This is the website code for wildcounts.org, a website focused on consistently recording nature to reveal patterns and trends.
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Aug 12, 2024 - HTML
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This is the website code for wildcounts.org, a website focused on consistently recording nature to reveal patterns and trends.
a CLI tool for finding an iNaturalist user's least observed species ("rarest critter")
A tool for planning place and time of biological field works based on iNaturalist observations and weather forecast https://shnayder.shinyapps.io/PlanYourExpedition/
R scripts to create a slideshow of images of species observed during a community bioblitz that has used the iNaturalist platform
Slides for my talk at the 2023 FOSSY conference: "Nature Adventures with Open Source." I talk about the open source tools I use to find & photograph tide pool creatures: OSM, NOAA tide data, iNaturalist, darktable. All materials are licensed CC-BY 4.0 Sage Sharp, with a few exceptions noted in the slides.
Web game using the iNaturalist API to practice your identification skills.
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
visualization of iNaturalist data (https://fischhoff.shinyapps.io/shiny_test/)
Flashcard web app for naturalists, powered by iNaturalist.
A fresh rewrite of iNat2Wiki.
inaturalist observations in a flexdashboard
Scripts used on files from various community science platforms, to study vocalisations in Perisoreus species
This python script will help to query image by name from iNaturalist. PS: Add the proper citation from GBIF
An API for identifying cougars v.s. bobcats v.s. other USA cat species
Trying out the FFCV library with CIFAR10, iNaturalist 2018, etc. using configurations from AAAI2021 paper Bag of Tricks
Introductory lesson to generate range maps for butterfly-host plant interactions and predict distributional shifts using publicly available biodiversity data and data science tools
Analyzing basic network responses to novel classes
AiNaType is an open-source Python project for automated wildlife sign image classification, leveraging YOLO models to identify categories like live animal, dead specimen, scat, and tracks.
Dataset of threatened bird and amphibian species observations in California during breeding and nesting seasons from 2020–2024.
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