Hille, Christoph (1) ; Ringe, Stefan (2) ; Deimel, Martin (1) ; Kunkel, Christian (1) ; Acree, William E. (3) ; Reuter, Karsten (1) ; Oberhofer, Harald (1)
Author affiliation:
TUM (1); SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States (2) ; Department of Chemistry, University of North Texas, 1155 Union Circle Drive #305070, Denton, TX 76203, USA (3)
Experimente und Beobachtungen / experiments and observations; Statistik und Referenzdaten / statistics and reference data
Other resource types:
Example database access programs
Data type:
Datenbanken / data bases; Programme und Anwendungen / software and applications
Description:
The Solv@TUM database contains a collection of experimentally measured partition coefficients for a large number of molecular solutes in non-aqueous solvents. The database is aimed at providing reference data for e.g. the parameter fitting of effective solvation models. The data has been compiled from the works of Abraham, Acree and co-workers and will be regularly updated as new data becomes available. Each entry is provided with the respective literature reference. The database is given as a single structure data file (SDF). An exemplary interface for Python using PyBel and OpenBabel is also provided
«
The Solv@TUM database contains a collection of experimentally measured partition coefficients for a large number of molecular solutes in non-aqueous solvents. The database is aimed at providing reference data for e.g. the parameter fitting of effective solvation models. The data has been compiled from the works of Abraham, Acree and co-workers and will be regularly updated as new data becomes available. Each entry is provided with the respective literature reference. The database is given as a s...
»
Method of data assessment:
Partition coefficients were calculated from published experimental infinite dilution activity coefficients, Henry’s law constants and mole fraction solubility data using standard thermodynamic relationships.
Links:
View and download (288 KB, 1 file)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1452571_001): rsync rsync://m1452571_001@dataserv.ub.tum.de/m1452571_001/