Sentence examples for data qualified from inspiring English sources

Qualifier data: qualified annotations can be filtered, for example, negative ('NOT') annotations can be removed.

Data qualified as "expected," "estimated," or "projected" refer to species anticipated for an area based upon expert opinion or statistical analyses.

Species richness data qualified as "known," "documented," or "confirmed" refer to species actually collected, sighted, or otherwise known by experts to occur within an area.

An evaluation of the study design undertaken by the Federation of American Societies for Experimental Biology's Protection of Human Subjects Committee determined that the methods for reporting summary data qualified for Institutional Review Board exemption.

It's the same expectation we have of police before they can begin looking through homes and physical papers — and the same expectation that 75percentt of Americans have who believe that email, texts and location data qualify as sensitive information — so why shouldn't that be the standard for online, as well?

This provides experimental evidence that ESAGs can and do move between sites, with the loss of a particular allele from the active BES; our data qualify this by showing that ESAG7 usually transpose in unison with ESAGs6 and 5 (otherwise they would not share a common phylogenetic history).

Compliance reports summarising electronically compiled compliance data qualify healthcare needs and can be utilised as part of a compliance enhancing intervention.

Our data qualify N. furzeri as an alternative model organism to study mechanisms underlying age-dependent regulation of neurogenesis and gliosis.

Taken together our data qualify K8 as an excellent marker for head and neck carcinomas, lymph node metastases, and for tumour cells that have already detached from the primary tumour.

Only advice based on long-term data qualifies as investment advice.

We employed the software in an open coding procedure based on breaking data apart and delineating concepts to represent blocks of raw data and qualified those concepts (coding units, categories and themes) in terms of their properties and dimensions [ 39] based on a theoretical framework of reproductive health.