Zenodo - Research. Shared.

Swapnil Mishra; Fabian Valka; Christopher Cave-Ayland; Harrison Zhu; Måns Magnusson; Juliette Unwin; Melodie Monod; bgoodri; Seth Flaxman; Alexandre Payot; hrkulkarMsft

Version 11 Release This is the release related to our upcoming peer-reviewed age paper, where we use age-specific mobility data to estimate the epidemic in the USA by accounting for age-specific heterogeneity. All other code is still the same for previous releases. To run this code you need to...

Uploaded on January 25, 2021

5 more version(s) exist for this record

View

January 24, 2021 (v46) Dataset Open Access

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 46 of the dataset. 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 release we have received additional data from our new collaborators, allowing this resource to...

Uploaded on January 24, 2021

46 more version(s) exist for this record

View

January 24, 2021 (v32) Dataset Open Access

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....

Uploaded on January 24, 2021

38 more version(s) exist for this record

View

January 22, 2021 (v2.3.1) Software Open Access

OpenFairViewer: a FAIR, ISO and OGC (meta)data compliant GIS data viewer for browsing, accessing and sharing geo-referenced data

Blondel, Emmanuel

https://github.com/eblondel/OpenFairViewer/releases/tag/2.3.1

Uploaded on January 22, 2021

10 more version(s) exist for this record

View

April 19, 2020 (v2) Software Open Access

COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modelling.

Raimundez, Elba; Dudkin, Erika; Vanhoefer, Jakob; Alamoudi, Emad; Merkt, Simon; Fuhrmann, Lara; Bai, Fan; Hasenauer, Jan

This repository contains the code, models and data used in "COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modelling". The models are available in the PEtab format, as well as the corresponding format for the used tools. The version...

Uploaded on January 22, 2021

1 more version(s) exist for this record

View

October 11, 2020 (v2) Dataset Open Access

"A Simple Model to Predict Future SARS-CoV-2 Infections on a National Level" by Blanco et al. dataset

Merski, Matthew

Raw, original data and fits data set for "A Simple Model to Predict Future SARS-CoV-2 Infections on a National Level" by Blanco et al. in EXCEL and GraphPad Prism file formats and FORTRAN code.

Uploaded on January 21, 2021

1 more version(s) exist for this record

View

January 21, 2021 (vv4.2) Software Open Access

pc4covid19/pc4covid19: Version 4.2: Jupyter notebook (nanoHUB) COVID19 app

Randy Heiland; Paul Macklin

pc4covid19 - COVID19 (SARS-CoV-2) tissue simulator nanoHUB app Version: 4.2 Release date: 20 January 2021 Overview This repository contains code and data for the nanoHUB app https://nanohub.org/tools/pc4covid19. Here, we primarily report on changes to the app's GUI. It is based on the model at...

Uploaded on January 21, 2021

7 more version(s) exist for this record

View

June 8, 2020 (v10) Report Open Access

The Pan-SL-CoV/GD sequences may be from contamination.

Daoyu Zhang

ABSTRACT Recently, There were much hype about an alleged SARS-like coronavirus being found in samples of Malayan pangolins (Manis Javanica) possessing nearly identical RBD to the SARS-CoV-2 coronavirus. Prominent journals cite the alleged discovery to claim that pangolins may be one of a...

Uploaded on January 19, 2021

9 more version(s) exist for this record

Need help?

Zenodo prioritizes all requested related to the COVID-19 outbreak.

We can help with:

Uploading your research data, software, preprints, etc.
One-on-one with Zenodo supporters.
Quota increases beyond our default policy.
Scripts for automated uploading of larger datasets.

Why use Zenodo?

Safe — your research is stored safely for the future in CERN’s Data Centre for as long as CERN exists.
Trusted — built and operated by CERN and OpenAIRE to ensure that everyone can join in Open Science.
Citeable — every upload is assigned a Digital Object Identifier (DOI), to make them citable and trackable.
No waiting time — Uploads are made available online as soon as you hit publish, and your DOI is registered within seconds.
Open or closed — Share e.g. anonymized clinical trial data with only medical professionals via our restricted access mode.
Versioning — Easily update your dataset with our versioning feature.
GitHub integration — Easily preserve your GitHub repository in Zenodo.
Usage statistics — All uploads display standards compliant usage statistics

Featured communities

Coronavirus Disease Research Community - COVID-19

Chicago COVID-19 Response

National COVID Cohort Collaborative (N3C)

COVID-19 Central America

Recent uploads

Emissions changes in 2020 due to Covid19

ocelhay/como: v17.0.2

ImperialCollegeLondon/covid19model: Age groups that sustain resurging COVID-19 epidemics in the United States (peer-reviewed)

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

BIP4COVID19: Impact metrics and indicators for coronavirus related publications

OpenFairViewer: a FAIR, ISO and OGC (meta)data compliant GIS data viewer for browsing, accessing and sharing geo-referenced data

COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modelling.

"A Simple Model to Predict Future SARS-CoV-2 Infections on a National Level" by Blanco et al. dataset

pc4covid19/pc4covid19: Version 4.2: Jupyter notebook (nanoHUB) COVID19 app

The Pan-SL-CoV/GD sequences may be from contamination.

Need help?

Why use Zenodo?

About

Blog

Help

Developers

Contribute