Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
36
datasets available to search
ShareScore release 0.9.0
Dataset results
36 results for “Head movement”
Lophuromys medicaudatus, L. woosnami, and L. luteogaster are in subgenus Kivumys and woosnami species group. Monotypic. Distribution. Endemic to the Albertine Rift, occurring around Lake Kivu in E DR Congo and Rwanda and SW Uganda (Bwindi). Descriptive notes. Head—body 92-112 mm, tail 73-95 mm, ear 15-19 mm, hindfoot 18-23 mm; weight 29-43 g. Similar to other species in subgenus Kivumys, the Western Rift Brush-furred Rat has unspeckled pelage, and tail ¢.85% of head-body length. Dorsum is uniform dark brown-olive, and venter is orange. Females have three pairs of mammae. Habitat. Mountain swamps and mountain forests at elevations of 1850-2500 m. Food and Feeding. The Western Rift Brush-furred Rat is omnivorous; diets contain 30-100% arthropods, mollusks, seeds, and fruits. Breeding. Female Western Rift Brush-furred Rats can have 1-2 embryos. Pregnant females were observed in February, April, and July. Activity patterns. The Western Rift Brush-furred Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Vulnerable on The IUCN Red List. The Western Rift Brush-furred Rat has never been found in modified secondary environment and is quite rare. Bibliography. Dieterlen (1976b, 1987 2013g), Kasangaki et al. (2003), Verheyen et al. (1996). in Muridae
Lophuromys medicaudatus, L. woosnami, and L. luteogaster are in subgenus Kivumys and woosnami species group. Monotypic. Distribution. Endemic to the Albertine Rift, occurring around Lake Kivu in E DR Congo and Rwanda and SW Uganda (Bwindi). Descriptive notes. Head—body 92-112 mm, tail 73-95 mm, ear 15-19 mm, hindfoot 18-23 mm; weight 29-43 g. Similar to other species in subgenus Kivumys, the Western Rift Brush-furred Rat has unspeckled pelage, and tail ¢.85% of head-body length. Dorsum is uniform dark brown-olive, and venter is orange. Females have three pairs of mammae. Habitat. Mountain swamps and mountain forests at elevations of 1850-2500 m. Food and Feeding. The Western Rift Brush-furred Rat is omnivorous; diets contain 30-100% arthropods, mollusks, seeds, and fruits. Breeding. Female Western Rift Brush-furred Rats can have 1-2 embryos. Pregnant females were observed in February, April, and July. Activity patterns. The Western Rift Brush-furred Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Vulnerable on The IUCN Red List. The Western Rift Brush-furred Rat has never been found in modified secondary environment and is quite rare. Bibliography. Dieterlen (1976b, 1987 2013g), Kasangaki et al. (2003), Verheyen et al. (1996).
Intrafractional Head Movement During Radiosurgery
ClinicalTrials.gov study NCT03896555. IPD Sharing: YES. Countries: 1. Publications: 1.
Influence of Head Positioning on the Movement of the Endotracheal Tube
ClinicalTrials.gov study NCT01888679. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Figure 15. Silba fumosa, head skeleton removed from a puparium, length 1.3 in Diverse mechanisms of feeding and movement in Cyclorrhaphan larvae (Diptera)
Figure 15. Silba fumosa, head skeleton removed from a puparium, length 1.3 mm, mandibles to the left.
Data from: Timing of head movements is consistent with energy minimization in walking ungulates
Many ungulates show a conspicuous nodding motion of the head when walking. Until now, the functional significance of this behaviour remained unclear. Combining in vivo kinematics of quadrupedal mammals with a computer model, we show that the timing of vertical displacements of the head and neck is consistent with minimizing energy expenditure for carrying these body parts in an inverted pendulum walking gait. Varying the timing of head movements in the model resulted in increased metabolic cost estimate for carrying the head and neck of up to 63%. Oscillations of the head–neck unit result in weight force oscillations transmitted to the forelimbs. Advantageous timing increases the load in single support phases, in which redirecting the trajectory of the centre of mass (COM) is thought to be energetically inexpensive. During double support, in which—according to collision mechanics—directional changes of the impulse of the COM are expensive, the observed timing decreases the load. Because the head and neck comprise approximately 10% of body mass, the effect shown here should also affect the animals' overall energy expenditure. This mechanism, working analogously in high-tech backpacks for energy-saving load carriage, is widespread in ungulates, and provides insight into how animals economize locomotion.
Data from: Eye and head movements are complementary in visual selection
In the natural environment, visual selection is accomplished by a system of nested effectors, moving the head and body within space and the eyes within the visual field. However, it is not yet known if the principles of selection for these different effectors are the same or different. We used a novel gaze-contingent display in which an asymmetric window of visibility (a horizontal or vertical slot) was yoked to either head or eye position. Participants showed highly systematic changes in behaviour, revealing clear differences in the principles underlying selection by eye and head. Eye movements were more likely to move in the direction of visible information—horizontally when viewing with a horizontal slot, and vertically with a vertical slot. Head movements showed the opposite and complementary pattern, moving to reveal new information (e.g. vertically with a horizontal slot and vice versa). These results are consistent with a nested system in which the head favours exploration of unknown regions, while the eye exploits what can be seen with finer-scale saccades.
Data from: Head movements quadruple the range of speeds encoded by the insect motion vision system in hawkmoths
Open the record for dataset details and reuse information.
Data from: Eye and head movements are complementary in visual selection
Open the record for dataset details and reuse information.
Data from: Timing of head movements is consistent with energy minimization in walking ungulates
Open the record for dataset details and reuse information.
[LS2N_IPI_Salient360] A dataset of head and eye movements for 360° videos
<h1>Datasets & Toolbox</h1> <div> <p>The following datasets and tools have been made available to those interested in developing and benchmarking their models:</p> <ul> <li><a href="https://salient360.ls2n.fr/datasets/training-dataset/"><strong>Training dataset</strong></a>: A dataset containing 360º images and videos and their corresponding ground-truth saliency maps and scan-paths (according to the different types of models), so you can train and tune your algorithms as necessary, and may also compute the benchmark scores as a reference for yourself.</li> <li><a href="https://salient360.ls2n.fr/datasets/toolbox/"><strong>Toolbox</strong></a>: Scripts to parse the provided data and to compute metrics for comparing saliency maps and scan-paths to assess the performance of the models</li> </ul> <p> </p> <h2>The dataset is structured as follows:</h2> <ul> <li>Stimuli: 19 omnidirectional videos of 20 seconds in equi-rectangular format, 85 omnidirectional images in equi-rectangular format.</li> <li>H: Folder containing the saliency maps and scanpaths from head-only movements.</li> <li>HE: Folder containing the saliency maps and scanpaths from head and eye movements.</li> <li>Tools: Python scripts to parse the saliency-map binary files, and to compute saliency and scanpanth measures.</li> </ul> <p> </p> <p>The details about the saliency map files and the scanpath files are:</p> <ul> <li>Saliency maps from head-only movements: Binary files representing the saliency-map sequences are provided. These sequences contain one saliency map per frame with a resolution of 2048x1024. In a binary file, the saliency values (float32) are organized row-wise and one frame after the other. For each sampled head position, the center of the viewport is considered. Then, an isotropic 3.34-degree Gaussian foveation filter centered in the view-port is applied.</li> <li>Scanpaths from head-only movements: Text files are provided with scanpaths from head movement with 100 samples per observer. Each line contains a vector that indicates the fixation index, longitude, latitude and fixation timestamp, respectively. The fixation index is incremented serially for a particular observer and resets to 0 when we reach the next observer, after all of the fixations of the given observer are reported. The fixation starting time is indicated in seconds, and latitude and longitude positions are normalized between 0 and 1 (so they should be multiplied according to the resolution of the desired equi-rectangular image output dimension).</li> <li>Saliency maps from head and eye movements: Binary files representing the saliency-map sequences. These sequences contain one saliency map per frame with a resolution of 2048x1024. In a binary file, the saliency values (float32) are organized row-wise and one frame after the other. For each eye fixation, an isotropic 2-degree gaussian foveation filter centered at the fixation position is applied. This process is applied to the fixations from both left and right eyes, and then combined in the final saliency map.</li> <li>Scanpaths from head and eye movements: Text files are provided with the scanpaths from both left and right eyes. Each line contains a vector that indicates the fixation index, longitude, latitude and fixation timestamp, duration, start frame and end frame, respectively. The fixation index is incremented serially for a particular observer and resets to 0 when we reach the next observer, after all of the fixations of the given observer are reported. The fixation starting time is indicated in seconds, and latitude and longitude positions are normalized between 0 and 1 (so they should be multiplied according to the resolution of the desired equi-rectangular image output dimension).</li> </ul> <p> </p> <h2><strong>Experiment</strong></h2> <h3>Image</h3> <p>The head mounted display (HMD) Oculus-DK2 was used for this test. It has a frame refresh rate of 75Hz, resolution of 960x1080 per eye and a total viewing angle of 100x100 degrees. The gyroscopic sensors within the device are able to transmit the orientation data at a rate equal to the device frame refresh rate. A small eye-tracking camera from Sensomotoric Instruments (SMI) was integrated into the device and was able to transmit eye-tracking data binocularly at 60Hz.</p> <p>The software setup included a custom build unity software along with the Oculus-DK2 driver version 2.0. The software had a feature to check for calibration accuracy every two minutes and re-calibrated each time if necessary.</p> <p>A total of 63 observers in the age group of 19-52 participated in the test. Observers were tested for visual acuity using the Snellen Test and their dominant eye was also determined using the cardboard technique. </p> <p>To maintain a natural (free-viewing like) gaze pattern, subjects were made to view the scene normally without the need to provide explicit quantitative measurements. They were instructed to watch the scene as normally as possible with a combination of head and eye-movement. Observers were also free to stop the test anytime in case they felt fatigued or had a sensation of vertigo. There were five images used as a training for the observers before starting the actual test.</p> <p>A total of 60 stimuli were shown to the observers in a sequence. Each stimuli lasted for 25 seconds and there was a 5 second gray screen between two stimuli. Every two minutes there was a calibration performed to check the accuracy of the eye-tracker. The test itself lasted for about 35 minutes and the observers had a pause of 5 minutes at the half point of the experiment. The observers were themselves seated comfortably in a turn-chair and were free to rotate the full 360 degrees and also move the chair within the room if necessary. The position of each 360 image was reset to the equirectangular image center at the start of each viewing (irrespective of their position). This was done to ensure that all observers start at the same starting position in the panorama.</p> <h3>Video</h3> <p>360-degree videos were displayed in a VR headset (HTC VIVE) equipped with an SMI eye-tracker. The HTC VIVE headset allows sampling of scenes by approximately 110-degrees horizontal by 110-degrees vertical field of view (1080x1200 pixels per eye) monocularly at 90 frames per second. The eye-tracker samples gaze data at 250Hz with a precision of 0.2 degrees. A custom Unity3D scene was created to display videos. </p> <p>57 participants were recruited (25 women; age 19 to 44, mean: 25.7 years), normal or corrected-to-normal vision was verified and dominant eye of all observers was checked. All 19 videos were observed by all observers for their entire duration (20 seconds).</p> <p>Observers were told to freely explore 360-degrees videos as naturally as possible while wearing a VR headset. Videos were played without audio. In order to let participants safely explore the full 360-degrees field of view, we chose to have them seat in a rolling chair. </p> <p>Participants started exploring omnidirectional contents either from an implicit longitudinal center (0-degrees and center of the equirectangular projection) or from the opposite longitude (180-degrees). Videos were observed in both rotation modalities by at least 28 participants each. We controlled observers starting longitudinal position in the scene by offsetting the content longitudinal position at stimuli onset, making sure participants started exploring 360-degrees scenes at exactly 0-degrees, or 180-degrees of longitude according to the modality. Video order and starting position modalities were cross-randomized for all participants.</p> <p>Observers started the experimentation by an eye-tracker calibration, repeated every 5 videos to make sure that eye-tracker's accuracy does not degrade. the total duration of the test was less than 20 minutes.</p> </div>
The Effect of Adding Auditory Information on Head Movements in People With Non-traumatic Neck Pain
ClinicalTrials.gov study NCT06028269. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effect of Adding Auditory Information on Head Movements in People With Traumatic Neck Pain
ClinicalTrials.gov study NCT06028308. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of Different Add Powers on the Comfort and Productivity of Computer Users With Fixed or Free Head Movement
ClinicalTrials.gov study NCT00317525. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Analysis of Three-dimensional Movements of the Head in Cervical Dystonia
ClinicalTrials.gov study NCT02069548. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Head Movement Effect on Different Tracheal Tubes
ClinicalTrials.gov study NCT00687583. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Ergonomics of Head Movement in XR: Characterising Neck Muscle Activity During Interaction with Head-mounted Displays
Open the record for dataset details and reuse information.
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.