This search combines search strings from the content search (i.e. "Full Text", "Author", "Title", "Abstract", or "Keywords") with "Article Type" and "Publication Date Range" using the AND operator.
Beilstein J. Nanotechnol. 2015, 6, 1609–1634, doi:10.3762/bjnano.6.165
Figure 1: Screenshot illustrating free text search finding ontology annotated database entries (e.g. protocol...
Figure 2: Top level substance API documentation. The “GET /substance” call is used to retrieve or search a li...
Figure 3: Screenshot showing a nanomaterial entry (a gold nanoparticle with the name G15.AC) and its componen...
Figure 4: Experimental data JSON example.
Figure 5: Physico-chemical and toxicity data from the NanoWiki data set.
Figure 6: Compound, substance and study search API documentation.
Figure 7: Outline of the data model: Substances are characterised by their “composition” and are identified b...
Figure 8: Data upload web page of the database system showing support for two file formats.
Figure 9: Bundle API documentation at http://enanomapper.github.io/API. A bundle is a REST resource, allowing...
Figure 10: Screenshot of the bundle view with the Protein Corona data set. In addition to the Substance API, w...
Figure 11: Physicochemical data for multi-walled carbon nanotubes. The screenshot illustrates the data model a...
Figure 12: Toxicity data for multi-walled carbon nanotubes. The repeated dose toxicity (inhalation) is shown i...
Figure 13: Screenshot showing the results of a chemical similarity query (octyl amine, SMILES CCCCCCCCN) with ...
Figure 14: Screenshot showing query results in the NanoWiki data set for particle sizes between 50 and 60 nm. ...
Figure 15: Pie chart created with d3.js and ambit.js in a web page showing that the NanoWiki and Protein Coron...
Figure 16: API call in ambit.js code.
Figure 17: Histogram of nanomaterial sizes created with d3.js and ambit.js.
Figure 18: Scatter plot of nanomaterial zeta potentials against the nanomaterial sizes, also created with d3.j...
Figure 19: Screenshot of the Jaqpot Quattro modelling web services API, compatible with the eNanoMapper API. A...
Figure 20: Conjoiner API: modelling-oriented information can be extracted from bundles of experimental data. D...
Figure 21: Example of a PMML document.
Figure 22: JPDI-compliant web services can be seamlessly incorporated into the eNanoMapper framework. The clie...
Figure 23: Algorithm API that allows to consume as well as register new algorithms (following the JPDI specifi...
Figure 24: A JPDI request for training.
Figure 25: A model returned by JPDI service in JSON format.
Figure 26: An example of a JSON prediction request.
Figure 27: Screenshot of the descriptors calculated with quantum mechanics MOPAC web service.