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Dataset results
17 results for “liveness detection”
Datasets underlying the paper Zero-mode waveguide nanowells for single-molecule detection in living cells
<p>Different datasets underlying the paper Zero-mode waveguide nanowells for single-molecule detection in living cells. The repository contains .zip archives, mostly containing a readme file with additional information.</p> <pre>Cell imaging experiments.zip contains the raw image files acquired on arrays of version 1 or version 2 using a Nikon TI inverted microscope and used in figures 4-6. </pre> <p>Gla_0127_14.zip contains SEM images of the fabrication of arrays of version 1</p> <p>Gla_29_Pd_1.zip contains SEM images of the fabrication of arrays of version 2</p> <p>SM experiments.zip contains the raw single-molecule fluorescence data acquired on an array of version 1 using a PicoQuant Microtime microscope together with the analysis files.</p> <p>FDTD simulations.zip contains the simulation files for the use in the software Lumerical</p>
Fig. 1 in First Molecular Detection of Giardia duodenalis Assemblage B in a Free-Living European Wildcat (Felis s. silvestris) from Luxembourg
Fig. 1. Neighbor-joining distance analysis of the β-giardin nucleotide sequences. FS1 – sequence of partial β-giardin gene of the isolate from wildcat (KX685669). Reference human isolates: WB and KC8, (X85958 and AY072723); LD18, Nij5, VAN/90/UBC/44, GH- 202 (AY072727, AY072725, KP687755, AB618785); A101 and – cat isolate, (AY647264 and EU769206); P15 – reference cow isolate, (AY072729); A29 and A27 – reference dog isolates (AY545646 and AY545648). G. muris (AY258618) represents an outgroup.
Active Close Contact Investigation of Tuberculosis Through Computer-aided Detection and Stool Xpert MTB/RIF Among People Living in Ethiopia
ClinicalTrials.gov study NCT05818059. IPD Sharing: NO. Countries: 1. Publications: 1.
Pitfalls and windfalls of detecting demographic declines using population genetics in long-lived species
Open the record for dataset details and reuse information.
ShimFall&ADL: Triaxial accelerometer fall and activities of daily living detection dataset
<p> </p> <p><strong>ShimFall&ADL dataset</strong></p> <p> </p> <p><strong>Version </strong>1.0 (2020-06-19)</p> <p><strong>Please cite as:</strong> "T. Althobaiti, S. Katsigiannis, N. Ramzan, Triaxial accelerometer-based Fall and Activities of Daily Life detection using machine learning, Sensors, 20(13), 3777, 2020. doi: 10.3390/s20133777"</p> <p> </p> <p><strong>Disclaimer</strong><br> While every care has been taken to ensure the accuracy of the data included in the ShimFall&ADL dataset, the authors and the University of the West of Scotland do not provide any guaranties and disclaim all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs which you might incur as a result of the provided data being inaccurate or incomplete in any way and for any reason. 2020, University of the West of Scotland, Scotland, United Kingdom.</p> <p><br> <strong>Contact</strong><br> For inquiries regarding the ShimFall&ADL dataset, please contact:<br> Dr Stamos Katsigiannis, Stamos.Katsigiannis@uws.ac.uk, University of the West of Scotland<br> Prof. Naeem Ramzan, Naeem.Ramzan@uws.ac.uk, University of the West of Scotland</p> <p> </p> <p><strong>Acknowledgment</strong></p> <p>The authors would like to thank Md. Hasan Shahriar for the data collection under his MSc project.</p> <p> </p> <p><strong>Dataset summary</strong><br> The ShimFall&ADL dataset contains recordings from 35 individuals, acquired using a chest-strapped Shimmer v2 tri-axial accelerometer, recording at a 50Hz sampling rate. Experiments were conducted in a controlled environment at a research lab in the University of the West of Scotland. Thirty five (35) healthy individuals were recruited among young or mid-aged volunteers, aged between 19 and 34 years old, having a body weight between 52 and 113 kg, and a body height between 1.45 and 1.82 m.</p> <p>Participants performed the following activities of daily living (ADL):<br> Jumping<br> Lying down<br> Bending/picking up<br> Sitting to a chair<br> Standing up from a chair<br> Walking</p> <p>Participants performed the following falls:<br> Steep (hard)<br> Front (soft)<br> Front (hard)<br> Left (soft)<br> Left (hard)<br> Right (soft)<br> Right (hard)<br> Back (soft)<br> Back (hard)</p> <p><br> <strong>Data</strong><br> Each ".dat" file in the dataset corresponds to one event for one individual and contains 101 accelerometer samples corresponding to the event. Each row of the file corresponds to one 3-channel sample, dividing the x, y, z axes values using the "\t" character, as follows:<br> Row 1: x1\ty1\tz1<br> Row 2: x2\ty2\tz2<br> ...<br> Row N: xN\tyN\tzN</p> <p>The files within the dataset are named as follows:<br> adl_<ADL activity>_<Participant ID>.dat<br> <Fall Type>fall_<soft,hard>_<Participant ID>.dat</p> <p>For example, the file "adl_standingfromchair_18.dat" corresponds to the accelerometer recording of the 18th participant, performing the "standing up from chair" ADL. The file, "leftfall_soft_11.dat" corresponds to the accelerometer recording of the 11th participant, performing a soft left fall.</p> <p><br> <strong>Additional information</strong><br> For additional information regarding the creation of the ShimFall&ADL dataset, please refer to the associated publication: "T. Althobaiti, S. Katsigiannis, N. Ramzan, Triaxial accelerometer-based Fall and Activities of Daily Life detection using machine learning, Sensors, 20(13), 3777, 2020. doi: 10.3390/s20133777"</p>
Determining the efficacy of camera traps, live capture traps, and detection dogs for locating cryptic small mammal species
<p>Metal box (e.g., Elliott, Sherman) traps and remote cameras are two of the most commonly employed methods presently used to survey terrestrial mammals. However, their relative efficacy at accurately detecting cryptic small mammals has not been adequately assessed. The present study therefore compared the effectiveness of metal box (Elliott) traps and vertically oriented, close range, white flash camera traps in detecting small mammals occurring in the Scenic Rim of eastern Australia. We also conducted a preliminary survey to determine effectiveness of a conservation detection dog (CDD) for identifying presence of a threatened carnivorous marsupial, <i>Antechinus arktos,</i> in present-day and historical locations, using camera traps to corroborate detections. 200 Elliott traps and 20 white flash camera traps were set for four deployments per method, across a site where the target small mammals, including <i>A. arktos</i>, are known to occur. Camera traps produced higher detection probabilities than Elliott traps for all four species. Thus, vertically mounted white flash cameras were preferable for detecting the presence of cryptic small mammals in our survey. The CDD, which had been trained to detect <i>A. arktos</i> scat, indicated in total 31 times when deployed in the field survey area, with subsequent camera trap deployments specifically corroborating <i>A. arktos</i> presence at 100% (3) indication locations. Importantly, the dog indicated twice within Border Ranges National Park, where historical (1980s-1990s) specimen-based records indicate the species was present, but extensive Elliott and camera trapping over the last 5-10 years have resulted in zero <i>A. arktos</i> captures. Camera traps subsequently corroborated <i>A. arktos</i> presence at these sites. This demonstrates that detection dogs can be a highly effective means of locating threatened, cryptic species, especially when traditional methods are unable to detect low-density mammal populations.</p>
Screening Test Accuracy of Gynocular™, HR-HPV Testing, VIA for Detection of Cervical Neoplastic Lesions, in Women Living With HIV
ClinicalTrials.gov study NCT03931083. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Saving Lives by Early Detection and Treatment of Sepsis and Septic Shock by Point of Care Lactate Test in Adults
ClinicalTrials.gov study NCT05108467. IPD Sharing: YES. Countries: 1. Publications: 1.
Determining the efficacy of camera traps, live capture traps, and detection dogs for locating cryptic small mammal species
Open the record for dataset details and reuse information.
Data from: Low bottleneck detection in long-lived species despite lost genetic diversity: a case study of tuatara and eastern massasauga rattlesnakes
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Cytokine-independent detection of antigen-specific germinal center T follicular helper (Tfh) cells in immunized non-human primates using a live cell Activation Induced Marker (AIM) technique
GEO Series GSE81382. Macaca mulatta. 5 samples. Type: Expression profiling by high throughput sequencing.
Early detection of food safety and spoilage incidents based on live microbiome profiling and qPCR-based monitoring of indicators
GEO Series GSE255249. food metagenome. 145 samples. Type: Other.
Stories for Change: Early Detection Can Save Lives
ClinicalTrials.gov study NCT05956353. IPD Sharing: NO. Countries: 1. Publications: 0.
CRISPR-Assisted Detection of RNA-Protein Interactions in Living Cells
GEO Series GSE137556. Homo sapiens; Mus musculus musculus x Mus musculus castaneus. 21 samples. Type: Expression profiling by high throughput sequencing.
A Split Luciferase Biosensing Platform for Detection and Imaging of Chromatin Loops in Individual Live Cells
GEO Series GSE295357. Homo sapiens. 12 samples. Type: Other.
Detection of genomic G-quadruplexes in living cells using a small artificial protein
GEO Series GSE133379. Mus musculus; Homo sapiens; Gallus gallus. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Circulating miRNAs detect high versus low visceral adipose tissue inflammation in patients living with obesity
GEO Series GSE240273. Homo sapiens. 35 samples. Type: Expression profiling by high throughput sequencing.
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.