Automated Author ProfileFavre, D.
HES-SO - Haute École Spécialisée de Suisse Occidentale (CH)
Favre, D.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset consists of 1) Excel sheets with material properties for a) a collection of historic building materials and b) insulation materials suited for internal insulation. Material properties were collected from all RIBuild partner countries. The main purpose was to locate data set not included in the DELPHIN database that contained the needed data for DELPHIN simulations. 2) Excel sheets with material properties for specific historic building materials used in Italy and Switzerland. As these materials were supposed to be included in hygrothermal simulations with DELPHIN performed in RIBuild, a full material characterization was required as described in RIBuild deliverable D2.1 and in the DELPHIN specifications. Material characterization was performed at RTU. Requirements concerning input need for DELPHIN simulations are described in RIBuild deliverable D2.1. Overview of data files to be found in 'RIBuild data WP2 Mat Prop' as part of this dataset.
Authors
- Vereecken, E. ;
- Vanhoutteghem, L. ;
- Hansen, T. K. ;
- Blumberga, A. ;
- Veidenbergs, I. ;
- Blumberga, D. ;
- Grāvelsiņš, A. ;
- Freimanis, R. ;
- Freudenberg, P. ;
- Gianangeli, A. ;
- D'Orazio, M. ;
- Quagliarini, E. ;
- Esad, A. ;
- Ekstrand-Tobin, A. ;
- Ståhl, F. ;
- Favre, D. ;
- Giorgi, M.
This dataset consists of 1) Excel sheets with material properties for a) a collection of historic building materials and b) insulation materials suited for internal insulation. Material properties were collected from all RIBuild partner countries. The main purpose was to locate data set not included in the DELPHIN database that contained the needed data for DELPHIN simulations. 2) Excel sheets with material properties for specific historic building materials used in Italy and Switzerland. As these materials were supposed to be included in hygrothermal simulations with DELPHIN performed in RIBuild, a full material characterization was required as described in RIBuild deliverable D2.1 and in the DELPHIN specifications. Material characterization was performed at RTU. Requirements concerning input need for DELPHIN simulations are described in RIBuild deliverable D2.1. Overview of data files to be found in 'RIBuild data WP2 Mat Prop' as part of this dataset.
Authors
- Vanhoutteghem, L. ;
- Hansen, T. K. ;
- Blumberga, A. ;
- Veidenbergs, I. ;
- Blumberga, D. ;
- Grāvelsiņš, A. ;
- Freimanis, R. ;
- Freudenberg, P. ;
- Vereecken, E. ;
- Gianangeli, A. ;
- D'Orazio, M. ;
- Quagliarini, E. ;
- Esad, A. ;
- Ekstrand-Tobin, A. ;
- Ståhl, F. ;
- Favre, D. ;
- Giorgi, M.