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139 results for “Individual identification”
InterTVA. A multimodal MRI dataset for the study of inter-individual differences in voice perception and identification.
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Fig. 4 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 4. Percentage of correct matches (a) and expended minutes (b) between naked-eye and computer-assisted field test photo-identification for individual recognition of Rineloricaria aequalicuspis (n = 9). Boxplots show median (central thicker line), first and third quartile (box limits), 95% confidence interval of median (whiskers), and outliers.
Fig. 3 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 3. Variation in number, shape, size and organization of the bony plates covering the abdominal surface of six different Rineloricaria aequalicuspis individuals with more than 10 cm total length. These are examples of photographs taken during the field test. (a) 175 mm TL; (b) 138 mm TL; (c) 156 mm TL; (d) 145 mm TL; (e) 141 mm TL; (f) 151 mm TL.
Fig. 2 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 2. Diagram showing the steps employed to assess the performance of photo-identification technique in laboratory (a) and field (b) conditions for Rineloricaria aequalicuspis.
Fig. 1 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 1. Lateral, dorsal and ventral views of a Rineloricaria aequalicuspis individual (110 mm TL). Ventral view shows the arrangement of the abdominal plates. Photograph courtesy of L. R. Malabarba.
Fig. 4 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 4. Photographs of the left side of the tails of three recaptured snakes. (a) A juvenile male with 338 mm in SVL and the profile code 1212-12222- 122121-112222-112221, recorded on 15 March 2018, (b) The snake's recapture 159 days later, with 460 mm in SVL on 21 August 2018 and more cream flecks, and (c) the snake's additional recapture a further 373 days later, with 612 mm in SVL on 29 August 2019 and no additional increase in the number of flecks. (d) A juvenile male with 415 mm in SVL and the profile code 2221-1222-123222-123232-1222322, recorded on 22 August 2018. (e) The snake's recapture 58 days later with 437 mm in SVL on 19 October 2018 with enlarged flecks, and (f) another recapture a further 268 days later, with 551 mm in SVL on 14 July 2019 and no additional change in the flecks. (g) A semi-adult female with 499 mm in SVL and the profile code 21221-12221-222222-222232-23223322, recorded on 7 July 2017. (h) The snake's recapture 527 days later with 636 mm in SVL on 16 December 2018 and more flecks, and (i) another recapture a further 404 days later, with 691 mm in SVL on 24 January 2020 and no additional change in the flecks.
2 3 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
2 3 anterior ˱ posterior anterior ˱ posterior Fig. 3. The present coding system when there is an insertion of a scale row from the posterior to the anterior within a single cream band. a) When a large scale is followed by two small scales, the large scale is counted twice and the code for this example is "232232". b) When a new row is inserted between two rows, the inserted scale is judged as an independent row and the code for this example is "2221323".
Fig. 11 in Fig. 4 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 11. Ultrametric Bayesian phylogenetic tree of 22 species of the genus Stolephorus with evolution of the (modal) number of prepelvic scutes. Modal number of prepelvic scutes classified into three categories: six prepelvic scutes (black), five prepelvic scutes (grey), four prepelvic scutes (white). Character states at nodes estimated using likelihood optimization and a symmetric one-rate (''Mk1") model of evolution. At each node, relative probabilities of each diet category drawn using pie charts, with corresponding coding-colour. Pie charts at deepest nodes enlarged for clarity. Stolephorus specimens identified by museum registration number, specimen code or GenBank (GB) sequence accession number (see Table 1 for details). Outgroups Encrasicholina not shown. Branch lengths proportional to relative time (tree height scaled to 1). Posterior Probabilities shown at nodes when <1.
Fig. 10 in Fig. 4 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 10. Morphometric comparisons between Stolephorus dubiosus (open triangles) and S. taurus sp. nov. (closed circles). (a) for pectoral-fin length (P1L; as % of standard length; SL); (b) for pelvicfin length (P2L; as % of SL); (c) for second dorsal-fin ray length (2DRL; as % of SL); (d) for third dorsal-fin ray length (3DRL; as % of SL); (e) for second anal-fin ray length (2ARL; as % of SL); (f) for third anal-fin ray length (as % of SL); (g) for interorbital width (as % of head length; HL) to SL.
Fig. 8 in Fig. 4 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 8. Lateral (a), dorsal (b), and ventral (c) views of the holotype of Stolephorus taurus sp. nov., OCF-P 10434, 52.2 mm SL, estuary of Hooghly River, West Bengal, India.
Fig. 9 in Fig. 4 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 9. Stained scale removed from right side of midbody (just below dorsal fin) of paratype of Stolephorus taurus. KAUM–I. 157581, 53.2 mm SL, estuary of Hooghly River, West Bengal, India (left-right inverted). Grooves on scales forming a few separations.
Fig. 5 in Fig. 4 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 5. Left side of left hyoid arch of Stolephorus dubiosus (THNHM-F021239, 63.6 mm SL, cleared and stained). hypo lo, lower hypohyal; hypo up, upper hypohyal; chy, ceratohyal; gha, groove for hyoidean artery; eph, epihyal; inh, interhyal (broken); br, branchiostegal rays (seventh branchiostegal ray detached).
Fig. 7 in Fig. 4 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 7. Distributional records of Stolephorus dubiosus (circles) and S. taurus sp. nov. (triangles). Closed symbols, based on specimens examined in this study; open symbols, based on literature records or molecular evidence.
Fig. 2 in Fig. 4 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 2. (a) Lateral and (b) dorsal views of dorsal-fin origin of Stolephorus dubiosus, NSMT-P 127425, 55.7 mm SL, Songkhla Lake, Thailand (stained with Alizarine Red). Arrows indicate predorsal scute.
Fig. 4 in Fig. 4 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 4. Stained scale removed from right side of midbody (just below dorsal fin) of Stolephorus dubiosus. NSMT-P 127425, 49.9 mm SL, Songkhla Lake, Thailand (left-right inverted). Grooves on posterior part forming numerous separations.
Fig. 1 in Fig. 4 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 1. Stolephorus dubiosus: (a) Lateral view of holotype (BMNH 1969.4.22.1826, 70.0 mm SL, Thailand); (b) lateral view in fresh condition; (c) dorsal and (d) ventral views in preserved condition of non-type specimen (THMHM-F021237, 66.0 mm SL, Samut Sakhon Province, Thailand).
Datasets for automatic acoustic identification of individual birds
<p>Bird individual audio recordings (foreground and background) to accompany the work:</p> <p><em><strong>"Automatic acoustic identification of individuals: Improving generalisation across species and recording conditions"</strong></em><br> by Dan Stowell, Tereza Petrusková, Martin Šálek, Pavel Linhart</p> <p><a href="https://royalsocietypublishing.org/doi/10.1098/rsif.2018.0940">https://royalsocietypublishing.org/doi/10.1098/rsif.2018.0940</a></p> <p><br> This dataset contains labelled recordings of individuals from three different bird species:</p> <ul> <li>Little owl</li> <li>Chiffchaff</li> <li>Tree Pipit</li> </ul> <p>For more information, please see the README.txt file, and the research article.</p> <p>The dataset takes approx 11 GB of disk space after the ZIP files have been uncompressed.</p> <p> </p>
Caller identification and characterization of individual humpback whale acoustic behavior
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Systematic literature review of acoustic individual identification (AIID)
<p>Citations and characteristics of manuscripts considered relevant to acoustic individual identification (AIID). To be included in the review, at minimum a paper was required to: 1) Use recorded vocalizations, regardless of the method, and 2) attempt to differentiate individuals by vocal signature as an objective or as a step towards more advanced application of acoustic IID. Detailed methods are available in the "AIIDLiteratureReviewMethods.docx".</p>
Beef Cattle Muzzle/Noseprint database for individual identification
<p>This dataset contains muzzle/noseprint images for beef cattle. A total of 4923 muzzle images for 268 feedyard yearlings in the Midwest US were collected from March to July 2021, using a mirrorless digital camera (26 MP maximum resolution) and a 70-300 mm F4-5.6 focal lens. All images were taken outside of the pen did not create any contact or interference with the animals. These images covered three common US feedyard cattle breeds, including Angus, Angus x Hereford, and Continental x British cross). This database only contains the clean and cropped images showing the cattle muzzle area. </p> <p>All images are housed in individual folders in the <strong>.zip file: </strong>“BeefCattle_Muzzle_database.zip”. Each folder contains pictures from the same animal. On average, there were more than 12 images collected for each animal. </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)
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.