IN-CORE:Run your scientific analyses that model the impact of natural hazards on a community and the resilience of those communities.
The National Institute of Standards and Technology (NIST) funded the multi-university five-year Center of Excellence for Risk-Based Community Resilience Planning (CoE), headquartered at Colorado State University, to develop the measurement science to support community resilience assessment. Measurement science is implemented on a platform called Interdependent Networked Community Resilience Modeling Environment (IN-CORE). On IN-CORE, users can run scientific analyses that model the impact of natural hazards and resiliency against the impact on communities. The IN-CORE platform is built on a Kubernetes cluster with Docker container technology.
IN-CORE provides:
pyIncore Change log GitHub Conda package
pyIncore-viz Change log GitHub Conda package
Web Services Change log GitHub
Web Tools Change log GitHub
IN-CORE Lab Change log GitHub
Resources:
Manual
pyIncore Reference
Web Service API
Web Tools
Usage:
Access to the IN-CORE service requires a user account provided and operated by the NCSA identity management system. Registering for an account is free and open to everyone. This account gives you access to all of the public data on the system and allows you to create data that is only accessible by you. If applicable, it is recommended that you sign up with your institutional email. To register for an account, please go to:
https://identity.ncsa.illinois.edu/register/BSKC2UKQPU
After you register, you will receive an email to finish your registration process. It requires you to use 2 Factor Authentication(2FA) using Duo for making sure that you are not a bot. The 2FA is only needed during registration and when changing passwords, it’s not required when logging in to IN-CORE services or to use pyIncore.
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