aChemometric Consultant, Rubensstraat 7, 6717 VD Ede, The Netherlands. [email protected]
bDepartment of Unit Operations and Food Engineering, Szeged College of Food Engineering, University of Szeged, H-6701 Szeged, POB 433, Hungary
Norwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK
aExternal Professor, University of Glamorgan, UK, Director, ALIS Ltd, Analytical Laboratory Informatics Solutions
bPhaseFour Informatics Limited, [email protected]
cDepartment of Analytical Chemistry, Institute of Chemical Technology, Technika 5, 166 28 Prague 6–Dejvice, The Czech Republic
aNorwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK
bDepartment of Statistical Science, University College London, Gower Street, London, UK
aExternal Professor, University of Glamorgan, UK, Director, ALIS Ltd, Analytical Laboratory Informatics Solutions
bInstitute for Organic Chemistry, University of Vienna, Austria
cModgraph Consultants, 1 Oakland View, Welwyn AL6 0RJ, UK
aNorwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK
bDepartment of Statistical Science, University College London, Gower Street, London, UK
aExternal Professor, University of Glamorgan, UK
c/o Waters Informatics, Europaallee 27–29, 50226 Frechen, Germany
bUniversity of West Indies, Mona Campus, Jamaica
cISAS, Institute for Analytical Science, Bunsen-Kirchoff-Strasse 11, 44139 Dortmund, Germany
aNorwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK
bDepartment of Statistical Science, University College London, Gower Street, London, UK
External Professor, University of Glamorgan, UK
c/o Waters Informatics, Europaallee 27–29, 50226 Frechen, Germany
Norwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK
External Professor, University of Glamorgan, UK, c/o Waters Informatics, Europaallee 27–29, 50226 Frechen, Germany
PCA is a mathematical method of reorganising information in a data set of samples. It can be used when the set contains information from only a few variables but it becomes more useful when there are large numbers of variables, as in spectroscopic data.
aISAS, Institute for Analytical Sciences, Bunsen-Kirchhoff-Str.11, 44139 Dortmund, Germany
bExternal Professor, University of Glamorgan, UK. c/o Waters Informatics, Europaallee 27–29, 50226 Frechen, Germany
Norwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK
External Professor, University of Glamorgan, UK c/o Waters Informatics, Europaallee 27–29, 50226 Frechen, Germany
Norwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK
External Professor, University of Glamorgan, UK, c/o Creon Lab Control AG, Europaallee 27–29 50226 Frechen, Germany
Norwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK
aExternal Professor, University of Glamorgan, UK. c/o Creon Lab Control AG, Europaallee 27-29 50226 Frechen, Germany
bISAS, institute for Spectrochemistry and Applied Spectroscopy, Dortmund, Germany
cCreon Lab Control AG, Europaallee 27-29 50226 Frechen, Germany
The International Spectroscopic Database (IS-DB) went live on 19 May 2003. Following over seven years fighting for funding and receiving the EU EuroSpec grant1 in 2002 the team are pleased to announce that the first version of the international digital archive for spectroscopic data was switched on for data deposition in May.