Danish (Q)SAR-database

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Provided by Rigsarkivet

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Dataset information

Catalog

Rigsarkivet catalog

Country of origin

Denmark

Updated

2026.04.10 02:34

Created

2026.03.03

Available languages

English

Keywords

Forskningsaktiviteter på universiteter, miljø, Videnskab og teknologi, Miljøbeskyttelse, Miljø, Universitetsforskning, Forskning, Kemiske stoffer

Datasource

Official portal for European data link

Quality scoring

Dataset description

Databasen indeholder matematiske modeller - eller computer-forudsigelser (QSAR forudsigelser) - for forskellige egenskaber af kemiske stoffer, herunder toksiske effekter, som kan anvendes i vurderinger af kemiske stoffer/kemikalier. Formålet er at give miljømyndigheder, forskere og industri et redskab til at vurdere farligheden af stofferne på en enkelt og ikke alt for dyr måde. Mange af stofferne er ikke vurderet på andre måder. Databasen indeholder QSAR forudsigelser for 165.000 kemiske stoffer for mere end 70 egenskaber/effekter på dyr, mennesker og miljø tilgængelige. Data bruges bl.a. af Miljøstyrelsen, forskere i hele verden og af kemiske industrivirksomheder.

European data infrastructure with broad catalog discovery, free evaluation access and production-grade API options.

190K+

indexed dataset pages

countries and EU institutions

2019

API-first since

Free API quota

for evaluation and prototypes

SLA

history and push on production APIs

FAQ

Questions before production use

Practical answers on evaluation, licensing, freshness, versioning and support.

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Yes. Selected APIs include a free API quota, so your team can validate coverage, freshness, response shape and workflow fit before asking for a production plan.

Often yes, but usage rights depend on the source license and dataset. We surface source, license and update metadata where available, and can help review terms before a production integration.

Maintained APIs include update metadata where available. For production integrations, we can add history, monitoring and push updates so changes are easier to detect and act on.

Production APIs can add SLA, stable identifiers, versioning support, history, push updates and direct support around the data your product or AI workflow depends on.

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