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nicolejkeeney.github.io Public
Forked from yujisatojr/react-portfolio-templateProfessional portfolio
TypeScript Other UpdatedDec 12, 2025 -
Codebase for MS thesis @ Colorado State University. Processing pipeline and analysis code for measuring flood disaster impacts using MODIS satellite imagery, climate data, and EM-DAT disaster records.
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emdat-modis-flood-dataset Public
EM-DAT inland flood events (2000-2024) disaggregated by month and admin1 region, with corresponding MODIS-derived flood statistics for each event.
Python MIT License UpdatedDec 12, 2025 -
flood-dataset-streamlit-app Public
Streamlit app for demoing flood dataset
Python MIT License UpdatedDec 11, 2025 -
archived_nicolejkeeney.github.io Public
Forked from jekyllt/sustain(ARCHIVED) Old version of my professional portfolio
HTML MIT License UpdatedNov 23, 2025 -
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climate-data-science-eval Public
An evaluation of climate data science skills in Python
Jupyter Notebook MIT License UpdatedNov 19, 2024 -
cookiecutter-science-project Public
Forked from jbusecke/cookiecutter-science-projectCookiecutter template for science analysis projects
Python MIT License UpdatedNov 6, 2024 -
geo-py-docker Public
Basic files and instructions for setting up docker container (with JupyterLab) for python projects. Based on pangeo docker workflow
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dust_landuse_analysis Public
Analyzing dust concentration by land use type in coccidioidomycosis endemic regions in the CA Central Valley
HTML GNU General Public License v3.0 UpdatedMay 30, 2023 -
is2-streamlit-app Public
Streamlit web app for displaying ICESat-2 gridded data
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icesat2-book Public
Interactive Jupyter Book for wrangling, visualizing, and analyzing ICESat-2 sea ice thickness data
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Calibration of a wind erosion model using remote sensing-derived vegetation characteristics
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aggregate_gridMET Public
Aggregate gridMET data by census tract
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fluxnet_ESI Public
Using atmospheric humidity deficits to discern soil moisture deficits. Python code repository for Baldocchi et al. (2021)
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read_IMPROVE_data Public
Notebooks for working with IMPROVE aerosol monitor data to (1) derive mean monthly dust concentrations and (2) visualize monitor locations in California using an interactive folium map
Jupyter Notebook UpdatedJul 21, 2021 -
google_drive_python Public
Useful notebooks and instructions for working with google drive and google colab in python
Jupyter Notebook MIT License UpdatedMar 29, 2021 -
prism Public
Download and grid PRISM climate data to an input shapefile
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