This test product contains a subset of the PubChemRDF data, provided for free from the U.S. National Library of Medicine, transformed from RDF text-based encodings to the Header-Dictionary-Triples (HDT) encoding by DeciSym.AI.
This test product is a subset of the PubChemRDF data published by the U.S. National Library of Medicine. The original data has been transformed from RDF text-based encodings into Header-Dictionary-Triples (HDT). The transformation from a text to binary format includes creating a complete data index. In addition, optimized compression has been applied. RDF text-based encodings must be indexed and bulk loaded for efficient querying by triple-store databases. With the indexing and compression performed already, this data product can be queried directly, bypassing the need to perform bulk-loading operations. As a result, analysis workflows can be executed more efficiently by eliminating bulk loading operations and improving data transfer and read speed. These advantages lead to computing resource cost savings and faster time to results versus direct use of the original data.
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This listing offers a single pricing dimension: Product Access, measured in Units. It is a free product, so you subscribe to gain access without any charge. There are no tiers, instance sizes, or usage add-ons to compare. The one dimension grants you access to the product. The Units measure applies to your subscription for that access.
Top-of-mind questions for buyers
What does one unit of Product Access grant me?
One unit grants your subscription access to the product. This is a free listing, so the unit records your entitlement rather than metering usage. You subscribe to gain access, and no charge accrues for that access.
Does my cost change as I query more data or add more users?
No. This is a free product with a single access dimension. There are no tiers, usage thresholds, or per-user counts that raise your cost. Access is granted through your subscription, and adding activity or people does not trigger any charge.
What can I do with the product once I have access?
You can work with packaged, query-ready RDF data artifacts that carry built-in semantic structure. The product supports querying without persistent services or centralized databases, and it runs in disconnected or edge settings. Access covers use of these packaged, standards-based data capabilities.
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Publicly available Automatic Identification System (AIS) messages transformed to Resource Description Framework (RDF), aligned to ontologies, and distributed as compressed N-Triples and indexed Header, Dictionary, Triples (HDT) files.
Q-Chem is one of the most widely-used and fully-featured quantum chemistry packages. Quickly and accurately predict electronic and molecular structure, explore reaction mechanisms, and model spectra using our vast suite of methods, including DFT, correlated methods, and much more!
Clarivate Real-World Data Product is a comprehensive and integrated solution, providing a robust and longitudinal view of patient care and ensuring you have recent, reliable data reflective of the prevalence of disease and treatment utilization.
PubMed Central® (PMC) is a free full-text archive of biomedical and life sciences journal article at the U.S. National Institutes of Health's National Library of Medicine (NIH/NLM). The PubMed Central (PMC) Article Datasets include full-text articles archived in PMC and made available under license terms that allow for text mining and other types of secondary analysis and reuse. The articles are organized on AWS based on PMCID and version number:
The PMC Open Access (OA) Subset, which includes all articles in PMC that are available for reuse based on terms specified by the publisher. The majority of available articles have machine-readable Creative Commons license The Author Manuscript Dataset, which includes all articles collected under a funder policy in PMC and made available in machine-readable formats for text mining. NOTEL Author manuscripts with Creative Commons licenses are also part of the PMC Open Access Subset. The Historical OCR Dataset, w[...]