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FIGURE 3 in Non-linear ontogenetic shape change in Cryptolithus tesselatus (Trilobita) using three-dimensional geometric morphometrics

FIGURE 3. Placement of points defining patch on glabella. Points in red are redundant to fixed landmarks as described in the text and Appendix 2. After the surface landmarks were extracted using Landmark Editor, the redundant landmarks were removed from the final data file. Specimen shown is AMNH FI-101482; specimen is 7.1 mm long.

opencc-by-4.0Dec 2016View details →
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FIGURE 10 in Non-linear ontogenetic shape change in Cryptolithus tesselatus (Trilobita) using three-dimensional geometric morphometrics

FIGURE 10. Allometry in the cranidia/cephala of other trilobite species as described by 2D geometric morphometrics. 1, Marrolithus bureaui, data from figure 5 of Delabroye and Crônier (2008), breakpoint shown is at 2.8, which was the best supported threshold model (Table 2). 2, Aulacopleura koninckii, data from figure 3 of Hong et al. (2014), breakpoint set at 2.0. 3, Triarthrus becki, data from figure 6 of Kim et al. (2002); breakpoint at 0.6. 4, Zacanthopsis palmeri, data from figure 13 of Hopkins and Webster (2009), breakpoint set at 0.8. 5, Haniwa quadrata, data from figure 5 of Park and Choi (2011b), breakpoint set at 1.4. 6, Liostracina tangwangzhaiensis, data from figure 3 of Park et al. (2014), breakpoint set at 1.55. 7, Apatokephalus latilimbatus, data from figure 4 of Park and Kihm (2015), breakpoint set at 0.85. 8, Olenellus gilberti, data from figure 23B of Webster (2015), breakpoint set at 1.0. Breakpoints are all in units of natural log of centroid size. Red lines = linear regression models; blue lines = threshold models.

opencc-by-4.0Dec 2016View details →
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FIGURE 2 in Non-linear ontogenetic shape change in Cryptolithus tesselatus (Trilobita) using three-dimensional geometric morphometrics

FIGURE 2. Different views of 3D surface model rendering of Cryptolithus tesselatus showing placement of fixed landmarks. All landmarks are indicated at least once, with the exception of 11 (paired with 12). Unpaired landmarks = 17– 20; paired landmarks = 1–16, 21–23, 42; semi-landmarks along first internal list shown by dashed line and represented by landmarks 24–41. See Appendix 2 for full description of all landmarks. Surface reconstruction is of AMNH FI-101479.

opencc-by-4.0Dec 2016View details →
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FIGURE 9 in Non-linear ontogenetic shape change in Cryptolithus tesselatus (Trilobita) using three-dimensional geometric morphometrics

FIGURE 9. Ontogeny of Cryptolithus tesselatus based on 2D geometric morphometrics. 1, Fixed landmarks consistently recognizable in dorsal view. Red dashed line shows curve described by first internal list along which were placed 21 semi-landmarks. Specimen shown is AMNH FI- 101479; specimen is 6.7 mm long. 2, Principal components analysis of 2D fixed- and semi-landmarks. Point size represents relative centroid size of specimen. Insets are deformation plots showing shapes represented by largest and smallest PC 1 values. 3, Allometric curve; amount of shape change represented by the Procrustes distance between each specimen and the smallest specimen. Red solid line = linear regression model; blue solid line = threshold model 1; thin black dashed line = threshold model 2; thick black dashed line = threshold model 3. Threshold model 1 is the best supported model (Table 1).

opencc-by-4.0Dec 2016View details →
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FIGURE 6 in Non-linear ontogenetic shape change in Cryptolithus tesselatus (Trilobita) using three-dimensional geometric morphometrics

FIGURE 6. Allometric growth in Cryptolithus tesselatus. Size (x-axis) is represented by the natural log of centroid size. Change in shape (y-axis) is represented by the Procrustes distance between each specimen and the smallest specimen in the dataset; the Procrustes distances in this case represent the relative amount of change that specimens underwent during development. Red solid line = linear regression model; blue solid line = threshold model 1; thin black dashed line = threshold model 2; thick black dashed line = threshold model 3. Threshold model 1 is the best supported model.

opencc-by-4.0Dec 2016View details →
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FIGURE 2 in Pushing the limits of neutron tomography in palaeontology: Three-dimensional modelling of in situ resin within fossil plants

FIGURE 2. Austrosequoia novae-zeelandiae (Ettingshausen, 1887) Mays et al., 2017, PL1227. 1) Transverse section of a partially exposed, desiccated ovulate cone. 2) Neutron tomographic reconstruction largely encapsulated in sedimentary matrix, white indicates high neutron attenuation, oblique-transverse view. 3) Volume rendering of neutron tomographic reconstruction, RNA = Relative Neutron Attenuation, grid texture on RNA spectrum indicates relative transparency, regions of highest neutron attenuation represent in situ resin within cone axis and minor enclaves of resin near the distal ends of the bract-scale complexes, desiccation exhibited by large gaps in coalified organic remains (blue/green), oblique-transverse view. 4) Greyscale histogram from neutron tomographic reconstruction of PL1227 (16-bit) these values represent the neutron attenuation of the reconstructed volume, colours and transparency textures as per Figure 2.3, threshold values presented in Table 2, the spectrum has been cropped at the extremes for this graphical representation. See Appendix for an animation of the virtually extracted specimen illustrated in Figure 2.3.

opencc-by-4.0Dec 2017View details →
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FIGURE 1. 1 in Pushing the limits of neutron tomography in palaeontology: Three-dimensional modelling of in situ resin within fossil plants

FIGURE 1. 1) Map of eastern Zealandia including New Zealand and the Chatham Islands, grey areas = emergent, grey outline = 2000 m isobath, boxed area is displayed in Figure 1.2. 2) Map of the Chatham Islands, grey areas = emergent, boxed area is displayed in Figure 1.3. 3) Geological map of the Waihere Bay area, northwest Pitt Island, fossil locality recorded in this study is indicated, age estimates from the following sources: Tupuangi Formation (Mildenhall, 1994; Mays and Stilwell, 2013), Kahuitara Tuff (Mildenhall, 1994; Stilwell, 1998), other estimates (Campbell et al., 1993; Panter et al., 2006). Modified from figures 1 and 3 of Mays et al. (2015b) with permission.

opencc-by-4.0Dec 2017View details →
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FIGURE 3 in Pushing the limits of neutron tomography in palaeontology: Three-dimensional modelling of in situ resin within fossil plants

FIGURE 3. Artist's reconstruction of ovuliferous cone and fertile shoot of Austrosequoia novae-zeelandiae (Ettingshausen, 1887) Mays et al., 2017, artist: Mali Moir.

opencc-by-4.0Dec 2017View details →
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FIGURE 5 in A novel application of the white light/fringe projection duo: recovering high precision three-dimensional images from fossils for the digital preservation of morphology

FIGURE 5. Processed views of a fossil sample acquired by the optical FPP system OTY. Each view is re-oriented 60º degrees with respect to the prior. Where: "a" indicates a zone that has no information at 60º in this stage of the process and will be corrected with the information of the next view, as is shown in "b".

opencc-by-4.0Aug 2015View details →
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FIGURE 3 in A novel application of the white light/fringe projection duo: recovering high precision three-dimensional images from fossils for the digital preservation of morphology

FIGURE 3. Magnitude maps of the sample obtained every 60º for 8 and 128 pixels/period. The images show the resolution and detail levels given the number of fringes projected over the sample. The measurements' accuracy of surface and depth depends on the number of projected fringes, which include as many as the system can display (8 pixels/period for each fringe in this case). When the acquisition of details is difficult, a wider fringe is required (based on our sample size, we used 128 pixels).

opencc-by-4.0Aug 2015View details →
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FIGURE 1 in A novel application of the white light/fringe projection duo: recovering high precision three-dimensional images from fossils for the digital preservation of morphology

FIGURE 1. Optical set up specifications for fringe projection profilometry (FPP) used in this study for the recovery of a 3-D image of a hemimandible sample.

opencc-by-4.0Aug 2015View details →
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FIGURE 7 in A novel application of the white light/fringe projection duo: recovering high precision three-dimensional images from fossils for the digital preservation of morphology

FIGURE 7. Examples of analyses that can be performed with the obtained data from the fossils: 1) denoting the relief (emboss filter), 2) detecting edges and transitions (sobel filter), 3) study of the roughness and waviness of a sample (topography filter).

opencc-by-4.0Aug 2015View details →
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FIGURE 2 in A novel application of the white light/fringe projection duo: recovering high precision three-dimensional images from fossils for the digital preservation of morphology

FIGURE 2. Flowchart of the 'OTY' procedure employed in this study, where: α = angle (60º in this case), * = MBE algorithm (Gutiérrez-García et al., 2013), and ** = Goldstein algorithm. OTY: name given to the white light system together with the phase shifting algorithm filter, based on the fact that it was developed for use on Ototylomys samples (see main text).

opencc-by-4.0Aug 2015View details →
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FIGURE 6. Full 3-D in A novel application of the white light/fringe projection duo: recovering high precision three-dimensional images from fossils for the digital preservation of morphology

FIGURE 6. Full 3-D image of the reconstructed fossil after merging all the six views. 1) Cloud of points, 2) Final mesh.

opencc-by-4.0Aug 2015View details →
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FIGURE 4 in A novel application of the white light/fringe projection duo: recovering high precision three-dimensional images from fossils for the digital preservation of morphology

FIGURE 4. Process applied to recover the topography of the fossil sample. Where: 1) image captured by the CCD of the fringe projection on the sample, 2) wrapped phase obtained of the 8 frames after applying the MBE filter, 3) unwrapped phase map, 4) phase carrier compensation, and 5) surface of one of the views of the fossil recovered.

opencc-by-4.0Aug 2015View details →
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Fig. 17 in Three-dimensional micro- and nanostructural characteristics of the scleractinian coral skeleton: A biocalcification proxy

Fig. 17. Idealized and representing two extremes, three−dimensional models of septal microstructures in corals with fibrous skeletal tissue. First extreme model (A), shows perfect continuity between organo−mineral phases of dRAF and TD regions, whereas the second extreme model (B) shows consistent discontinuity of these phases in longitudinal, perpendicular to septal plane section. Real specimens (e.g., Figs. 3E–H, 5B) usually have some regions with dRAF and TD layers continuing, and some parts where these layers discontinue. Left to A, longitudinal section through RAF plane. Septal surfaces in the RAF zone may have "microcrystalline" texture (if a snapshot were taken during formation of the mineral phase); "microcrystals" represent exposed fiber tips (fasciculi of Wise 1972) of organic−depleted zones (circle on right of A).

opencc-by-4.0Nov 2003View details →
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Fig. 16. The rugosan Endotheciumdecipiens Koker, 1924 in Three-dimensional micro- and nanostructural characteristics of the scleractinian coral skeleton: A biocalcification proxy

Fig. 16. The rugosan Endotheciumdecipiens Koker, 1924. Here re−illustrated from Schindewolf's (1942: fig. 7). Lower Upper Permian (Basleo−Schichten), Basleo, Timor. "Transverse" section of corallum (A) with septa in axial region (B) showing alternation of layers of fibers (white) and areas infilled by dark (?iron−manganese rich) minerals (see also footnote 2). TLM view.

opencc-by-4.0Nov 2003View details →
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Fig. 15. A. Pachythecalis major Cuif, 1975, ZPAL H.23 in Three-dimensional micro- and nanostructural characteristics of the scleractinian coral skeleton: A biocalcification proxy

Fig. 15. A. Pachythecalis major Cuif, 1975, ZPAL H.23/10. Triassic, Lower Norian. Alakir Çay,Turkey. Transverse polished corallite in TLM (A1); enlargement of dRAF (A2). A3. Transverse polished pachytheca in TLM; fibers show faint regular (ca. 7 µm) alternations of lighter and darker zones. B. Zardinophyllum zardini Montanaro−Gallitelli, 1975. Triassic (Middle Carnian), San Cassiano Beds, Alpe di Specie, Dolomiti (Italy). Completely smooth RAF of septum in distal view, IPUM11 (B1, SEM). B2. Transverse, polished and etched septum (ZPALH.23/11); note fissure in dRAF region (arrow), more or less regular discontinuities in arrangement of pachytheca fibers (arrows), and secondary, probably biogenic deposits filling up the calice (marked transparent dark grey). All coralla with still preserved aragonitic mineralogy.

opencc-by-4.0Nov 2003View details →
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Fig. 14. Pachysolenia cylindrica Cuif, 1975 in Three-dimensional micro- and nanostructural characteristics of the scleractinian coral skeleton: A biocalcification proxy

Fig. 14. Pachysolenia cylindrica Cuif, 1975, ZPALH. XXI/4. Triassic, Lower Norian. Alakir Çay,Turkey. A–C. Complementary regions of transversely sectioned and polished pachytheca: TLM image (A), greyscale Sr (B) and Mg (C) mapping acquired on the electron microprobe by wavelength−dispersive techniques; darker areas equal very low concentration whereas lighter areas equal slightly higher concentrations. Sr (in B) shows enrichment, at least in some regions (arrows) where Mg (in C) appears depleted. Sr mapping of diagenetically non−altered fibrous parts of coralla of extant corals (not illustrated here) invariably shows nearly homogenous distribution of this element. D. TLM view of longitudinally sectioned pachytheca and septum; part of the preserved septum encircled and enlarged in E to show "non−trabecular" nature of dRAF. F. Transverse polished section of pachytheca in TLM; fibers show faint regular 5–8 µm alternations of lighter and darker zones. G. Homogenous septal dRAF zone in SEM view of transversely polished and etched section. H. Transverse polished and etched section of pachytheca (SEM); fibrous skeleton shows negative and positive etching relief (at ca. 5–8 µm distance).

opencc-by-4.0Nov 2003View details →
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Fig. 13.Stylophyllumparadoxum Frech, 1890, NHMW 1982 in Three-dimensional micro- and nanostructural characteristics of the scleractinian coral skeleton: A biocalcification proxy

Fig. 13.Stylophyllumparadoxum Frech, 1890, NHMW 1982/57/100, corallum with aragonitic mineralogy still preserved. Triassic, Rhaetian, Fischerwiese, Northern Calcareous Alps, Austria. A, B. Transverse section of septa with concentric arrangement of fibers within septal spines (B, enlargement). C–F. Longitudinal sections crossing centers of septal spines; domed, successive layers of aragonite fibers (darker) separated by lighter "voids" infilled by spar (see D, F enlargements). Except for regular voids in spine centers, there is no difference in organization of superimposed layers of fibers within septal spine. All TLM micrographs.

opencc-by-4.0Nov 2003View details →

ScienceDex guides

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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