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Resources

Open-source tools, protocols, and workflows for ecologists.

Computational Tools

nanodRop (R Package)
  • What it is: A toolkit for reproducible processing of NanoDrop spectral data.

  • Who it's for: Any lab manager or student tired of manual Excel copy-pasting.

  • Status: Published on Zenodo (v0.0.0.9000).

  • [View on GitHub] 

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BioBERT Fungal Trait Extraction
  • What it is: An AI-powered workflow to extract trophic modes (pathogen, saprotroph, etc.) from unstructured literature.

  • Who it's for: Researchers conducting large-scale syntheses or meta-analyses in ecology.

  • Includes: Fine-tuned model weights and Python notebooks.

  • [View Code] | [Read the Paper]

Lab Protocols

Axenic Sorghum Seed Production
  • The Problem: Growing totally sterile Sorghum for microbiome studies is difficult.

  • The Solution: We developed a simple, high-success protocol using common lab reagents.

  • Citation: microPublication Biology (2025).

  • [Download Protocol PDF]

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CUREs Design: Mycology in the Classroom
  • The Resource: Curriculum materials for a Course-Based Undergraduate Research Experience (CURE) that led to student co-authored publications.

  • Includes: Experimental design templates and data analysis guides for undergraduate mycology courses.

  • [Request Materials]

Data Science Education

Carpentries Workshops
  • Resources: Lesson plans workshops on OpenRefine, Introduction to R, and data visualization in R.

  • Reach out if interested in a data science workshop for your group (no experience necessary!)

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