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26 results for “NON-INVASIVE IDENTIFICATION”
The soundscape of swarming: Proof of concept for a non-invasive acoustic species identification of swarming Myotis bats
<p>Bats emit echolocation calls to orientate in their predominantly dark environment. Recording of species-specific calls can facilitate species identification, especially when mist-netting is not feasible. However, some taxa, such as Myotis bats are hard to distinguish acoustically. In crowded situations where calls of many individuals overlap the subtle differences between species are additionally attenuated. Here we sought to non-invasively study the phenology of <em>Myotis</em> bats during autumn swarming at a prominent hibernaculum. To do so we recorded sequences of overlapping echolocation calls (N=564) during nights of high swarming activity and extracted spectral parameters (peak frequency, start frequency, spectral centroid) and Linear Frequency Cepstral Coefficients (LFCCs) which additionally encompass the timbre (vocal 'colour') of calls. We used this parameter combination in a stepwise discriminant function analysis (DFA) to classify the call sequences to species level. A set of previously identified call sequences of single flying <em>Myotis</em> <em>daubentonii</em> and <em>Myotis</em> <em>nattereri</em>, the most common species at our study site, functioned as a training set for the DFA. 90.2% of the call sequences could be assigned to either <em>M</em>. <em>daubentonii</em> or <em>M</em>. <em>nattereri</em>, indicating the predominantly swarming species at the time of recording. We verified our results by correctly classifying a second set of previously identified call sequences with an accuracy of 100%. In addition, our acoustic species classification corresponds well to the existing knowledge on swarming phenology at the hibernaculum. Moreover, we successfully classified call sequences from a different hibernaculum to species level and verified our classification results by capturing swarming bats while we recorded them. Our findings provide the basis for a new non-invasive acoustic monitoring technique that analyses "swarming soundscapes" by combining classical acoustic parameters and LFCCs, instead of analysing single calls. Our approach for species identification is especially beneficial in situations with multiple calling individuals, such as autumn swarming.</p>
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 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>
Data from:Identifying cryptic mammals with non-invasive methods: An effective molecular species identification tool to survey southern African terrestrial carnivores
Open the record for dataset details and reuse information.
The soundscape of swarming: Proof of concept for a non-invasive acoustic species identification of swarming Myotis bats
Open the record for dataset details and reuse information.
Figure 3 in New non-invasive photo-identification technique for free-ranging giant anteaters (Myrmecophaga tridactyla) facilitates urgently needed field studies
Figure 3. Example of 4 years of consistent morphologic characteristics of a giant anteater (Myrmecophaga tridactyla). Variations in boldness of the drop-shaped black spot are typical for varying light situations. Uncommon are some white hairs within the black flag, the white 'blob' in the stripe above it and the ear shape. Photo by Lydia Möcklinghoff in the Brazilian Pantanal.
Figure 2 in New non-invasive photo-identification technique for free-ranging giant anteaters (Myrmecophaga tridactyla) facilitates urgently needed field studies
Figure 2. Example of coded photo-ID of four individual giant anteaters (Myrmecophaga tridactyla) sighted in the Brazilian Pantanal. For every picture the date, time and locality of the sighting were recorded. The arrows point to biometric traits that enable discrimination of individuals. These have been categorised in Table 1; stars refer to categories in this matrix (*foreleg, **bracelet, ***stripe, ****scars). As an example, the animals are here only shown from one lateral side. In practice, other photographs, preferably of both lateral sides as well as the front, were considered for the coding of the matrix and the catalogue. Photos by Lydia Möcklinghoff.
Figure 4 in New non-invasive photo-identification technique for free-ranging giant anteaters (Myrmecophaga tridactyla) facilitates urgently needed field studies
Figure 4. Relation between number of individuals classified by volunteers and grade of interobserver agreement relative to the identity assigned to individual giant anteaters by the first author.
Figure 1 in New non-invasive photo-identification technique for free-ranging giant anteaters (Myrmecophaga tridactyla) facilitates urgently needed field studies
Figure 1. Map of the study area, Fazenda Barranco Alto in the Southern Pantanal. The inset indicates its location in Brazil.
Identification of High-Risk Patients at Admission to an Emergency Department by Non-Invasive Hemodynamics
ClinicalTrials.gov study NCT03934775. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Identification of New Non-invasive, Predictive, and Diagnostic Biomarkers for Colorectal Cancer
ClinicalTrials.gov study NCT07153458. IPD Sharing: NO. Countries: 1. Publications: 3.
Early Identification of Subclinical Atherosclerosis Using Non-Invasive Imaging Research (EISNER)
ClinicalTrials.gov study NCT00927693. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Preoperative Identification of the Histologically "Vulnerable" Plaque Using Non-invasive Imaging, Biomechanical Assessment and Baroreflex Evaluation in Patients With Severe Carotid Stenosis
ClinicalTrials.gov study NCT05566080. IPD Sharing: UNDECIDED. Countries: 1. Publications: 13.
Portal Hypertension in Non-alcoholic Fatty Liver Disease: Association With Cardiovascular Risk and Identification of Non-invasive Biomarkers (THESIS)
ClinicalTrials.gov study NCT04191044. IPD Sharing: Not stated. Countries: 0. Publications: 4.
Identification of fetal unmodified and 5-hydroxymethylated CGs in maternal cell-free DNA for non-invasive prenatal testing
GEO Series GSE148964. Homo sapiens. 42 samples. Type: Other; Methylation profiling by high throughput sequencing.
Identification of potential non-invasive biomarkers for diagnosing patients with methamphetamine use disorder
GEO Series GSE227204. Homo sapiens. 62 samples. Type: Expression profiling by high throughput sequencing.
Data from: Genetic identification of Iberian rodent species using both mitochondrial and nuclear loci: application to non-invasive sampling
Species identification through non-invasive sampling is increasingly used in animal conservation genetics, given that it obviates the need to handle free-living individuals. Non-invasive sampling is particularly valuable for elusive and small species such as rodents. Although rodents are not usually assumed to be the most obvious target for conservation, of the 21 species or near-species present in Iberia, three are considered endangered and declining while several others are poorly studied. Here we develop a genetic tool for identifying all rodent species in Iberia by non-invasive genetic sampling. To achieve this purpose we selected one mitochondrial gene (cytochrome b – cyt-b) and one nuclear gene (interphotoreceptor retinoid-binding protein – IRBP), which we first sequenced using tissue samples. Both genes allow for the phylogenetic distinction of all species except the sibling species Microtus lusitanicus and M. duodecimcostatus. Overall, cyt-b showed higher resolution than IRBP, revealing a clear barcoding gap. To allow these markers to be applied to non-invasive samples, we selected a short highly-diagnostic fragment from each gene, which we used to obtain sequences from faeces and bones from owl pellets. Amplification success for the cyt-b and IRBP fragment was 85% and 43% in faecal and 88% and 64% in owl-pellet DNA extractions, respectively. The method allows the unambiguous identification of the great majority of Iberian rodent species from non-invasive samples, with application in studies of distribution, spatial ecology and population dynamics, and for conservation.
Non-invasive Identification of Colorectal Cancer and Adenomas in Early Stages
ClinicalTrials.gov study NCT05445570. IPD Sharing: NO. Countries: 1. Publications: 0.
Non-invasive Identification of Preoperative Anaemia
ClinicalTrials.gov study NCT04247178. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Non-Invasive Identification of Endometrial Cancer/Endometrial Atypical Hyperplasia With an AI-Based Classifier Applied to Transvaginal Ultrasound in Patients With Post-Menopausal Bleeding
ClinicalTrials.gov study NCT06365905. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.