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20 results for “ROSBAG”
RoboCup 2023-2024 ROSbag Dataset
<h2><strong>Robocup 2023</strong></h2> <p>Repository name: <strong>Robocup at Home 2023 Rosbags Dataset</strong></p> <p>Data identification number: 10.5281/zenodo.13902513</p> <p>Direct URL to data: <a href="https://zenodo.org/records/13902513"><strong>https://zenodo.org/records/13902513</strong></a></p> <h2><br><br><strong>Robocup 2024</strong></h2> <p>Repository name: <strong>Robocup@Home 2024: Recepcionist Rosbags Dataset</strong></p> <p>Data identification number: 10.5281/zenodo.13902011</p> <p>Direct URL to data: <strong><a href="https://zenodo.org/records/13902011">https://zenodo.org/records/13902011</a></strong></p> <p> </p> <p><br>Repository name: <strong>Robocup at Home 2024 Rosbags Dataset for Carry my luggage</strong></p> <p>Data identification number: 10.5281/zenodo.13748065</p> <p>Direct URL to data: <strong><a href="../records/13748065">https://zenodo.org/records/13748065</a></strong></p> <p> </p> <p><br>Repository name: <strong>Robocup at Home 2024 Rosbags Dataset for GPSR</strong></p> <p>Data identification number: 10.5281/zenodo.13902406</p> <p>Direct URL to data: <a href="https://zenodo.org/records/13902406"><strong>https://zenodo.org/records/13902406</strong></a></p> <p><br>Repository name: <strong>Robocup at Home 2024 Rosbags Dataset for storing groceries</strong></p> <p>Data identification number: 10.5281/zenodo.13749419</p> <p>Direct URL to data: <a href="../records/13749419"><strong>https://zenodo.org/records/13749419</strong></a></p> <p> </p> <p>Repository name: <strong>Robocup at Home 2024 Rosbags Dataset for stickler for the rules</strong></p> <p>Data identification number: 10.5281/zenodo.13902378</p> <p>Direct URL to data: <strong> <a href="https://zenodo.org/records/13902378">https://zenodo.org/records/13902378</a></strong></p> <p><br><br>Repository name: <strong>Robocup at Home 2024 Rosbags Dataset for restaurant</strong></p> <p>Data identification number: 10.5281/zenodo.13902310</p> <p>Direct URL to data: <a href="https://zenodo.org/records/13902310"><strong>https://zenodo.org/records/13902310</strong></a></p>
Navigation Test in Simulated Environment Rosbag. Human obstacle detection.
<p>This repository contains rosbags (ROS 2 Humble) extracted from a navigation test realized in a simulated environment (Amazon Hospital map) with an RB1 robot. The test consist of a navigation form one point to another with a human obstacle avoidance.</p> <p> </p> <p>This research is part of the project TESCAC, financed by “European Union NextGeneration-EU, the Recovery Plan, Transformation and Resilience, through INCIBE".</p>
Robocup at Home 2024 Rosbags Dataset for Carry my luggage
<p>Rosbag for the carry my luggage implementation from Gentlebots team in the Robocup at home 2024 OPL league competition. It contains the following topics: </p> <ul> <li> <p><strong>/say_text</strong><br>Type: <code>std_msgs/msg/String</code></p> </li> <li> <p><strong>/tf</strong><br>Type: <code>tf2_msgs/msg/TFMessage</code></p> </li> <li> <p><strong>/robot_description</strong><br>Type: <code>std_msgs/msg/String</code></p> </li> <li> <p><strong>/tf_static</strong><br>Type: <code>tf2_msgs/msg/TFMessage</code></p> </li> <li> <p><strong>/scan_raw</strong><br>Type: <code>sensor_msgs/msg/LaserScan</code></p> </li> <li> <p><strong>/scan</strong><br>Type: <code>sensor_msgs/msg/LaserScan</code></p> </li> <li> <p><strong>/joint_states</strong><br>Type: <code>sensor_msgs/msg/JointState</code></p> </li> <li> <p><strong>/head_front_camera/rgb/image_raw</strong><br>Type: <code>sensor_msgs/msg/Image</code></p> </li> <li> <p><strong>/head_front_camera/rgb/camera_info</strong><br>Type: <code>sensor_msgs/msg/CameraInfo</code></p> </li> <li> <p><strong>/head_front_camera/depth/image_raw</strong><br>Type: <code>sensor_msgs/msg/Image</code></p> </li> <li> <p><strong>/cmd_vel</strong><br>Type: <code>geometry_msgs/msg/Twist</code></p> </li> <li> <p><strong>/whisper/text</strong><br>Type: <code>std_msgs/msg/String</code></p> </li> </ul> <p>It also contains the following files:</p> <ul> <li> <p><strong>behaviors_main_42195_1721293408071.log (38.0 MB)</strong><br>This is likely the main log file capturing behavior-related events. It has the transition events of the high level actions of the system.</p> </li> <li> <p><strong>bt_navigator_41315_1721293367520.log (437.4 kB)</strong><br>This log file is associated with the "Behavior Tree" (BT) navigator, which manages decision-making and task executionof the NAV2 stack.</p> </li> <li> <p><strong>controller_server_41307_1721293367513.log (339.9 kB)</strong><br>This log likely contains information from the controller server, which handles real-time control commands for the robot’s actuators.</p> </li> <li> <p><strong>launch.log (51.6 kB)</strong><br>This log file documents the startup sequence and processes initiated when launching the robot's system. </p> </li> <li> <p><strong>move_group_41349_1721293367610.log (14.4 kB)</strong><br>This log is related to the robot's motion planning and manipulation tasks.</p> </li> <li> <p><strong>planner_server_41311_1721293367511.log (120.0 kB)</strong><br>This log contains details from the planner server, responsible for calculating paths for navigation or task execution.</p> </li> <li> <p><strong>real_time_main_41347_1721293367764.log (331.0 kB)</strong><br>This file records real-time events, from the attention system and perception system</p> </li> <li> <p><strong>server_41353_1721293368024.log (13.9 kB)</strong><br><br></p> </li> <li> <p><strong>whisper_node_41327_1721293367557.log (size unknown)</strong><br>This log file records events from the Whisper Node, which is possibly responsible for processing audio input (like speech recognition or sound detection). It store transcripts of audio processing or errors during speech-to-text conversions.</p> </li> </ul> <p> </p>
Robocup at Home 2024 Rosbags Dataset for storing groceries
<p>Rosbag for the storing groceries implementation from Gentlebots team in the Robocup at home 2024 OPL league competition. It contains the following topics: </p> <ul> <li> <p><strong>/say_text</strong></p> <ul> <li><strong>Type</strong>: <code>std_msgs/msg/String</code></li> <li><strong>Message count</strong>: 1</li> </ul> </li> <li> <p><strong>/tf</strong></p> <ul> <li><strong>Type</strong>: <code>tf2_msgs/msg/TFMessage</code></li> <li><strong>Message count</strong>: 7833</li> </ul> </li> <li> <p><strong>/scan</strong></p> <ul> <li><strong>Type</strong>: <code>sensor_msgs/msg/LaserScan</code></li> <li><strong>Message count</strong>: 1267</li> </ul> </li> <li> <p><strong>/tf_static</strong></p> <ul> <li><strong>Type</strong>: <code>tf2_msgs/msg/TFMessage</code></li> <li><strong>Message count</strong>: 7</li> </ul> </li> <li> <p><strong>/scan_raw</strong></p> <ul> <li><strong>Type</strong>: <code>sensor_msgs/msg/LaserScan</code></li> <li><strong>Message count</strong>: 1267</li> </ul> </li> <li> <p><strong>/robot_description</strong></p> <ul> <li><strong>Type</strong>: <code>std_msgs/msg/String</code></li> <li><strong>Message count</strong>: 1</li> </ul> </li> <li> <p><strong>/map</strong></p> <ul> <li><strong>Type</strong>: <code>nav_msgs/msg/OccupancyGrid</code></li> <li><strong>Message count</strong>: 1</li> </ul> </li> <li> <p><strong>/joint_states</strong></p> <ul> <li><strong>Type</strong>: <code>sensor_msgs/msg/JointState</code></li> <li><strong>Message count</strong>: 8446</li> </ul> </li> <li> <p><strong>/head_front_camera/rgb/image_raw</strong></p> <ul> <li><strong>Type</strong>: <code>sensor_msgs/msg/Image</code></li> <li><strong>Message count</strong>: 2530</li> </ul> </li> <li> <p><strong>/head_front_camera/rgb/camera_info</strong></p> <ul> <li><strong>Type</strong>: <code>sensor_msgs/msg/CameraInfo</code></li> <li><strong>Message count</strong>: 2530</li> </ul> </li> <li> <p><strong>/head_front_camera/depth/image_raw</strong></p> <ul> <li><strong>Type</strong>: <code>sensor_msgs/msg/Image</code></li> <li><strong>Message count</strong>: 2526</li> </ul> </li> <li> <p><strong>/bb_img_best_detection</strong></p> <ul> <li><strong>Type</strong>: <code>sensor_msgs/msg/Image</code></li> <li><strong>Message count</strong>: 0</li> </ul> </li> <li> <p><strong>/cmd_vel</strong></p> <ul> <li><strong>Type</strong>: <code>geometry_msgs/msg/Twist</code></li> <li><strong>Message count</strong>: 595</li> </ul> </li> </ul> <p>This dataset contains the following files:</p> <ul> <li> <p><strong>behavior_server_74938_1721316457088.log</strong> (2.7 kB)</p> <ul> <li><strong>Description</strong>: A log file related to the behavior server of a the NAV2 stack</li> </ul> </li> <li> <p><strong>bt_navigator_74940_1721316457081.log</strong> (1.5 kB)</p> <ul> <li><strong>Description</strong>: A log file from the Behavior Tree (BT) Navigator. This component handles the decision-making process in a robotics navigation stack. The log probably details the sequence of actions the navigator took, including goal assignments, behavior tree execution steps, and potential errors during navigation.</li> </ul> </li> <li> <p><strong>controller_server_74932_1721316457073.log</strong> (8.0 kB)</p> <ul> <li><strong>Description</strong>: A log file generated by the controller server. This file contains logs related to the robot's controller, which is responsible for sending commands to the actuators and controlling the robot's movement. It may log control command outputs, feedback from actuators, errors, and overall performance during operation.</li> </ul> </li> <li> <p><strong>launch.log</strong> (37.3 kB)</p> <ul> <li><strong>Description</strong>: This is a log file generated during the launch of a ROS system or nodes. It likely contains output messages related to the initialization, configuration, and startup of various nodes and services in the system. This file helps track the sequence of launch events, including successes and failures during the system's boot process.</li> </ul> </li> <li> <p><strong>metadata.yaml</strong> (10.2 kB)</p> <ul> <li><strong>Description</strong>: A metadata file in YAML format. It usually contains information about the configuration, environment, or data included in the system or the ROS bag. For instance, it might include details such as the start time, the duration of recorded data, message types, topics, and QoS profiles. It helps organize and describe the context of the log and bag files.</li> </ul> </li> <li> <p><strong>planner_server_74936_1721316457074.log</strong> (10.5 kB)</p> <ul> <li><strong>Description</strong>: A log file from the planner server. This file logs the operations of the planning component from NAV2.</li> </ul> </li> <li> <p><strong>rosbag2_2024_07_18-17_27_55_0.db3</strong></p> <ul> <li><strong>Description</strong>: This is the main ROS 2 bag file in a SQLite3 database format. It contains the recorded ROS topics and messages from the robot's operation during a specific time. The bag file holds sensor data, control commands, and system state information. This file is crucial for analyzing and replaying the robot's actions during the recording session.</li> </ul> </li> </ul>
Robocup at Home 2024 Rosbags Dataset for restaurant
<p>Rosbag for the restaurant implementation from Gentlebots team in the Robocup at home 2024 OPL league competition. It contains the following topics: </p> <ul> <li><code>/say_text</code>: Type - <code>std_msgs/msg/String</code></li> <li><code>/tf</code>: Type - <code>tf2_msgs/msg/TFMessage</code></li> <li><code>/scan</code>: Type - <code>sensor_msgs/msg/LaserScan</code></li> <li><code>/tf_static</code>: Type - <code>tf2_msgs/msg/TFMessage</code></li> <li><code>/scan_raw</code>: Type - <code>sensor_msgs/msg/LaserScan</code></li> <li><code>/robot_description</code>: Type - <code>std_msgs/msg/String</code></li> <li><code>/joint_states</code>: Type - <code>sensor_msgs/msg/JointState</code></li> <li><code>/head_front_camera/rgb/image_raw</code>: Type - <code>sensor_msgs/msg/Image</code></li> <li><code>/head_front_camera/rgb/camera_info</code>: Type - <code>sensor_msgs/msg/CameraInfo</code></li> <li><code>/head_front_camera/depth/image_raw</code>: Type - <code>sensor_msgs/msg/Image</code></li> <li><code>/map</code>: Type - <code>nav_msgs/msg/OccupancyGrid</code></li> <li><code>/cmd_vel</code>: Type - <code>geometry_msgs/msg/Twist</code></li> </ul> <p>The files inside the .zip contain the logs file of the important system such as navigation nodes, controller nodes and action execution nodes, also there is a censored video with the people face blured.</p>
Robocup@Home 2024: Receptionist Rosbags Dataset
<p>This repository contains data recorded during the <strong>Receptionist</strong> test at <strong>RoboCup 2024</strong>, captured using <strong>ROS 2 Humble</strong>. It includes <strong>rosbag</strong> files with sensor and robot state data, as well as third-person videos showing the interaction from the audience's perspective.</p> <h4>Key Files:</h4> <ol> <li> <p><strong>rosbag2_2024_07_18-13_56_14_0.db3</strong> and <strong>rosbag2_2024_07_18-13_15_28_0.db3</strong><br><code>rosbag</code> files containing sensor data, executed commands, and robot states during the Receptionist test.</p> </li> <li> <p><strong>receptionist_try_1_censored.mp4, receptionist_try_1_v2_censored.mp4</strong> <strong>receptionist_try_2_censored.mp4</strong><br>Videos of the Receptionist test, recorded from a third-person perspective, with identities censored.</p> </li> <li> <p><strong>metadata_recepcionist_try_1.yaml</strong> and <strong>metadata_recepcionist_try_2.yaml</strong><br>Metadata files describing the parameters and configurations for each test run.</p> </li> <li> <p><strong>RECEPTIONIST_1_logs.zip</strong><br>System logs captured during the test, useful for performance analysis and debugging.</p> </li> </ol>
Robocup at Home 2024 Rosbags Dataset for stickler for the rules
<p>Rosbag for the stickler for the rules implementation from Gentlebots team in the Robocup at home 2024 OPL league competition. It contains the following topics: </p> <ul> <li><code>/say_text</code>: Type - <code>std_msgs/msg/String</code></li> <li><code>/tf</code>: Type - <code>tf2_msgs/msg/TFMessage</code></li> <li><code>/scan</code>: Type - <code>sensor_msgs/msg/LaserScan</code></li> <li><code>/tf_static</code>: Type - <code>tf2_msgs/msg/TFMessage</code></li> <li><code>/scan_raw</code>: Type - <code>sensor_msgs/msg/LaserScan</code></li> <li><code>/robot_description</code>: Type - <code>std_msgs/msg/String</code></li> <li><code>/joint_states</code>: Type - <code>sensor_msgs/msg/JointState</code></li> <li><code>/head_front_camera/rgb/image_raw</code>: Type - <code>sensor_msgs/msg/Image</code></li> <li><code>/head_front_camera/rgb/camera_info</code>: Type - <code>sensor_msgs/msg/CameraInfo</code></li> <li><code>/head_front_camera/depth/image_raw</code>: Type - <code>sensor_msgs/msg/Image</code></li> <li><code>/map</code>: Type - <code>nav_msgs/msg/OccupancyGrid</code></li> <li><code>/cmd_vel</code>: Type - <code>geometry_msgs/msg/Twist</code></li> </ul> <p>This dataset contains the following files:</p> <ul> <li> <p><strong>behaviors_main_<process_id>_<timestamp>.log</strong>:</p> <ul> <li>Size: Varies (6.5 MB in <code>stickler_try_1</code> and 2.0 MB in <code>stickler_try_2</code>)</li> <li>This file logs the behavior tree or decision-making process of the system. </li> </ul> </li> <li> <p><strong>bt_navigator_<process_id>_<timestamp>.log</strong>:</p> <ul> <li>Size: Small (2.1 kB in <code>stickler_try_1</code>, 4.3 kB in <code>stickler_try_2</code>)</li> <li>This could be the log file for the Behavior Tree (BT) Navigator, contains higher-level navigation decisions or status information.</li> </ul> </li> <li> <p><strong>controller_server_<process_id>_<timestamp>.log</strong>:</p> <ul> <li>Size: Moderate (17.6 kB in <code>stickler_try_1</code>, 25.9 kB in <code>stickler_try_2</code>)</li> <li>The controller server is responsible for generating control commands, usually to follow a trajectory.</li> <li> <strong>planner_server_<process_id>_<timestamp>.log</strong>:</li> <li>Size: Varies (7.2 kB in <code>stickler_try_1</code>, 34.5 kB in <code>stickler_try_2</code>)</li> <li>The planner server creates paths for the robot to follow, likely containing data about path generation, waypoints, or obstacle avoidance.</li> </ul> </li> <li> <p><strong>launch.log</strong>:</p> <ul> <li>Size: ~50 kB in both tries</li> <li>The <code>launch.log</code> contains the information about the ROS launch process. It logs messages from different nodes starting, stopping, or encountering errors.</li> </ul> </li> <li> <p><strong>metadata.yaml</strong>:</p> <ul> <li>Size: Small (14.8 kB in <code>stickler_try_1</code>, 10.3 kB in <code>stickler_try_2</code>)</li> <li>A YAML file that probably includes metadata about the rosbag</li> </ul> </li> <li> <p><strong>rosbag2_<timestamp>_<id>.db3</strong>:</p> <ul> <li>Size: Very large (18.2 GB in <code>stickler_try_1</code>, unknown in <code>stickler_try_2</code>)</li> <li>This is a <code>.db3</code> file that contains recorded data in a ROS bag format. </li> </ul> </li> </ul>
Robocup at Home 2024 Rosbags Dataset for GPSR
<p>Rosbag for the GPSR implementation from Gentlebots team in the Robocup at home 2024 OPL league competition. It contains the following topics: </p> <ul> <li><strong>/head_front_camera/rgb/image_raw</strong>: <ul> <li>Type: <code>sensor_msgs/msg/Image</code></li> </ul> </li> <li><strong>/head_front_camera/rgb/camera_info</strong>: <ul> <li>Type: <code>sensor_msgs/msg/CameraInfo</code></li> </ul> </li> <li><strong>/head_front_camera/depth/image_raw</strong>: <ul> <li>Type: <code>sensor_msgs/msg/Image</code></li> </ul> </li> <li><strong>/say_text</strong>: <ul> <li>Type: <code>std_msgs/msg/String</code></li> </ul> </li> <li><strong>/tf</strong>: <ul> <li>Type: <code>tf2_msgs/msg/TFMessage</code></li> </ul> </li> <li><strong>/scan</strong>: <ul> <li>Type: <code>sensor_msgs/msg/LaserScan</code></li> </ul> </li> <li><strong>/tf_static</strong>: <ul> <li>Type: <code>tf2_msgs/msg/TFMessage</code></li> </ul> </li> <li><strong>/scan_raw</strong>: <ul> <li>Type: <code>sensor_msgs/msg/LaserScan</code></li> </ul> </li> <li><strong>/robot_description</strong>: <ul> <li>Type: <code>std_msgs/msg/String</code></li> </ul> </li> <li><strong>/joint_states</strong>: <ul> <li>Type: <code>sensor_msgs/msg/JointState</code></li> </ul> </li> <li><strong>/cmd_vel</strong>: <ul> <li>Type: <code>geometry_msgs/msg/Twist</code></li> </ul> </li> <li><strong>/whisper/text</strong>: <ul> <li>Type: <code>std_msgs/msg/String</code></li> </ul> </li> </ul> <p>This dataset also contains the following files: </p> <ul> <li> <p><strong>behavior_server_27508_1721385904208.log</strong> (3.0 kB)</p> <ul> <li>Log file for the behavior server. It contains the transition between nodes of the BT from the NAV2 stack</li> </ul> </li> <li> <p><strong>behaviors_main_28494_1721386618077.log</strong> (348.2 kB)</p> <ul> <li>Main log file for behaviors, detailing the execution of higher-level behaviors, events, or sequences during this trial.</li> </ul> </li> <li> <p><strong>bt_navigator_27510_1721385904206.log</strong> (2.8 kB)</p> <ul> <li>Log file for the behavior tree (BT) navigator. It contains logs related to decision-making, path planning, and navigation logic executed during the trial.</li> </ul> </li> <li> <p><strong>launch.log</strong> (149.0 kB)</p> <ul> <li>General log of the launch process for the robot’s nodes and services. This file provides details on launches of various components.</li> </ul> </li> <li> <p><strong>metadata.yaml</strong> (10.0 kB)</p> <ul> <li>Metadata for the rosbag recorded during this trial.</li> </ul> </li> <li> <p><strong>planner_server_27506_1721385904192.log</strong> (41.7 kB)</p> <ul> <li>Log file for the planner server, which includes details about the global/local planning and path computation during navigation.</li> </ul> </li> <li> <p><strong>python3_27552_1721385905172.log</strong> (4.1 kB)</p> </li> <li> <p><strong>rosbag2_2024_07_19-12_53_24_0.db3</strong> (25.7 GB)</p> <ul> <li>The recorded rosbag file from this session, containing all the published data on subscribed topics during the trial.</li> </ul> </li> <li> <p><strong>whisper_node_27522_1721385904283.log</strong> (1.5 kB)</p> <ul> <li>Log file for the whisper node, voice recognition, command interpretation during this trial.</li> </ul> </li> </ul>
Robocup at Home 2023 Rosbags Dataset
Open the record for dataset details and reuse information.
ROSBags acquired in Quinta da Aveleda on 23-06-2021
<p>ROSBags acquired in Quinta da Aveleda on 23-06-2021+</p>
ROSBags acquired in Quinta do Seixo on 17-03-2021
<p>ROSBags acquired in Quinta do Seixo on 17-03-2021</p>
ROSBags acquired in Quinta da Aveleda on 26-07-2021
<p>ROSBags acquired in Quinta da Aveleda on 26-07-2021</p>
ROSBags acquired in Quinta da Aveleda on 27-05-2021
<p>ROSBags acquired in Quinta da Aveleda on 27-05-2021</p>
ROSBags acquired in Quinta da Aveleda at 29-11-2022
<p>ROSBags acquired in Quinta da Aveleda at 29-11-2022</p>
Online Interactive Perception of Articulated Objects with Multi-Level Recursive Estimation Based on Task-Specific Priors -- Rosbag data
<p>This is the rosbag data accompanying the IROS 2014 paper "Online Interactive Perception of Articulated Objects with Multi-Level Recursive Estimation Based on Task-Specific Priors"</p>
ROSBags acquired in Quinta da Aveleda on 11-05-2021
<p>ROSBags acquired in Quinta da Aveleda at 11-05-2021.</p>
ROSBags acquired in Quinta do Seixo on 27-05-2021
<p>ROSBags acquired in Quinta do Seixo on 27-05-2021</p>
ROSbag with RGB-D data of one pallet (2024-05-28)
<p>The dataset contains RGB-D images of a loaded pallet captured by the ZED-X mounted on the front of the loader robot. The following topics have been recorded on the bag files:</p> <ul> <li>/loader/ugv0/zed_node/depth/camera_info_throttle</li> <li>/loader/ugv0/zed_node/depth/depth_registered_throttle</li> <li>/loader/ugv0/zed_node/rgb/camera_info_throttle</li> <li>/loader/ugv0/zed_node/rgb/image_rect_color_throttle</li> </ul> <p>This data can be used to train an AI approach to subsequently track the 3D pose of the pallet on-the-fly.</p>
ROSBags acquired in Alcobaça on 01-08-2022
<p>ROSBags acquired in Alcobaça on 01-08-2022</p>
ROSBags acquired in Quinta do Seixo at 17-11-2022
<p>ROSBags acquired in Quinta do Seixo at 17-11-2022</p>
ScienceDex guides
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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.