COVID-19 Cough Audio Dataset (Processed, Kaldi-style) This repository contains a fully processed, Kaldi-style version of the COVID-19 cough audio dataset used in my COVID-19 detection project.It includes standardized audio files (16 kHz)…
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COVID-19 Cough Audio Dataset (Processed, Kaldi-style) This repository contains a fully processed, Kaldi-style version of the COVID-19 cough audio dataset used in my COVID-19 detection project.It includes standardized audio files (16 kHz)…
The dataset of Identifikasi Profil Akun Twitter dengan Metode Dedupe Pada tagar COVID is crawled from COVID tweet in twitter. We only store Name, Username, Location and Description. The dataset is in CSV file.
ConTEB - Covid-QA This dataset is part of ConTEB (Context-aware Text Embedding Benchmark), designed for evaluating contextual embedding model capabilities. It focuses on the theme of Healthcare, particularly stemming from articles about…
This database includes the raw data linked with the paper “COVID‐19‐related psychiatric impact on Italian adolescent population: A cross‐sectional cohort study” published on “Journal of Community Psychology”. In…
CovidQA is the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge.
Base de datos de la investigación: Comportamiento de la COVID 19 en el municipio Cerro, La Habana. Abarca la edad, sexo, fuente de infección y área de salud de los casos confirmados de COVID 19 en este territorio.
COVID-19 Infodemic Multilingual Dataset This repository contains a multilingual dataset related to the COVID-19 infodemic, annotated with fine-grained labels. The dataset is curated to address questions of interest to journalists…
The COVID Symptom Tracker ( https://covid.joinzoe.com/ ) mobile application was designed by doctors and scientists at King's College London, Guys and St Thomas’ Hospitals working in partnership with ZOE Global Ltd – a health…
Dataset Card for COVID-QA Dataset Summary COVID-QA is a Question Answering dataset consisting of 2,019 question/answer pairs annotated by volunteer biomedical experts on scientific articles related to COVID-19. A total of 147 scientific…
Data set from the comment Iacobellis G, Secchi F, Capitanio G, Basilico S, Schiaffino S, Boveri S, Sardanelli F, Corsi Romanelli MM, Malavazos AE. Epicardial Fat Inflammation in Severe COVID-19. Obesity (Silver Spring). 2020…
This dataset corresponds to the paper COVID-BLUeS -- A Prospective Study on the Value of AI in Lung Ultrasound Analysis published in IEEE Journal of Biomedical and Health Informatics 2025. If you face a paywell, you can access the…
Though the global health and socioeconomic crisis created by COVID–19withitsrapid spreading nature, high infectivity and fatality rate leading to impairment in human health, psychosocial life and world economy, mass fear of COVID – 19…
The COVID Analysis and Mapping of Policies (AMP) dataset is a research effort performed by researchers at the Georgetown University Center for Global Health Science and Security. The COVID AMP dataset is an Excel file (.xlsx) which…
CLUSTREC-COVID: A Topical Clustering Benchmark for COVID-19 Scientific Research Dataset Summary CLUSTREC-COVID is a modified version of the TREC-COVID dataset, transformed into a topical clustering benchmark. The dataset consists of titles…
This is a synthetic case reporting data set for the SARS-CoV-2 epidemic in Austria. The data set statistically reproduces and synthetically augments data on reported cases and was generated with an agent-based simulation model. References…
COVID-19 CT Segmentation Dataset Dataset Description The COVID-19 CT Segmentation dataset for lung and COVID-19 infection segmentation from CT scans. This dataset contains CT scans with dense segmentation annotations. Dataset Details…
The COVID Tracking Project was a volunteer organization launched from The Atlantic and dedicated to collecting and publishing the data required to understand the COVID-19 outbreak in the United States. Our dataset was in use by national…
CovidQA An MTEB dataset Massive Text Embedding Benchmark LMEB semantic retrieval task based on COVID-QA, retrieving relevant biomedical evidence for COVID-19 questions. Task category Retrieval (text-to-text) Domains Academic, Medical…
A significant percentage of COVID-19 survivors experience ongoing multisystemic symptoms that often affect daily living, a condition known as Long Covid or post-acute-sequelae of SARS-CoV-2 infection. However, identifying scientific…