Pacific Blue Foundation
Supporting community-led conservation, ecosystem restoration, sustainable development, and cultural integrity across Pacific island communities.
Visit Pacific BlueDeep navy, royal blue, bright yellow, pier shadows, and bold ocean energy. This version puts your actual products front and center.
Vintage dive helmets, marine life, and bold embroidered patches with a clean streetwear feel.
Sunset palettes, rolling wave lines, and Scripps Pier product imagery create a stronger brand world.
Flat brims and dad hats that work from the beach to the boat to the street.
The brand is built around bold stitch patterns, sunset color, tridents, waves, dive culture, and Scripps Pier energy. These finished artwork pieces show the design direction behind the current hat collection and future drops.
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Neptune Tide pulls from the coastline itself: drone views, Scripps Pier light, surf lines, dive work, and the way the ocean looks when you spend your life around it.
These are the products available now, with direct Shopify product links.
Neptune Tide is an independent California ocean brand shaped by marine science, coastal culture, and creative design.
Founded by marine biologist and artist Daniel Conley, the brand is for people who see the ocean as more than scenery. It is work, freedom, memory, movement, and inspiration.
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Neptune Tide is built around ocean culture, marine science, and real conservation relationships. These collaborations connect the brand to reef restoration, community stewardship, research, education, and ocean protection.
Supporting community-led conservation, ecosystem restoration, sustainable development, and cultural integrity across Pacific island communities.
Visit Pacific Blue
Partnering with a San Diego ocean conservation and research organization focused on wildlife protection, education, beach cleanups, tours, and shark conservation. The collaboration includes a completed Neptune Tide x Project Kolika design built around the “Be a Protector” message.
Neptune Tide is connected to direct coral reef science through Daniel Conley’s Fiji reef imagery work with Pacific Blue Foundation.
This work uses CoralNet and machine learning to support coral reef image annotation, helping transform large reef photo collections into usable ecological data. The goal is to make reef monitoring faster, more consistent, and more useful for understanding coral cover, benthic communities, and reef condition across Fiji.
Neptune Tide is connected to peer-reviewed research, coral reef methods, photogrammetry, phylogenetics, and the next generation of automated reef image analysis.
A coral methods paper describing a non-destructive photogrammetry workflow for measuring coral surface area through time.
A phylogenetic study exploring the evolutionary history of sound production across spiny lobsters.
A methods-focused paper expanding practical tools for pairing CoralNet workflows with CPCe-based coral reef image analysis.
A review of how coral reef field methods have developed from traditional transects and quadrats to image-based and machine-learning-assisted annotation workflows.
A Fiji reef ecology paper using CoralNet and expert annotation to evaluate depth-related patterns in coral cover and coral diversity around Totoya.
Coral reefs in Fiji’s Lau Province have been hit hard by recent disturbance events, but some atolls still support relatively intact communities. Totoya is one of these reefs of interest, yet detailed, depth resolved information on coral cover and diversity has been limited. In this study I use photo transects from nine reef sites around Totoya, spanning 5–20 m depth, to describe spatial and depth related patterns in live hard coral cover and coral diversity, and to assess the performance of a CoralNet machine-learning annotator.
All images were analyzed independently by a trained human expert and by the CoralNet machine-learning workflow, each using its own set of random points. For both methods I calculated live hard coral cover and three diversity metrics for corals: Shannon–Wiener index, taxonomic richness, and Pielou’s evenness. Results were then averaged at the site by depth level. I compared human and CoralNet estimates of coral cover using paired tests and linear regressions, and examined how strongly diversity metrics were related to total coral cover.
Depth averaged coral cover around Totoya was similar at 5, 10, 15 and 20 m, about 18–20 percent, but site level values were highly variable, ranging from less than 5 percent to more than 40 percent at individual site depth combinations. CoralNet estimates closely matched those of the human expert and reproduced the spatial pattern in cover, though the machine-learning workflow showed a small systematic tendency to overestimate percent cover. Diversity metrics varied among sites and depths, but total coral cover was a weak predictor of community level diversity. Shannon and evenness showed little relationship with cover, and richness increased only modestly with cover and exhibited substantial scatter. These results suggest that machine-learning-assisted annotation is an efficient and accurate way to estimate coral cover around Totoya, but percent cover alone is a poor surrogate for coral diversity and should not be used as the sole indicator of reef condition.
Some people visit the ocean. Others build their life around it. Neptune Tide is for the second group.
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