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Figure 2 in Geometric morphometric analysis of shell shape variation in Conus (Gastropoda: Conidae)
Figure 2. Landmarks (LM) on a Conus specimen. LM1 – apex of the shell; LM2–5 – sutures between major whorls on right profile; LM6 – junction between end of suture and apertural lip; LM7 – outermost curve of aperture; LM8 – lowest point of aperture at base; LM9 – lowest point of last whorl at base; LM10 – most external point on left profile of last whorl; LM11 – shoulder on left profile, where last whorl curves; LM12 – point opposite to LM5 on left profile; LM13 – point opposite LM4 on left profile; LM14 – point opposite LM3 on left profile; LM15 – point opposite LM2 on left profile; LM16 – most external point on right profile of last whorl.
Figure 5 in Geometric morphometric analysis of shell shape variation in Conus (Gastropoda: Conidae)
Figure 5. Phylogram depicting relationships amongst the five Conus species based on morphological distances (between landmark coordinates), generated by the NEIGHBOR program of PHYLIP 3.69.
Figure 4 in Geometric morphometric analysis of shell shape variation in Conus (Gastropoda: Conidae)
Figure 4. Plot of the results of the principal components analysis of the 32 coordinates of 16 landmarks on Conus specimens grouped by dietary requirements. +, piscivores;, vermivores; °, molluscivores.
Figure 8 in Geometric morphometric analysis of shell shape variation in Conus (Gastropoda: Conidae)
Figure 8. Thin-plate spline grids; warps in reference to mean shape. Numbers indicate area expansion or compression factors (i.e. degree of local growth). Green represents expansion, purple compression. A, Conus consors; B, Conus miles; C, Conus stercusmuscarum; D, Conus striatus; E, Conus textile.
Figure 3 in Geometric morphometric analysis of shell shape variation in Conus (Gastropoda: Conidae)
Figure 3. Plot of the results of the principal components analysis of the 32 coordinates of 16 landmarks on Conus specimens. +, Conus consors;, Conus miles; ¥, Conus stercusmuscarum; O, Conus striatus; °, Conus textile.
Figure 4. Hydrocena chinensis Pfeiffer, 1857 NHMUK 20200002. A, shell overview. B, operculum. C in A review of Coptocheilus Gould, 1862 from China, with description of a new species (Gastropoda: Caenogastropoda: Pupinidae)
Figure 4. Hydrocena chinensis Pfeiffer, 1857 NHMUK 20200002. A, shell overview. B, operculum. C, Pfeiffer's handwriting label. Photos: Kevin Webb (a–b) and Jonathan Ablett (c), ©NHMUK.
Figure 3 in Morphological convergence of shell shape in distantly related scallop species (Mollusca: Pectinidae)
Figure 3. Principal component plot of shell shape variation for specimens used in this study. The first three principal component (PC) axes explain 75.8% of the total variation in shell shape (PC1 = 57.3%; PC2 = 11.6%; PC3 = 6.9%). (A) Shape variation along PC1 and PC2 with photographs of representative individuals for each species. Scale bars = 1 cm. (B) Shape variation along PC1 and PC3. Species are designated as: Amusium pleuronectes (blue squares), 'Amusium' balloti (blue circles), Argopecten irradians (red squares), Argopecten purpuratus (red circles), Chlamys behringiana (green triangles), Caribachlamys sentis (green diamonds), Pseudamussium septemradiatus (white inverted triangles).
Figure 2 in Morphological convergence of shell shape in distantly related scallop species (Mollusca: Pectinidae)
Figure 2. Maximum likelihood estimation of ancestral behaviours using a symmetrical likelihood model (Mk1) on an independently derived multigene Bayesian majority-rule consensus tree. Pie diagrams show character states and their proportion at each node. Taxa highlighted in blue represent long-distance swimming species; taxa in bold represent the seven species examined in our quantitative morphometric analyses of shell shape.
Figure 1 in Morphological convergence of shell shape in distantly related scallop species (Mollusca: Pectinidae)
Figure 1. Three-dimensional surface scan of the left valve of a representative scallop, with the positions of 506 landmarks and semilandmarks indicated. Fixed landmarks are shown as numbered, open circles (Landmark 1: ventroposterior auricle, 2: dorsoposterior auricle, 3: umbo, 4: dorsoanterior auricle, 5: ventroanterior auricle), semilandmarks along the ventral edge of the valve are shown as closed circles, and surface semilandmarks on the scallop valve are shown as grey circles. Dorso-ventral and antero-posterior axes are provided.
Figure 8 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 8. Phylogenetic tree based on COI. 50% majority rule consensus tree from Bayesian analysis with posterior probabilities/bootstrap support values (from maximum likelihood analysis). Sample abbreviations and groups of samples are given in Tables 1 and 3.
Figure 11 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 11. Pupa muscorum var. pratensis. Series of four shells from type locality Dinkelscherben near Augsburg (Germany) in frontal and lateral view. A, neotype SMNS-ZI0138339. B–D, SMNS-ZI0138341.
Figure 10 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 10. Pupilla loessica. Series of four shells from type locality Předmostí at Přerov (Czech Republic, fossil from Saalian loess) in frontal and lateral view. A is the designated neotype. All deposited at the National Museum of Prague.
Figure 7 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 7. Shell microsculpture (SEM micrographs). A–T, P. loessica. U–Z, P. alpicola. a–d, P. alpicola (morphogroup P. m. densegyrata). e–h, P. alpicola (lowland populations "P. pratensis"). i–j, P. muscorum. A–B, M_4559, Altai, Saylyugem (Russia). C–D, M_4575, Altai, Saylyugem (Russia). E–F, H_MC409, Altai, Dzhazator (Russia). G–H, M_3970, Khatgal, shore of Lake Khövsgöl Nuur (northern Mongolia). I–J, M_2523_2, Yelantsy near Lake Baikal (Russia). K–L, M_2523_1, Yelantsy near Lake Baikal (Russia). M–N, M_994, Karsdorf (Saxony Anhalt, Germany), fossil from Early Saalian. O–P, M_459, Zeuchfeld (Saxony
Figure 9 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 9. Phylogenetic tree based on ITS2. 50% majority rule consensus tree from Bayesian analysis with posterior probabilities/bootstrap support values (from maximum likelihood analysis). Sample abbreviations and groups of samples are given in Tables 1 and 3.
Data from the thesis diagnosis of waste, application possibilities and future demand for green coconut shells, with evaluation of information uncertainty
<p>Information on the quantities of green coconut shells produced in coastal regions is not well known, which can make it difficult to manage these frequently wasted materials, as well as the understanding that they can be included in a production process as a raw material, with various possibilities of use and income generation. Given this situation, the objective of this research is to develop a diagnosis of the potential use of green coconut shells, after water consumption, in public places in municipalities in the southern and southern coast of Bahia. It is also intended to identify the future demand of the potential possibility for the recovery of the bark, and provide subsidies that can be used to organize the use of this material. In this context, the method applied in this research consists of five steps: (i) literature review; (ii) diagnosis of bark situation in the study region; (iii) evaluation of the uncertainty of the estimated amount of shells; (iv) possibilities for applying green coconut shells and preparing the analysis of strengths, weaknesses, opportunities and threats (SWOT); and (v) obtaining future demand for the potential output for the region through quantitative techniques for predicting time series with uncertainty assessment. The main scientific contributions of this work consist, therefore, (a) in the diagnosis of the waste of green coconut shells in the region; (b) the possibilities of application of coconut shells; (c) in the demand forecasting method elaborated for time series without trends and with high variability; and (d) in assessing the uncertainty of the quantitative information obtained. Thus, the study developed can be used as a subsidy, either for replicating the research process in other types of waste allocated in any region, or for the adoption of public policies to manage these materials, or even for the encouragement and creation of an appropriate productive scenario for the management of green coconut shells in the study region, which contributes to the understanding of the potential for generating environmental, economic and social value from the use and processing of these wasted materials.</p>
FIGURE 8 in Descriptions of two new shell-dwelling species of Metriaclima (Cichlidae) from Lake Malaŵi, Africa
FIGURE 8. Sheared second principal components (morphometric data) plotted against the first principal components (meristic data) of 14 specimens of Metriaclima ngarae from Ngara (x) and 20 specimens of Metriaclima gallireyae from Gallireya Reef (+).
FIGURE 3 in Descriptions of two new shell-dwelling species of Metriaclima (Cichlidae) from Lake Malaŵi, Africa
FIGURE 3. CT scan of the cranium of Metriaclima ngarae Holotype, PSU 13365, adult male, 59.1 mm SL, Ngara, Lake Malaŵi; angle of ethmovomerine block is 46.4° with parasphenoid.
FIGURE 2. Brachiopods off the San Bernardo Archipelago, Colombian Caribbean. A–E. Tichosina plicata Cooper, 1977. A–D. INV BRA5 conjoined shell. A. Dorsal view. B. Lateral view. C. Ventral view. D. Anterior view. E. INV BRA6 in Brachiopods from off the San Bernardo Archipelago (Colombian Caribbean), with comments on specific synonymies in Tichosina Cooper, 1977
FIGURE 2. Brachiopods off the San Bernardo Archipelago, Colombian Caribbean. A–E. Tichosina plicata Cooper, 1977. A–D. INV BRA5 conjoined shell. A. Dorsal view. B. Lateral view. C. Ventral view. D. Anterior view. E. INV BRA6, inner view of dorsal valve showing the loop and broad transverse band. 2F–I. Terebratulina latifrons Dall, 1920. INV BRA8 conjoined shell. F. Dorsal view. G. Lateral view. H. Ventral view. I. Anterior view. 2J–K. Terebratulina cailleti Crosse, 1865. INV BRA9. J. Inner view of ventral valve. K. Inner view of dorsal valve showing the loop. L–Q. Argyrotheca barrettiana (Davidson, 1866). INV BRA7. L. Conjoined shell, dorsal view. M. Lateral view. N. Ventral view. O. Anterior view. P. Oblique inner view of ventral valve showing the depressions near to the anterior end of the ventral septum. Q. Inner view of dorsal valve. P–Q. SEM photographs. All scales 5mm.
FIGURE 1. Vertigo spp., shells. A–O in Redescription of Ve r t i g o (Vertigo) nitidula (Mousson, 1876) (Gastropoda: Vertiginidae) from the Caucasus region
FIGURE 1. Vertigo spp., shells. A–O. Vertigo (Vertigo) nitidula (Mousson). A. Georgia: Tabatsquri (syntype of P. pygmaea var. nitidula ZMZ 514689). B. Georgia, Tabatsquri (syntype of P. sieversi SMF 2129). C. Georgia, Manglisi (syntype of P. sieversi var. punctum SMF 2125). D. Georgia, Kazbek (syntype of P. sieversi var. subalpestris SMF 2122). E. Georgia, Abastumani (syntype of P. substriata var. mitis SMF 2282). F–G. Georgia, Kobi (ZIN 27). H–J. Russia, lower Adylsu valley (ZMH 80612). K–O. Armenia, Tsaghkadzor, Mount Teghenis (ZMH 80614). P–V. Vertigo (Vertigo) substriata (Jeffreys). P. Germany, Nübel (ZMH 60278); Q. Russia, Zilairskoe plateau, Novoaleksandrovka (ZMH 96098). R. Russia, Altai Republic, 2 km W of Zaisanskaya Elan (ZMH 96096). S. Russia, Chegem valley (ZIN 96). T–V. Georgia, Kobi (ZIN 95). Scale bar = 0.5 mm.
FIGURE 2 in Calyptraeotheres sp. nov. (Crustacea: Decapoda: Pinnotheridae), symbiont of the slipper shell Crepidula striolata Menke, 1851 (Mollusca: Gastropoda: Calyptraeidae) from the Gulf of California, Mexico
FIGURE 2. Calyptraeotheres camposi sp. nov. A, B, holotype female (EMU-10361); C, D, paratype immature female (EMU- 10363); E, mature female paratype (EMU-10364). A, C, right cheliped, outer view; B, E, tip of cheliped, inner view; D, right chela, inner view. Scale bar = 0.5 mm.
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.