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Freeling Lab at The University of California, Berkeley – History of the Freeling Lab — 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 Biological Sciences →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
mcewanlab.org ↗	69 match 2 shared topics	The McEwan Laboratory – Forest Ecology at the University of Dayton	en	science WordPress	robotsllmsaihumans	emailphone	none
mitchell-ecology.com ↗	66 match 2 shared topics	Trait-Based Ecology at The University of Arizona – Offical lab website for Rachel Mitchell, University of Arizona	en	science WordPress	robotsllmsaihumans	emailphone	none
kimlabumd.com ↗	66 match 2 shared topics	Kim Lab \| University of Maryland	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mechaplantlab.org ↗	66 match 2 shared topics	MechaPlant Lab – The MechaPlant Lab headed by Yuchen Long in the National University of Singapore	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
moghaddamlab.org ↗	66 match 2 shared topics	Moghaddam Laboratory – Oregon Health & Science University	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
anthro.blog ↗	66 match 2 shared topics	Unveiling the Tapestry of Humanity – Unveiling the Tapestry of Humanity	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
decisioneurolab.com ↗	65 match 2 shared topics	Decision Neuroscience Laboratory, University of new South Wales	en	science Wix	robots llmsaihumans	emailphone	none
gelleslab.org ↗	65 match 2 shared topics	The Little Engine Shop \| Jeff Gelles' lab at Brandeis University	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
abdus-saboorlab.com ↗	65 match 2 shared topics	abdus-saboor laboratory @ columbia university – abdus-saboor laboratory @ columbia university	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mbrydegaard.com ↗	64 match 2 shared topics	Biophotonic Sensing Group – Lund University	en	science WordPress	robotsllmsaihumans	emailphone	none
kimecolab.com ↗	64 match 2 shared topics	The Insect Ecology Lab @ Kansas State University – Plant-insect interactions in human-modified landscapes	United States~ en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
viruspatterns.com ↗	64 match 2 shared topics	Virus, the Beauty of the Beast	en	biological-sciences	robotsllmsaihumans	emailphone	none
ahanaaurorafernandez.org ↗	64 match 2 shared topics	Ahana Aurora Fernandez — Vocal Learning & Ontogeny \| University of Münster	en	biological-sciences	robots llmsaihumans	emailphone	none
geobon.org ↗	64 match 2 shared topics	GEO BON – The Group on Earth Observations Biodiversity Observation Network	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
naeemlab.com ↗	63 match 2 shared topics	Ecology With No Apology \| Naeem-Palmer Lab Group, Columbia University	en	science WordPress WooCommerce	robotsllmsaihumans	email phone	none
ribosomelife.com ↗	63 match 2 shared topics	Ribosome Life \| The Cognitive Map \| An Ocean Between – Origin of protein translation in the RNA world \| Backward-then-forward planning in the cerebrum \| History of constitutional democracy	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mongoliandinosaurs.org ↗	63 match 2 shared topics	Institute for the Study of Mongolian Dinosaurs – Building the future of Mongolian paleontology	en	science WordPress	robotsllmsaihumans	emailphone	none
molalab.org ↗	63 match 2 shared topics	The Mola Lab - The Mola Lab	en	biological-sciences WordPress	robots llmsaihumans	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.