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89 results for “Kinematic data”

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dryad32/100

Kinematic and morphological data from: Trophic guilds of suction-feeding fish are distinguished by their characteristic hydrodynamics of swimming and feeding

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publicJan 2022View details →
dryad32/100

Data from: Encoding of locomotion kinematics in the mouse cerebellum

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publicSep 2019View details →
dryad32/100

Data from: Glenohumeral joint kinematics following clavicular fracture and repairs

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publicOct 2017View details →
dryad32/100

Data from: There is no general model for occlusal kinematics in conodonts

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publicMar 2015View details →
dryad32/100

Data from: A 2.6‐g sound and movement tag for studying the acoustic scene and kinematics of echolocating bats

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publicOct 2018View details →
zenodo28/100

Data from "Large-scale CO spirals and complex kinematics associated with the T Tauri star RU Lup"

<p>Image cubes, self-calibrated visibilities, and self-calibration and imaging scripts for data from Huang et al., 2020, &quot;Large-scale CO spirals and complex kinematics associated with the T Tauri star RU Lup,&quot; ApJ, 898, 140&nbsp;(arXiv:2007.02974)&nbsp;</p> <p>The raw ALMA data can be found at the ALMA archive under program ID 2018.1.01201.S (PI: Jane Huang).</p> <p><strong>Scripts:</strong></p> <p>selfcal_C43-5.py, selfcal_C43-2.py, selfcal_ACA.py: self-calibration scripts for observation of RU Lup in various ALMA configurations</p> <p>imaging.py: imaging script used for all lines</p> <p>reductionutils.py can be downloaded from&nbsp;<a href="https://zenodo.org/record/3628656">https://zenodo.org/record/3628656</a></p> <p><strong>Measurement sets:</strong></p> <p>RULupcontinuum.ms.tgz: Continuum visibilities for &quot;RULupallcontinuum.image.pbcor.fits&quot; (the high-resolution ALMA continuum data can be found on the <a href="https://bulk.cv.nrao.edu/almadata/lp/DSHARP/">DSHARP</a> page)</p> <p>RULup_12CO.ms.contsub.tgz: Continuum-subtracted visibilities for the <sup>12</sup>CO J=2-1 line toward RU Lup</p> <p>RULup_12CO_nocontsub.ms.tgz: Visibilities for the <sup>12</sup>CO J=2-1 line (no continuum subtraction) toward RU Lup, used to make the &#39;RULup_12COpeakintensity.fits&#39; file.</p> <p>RULup_13CO.ms.contsub.tgz: Continuum-subtracted visibilities for the <sup>13</sup>CO J=2-1 line toward RU Lup</p> <p>RULup_C18O.ms.contsub.tgz: Continuum-subtracted visibilities for the C<sup>18</sup>O J=2-1 line toward RU Lup</p> <p>RULup_DCOp.ms.contsub.tgz: Continuum-subtracted visibilities for the&nbsp; DCO<sup>+</sup> J=3-2 line toward RU Lup</p> <p><strong>Images: </strong></p> <p>RULup12CO.1sigcut.pbcor.mom0.fits: Integrated intensity map of <sup>12</sup>CO J=2-1 appearing in Fig. 1</p> <p>RULup12CO.pbcor.mom1.fits: <sup>12</sup>CO J=2-1 intensity-weighted velocity map appearing in Fig. 1</p> <p>RULup13CO.pbcor.mom0.fits: Integrated intensity map of <sup>13</sup>CO J=2-1 appearing in Fig. 1</p> <p>RULup13CO.pbcor.mom1.fits: <sup>13</sup>CO J=2-1 intensity-weighted velocity map appearing in Fig. 1</p> <p>RULupC18O.pbcor.mom0.fits: Integrated intensity map of C<sup>18</sup>O J=2-1 appearing in Fig. 1</p> <p>RULupC18O.pbcor.mom1.fits: C<sup>18</sup>O J=2-1 intensity-weighted velocity map appearing in Fig. 1</p> <p>RULup12CO.image.pbcor.fits: <sup>12</sup>CO J=2-1 image cube appearing in Fig. 2</p> <p>RULupC18O.image.pbcor.fits: C<sup>18</sup>O J=2-1 image cube appearing in Fig. 2</p> <p>RULup13CO.image.pbcor.fits: <sup>12</sup>CO J=2-1 image cube appearing in Fig. 3</p> <p>RULup_12COpeakintensity.fits: Peak intensity image of <sup>12</sup>CO used to make Figure 4</p> <p>RULupDCOp.pbcor.mom0.fits: Integrated intensity map of DCO<sup>+</sup> J=3-2 appearing in Fig. 10</p> <p>RULupDCOp.image.pbcor.fits: DCO<sup>+</sup> J=3-2 image cube appearing in Fig. 11</p> <p>RULupallcontinuum.image.pbcor.fits: Continuum image appearing in Fig. 12</p> <p>RULup12COinitial.mask.image.fits: <sup>12</sup>CO CLEAN mask shown in Fig. 13</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2020View details →
zenodo28/100

Relativistic Kinematics of a Magnetic Soliton: Manuscript Data

<p>Raw manuscript data for &quot;Relativistic Kinematics of a Magnetic Soliton&quot; by Caretta, et al.</p>

opencc-by-4.0Oct 2020View details →
dryad28/100

Data from: Hummingbirds control turning velocity using body orientation and turning radius using asymmetrical wingbeat kinematics

Turning in flight requires reorientation of force, which birds, bats and insects accomplish either by shifting body position and total force in concert or by using left–right asymmetries in wingbeat kinematics. Although both mechanisms have been observed in multiple species, it is currently unknown how each is used to control changes in trajectory. We addressed this problem by measuring body and wingbeat kinematics as hummingbirds tracked a revolving feeder, and estimating aerodynamic forces using a quasi-steady model. During arcing turns, hummingbirds symmetrically banked the stroke plane of both wings, and the body, into turns, supporting a body-dependent mechanism. However, several wingbeat asymmetries were present during turning, including a higher and flatter outer wingtip path and a lower more deviated inner wingtip path. A quasi-steady analysis of arcing turns performed with different trajectories revealed that changes in radius were associated with asymmetrical kinematics and forces, and changes in velocity were associated with symmetrical kinematics and forces. Collectively, our results indicate that both body-dependent and -independent force orientation mechanisms are available to hummingbirds, and that these kinematic strategies are used to meet the separate aerodynamic challenges posed by changes in velocity and turning radius.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Intermediate kinematics produce inferior feeding performance in a classic case of natural hybridization

Selection on naturally-occurring hybrid individuals is a key component of speciation theory, but few studies examine the functional basis of hybrid performance. We examine the functional consequences of hybridization in nature using the freshwater sunfishes (Centrarchidae), where natural hybrids have been studied for over a century and a half. We examined bluegill (Lepomis macrochirus), green sunfish (Lepomis cyanellus), and their naturally-occurring hybrid using prey capture kinematics and morphology to parameterize suction feeding simulations on divergent parental resources. Hybrid individuals exhibited intermediate kinematics between the two parental species. However, performance assays indicated that hybrids display performance most similar to the worse-performing species for a given parental resource. Our results show that intermediate hybrid phenotypes can be impaired by a less than intermediate performance and hence suffer a larger loss in fitness than could be inferred from morphology alone.

opencc-zeroDec 2014View details →
zenodo28/100

Calibration Data for Kinematic Stellar Age Models

<p>https://github.com/ssagear/KinematicAgePredictor</p>

opencc-by-4.0Oct 2023View details →
zenodo28/100

Data for "HSTPROMO Internal Proper Motion Kinematics of Dwarf Spheroidal Galaxies: I. Velocity Anisotropy and Dark Matter Cusp Slope of Draco"

<p>DATA FOR:</p> <p>HSTPROMO Internal Proper Motion Kinematics of Dwarf Spheroidal Galaxies: I. Velocity Anisotropy and Dark Matter Cusp Slope of Draco</p> <p>THE PUBLIC FILES THAT ARE SHARED HERE ARE:</p> <p>1. DRACO_STARS: This file contains measured proper motions, uncertainties and respective instrumental magnitudes of stars with proper motion uncertainties smaller than Draco's intrinsic velocity dispersion. The detailed explanation of this dataset is given in Vitral et al. (2024, Section 2.3.5).<br>2. DRACO_BINS: This file corresponds to the data points in Figure 11 from Vitral et al. (2024), corresponding to 3D velocity dispersion profiles and respective line-of-sight rotation curve from Draco.<br>3. DRACO_LOS: This file contains the field "OBJ_ID" from the line-of-sight catalog from Walker et al. (2023) concerning the stars retained for internal mass-modeling in Vitral et al. (2024).</p> <p>Please read the "Notes" section of each file for further information.</p> <p>Please cite the following papers when using these catalogs:</p> <p>- Vitral et al. (2024), ApJ, DOI: <a href="https://iopscience.iop.org/article/10.3847/1538-4357/ad571c" target="_blank" rel="noopener">10.3847/1538-4357/ad571c</a><br>- Walker et al. (2023), ApJS, 268, 19, DOI: <a href="https://doi.org/10.3847/1538-4365/acdd79">10.3847/1538-4365/acdd79</a></p>

opencc-zeroMay 2024View details →
dryad28/100

Supplemental data for: Three-dimensional kinematics of euchelicerate limbs uncover functional specialisation in eurypterid appendages

<p>Sea scorpions (Eurypterida; Euchelicerata) explored the extreme limits of the aquatic euchelicerate body plan. Indeed, the group contains the largest known marine euarthropods. Inferences on eurypterid life modes—in particular walking and eating—are commonly made by comparing the group to horseshoe crabs (Xiphosura; Euchelicerata). However, no models have been presented to test these <span>hypotheses</span>. Here, we reconstruct prosomal appendages of two exceptionally well-preserved eurypterids <i>Eurypterus tetragonophthalmus</i> and <i>Pentecopterus decorahensis </i>and kinematically model the flexure and extension of these appendages in 3D. We compare these models to 3D kinematic models of <i>Limulus polyphemus</i> prosomal appendages. This comparison highlights that the examined eurypterid prosomal appendages could not have effectively moved prey items to the gnathal edges, and therefore would not have emulated the motion of a <i>L. polyphemus</i> walking leg. It seems that these eurypterid appendages were primarily used to walk or grab prey and other appendages would have moved prey for mastication. Such 3D kinematic modelling highlights how eurypterid appendage morphologies placed substantial limits on their function, suggesting a high degree of specialisation, especially when compared to horseshoe crabs. 3D kinematic modelling of these extinct groups also presents an innovative approach to understanding the position of these animals within their respective paleoecosystems.</p>

opencc-zeroOct 2021View details →
dryad28/100

Data from: The effects of temperature on the kinematics of rattlesnake predatory strikes in both captive and field environments

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publicFeb 2021View details →
dryad28/100

Data from: Kinematic diversity suggests expanded roles for fly halteres

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publicOct 2015View details →
dryad28/100

Data from: Intermediate kinematics produce inferior feeding performance in a classic case of natural hybridization

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publicJul 2015View details →
dryad28/100

Supplemental data for: Three-dimensional kinematics of euchelicerate limbs uncover functional specialisation in eurypterid appendages

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publicOct 2021View details →
dryad28/100

Data from: Context-dependent changes in motor control and kinematics during locomotion: modulation and decoupling

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publicMar 2015View details →
dryad28/100

Data from: Hummingbirds control turning velocity using body orientation and turning radius using asymmetrical wingbeat kinematics

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publicMar 2017View details →
dryad28/100

Data from: Kinematics of chisel-tooth digging by African mole-rats

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publicOct 2017View details →
dryad28/100

Data from: Hydrodynamic regime determines the feeding success of larval fish through the modulation of strike kinematics

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publicMar 2017View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record