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FreqFun

Collection of Jupyter notebooks describing paleoclimate workflows for analysis in the frequency domain

https://github.com/LinkedEarth/FreqFun

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.3%) to scientific vocabulary

Keywords

cross-wavelet paleoclimate paleoclimatology spectral-analysis wavelet-analysis
Last synced: 6 months ago · JSON representation ·

Repository

Collection of Jupyter notebooks describing paleoclimate workflows for analysis in the frequency domain

Basic Info
  • Host: GitHub
  • Owner: LinkedEarth
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 38.9 MB
Statistics
  • Stars: 5
  • Watchers: 3
  • Forks: 3
  • Open Issues: 2
  • Releases: 2
Topics
cross-wavelet paleoclimate paleoclimatology spectral-analysis wavelet-analysis
Created almost 6 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

DOI

Fun with analysis in the frequency domain

Motivation

This repository contains several Jupyter notebooks showcasing paleoclimate workflows making use of the frequency domain. Yes, we are talking about spectral, wavelet, and cross-wavelet analysis!

These notebooks are using several repositories maintained by LinkedEarth:

Pyleoclim

Pyleoclim is a Python package geared towards timeseries analysis of time-uncertain data.

PyLiPD

The PyLiPD package directly works with data in the Linked Paleo Data (LiPD) format. The advantage of using LiPD files for paleoclimate studies is that they are standardized, supporting automation of several functionalities.

License

All notebooks herein are provided under an Apache 2.0 license.

Citation

We needn't tell you that making research tools accessible requires time and effort. If you find any of these resources useful and use them in your own research, please do us the kindness of one or more citations. Notebooks in this collection are registered on Zenodo, and associated with a digital object identifier (DOI). A ready-to-use citation is provided on this GitHub repository in APA and BibTex (in the "About" section on the right panel, click on "Cite this repository"). If you use any of the software, please cite them as well. It will make us (and our sponsors) very happy to hear that these investments spawned more research.

Setting up the environment

To setup the environment, run the following commands in the terminal:

``` conda install -n base conda-libmamba-solver conda config --set solver libmamba conda env create -f environment.yml

conda activate freqfun conda install ipykernel
python -m ipykernel install --user --name=freqfun ```

This will create a conda environment named freqfun with all the necessary packages installed. The environment can be activated by running conda activate freqfun.

Note: the commands about ipykernel are necessary to make the environment available in Jupyter notebooks.

Owner

  • Name: LinkedEarth
  • Login: LinkedEarth
  • Kind: organization
  • Email: linkedearth@gmail.com
  • Location: Los Angeles, CA

Citation (CITATION.cff) 

cff-version: 0.0.1.1
message: "If you use this software, please cite it as below."
authors:
  - family-names: "Khider"
    given-names: "Deborah"
    orcid: "https://orcid.org/0000-0001-7501-8430"
  - family-names: "Emile-Geay"
    given-names: "Julien"
    orcid: "https://orcid.org/0000-0001-5920-4751"
  - family-names: "Zhu"
    given-names: "Feng"
    orcid: "https://orcid.org/0000-0002-9969-2953"
  - family-names: "James"
    given-names: "Alexander"
    orcid: "https://orcid.org/0000-0001-8561-3188"
  - family-names: "Landers"
    given-names: "Jordan"
    orcid: "https://orcid.org/0000-0001-9772-7617"
title: "FreqFun: Fun with paleoclimate analysis in the frequency domain"
version: v2.0
doi: 10.5281/zenodo.5771123
date-released: 2022-12-09
url: "https://github.com/LinkedEarth/FreqFun"

GitHub Events

Total
  • Delete event: 1
Last Year
  • Delete event: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 7
  • Total pull requests: 2
  • Average time to close issues: 9 months
  • Average time to close pull requests: about 9 hours
  • Total issue authors: 2
  • Total pull request authors: 2
  • Average comments per issue: 1.86
  • Average comments per pull request: 0.5
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • CommonClimate (6)
  • jordanplanders (1)
Pull Request Authors
  • khider (1)
  • jordanplanders (1)
Top Labels
Issue Labels
High priority (2) documentation (1) enhancement (1)
Pull Request Labels

Dependencies

environment.yml pypi
  • pyleoclim ==0.7.4
  • setuptools ==56.0.0