This is a repo for the data scraped using the scrape_oryx.R program. Updated daily at 22:30 EDT/EST

A simple R script for extracting tabular data from Oryx' excellent post detailing materiel lost by all sides in the [Russian invasion of Ukraine](https://www.oryxspioenkop.com/2022/02/attack-on-europe-documenting-equipment.html).

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A simple tool to analyse data about users' layouts from Oryx

Webscraping and analysis of Oryx's Attack On Europe: Documenting Equipment Losses During The 2022 Russian Invasion Of Ukraine data

War Track is an API project offering comprehensive data on war-related losses in the Russia-Ukraine conflict, sourced from Oryx, with endpoints for equipment and system statistics.

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Scraping data from oryx, adding dates, and visualizing the data. Read the README

A graphical data parser to explore Oryx data for the Russia-Ukraine war

Code developed for analyzing the Scimitar-horned oryx fecal glucocorticoid data

A data pipeline that scrapes the open-source intelligence website Oryx for RU and UA vehicle losses.

Analyze loss data from Oryx for the War in Ukraine from 2022 to 2024 using C# and Python

This project contains the convinient dashboards that allow to compare visually confirmed losses incurred durning Second Russo-Ukrainian War (2022). Data source is Oryx Blogpost (see more in README.txt)

Get real-time insights on Ukraine's ongoing war. Utilizing data from Oryx, it visualizes equipment and system losses through charts, providing a clear understanding of the conflict's dynamics. Stay informed and explore the impact of the war with ease.

Oryx is an expert in oil product demand and supply rates in the UAE. It offers unparalleled insight into the UAE's oil and gas industry, spanning from its inception in 1973 to its current prominence, providing users with comprehensive historical data and predictive analysis.

Workflow of the article "Habitat destruction threatens jaguars in a mixed land use region of eastern Bolivia" published in Oryx (http://dx.doi.org/10.32942/X20W2B) - Estimating Jaguar Density using spatially explicit capture recapture models from camera trapping data and identifying threats to their population.