microbial-richness-troposphere
Accompanying code for the manuscript "Microbial species richness in tropospheric samples above the planetary boundary layer confirms hundreds of Km long-distance transport of potential human pathogens"
Science Score: 67.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
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○Scientific vocabulary similarity
Low similarity (9.7%) to scientific vocabulary
Repository
Accompanying code for the manuscript "Microbial species richness in tropospheric samples above the planetary boundary layer confirms hundreds of Km long-distance transport of potential human pathogens"
Basic Info
- Host: GitHub
- Owner: AirLabBcn
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://airlabbcn.github.io/microbial-richness-troposphere/
- Size: 78.5 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Microbial richness and air chemistry in aerosols above the PBL confirm 2,000-km long-distance transport of potential human pathogens
This repository holds the data and code for the analysis of the manuscript "Microbial richness and air chemistry in aerosols above the PBL confirm 2000-km long-distance transport of potential human pathogens", now published in PNAS.
To reproduce the environment used in this analysis, you can use the environment.yml file to create a conda environment with all the necessary packages. To do so, run the following command:
bash
conda env create -f environment.yml
The different data sources can be found in the data folder. The code and script used to generate the analysis and figures can be found in the different .ipynb files in the project directory.
The main notebook is project/microbial_diversity_analysis.ipynb, with the code generating most of the analysis and figures of the manuscript. It is too large to be rendered on GitHub so either clone the repo and explore it locally or go to the Quarto render of the projects's notebooks hosted in the Github Pages of this repository here.
Owner
- Name: AIRLAB
- Login: AirLabBcn
- Kind: organization
- Email: silvia.borras@isglobal.org
- Location: Spain
- Website: https://ginys.cerca.cat/en/facility/airlab/
- Repositories: 2
- Profile: https://github.com/AirLabBcn
The AIRLAB is dedicated to the characterisation of the chemical and biological composition of the air and its effects on human health.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Rodó" given-names: "Xavier" orcid: "https://orcid.org/0000-0003-4843-6180" - family-names: "Pozdniakova" given-names: "Sofya" orcid: "https://orcid.org/0000-0001-5849-1787" - family-names: "Borràs" given-names: "Sílvia" orcid: "https://orcid.org/0000-0002-0331-0720" - family-names: "Fontal" given-names: "Alejandro" orcid: "https://orcid.org/0000-0003-1138-2158" title: "Microbial richness and air chemistry in aerosols above the PBL confirm 2,000-km long-distance transport of potential human pathogens" version: 1.0.0 doi: https://zenodo.org/doi/10.5281/zenodo.13270671 date-released: 2024-08-08 url: "https://github.com/airlabbcn/microbial-richness-troposphere"
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Dependencies
- actions/checkout v3 composite
- actions/setup-python v1 composite
- peaceiris/actions-gh-pages v3.9.0 composite
- quarto-dev/quarto-actions/render v2 composite
- quarto-dev/quarto-actions/setup v2 composite
- bs4 *
- geopandas
- numpy
- pandas
- plotnine
- scikit-bio
- scikit-learn
- scipy
- statsmodels