Coral Pale Quokka Lynx is a compact field-logging utility designed for researchers, citizen scientists, and reef enthusiasts who need a simple way to record observations. The app lets you increment and track coral reef observation entries with a session counter, log wildlife sightings such as quokka behaviors with automatic timestamps and a historical list, and monitor water height using an intuitive horizontal slider that displays percentage-based levels. Users can also select species from a predefined registry and move quickly between reef, quokka, tide, and registry modules via a bottom navigation bar, making routine monitoring faster and more consistent.

Key Features

⭐ Coral Pale Quokka Lynx provides an incrementing session counter to create and track coral reef observation log entries.

⭐ Log wildlife sightings for specific quokka behaviors with automated timestamps and a historical list for later review.

⭐ Monitor water height levels with a horizontal slider control that displays values as clear percentages for quick reference.

⭐ Choose and report specific coral or wildlife species from a predefined registry to keep records consistent across sessions.

⭐ Move seamlessly between reef, quokka, tide, and registry modules using a bottom navigation bar for straightforward workflow.

Advantages

✅ Coral Pale Quokka Lynx's session counter streamlines repeated observations and keeps log entries organized by session.

✅ Automated timestamps and a historical list preserve chronological records without extra effort from the user.

✅ Percentage-based height display and a horizontal slider make tide monitoring fast and easy to interpret in the field.

✅ The bottom navigation bar gives quick access to core modules so users can switch context with minimal friction.

Disadvantages

❎ Species reporting is confined to a predefined registry, so observations outside the list may not be recorded as named entries.

❎ The app focuses on four specific modules—reef, quokka, tide, and registry—so it may not cover broader monitoring or specialized datasets.