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20 results for “movement variability”
Dataset: Analysis of timing variability in human movements by aligning parameter curves in time
<p>Supplementary Data for <em><strong>Analysis of timing variability in human movements by aligning parameter curves in time</strong></em> article</p> <p>Dataset associated with the following publication:<br> Maurer, L. K., Maurer, H., & Müller, H. (2017). Analysis of timing variability in human movements by aligning parameter curves in time.</p> <p>-------------------------------------------------------------------------------</p> <p>The data files are structured in the following way:<br> (1) Basic subject information (age, sex) can be found in the file subject_data.txt (tabulator separated text file).</p> <p>(2) The folder parameter_curves contains the angle trajectories of all trials structured in blocks of 50 trials (sometimes less than 50 because of data cleaning procedures deleating corrupted data and trials in which participants released accidentally [with zero velocity]). Each participant performed five practice days with four blocks of 50 trials, i.e. 20 blocks. File names contain subject (1,...,14), day (1,...,5), and block (1,...,4) information. Within the tabulator separated text files each column contains the angle trajectory of one trial consisting of 1000 values (sampled with 1000 Hz). Index 600 is the moment when participants released the virtual ball.</p>
Periglacial ground movement and environmental variables in the Gaissane mountain massif, Northern Norway
<p>Dataset documenting ground movement and environmental conditions at 68'590 common pixels (40 m resolution).<br> Study area: ca. 148 sqkm area in the Gaissane mountain massif, County of Troms og Finnmark, Northern Norway (70°00'N, 26°14'E).<br> <br> Ground movement associated with cryoturbation and solifluction has been detected using a distributed scatterers Synthetic Aperture Radar Interferometry (InSAR) technique based on Sentinel-1 satellite images (2015-2018).<br> Two-dimensional information (vertical and horizontal in the East-West plane) has been retrieved by combining InSAR results from ascending and descending SAR geometries.<br> The results are expressed as mean annual ground velocities (mm/yr).<br> Seven environmental variables are documenting the climatic, geomorphic, hydrological and ecological conditions at similar locations.<br> The dataset was used to perform statistical modelling using generalized linear model, generalized additive model, generalized boosting method and random forest.</p>
Males miss and females forgo: auditory masking from vessel noise impairs foraging efficiency and success in killer whales - CALIBRATED MOVEMENT DATA AND VARIABLES SUPPORTING ANALYSES
<p><strong>Description of the data and file structure<br></strong>This record contains data from animal-borne biologging instruments (Dtags) temporarily affixed to fish-eating killer whales, supporting the analyses presented in the following article:</p> <p> Tennessen. J.B., Holt, M.M., Wright, B.M., Hanson, M.B., Emmons, C.K., Giles, D.A., Hogan, J.T., Thornton, S.J., Deecke, V.B. 2024. Males miss and females forgo: auditory masking from vessel noise impairs foraging efficiency and success in killer whales. <em>Global Change Biology</em>.<strong> </strong>In press.</p> <p>The data include the following: (1) calibrated movement data from analyzed Dtag deployments, and (2) a spreadsheet containing the variables included in the fully-saturated and final models listed in Table 2 in the article cited above. All methodological details necessary to contextualize analysis procedures are provided in the methods section of the article. The following data files are available under separate DOIs: 10.5281/zenodo.13333019 - all 2009 & 2010 audio data; 10.5281/zenodo.13328931 - all 2011 & 2014 audio data.</p> <p>These data are provided by NOAA Fisheries' Northwest Fisheries Science Center, and Fisheries and Oceans Canada, to support reproducibility of all statistical analyses presented in the article. Please cite your usage of our data. For inquiries about data use, or for general questions, please contact Dr. Jennifer B. Tennessen, at jtenness@uw.edu.</p> <p> </p> <p><strong>Description of the movement data files<br></strong>The movement files have been calibrated from the raw data and are ready to use. The files contain the .mat extension, and need to be opened using Matlab and the tagtools tool kit available at https://github.com/animaltags . Tutorials for working with the toolkit are available at animaltags.org . These files contain several vector and matrix variables. We define those used in our analyses below. For questions about how to work with these files, please contact Dr. Jennifer B. Tennessen, at jtenness@uw.edu.</p> <p>Aw: calibrated triaxial accelerometer data (converted from tag frame to whale frame)</p> <p>fs: sample rate (50 Hz)</p> <p>head: animal's circular heading (rotation about the dorsal-ventral axis, in radians)</p> <p>Mw: calibrated triaxial magnetometer data (converted from tag frame to whale frame)</p> <p>p: depth (in meters)</p> <p>pitch: animal's pitch (rotation about the left-right axis, in radians)</p> <p>roll: animal's roll (rotation about the anterior-posterior axis, in radians)</p> <p>tempr: temperature recorded on tag (in Celsius)</p> <p>TT: time cues for the start and end of every analyzed dive within a deployment. This matrix contains 6 columns:<br>-col 1: start cue (in sec)<br>-col 2: end cue (in sec)<br>-col 3: maximum depth of dive (m)<br>-col 4: time cue at max depth (in sec)<br>-col 5: mean depth (m)<br>-col 6: mean compression</p> <p> </p> <p><strong>Description of the analyzed variables<br></strong>The data are provided column-wise in a spreadsheet, whereby each column contains one of several variables used to build the corresponding models listed in Table 2 in the above article. Model details are provided in the above article, including the statistical packages needed to run the models. </p> <p><em>The following is a list of variable names (column headers) and their corresponding definitions:<br></em><strong>bzsounds:</strong> binary presence (1)/absence (0) of buzz bouts within a dive. Buzzing is defined as the occurrence of echolocation clicks with an inter-click interval < 11 ms<br><strong>code:</strong> categorical identifier of the numerical week of year in which the tag was deployed (e.g., week 33 of 2009 is different than week 33 of 2011)<br><strong>deployment:</strong> the event whereby a tag was affixed to an individual killer whale and data were collected via tag sensors; each deployment was assigned a unique deployment ID, consisting of the first letter of the Genus and species names (“oo” for Orcinus orca), followed by two digits corresponding to the year (“09” = 2009), followed by the Julian day of the year (e.g. “234”), followed by a letter indicating the deployment order of the day. NRKW deployments were assigned a through l, and SRKW deployments were assigned m through z (e.g. “a” = first deployment of the day for NRKW, “m” = first deployment of the day for SRKW)<br><strong>durwho: </strong>duration of a whole dive, in seconds. Dives were defined as all departures from the surface, to at least 1 m or deeper, followed by a return to within 0.5 m of the surface<br><strong>divenum: c</strong>hronological identifier for dive position within a deployment (e.g., for the 10<sup>th</sup> dive within a deployment, divenum = 10)<br><strong>kindet: </strong>binary presence (1)/absence (0) of a prey capture event within a dive. Prey capture was informed by the occurrence of stereotyped movement signatures in sensor data indicative of prey capture, following an established method validated with visual and acoustic confirmation of predation events. Prey capture is defined as the occurrence of three movement variables indicative of prey capture (peak jerk, roll and heading variance) each exceeding pre-determined thresholds (see Tennessen et al. 2019b in above article for details)<br><strong>maxdep:</strong> maximum depth of a dive, in meters<br><strong>NLmax: </strong>the maximum noise level received during a dive, measured as the root-mean-square sound pressure level (dB re 1 mPa) within one second bins over the 15-45 kHz frequency band<br><strong>population:</strong> population to which the tagged whale belongs (NRKW = Northern Resident killer whale; SRKW = Southern Resident killer whale)<br><strong>sex:</strong> sex of tagged whale (F = female, M = male, NA = unknown)<br><strong>sc:</strong> binary presence (1)/absence (0) of slow-click sounds within a dive. Slow-clicking is defined as the occurrence of echolocation clicks with an inter-click interval >100 ms<br><strong>tagID:</strong> identifier for the individual tag used for each deployment<br><strong>year:</strong> year of deployment</p>
Data from: Variability in the movement and foraging behaviour of female Eurasian lynx during the denning season across Europe
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Consistent inter-individual variability in movement traits shapes the wild boar movement syndrome
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Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925). in Muridae
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925).
Dispersal without drivers: Intrinsic and extrinsic variables have no impact on movement distances in a terrestrial amphibian
<p>Dispersive movements are often thought to be multicausal and driven by individual body size, sex, conspecific density, environmental variation, personality and/or other variables. Yet such variables often do not account for most of the variation among dispersive movements in nature, leaving open the possibility that dispersion may be indeterministic. We assessed the amount of variation in 24 h movement distances that could be accounted for by potential drivers of displacement with a large empirical dataset of movement distances performed by Fowler's Toads (<em>Anaxyrus fowleri</em>) on the northern shore of Lake Erie at Long Point, Ontario (2002–2021, incl.). These toads are easy to sample repeatedly, can be identified individually and move parallel to the shoreline as they forage at night, potentially dispersing to new refuge sites. Using a linear mixed-effect model that incorporated random effect terms to account for sampling variance and inter-annual variation, we found that all potential intrinsic and extrinsic drivers of movement accounted for virtually none of the variation observed among 24 h distances moved by these animals, whether over short or large spatial scales. We examined the idea of movement personality by testing variance per individual toad and found no evidence of individuality in movement distances. We conclude that deterministic variables, whether intrinsic or extrinsic, neither can be shown to nor are necessary to drive movements in this population over all spatial scales. Stochastic, short-timescale movements, such as daily foraging movements, can instead accumulate over time to produce large spatial-scale movements that are dispersive in nature.</p>
24-hour movement behaviors regarding different accelerometer metrics and cardiometabolic variables of Belgian adults
<p>Datase of 213 adults with 24-hour movement behaviors features and cardiometabolic health variables</p> <p>Sociodemographic information</p> <ul> <li>age</li> <li>sex </li> <li>educational level</li> <li>smoking status</li> <li>pathology (having T2DM or not)</li> </ul> <p>Cardiometabolic variables </p> <ul> <li>BMI</li> <li>Waist circumference</li> <li>waist to hip ratio</li> <li>Fat percentage</li> <li>glucose</li> <li>HbA1c</li> <li>HDL-cholesterol</li> <li>LDL-cholesterol</li> <li>Total cholesterol</li> <li>Triglycerides</li> <li>Systolic Blood pressure</li> <li>Diastolic blood pressure</li> </ul> <p>24-hour movement behaviors (Actigraph GT3X+):</p> <ul> <li>Cut-point dependent time usse estimates for sleep, sedentary behavior, light phyiscal activity, moderate to vigorous physical activity</li> <li>Cut-point independent average acceleration</li> <li>Cut-point independent intensity gradient</li> <li>These cut-off points are available for ENMO, MAD, CMP VA (neish) and CMP VM metric (sasaki) as mentioned in the paper</li> </ul> <p>For more information please contact willems.iris@ugent.be</p>
Variability of Movement on an Altered Inertial Dynamics Task
ClinicalTrials.gov study NCT04505527. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Studies of the Variable Phenotypic Presentations of Rapid-Onset Dystonia Parkinsonism and Other Movement Disorders
ClinicalTrials.gov study NCT00682513. IPD Sharing: NO. Countries: 1. Publications: 2.
Dispersal without drivers: Intrinsic and extrinsic variables have no impact on movement distances in a terrestrial amphibian
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Variability and Specificity in Reactive Stabilization Movements to Diverse Slip Perturbations
ClinicalTrials.gov study NCT03755336. IPD Sharing: NO. Countries: 1. Publications: 0.
Movements of the Thermocline lead to high variability in benthic mixing in the nearshore of a large lake
<p>2013 data</p>
Clinical Variables and Dyspnea and Fear of Movement in Chronic Obstructive Pulmonary Patients
ClinicalTrials.gov study NCT06442059. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Effectiveness of a 12-week Movement Intervention on Heart Rate Variability and Self-compassion Among New Mothers
ClinicalTrials.gov study NCT05403983. IPD Sharing: NO. Countries: 1. Publications: 0.
Maternal Perception of Fetal Movements Evaluation Using and Analyzing the Variables of Antepartum Computerized Cardiotocography: An Exploratory Study.
ClinicalTrials.gov study NCT04397874. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of Influencing Variables in Awakening Concentration and Concentration at Body Movements of Propofol TCI (Targeted Controlled Infusion) Targeted at the Effector Site
ClinicalTrials.gov study NCT04129112. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Cardiovascular Variability, Heart Rate Response, and Electromyogram Power Associated With Periodic Leg Movements.
ClinicalTrials.gov study NCT03076541. IPD Sharing: NO. Countries: 1. Publications: 0.
Massage and Cold Water Immersion on Movement Variability After Fatigue in Swimmers
ClinicalTrials.gov study NCT04541901. IPD Sharing: NO. Countries: 1. Publications: 0.
Recording Heart Rate Variability During Eye Movement Desensitisation Reprocessing With or Without Eye Movement
ClinicalTrials.gov study NCT02565563. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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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.