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139 results for “Individual identification”
Fig. 1 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 1. Maps showing the location of Zamami Island and the study sites: (a) Urunusachi and (b) Ama.
DATA FOR NON-INVASIVE (PHOTO) INDIVIDUAL FISH IDENTIFICATION OF MULTIPLE SPECIES
<p>This paper describes data from five studies focused on the individual fish identification of the same species. The lateral images of five fish species are present in the dataset. The dataset's primary purpose is to provide a data to develop a non-invasive and remote method of individual fish identification using fish skin patterns, which can serve as a substitute for the common invasive fish tagging. The lateral images of the whole fish body on the homogenous background for Sumatra barb, Atlantic salmon, Sea bass, Common carp and Rainbow trout are available with automatically extracted parts of the fish with skin patterns. A different number of individuals (Sumatra barb – 43, Atlantic salmon – 330, Sea bass – 300, Common carp – 32, Rainbow trout - 1849) were photographed by the digital camera Nikon D60 under controlled conditions. The photographs of only one side of the fish with several (from 3 to 20) repetitions were taken. Common carp, Rainbow trout and Sea bass were photographed out of the water. Atlantic salmon was photographed underwater, out of the water, and the eye of the fish was photographed by the microscope camera. Sumatra barb was photographed under the water only. For all species, except Rainbow trout, the data collection was repeated after a different period (Sumatra barb – four months, Atlantic salmon – six months, Sea bass – one month, Common carp – four months) to collect the data for a study of skin patter changes (aging). The development of the method for photo-based individual fish identification was performed on all datasets. The identification accuracy for all species for all periods was 100% using the nearest neighbour classification. Different methods for skin pattern parametrization were used. </p> <p>The dataset can be used to develop remote and non-invasive individual fish identification methods. The studies focused on the discrimination power of the skin pattern can benefit from it. The changes of skin patterns due to fish aging can be explored from the dataset.</p>
Non - invasive identification of individuals of Sumatra barb Puntigrus tetrazona
<p>Non-invasive fish identification of individuals can provide new possibilities for the monitoring of fish cultivation, improve and make fish production technologies less demanding for farmers, and increase fish welfare. The aim of this research is to confirm the idea of automatic non-invasive image-based fish identification of individuals using visible features on a fish body and prove the pattern stability during the fish cultivation period. Visible patterns, such as black stripes along the body of a Sumatra barb (<em>Puntigrus tetrazona)</em>, were used for machine identification of individual fish. Two experiments were completed: A short-term experiment (43 fish) to show the uniqueness of the stripe patterns for identification, and a long-term experiment (25 fish) to test the stability of patterns during the cultivation period. The overall accuracy of classification was 100% for data collection in one day and 88% between two data collection times. This study shows that visible patterns and image processing methods can be used to automatically identify individual fish of the same species.</p>
Photo - Identification of individuals of Atlantic salmon (eye dataset)
<p>Identification of individuals of salmon. Eye data. Original and processed data of four datasets. Totally 330 fish were collecred for the short term scenario and 30 out of 330 fish were tagged and kept for a long term experiment.</p>
Non - invasive identification of individuals of Atlantic salmon (aquarium data)
<p>Non - invasive identification of individuals of Atlantic salmon (aquarium data). There are four datasets. First dataset is a 330 fish individuals of atlantic Salmon, they are separated ito 6 part. Then, other Three datsets are tagged 30 fish out of those 330 fish. There are original data and processed data. data were collected in aquarium with water.</p>
Non-invasive identification of individuals of Atlantic salmon (tent data)
<p>Non-invasive identification of individuals of Atlantic salmon (tent data). 328 fish were sampled. 30 fish were tagged for next data collection. totally 4 data collection were done. The fish were photographed in tent out of water. The fish were photographed on the green background for simple fish localization.</p> <p>Each image was processed separately. First the green background was detected based on the defined value of the green in HSV color space. The backgound was used as the area of fish appearance. In the secodn step the fish was segmented on the background using the specific color of the fish in HSV color space. The fish was detected as the largest object. Some morphological operations were used to correct fish shape. The object was rotated to the horizontal position. The fish tail was removed by the algorithm because it was detected on some images and not detected on the rest. Therefore the algorithm detects the begining of back tail as the most narrow place at back part of the fish. The lenght of the fish and the height of the fish was used for the localization of the ROI. The ROI is shown on the image bellow. The ROI was selected to cover the fish body with most visible patter.</p> <p>Uploaded files - original and processd files for all data collections.</p>
Use of HIV Self-Test Kits to Increase Identification of HIV-Infected Individuals and Their Partners
ClinicalTrials.gov study NCT03271307. IPD Sharing: NO. Countries: 1. Publications: 4.
Evaluation of a Proactive Identification and Digital Mental Health Intervention Approach to Address Unmet Psychosocial Needs of Individuals Living With Cancer
ClinicalTrials.gov study NCT05932810. IPD Sharing: NO. Countries: 1. Publications: 1.
Supplementary data from: Critical role of LdZIP7 in enhancing cadmium tolerance of Lymantria dispar larvae: Functional identification at both the individual and cellular levels
Open the record for dataset details and reuse information.
Data from: Friends and Family: a software program for identification of unrelated individuals from molecular marker data. And from: Genetic diversity, relatedness and inbreeding of ranched and fragmented Cape buffalo populations in southern Africa
The identification of related and unrelated individuals from molecular marker data is often difficult, particularly when no pedigree information is available and the data set is large. High levels of relatedness or inbreeding can influence genotype frequencies and thus genetic marker evaluation, as well as the accurate inference of hidden genetic structure. Identification of related and unrelated individuals is also important in breeding programmes, to inform decisions about breeding pairs and translocations. We present Friends and Family, a Windows executable program with a graphical user interface that identifies unrelated individuals from a pairwise relatedness matrix or table generated in programs such as COANCESTRY and GenAlEx. Friends and Family outputs a list of samples that are all unrelated to each other, based on a user-defined relatedness cut-off value. This unrelated data set can be used in downstream analyses, such as marker evaluation or inference of genetic structure. The results can be compared to that of the full data set to determine the effect related individuals have on the analyses. We demonstrate one of the applications of the program: how the removal of related individuals altered the Hardy-Weinberg equilibrium test outcome for microsatellite markers in an empirical data set. Friends and Family can be obtained from https://github.com/DeondeJager/Friends-and-Family.
Data from: Noninvasive individual and species identification of jaguars (Panthera onca), pumas (Puma concolor) and ocelots (Leopardus pardalis) in Belize, Central America using cross-species microsatellites and fecal DNA
There is a great need to develop efficient, noninvasive genetic sampling methods to study wild populations of multiple, co-occurring, threatened felids. This is especially important for molecular scatology studies occurring in challenging tropical environments where DNA degrades quickly and the quality of faecal samples varies greatly. We optimized 14 polymorphic microsatellite loci for jaguars (Panthera onca), pumas (Puma concolor) and ocelots (Leopardus pardalis) and assessed their utility for cross-species amplification. Additionally, we tested their reliability for species and individual identification using DNA from faeces of wild felids detected by a scat detector dog across Belize in Central America. All microsatellite loci were successfully amplified in the three target species, were polymorphic with average expected heterozygosities of HE = 0.60 ± 0.18 (SD) for jaguars, HE = 0.65 ± 0.21 (SD) for pumas and HE = 0.70 ± 0.13 (SD) for ocelots and had an overall PCR amplification success of 61%. We used this nuclear DNA primer set to successfully identify species and individuals from 49% of 1053 field-collected scat samples. This set of optimized microsatellite multiplexes represents a powerful tool for future efforts to conduct noninvasive studies on multiple, wild Neotropical felids.
Data from: Population genetic structure in hyacinth macaws (Anodorhynchus hyacinthinus) and identification of the probable origin of confiscated individuals
Understanding the intraspecific genetic composition of populations in different geographic locations is important for the conservation of species. If genetic variability is structured, conservation strategies should seek to preserve the diversity of units. Also, origin of individuals can be determined, which is important for guiding actions against animal trafficking. The hyacinth macaw (Anodorhynchus hyacinthinus) is located in allopatric regions, vulnerable to extinction and suffering animal trafficking pressure. Therefore, we characterized its population genetic structure based on 10 microsatellites from 98 individuals and 2123bp of mitochondrial sequence (ND5, cytochrome b, and ND2) from 80 individuals. Moderate to high levels of differentiation were observed among 3 geographic regions of Brazil: the north/northeast of the country, the north Pantanal, and the south Pantanal. Differentiation between the 2 regions within the Pantanal was not expected, as they are relatively close and there is no known barrier to macaw movement between these regions. These genetically differentiated groups were estimated to have diverged 16000 to 42000 years ago. The low genetic variability observed seems not to be the result of past bottlenecks, although a star-shaped haplotype network and the mismatch distribution suggest that there was recent demographic expansion in the north and northeast. Environmental changes in the Holocene could have caused this expansion. Given the genetic structure observed, the most probable regions of origin of 24 confiscated individuals were identified. Thus, these data helped to trace illegal traffic routes and identify natural populations that are being illegally harvested.
Annotated audio of the loud nest calls of brooding female rooks in five colonies with individual-level identification
<p>This data accompanies our article entitled '<strong>Individual, but not nest cluster or colonial, vocal signatures in the nest call of female rooks (Corvus frugilegus)</strong>'.</p> <p>The dataset.zip archive contains audio and annotations obtained from recording five different colonies of rooks during the breeding season. The audio was compressed losslessly to .flac files from the original wav format to save storage space. The annotations are the corresponding .txt files containing timestamps and individual identity for each call used in the article, intended for viewing in Audacity (open the flac files, then import the annotation file with the same name). Finally, the tabelau_vocs.tsv file is essentially all the .txt files aggregated for the analysis. </p> <p>Note that to run the analysis, either the .flac audio files must be converted back to .wav files, or the tableau_vocs.tsv file should be edited to point at the .flac files instead of the original .wav files.</p> <p>The intermediate_results.zip archive contains all intermediate results used in the analysis. These are meant to be used with the provided .R scripts in the same archive, which reproduce the statistical analysis and the figures in the article and supplementary.</p> <p>Finally, the supplementary.zip archive contains the supplementary materials provided with the article, including the supplementary.pdf file containing additional analyses, and the example_nest_calls folder containing example of nest calls from various females in the five colonies.</p> <p>The example nest calls are provided at various stages of processing: raw audio extracted from the spectrogram (the .wav files without suffixes), high-pass filter above 100 Hz (.wav files with the 'filtered' suffix), audio with all the processing steps including the spectral gating-based denoising, pre-amplification, and centering (.wav files with the 'processed' suffix), and spectrograms used as inputs for the analysis after dB-scaling and Mel frequenct-scaling (.png files).</p> <p> </p> <p>The rook_vocal_signatures-main.zip archive contains all the code as of the date of submission (August 21st, 2024) used in the article. This was added purely to anonymise the submission as much as possible. Up-to-date code should still be consulted from the link above (will be added after the paper is accepted.</p>
Distribution. Lowland forests of W Brazil, E Peru, and N Bolivia, S of the Amazon River. Because of abundance of individuals in the C. castanea complex, hampering precise species identification in the field and in collections, a detailed assessment ofits distribution is still needed. in Phyllostomidae
Distribution. Lowland forests of W Brazil, E Peru, and N Bolivia, S of the Amazon River. Because of abundance of individuals in the C. castanea complex, hampering precise species identification in the field and in collections, a detailed assessment ofits distribution is still needed.
FIGURE 72 in Identification of Mediterranean marine gobies (Actinopterygii: Gobiidae) of the continental shelf from photographs of in situ individuals
FIGURE 72. Freshly dead coloration of Silhouettea aegyptia. Photo by S.V. Bogorodsky, Al Lith, Saudi Arabia, Red Sea.
FIGURE 66 in Identification of Mediterranean marine gobies (Actinopterygii: Gobiidae) of the continental shelf from photographs of in situ individuals
FIGURE 66. Live coloration in its natural habitat of Pomatoschistus microps, A) male, B) female. Photos by R. Groenveld, Netherlands.
FIGURE 63 in Identification of Mediterranean marine gobies (Actinopterygii: Gobiidae) of the continental shelf from photographs of in situ individuals
FIGURE 63. Live coloration in its natural habitat of Pomatoschistus bathi. Photo by R. Pillon, Rab Island, Croatia, northern Adriatic Sea.
FIGURE 60 in Identification of Mediterranean marine gobies (Actinopterygii: Gobiidae) of the continental shelf from photographs of in situ individuals
FIGURE 60. Freshly dead coloration of Lesueurigobius sanzi. Photo by A. Kassar, Beni Saf, Alboran Sea, Algeria.
FIGURE 58 in Identification of Mediterranean marine gobies (Actinopterygii: Gobiidae) of the continental shelf from photographs of in situ individuals
FIGURE 58. Live coloration in its natural habitat of Gobius roulei. A) Pale male, photo by R. Pillon, Maddalena, Sardinia, Italy. B) Male in nocturnal dark coloration, photo by S. Le Bris, Marseille, Southern France.
FIGURE 57 in Identification of Mediterranean marine gobies (Actinopterygii: Gobiidae) of the continental shelf from photographs of in situ individuals
FIGURE 57. Live coloration in its natural habitat of Gobius paganellus. A) Light colored individual, photo by M. Kovačić, Bol, island of Brač, Croatia, central Adriatic Sea. B) Dark-colored male, photo by G. Kunz, Donji Kraj, Istria, Croatia, northern Adriatic Sea.
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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.