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The Algorithm services perform the calculation and store results into a Dataset service, possibly at a remote location.
Upon estimation, Model results are submitted to a Dataset service, which could be at a remote location, which could be the same or different to that for the model services.
The tag could point to an OpenTox Algorithm or Model service, in case it holds a calculated value, or point to a Dataset service, in case it contains information, uploaded as a dataset (for example experimental endpoint data).
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Publishing a dataset of chemical structures and their properties as linked data becomes as straightforward, as uploading a sdf file into an OpenTox dataset service, with optional subsequent annotation of property tags.
The OpenTox project provides a API definition for a predictive toxicology framework, a publicly available dataset service is for example the AMBIT web service [14].
Additionally, datasets allocated at an OpenTox [12, 13] dataset service can be used.
Together with this entity, it also introduces other concepts, all part of the conceptual framework: Application, ModelRepresentation, ConfigurationParameter, ModelParameter, ModelRun, ModelEngine, Dataset, Service, InputData, ModelOutput.
The OpenTox REST Dataset services are used in this step of the application in order to retrieve the requested information.
This paper investigates the relevant factors behind the almost unexplored realm of environmental innovation in services, using a dataset of 8161 Italian service firms.
Finally, a dataset of mental health service use reported by medical patients is described, and a comparison of results across several different statistical methods is presented.
Model services accept a dataset URI in order to apply a model and obtain predictions.
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