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427 results for “modularity”
Video recordings of "Modular Tangible User Interfaces: Impact of Module Shape and Bonding Strength on Interaction"
<p>We provide the video data recorded during the experiment presented in the publication <a href="https://doi.org/10.1145/3569009.3572731">https://doi.org/10.1145/3569009.3572731</a>.</p> <p>We conducted the first study on how the bonding strength and the shape of modules impact usability during user interaction with modular tangible user interfaces (TUIs). We built six magnetic modular prototypes featuring 6x6x6mm modules with three different levels of bonding strength (low, mid, high) and two different shapes (cubes and rounded cubes). We asked participants to perform eight common tasks found in the HCI literature for (non-)modular TUIs, which are presented in section 3.3 from the publication:</p> <ol> <li>Lift</li> <li>Split one module</li> <li>Split two modules</li> <li>Split a line of modules</li> <li>Split half of the modules</li> <li>Slide parts of the interface</li> <li>Bend the interface</li> <li>Fold the interface</li> </ol> <p><br> Participants performed the manipulations on two types of configuration of modules: a flat configuration (i.e., one layer of 80 modules) or a thick configuration (i.e., two layers on 40 modules each). The video data we provide consists of recordings of the hands of the participants when they perform the tasks with each condition of prototype. The video data we provide consists of recordings of the hands of the participants when they perform the tasks with each condition of prototype.</p> <p>The procedure presented in the video recordings is as follow:<br> <br> The participant sits in front of a table with a delimited manipulation area, with an overhead camera pointing towards the manipulation area. Participants are asked to perform the experiment within the borders of the manipulation area.<br> The experimental software (not shown in the recordings, but in the publication) presents the participants with a picture of a starting State A (e.g., a rectangular block) and a target State B (e.g., the rectangular block split in two halves). Reaching state B only requires the use of one elementary manipulation. There is no indication as to how the UI was grabbed to reach State B, to avoid bias. The experimenter places the first prototype on the manipulation area, mimicking State A. The participant manipulates the prototype to reach State B. The task is repeated three times to allow exploring different strategies. After completion of the task, the participant fills a short questionnaire, which is when a mobile tablet is shown in the recordings. They are then presented with the next task to perform (i.e., new State A and B pictures) while the experimenter presents the next prototype. This procedure is repeated for each manipulation and each condition.</p>
ROS2 bag multimodal perception dataset acquired in Portuguese forest with Modular-E robot for line vegetation clearing
<p>Rosbag data acquired:</p> <ul> <li>RGB-D data from OAK-D facing sideways;</li> <li>Pointcloud from Hokuyo 2D Lidar facing sideways;</li> <li>Pointcloud from Robosense 360º Lidar facing forward;</li> <li>RTK fix.</li> </ul>
Modular transcriptional repertoire analyses identify neutrophil signature as candidate biomarker for lupus nephritis
GEO Series GSE72326. Homo sapiens. 238 samples. Type: Expression profiling by array.
Aspiration-assisted intra-operative 3D bioprinting of scaffold-free modular units for skeletal muscle tissue regeneration
GEO Series GSE292577. Homo sapiens; Mus musculus. 39 samples. Type: Expression profiling by high throughput sequencing.
A modular CRISPRa system for molecular therapy of FOXG1 syndrome
GEO Series GSE275547. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Modular automated microfluidic cell culture platform reduces glycolytic stress in cerebral cortex organoids
GEO Series GSE207894. Homo sapiens. 41 samples. Type: Expression profiling by high throughput sequencing.
Battery measurements for Modular-E mowing
<p>In this dataset the Robot Modular-E Mowit and Berto beard cutter (BBC) was tested at quinta de espanha cutting</p> <p>This dataset was record using the ROS2-foxy framework and contains two ros2 bags:</p> <p><br> -Mowing with Mowit</p> <pre><code>ros2 bag play discoz_12_14</code></pre> <p>-Mowing with BBC with lub</p> <pre><code>ros2 bag play pente_com_lub_12_38</code></pre> <p>-Mowing with BBC without lub</p> <pre><code>ros2 bag play pente_sem_lub_11_13</code></pre> <table> <tbody> <tr> <td> <p>Name of ROS2 topic</p> </td> <td>Type of ROS2 topic</td> <td>Information</td> </tr> <tr> <td>/joy</td> <td>sensor_msgs/msg/Joy</td> <td> </td> </tr> <tr> <td>/cmd_vel</td> <td>geometry_msgs/msg/Twist</td> <td> </td> </tr> <tr> <td>/odom</td> <td>nav_msgs/msg/Odometry</td> <td> </td> </tr> <tr> <td>/raw_can</td> <td>std_msgs/msg/String</td> <td> </td> </tr> <tr> <td>/battery_voltage</td> <td>std_msgs/msg/Int32</td> <td> </td> </tr> <tr> <td>/battery_current</td> <td>std_msgs/msg/Int32</td> <td> </td> </tr> </tbody> </table>
ScienceDex guides
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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.