InGeO News
Resen can now be installed via pip! To install the latest version of Resen, you can simply run:
pip install resen
For more information, you can see the PyPi project page here: https://pypi.org/project/resen/
Today we release a minor maintenance and bugfix version of resen: version 2021.1.0! This version of Resen fixes an OS-dependent problem with downloading cores and enables Resen to be compatible with resen-core v2021.1.0.
This version of Resen can be installed with:
pip install git+https://github...
The newest version of resen-core, version 2021.1.0, has been released! This version includes new packages and updated documentation. Most notably, jupyterlab has been upgraded to version 3.
The newest version of resen-core can be used with resen by running the update command in the resen shell.
V...
Today we release a minor bugfix version of resen: version 2020.2.1! This version of Resen fixes an issue with the update command and adds documentation about how to use the update command.
This version of Resen can be installed with:
pip install git+https://github.com/EarthCubeInGeo/resen.git@v2...
The newest version of resen-core, version 2020.2.0, has been released! This version includes bugfixes and updated documentation. Most notably, python 2.7 has been deprecated and python 3 has been upgraded from 3.6 to 3.8.
The newest version of resen-core can be used with resen by running the updat...
Resen version 2020.2.0 has been released! This version of Resen includes bugfixes and updated documentation. Notably, the list of available resen-cores can now be updated within resen using the new update command. When we release a new version of resen-core, it can be made available to use in resen...
Resen version 2020.1.0 has been released! This version of Resen includes bugfixes and updated documentation. We also updated resen-core, including new packages, updating existing packages, and adding documentation via readthedocs.
This version of Resen can be installed with:
pip install git+http...The InGeO team has prepared a video presentation for the 2020 CEDAR Virtual Workshop next week for the Science Highlight session.
The video is available here to watch here: https://youtu.be/TZAOJYstIM0
Check out other Science Highlights here!
Mangopy v0.1 has been released! Mangopy is a python package to access and work with data from the MANGO network. It can be installed from GitHub (https://github.com/astib/MANGO).
Announcing the pre-release of MIVIT v0.1! MIVIT is a Mulit-Instrument Visualization Toolkit, designed to help researchers visualize mulitiple spatial data sets simultaniously. MIVIT can be accessed through GitHub (https://github.com/EarthCubeInGeo/MIVIT).
Members of InGeO are attending the 2019 CEDAR Workshop this week in Santa Fe, NM. On Monday June 17, two presentations will be given in the Python for Space Science workshop. One presentation will introduce resen to the community. The other presentation will introduce MIVIT.
InGeO is also ho...
Resen version 2019.1.1 has been released! This version of Resen should include all functionality to create and work in resen buckets, as well as importing and exporting buckets.
See the new version on the Resen github page. This version of Resen can be installed with
pip install git+https://...Many members of the InGeO team are at the AGU 2019 Fall meeting. If you see us, please stop and say hello!
Resen Demo at the EarthCube Booth
We will be demonstrating Resen Wednesday morning from 10:30 - 12:00 at the EarthCube booth in the exhibit hall. Stop by booth 510 to try out the system...
The second tutorial, a short guide on navigating the Resen Online system, is now posted. Check it out!
We have planned a series of 3 webinars covering Resen online, reproducibility in geospace sciences, and using Resen locally to create computationally reproducible results. These webinars will be especially useful for students who are beginning in the field and experienced scientists looking to get...
Resen and resen-core v2019.1.0rc2 pre-release are now available!
resen source: https://github.com/EarthCubeInGeo/resen.git docs: https://resen.readthedocs.io/en/latest/
resen-core source: https://github.com/EarthCubeInGeo/resen-core dockerhub: https://hub.docker.com/r/earthcubeingeo/resen-core...
The InGeO team has published an article in the Journal of Space Weather and Space Climate's (JSWSC) topical issue, Space Weather research in the Digital Age and across the full data lifecycle. The article focuses on computational reproducability in geospace science and on using Resen to produce rep...
Today we started a YouTube channel where we will be posting short video tutorials on how to use Resen and Resen Online. We also plan to provide some video guides on best practices for computational reproducibility.
Check out the first video tutorial: Resen Online: How to Sign Up
The InGeO website has been launched! This site will have information and updates about the InGeO project. It also has information about best practices for geospace research, in particular things you can to ensure your work is reproducible.