This dataset was created using LeRobot.

  Dataset Structure

meta/info.json: { "codebase_version": "v2.1", "robot_type": "so100", "total_episodes": 30, "total_frames": 11000, "total_tasks":1, "total_videos": 60, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:30" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Matlef/test3.

Test export to MEDIN WAF 31-07-2012. Test that metadata date is reflecting the last data it was edited 28-09-2012 Testing OLIBWeb 24/01/2014 Based on the GIS non native layers Purpose of data capture: To test the system Methods of data capture: Not real data but based on non native GIS layers metadata. Geographic coverage: Wales Temporal coverage: 1900 to 2010. Some records are recorded to the day, whereas some can only be attributed to month or year. Confidence in data: The majority of records are collected by specialists. Ad-hoc records are verified where possible.

Dataset Card for "civil_comments"

  Dataset Summary

The comments in this dataset come from an archive of the Civil Comments platform, a commenting plugin for independent news sites. These public comments were created from 2015 - 2017 and appeared on approximately 50 English-language news sites across the world. When Civil Comments shut down in 2017, they chose to make the public comments available in a lasting open archive to enable future research. The original data… See the full description on the dataset page: https://huggingface.co/datasets/Bourdin/test3.

All 311 Service Requests from 2010 to present. This information is automatically updated daily.

This data file is for test 2. In this test a sample of granite with a pre-cut (man made fracture) is confined, heated and differential stress is applied. max temperature in this this system development test is 95C. test details on the spreadsheets--note that there are 2 spreadsheets Link to separate GDR submission hosting additional data sheets (during the stabilization of the up and downstream pore pressures).

This dataset was generated as part of the study titled "Reliability, Correlation, and Influencing Factors of the 1-Minute Sit-to-Stand, 3-Minute Chair Rise, and 3-Minute Walk Tests in Healthy Adults: A Cross-Sectional Study." It includes anonymized data on demographic characteristics, physiological measures, and performance outcomes from field exercise tests conducted on a sample of healthy adults. The dataset supports the analyses and findings reported in the manuscript.

Test 3 on S3: zipped ca 2gb zipped File(s): collared.zip Number files: Size: 2.39 GB Time to upload:

De-methylase JMJD2D screened against the Zenobia Fragment Library by X-ray Crystallography.

test1: Data sets on the impact of path bandwidth ;test2: Data sets on the impact of data scheduling policies ;test3: Data sets on the influence of node selection algorithm ;test4: Compared with Single-TCP and ECMP datasets;

TEST 3 INSPIRE WMS (View) Service Abstract

A content description of the data set is available under ZA Study No. 0214.

Demography: age (classified); sex; marital status; school education; occupation; professional position; employment; household income.

Test description

This dataset was created using LeRobot.

  Dataset Structure

meta/info.json: { "codebase_version": "v2.1", "robot_type": "so100", "total_episodes": 1, "total_frames": 894, "total_tasks": 1, "total_videos": 2, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:1" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Syl2074/Test3.

Hazard ratios for latency to eat in the 180 s and 45 s attention bias test as affected by treatment in experiment 1.

Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see "00_ReadMe.pdf" file for more details.

Mean ± s.e.m. behavioural responses of sheep during the attention bias test in experiment 2.

This dataset presents Test 3 (Baseline). This is the Baseline experiment of Phase 2. All the other experiments change boundary conditions based on Baseline experiment.

Detailed price prediction analysis for Test on Jul 10, 2025, including bearish case ($0.047), base case ($0.05), and bullish case ($0.055) scenarios with Buy trading signal based on technical analysis and market sentiment indicators.

Retrying this because I didn't pay attention to time of finish...

The dataset is password-protected until the article is accepted by the Scientific Data Journal. After acceptance, the dataset will be available to everyone. For any questions, comments or other issues please contact Piotr Woźniak, email: p.wozniak@prz.edu.pl.

License

The MDDRobots dataset is made available under the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/.

Summary

The Multi-Domain Dataset for Robots (MDDRobots) contains data for computer vision problems, indoor place recognition, and anomaly detection. The recorded images are from different cameras and indoor environmental conditions.

It is obligatory to cite the following paper in every work that uses the dataset:

Wozniak, P.; Krzeszowski T.; Kwolek B.: Multi-Domain Dataset for Indoor Place Recognition and Anomaly Detection by Mobile Robots, Scientific Data, ISSN: 2052-4463, 2024.

Data description

The data is divided into five sets, each containing data for different cameras, which have further subsets. Each subset (Training, Test 1, Test 2, and Test 3) consists of nine sequences. There are a total of 87,750 three-channel RGB color images in PNG format organized into 19 zip folders. Each image in the sequence is labeled to represent a room. The number of images for each subset differs due to the division into training and testing data, as well as different methods of recording the sequences. To ensure a balanced dataset, each room in the sequence has the same number of images. Different environmental changes are introduced in each subset, mainly due to changes in the route, robot, and recording equipment. The rooms are well-lit but not overexposed. Test 1 data are closest to those from the training set. Test 3 sequences present changed conditions, such as a different time of day, a changed lighting system, and intensive equipment changes. Test 2 sequences pose the most significant challenge as they contain various recorded activities performed by people moving around rooms. This sequence data does not appear in the Xtion subset.

Dataset structure

• RobotPiCamera_DataSet
  • DataSet_RobotPiCamera_RGB_train
  • DataSet_RobotPiCamera_RGB_test1
  • DataSet_RobotPiCamera_RGB_test2
  • DataSet_RobotPiCamera_RGB_test3
• Xtion_DataSet
  • DataSet_XTION_RGB_train
  • DataSet_XTION_RGB_test1
  • DataSet_XTION_RGB_test3
• GOPRO_DataSet
  • DataSet_GOPRO_RGB_train
  • DataSet_GOPRO_RGB_test1
  • DataSet_GOPRO_RGB_test2
  • DataSet_GOPRO_RGB_test3
• iPhone_DataSet
  • DataSet_IPHONE_RGB_train
  • DataSet_IPHONE_RGB_test1
  • DataSet_IPHONE_RGB_test2
  • DataSet_IPHONE_RGB_test3
• P40PRO_DataSet
  • DataSet_P40PRO_RGB_train
  • DataSet_P40PRO_RGB_test1
  • DataSet_P40PRO_RGB_test2
  • DataSet_P40PRO_RGB_test3

Example folder content: DataSet_P40PRO_RGB_train\Corridor1_RGB - 00000000.png, 00000001.png, 00000002.png, 00000003.png, ... 00000599.png.

Total Images (Images per Place)

Further information

For any questions, comments or other issues please contact Piotr Woźniak