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Figure 6 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 6 Zospeumcf.vasconicum Prieto, De Winter, Weigand, Gómez & Jochum, 2015. Ex. Z.suarezi paratype, NHMW-MO 75000-E-48815, Cueva Hernialde, Guipuzcoa, assessed in Gittenberger (1980) ("NWW-Coll. Edlauer 48815, ex. Coll. Robić/1shell").
Figure 5 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 5 Zospeum material assessed in Gittenberger (1980). A–FZospeumpraetermissum sp. n. (paratype of Z.suarezi, MHNG-Mol 96220/1 shell, now lost), Cueva Los Quesos (showing ambivalent label, Z.schaufussi Frfld) G–MZospeumpraetermissum sp. n (figured paratype of Z.suarezi, MHNG-Moll 96219, now lost), Cueva del Puente de Inguanzo L, N–RZospeumgittenbergeri sp. n. (figured shell of Z.schaufussi sensu Gittenberger (1980), MHNG 96219, now lost).
Figure 3 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 3 Zospeumschaufussi von Frauenfeld, 1862, damaged syntypes and labels (NHMW 71836). Scale bar: 500 μm.
Figure 15 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 15 Map indicating geographic position of the two different Inguanzo-named caves on either side of the Rio Casaño: Cueva del Puente de Inguanzo (collection site of Gittenberger's (1980) shells) and Cueva de Inguanzo (site of Weigand et al. (2013) molecularly-assessed material). Source of DEM data: LiDAR-PNOA DGM 5 m owned by Instituto Geográfico Nacional (IGN) and provided under CC-BY 4.0 license.
Figure 13 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 13 Zospeumgittenbergeri sp. n. A–E holotype (RMNH.MOL.234166) F–IZ.cf.gittenbergeri from Cueva del Búho (RMNH.MOL.234165). Scale bar: 500 µm.
Figure 12 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 12 CT images of Zospeumsuarezi syn. n. of Z.schaufussi von Frauenfeld, 1862, paratype Z.suarezi (Gittenberger 1980), RMNH.MOL.55389 from type locality. Scale bar: 500 µm.
Figure 11 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 11 CT images of Zospeumpraetermissum sp. n. holotype (RMNH.MOL.55391). F inclinate lamella G, I, K show upper lamellar bulge, central lamella, and columellar basal ridge. Scale bar: 500 µm.
Figure 10 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 10 Zospeumpraetermissum sp. n. A–D holotype (RMNH.MOL.55391), shell illustrated by Gittenberger (1980: fig. 2) E–F paratypes (RMNH.MOL.339954). Scale bar: 500 μm.
Figure 1 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 1 Map indicating geographic position of type locality caves of described species of Zospeum in northern Spain. From left to right: Cueva del Puente de Inguanzo (Z.gittenbergeri sp. n., Z.praetermissum sp. n.), Cueva de La Herrería (Z.percostulatum), Cueva de Búho (Z.suarezi, syn. n. of Z.schaufussi), Cueva de Las Paúles (Z.zaldivarae), Cueva de Otxas (Z.biscaiense), Cueva de la Ermita de Sandaili (Z.vasconicum) and Cueva Molino de Aso (Z.bellesi). Source of DEM data: ALOS Global Digital Surface Model (AW3D30), JAXA.
Fig. 16 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 16. Scan of teeth without (A) and with (B) software beam hardening correction. In yellow, cupping artefacts increase the reconstructed density at the edges (see plots of gray values along the yellow lines) and decrease it in the centre of the object. In blue, streaking artefacts create dark or white lines between structures. Images by MNHN.
Fig. 8 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 8. Sample mounting techniques for plant specimens of different sizes. A. Large samples (>10 mm). B–D. Medium-sized samples (1–10 mm). E–F. Small samples (<1 mm). Image from Staedler et al. 2013, reproduced under a CC-BY license.
Fig. 11 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 11. Histogram of the grayscale value frequency of the scanned specimen (bivalve Musculus costulatus (Risso, 1826). Each peak represents a different structure (in terms of density) of the scanned bivalve. Bright grayscale values (representing low densities) are located at the left side of the histogram, darker values (representing high values) at the right side of the histogram. A. The selection of a range including all peaks, reveals the more detailed morphology of the bivalve (both soft/low density and hard/high density structures). B. A restricted range of histogram values removes structures with brighter values (= low densities). C. A restricted range of histogram values including only one peak reveals only the darkest values (= most dense structures) of the bivalve which correspond to the shell. Image by HCMR micro-CT lab.
Fig. 18 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 18. Scan of a bivalve with (A) and without (B) noise after the selection of the appropriate parameters during the reconstruction procedure. Images by HCMR micro-CT lab.
Fig. 14. A in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 14. A marine worm (Polychaeta, Phyllodocidae, Phyllodoce). A. Photograph (CC-BY-SA Hans Hillewaert). B. Volume rendering. C. Isosurface rendering. Images B and C by the HCMR micro-CT lab.
Fig. 13 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 13. Volume rendering of a specimen where the gray level coding for (A) air and (B) air+soft tissues are transparent. Histograms of the grayscale values are included for both images where the selected threshold is indicated by the blue line and the opacity curve is indicated by the red line. Image by MNHN.
Computational results for the publication "Carbon dioxide capture from open air using covalent organic frameworks".
<p>This upload contains the computationally obtained adsorption structures of COF-999 series.</p>
Fig. 1 in The endocranium of the theropod dinosaur Ceratosaurus studied with computed tomography
Fig. 1. Ceratosaurus magnicornis (MWC 1, Fruita, Colorado, Morrison Formation, Upper Jurassic). Specimen photographs of the braincase in posterior (A), left lateral (B), ventral (C), right lateral (D), and dorsal (E) views.
Supporting Data for computational analysis in Nanoplastics Potentiate Alzheimer's Pathogenesis by Promoting the Microglial Escape of Amyloid Beta
Open the record for dataset details and reuse information.
Structural and Functional Insight into EGFR and EGFRvIII using Computational Modeling and Docking
Open the record for dataset details and reuse information.
Table II computations
<p>Computations to determine energy components of all Hydrogen atom states up to and including n = 3</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)
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DANDI Archive for NWB datasets
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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.