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2,587 results for “Movement”
Fig. 1 in Taxonomic groups with lower movement capacity may present higher beta diversity
Fig. 1. Location of the 16 fragments sampled in Minas Gerais, Brazil (LOCALITY, municipality): AIU, Aiuruoca; BOC, Bocaina de Minas; CAM, Camanducaia; CAX, Caxambu; DEL, Delfim Moreira; EXT, Extrema; GUA, GuaxupÉ; MAR, Maria da FÉ; MON, Monte Belo; MVE, Monte Verde; PAS, Passa Quatro; POÇ, Poços de Caldas; POU, Pouso Alegre; SGS, SÃo Gonçalo do SapucaÍ; SRJ, Santa Rita de Jacutinga and VIR, VirgÍnia.
Determining aligner-induced tooth movements in three dimensions using clinical data of two patients: datasets
<h2>Abstract</h2> <p>The effectiveness of a series of optically transparent aligners for orthodontic treatments depends on the anchoring of each tooth. In contrast with the roots, the crowns’ positions and orientations are measurable with intraoral scans, thus avoiding any X-ray dose. Exemplified by two patients, we demonstrate that three-dimensional crown movements could be determined with micrometer precision by registering weekly intraoral scans. The data show the movement and orientation changes in the individual crowns of the upper and lower jaws as a result of the forces generated by the series of aligners. During the first weeks, the canines and incisors were more affected than the premolars and molars. We detected overall tooth movement of up to about 1 mm during a nine-week active treatment. The data on these orthodontic treatments indicate the extent to which actual tooth movement lags behind the treatment plan, as represented by the aligner shapes. The proposed procedure can not only be used to quantify the clinical outcome of the therapy, but also to improve future planning of orthodontic treatments for each specific patient. This study should be treated with caution because only two cases were investigated, and the approach should be applied to a reasonably large cohort to reach strong conclusions regarding the efficiency and efficacy of this therapeutic approach.</p> <h2>Data</h2> <p>The repository contains the data of the intraoral scans and all data where manual interactions were performed to allow reproducing the results. </p> <p>The directory and file names are as follows:</p> <table> <tbody> <tr> <td><strong>Name</strong></td> <td><strong>Level, type<br></strong></td> <td><strong>Description</strong></td> </tr> <tr> <td><em>p</em>_Clinical_Trial</td> <td>1st, directory</td> <td>Patient <em>p</em>: <em>p</em>=3485 stands for patient A, <em>p</em>=6457 stands for patient B</td> </tr> <tr> <td>Bottmedical</td> <td>2nd, directory</td> <td>Planning data</td> </tr> <tr> <td>Sirona</td> <td>2nd, directory</td> <td>Intraoral scan data</td> </tr> <tr> <td>T<em>n</em></td> <td>3rd, directory</td> <td>Time step <em>n</em> for <em>n</em>=0: before treatment, <em>n</em>=1-9: after 1-9 weeks of treatment; <em>n</em>=10: end of treatment</td> </tr> <tr> <td>Lower_Aligner_<em>n</em>_cut1.stl</td> <td>4th, file</td> <td>Manually cut surface mesh of planned data, lower jaw for time step <em>n</em></td> </tr> <tr> <td>Upper_Aligner_<em>n</em>_cut1.stl</td> <td>4th, file</td> <td>Manually cut surface mesh of planned data, upper jaw for time step <em>n</em></td> </tr> <tr> <td><em>p</em>_OnyxCeph3_Export_<em>j</em>_cut1.stl</td> <td>4th, file</td> <td>Manually cut surface mesh from intraoral scan, for lower (<em>j</em>=UK) or upper (<em>j</em>=OK) jaw</td> </tr> <tr> <td><em>p</em>_OnyxCeph3_Export_<em>j</em>.stl</td> <td>4th, file</td> <td>Original surface mesh from intraoral scan, for lower (<em>j</em>=UK) or upper (<em>j</em>=OK) jaw</td> </tr> <tr> <td>teethSeg</td> <td>4th, directory</td> <td>Segmented crowns via OnyxCeph3 TM</td> </tr> <tr> <td>teethSeg_noSnap_TolS</td> <td>4th, directory</td> <td>Transferred crown segmentations and occlusion plane points</td> </tr> <tr> <td><em>p</em>_Z<em>i</em>.stl</td> <td>5th, file</td> <td> <p>Surface mesh of crown segmentation for tooth number <em>i </em>of patient<em> p<br></em></p> </td> </tr> <tr> <td><em>p</em>_<em>j</em>.stl</td> <td>5th, file</td> <td> <p>Surface mesh of all crown segmentations for lower (<em>j</em>=UK) or upper (<em>j</em>=OK) jaw of patient <em>p</em></p> </td> </tr> <tr> <td><em>p</em>_<em>j</em>_occPlane.mat</td> <td>5th, file</td> <td> <p>Binary Matlab file of saved variable occPlane, which defines transferred occlusion plane points for lower (<em>j</em>=UK) or upper (<em>j</em>=OK) jaw of patient <em>p</em></p> </td> </tr> </tbody> </table> <p>File formats:</p> <p>stl files describe an unstructured triangulates surface by vertices and triangles. These files can be read by the open source software freecad or the MATLAB function stlread.</p> <p>mat files are MATLAB files and can be read via MATLAB function load.</p>
Demonstrations for imitation learning for the paper "Fitting parameters of linear dynamical systems to regularize forcing terms in Dynamical Movement Primitives"
<p>Demonstrations for the coathanger experiment in the paper "Fitting parameters of linear dynamical systems to regularize forcing terms in Dynamical Movement Primitives". https://elib.dlr.de/205110/</p>
New Zealand Vertical land movement and sea rise projections
<p><strong>UPDATE from version v3: This update corrects a missing scenario (SSP3-7.0) with no VLM from the SLR projections tables. It also includes updated 0 entries for 2005 for both the VLM and noVLM projections.<br></strong></p> <p> </p> <p>This dataset provides the estimated vertical land movement around the New Zealand coast and associated sea rise projections described by Naish et al., 2024: </p> <p>Naish, T. et al. (2024) The significance of vertical land movements at convergent plate boundaries in probabilistic sea-level projections for AR6 scenarios: the New Zealand case. <em>Earth's Future</em></p> <p><em>README:</em></p> <p><strong>NZ SeaRise Data Description</strong></p> <p> </p> <p>This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0). Users can download two data sets for selected sites: (1) Site details and (2) Sea level projections. A brief description of these data is included below.</p> <p>1. Site Details</p> <p>Provides location data and estimates of vertical land movement for each site.</p> <p>For the VLM file:</p> <p>id = site location</p> <p>Lon = longitude</p> <p>Lat = latitude</p> <p>Vertical Rate = average annual vertical velocity in mm/yr</p> <p>Vertical Rate BOP corrected (mm/yr) = average annual vertical velocity in mm/yr with a correction for a movement (see Hamling et al., 2016, Hamling et al., 2022) for details. <strong>NOTE: These are the vertical rates used for the sea level projections.</strong></p> <p>1-sigma uncertainty = Error estimate for vertical velocity in mm/yr</p> <p>Number of obs = Number of individual scatterers and/or GNSS used to estimate the vertical rate.</p> <p>QF = Quality factor for vertical velocity estimates of the land surface derived from InSAR data averaged for 2 km-spaced sites (1=good, 5=poor). This factor considers the number of observations available for each coastal location, the radial distance used to bin the observations and the distance to the nearest GNSS station. After selecting the optimal search radius, a distance weighted mean is calculated for of all the points with additional weight given to any available GNSS observations.</p> <p>Average distance between coastal point and observations =Average distance (in km) of all the points used to estimate the vertical rate from the coastal site indicated by the ID an lon, lat values.</p> <p>2. Sea level projections tables</p> <p>Provides sea level projections data for each site. Table ‘NZSeaRise_proj_novlm.csv’ provides projections without estimates of local VLM and table ‘NZSeaRise_proj_vlm.csv’ provides projections that include estimates of local VLM.</p> <p>Example download table:</p> <p> </p> <p>Confidence = identifies low or medium confidence projection</p> <p>siteId = site location</p> <p>year = Projection year (Common Era)</p> <p>0.17 = 17th percentile value</p> <p>0.50 = 50th percentile (mean) value</p> <p>0.83 = 83rd percentile value</p> <p>SSP ǀ scenario = Shared Socio-economic Pathway and relevant change in forcing at 2100 in W m<sup>2</sup></p> <p> </p> <p> </p>
Dataset about An Exploratory Framework of Land-Sea Movement Model for Early Austronesians Migration
<p>Dataset about An Exploratory Framework of Land-Sea Movement Model for Early Austronesians Migration https://zenodo.org/records/14997527</p>
Sex-specific trunk movement coordination in participants with low-back pain and asymptomatic controls
<p>This is the data set and the code used for our publication. </p>
Fig. 1 in Individual Movement Of Large Carabids As A Link For Activity Density Patterns In Various Forestry Treatments
Fig. 1. Mean activity density of Carabus scheidleri (a) and C. coriaceus (b) per sampling plot in different for- estry treatments (C = control, CC = clear-cutting, P = preparation cut- ting) between 2014 and 2018. Verti- cal lines represent a 95% confidence interval and capital letters above bars indicate significant differences based on Tukey's multiple compari- sons of means
Fig. 2 in Individual Movement Of Large Carabids As A Link For Activity Density Patterns In Various Forestry Treatments
Fig. 2. Movements of Carabus scheidleri (a) within and between forestry treatments (C = control, CC = clear-cutting, P = preparation cutting) based on CMR. The number next to the arrow corresponds with the number of recorded movements. Individual trajectories of radio-tracked C. coriaceus (b) in the experimental area, black dots represent the first release point for each trajectory
Landscape composition and life-history traits influence bat movement and space use: analysis of 30 years of published telemetry data
<p>Using temperate bats, a group of particular conservation concern, we investigated how morphological traits, habitat specialization and environmental variables affect home range sizes and daily foraging movements, using a compilation of 30 years of published bat telemetry data in Northern America and Europe for the period 1988 – 2016.</p> <p>We compiled data on home range size and mean daily distance between roosts and foraging areas at both colony and individual levels from 166 studies of 3,129 radiotracked individuals of 49 bat species. We calculated multi-scale habitat composition and configuration in the surrounding landscapes of all studied roosts. Using mixed models, we examined the effects of habitat availability and spatial arrangement on bat movements, while accounting for body mass, aspect ratio, wing loading and habitat specialization.</p> <p>We found a significant effect of landscape composition on home range size and mean daily distance at both colony and individual levels. On average, home ranges were up to 42% smaller in the most habitat-diversified landscapes while mean daily distances were up to 30% shorter in the most forested landscapes. Bat home range size significantly increased with body mass, wing aspect ratio and wing loading, and decreased with habitat specialization.</p>
Red king crab movements and seawater temperatures in Gamvikfjorden, Norway, 2016
<p>Data coverage</p> <p>- Temporal: `2016-05-24Z/2016-11-01Z`<br> - Geographic: `[23.220918,70.774797,-61,23.295197,70.815582,-9]`<br> - Taxonomic: `Paralithodes camtschaticus (Tilesius, 1815)`</p>
Cortico-subcortical β burst dynamics underlying movement cancellation in humans
<p>Dominant neuroanatomical models hold that humans regulate their movements via loop-like cortico-subcortical networks, including the subthalamic nucleus (STN), thalamus, and sensorimotor cortices (SMC). Inhibitory commands across these networks are purportedly sent via transient, burst-like signals in the β frequency (15-29Hz). However, since human depth-recording studies are typically limited to one recording site, direct evidence for this proposition is hitherto lacking. Here, we present simultaneous multi-site depth-recordings from SMC and either STN or thalamus in humans performing the stop-signal task. In line with their purported function as inhibitory signals, subcortical β-bursts were increased on successful stop-trials and were followed within 50ms by increased β-bursting over SMC. Moreover, between-site comparisons (including in a patient with simultaneous recordings from all three sites) confirmed that β-bursts in STN precede thalamic β-bursts. This provides first empirical evidence for the role of β-bursts in conveying inhibitory commands along long-proposed cortico-subcortical networks underlying movement regulation in humans.</p>
Raw data of: "Controlling Hand Movements Relying on Tactile Illusions: A Model Predictive Control Framework"
<p>in Fig4_a.txt: raw the data for the plot of Fig4_a (x and y of the first simulated trajectory from trajectory 1 to 50)</p> <p>in Fig4_b.txt: raw the data for the plot of Fig4_b </p> <p>in Fig4_c.txt raw the data for the plot of Fig4_b. Each column corresponds to the optimal angle of the plate for each of the 50 trajectories simulated in Fig4_a</p>
Photographs of parasites encapsulated in Cepaea nemoralis shells (appendix to the paper "Morph-dependent effect of nematode infection on host movement in the land snail *Cepaea nemoralis* (Mollusca, Gastropoda)")
<p>A set of four photographs taken of shell fragments of Cepaea nemoralis (grove snail), taken in the course of the project leading to the manuscript titled: "Morph-dependent effect of nematode infection on host movement in the land snail *Cepaea nemoralis* (Mollusca, Gastropoda)". Each photograph shows a parasite encapsulated/trapped in the shell by the snail:</p> <p>AcaRX3_3.tif: a mite (presumably Riccardoella sp.)<br> NemaBX7_1.tif, NemaBX7_3.tif, NemaRK5_2.tif: unidentified nematodes (note in the latter image, the clearly visible brown-band on yellow background pattern of the shell).</p> <p>A scale bar (0.25 mm) is overlaid on each image</p> <p> </p>
IoT nodes movement and job requests
<p>This dataset contains information about the movements of IoT nodes in an urban area with a 22KM x 8 KM dimension. The workload that is created by these nodes is originated from the requests submitted by these IoT nodes. Every event is logged with a timestamp along with other required information. Dataset files are in CSV format.</p>
Alien insect dispersal mediated by the global movement of commodities
<p>Globalization and economic growth are recognized as key drivers of biological invasions. Alien species have become a feature of almost every biological community worldwide, and rates of new introductions continue to rise as the movement of people and goods accelerates. Insects are among the most numerous and problematic alien organisms, and are mainly introduced unintentionally with imported cargo or arriving passengers. However, the processes occurring prior to insect introductions remain poorly understood. We used a unique dataset of 1,902,392 border interception records from inspections at air, land and maritime ports in Australia, New Zealand, Europe, Japan, the United States of America and Canada to identify key commodities associated with insect movement through trade and travel. A total of 8,939 species were intercepted, and commodity association data were available for 1,242 species recorded between 1960 and 2019. We used rarefaction and extrapolation methods to estimate the total species richness and diversity associated with different commodity types. Plant and wood products were the main commodities associated with insect movement across cargo, passenger baggage and international mail. Furthermore, certain species were mainly associated with specific commodities within these, and other broad categories. More closely related species tended to share similar commodity associations, but this occurred largely at the genus level rather than within orders or families. These similarities within genera can potentially inform pathway management of new alien species. Combining interception records across regions provides a unique window into the unintentional movement of insects, and provides valuable information on establishment risks associated with different commodity types and pathways.</p>
The challenge of being slow: Effects of tempo, laterality, and experience on dance movement consistency
<p>Data set for the study published in Journal of Motor Behavior.</p>
Three-dimensional movement of the beak during seed processing in domestic canaries
<p>Many songbird species rely on seeds as a primary food source and the process of picking up, positioning, cracking, dehusking, and swallowing seeds is one of the most sophisticated tasks of the beak. Still, we lack understanding about how granivorous songbirds move their beak during the different phases of seed processing. In this study, we used multi-view high speed imaging to analyze the three-dimensional movement of the beak in feeding domestic canaries. Our analysis focuses on correlation of upper and lower beak, frequency of mandibulation, and direction of mandible movement in 3D space. We show that the correlation of maxilla and mandible movement differs among the phases of seed processing. Furthermore, we found that the beak moves at extremely high frequencies, up to 25 Hz, which resembles previously reported maximal syllable rates in singing canaries. Finally, we report that canaries use specific 3D mandible movements during the different phases of seed processing. Kinematic parameters do not differ between male and female canaries. Our findings provide an important biomechanical basis for better understanding the beak as a functional tool.</p>
Promotion of Circum-Pacific Earthquakes on Plate Movement-data
<p>data S1. The steady-state deformation data supporting Figure 1(a).</p> <p>The first and second columns show the location of point (longitude and latitude). The third, fourth, and fifth columns show the displacement induced by 2011 Tohoku-Oki Mw 9.0 earthquake (east-west, north-south, and up-down components in m). The sixth, seventh, and eighth columns show the displacement induced by 2010 Chile Mw 8.8 earthquake (east-west, north-south, and up-down components in m).</p> <p>data S2. Expansion of normal direction in the East Pacific Rise supporting Figure 1(b).</p> <p>The first and second columns show the location of point (longitude and latitude). The third and fourth columns show the displacement induced by 2011 Tohoku-Oki Mw 9.0 earthquake (the angle from east and the magnitude of displacement vector in m). The fifth and sixth columns show the displacement induced by 2010 Chile Mw 8.8 earthquake (the angle from east and the magnitude of displacement vector in m).</p> <p>data S3. Steady-state strain field supporting Figure 1(c).</p> <p>The first and second columns show the location of point (longitude and latitude). The third, fourth and fifth columns show the strain changes induced by two earthquakes (east-west, north-south, and shear components).</p> <p>data S4. The co-seismic and post-seismic displacement data supporting Figure 2.</p> <p>The first and second columns show the location of point (longitude and latitude), and the third column show the epicenter distance. The co-seismic and post-seismic displacement induced by 2011 Tohoku-Oki Mw 9.0 earthquake in the fourth column to the ninth column at different times (0, 10yr, 100yr, 1000yr,10000yr, and infinity in m).</p>
Cytoplasmic components of the machinery mediating telomere-led rapid chromosome movements in mouse meiosis
<p>Telomere-led rapid chromosome movements (RPMs) are a prominent characteristic of chromosome dynamics during meiosis. Although of crucial importance in maintaining germ cell integrity, the extranuclear portion of the machinery supporting RPMs in mammals is poorly understood. Using an unbiased proteomic approach to identify motor proteins associated to microtubules in mouse meiotic cells, complemented with co-immunoprecipitation confirmation, we uncovered kinesins as candidate of the machinery mediating RPMs in mouse spermatocytes. Further biochemical, microscopy, and functional analysis shows that KIF5B and KIF2B interact with KASH5 and act as motor proteins mediating the LINC complex-microtubule interactions. Our results show that member of the kinesin family of molecular motors act as novel critical modules of the machinery promoting complex dynamic chromosomes in mammals.</p>
Limited movement of an avian hybrid zone in relation to regional variation in magnitude of climate change
<p>Studies of natural hybrid zones can provide documentation of range shifts in response to climate change and identify loci important to reproductive isolation. Using a temporal (36–38 years) comparison of the black-capped (<em>Poecile atricapillus</em>) and Carolina (<em>P. carolinensis</em>) chickadee hybrid zone, we investigated movement of the western portion of the zone (western Missouri) and assessed whether loci and pathways underpinning reproductive isolation were similar to those in the eastern portion of the hybrid zone. Using 92 birds sampled along the hybrid zone transect in 2016 and 68 birds sampled between 1978 and 1980, we generated 11,669 SNPs via ddRADseq. These SNPs were used to assess movement of the hybrid zone through time and to evaluate variation in introgression among loci. We demonstrate that the interface has moved ~5 km to the northwest over the last 36–38 years, i.e., at only one-fifth the rate at which the eastern portion (e.g., Pennsylvania, Ohio) of the hybrid zone has moved. Temperature trends over the last 38 years reveal that eastern areas have warmed 50% more than western areas in terms of annual mean temperature, possibly providing an explanation for the slower movement of the hybrid zone in Missouri. Our results suggest hybrid zone movement in broadly distributed species, such as chickadees, will vary between areas in response to local differences in the impacts of climate change.</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.