Omkar2118/datasets huggingface dataset:
Beijing Multi-Site Air-Quality Dataset

This data set includes hourly air pollutants data from 12 nationally-controlled air-quality monitoring sites. The air-quality data are from the Beijing Municipal Environmental Monitoring Center. The meteorological data in each air-quality site are matched with the nearest weather station from the China Meteorological Administration. The time period is from March 1st, 2013 to February 28th, 2017. Missing data are denoted as NA.

Introducing paper: Cautionary Tales on Air-Quality Improvement in Beijing
PhysioNet Challenge 2012
Full name: PhysioNet Challenge 2012

The **PhysioNet Challenge 2012** dataset is publicly available and contains the de-identified records of 8000 patients in Intensive Care Units (ICU). Each record consists of roughly 48 hours of multivariate time series data with up to 37 features recorded at various times from the patients during their stay such as respiratory rate, glucose etc.

Source: [Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)](https://arxiv.org/abs/1905.00125)
Image Source: [https://physionet.org/content/challenge-2016/1.0.0/](https://physionet.org/content/challenge-2016/1.0.0/)
REDS
Full name: REalistic and Diverse Scenes dataset
realistic and dynamic scenes

The realistic and dynamic scenes (**REDS**) dataset was proposed in the NTIRE19 Challenge. The dataset is composed of 300 video sequences with resolution of 720×1,280, and each video has 100 frames, where the training set, the validation set and the testing set have 240, 30 and 30 videos, respectively

Source: [Video Super Resolution Based on Deep Learning: A comprehensive survey](https://arxiv.org/abs/2007.12928)
Image Source: [https://seungjunnah.github.io/Datasets/reds.html](https://seungjunnah.github.io/Datasets/reds.html)
ECG5000
Full name: ECG5000

The original dataset for "ECG5000" is a 20-hour long ECG downloaded from Physionet. The name is BIDMC Congestive Heart Failure Database(chfdb) and it is record "chf07". It was originally published in "Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23)". The data was pre-processed in two steps: (1) extract each heartbeat, (2) make each heartbeat equal length using interpolation. This dataset was originally used in paper "A general framework for never-ending learning from time series streams", DAMI 29(6). After that, 5,000 heartbeats were randomly selected. The patient has severe congestive heart failure and the class values were obtained by automated annotation
MESA
Full name: Multi-Ethnic Study of Atherosclerosis

Multi-Ethnic Study of Atherosclerosis (MESA) is an NHLBI-sponsored 6-center collaborative longitudinal investigation of factors associated with the development of subclinical cardiovascular disease and the progression of subclinical to clinical cardiovascular disease.