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The phrase "open source dataset" is correct and commonly used in written English
It refers to a collection of data that is freely available for anyone to access, use, and modify. Example: "Researchers have been able to analyze global migration patterns using an open source dataset containing millions of immigration records."
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[One methylation signature gene, LRCC26, was not represented on the Affymetrix and was not included in our analysis.] This geneset was then used to carry out geneset enrichment analysis (GSEA) of an open source dataset derived from Affymetrix microarray analysis of 76 ER+ and 53 ER− primary breast tumors [8] (GEO accession number: GSE5460).
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We used two open source datasets from the Integrated Public Use Microdata Series (Minnesota Population Center, Integrated public use microdata series international: Version 5.0., 2009, https://international.ipums.org), the US and Brazil census datasets with 370,000 and 190,000 records collected in the US and Brazil, respectively.
However, it is critical that researchers building open-source datasets explicitly engage in a rigorous evaluation process of both the source(s) and information gathered (Ackerman and Pinson 2016).
The experiments are conducted on an open source EEG dataset that was recorded in Bonn University [17].
An experimental evaluation of the proposed model on the open source NASA datasets, as well as a comparison to similar existing approaches is provided.
The researchers say they derived the identities of the 47 Russian accounts from several open source information datasets — including releases via the US Congress investigations pertaining to the spread of disinformation around the 2016 US presidential election; and the Russian magazine РБК — although there's no detailed explanation of their research methodology in their four-page policy brief.
Other solutions, such as open source validation datasets (for a specific condition of use), could potentially serve the same purpose.
Using an original dataset of open source companies in the Netherlands, I found that the community participation performance relationship is curvilinear.
Now, DeepMind and Blizzard are opening the doors to that environment, with new tools including a machine learning API, a large game replay dataset, an open source DeepMind toolset and more.
To reach these conclusions, a unique dataset of open source projects that have changed license was assembled in a comparative form, analyzing intervened projects over its monthly periods of different licenses.
As more companies wade into the business of building artificial intelligence systems to help you drive (or do the driving for you), a startup founded by an ex-Apple computer vision specialist is open sourcing a huge dataset that can help them on their road to autonomy.
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