RISProcess | process seismic data recorded on the Ross Ice Shelf
kandi X-RAY | RISProcess Summary
kandi X-RAY | RISProcess Summary
RISProcess is a Python library. RISProcess has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
RISProcess is a Python package designed to download, process, and save seismic data that were collected on the Ross Ice Shelf (RIS), Antarctica, from 2014- 2017. The package is built using Obspy, h5py, and a number of other libraries. This package is used to build the data sets required for the deep embedded clustering project, RISCluster. Details on the clustering project are available in Jenkins et al. Information on the data set can be found at FDSN. The project is documented in Bromirski et al.
RISProcess is a Python package designed to download, process, and save seismic data that were collected on the Ross Ice Shelf (RIS), Antarctica, from 2014- 2017. The package is built using Obspy, h5py, and a number of other libraries. This package is used to build the data sets required for the deep embedded clustering project, RISCluster. Details on the clustering project are available in Jenkins et al. Information on the data set can be found at FDSN. The project is documented in Bromirski et al.
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Support
RISProcess has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
RISProcess has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of RISProcess is current.
Quality
RISProcess has no bugs reported.
Security
RISProcess has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
RISProcess is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
RISProcess releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are available. Examples and code snippets are not available.
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RISProcess Key Features
No Key Features are available at this moment for RISProcess.
RISProcess Examples and Code Snippets
No Code Snippets are available at this moment for RISProcess.
Community Discussions
No Community Discussions are available at this moment for RISProcess.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install RISProcess
Pre-requisites: Anaconda or Miniconda. Tested on MacOS 11.1 and Red Hat Enterprise Linux 7.9. The following steps will set up a Conda environment and install RISProcess.
Open a terminal and navigate to the directory you would like to download the RISProcess.yml environment file.
Save RISProcess.yml to your computer by running the following: a. Mac: curl -LJO https://raw.githubusercontent.com/NeptuneProjects/RISProcess/master/RISProcess.yml b. Linux: wget --no-check-certificate --content-disposition https://raw.githubusercontent.com/NeptuneProjects/RISProcess/master/RISProcess.yml
In terminal, run: conda env create -f RISProcess.yml
Once the environment is set up and the package is installed, activate your environment by running conda activate RISProcess in terminal.
Open a terminal and navigate to the directory you would like to download the RISProcess.yml environment file.
Save RISProcess.yml to your computer by running the following: a. Mac: curl -LJO https://raw.githubusercontent.com/NeptuneProjects/RISProcess/master/RISProcess.yml b. Linux: wget --no-check-certificate --content-disposition https://raw.githubusercontent.com/NeptuneProjects/RISProcess/master/RISProcess.yml
In terminal, run: conda env create -f RISProcess.yml
Once the environment is set up and the package is installed, activate your environment by running conda activate RISProcess in terminal.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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