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Version: 3.1
\nRelease date: 3 July 2020
\nOverview\nThis repository contains code and data for the nanoHUB app https://nanohub.org/tools/pc4covid19.\nHere, we primarily report on changes to the app's GUI.
\nIt is based on the model at https://github.com/pc4covid19/COVID19. Refer to that repository\nfor a summary of changes to the model.
\nCaveats and disclaimers:\nThis model is under active development using rapid prototyping:
\nThis model will be continually refined with input from the community, particularly experts in infectious diseases. The validation state will be updated as this progresses.
\nRelease summary:\n3.1:\nMinor updates to About
text, e.g., explaining nature of stochastic results. Edits to immune_submodels.cpp
(see details in the core model repository).
The major change to the GUI in this release is the addition of a 'Cell Types' tab.\nThis allows editing parameters associated with <cell_definitions>
in the configuration file.
This version also includes a <style>
block in the Jupyter notebook that fixed an unwanted scrollbar in the lengthy About
tab.
The major change to the GUI in this release is the addition of an 'Animate' tab.\nThis allows animation of cells (not substrates) in the tab and the generation of a .mp4\nvideo that can be downloaded. The animation uses the cells' SVG files.
\n1.0:\nProvides a \"standard\" PhysiCell-based Jupyter notebook GUI consisting of 5 tabs:
\nThe Coronavirus Disease Research Community - COVID-19 is curated by a selected team of experts nominated by OpenAIRE* (see list below). Each time a Zenodo user wants to add a record into the community, an email is sent to the curators that will decide whether to include the record or not.
\r\n\r\nOnly records that may be relevant to the Corona Virus Disease (COVID-19) or the SARS-CoV-2 should be included in this community. The Community curators are not able to edit records, therefore they may ask the corresponding authors to modify the record metadata when necessary, to provide the readers/users with more detailed information according to the FAIR principle of Open Science.
\r\n\r\nIf after its acceptance, a record is subsequently found not to be compliant, we reserve the right to remove it from the community.
\r\n\r\nThe curation team is reachable through the following email address for further clarification or information: covid19@openaire.eu.
\r\n\r\nCurator List:
\r\n\r\n* OpenAIRE: open access and open science training and support since 2009. OpenAIRE is the largest aggregator of European Commission funded research outputs and beyond, also delivering on-demand services for research communities.
\r\n", "page": "This community collects research outputs that may be relevant to the Coronavirus Disease (COVID-19) or the SARS-CoV-2. Scientists are encouraged to upload their outcome in this collection to facilitate sharing and discovery of information. Although Open Access articles and datasets are recommended, also closed and restricted access material are accepted. All types of research outputs can be included in this Community (Publication, Poster, Presentation, Dataset, Image, Video/Audio, Software, Lesson, Other).
\r\n\r\nThe recent Corona Virus Disease (COVID-19) outbreak is requiring unseen efforts of collaboration of the scientific community that need to act fast and to share results in an unpredictable manner. In order to facilitate the Scientist efforts, this community was created to collect all research results that could be relevant for the scientific community working on the Corona Virus Disease (COVID-19) and SARS-CoV-2.
\r\n\r\nAlthough Open Access articles and datasets are recommended, also closed and restricted access material are accepted. All types of research outputs can be included in this Community (Publication, Poster, Presentation, Dataset, Image, Video/Audio, Software, Lesson, Other).
\r\n\r\nWhen depositing a resource that is linked to other resources (not limited to the records deposited in Zenodo but also in other repositories), please make sure that your record is linked to all the other related elements already available, in order to adhere to the FAIR principles of Open Science to maximise the reusability of research results.
\r\n\r\n", "title": "Coronavirus Disease Research Community - COVID-19" }, "revision_id": 0, "slug": "covid-19", "updated": "2021-02-23T14:39:53.029415+00:00" } ], "ids": [ "10f33f78-3f29-41b6-bb10-f757a8f03cb8" ] }, "id": "3750175", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.3750175", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.3929960", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:3929960", "provider": "oai" } }, "revision_id": 8, "stats": { "all_versions": { "data_volume": 76363046.0, "downloads": 170, "unique_downloads": 162, "unique_views": 3304, "views": 3807 }, "this_version": { "data_volume": 8605128.0, "downloads": 21, "unique_downloads": 19, "unique_views": 232, "views": 287 } }, "status": "published", "updated": "2021-11-03T23:34:07.973968+00:00", "versions": { "index": 4, "is_latest": false } }