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||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (firstname.lastname@example.org) to determine if accessing this resource is possible.|
|Resource type:||Composite Resource|
|Storage:||The size of this resource is 14.4 KB|
|Created:||Mar 04, 2019 at 3:39 a.m.|
|Last updated:|| Mar 05, 2019 at 9:23 p.m.
|Citation:||See how to cite this resource|
|+1 Votes:||Be the first one to this.|
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In an effort to improve access and use of data archived across multiple hydroshare resources, this Jupyter notebook was developed to use the HydroShare REST API client python library utilities to simplify data access steps.
|The content of this resource is derived from||https://www.hydroshare.org/resource/0a613cda3ce34454ba6cacfc2c2d530d/|
|Title||Owners||Sharing Status||My Permission|
|Hurricane Maria 2017 Collection||Christina Bandaragoda · Graciela Ramirez-Toro||Public & Shareable||Open Access|
|Hurricane Maria 2017 Collection||Nathan Kim||Private & Shareable||None|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|National Science Foundation||Building Infrastructure to Prevent Disasters like Hurricane Maria||1810647|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/