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1,474 results for “reliability”
Data from: Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding
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Data from: Do aggressive signals evolve toward higher reliability or lower costs of assessment?
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Data from: Sepsis surveillance: an examination of parameter sensitivity and alert reliability
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The reliability and validity of an Arabic version of the modified Japanese Orthopedic Association score for cervical myelopathy
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Data from: Environmental DNA metabarcoding reliably recovers arthropod interactions which are frequently observed by video recordings of flowers
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Data from: probing variation in reaction norms in wild populations: the importance of reliable environmental proxies
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Supplementary material 1 from: Schenk J, Geisen S, Kleinboelting N, Traunspurger W (2019) Metabarcoding data allow for reliable biomass estimates in the most abundant animals on earth. Metabarcoding and Metagenomics 3: e46704. https://doi.org/10.3897/mbmg.3.46704
: Data type: species data
Supplementary material 1 from: Schenk J, Geisen S, Kleinboelting N, Traunspurger W (2019) Metabarcoding data allow for reliable biomass estimates in the most abundant animals on earth. Metabarcoding and Metagenomics 3: e46704. https://doi.org/10.3897/mbmg.3.46704
: Data type: species data
Replication Package for: Scalable and Reliable Multi-Dimensional Sensor Data Aggregation in Data-Streaming Architectures
<p>This repository contains a replication package and experimental results for our study on <em>Scalable and Reliable Multi-Dimensional Sensor Data Aggregation in Data-Streaming Architectures</em>.</p> <p>It features the presented implementations with Kafka Streams, tools for load generation and data collection, scripts for executing the presented evaluations as well as our raw results and script for analysis. A detailed description is given in the top-level README.md file.</p>
In Vivo Spectral Distortions of Infrared Luminescent Nanothermometers Compromise Their Reliability
<p>Dataset accompanying figures presented in: <a href="https://zenodo.org/record/3906054#.XvNS5ygzbtQ">https://zenodo.org/record/3906054#.XvNS5ygzbtQ</a></p>
Data from: Intra-Rater reliability and validity of outcome measures in Myotonic Dystrophy Type 1
<p>Objective</p> <p>To investigate intra-rater reliability, concurrent- and construct validity of muscle strength, balance, and functional mobility measures in individuals with non-congenital DM1.</p> <p>Methods</p> <p><a name="_Hlk4397329">Seventy-eight adults with non-congenital DM1 participated in visit 1 and 73 of the subjects participated in visit 2 separated by 1-2 weeks. The assessments consisted of </a>muscle strength tests with Hand-Held Dynamometry (HHD) and Stationary Dynamometry in the lower limb. The balance tests comprised of Step Test, Timed Up and Go test, Feet-Together stance, Tandem-Stance, One-Leg-Stance, and modified Clinical Test of Sensory Integration and Balance on a balance platform. The functional mobility tests consisted of the 10-meter Walk Test (10mWT) and 10-times Sit-To-Stand test.</p> <p><a name="_Hlk14169462">Results</a></p> <p>The HHD and Stationary Dynamometry were sufficiently intra-rater reliable for most muscle groups on a group- (SEM<sub>%</sub>≤15%) and individual level (MDD<sub>95%</sub>≤30%), but HHD was most reliable. Stationary Dynamometry measured a higher torque than HHD for all extensor muscles, but for single individuals none of the devices were favored. Overall, intra-rater reliability and validity were only sufficient for the dynamic balance tests and not the static balance tests. Both functional mobility tests were sufficiently reliable and valid, but the 10mWT was most reliable.</p> <p>Conclusion</p> <p>Overall, HHD is recommended as a reliable and valid tool for single individuals and for flexor muscles on a group level. For balance assessments, the dynamic balance tests are recommended as the most valid and reliable balance tests. Both functional mobility tests are recommended for valid and reliable outcomes, but the 10mWT was superior for reliability.</p>
Data-driven identification of reliable sensor species to predict regime shifts in ecological networks
<p>Signals of critical slowing down are useful for predicting impending transitions in ecosystems. However, in a system with complex interacting components not all components provide the same quality of information to detect system-wide transitions. Identifying the best indicator species in complex ecosystems is a challenging task when a model of the system is not available. In this paper, we propose a data-driven approach to rank the elements of a spatially-distributed ecosystem based on their reliability in providing early-warning signals of critical transitions. The proposed method is rooted in experimental modal analysis techniques traditionally used to identify structural dynamical systems. We show that one could use natural system fluctuations and the system responses to small perturbations to reveal the slowest direction of the system dynamics and identify indicator regions that are best suited for detecting abrupt transitions in a network of interacting components. The approach is applied to several ecosystems to demonstrate how it successfully ranks regions based on their reliability to provide early-warning signals of regime shifts. The significance of identifying the indicator species and the challenges associated with ranking nodes in networks of interacting components are also discussed.</p>
NuSeT training dataset/model weights from (NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells)
<p>This is the Full NuSeT training dataset and model training weights used in paper: NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells <a href="https://www.biorxiv.org/content/10.1101/749754v1">https://www.biorxiv.org/content/10.1101/749754v1</a> (doi 10.1371/journal.pcbi.1008193), part of the training data comes from <a href="https://www.kaggle.com/c/data-science-bowl-2018">https://www.kaggle.com/c/data-science-bowl-2018</a></p>
Ag2S nanoheaters with multiparameter sensing for reliable thermal feedback during in vivo tumor therapy
<p>The emergence of luminescence nanothermometry in bio and nanomedicine has enabled achievements outside the reach of conventional techniques. For instance, it has provided real-time monitoring to in vivo thermal therapies of tumors, a mandatory requirement for these techniques to work safely and efficiently. However, the reliability of intratumoral thermal readings is currently in question due to the presence of artefacts caused by the inhomogeneous optical properties of biological tissues. This work demonstrates how it is possible to avoid, under specific conditions, these artefacts and reach precise and reliable in vivo intratumoral thermal feedback during in vivo photothermal treatments. The method proposed is based on the use of luminescent nanoparticles capable of multiparametric thermal sensing. The results demonstrate how the convergence of the different thermal readouts becomes a solid indicator of their reliability. It is shown how this new approach makes possible precise (thermal uncertainties below 1 °C) intratumoral thermal feed-back, while simple, efficient, and minimally invasive in vivo thermal treatments of surface tumors is carried out. Results included in this work provide an ingenious route toward the consolidation of luminescence nanothermometry as a convincing technique for high sensitivity preclinical thermal sensing, while also constituting a step toward improved photothermal therapies.</p>
Benchmark Data Set of "epiTracker - A framework for highly-reliable particle tracking for the quantitative analysis of fish movements in tanks"
<p>Data set containing five videos differing in fish species (zebrafish and medaka), number of individuals (3 to 10), lighting and type of tank for comparison of tracking algorithms. For each video a Matlab file (*.mat) exists, which contains the position data of the fish.</p> <p>Each of the five videos consists of ~10000 frames, which at a frame rate of 30FPS corresponds to a length of about 5.5min.</p>
Data from: Reliability-based weighting of visual and vestibular cues in displacement estimation
When navigating through the environment, our brain needs to infer how far we move and in which direction we are heading. In this estimation process, the brain may rely on multiple sensory modalities, including the visual and vestibular systems. Previous research has mainly focused on heading estimation, showing that sensory cues are combined by weighting them in proportion to their reliability, consistent with statistically optimal integration. But while heading estimation could improve with the ongoing motion, due to the constant flow of information, the estimate of how far we move requires the integration of sensory information across the whole displacement. In this study, we investigate whether the brain optimally combines visual and vestibular information during a displacement estimation task, even if their reliability varies from trial to trial. Participants were seated on a linear sled, immersed in a stereoscopic virtual reality environment. They were subjected to a passive linear motion involving visual and vestibular cues with different levels of visual coherence to change relative cue reliability and with cue discrepancies to test relative cue weighting. Participants performed a two-interval two-alternative forced-choice task, indicating which of two sequentially perceived displacements was larger. Our results show that humans adapt their weighting of visual and vestibular information from trial to trial in proportion to their reliability. These results provide evidence that humans optimally integrate visual and vestibular information in order to estimate their body displacement.
Data from: Reliability of single-use PEEP-valves attached to self-inflating bags during manual ventilation of neonates – an in vitro study
Introduction International resuscitation guidelines suggest to use positive end-expiratory pressure (PEEP) during manual ventilation of neonates. Aim of our study was to test the reliability of self-inflating bags (SIB) with single-use PEEP valves regarding PEEP delivery and the effect of different peak inflation pressures (PIP) and ventilation rates (VR) on the delivered PEEP. Methods Ten new single-use PEEP valves from 5 manufacturers were tested by ventilating an intubated 1kg neonatal manikin containing a lung model with a SIB that was actuated by an electromechanical plunger device. Standard settings: PIP 20cmH2O, VR 60/min, flow 8L/min. PEEP settings of 5 and 10cmH2O were studied. A second test was conducted with settings of PIP 40cmH2O and VR 40/min. The delivered PEEP was measured by a respiratory function monitor (CO2SMO+). Results Valves from one manufacturer delivered no relevant PEEP and were excluded. The remaining valves showed a continuous decay of the delivered pressure during expiration. The median (25th and 75th percentile) delivered PEEP with standard settings was 3.4(2.7–3.8)cmH2O when set to 5cmH2O and 6.1(4.9–7.1)cmH2O when set to 10cmH2O. Increasing the PIP from 20 to 40 cmH2O led to a median (25th and 75th percentile) decrease in PEEP to 2.3(1.8–2.7)cmH2O and 4.3(3.2–4.8)cmH2O; changing VR from 60 to 40/min led to a PEEP decrease to 2.8(2.1–3.3)cmH2O and 5.0(3.5–6.2)cmH2O for both PEEP settings. Conclusion Single-use PEEP valves do not reliably deliver the set PEEP. PIP and VR have an effect on the delivered PEEP. Operators should be aware of these limitations when manually ventilating neonates.
Data from: Digital photography provides a fast, reliable and non-invasive method to estimate anthocyanin pigment concentration in reproductive and vegetative plant tissues
1. Anthocyanin pigments have become a model trait for evolutionary ecology since they often provide adaptive benefits for plants. Anthocyanins have been traditionally quantified biochemically, or more recently using spectral reflectance. However, both methods require destructive sampling and can be labour intensive and challenging with small samples. Recent advances in digital photography and image processing make it the method of choice for measuring colour in the wild. Here, we use digital images as a quick, non-invasive method to estimate relative anthocyanin concentration among plants exhibiting colour variation. 2. By using a consumer-level digital camera and a free image processing toolbox, we extracted RGB values from digital images to generate colour indices. We tested petals, stems, pedicels and calyces of six species, which contain different types of anthocyanin pigments and exhibit different pigmentation patterns. Colour indices were assessed by their correlation to biochemically determined anthocyanin concentration. For comparison, we also calculated colour indices from spectral reflectance and tested the correlation with anthocyanin concentration. 3. Indices perform differently depending on the nature of the colour variation. For both digital images and spectral reflectance, the most accurate estimates of anthocyanin concentration emerge from anthocyanin content-chroma ratio (ACCR), anthocyanin-chroma basic (ACCB) and strength of green (S green) indices. Some colour indices derived from digital images and spectral reflectance strongly correlate with biochemically determined anthocyanin concentration, but the estimates from digital images performed better than spectral reflectance in terms of 2 and normalized root-mean-square error. This was particularly noticeable in a species with striped petals, but in the case of striped calyces both methods showed a comparable relationship with anthocyanin concentration. 4. Using digital images brings new opportunities to accurately quantify the anthocyanin concentration in both floral and vegetative tissues. This method is efficient, completely non-invasive, applicable to both uniform and patterned colour, and works with samples of any size.
Data from: How reliably can we infer diversity-dependent diversification from phylogenies?
Slowdowns in lineage accumulation in phylogenies suggest that speciation rates decline as diversity increases. Likelihood methods have been developed to detect such diversity dependence. However, a thorough test of whether such approaches correctly infer diversity dependence is lacking. Here, we simulate phylogenetic branching under linear negative diversity-dependent and diversity-independent models and estimate from the simulated phylogenies the maximum-likelihood parameters for three different conditionings – on survival of the birth–death process given the crown age, on tree size (N) and on tree size given the crown age. We report the accuracy of recovering the simulation parameters and the reliability of the model selection based on the χ2 likelihood ratio test. Parameter estimate accuracy: Conditioning on survival given the crown age yields a severe bias of the carrying capacity K towards N and an upward bias of the speciation rate, particularly in clades where diversity-dependent feedbacks are still weak (N « K). Conditioning on N yields an overestimate of K and an underestimate of speciation rate, particularly when saturation has been reached. Dual conditioning yields relatively unbiased parameter estimates on average, but the deviation from the true value for any single estimate may be large. Model selection reliability: The frequency of incorrectly rejecting a diversity-independent model when the simulation was diversity-independent (type I error) differs substantially from the significance level α used in the likelihood ratio test, rendering the likelihood ratio test inappropriate. The frequency of correctly rejecting the diversity-independent model when the simulation was diversity-dependent (power) is larger when the clade is closer to equilibrium and for conditioning on crown age. We conclude that conditioning on crown age has the best statistical properties overall, but caution that parameter estimates may be biased. To assess parameter uncertainty in future studies of diversity dependence on real data, we recommend parametric bootstrapping, examination of the likelihood surface and comparison of estimates across the types of conditioning. To assess model selection reliability, we discourage the use of the χ2 likelihood ratio test or AIC (which are equivalent in this case), but recommend a likelihood ratio test based on parametric bootstrap. We illustrate this method for the diversification of Dendroica warblers.
Data from: Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning
Although it is well known that long-term synaptic plasticity can be expressed both pre- and postsynaptically, the functional consequences of this arrangement have remained elusive. We show that spike-timing-dependent plasticity with both pre- and postsynaptic expression develops receptive fields with reduced variability and improved discriminability compared to postsynaptic plasticity alone. These long-term modifications in receptive field statistics match recent sensory perception experiments. Moreover, learning with this form of plasticity leaves a hidden postsynaptic memory trace that enables fast relearning of previously stored information, providing a cellular substrate for memory savings. Our results reveal essential roles for presynaptic plasticity that are missed when only postsynaptic expression of long-term plasticity is considered, and suggest an experience-dependent distribution of pre- and postsynaptic strength changes.
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.