Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
406
datasets available to search
ShareScore release 0.7.1
Dataset results
406 results for “micro-CT”
FIGURE 13 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 13. Terminology of skull osteology in dorsal view (left) and ventral view (right). Abbreviations: col = columella, exoc = exoccipital, exoc.oc = occipital condyle of exoccipital, fpar = frontoparietal, fpar.lf = frontoparietal lateral flange, max = maxilla, max.pf = maxillary pars fascialis, max.parspal = maxillary pars palatina, nasal.mp = maxillary process of nasal, neopal = neopalatine, pmx.ap = premaxilla alary process, pmx.lp = premaxilla lateral process, pmx.palproc = premaxilla palatine process, povom = postchoanal vomer, proot = prootic, prvom = prechoanal vomer, prsph.cp = parasphenoid cultriform process, prsph.al = parasphenoid alae, pter.ar = pterygoid anterior ramus, pter.mr = pterygoid medial ramus, pter.vr = pterygoid ventral ramus, qj = quadratojugal, qj.pvp = quadratojugal posteroventral process, smax = septomaxilla, spheth = sphenethmoid, sq.or = squamosal otic ramus, sq.vr = squamosal ventral ramus, sq.zr = squamosal zygomatic ramus.
FIGURE 12 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 12. Osteology of Rhombophryne diadema sp. nov. (ZSM 1629/2012). Full skeleton in (a) dorsal, (b) ventral, and (c) lateral view; skull in (d) dorsal, (e) ventral, and (f) lateral view. Abbreviations as in Fig. 7.
FIGURE 9 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 9. Rhombophryne regalis sp. nov. in life, showing the holotype (MRSN A4602) in (a) dorsal and (b) ventral view; paratype MRSN A4603 in (c) dorsolateral and (d) ventral view; and (e) an individual from Ambolokopatrika in dorsolateral view (assignment to field and collection numbers unknown).
FIGURE 8 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 8. Map of the north of Madagascar showing the collection localities of specimens of the focal species of this paper, Rhombophryne guentherpetersi, R. regalis sp. nov., and R. diadema sp. nov. Basemap from www.vegmad.org. Hashing indicates protected areas; note that the full extent of Tsaratanana Strict Nature Reserve is not shown.
FIGURE 6 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 6. Rhombophryne guentherpetersi in life. (a–c) ZSM 607/2014 in (a) dorsolateral (with inset showing superciliary spines), (b) dorsal, and (c) ventral view; and (d, e) other specimens in dorsolateral view (assignment to field and collection numbers unknown).
FIGURE 11 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 11. Rhombophryne diadema sp. nov. in life, showing the holotype ZSM 1629/2012 in (a) dorsal and (b) ventral view; paratype ZSM 1628/2012 in (c) lateral and (d) ventral view; and paratype UADBA-A 60289 in (e) lateral and (f) ventral view.
FIGURE 15 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 15. The vertebral column of the R. serratopalpebrosa species group shown in dorsal (left) and lateral (right) view. Abbreviations: I–VIII = presacral numbers, S = sacrum, S.d = sacral diapophysis, U = urostyle, U.dr = urostyle dorsal ridge, tp = transverse processes, mr = medial ridge, na = neural arch, ns = neural spine.
FIGURE 4 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 4. Photographs of the holotypes of the species treated in this manuscript, in dorsal (top row) and ventral (bottom row) views.
FIGURE 3 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 3. Majority-rule consensus tree of the Rhombophryne serratopalpebrosa species group and its sister clade, obtained by partitioned BI analysis, based on 2491 nucleotide characters of two mitochondrial and one nuclear gene (16S, cox1, sacs). Asterisks indicate Bayesian posterior probability values (*0.95–0.98, **0.99–1.0; not shown if <0.95). Stumpffia psologlossa and other species of Rhombophryne were used as hierarchical outgroups and are here excluded from the figure as they are not the subject of this study. Members of the R. serratopalpebrosa species group are depicted in life, not to scale.
FIGURE 19 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 19. Hindlimb anatomy of the R. serratopalpebrosa species group showing the right femur in (a) medial and (b) lateral view, the right tibiofibula in (c) ventral and (d) dorsal view, and (e) the right pes and tibiale-fibulare in ventral view. Abbreviations: tf.si = sulcus intermedius of tibiofibula, tsl(s) = tarsal(s).
FIGURE 2 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 2. Definition of skeletal measurements taken for this study: (a) snout length, from the anterior frontoparietal to the anterior premaxilla; (b) brain case width, at mid-orbit; (c) skull length, from occipital condyle of exoccipital to the anterior premaxilla; (d) maximum skull width, typically at the middle of the quadratojugal (not landmark-based); (e) parasphenoid length; (f) parasphenoid width, at mid-orbit; (g) length of parasphenoid cultriform process; (h) distance from parasphenoid alae to waist of cultriform process (the waist being a distinct discontinuity in the angle of expansion of the cultriform process); (i) coracoid width at glenoid socket; (j) coracoid width at thinnest point; (k) coracoid width at sternal end; (l) length of anterior edge of coracoid; (m) length of posterior edge of coracoid; (n) length of anterior face of scapula, (o) length of urostyle; (p) distal width of sacral diapophysis; (q) base width of sacral diapophysis; (r) length of acetabulum; (s) distance between anterior tips of iliac shafts; (t) length of femur from condyle to condyle; (u) length of tibiofibula from condyle to condyle. Not to scale.
FIGURE 1 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 1. Four of the named species from the Rhombophryne serratopalpebrosa group. (a) R. ornata, (b) R. vaventy, (c) R. coronata, and (d) R. tany. No photos in life of R. serratopalpebrosa are available. Rhombophryne guentherpetersi is shown in Fig. 6.
FIGURE 5 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 5. Comparative morphology of the heads, feet, and hands of members of the Rhombophryne serratopalpebrosa species group. All specimens are the holotypes of their respective species, except R. coronata, which is paratype ZSM 694/ 2001. Asterisks indicate mirrored images. Not to scale.
FIGURE 14 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 14. The posteromedial hyoid processes and mandible of the R. serratopalpebrosa species group shown in dorsal view. Abbreviations: mmk = mentomeckelian bone, angspl = angulosplenial, angspl.cp = angulosplenial coronoid process, php.base = base of posteromedial hyoid process, php.mc = medial crista of posteromedial hyoid process.
FIGURE 18 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 18. The pelvic girdle of the R. serratopalpebrosa species group in lateral and dorsal view. Darker colour indicates cartilage. Abbreviations: il.cr = iliac crest, il.sh = iliac shaft, il.dp = dorsal prominence of ilium, il.og = oblique groove of ilium.
FIGURE 10 in A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists
FIGURE 10. Osteology of Rhombophryne regalis sp. nov. (MRSN A4602). Full skeleton in (a) dorsal, (b) ventral, and (c) lateral view; skull in (d) dorsal, (e) ventral, and (f) lateral view. Abbreviations as in Fig. 7.
Per-chalcopyrite particle morphological analysis data obtaining from three time-lapse micro-CT images and the PhreeqcRM simulation data
<p>The file "overall_particles.xlsx" includes all the image-based quantifications of all chalcopyrite particles extracted from three time-lapse micro-CT images. These image-based quantifications include specific surface area, volume, liberation ratio, mass before leaching, in the middle of leaching, and after leaching.</p> <p> </p> <p>The file "PhreeqcRM simulation.xlsx" includes the PhreeqcRM simulation results using experimental and image-based data.</p> <p> </p> <p>The file "<a href="https://zenodo.org/api/records/15239075/draft/files/Laplace_Solver-master-main.zip/content" target="_blank" rel="noopener noreferrer">Laplace_Solver-master-main.zip</a>" includes the diffusion simulation source code.</p>
Micro-CT dataset of Rijksmuseum cornett top half (2/2)
<p><strong>Summary</strong></p> <p>This submission contains a micro-CT reconstruction of a cornett from the Rijksmuseum collection (obj. nr. BK-AM-62-B; https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B). This dataset contains tile 9-15 (out of 15), dataset 2 (out of 2) covering the top half of the cornetto.</p> <p>The data relates to [Bossema, 2021], [Dorscheid, 2022] and [Van Liere, 2022].</p> <p><em> </em></p> <p><strong>Apparatus</strong></p> <p>The dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban, 2020].</p> <p><em> </em></p> <p><strong>Sample Information</strong></p> <p>The sample is cornett, height 56.0 cm x width 10.0 cm x diameter 3.5 cm , c. 1600 - c. 1650 [Rijksmuseum inventory number BK-NM-62-B, https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B]. It was mounted in a custom made foam stand on the rotation stage. See Figure 10 in [Bossema, 2021] for a picture of the object and the mount and results [Bossema, 2021], [Dorscheid, 2022] and [Van Liere, 2022] for analysis of the reconstructed images. <em> <br><br></em></p> <p><strong><em>Experimental Plan</em></strong></p> <p>The data in this submission was collected to illustrate the scanning process to iteratively include feedback from cultural heritage experts [Bossema, 2021] and was later used for a detailed investigation of the current state and earlier restoration treatments [Dorscheid, 2022] and for illustrating the dual space method [Van Liere, 2022].</p> <p>To image the entire object, thirty tiles were scanned with SOD = 734 and SDD = 1098, in two sessions of 15 tiles (5 vertical, 3 horizontal). For each scan, the sample was rotated 360° in circular and continuous motion, with a dark-field (closed-shutter), and flat-field (open-shutter) images taken before the acquisition. The datasets of each tile consist of 1200 projections, at 70kV, 42W, 300ms exposure time.</p> <p>For the reconstructed CT volume, see 10.5281/zenodo.14265065.</p> <p> </p> <p><strong>List of Contents</strong></p> <p>This dataset contains tile 9-15 (out of 15), dataset 2 (out of 2) covering the top half of the cornetto.</p> <p>Each tile data folder (T*) contains:</p> <ul> <li>dark-field (or closed-shutter) image, <em>di000000.tif</em>,</li> <li>flat-field (or open-shutter) image before acquisition, <em>io000000.tif</em></li> <li>raw (unprocessed or uncorrected) projections, <em>scan_*.tif</em>,</li> <li><em>data settings XRE.txt</em>, a text file with scanner metadata</li> </ul> <p><strong>Additional Links</strong></p> <p>These datasets are produced by the <a>Computational Imaging group</a> at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's <a>GitHub page</a>.</p> <p><em> </em></p> <p><strong>Contact Details</strong></p> <p>For more information or guidance in using these datasets, please get in touch with </p> <ul> <li>bossema [at] cwi.nl</li> </ul> <p><em> </em></p> <p><strong>Acknowledgments</strong></p> <p>The authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).</p> <p> </p> <p><strong>References</strong></p> <p>S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, “Explorative imaging and its implementation at the FleX-ray Laboratory,” <em>J. Imaging</em>, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018.</p> <p><a href="https://www.sciencedirect.com/science/article/pii/S1296207421000558"><strong>F.G.Bossema</strong>, S.B. Coban, A. Kostenko, P. van Duin, J. Dorscheid, I. Garachon, E. Hermens, R. van Liere, K. J. Batenburg, “Integrating expert feedback on the spot in a time-efficient explorative CT scanning workflow for cultural heritage objects”, Journal of Cultural Heritage, Vol. 49, p38-47, 2021</a></p> <p><a href="https://heritagesciencejournal.springeropen.com/articles/10.1186/s40494-022-00800-8">J. Dorscheid, <strong>F.G. Bossema</strong>, P. van Duin, S.B. Coban, R. van Liere, K.J. Batenburg, G.P. Di Stefano, “Looking under the skin – multi-scale CT scanning of a peculiarly constructed cornett in the Rijksmuseum”, Heritage Science 10, 161 (2022)</a></p> <p>R. van Liere, K.J. Batenburg, I. Garachon, C.-L. Wang, J. Dorscheid (2022). The dual space: Concept and applications in cultural heritage. <em>IEEE BITS the Information Theory Magazine</em>, <em>2</em>(1), 49–57. doi:10.1109/MBITS.2022.3202508</p> <p>Kostenko, A., Palenstijn, W.J., Coban, S.B., Hendriksen, A.A., van Liere, R., Batenburg, K.J.,</p> <p>2020. Prototyping X-ray tomographic reconstruction pipelines with FleXbox. SoftwareX 11,</p> <p>100364. https://doi.org/10.1016/j.softx.2019.100364</p> <p> </p>
Micro-CT dataset of Rijksmuseum cornett top half (1/2)
<p><strong>Summary</strong></p> <p>This submission contains a micro-CT reconstruction of a cornett from the Rijksmuseum collection (obj. nr. BK-AM-62-B; https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B). This dataset contains tile 1-8 (out of 15), dataset 1 (out of 2) covering the top half of the cornetto.</p> <p>The data relates to [Bossema, 2021], [Dorscheid, 2022] and [Van Liere, 2022].</p> <p><em> </em></p> <p><strong>Apparatus</strong></p> <p>The dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban, 2020].</p> <p><em> </em></p> <p><strong>Sample Information</strong></p> <p>The sample is cornett, height 56.0 cm x width 10.0 cm x diameter 3.5 cm , c. 1600 - c. 1650 [Rijksmuseum inventory number BK-NM-62-B, https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B]. It was mounted in a custom made foam stand on the rotation stage. See Figure 10 in [Bossema, 2021] for a picture of the object and the mount and results [Bossema, 2021], [Dorscheid, 2022] and [Van Liere, 2022] for analysis of the reconstructed images. <em> <br><br></em></p> <p><strong><em>Experimental Plan</em></strong></p> <p>The data in this submission was collected to illustrate the scanning process to iteratively include feedback from cultural heritage experts [Bossema, 2021] and was later used for a detailed investigation of the current state and earlier restoration treatments [Dorscheid, 2022] and for illustrating the dual space method [Van Liere, 2022].</p> <p>To image the entire object, thirty tiles were scanned with SOD = 734 and SDD = 1098, in two sessions of 15 tiles (5 vertical, 3 horizontal). For each scan, the sample was rotated 360° in circular and continuous motion, with a dark-field (closed-shutter), and flat-field (open-shutter) images taken before the acquisition. The datasets of each tile consist of 1200 projections, at 70kV, 42W, 300ms exposure time.</p> <p>For the reconstructed CT volume, see 10.5281/zenodo.14265065.</p> <p> </p> <p><strong>List of Contents</strong></p> <p>This dataset contains tile 1-8 (out of 15), dataset 1 (out of 2) covering the top half of the cornetto.</p> <p>Each tile data folder (T*) contains:</p> <ul> <li>dark-field (or closed-shutter) image, <em>di000000.tif</em>,</li> <li>flat-field (or open-shutter) image before acquisition, <em>io000000.tif</em></li> <li>raw (unprocessed or uncorrected) projections, <em>scan_*.tif</em>,</li> <li><em>data settings XRE.txt</em>, a text file with scanner metadata</li> </ul> <p><strong>Additional Links</strong></p> <p>These datasets are produced by the <a>Computational Imaging group</a> at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's <a>GitHub page</a>.</p> <p><em> </em></p> <p><strong>Contact Details</strong></p> <p>For more information or guidance in using these datasets, please get in touch with </p> <ul> <li>bossema [at] cwi.nl</li> </ul> <p><em> </em></p> <p><strong>Acknowledgments</strong></p> <p>The authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).</p> <p> </p> <p><strong>References</strong></p> <p>S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, “Explorative imaging and its implementation at the FleX-ray Laboratory,” <em>J. Imaging</em>, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018.</p> <p><a href="https://www.sciencedirect.com/science/article/pii/S1296207421000558"><strong>F.G.Bossema</strong>, S.B. Coban, A. Kostenko, P. van Duin, J. Dorscheid, I. Garachon, E. Hermens, R. van Liere, K. J. Batenburg, “Integrating expert feedback on the spot in a time-efficient explorative CT scanning workflow for cultural heritage objects”, Journal of Cultural Heritage, Vol. 49, p38-47, 2021</a></p> <p><a href="https://heritagesciencejournal.springeropen.com/articles/10.1186/s40494-022-00800-8">J. Dorscheid, <strong>F.G. Bossema</strong>, P. van Duin, S.B. Coban, R. van Liere, K.J. Batenburg, G.P. Di Stefano, “Looking under the skin – multi-scale CT scanning of a peculiarly constructed cornett in the Rijksmuseum”, Heritage Science 10, 161 (2022)</a></p> <p>R. van Liere, K.J. Batenburg, I. Garachon, C.-L. Wang, J. Dorscheid (2022). The dual space: Concept and applications in cultural heritage. <em>IEEE BITS the Information Theory Magazine</em>, <em>2</em>(1), 49–57. doi:10.1109/MBITS.2022.3202508</p> <p>Kostenko, A., Palenstijn, W.J., Coban, S.B., Hendriksen, A.A., van Liere, R., Batenburg, K.J.,</p> <p>2020. Prototyping X-ray tomographic reconstruction pipelines with FleXbox. SoftwareX 11,</p> <p>100364. https://doi.org/10.1016/j.softx.2019.100364</p> <p> </p>
Micro-CT dataset of Rijksmuseum cornett bottom half (1/2)
<p><strong><span>Summary</span></strong></p> <p><span>This submission contains a micro-CT reconstruction of a cornett from the Rijksmuseum collection (obj. nr. </span><span>BK-AM-62-B; <a href="https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B">https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B</a>)</span><span>. </span><span>This dataset contains tile 1-8 (out of 15), dataset 1 (out of 2) covering the bottom half of the cornetto.</span></p> <p><span>The data relates to [Bossema, 2021], [Dorscheid, 2022] and [Van Liere, 2022]. </span></p> <p><em><span> </span></em></p> <p><strong><span>Apparatus</span></strong></p> <p><span>The dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban, 2020].</span></p> <p><em><span> </span></em></p> <p><strong><span>Sample Information</span></strong></p> <p><span>The sample is cornett</span><span>, </span><span><span>height 56.0 cm x width 10.0 cm x diameter 3.5 cm</span></span><span> , </span><span>c. 1600 - c. 1650</span><span> </span><span>[</span><span>Rijksmuseum inventory number</span><span> BK-NM-62-B, </span><span><span> </span></span><span>https://www.rijksmuseum.nl/nl/collectie/BK-AM-62-B</span><span>]. </span><span>It was mounted in a custom made foam stand on the rotation stage. <span> </span>See Figure 10 in [Bossema, 2021] for a picture of the object and the mount and </span><span>results [Bossema, 2021], [Dorscheid, 2022] and [Van Liere, 2022] </span><span>for analysis of the reconstructed images. <em> <br><br></em></span></p> <p><strong><em><span>Experimental Plan</span></em></strong></p> <p><span>The data in this submission was collected to illustrate the scanning process to iteratively include feedback from cultural heritage experts [Bossema, 2021] and was later used for a detailed investigation of the current state and earlier restoration treatments [Dorscheid, 2022] and for illustrating the dual space method [Van Liere, 2022].</span></p> <p><span>To image the entire object, thirty tiles were scanned with SOD = 734 and SDD = 1098, in two sessions of 15 tiles (5 vertical, 3 horizontal). For each scan, the sample was rotated 360° in circular and continuous motion, with a dark-field (closed-shutter), and flat-field (open-shutter) images taken before the acquisition. The datasets of each tile consist of 1200 projections, at 70kV, 42W, 300ms exposure time. </span></p> <p><span>For the reconstructed CT volume, see </span><span>10.5281/zenodo.14265065</span><span>. </span></p> <p><span> </span></p> <p><strong><span>List of Contents</span></strong></p> <p><span>This dataset contains tile 1-8 (out of 15), dataset 1 (out of 2) covering the bottom half of the cornetto.</span></p> <p><span>Each tile data folder (T*) contains:</span></p> <ul> <li><span>dark-field (or closed-shutter) image, <em>di000000.tif</em>,</span></li> <li><span>flat-field (or open-shutter) image before acquisition, <em>io000000.tif</em></span></li> <li><span>raw (unprocessed or uncorrected) projections, <em>scan_*.tif</em>,</span></li> <li><em><span>data settings XRE.txt</span></em><span>, a text file with scanner metadata</span></li> </ul> <p><strong><span>Additional Links</span></strong></p> <p><span>These datasets are produced by the </span><span><a><span>Computational Imaging group</span></a></span><span> at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's </span><span><a><span>GitHub page</span></a></span><span>.</span></p> <p><em><span> </span></em></p> <p><strong><span>Contact Details</span></strong></p> <p><span>For more information or guidance in using these datasets, please get in touch with </span></p> <ul> <li><span>bossema [at] cwi.nl</span></li> </ul> <p><em><span> </span></em></p> <p><strong><span>Acknowledgments</span></strong></p> <p><span>The authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers </span><span>341-60-001, </span><span>639.073.506 and </span><span>628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).</span></p> <p><span> </span></p> <p><strong><span>References</span></strong></p> <p><span>S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, “Explorative imaging and its implementation at the FleX-ray Laboratory,” <em>J. Imaging</em>, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018.</span></p> <p><a href="https://www.sciencedirect.com/science/article/pii/S1296207421000558"><strong><span>F.G.Bossema</span></strong><span>, S.B. Coban, A. Kostenko, P. van Duin, J. Dorscheid, I. Garachon, E. Hermens, R. van Liere, K. J. Batenburg, “Integrating expert feedback on the spot in a time-efficient explorative CT scanning workflow for cultural heritage objects”, Journal of Cultural Heritage, Vol. 49, p38-47, 2021</span></a></p> <p><a href="https://heritagesciencejournal.springeropen.com/articles/10.1186/s40494-022-00800-8"><span>J. Dorscheid, <strong><span>F.G. Bossema</span></strong>, P. van Duin, S.B. Coban, R. van Liere, K.J. Batenburg, G.P. Di Stefano, “Looking under the skin – multi-scale CT scanning of a peculiarly constructed cornett in the Rijksmuseum”, Heritage Science 10, 161 (2022)</span></a></p> <p>R. van Liere, K.J. Batenburg, I. Garachon, C.-L. Wang, J. Dorscheid (2022). <span>The dual space: Concept and applications in cultural heritage. <em><span>IEEE BITS the Information Theory Magazine</span></em>, <em><span>2</span></em>(1), 49–57. doi:10.1109/MBITS.2022.3202508</span></p> <p><span>Kostenko, A., Palenstijn, W.J., Coban, S.B., Hendriksen, A.A., van Liere, R., Batenburg, K.J.,</span></p> <p><span>2020. Prototyping X-ray tomographic reconstruction pipelines with FleXbox. SoftwareX 11,</span></p> <p><span>100364. https://doi.org/10.1016/j.softx.2019.100364</span></p> <p></p>
ScienceDex guides
Understand access before you commit
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.