Global Inventory List

The Global Biodata Coalition Inventory is a living record of biodata resources from
around the world—databases, knowledgebases, and repositories that collect, curate,
preserve, and share biological data openly and responsibly. It provides a unique overview of
the global biodata ecosystem and underpins our work on impact, interdependence, and
sustainability.

The inventory makes use of open bibliometric data, available from Europe PMC, to identify
resources through associated articles published by resource owners to alert the broader
scientific community about the availability and utility of the biodata resource. If you published
a paper that describes a biodata resource, you should find your resource named in our
inventory. If you’d like to know more about the inventory, see the Global Inventory page.

Can’t find your resource? Email us at .

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PltRNAdb

(Plant transfer RNA database)

PMBD

(Plastics Microbial Biodegradation Database)

PmiREN

(Plant miRNA Encyclopedia)

PMKB

(Precision Medicine Knowledge Base)

PMP

(Protein Model Portal)

PMS_DN

(Phelan-McDermid syndrome data network)

PMTED

(Plant MiRNA Target Expression Database)

PNRD

(plant ncRNA database)

PODB

(Plant Organelles Database)

PODC

(Plant Omics Data Center)

POGD

(Poaceae orphan genes database)

POGs2

(Putative orthologous Groups 2 Database)

PolymiRTS

(polymorphism in microRNA target site)

porcine translational research database

(porcine translational research database)

PoSSuM

(PoSSuM drug search)

PPD

(Plasma Proteome Database)

PPDB

(Plant Promoter Database)

PPGD

(persalinus genome database)

PPIM

(Protein-Protein Interaction Database for Maize)

PPInS

(Protein-Protein Interaction Sitesbase)

PPMdb

(PlantPathMarks)

PPTdb

(Pathogenic Protist Transmembranome database)

PpTFDB

(Pigeonpea Transcription Factors Database)

PR(2

(Protist Ribosomal Reference database)

PRDB

(Protein Tandem Repeat DataBase)

Predicted Arabidopsis Interactome Resource

(Predicted Arabidopsis Interactome Resource)

Predicted Endogenous Viral Elements

(Predicted Endogenous Viral Elements)