Simulation results from EVI-OnDemand estimating need for infrastructure to support electric ride-hailing vehicles in the US.

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Skeleton datasets for Normal, Antalgic, Stiff legged, Lurching, Steppage, and Trendelenburg gaits.

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279 Views

Sequential skeleton and average foot pressure data for normal and five pathological gaits (i.e., antalgic, lurching, steppage, stiff-legged, and Trendelenburg) were simultaneously collected. The skeleton data were collected by using Azure Kinect (Microsoft Corp. Redmond, WA, USA). The average foot pressure data were collected by GW1100 (GHIWell, Korea). 12 healthy subjects participated in data collection. They simulated the pathological gaits under strict supervision. A total of 1,440 data instances (12 people x 6 gait types x 20 walkings) were collected.

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439 Views

This dataset was created for an Eli Lilly and Company employee information management training program. It was part of a project that explored the potential use of ClinicalTrials.gov (CT.gov) as a tool to evaluate the severity of changes to inclusion and exclusion criteria on clinical trial operations. CT.gov is a public clinical study registry that records summary data about clinical trials. The registry includes a historical record of changes (change history) to inclusion and exclusion criteria and other data that is accessible by users.

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170 Views

This dataset was acquired at the Radboud University Medical Center, Nijmegen, the Netherlands and enriched with landmarks by Fraunhofer MEVIS. It consists of nine datasets of consecutive sections, each containing four slides stained with H&E, CD8, CD45, Ki67, respectively.

Instructions: 

# HyReCo - Hybrid Re-stained and Consecutive Data

The **HyReCo** dataset contains whole slide images of consecutive and restained slides. There are nine different cases (29, 108, 361, 464, 533, 611, 628, 644, 679) with 4 consecutive slices each. They were stained with HE, CD8, KI67, CD45. Additionally, the HE slice was restained with PHH3. All versions were scanned and are available as whole slide images in the BigTIFF format.

There are annotations for each image in an additional CSV file. These files contain lists of point annotations that attempt to mark the same location in all images of a single case. Each line describes a point annotation in world coordinates (x,y,z). The unit is mm. The origin of the coordinate system is the upper left corner of the image.

The **HyReCo-Additional** dataset is structured in the same way, but does only contain restained image pairs of HE and PHH3. There are 54 different cases for this additional dataset with point annotations for each image.

## HyReCo file structure

HyReCo/

- CD45/
- 108.csv
- 108.tif
- 29.csv
- 29.tif
- 361.csv
- 361.tif
- 464.csv
- 464.tif
- 533.csv
- 533.tif
- 611.csv
- 611.tif
- 628.csv
- 628.tif
- 644.csv
- 644.tif
- 679.csv
- 679.tif
- CD8/
- 108.csv
- 108.tif
- 29.csv
- 29.tif
- 361.csv
- 361.tif
- 464.csv
- 464.tif
- 533.csv
- 533.tif
- 611.csv
- 611.tif
- 628.csv
- 628.tif
- 644.csv
- 644.tif
- 679.csv
- 679.tif
- HE/
- 108.csv
- 108.tif
- 29.csv
- 29.tif
- 361.csv
- 361.tif
- 464.csv
- 464.tif
- 533.csv
- 533.tif
- 611.csv
- 611.tif
- 628.csv
- 628.tif
- 644.csv
- 644.tif
- 679.csv
- 679.tif
- KI67/
- 108.csv
- 108.tif
- 29.csv
- 29.tif
- 361.csv
- 361.tif
- 464.csv
- 464.tif
- 533.csv
- 533.tif
- 611.csv
- 611.tif
- 628.csv
- 628.tif
- 644.csv
- 644.tif
- 679.csv
- 679.tif
- PHH3/
- 108.csv
- 108.tif
- 29.csv
- 29.tif
- 361.csv
- 361.tif
- 464.csv
- 464.tif
- 533.csv
- 533.tif
- 611.csv
- 611.tif
- 628.csv
- 628.tif
- 644.csv
- 644.tif
- 679.csv
- 679.tif

## HyReCo-Additiona file structure

HyReCo-Additional/

- HE/
- 108.csv
- 108.tif
- 128.csv
- 128.tif
- 147.csv
- 147.tif
- 155.csv
- 155.tif
- 157.csv
- 157.tif
- 158.csv
- 158.tif
- 168.csv
- 168.tif
- 172.csv
- 172.tif
- 208.csv
- 208.tif
- 237.csv
- 237.tif
- 241.csv
- 241.tif
- 244.csv
- 244.tif
- 245.csv
- 245.tif
- 260.csv
- 260.tif
- 264.csv
- 264.tif
- 272.csv
- 272.tif
- 281.csv
- 281.tif
- 296.csv
- 296.tif
- 29.csv
- 29.tif
- 313.csv
- 313.tif
- 315.csv
- 315.tif
- 31.csv
- 31.tif
- 320.csv
- 320.tif
- 343.csv
- 343.tif
- 349.csv
- 349.tif
- 359.csv
- 359.tif
- 361.csv
- 361.tif
- 364.csv
- 364.tif
- 385.csv
- 385.tif
- 397.csv
- 397.tif
- 399.csv
- 399.tif
- 400.csv
- 400.tif
- 405.csv
- 405.tif
- 409.csv
- 409.tif
- 43.csv
- 43.tif
- 446.csv
- 446.tif
- 449.csv
- 449.tif
- 457.csv
- 457.tif
- 464.csv
- 464.tif
- 485.csv
- 485.tif
- 500.csv
- 500.tif
- 504.csv
- 504.tif
- 506.csv
- 506.tif
- 514.csv
- 514.tif
- 529.csv
- 529.tif
- 541.csv
- 541.tif
- 61.csv
- 61.tif
- 64.csv
- 64.tif
- 663.csv
- 663.tif
- 67.csv
- 67.tif
- 705.csv
- 705.tif
- 79.csv
- 79.tif
- 82.csv
- 82.tif
- 8.csv
- 8.tif
- PHH3/
- 108.csv
- 108.tif
- 128.csv
- 128.tif
- 147.csv
- 147.tif
- 155.csv
- 155.tif
- 157.csv
- 157.tif
- 158.csv
- 158.tif
- 168.csv
- 168.tif
- 172.csv
- 172.tif
- 208.csv
- 208.tif
- 237.csv
- 237.tif
- 241.csv
- 241.tif
- 244.csv
- 244.tif
- 245.csv
- 245.tif
- 260.csv
- 260.tif
- 264.csv
- 264.tif
- 272.csv
- 272.tif
- 281.csv
- 281.tif
- 296.csv
- 296.tif
- 29.csv
- 29.tif
- 313.csv
- 313.tif
- 315.csv
- 315.tif
- 31.csv
- 31.tif
- 320.csv
- 320.tif
- 343.csv
- 343.tif
- 349.csv
- 349.tif
- 359.csv
- 359.tif
- 361.csv
- 361.tif
- 364.csv
- 364.tif
- 385.csv
- 385.tif
- 397.csv
- 397.tif
- 399.csv
- 399.tif
- 400.csv
- 400.tif
- 405.csv
- 405.tif
- 409.csv
- 409.tif
- 43.csv
- 43.tif
- 446.csv
- 446.tif
- 449.csv
- 449.tif
- 457.csv
- 457.tif
- 464.csv
- 464.tif
- 485.csv
- 485.tif
- 500.csv
- 500.tif
- 504.csv
- 504.tif
- 506.csv
- 506.tif
- 514.csv
- 514.tif
- 529.csv
- 529.tif
- 541.csv
- 541.tif
- 61.csv
- 61.tif
- 64.csv
- 64.tif
- 663.csv
- 663.tif
- 67.csv
- 67.tif
- 705.csv
- 705.tif
- 79.csv
- 79.tif
- 82.csv
- 82.tif
- 8.csv
- 8.tif

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30 Views

Water consumption. Data recorded between 2017.1.1 and 2019.12.31.

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212 Views

It contains the data of four omic profiles (CNV, mRNA, miRNA, and protein) obtained for BRCA, LGG, and LUAD obtained from the TCGA project. 

In addition, we provide synthetic data for a mixture of isotropic distributions.

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276 Views

Dataset used in the article "The Reverse Problem of Keystroke Dynamics: Guessing Typed Text with Keystroke Timings". CSV files with dataset results summaries, the evaluated sentences, detailed results, and scores. Results data contains training and evaluation ARFF files for each user, containing features of synthetic and legitimate samples as described in the article. The source data comes from three free text keystroke dynamics datasets used in previous studies, by the authors (LSIA) and two other unrelated groups (KM, and PROSODY, subdivided in GAY, GUN, and REVIEW).

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126 Views

These datasets collect sensorial information about collaborative robot functioning. We recorded information from two different kinds of robots UR3e and UR10e. This dataset is used for data-driving modeling of the power consumption of cobots. The datasets have the following information: recording time, trajectory ID, joints' positions, joints' velocities, motor currents, motor torques, motor voltages, end effector position, force and momentum exerted to the end effector, current and voltage of the robot.

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215 Views

Dataset used in the article "The Reverse Problem of Keystroke Dynamics: Guessing Typed Text with Keystroke Timings". Source data contains CSV files with dataset results summaries, false positives lists, the evaluated sentences, and their keystroke timings. Results data contains training and evaluation ARFF files for each user and sentence with the calculated Manhattan and euclidean distance, R metric, and the directionality index for each challenge instance.

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202 Views

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