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basin3d

BASIN-3D Core Framework

  • 1.1.1
  • PyPI
  • Socket score

Maintainers
2

Python package Pypi

basin3d

Broker for Assimilation, Synthesis and Integration of eNvironmental Diverse, Distributed Datasets.

basin3d

BASIN-3D is a software ecosystem that synthesizes diverse earth science data from a variety of remote data sources on-demand, without the need for storing data in a single database. It is designed to parse, translate, and synthesize diverse observations from well-curated repositories into standardized formats for scientific uses such as analysis and visualization.

basin3d is the core BASIN-3D application that uses a generalized data synthesis model that applies across a variety of earth science observation types (hydrology, geochemistry, climate etc.).

basin3d has available plugins that can connect to specific data sources of interest, and map the data source vocabularies to the basin3d synthesis models.

Getting Started

Install

Install a source distribution with pip:

$ pip install basin3d

Make sure your installation was successful:

$ python
>>> import basin3d
>>>

Documentation

See latest basin3d documentation here

Contributing

If you’re interested in contributing to basin3d, check out out our contributing guidelines. It will help explain why, what, and how to get started.

Changelog

See the changelog for a history of updates and changes to basin3d

Authors

  • Charuleka Varadharajan - LBL
  • Valerie Hendrix - LBL
  • Danielle Svehla Christianson - LBL
  • Catherine Wong - LBL

Broker for Assimilation, Synthesis and Integration of eNvironmental Diverse, Distributed Datasets (BASIN-3D) Copyright (c) 2019, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.

If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov.

NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit other to do so.

License

See LICENSE file for licensing details

Acknowledgments

This research is supported as part of the ESS-DIVE repository, the Watershed Function Scientific Focus Area, and a DOE Early Career Project funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under Award no. DE-AC02-05CH11231. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.

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