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International Barcode of Life – Illuminate Biodiversity — 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
internationalwildlifeservices.com ↗	67 match 1 shared topics	International Wildlife Services – Tracking Wildlife	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
intjdevbiol.com ↗	67 match 1 shared topics	The International Journal of Developmental Biology	en	biological-sciences	robotsllmsaihumans	emailphone	none
invertebratelab.com ↗	66 match 1 shared topics	Invertebrate Systematics and Biodiversity Lab	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
cbiores.com ↗	65 match 1 shared topics	Life in Computational Biology – Biology in motion	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
1000rivers.net ↗	64 match 1 shared topics	International fish edna project – Combining citizen science with eDNA to survey river fish communities	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
garcia-pichellab.com ↗	64 match 1 shared topics	Garcia-Pichel Lab – ASU School of Life Sciences	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
atillalab.org ↗	64 match 1 shared topics	Atilla Lab – at the University at Buffalo	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	full · 12
internet-ecuador.com ↗	64 match 1 shared topics	BioBanco - Sistema abierto de información de biodiversidad del Ecuador	en	biological-sciences	robotsllmsaihumans	emailphone	none
atyszka.org ↗	64 match 1 shared topics	Alexa Tyszka \| University of Illinois, Chicago	en	biological-sciences	robotsllmsaihumans	emailphone	none
eladl.net ↗	63 match 1 shared topics	Mansoura University Culture Collection	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
asuvalgae.com ↗	63 match 1 shared topics	Symbiotic Algal collection from the University of Valencia	en	biological-sciences	robotsllmsaihumans	email phone	none
providencepollinators.com ↗	63 match 1 shared topics	Providence Pollinator Lab – Insect pollinator nutritional & behavioral ecology	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
hrrysprk.com ↗	63 match 1 shared topics	Harpreet Singh — Computational Biology × Data Science × Visualization	en	biological-sciences	robotsllmsaihumans	emailphone	none
volkerbahn.com ↗	63 match 1 shared topics	Volker Bahn \| people.wright.edu \| Wright State University	United States~ en	biological-sciences Drupal	robotsllmsaihumans	email phone	none
internetome.com ↗	63 match 1 shared topics	Facets of the Internetome	en	biological-sciences	robotsllmsaihumans	emailphone	none
protein-biophysics.com ↗	63 match 1 shared topics	The interface of protein structure, protein biophysics, and molecular evolution – My Research Blog	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
hornerlabcsusb.org ↗	62 match 1 shared topics	Horner Lab @ CSU San Bernardino \| Functional Morphology and Biomechanics	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
vramananjato.com ↗	62 match 1 shared topics	Veronarindra Ramananjato – Ph.D. \| Integrative Biology	en	biological-sciences WordPress	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.