nmparser-1.4.0

Additional blocks and substance map options see https://github.com/enanomapper/nmdataparser/wiki

Kochev, Nikolay, Nina Jeliazkova, Vesselina Paskaleva, Gergana Tancheva, Luchesar Iliev, Peter Ritchie, and Vedrin Jeliazkov. 2020. “Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the ENanoMapper Database.” Nanomaterials 10 (10): 1908. https://doi.org/10.3390/nano10101908.

nmparser-1.3.1

Kochev, N.; Jeliazkova, N.; Paskaleva, V.; Tancheva, G.; Iliev, L.; Ritchie, P.; Jeliazkov, V. Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the ENanoMapper Database. Nanomaterials 2020, 10 (10), 1908.
https://www.mdpi.com/2079-4991/10/10/1908

nmparser-1.2.0

Intermediate release

nmparser-1.0.2

The nmdataparser Java library is a configurable parser allowing to importing spreadsheet substance composition, characterisation and assay data into the eNanoMapper database. The parser converts the spreadsheet into the internal AMBIT data model, using a JSON file for mapping the objects.

• N. Jeliazkova, C. Chomenidis, P. Doganis, B. Fadeel, R. Grafström, B. Hardy, J. Hastings, M. Hegi, V. Jeliazkov, N. Kochev, P. Kohonen, C. R. Munteanu, H. Sarimveis, B. Smeets, P. Sopasakis, G. Tsiliki, D. Vorgrimmler, and E. Willighagen, The eNanoMapper database for nanomaterial safety information,Beilstein J. Nanotechnol., vol. 6, pp. 1609-1634, Jul. 2015. doi:10.3762/bjnano.6.165

nmparser-1.0.0

The nmdataparser Java library is a configurable parser allowing to importing spreadsheet substance composition, characterisation and assay data into the eNanoMapper database. The parser converts the spreadsheet into the internal AMBIT data model, using a JSON file for mapping the objects.

• N. Jeliazkova, C. Chomenidis, P. Doganis, B. Fadeel, R. Grafström, B. Hardy, J. Hastings, M. Hegi, V. Jeliazkov, N. Kochev, P. Kohonen, C. R. Munteanu, H. Sarimveis, B. Smeets, P. Sopasakis, G. Tsiliki, D. Vorgrimmler, and E. Willighagen, The eNanoMapper database for nanomaterial safety information,Beilstein J. Nanotechnol., vol. 6, pp. 1609-1634, Jul. 2015. doi:10.3762/bjnano.6.165