starschema/COVID-19-data: Autorelease 2020-10-24

Földi Tamás; Chris von Csefalvay; piglerp; williamwash; Atsidir; william-wash; zemplenib; João Rodrigues; Mór Kapronczay; Szilárd Huber; grglyb; peterpigler; suommynona

Unpivoted and cleaned data sets on the COVID-19 pandemic

14 more version(s) exist for this record

python-pillow/Pillow 8.0.1

Hugo van Kemenade; wiredfool; Andrew Murray; Alex Clark; Alexander Karpinsky; nulano; Christoph Gohlke; Jon Dufresne; Brian Crowell; David Schmidt; Alastair Houghton; Konstantin Kopachev; Sandro Mani; Steve Landey; vashek; Josh Ware; Jason; David Caro; Steve Kossouho; Riley Lahd; Stanislau T.; Antony Lee; Eric W. Brown; Oliver Tonnhofer; Mickael Bonfill; Peter Rowlands (변기호); Fahad Al-Saidi; Michał Górny; Mikhail Korobov; Marcin Kurczewski

https://pillow.readthedocs.io/en/stable/releasenotes/8.0.1.html

31 more version(s) exist for this record

goldsteinepi/covid_spatial: A Bayesian Approach to Improving Spatial Estimates of Prevalence of COVID-19 After Accounting for Misclassification Bias in Surveillance Data in Philadelphia, PA.

Neal D. Goldstein

Goldstein ND, Wheeler DC, Gustafson P, Burstyn I. A Bayesian Approach to Improving Spatial Estimates of Prevalence of COVID-19 After Accounting for Misclassification Bias in Surveillance Data in Philadelphia, PA. Manuscript in preparation.

2 more version(s) exist for this record

The psychological burden of the COVID-19 pandemic and its associated factors among the frontline doctors of Bangladesh: A cross-sectional study

Barua, Lingkan; Zaman, Muhammed Shahriar; Omi, Fardina Rahman; Faruque, Mithila

This is the raw data of the frontline doctors of Bangladesh who completed the research questionnaire.

COVID-19: Early detection using K-Means and DBSCAN algorithms on real-time patient data

Ali, Omer; Ishak, Mohamad Khairi; Wuttisittikulkij, Lunchakorn; Bhatti, Muhammad Kamran Liaquat

This dataset is based on the experimental study to monitor Covid-19 symptoms such as fever and dry cough and extract features to detect anomalies.  The data is generated from a chest worn device where accelerometer values model the behavior of cough patterns, whereas digital infrared thermometer...

ocelhay/como: v16.2.4

Olivier; Bo Gao; SaiTheinThanTun; ricardoaguas

added hospital requirement plot to baseline update epi data

19 more version(s) exist for this record

Replication Archive for "Why is Mommy So Stressed? Estimating the Immediate Impact of the COVID-19 Shock on Parental Attachment to the Labor Market and the Double Bind of Mothers

Heggeness, Misty L.

This replication archive contains three files. A public use CPS file for January-May of 2019 and 2020, a file of dates for state school closures and stay-at-home orders, and a Stata .do file that reproduces the results in the referenced paper.

3 more version(s) exist for this record

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Banda, Juan M.; Tekumalla, Ramya; Wang, Guanyu; Yu, Jingyuan; Liu, Tuo; Ding, Yuning; Artemova, Katya; Tutubalina, Elena; Chowell, Gerardo

Version 32 of the dataset. In version 30 we added a few additional historical tweets in Russian provided by our coauthors. Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 chatter. Since our first...

32 more version(s) exist for this record

The Daily Life of Software Engineers during the COVID-19 Pandemic -- Replication Package

Russo, Daniel; Hanel, Paul H. P.; Altnickel, Seraphina; Van Berkel, Niels

Following the onset of the COVID-19 pandemic and subsequent lockdowns, software engineers' daily life was disrupted and abruptly forced into remote working from home.  This change deeply impacted typical working routines, affecting both well-being and productivity. Moreover, this pandemic will...

BIP4COVID19: Impact metrics and indicators for coronavirus related publications

Thanasis Vergoulis; Ilias Kanellos; Serafeim Chatzopoulos; Danae Pla Karidi; Theodore Dalamagas

This dataset contains impact metrics and indicators for a set of publications that are related to the COVID-19 infectious disease and the coronavirus that causes it. It is based on: Τhe CORD-19 dataset released by the team of Semantic Scholar1 and Τhe curated data provided by the LitCovid hub2....

24 more version(s) exist for this record