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crvernon authored May 2, 2023
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220 changes: 220 additions & 0 deletions .gitignore
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# sys files
.DS_Store

# -----------------
# ---- PYTHON -----
# -----------------

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
.python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# -----------
# ---- R ----
# -----------

# ignore path
/bak

# Compiled Object files
*.slo
*.lo
*.o
*.obj

# make dependency files
*.d
# emacs backup files
*~
# Compiled Dynamic libraries
*.so
*.dylib
*.dll
# Compiled Static libraries
*.lai
*.la
*.a
*.lib
# Executables
*.exe
*.out
*.app
src/hector
src/hector-ext
src/hector-api
# Hector logs
logs/*.*
*.log
# OS-specific files
.DS_Store
.Trashes
*.swp
# Xcode build directories, schemes, and interface state
*.lock
*.xccheckout
*~.nib
build/
DerivedData/
xcodeuserstate
xcuserdata
project.xcworkspace/
# Project files
project_files/*.*
Release
ipch
Run Test Cases
Debug
libs
project_files/visual_studio/
project_files/VS/*.*
libs/
*.kdev4
*.sdf
*.suo
# Output
output/output*
# R
.Rhistory
R/batchrunner/*.pdf
R/batchrunner/*.csv
.Rapp.history
.Rproj.user
.RData
inst/doc
vignettes/rsconnect


# vignette caches
/vignettes/*_cache

# Rstudio connect files
rsconnect
inst/shinyApp/temp.ini
inst/shinyApp/test.ini
packrat/lib*/
25 changes: 25 additions & 0 deletions LICENSE
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BSD 2-Clause License

Copyright (c) 2020, Joint Global Change Research Institute
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
41 changes: 41 additions & 0 deletions README.md
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[![DOI](https://zenodo.org/badge/265119113.svg)](https://zenodo.org/badge/latestdoi/265119113)

# metarepo
Template repository for a single point of access meta-repository to reproduce an experiment

## Purpose
A meta-repository creates a single point of access for someone to find all of the components that were used to create a published work for the purpose of reproducibility. This repository should contain references to all minted data and software as well as house any ancillary code used to transform the source data, create figures for your publication, conduct the experiment, and / or execute the contributing software.

## Using the template
Simply click `Use this template` on the main repository page (shows up to the left of `Clone or download`) and fill in your `Repository name`, the `Description`, select whether you want the repository to be `Public` or `Private`, and leave `Include all branches` unchecked.

## Naming your meta-repository
The following naming conventions should be used when naming your repository:
- Single author: `lastname_year_journal`
- Multi author: `lastname-etal_year_journal`
- Multiple publications in the same journal: `lastname-etal_year-letter_journal` (e.g., `human-etal_2020-b_nature`)

## Customize your `.gitignore` file
A general `.gitignore` for use with Python or R development is included. However, you may wish to customize this to the needs of your project. The `.gitignore` file lets Git know what to push to the remote repository and what needs to be ignored and stay local.

## Suggestions
- Don't bog down your repository with a bunch of raw data. Instead archive and mint a DOI for your data and provide the reference in this repository with instructions for use.
- Create complete and tested documentation for how to use what is in this repository to reproduce your experiment.

## Creating a minted release for your meta-repository
It is important to version and release your meta-repository as well due to changes that may occur during the publication review process. If you do not know how to conduct a release on GitHub when linked with Zenodo, please contact chris.vernon@pnnl.gov to get set up.

## The meta-repository markdown template
A sample meta-repository template is provided in this repository in the file `metarepo_template.md`.

To use it, do the following:
1. Create the template repository as mentioned above in [Using the template](#using-the-template)
2. Clone your new repository to you local machine
3. Change directories into your new meta-repository directory you just cloned
4. Run `git rm README.md` to delete this file (`README.md`) and commit it using `git commit -m 'remove instructions'`
5. Rename `metarepo_template.md` as `README.md`
6. Run `git add README.md` to stage the new file that will show up on load in your remote GitHub repository
7. Run `git rm metarepo_template.md` to remove the original template
8. Run `git commit -m 'set up new template as readme'` to set the changes
9. Run `git push` to send the changes to your remote GitHub repository
10. Modify the `README.md` file to represent your experiement and use the `add`, `commit`, `push` workflow to update your remote repository
1 change: 1 addition & 0 deletions figures/README.md
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## This is the directory to place scripts or instructions in for recreating the figures that are represented in your publication
72 changes: 72 additions & 0 deletions metarepo_template.md
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_your zenodo badge here_

# lastname-etal_year_journal

**A long-term global energy-economic model of carbon dioxide release from fossil fuel use**

Jae Edmonds<sup>1\*</sup> and John Reilly<sup>1</sup>

<sup>1 </sup> Institute for Energy Analysis, Oak Ridge Associated Universities, 1346 Connecticut Avenue, NW, Washington, DC 20036, USA

\* corresponding author: email@myorg.gov

## Abstract
In this paper the authors develop a long-term global energy-economic model which is capable of assessing alternative energy evolutions over periods of up to 100 years. The authors have sought to construct the model so that it can perform its assigned task with as simple a modelling system as possible. The model structure is fully documented and a brief summary of results is given.

## Journal reference
Edmonds, J., & Reilly, J. (1983). A long-term global energy-economic model of carbon dioxide release from fossil fuel use. Energy Economics, 5(2), 74-88. DOI: https://doi.org/10.1016/0140-9883(83)90014-2

## Code reference
References for each minted software release for all code involved.

These are generated by Zenodo automatically when conducting a release when Zenodo has been linked to your GitHub repository. The Zenodo references are built by setting the author order in order of contribution to the code using the author's GitHub user name. This citation can, and likely should, be edited without altering the DOI.

If you have modified a codebase that is outside of a formal release, and the modifications are not planned on being merged back into a version, fork the parent repository and add a `.<shortname>` to the version number of the parent and construct your own name. For example, `v1.2.5.hydro`.

Human, I.M. (2021, April 14). Project/repo:v0.1.0 (Version v0.1.0). Zenodo. http://doi.org/some-doi-number/zenodo.7777777

## Data reference

### Input data
Reference for each minted data source for your input data. For example:

Human, I.M. (2021). My input dataset name [Data set]. DataHub. https://doi.org/some-doi-number

### Output data
Reference for each minted data source for your output data. For example:

Human, I.M. (2021). My output dataset name [Data set]. DataHub. https://doi.org/some-doi-number

## Contributing modeling software
| Model | Version | Repository Link | DOI |
|-------|---------|-----------------|-----|
| model 1 | version | link to code repository | link to DOI dataset |
| model 2 | version | link to code repository | link to DOI dataset |
| component 1 | version | link to code repository | link to DOI dataset |

## Reproduce my experiement
Fill in detailed info here or link to other documentation that is a thorough walkthrough of how to use what is in this repository to reproduce your experiment.


1. Install the software components required to conduct the experiement from [Contributing modeling software](#contributing-modeling-software)
2. Download and install the supporting input data required to conduct the experiement from [Input data](#input-data)
3. Run the following scripts in the `workflow` directory to re-create this experiment:

| Script Name | Description | How to Run |
| --- | --- | --- |
| `step_one.py` | Script to run the first part of my experiment | `python3 step_one.py -f /path/to/inputdata/file_one.csv` |
| `step_two.py` | Script to run the last part of my experiment | `python3 step_two.py -o /path/to/my/outputdir` |

4. Download and unzip the output data from my experiment [Output data](#output-data)
5. Run the following scripts in the `workflow` directory to compare my outputs to those from the publication

| Script Name | Description | How to Run |
| --- | --- | --- |
| `compare.py` | Script to compare my outputs to the original | `python3 compare.py --orig /path/to/original/data.csv --new /path/to/new/data.csv` |

## Reproduce my figures
Use the scripts found in the `figures` directory to reproduce the figures used in this publication.

| Script Name | Description | How to Run |
| --- | --- | --- |
| `generate_figures.py` | Script to generate my figures | `python3 generate_figures.py -i /path/to/inputs -o /path/to/outuptdir` |
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## This is the directory to place scripts or instructions in for recreating your experiment

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