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Quercus Pathways LLC – Rooted in Knowledge. Branching towards Discovery. — 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 Science →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
nvdm.org ↗	65 match 1 shared topics	The Discovery \| Hands-on Science Museum in Downtown Reno, NV	en	science WordPress	robotsllmsaihumans	emailphone	none
4d-workshop.net ↗	64 match 1 shared topics	4D Workshop > Unveiling Earth's Evolution through Data-Driven Discovery Across Deep Time 2026	en	science WordPress	robotsllmsaihumans	emailphone	none
humanknowledge.net ↗	64 match 1 shared topics	Cover: Human Knowledge: Foundations and Limits	en	science	robotsllmsaihumans	emailphone	none
100rss.com ↗	64 match 1 shared topics	Shocking facts, discoveries, inventions • Sensation!	en	science WordPress	robotsllmsaihumans	emailphone	none
home-biology.eu ↗	64 match 1 shared topics	Electrosmog knowledge database, electromagnetic field meters, radiation shielding and protection guides	European Union en	science Joomla	robotsllmsaihumans	emailphone	none
cas.org ↗	64 match 1 shared topics	Empowering Innovation & Scientific Discoveries \| CAS	United States~ en	science	robots llmsaihumans	email phone	none
randomfactgen.com ↗	64 match 1 shared topics	Random Fact Generator — Discover Surprising Facts Instantly	en	science	robotsllmsaihumans	emailphone	partial · 8
emergentknowledge.co.uk ↗	64 match 1 shared topics	start - Emergent Knowledge	United Kingdom en	science	robotsllmsaihumans	emailphone	none
discoveroceanography.co.uk ↗	63 match 1 shared topics	Discover Oceanography \| University of Southampton	United Kingdom en	science	robotsllmsaihumans	emailphone	none
chandradeep.com ↗	63 match 1 shared topics	Chandradeep - web store for science & knowledge	en	science OpenCart	robotsllmsaihumans	emailphone	none
qsrx.cloud ↗	63 match 1 shared topics	QuasarX - Unified Scientific Knowledge	en	science	robotsllmsaihumans	emailphone	none
oceandiscoveryinstitute.org ↗	63 match 1 shared topics	Ocean Discovery Institute – Young Lives Transformed Through Science	en	science WordPress WooCommerce	robotsllmsaihumans	emailphone	none
oceandiscoveryinstitute.com ↗	63 match 1 shared topics	Ocean Discovery Institute – Young Lives Transformed Through Science	en	science WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mint-project.info ↗	63 match 1 shared topics	MINT – Model Integration through Knowledge-Rich Data and Process Composition	en	science	robotsllmsaihumans	emailphone	none
phylosiadiscovery.com ↗	63 match 1 shared topics	Explore Phylosia Discovery: History, Science, and Digital Products \| Phylosia Discovery	en	science	robotsllmsaihumans	emailphone	none
discoveringfossils.co.uk ↗	63 match 1 shared topics	Discovering Fossils - Introducing the Palaeontology of Great Britain	United Kingdom en	science WordPress	robots llmsaihumans	emailphone	none
epsrc.ac.uk ↗	63 match 1 shared topics	Engineering and Physical Sciences Research Council (EPSRC) – UKRI	United Kingdom en	science WordPress	robotsllmsaihumans	emailphone	none
mcdonnellinitiativeatmbl.com ↗	63 match 1 shared topics	McDonnell Initiative @MBL – Transforming discovery through collaborations among historians, philosophers, and life scientists	en	science WordPress 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.