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88 results for “individual recognition”
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.
Evidence for individual vocal recognition in a pair-bonding poison frog, Ranitomeya imitator
<p>Individually distinctive vocalizations are widespread in nature, although the ability of receivers to discriminate these signals has only been explored through limited taxonomic and social lenses. Here, we asked whether anuran advertisement calls, typically studied for their role in territory defense and mate attraction, facilitate recognition and preferential association with partners in a pair-bonding poison frog (<em>Ranitomeya imitator</em>). Combining no- and two-stimulus choice playback experiments, we evaluated behavioral responses of females to male acoustic stimuli. Virgin females oriented to and approached speakers broadcasting male calls independent of caller identity, implying that females are generally attracted to male acoustic stimuli outside the context of a pair bond. When pair-bonded females were presented with calls of a mate and a stranger, they showed significant preference for calls of their mate. Moreover, behavioral responses varied with breeding status: females with eggs were faster to approach stimuli than females that were pair-bonded but did not currently have eggs. Our study suggests a potential role for individual vocal recognition in the formation and maintenance of pair bonds in a poison frog and raises new questions about how acoustic signals are perceived in the context of monogamy and biparental care.</p>
Рис. 8. ОтноситеΛьная преΑставΛенность транскриптов патогенраспознающих рецепторов в гемоцитах моΛΛюсков Planorbarius corneus, заражённых трематоΑами Bilharziella polonica (I) и незаражённых особей (N) Fig. 8. Relative number of transcripts of pattern recognition receptors from hemocytes of Planorbarius corneus molluscs infected with Bilharziella polonica trematodes (I) and uninfected individuals (N) in Pathogen recognition molecules from hemocytes of Planorbarius corneus molluscs (Planorbidae, Pulmonata)
Рис. 8. ОтноситеΛьная преΑставΛенность транскриптов патогенраспознающих рецепторов в гемоцитах моΛΛюсков Planorbarius corneus, заражённых трематоΑами Bilharziella polonica (I) и незаражённых особей (N) Fig. 8. Relative number of transcripts of pattern recognition receptors from hemocytes of Planorbarius corneus molluscs infected with Bilharziella polonica trematodes (I) and uninfected individuals (N)
Datasets and codes for De Lorm et al. 2023: Optimising the automated recognition of individual animals to support population monitoring
<p>Reliable estimates of population size and demographic rates are central to assessing the status of threatened species. However, obtaining individual-based demographic rates requires long-term data, which is often costly and difficult to collect. Photographic data offer an inexpensive, non-invasive method for individual-based monitoring of species with unique markings, and could therefore increase available demographic data for many species. However, selecting suitable images and identifying individuals from photographic catalogues is prohibitively time-consuming. Automated identification software can significantly speed up this process. Nevertheless, automated methods for selecting suitable images are lacking, as are studies comparing the performance of the most prominent identification software packages.</p> <p> </p> <p>In this study, we develop a framework that automatically selects images suitable for individual identification, and compare the performance of three commonly used identification software packages; Hotspotter, I<sup>3</sup>S-Pattern, and WildID. As a case study, we consider the African wild dog <em>Lycaon pictus</em>, a species whose conservation is limited by a lack of cost-effective large-scale monitoring. To evaluate intra-specific variation in the performance of software packages, we compare identification accuracy between two populations (in Kenya and Zimbabwe) that have markedly different coat colouration patterns. </p> <p> </p> <p>The process of selecting suitable images was automated using Convolutional Neural Nets that crop individuals from images, filter out unsuitable images, separate left and right flanks, and remove image backgrounds. Hotspotter had the highest image-matching accuracy for both populations. However, the accuracy was significantly lower for the Kenyan population (62%), compared to the Zimbabwean population (88%). </p> <p> </p> <p>Our automated image pre-processing has immediate application for expanding monitoring based on image-matching. However, the difference in accuracy between populations highlights that population-specific detection rates are likely and may influence certainty in derived statistics. For species such as the African wild dog, where monitoring is both challenging and expensive, automated individual recognition could greatly expand and expedite conservation efforts. </p>
Evidence for individual vocal recognition in a pair-bonding poison frog, Ranitomeya imitator
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Data from: Evidence for a selective link between cooperation and individual recognition
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Dataset from 'Billino, J., van Belle, G., Rossion, B., & Schwarzer, G. (2018). The nature of individual face recognition in preschool children: Insights from a gaze-contingent paradigm. Cognitive Development, 47, 168-180. DOI: 10.1016/j.cogdev.2018.06.007
<p>The folder contains a data file and a description file providing column labels.</p> <p>For further questions, please contact:<br> jutta.billino[at]psychol.uni-giessen.de</p>
Geographic differences in individual recognition linked with social but not nonsocial cognition
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Early postnatal individual vocal recognition in a highly colonial mammal species
<p>Dataset associated with the article entitled 'Early postnatal individual vocal recognition in a highly colonial mammal species'</p>
FIGURE 15. Drouetiella fasciculata. A. Fasiculated filaments with individual sheath. B in Revision of the Synechococcales (Cyanobacteria) through recognition of four families including Oculatellaceae fam. nov. and Trichocoleaceae fam. nov. and six new genera containing 14 species
FIGURE 15. Drouetiella fasciculata. A. Fasiculated filaments with individual sheath. B. Mature trichomes with one to two large central granules. B–C. Different coiling patterns of filaments. D. Hormogonia. E–G. Cells barrel-shaped, not constricted and separated by somewhat translucent cross-walls. Scale bar 10μm in 400X (A) and 1000X magnification (B–J).
FIGURES 84–87 in Facial affect recognition in individuals at clinical high risk for psychosis
FIGURES 84–87. Mesoceration, aedeagi of holotypes. —84. M. brevigranum. —85. M. granulovestum. —86. M. truncatum. —87. M. umbrosum.
FIGURES 78–81 in Facial affect recognition in individuals at clinical high risk for psychosis
FIGURES 78–81. Mesoceration, aedeagi of holotypes. —78. M. concessum. —79. M. tabulare. —80. M. littlekarroo. —81. M. piceum.
FIGURES 71–74 in Facial affect recognition in individuals at clinical high risk for psychosis
FIGURES 71–74. Mesoceration, aedeagi of holotypes. —71. M. bispinum. —72. M. curvosum. —73. M. longipennis. —74. M. natalensis.
FIGURES 55–58 in Facial affect recognition in individuals at clinical high risk for psychosis
FIGURES 55–58. Mesoceration, aedeagi of holotypes. —55. M. barriotum. —56. M. incarinum. —57. M. semicarinulum. —58. M. compressum.
FIGURES 47–50 in Facial affect recognition in individuals at clinical high risk for psychosis
FIGURES 47–50. Mesoceration, aedeagi of holotypes. —47. M. periscopum. —48. M. splendorum. —49. M. maluti. —50. M. rapidensis.
FIGURES 32–35 in Facial affect recognition in individuals at clinical high risk for psychosis
FIGURES 32–35. Parasthetops, aedeagi of holotypes. —32. P. benefossus. —33. P. parallelus. —34. P. camurus. —35. P. reflexus.
FIGURES 63–66 in Facial affect recognition in individuals at clinical high risk for psychosis
FIGURES 63–66. Mesoceration, aedeagi of holotypes. —63. M. integer. —64. M. drakensbergensis. —65. M. concavum. —66. M. bicurvum.
ScienceDex guides
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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.