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.
visualization of iNaturalist data (https://fischhoff.shinyapps.io/shiny_test/)
Flashcard web app for naturalists, powered by iNaturalist.
inaturalist observations in a flexdashboard
This python script will help to query image by name from iNaturalist. PS: Add the proper citation from GBIF
Trying out the FFCV library with CIFAR10, iNaturalist 2018, etc. using configurations from AAAI2021 paper Bag of Tricks
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.
iNaturalist observation map for casual birders and critter enjoyers
tool to map out weather/location data for given species from inaturalist
An R script to download data from an iNaturalist project that was conducted as a bioblitz, and to create a slideshow that presents a variety of basic data exploration charts and maps
A Django-based web app for plant enthusiasts, gardeners, farmers, orchadists, and everyone else! Users can edit, comment, and create their own designs and plantings. Crowd-sourced plant data. 🌱
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