Examples of using Datasets in English and their translations into Finnish
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Official/political
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Computer
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Programming
groups to share large datasets and collaborate with others.
The system is open to upgrades with/ downloading of new applications and datasets on the cards in circulation; standard SM procedure is applied for this purpose.
A central project in this context is OpenAIRE35, an e-infrastructure to deposit and access peer-reviewed articles and datasets resulting from EU-funded projects.
data analysis methods to fully exploit the global open spatio-temporal datasets together with outputs from global agrological
Member States shall establish multiannual datasets suitable for scientific analysis which incorporate biological
When using such datasets for research and development,
In my experience, the study of rare events is one of the three specific scientific ends that large datasets tend to enable.
When acquiring such datasets, we do so in accordance with applicable law in the jurisdiction in which the dataset is hosted.
Although the EU-AES data on Finland are based on the national Adult Education Survey, the datasets differ in certain respects.
Manage and make available tools and datasets to policymakers, social partners,
which is unfortunate because most modern social datasets are sparse.
Estimate based on land-cover data(Corine, 2000) and additional biodiversity datasets with varying base years roughly 2000-2006.
makes the argument that"publicly available datasets containing private data are among the most interesting to researchers
Practical training related to graduation theses enables undergraduates close to graduation to get acquainted with Statistics Finland and its datasets.
The datasets acquired for the services should be re-usable by users for further elaboration,
The datasets come from many different organizations,
When comparing different datasets it is directly indicated if the difference in average
Table 7: Example of semi-quantitative assessment of data quality required for key Life Cycle Inventory datasets.
where platforms have access to datasets of unprecedented size, new asymmetries may be created.
Handling today's highly variable and real-time datasets requires new tools