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559 results for “Track data”
Core-Alkynylated Fluorescent Flippers: Altered Ultrafast Photophysics to Track Thick Membranes: Original Data
<p>Original data</p>
Nanoresolution real-time 3D orbital tracking for studying mitochondrial trafficking in vertebrate axons in vivo - Data Set 5
<p>Supplementary videos including raw data</p>
Nanoresolution real-time 3D orbital tracking for studying mitochondrial trafficking in vertebrate axons in vivo - Data Set 4
<p>The data set was analyzed in supplementary figure 3.</p>
Nanoresolution real-time 3D orbital tracking for studying mitochondrial trafficking in vertebrate axons in vivo - Data Set 3
<p>The data set was analyzed in supplementary figure 2.</p>
Supporting data for: "Frequency-tagged visual evoked responses track syllable effects in visual word recognition"
<p>The dataset consists of the original 17 .bdf files.</p>
Attentional bias for physical activity: eye-tracking data
<p><strong>Dataset related to the paper entitled "Physically active individuals look for more: An eye tracking study of attentional bias". </strong></p> <p>This dataset includes:</p> <p>1) A workbook</p> <p>2) Raw data of the behavioral outcome (i.e., reaction times) of the visual dot probe task</p> <p>"dpt_sample1_27_05_2019.csv" for the sample 1.</p> <p>"dpt_sample2_27_05_2019.csv" for the sample 2.</p> <p>3) Raw data of the eye-tracking outcomes (i.e., Gaze Data)</p> <p>4) Self-reported data</p> <p>"data_all_SR.Rdata" for the sample 1</p> <p>"data_SR1_inhib.RData" for the sample 2</p> <p>4) R script for the data management of the raw RT</p> <p>"Data_management_DPT_RT.R". This script leads to the file "dpt_behavioral_both_sample.RData", which merges the behavioral data of both sample with the self-reported data.</p> <p>5) Raw data of the eye-tracking outcomes</p> <p>"Data_management_DPT_Gaze_13_06_2019". This script leads to the file "dpt_both_sample_EyeTrack.RData", which merge the gaze data of both sample with the self-reported data.</p> <p>6) R script for the models tested on the behavioral and eye-tracking outcomes</p> <p>"Models_zenodo"</p> <p>7) the visual dot probe task (e-prime script)</p> <p>"DPT_Eyetracker.7z". This file contains the e-prime script as well as the images used in the visual dot probe task</p>
Data and calculations associated with "Tracking cropland transitions: a comparative analysis of U.S. land cover change data"
Open the record for dataset details and reuse information.
Data from: Effects of tracking devices on individual birds – a review of the evidence
We review long-term patterns of tracking device use and the reporting of the effects of such devices on individual birds. We assessed >3,400 primary references including >1,500 containing information as to whether effects were looked for and reported. Numbers of papers published increased at 4.4% per year. Research on foraging and energetics focussed on seabirds while work on habitat use and dispersal was focussed mainly on landbirds. Migration was the most common study topic overall and increased markedly from the turn of the century in all three bird groups. The proportion of studies reporting effects of devices on individuals declined at > 1% per year, while the proportion of studies providing no information on effects increased by ca. 0.7% per year. The presence of a control group increased the likelihood of a study reporting effects, (45% vs 33%). We modelled the probability of reporting effects separately for three bird groups and two attachment durations. Occurrence of effects was significantly related to attachment method (4 models), year (4 models) and relative device mass (1 model). Invasive attachment methods were associated with a high incidence of effects while tail and leg attachments showed relatively few effects. Probabilities of reporting effects declined over time and increased with relative device mass, however there was no device mass threshold below which effects were not observed. Approaches designed to minimize potential effects of devices on individual birds and to improve scientific rigour have advanced substantially. Nevertheless ca. 55% of studies contained no information on potential effects and in many more documentation was inadequate. We call for more systematic documentation of potential effects in peer-reviewed publications to support more rigorous science and to further improve bird welfare.
Data from: Local fields in human subthalamic nucleus track the lead-up to impulsive choices
The ability to adaptively minimize not only motor but cognitive symptoms of neurological diseases, such as Parkinson's Disease (PD) and obsessive-compulsive disorder (OCD), is a primary goal of next-generation deep brain stimulation (DBS) devices. On the basis of studies demonstrating a link between beta-band synchronization and severity of motor symptoms in PD, the minimization of beta band activity has been proposed as a potential training target for closed-loop DBS. At present, no comparable signal is known for the impulsive side effects of PD, though multiple studies have implicated theta band activity within the subthalamic nucleus (STN), the site of DBS treatment, in processes of conflict monitoring and countermanding. Here, we address this challenge by recording from multiple independent channels within the STN in a self-paced decision task to test whether these signals carry information sufficient to predict stopping behavior on a trial-by-trial basis. As in previous studies, we found that local field potentials (LFPs) exhibited modulations preceding self-initiated movements, with power ramping across multiple frequencies during the deliberation period. In addition, signals showed phasic changes in power around the time of decision. However, a prospective model that attempted to use these signals to predict decision times showed effects of risk level did not improve with the addition of LFPs as regressors. These findings suggest information tracking the lead-up to impulsive choices is distributed across multiple frequency scales in STN, though current techniques may not possess sufficient signal-to-noise ratios to predict—and thus curb—impulsive behavior on a moment-to-moment basis.
Data from: Back-tracking during navigation shows enhanced anterior cingulate activity and suppression of alpha oscillations and 'default-mode' brain activity
Successful navigation can require realising the current path choice was a mistake and the best strategy is to retreat along the recent path: 'back-tracking'. Despite the wealth of studies on the neural correlates of navigation little is known about back-tracking. To explore the neural underpinnings of back-tracking we tested humans during functional magnetic resonance imaging (fMRI) on their ability to navigate to a set of goal locations in a virtual desert island riven by lava which constrained path that could be taken. We found that on a subset of trials, participants spontaneously chose to back-track and that the majority of these choices were optimal. During back-tracking, activity increased in frontal regions and the dorsal anterior cingulate cortex, while activity was suppressed in regions associated with the core default-mode network. Using the same task, magnetoencephalography (MEG) and a separate group of participants we found that power in the alpha band was significantly decreased immediately prior to such back-tracking events. These results highlight the importance for navigation of brain networks previously identified in processing internally-generated errors and that such error-detection responses may involve shifting the brain from default-mode states to aid successful spatial orientation.
Data from: Trajectory energy minimisation for cell growth tracking and genealogy analysis
Cell growth experiments with a microfluidic device produce large-scale time-lapse image data, which contain important information on cell growth and patterns in their genealogy. To extract such information, we propose a scheme to segment and track bacterial cells automatically. In contrast with most published approaches, which often split segmentation and tracking into two independent procedures, we focus on designing an algorithm that describes cell properties evolving between consecutive frames by feeding segmentation and tracking results from one frame to the next one. The cell boundaries are extracted by minimizing the distance regularized level set evolution (DRLSE) model. Each individual cell was identified and tracked by identifying cell septum and membrane as well as developing a trajectory energy minimization function along time-lapse series. Experiments show that by applying this scheme, cell growth and division can be measured automatically. The results show the efficiency of the approach when testing on different datasets while comparing with other existing algorithms. The proposed approach demonstrates great potential for large-scale bacterial cell growth analysis.
Data from: Perceptually relevant speech tracking in auditory and motor cortex reflects distinct linguistic features
During online speech processing, our brain tracks the acoustic fluctuations in speech at different timescales. Previous research has focused on generic timescales (for example, delta or theta bands) that are assumed to map onto linguistic features such as prosody or syllables. However, given the high intersubject variability in speaking patterns, such a generic association between the timescales of brain activity and speech properties can be ambiguous. Here, we analyse speech tracking in source-localised magnetoencephalographic data by directly focusing on timescales extracted from statistical regularities in our speech material. This revealed widespread significant tracking at the timescales of phrases (0.6–1.3 Hz), words (1.8–3 Hz), syllables (2.8–4.8 Hz), and phonemes (8–12.4 Hz). Importantly, when examining its perceptual relevance, we found stronger tracking for correctly comprehended trials in the left premotor (PM) cortex at the phrasal scale as well as in left middle temporal cortex at the word scale. Control analyses using generic bands confirmed that these effects were specific to the speech regularities in our stimuli. Furthermore, we found that the phase at the phrasal timescale coupled to power at beta frequency (13–30 Hz) in motor areas. This cross-frequency coupling presumably reflects top-down temporal prediction in ongoing speech perception. Together, our results reveal specific functional and perceptually relevant roles of distinct tracking and cross-frequency processes along the auditory–motor pathway.
Data from: Automated single particle detection and tracking for large microscopy datasets
Recent advances in optical microscopy have enabled the acquisition of very large datasets from living cells with unprecedented spatial and temporal resolutions. Our ability to process these datasets now plays an essential role in order to understand many biological processes. In this paper, we present an automated particle detection algorithm capable of operating in low signal-to-noise fluorescence microscopy environments and handling large datasets. When combined with our particle linking framework, it can provide hitherto intractable quantitative measurements describing the dynamics of large cohorts of cellular components from organelles to single molecules. We begin with validating the performance of our method on synthetic image data, and then extend the validation to include experiment images with ground truth. Finally, we apply the algorithm to two single-particle-tracking photo-activated localization microscopy biological datasets, acquired from living primary cells with very high temporal rates. Our analysis of the dynamics of very large cohorts of 10 000 s of membrane-associated protein molecules show that they behave as if caged in nanodomains. We show that the robustness and efficiency of our method provides a tool for the examination of single-molecule behaviour with unprecedented spatial detail and high acquisition rates.
Data from: Tracking changes in chromosomal arrangements and their genetic content during adaptation
There is considerable evidence for an adaptive role of inversions, but how their genetic content evolves and affects the subsequent evolution of chromosomal polymorphism remains controversial. Here, we track how life-history traits, chromosomal arrangements and 22 microsatellites, within and outside inversions, change in three replicated populations of Drosophila subobscura for 30 generations of laboratory evolution since founding from the wild. The dynamics of fitness-related traits indicated adaptation to the new environment concomitant with directional evolution of chromosomal polymorphism. Evidence of selective changes in frequency of inversions was obtained for seven of 23 chromosomal arrangements, corroborating a role for inversions in adaptation. The evolution of linkage disequilibrium between some microsatellites and chromosomes suggested that adaptive changes in arrangements involved changes in their genetic content. Several microsatellite alleles increased in frequency more than expected by drift in targeted inversions in all replicate populations. In particular, there were signs of selection in the O3+4 arrangement favouring a combination of alleles in two loci linked to the inversion and changing along with it, although the lack of linkage disequilibrium between these loci precludes epistatic selection. Seven other alleles increased in frequency within inversions more than expected by drift, but were not in linkage disequilibrium with them. Possibly these alleles were hitchhiking along with alleles under selection that were not specific to those inversions. Overall, the selection detected on the genetic content of inversions, despite limited coverage of the genome, suggests that genetic changes within inversions play an important role in adaptation.
Using synthetic data for person tracking under adverse weather conditions
<p>Robust visual tracking plays a vital role in many areas such as autonomous cars, surveillance and robotics. Recent trackers were shown to achieve adequate results under normal tracking scenarios with clear weather conditions, standard camera setups and lighting conditions. Yet, the performance of these trackers, whether they are correlation filter-based or learning-based, degrade under adverse weather conditions. The lack of videos with such weather conditions, in the available visual object tracking datasets, is the prime issue behind the low performance of the learning-based tracking algorithms. In this work, we provide a new person tracking dataset of real-world sequences (PTAW172Real) captured under foggy, rainy and snowy weather conditions to assess the performance of the current trackers. We also introduce a novel person tracking dataset of synthetic sequences (PTAW217Synth) procedurally generated by our NOVA framework spanning the same weather conditions in varying severity to mitigate the problem of data scarcity. Our experimental results demonstrate that the performances of the state-of-the-art deep trackers under adverse weather conditions can be boosted when the available real training sequences are complemented with our synthetically generated dataset during training.</p>
Figure 2 from: Stienen EWM, Desmet P, Aelterman B, Courtens W, Feys S, Vanermen N, Verstraete H, Van de walle M, Deneudt K, Hernandez F, Houthoofdt R, Vanhoorne B, Bouten W, Buijs RJ, Kavelaars MM, Müller W, Herman D, Matheve H, Sotillo A, Lens L (2016) GPS tracking data of Lesser Black-backed Gulls and Herring Gulls breeding at the southern North Sea coast. ZooKeys 555: 115-124. https://doi.org/10.3897/zookeys.555.6173
Figure 2 - Left: map of western Europe and northwest Africa, showing the full extent of the gull tracking data, including two migration/wintering seasons. Right: map of the southern North Sea coast, showing mainly breeding season data. Each point represents a recorded occurrence, LBBG are indicated in orange, HG in blue. Overlapping points are brighter in colour. Maps created with CartoDB, basemap based on OpenStreetMap data. https://inbo.cartodb.com/u/lifewatch/viz/da04f120-ea70-11e4-a3f2-0e853d047bba/public_map
Figure 1 from: Stienen EWM, Desmet P, Aelterman B, Courtens W, Feys S, Vanermen N, Verstraete H, Van de walle M, Deneudt K, Hernandez F, Houthoofdt R, Vanhoorne B, Bouten W, Buijs RJ, Kavelaars MM, Müller W, Herman D, Matheve H, Sotillo A, Lens L (2016) GPS tracking data of Lesser Black-backed Gulls and Herring Gulls breeding at the southern North Sea coast. ZooKeys 555: 115-124. https://doi.org/10.3897/zookeys.555.6173
Figure 1 - One of the tracked Lesser Black-backed Gulls ("Hans", ring code: L906682), photographed near its nest in Zeebrugge on May 29, 2013 shortly after he was equipped with a tracker (device info serial: 861). Photo by Misjel Decleer, VLIZ photo gallery.
Figure 3 from: Stienen EWM, Desmet P, Aelterman B, Courtens W, Feys S, Vanermen N, Verstraete H, Van de walle M, Deneudt K, Hernandez F, Houthoofdt R, Vanhoorne B, Bouten W, Buijs RJ, Kavelaars MM, Müller W, Herman D, Matheve H, Sotillo A, Lens L (2016) GPS tracking data of Lesser Black-backed Gulls and Herring Gulls breeding at the southern North Sea coast. ZooKeys 555: 115-124. https://doi.org/10.3897/zookeys.555.6173
Figure 3 - Researchers equipping a Herring Gull with a UvA-BiTS GPS tracker on the roof of the Vismijn in Ostend on May 24, 2013. Photo by Misjel Decleer, VLIZ photo gallery.
Particle tracking algorithm and additional data for "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)"
<p>This repository provides additional files for in the publication "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)" by Stefan Dittmar, Aki Sebastian Ruhl and Martin Jekel (DOI: <a href="https://www.doi.org/10.1021/acsestwater.3c00457">10.1021/acsestwater.3c00457</a>) </p><p>It contains:</p><p>- image processing routine for particle tracking written in Python (<strong>1_particle_tracking_algorithm.zip</strong>)<br>- single particle raw data from settling experiments (<strong>2_settling_data.zip</strong>)<br>- single particle data from appyling empirical model for interactions between settling particles (<strong>3_model_results_data.zip</strong>)<br>- additional video & animated graph referenced in publication or SI (<strong>4_videos.zip</strong>)</p>
Analysed data of GAL10-Gal4 burst tracking and analysis
<p>Analyzed data of GAL10-Gal4 burst tracking and analysis</p>
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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.