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DataFerry - Advanced Lake Monitoring & Water Quality Detection — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Environment →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
catherineandchannellakes.org ↗	68 match 1 shared topics	Friends of Catherine and Channel Lakes – Focused on improving water quality in the lakes	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
e4g.org.uk ↗	67 match 1 shared topics	E4G Monitoring & Evaluation	United Kingdom en	environment WordPress	robotsllmsaihumans	emailphone	none
brain-ellis.be ↗	67 match 1 shared topics	Home - ELLIS // Monitoring and Mitigating Environmental Health Inequalities	Belgium en	environment Joomla	robotsllmsaihumans	emailphone	none
floridahealthybeaches.com ↗	67 match 1 shared topics	Florida Healthy Beaches \| Water Quality, Advisories, and Beach Safety	en	environment	robotsllmsaihumans	emailphone	none
leclakedata.org ↗	67 match 1 shared topics	Western Lake Erie Monitoring Program	en	environment	robotsllmsaihumans	emailphone	none
cyanos.org ↗	66 match 1 shared topics	Cyanobacteria Monitoring Collaborative – Monitoring Cyanobacteria in Lakes	en	environment WordPress	robotsllmsaihumans	emailphone	none
mcerts.net ↗	66 match 1 shared topics	Monitoring emissions to air, land and water (MCERTS) - GOV.UK	en	environment	robotsllmsaihumans	emailphone	none
eco-sphere.co ↗	66 match 1 shared topics	EcoSphere - Environmental Monitoring Platform	Colombia en	environment	robotsllmsaihumans	emailphone	none
flow-mer.com.au ↗	66 match 1 shared topics	The Flow - Monitoring, Evaluation and Research Program	Australia en	environment	robotsllmsaihumans	emailphone	none
flow-mer.org.au ↗	66 match 1 shared topics	The Flow - Monitoring, Evaluation and Research Program	Australia en	environment	robotsllmsaihumans	emailphone	none
mcoascience.org ↗	66 match 1 shared topics	Maine Coastal Observing Alliance – Citizen scientists monitoring Maine's coastal waters	en	environment WordPress	robotsllmsaihumans	emailphone	none
environmental-protection.org.uk ↗	66 match 1 shared topics	Environmental Protection UK \| Air Quality & Environmental Policy	United Kingdom en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
curemnriver.org ↗	66 match 1 shared topics	CURE \| Protecting & Restoring the Minnesota River	United States~ en	environment	robotsllmsaihumans	emailphone	none
daydreamoddities.com ↗	65 match 1 shared topics	Why Remote Monitoring Is Key for Australia’s Biodiversity Conservation \| Day Dream Oddities	Australia~ en	environment	robotsllmsaihumans	emailphone	partial · 1
millelacswatershed.org ↗	65 match 1 shared topics	Welcome - Mille Lacs Lake Watershed Group	en	environment WordPress	robotsllmsaihumans	emailphone	none
currentsight.com ↗	65 match 1 shared topics	Current Sight — Aquatic Conservation Technology	en	environment	robotsllmsaihumans	emailphone	none
silversageeco.com ↗	65 match 1 shared topics	Surveying & Monitoring Nevada's Ecosystems \| Silver Sage Eco	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cavern.org ↗	65 match 1 shared topics	Protecting Caves, Karstlands and Groundwater - American Cave Conservation Assoc.	en	environment Weebly WooCommerce	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.