jasong03/data-upload dataset hosted on Hugging Face and contributed by the HF Datasets community

Survey for Emergency Management Datasets Hub site users that wish to upload their own or their organisations data. Questions include data type, format, metadata, upload button and contact information in case more information is required to meet the requirements for new dataset registration.

not-lain/test-parquet-upload-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

CVAT Upload

## Overview

CVAT Upload is a dataset for object detection tasks - it contains 123 annotations for 1,370 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Dito Mo Upload

## Overview

Dito Mo Upload is a dataset for instance segmentation tasks - it contains Ixodes Ricinus annotations for 339 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Contains raw csv data of cell features used for the analysis in the publication: "A novel MYH9 variant leads to atypical Epstein-Fechtner syndrome by altering non-muscle myosin IIA mediated contractile processes" Also contains: - summary statisic after processing raw csv files: code: https://github.com/SaraKaliman/dc-data-novel-MYH9-variant/blob/main/Step1_summary_statistics.ipynb - summary_statistical_group_analysis.csv file created by code: https://github.com/SaraKaliman/dc-data-novel-MYH9-variant/blob/main/Step2_group_comparison.ipynb Patient 21 scalar rtdc files for WBC and RBC created by rbc_wbc_classifier version 2.0. code: https://gitlab.gwdg.de/sara.kaliman/rbc_wbc_classifier_s3_version/-/tree/v2.0?ref_type=tags

humidity

Intelligentsia offal banjo glossier schlitz vinyl 8-bit messenger bag +1 salvia paleo asymmetrical lyft four dollar toast tofu. Poutine put a bird on it roof party hella shaman post-ironic stumptown cray. Art party letterpress pabst fam polaroid yr tumblr photo booth mumblecore skateboard tousled. Vexillologist keffiyeh jianbing XOXO, chillwave lo-fi whatever VHS yuccie ethical. Enamel pin ugh helvetica, slow-carb retro banjo raw denim thundercats lo-fi hella.

This is my NON-OFFICIAL upload of the awesome How2Sign dataset. I am in no way affiliated with them.

In the dataset you can find the B-F-H 2D Keypoint clips as well as English Translation (manually re-aligned) .

@inproceedings{Duarte_CVPR2021, title={{How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language}}, author={Duarte, Amanda and Palaskar, Shruti and Ventura, Lucas and Ghadiyaram, Deepti and DeHaan, Kenneth and Metze, Florian and Torres, Jordi and Giro-i-Nieto, Xavier}, booktitle={Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2021} }

The table Connecticut Data Upload is part of the dataset Example-Covid19, available at https://redivis.com/datasets/1qtj-1mc10rt6e. It contains 20787 rows across 16 variables.

Test Upload

## Overview

Test Upload is a dataset for object detection tasks - it contains Car annotations for 506 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

this is a demo R&D for uploading dataset on Zenodo

Dataset

This dataset was created by vaibhav panvalkar

Contents

Sample Pet Trans (cli Upload)

## Overview

Sample Pet Trans (cli Upload) is a dataset for object detection tasks - it contains Autodistill Annoted annotations for 596 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

We provide MATLAB binary files (.mat) and comma separated values files of data collected from a pilot study of a plug load management system that allows for the metering and control of individual electrical plug loads. The study included 15 power strips, each containing 4 channels (receptacles), which wirelessly transmitted power consumption data approximately once per second to 3 bridges. The bridges were connected to a building local area network which relayed data to a cloud-based service. Data were archived once per minute with the minimum, mean, and maximum power draw over each one minute interval recorded. The uncontrolled portion of the testing spanned approximately five weeks and established a baseline energy consumption. The controlled portion of the testing employed schedule-based rules for turning off selected loads during non-business hours; it also modified the energy saver policies for certain devices. Three folders are provided: “matFilesAllChOneDate” provides a MAT-file for each date, each file has all channels; “matFilesOneChAllDates” provides a MAT-file for each channel, each file has all dates; “csvFiles” provides comma separated values files for each date (note that because of data export size limitations, there are 10 csv files for each date). Each folder has the same data; there is no practical difference in content, only the way in which it is organized.

This dataset is designed for network security load prediction and anomaly detection. It simulates real-world network traffic data, system resource utilization, and security-related events to evaluate network load conditions and detect potential threats in real time.

Key Features Network Traffic Metrics: Packet size, transmission rate, latency, and active connections. System Resource Utilization: CPU usage, memory consumption, bandwidth utilization, and response time. Security Events: Authentication failures, access violations, firewall blocks, and IDS alerts. Wavelet-Based Features: Discrete Wavelet Transform (DWT) coefficients for detecting periodic attack patterns. Target Variable: "Anomalous_Load" (0 = Normal, 1 = Anomalous) based on system resource thresholds and security incidents.

This dataset is about books. It has 1 row and is filtered where the book is Upload to murder. It features 6 columns including author, publication date, book publisher, and ISBN.

Test Dataset for OMERO upload

One set with .tif files

One set with .flex files

Each with corresponding .xml descriptor files

The table New York Data Upload is part of the dataset Example-Covid19, available at https://redivis.com/datasets/1qtj-1mc10rt6e. It contains 138 rows across 4 variables.

Dataset

This dataset was created by Prince2412

Released under Apache 2.0

Contents