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4,404 results for “digits”

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Figure 2 in The trouble with flippers: a report on the prevalence of digital anomalies in Cetacea

Figure 2. Illustrations of digital anomalies. A, the typical mammalian manus with five digits and a phalangeal formula of 2/3/3/3/3. B, hyperphalangy. C, polydactyly. D, polyphalangy. E, interdigital elements. Key: metacarpals (mc), dark grey; phalanges (ph), light grey; anomalous elements, black.

opencc-by-4.0Mar 2009View details →
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Figure 3 in The trouble with flippers: a report on the prevalence of digital anomalies in Cetacea

Figure 3. Published reports of cetacean digital malformations. A, cartilaginous interdigital elements in a fin whale (Balaenoptera physalus; Kükenthal, 1893). B and C, polyphalangy and an accessory ossification in two harbour porpoise (Phocoena phocoena; Kunze, 1912). D, polydactyly in the vaquita (Phocoena sinus; Ortega-Ortiz et al., 2000). E, polyphalangy in a bottlenose dolphin (Tursiops truncatus; Watson et al., 1994). F, polyphalangy in the beluga (Delphinapterus leucas; Yablokov, 1974). Illustrations are not drawn to scale. Roman numerals identify digits. Key: metacarpals, dark grey; phalanges, light grey; cartilages, white; anomalous elements, black.

opencc-by-4.0Mar 2009View details →
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Figure 7 in The trouble with flippers: a report on the prevalence of digital anomalies in Cetacea

Figure 7. Patterns of cetacean digital anomalies, and the possible developmental mechanisms that could generate these morphologies. Key: metacarpals, dark grey; phalanges, light grey; cartilages, white; anomalous elements, black.

opencc-by-4.0Mar 2009View details →
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Figure 5 in The trouble with flippers: a report on the prevalence of digital anomalies in Cetacea

Figure 5. Phalangeal fusion in tracing (A) and radiograph (B) of a common dolphin (Delphinus delphis, USNM 550041). C and D, accessory ossification in a dwarf sperm whale (Kogia sima, USNM 550482). E and F, additional metacarpal ossification centre in an Atlantic spotted dolphin (Stenella frontalis, USNM 504736). G and H, metacarpal–phalangeal and interphalangeal fusion in Gervais' beaked whale (Mesoplodon europeus, USNM 504256). Scale bars: 1 cm. Key: metacarpals, dark grey; phalanges, light grey; cartilages, white; anomalous elements, black.

opencc-by-4.0Mar 2009View details →
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Figure 1 in The trouble with flippers: a report on the prevalence of digital anomalies in Cetacea

Figure 1. The evolution of digits among tetrapods. A, the early Devonian tetrapod Tiktaalik (Shubin et al., 2006) with radials. B, Acanthostega (Coates & Clack, 1990) was the first tetrapod with digits. C, a synapsid (Carroll, 1988) displayed the canonical pentadactylous tetrapod manus. D, the pendtadactylous archaeocete cetacean Rodhocetus displayed the primitive mammalian phalangeal formula of 2/3/3/3/3 (Gingerich et al., 2001). Roman numerals indicate digit identity. Dark-grey elements are metacarpals, light-gray elements are phalanges. Radials (r) and lepitotrichia (le). Scale bars: 1 cm.

opencc-by-4.0Mar 2009View details →
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Fig. 79. Right digit I in The Osteology Of Alioramus, A Gracile And Long-Snouted Tyrannosaurid (Dinosauria: Theropoda) From The Late Cretaceous Of Mongolia

Fig. 79. Right digit I of the holotype specimen of Alioramus altai (IGM 100/1844). Scale bar 5 3 cm. Phalanx I-1 (A–F) in anterior (extensor) (A), posterior (flexor) (B), lateral (C), medial (D), proximal (E), and distal (F) views. Ungual phalanx I-2 (G–I) in lateral (G), medial (H), and proximal (I) views. Abbreviations: lgr, lateral groove on ungual; llp, lateral ligament pit; mgr, medial groove on ungual; mlp, medial ligament pit.

opencc-by-4.0Feb 2012View details →
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Control Accuracy Measurement of a Mixed Reality Application for Digital Twin based Crane Operation

<p>The dataset corresponds the measurement that was implemented on the control accuracy of a mixed reality application for a digital twin based crane.&nbsp;</p> <p>The dataset contains two CSV files, one &quot;Target&quot; &quot;, which is the selected target positions, and one &quot;Measurement results&quot;, which is the actual crane position after moving to the target position.&nbsp;</p>

opencc-by-4.0Jun 2021View details →
zenodo40/100

Orthomosaics and digital elevation model of the 'Bear Trap' - a Norse ruin in Northwest Greenland

<p>This dataset consists of a digital elevation model (DEM) and an orthomosaic of the &lsquo;Bear Trap&rsquo; (also called &lsquo;Bj&oslash;rnef&aelig;lden&rsquo; in Danish, and &lsquo;Putdlagssuaq&rsquo; or &lsquo;The Great Trap&rsquo; Greenlandic Kalaallisut), a Norse ruin at the western end of the Nuussuaq Peninsula in NW Greenland. Images comprise 1032 low-altitude aerial images acquired from an unoccupied aerial vehicle (DJI Phantom 3 Standard). These images were processed using Agisoft Metashape Pro (v1.7; Linux Ubuntu) following the USGS protocols for processing imagery in coastal areas. The locations of 8 ground control points (GCPs) were surveyed with a high accuracy global navigation satellite system (GNSS) receiver (Emlid Reach). The base station and rover data were processed using the Emlid distribution of the free RTKLib software (<a href="https://docs.emlid.com/reach/common/tutorials/gps-post-processing/">https://docs.emlid.com/reach/common/tutorials/gps-post-processing/</a>). Geoid height was computed using the online UNAVCO Geoid Height Calculator (<a href="https://www.unavco.org/software/geodetic-utilities/geoid-height-calculator/geoid-height-calculator.html">https://www.unavco.org/software/geodetic-utilities/geoid-height-calculator/geoid-height-calculator.html</a>). During the image alignment step in Metashape, the &lsquo;High&rsquo; accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were not used. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the intrinsic camera parameters were computed for each camera calibration group. GCPs were then imported and placed in each image. The dense point cloud was then computed using the &lsquo;Ultra High&rsquo; quality setting, followed by the DEM and orthomosaic. The resolution of the orthomosaic is 1.83 cm/pixel. 5 cm resolution orthomosaic and DEM were also exported for use in QGIS.&nbsp;</p> <p>&nbsp;</p> <p>A complete file list is provided in the README file that accompanies this dataset.</p> <p>&nbsp;</p> <p>The image survey was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, in affiliation with the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Proper archaeological permits for the survey were obtained in advance from the&nbsp;Greenland National Museum and Archives in Nuuk.&nbsp;Walsh et al. (2020) provide an overview of the archaeological surveys conducted during the VIMOA project and Walsh et al. (in prep) provide further details specific to The Bear Trap and surrounding archaeological contexts observed during the 2019 survey.</p> <p>Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. <em>Antiquity</em> 94:e6 doi:10.15184/aqy.2019.230</p> <p>Walsh, Matthew J., Daniel F. Carlson, Pelle Tejsner, and Steffen Thomsen. The Bear Trap: Reinvestigating a unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland. Submitted to <em>Arctic Anthropology</em>.</p>

opencc-by-4.0Sep 2020View details →
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An extension of Thing Descriptions from the Web of Things for Digital Twins (Sustainable Places 2022)

<p>Repository with examples for&nbsp;An extension of Thing Descriptions from the Web of Things for Digital Twins (Sustainable Places 2022) article.</p>

opencc-by-4.0Nov 2022View details →
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Dataset Literature Review Digital Forensic and Image Processing

<p>Data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur dengan kata kunci &quot;<em>digital forensic</em>&quot; dan &quot;<em>image processing</em>&quot;</p>

opencc-by-4.0Nov 2022View details →
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Dataset Literature Review Digital Forensic and Ghana

<p>Bahwa data ini digunakan untuk membuat penelitian sesuai dengan Tinjauan Literatur dengan kata kunci <em>&quot;Digital Forensic </em>dan<em>&nbsp;Ghana&quot;</em></p>

opencc-by-4.0Nov 2022View details →
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Dataset Literature Review Digital Forensic and Female

<p>Data ini digunakan untuk membuat penelitian sesuai dengan Tinjauan Literatur dengan kata kunci &quot;digital forensic&quot;&nbsp;dan &quot;female&quot;</p>

opencc-by-4.0Nov 2022View details →
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Dataset Literature Review Digital Forensic and Reproducibility of Result

<p>Data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur&nbsp;dengan kata kunci &quot;<em>digital forensic&quot; dan</em>&nbsp;&quot;<em>reproducibility of result&quot;</em></p>

opencc-by-4.0Nov 2022View details →
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Dataset Literature Review Digital Forensic and Humans

<p>Data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur dengan kata kunci &quot;D<em>igital Forensic&nbsp;dan&nbsp;Humans&quot;</em></p>

opencc-by-4.0Nov 2022View details →
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Dataset Literature Review Digital Forensic and Digital Forensics

<p>Data ini digunakan untuk membuat&nbsp;penelitian sesuai dengan Tinjauan Literatur dengan kata kunci &quot;<em>digital forensic</em>&quot; dan &quot;<em>digital forensics</em>&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic AND Humans

<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci &quot;Digital Forensic&quot; dan Humans</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic AND Image Processing

<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci &quot;digital forensic&quot; dan &quot;image processing&quot;&nbsp;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital forensic AND Ghana

<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci &quot;Digital Forensic&quot;&nbsp;dan &quot;Ghana&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic AND Reproducibility of Results

<p>data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci &quot;Digital Forensic&quot; dan &quot;Reproducibility of Results&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic AND Female

<p>Data ini digunakan untuk membuat penelitian berdasarkan&nbsp;tinjauan literatur dengan kata kunci &quot;digital forensic&quot;&nbsp;dan &quot;Female&quot;</p>

opencc-by-4.0Nov 2022View details →

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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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