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Dataset results
169 results for “timing of detection”
Data from: Functional antibodies against Plasmodium falciparum sporozoites are associated with a longer time to qPCR-detected infection among schoolchildren in Burkina Faso
Background: Individuals living in malaria-endemic regions develop naturally acquired immunity against severe malarial disease, but it is unclear whether immunity that affects the establishment of infections develops following continuous natural exposure. Methods: We cleared schoolchildren in Burkina Faso of possible sub-patent infections and examined them weekly for incident infections by PCR. Plasma samples collected at enrolment were used to quantify antibodies to the pre-eryhrocytic-stage antigens circumsporozoite protein (CSP) and liver stage antigen. Sporozoite gliding inhibition by naturally acquired antibodies was assessed using Plasmodium falciparum NF54 sporozoites; hepatocyte invasion was assessed using the human HC-04 hepatoma cell line and NF54 sporozoites. The associations between these functional pre-erythrocytic immunity phenotypes and time to PCR-detected infection were studied. Results: A total of 51 children were monitored; the median time to first detection of infection by PCR or development of clinical symptoms was 28 days. Anti-CSP antibody titres showed a strong positive association with sporozoite gliding motility inhibition (P<0.0001, Spearman's ρ=0.76). In vitro hepatocyte invasion was inhibited by naturally acquired antibodies (median invasion inhibition, 19.4% [IQR 15.2-40.9%]), and there was a positive correlation between gliding and invasion inhibition (P=0.02, Spearman's ρ=0.60). Survival analysis indicated longer time to infection in individuals displaying higher-than-median sporozoite gliding inhibition activity (P=0.01). Conclusions: In summary, functional antibodies against the pre-erythrocytic stages of malaria infection are acquired in children who are repeatedly exposed to Plasmodium parasites. This immune response does not prevent them from becoming infected during a malaria transmission season, but might delay the appearance of blood stage parasitaemia and consequently needs to be considered in the evaluation of malaria vaccines.
COPERNICUS GRASSLAND LAYER FOR CHANGE DETECTION ON "MURGIA ALTA" - TIME T1 DATA
<p><strong>Time T1 data:</strong> Copernicus Natural Grasslands layer at 20 meters spatial resolution; year 2012; subset of the "Murgia Alta" protected area; reprojected in WGS84/UTM33.</p>
SENTINEL-2 SATELLITE IMAGE (2015, AUGUST 7) FOR CHANGE DETECTION ON "MURGIA ALTA" - TIME T2 DATA
<p><strong>Time T2 data:</strong> Sentinel-2 image, 10 bands at 20 meters spatial resolution; 2015, August 7; subset of the "Murgia Alta" protected area; projected in WGS84/UTM33; coregistered on the time T1 data.</p>
Data release: "The metallicity dependence and evolutionary times of merging binary black holes: Combined constraints from individual gravitational-wave detections and the stochastic background"
<p>This data release contains the data to reproduce the results of "<strong>The metallicity dependence and evolutionary times of merging binary black holes: Combined constraints from individual gravitational-wave detections and the stochastic background</strong>" (<a href="https://arxiv.org/abs/2310.17625">arXiv:2310.17625</a>, published version <a href="https://iopscience.iop.org/article/10.3847/1538-4357/ad3d5c">here</a>).</p> <p>The code that was used to generate this data can be found on <a href="https://github.com/kevinturbang/bbh_gwb_time_delay_inference">this GitHub repository</a>. Jupyter notebooks to reproduce the figures of the paper are also included, and can be found <a href="https://github.com/kevinturbang/bbh_gwb_time_delay_inference/tree/main/figures">here</a>.</p>
real time intrusion detection systems
<p>This repository includes data and results in chapter 5 of PhD thesis "A policy compliance detection architecture for data exchange infrastructures"</p>
Figure S1: Two-tailed intergroup Pearson analysis between patient age, COVID-19 detection, de-livery time, gravida, and termination week (Y-axis) with maternal and neonatal anti-COVID-19 immunoglobulins (IgG and IgM) (X-axis), depicted as a three-point color map (lowest = blue, 0 = white, highest = red) showed no significant correlation (at p>0.05).
<p>Figure S1: Two-tailed intergroup Pearson analysis between patient age, COVID-19 detection, de-livery time, gravida, and termination week (Y-axis) with maternal and neonatal anti-COVID-19 immunoglobulins (IgG and IgM) (X-axis), depicted as a three-point color map (lowest = blue, 0 = white, highest = red) showed no significant correlation (at p>0.05).</p>
Quantitative real-time PCR assays Q2 for species-specific detection and quantification of Baltic Sea spring bloom dinoflagellates
<p>These are the data behind figures 2 to 7 in the paper: Brink AM, Kremp A and Gorokhova E (2024) Quantitative real-time PCR assays for species-specific detection and quantification of Baltic Sea spring bloom dinoflagellates. Front. Microbiol. 15:1421101. doi: 10.3389/fmicb.2024.1421101</p>
Data from: Detection of airborne genetically modified maize pollen by real-time PCR
The cultivation of genetically modified (GM) crops has raised in the European Union and other parts of the world numerous concerns about their environmental and economic impact. Especially outcrossing of genetically modified organisms (GMO) was from the beginning a critical issue as airborne pollen has been considered an important way of GMO dispersal. Here, we investigate the use of airborne pollen sampling combined with microscopic analysis and molecular PCR analysis as an approach to monitor GM maize cultivations in a specific area. Field trial experiments in the European Union and South America demonstrated the applicability of the approach under different climate conditions, in rural and semi-urban environment, even at very low levels of airborne pollen. The study documents in detail the sampling of GM pollen, sample DNA extraction and real-time PCR analysis. Our results suggest that this ''GM pollen monitoring by bioaerosol sampling and PCR screening" approach might represent an aid in managing the co-cultivation of GM and non-GM crops, especially in the surveillance of GM-free areas, centres of origin, and natural reserves.
Detecting sub-stellar companions using the stellar pulsation timing method
<p>Video introduction to the poster <a href="http://wwwuser.gwdg.de/~felix.mackebrandt/plato21/">Detecting sub-stellar companions using the stellar pulsation timing method</a></p>
Data from: Ready to detect a reversal of time's arrow: a psychophysical study using short video clips in daily scenes
<p><span>It is generally believed that time flows in one direction and that a reversal of time's arrow would render the external world nonsensical. We </span><span>evaluated</span><span> our ability to tell the direction of time's arrow in a wide range of dynamic scenes in our daily life by presenting 360 video clips in the correct or incorrect direction</span><span>. </span><span>Participants, who judged the direction in a speeded manner, erred in 39% of trials when a video was played in reverse</span><span>,</span><span> but in </span><span>only </span><span>9% when it was played normally. Due to the bias favouring the "forward" judgement, reaction was generally faster for the forward response. However, </span><span>the</span><span> reaction became paradoxically faster and more synchronous for the detection of reversal in some critical occasions such as forward motion</span><span>, </span><span>free fall, diffusion, division, and addition of materials by hand. Another experiment with a fraction of the video clips revealed that reversal replay of these videos provided instantaneous evidence strong enough to overtake the forward judgment bias. We suggest that our brain is equipped with a system that predicts how the external organisms behave or move in these critical occasions and that the prediction error of the system contributes to the fast "reversal" detection. </span></p>
Real-time Welding Sparks Detection on Construction Sites us-ing Contour Detection and Deep Learning
<p>One of the primary causes of fires at construction sites is welding sparks. Fire detection systems utilizing computer vision technology offer a unique opportunity to monitor fires in construction sites. However, little effort has been made to date in regards to real-time tracking of small sparks that can lead to major fires at construction sites. In this study, a novel method is proposed to detect welding sparks in real time contour detection with deep learning parameter tuning. An automatic parameter tuning algorithm employing a convolutional neural network was developed to identify the optimum hue-saturation-value. Additional filtering methods regarding non-welding zone and contour area-based filter, were also newly developed to enhance prediction accuracy of welding sparks. The method was evaluated using 230 welding sparks images and 104 videos. The results obtained from the welding images indicate that the suggested model for detecting welding sparks achieves a precision of 74.45% and a recall of 63.50% when noise images, such as flashing and reflection light, were removed from the dataset. Furthermore, our findings demonstrate that the proposed model is effective in capturing the number of welding sparks in the video dataset, with a 95.2% accuracy in detecting the moment when the number of welding sparks reaches its peak. These results highlight the potential of automated welding sparks detection for enhancing fire surveillance at construction sites.</p>
Retention time with molecular mass detection for pemetrexed, PEG, GABA, Pemetrexed-PEG conjugate, Pemetrexed-GABA conjugate
<p>This data represent the Retention time with molecular mass detection for pemetrexed, PEG, GABA, Pemetrexed-PEG conjugate, Pemetrexed-GABA conjugate</p>
Assessment of the Emfit Mattress Sensor for Detection and Alarm of Night-time Generalized Tonic-clonic Seizures.
ClinicalTrials.gov study NCT02661919. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Real-time Computer-aided System (ENDO-AID) on Adenoma Detection in Endoscopist-in-training
ClinicalTrials.gov study NCT04838951. IPD Sharing: NO. Countries: 1. Publications: 1.
Continuous Hemoglobin Monitoring: Detection of Acute Blood Loss - Accurate, Timely and Cost-effective
ClinicalTrials.gov study NCT02138175. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Evaluation of Whole Body Examination by MRI Integrating the "Zero Time Eco" Sequence (ZTE, Pseudo-CT) for the Detection of Bone Lesions in Multiple Myeloma: Comparison With Pet / CT and Whole Body Sca
ClinicalTrials.gov study NCT05381077. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Real-time Computer-Aided Detection of Colonic Adenomas With NEC WISE VISION® Endoscopy
ClinicalTrials.gov study NCT05611151. IPD Sharing: NO. Countries: 4. Publications: 1.
Detection of Chlamydia Trachomatis, Neisseria Gonorrhoeae and Mycoplasma Genitalium by Real-time Multiplex Polymerase Chain Reaction (PCR) After Pooling Pharyngeal, Anorectal and Urinary Samples
ClinicalTrials.gov study NCT03568695. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Effective Withdrawal Time and Adenoma Detection Rate
ClinicalTrials.gov study NCT06063720. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Real-time Computer Aided Detection of Barrett's Neoplasia
ClinicalTrials.gov study NCT05628441. IPD Sharing: NO. Countries: 1. Publications: 1.
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.