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139 results for “parameter estimation”
Data from: Estimating the parameters of background selection and selective sweeps in Drosophila in the presence of gene conversion
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Data from: Objective estimation of sensory thresholds based on neurophysiological parameters
Reliable determination of sensory thresholds is the holy grail of signal detection theory. However, there exists no assumption-independent gold standard for the estimation of thresholds based on neurophysiological parameters, although a reliable estimation method is crucial for both scientific investigations and clinical diagnosis. Whenever it is impossible to communicate with the subjects, as in studies with animals or neonates, thresholds have to be derived from neural recordings or by indirect behavioral tests. Whenever the threshold is estimated based on such measures, the standard approach until now is the subjective setting—either by eye or by statistical means—of the threshold to the value where at least a "clear" signal is detectable. These measures are highly subjective, strongly depend on the noise, and fluctuate due to the low signal-to-noise ratio near the threshold. Here we show a novel method to reliably estimate physiological thresholds based on neurophysiological parameters. Using surrogate data we demonstrate that fitting the responses to different stimulus intensities with a hard sigmoid function, in combination with subsampling, provides a robust threshold value as well as an accurate uncertainty estimate. This method has no systematic dependence on the noise and does not even require samples in the full dynamic range of the sensory system. We prove that this method is universally applicable to all types of sensory systems, ranging from somatosensory stimulus processing in the cortex to auditory processing in the brain stem.
Exploring the effects of experimental parameters and data modeling approaches on in vitro transcriptomic point-of-departure estimates
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Spectral analysis for modal parameters linear estimate - Evaluation sets
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Estimating labquake source parameters: spectral inversion from a calibrated acoustic system
<p>Laboratory acoustic emissions (AEs) serve as small-scale analogues to earthquakes, offering fundamental insights into seismic processes. To ensure accurate physical interpretations of AEs, rigorous calibration of the acoustic system is essential. In this paper, we present an empirical calibration technique that quantifies sensor responses, instrumentation effects, and path characteristics into a single entity termed instrument apparatus response.</p> <p>Using a controlled seismic source with different steel balls, we retrieve the instrument apparatus response in the frequency domain under typical experimental conditions for various piezoelectric sensors (PZTs) arranged to simulate a three-component seismic station. Removing these responses from the raw AEs spectra allows us to obtain calibrated AE source spectra which are then effectively used to constrain the AEs seismic source parameters.</p> <p>We apply this calibration method to acoustic emissions (AEs) generated during unstable stick-slip behavior of quartz gouge in double-direct shear experiments. The calibrated AEs range in magnitude from -7.1 to -6.4 and exhibit stress drops between 0.075 MPa and 4.29 MPa, consistent with earthquake scaling relation. </p> <p>This result highlights the strong similarities between AEs generated from frictional gouge experiments and natural earthquakes. Through this acoustic emission calibration we gain physical insights into the seismic sources of laboratory AEs, enhancing our understanding of seismic rupture processes in fault gouge experiments.</p>
The Morphology and Parameter Estimation of Cranial Ultrasound Spectrum Based on Cerebral Artery
ClinicalTrials.gov study NCT04730713. IPD Sharing: NO. Countries: 1. Publications: 0.
Can Habitus Adapted Length Based Body Weight Estimation be Improved by Adding Further Parameters?
ClinicalTrials.gov study NCT02930928. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessment of Mean Fetal Kidney Length as a Reliable Parameter for Accurate Estimation of Gestational Age in Late 2nd and 3rd Trimesters
ClinicalTrials.gov study NCT07188324. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Objective estimation of sensory thresholds based on neurophysiological parameters
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Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates
GEO Series GSE249377. Homo sapiens. 5670 samples. Type: Expression profiling by high throughput sequencing.
Fig. 7 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 7. The six cavities embedded in Tyrannosaurus Model 1's head, neck, and trunk segments, shown in right lateral (A) and dorsal (B) views. 'bc' indicates the buccal cavity; and 'pc' indicates the pharyngeal cavity.
Fig. 8 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 8. Six Tyrannosaurus models (in right lateral view) from our sensitivity analysis, representing the extreme high and low values obtained for mass, CM, and inertia. Shown: Model 1 (original 'skinny' model), Model 3 (largest torso), Model 7 (largest torso and legs), Model 21 (largest cavities), Model 27 (largest legs and cavities), and Model 30 ('best guess'). The right hip joint (pink circle; to left) and total body COM with respect to that point (red circle; to right) are indicated, with the x; y; z world axes (right hip joint) and the x; y; z principal axes for inertia calculations (COM) indicated by arrows.
Fig. 4 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 4. Ostrich trunk mass set models: (A) photograph of original trunk carcass in right lateral view, suspended on a cable for CM and inertia estimation experiments; (B) point cloud of carcass landmarks from digitization; (C) B-spline solid shrinkwrapped to fit underlying carcass landmarks (carcass model); (D) photograph of skeleton after defleshing of carcass, (E) point cloud of skeletal landmarks from digitization; (F) B-spline solid shrinkwrapped to fit underlying skeletal landmarks (skeleton model); and (G) Skeleton model with B-spline solid expanded laterally to simulate added flesh (fleshed-out model). Not to scale. The right hip joint (pink and black disk; caudal) and CM (red and black disk; cranial) are shown for the models, with principal axes (arrows). A dotted curve outlines the acetabulum in the carcass and skeleton pictures.
Fig. 5. Tyrannosaurus MOR 555 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 5. Tyrannosaurus MOR 555 skeleton: (A) Photograph of mounted skeleton in Berkeley, California (in left lateral view); (B) Torso skeletal landmark points digitized for our study, plus digitized pelvis and leg bones from Hutchinson et al. (2005); and (C, D) additional cranial and caudal photographic views of the skeleton from A.
Fig. 3. A B in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 3. A B-spline solid can have its boundary surface tessellated into triangles of different resolution. The more triangles are used, the better the approximation of a smooth surface can be achieved. Ostrich trunk models from Table 1 shown with increasing number of triangles: in lateral view (from A to F) and in dorsal view (from G to L). The warped appearances of the models are not errors but reflect the complex 3D surface of the dissected ostrich carcass, and the difficulty of representing this surface with simpler geometry.
Fig. 6 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 6. Original Tyrannosaurus mass set (Model 1) in right lateral (A), dorsal (B), cranial (C), caudal (D), and oblique right craniolateral (E) views. Not to scale. The odd shape of the hip region in (B) represents the 15° adbuction of the thigh segment (see Section 2), which makes the thigh seem laterally-flared in dorsal view. This is also evident in the abducted positions of the lower legs and feet in C–E. It is not yet clear precisely how theropod dinosaur hindlimb joints (especially the hip and knee) brought the feet close to the body midline (e.g., Paul, 1988; Hutchinson et al., 2005), so our model was left with its feet in an abducted position (making it easiest to edit 3D leg dimensions), which had no important effects on our results.
Fig. 7 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 7. The six cavities embedded in Tyrannosaurus Model 1's head, neck, and trunk segments, shown in right lateral (A) and dorsal (B) views. 'bc' indicates the buccal cavity; and 'pc' indicates the pharyngeal cavity.
rPesca, a simplified R tool for estimating fish population parameters: The case of Micropogonias furnieri (Desmarest, 1823) in the Southwest Atlantic Ocean
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Fig. 9 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 9. Mass sets used for the Tyrannosaurus turning body analysis; shown for Models 1, 30, and 3.
ScienceDex guides
Understand access before you commit
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.