURE 1 in Redescription, shell variability and geographic distribution of Plagiodontes dentatus (Wood, 1828) (Gastropoda: Orthalicidae: Odontostominae) from Uruguay and Argentina
FIGURE 1. Geographic distribution of genus Plagiodontes Doering, 1876.
FIGURE 2 in Redescription, shell variability and geographic distribution of Plagiodontes dentatus (Wood, 1828) (Gastropoda: Orthalicidae: Odontostominae) from Uruguay and Argentina
FIGURE 2. Shell measurements and teeth nomenclature in Plagiodontes spp.
Figure 20 in Recognising variability in the shells of argonauts (Cephalopoda: Argonautidae): the key to resolving the taxonomy of the family
Figure 20. Scanning electron microscope images of Argonauta nouryi shell displaying variation in shell thickness: a–b, scanning electron microscope images of shell cross-sections (SBMNH 357476) across shell repairs (R) representing a shift from Type 1 (T1) to Type 2 (T2) shell formation; a, lateral face of shell, inner surface facing up; b, keel, outer surface facing up. Scale bars = 1 mm.
Figure 14 in Recognising variability in the shells of argonauts (Cephalopoda: Argonautidae): the key to resolving the taxonomy of the family
Figure 14. Argonauta nouryi shell displaying two changes in shell formation type: a–d, four perspectives of shell #72 (55.4 mm shell length, SBMNH 345766) displaying two changes from Type 1 (T1) to Type 2 (T2) shell formation and back to Type 1; a, right lateral view; b, left lateral view; c, oblique left lateral view; d, close-up oblique left lateral view. Scale bar = 1 cm.
Figure 1 in Recognising variability in the shells of argonauts (Cephalopoda: Argonautidae): the key to resolving the taxonomy of the family
Figure 1. Live female argonaut (Argonauta argo) observed swimming close to the ocean surface and holding her white paper nautilus shell that functions as a brood chamber for the female's eggs and as a hydrostatic structure for maintaining neutral buoyancy.
Fig. 3 in The Study Of Age-Related Variability Of Pigmentation Patterns Of The Shells Of Dreissena Polymorpha (Bivalvia, Dreissenidae) From Different Parts Of It'S Range
Fig. 3. Latitudinal variability of the number of pattern types. Samples: 1–6 — the Rybinsk Reservoir; 7–10 — the Gorky Reservoir; 11 — Lake Plescheevo; 12 — the Kama Reservoir; 13 — Lake Forelevoe; 14 — Northern Dvina River; 15 — the Chograi Reservoir; 16 — RR–1 channel; 17 — Lake Sharony; 18 — Ahtuba River; 19 — Belinskiy Bank; 20 — Danube River; 21, 22 — the Perućica Reservoir; 23 — Lake Erie; 24, 25 — Lake Michigan.
Fig. 6 in The Study Of Age-Related Variability Of Pigmentation Patterns Of The Shells Of Dreissena Polymorpha (Bivalvia, Dreissenidae) From Different Parts Of It'S Range
Fig. 6. Scheme of pattern change in zebra mussel population (by the example of the Perućica Reservoir). Data for mussels of ages from 1+ to 3+ are aggregated.
Quantifying shell outline variability in extant and fossil Laqueus (Brachiopoda: Terebratulida): are outlines good proxies for long-looped brachidial morphology and can they help us characterize species?
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Fig. 5 in The Study Of Age-Related Variability Of Pigmentation Patterns Of The Shells Of Dreissena Polymorpha (Bivalvia, Dreissenidae) From Different Parts Of It'S Range
Fig. 5. Examples of fluctuation of pattern type frequencies in zebra mussel populations.
Fig. 2 in The Study Of Age-Related Variability Of Pigmentation Patterns Of The Shells Of Dreissena Polymorpha (Bivalvia, Dreissenidae) From Different Parts Of It'S Range
Fig. 2. Pattern types on zebra mussel shells.
Figure 4 in A dark shell hiding great variability: a molecular insight into the evolution and conservation of melanic Daphnia populations in the Alps
Figure 4. Unrooted haplotype networks of European Daphnia pulicaria haplotypes showing disconnections at the 97% parsimony threshold. Different patterns identify the main haplogroups considered in this study (see Fig. 1 for geographical distributions of haplogroups). Circles indicate distinct haplotypes (size proportional to the number of specimens sharing the same haplotype). Bold outlines indicate haplotypes found in our melanic alpine populations. The minimum number of mutational steps required to connect all haplotypes in a single network is also given (dashed double-arrowed lines). Alpine haplotypes are coded as in Fig. 3. Black dots indicate missing (unsampled/extinct) haplotypes.
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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.