Automated Author ProfileBarthet, Alexis
Mines ParisTech
Barthet, Alexis
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: 3.3 (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 describes the granulometric properties of individual fragments of Waste from Electric and Electronic Equipments (WEEE). It was collected during the PhD thesis of Alexis Barthet (Mines Paris - PSL), under the supervision of Emilie Chautru (Mines Paris - PSL), Hervé CHauris (Mines Paris - PSL), Thomas Romary (Mines Paris PSL) and Vincent Semetey (Institut de Recherche de Chimie Paris), in 2021-2022.Two batches of WEEE were collected and sieved. Indivudal fragments were collected, and their picture, mass, density and type of fragments were measured. After segmentation of the pictures, their lengths, their widths, and their thickness were also collected. Both segmented and original pictures are available. The size of a pixel in mm for each image is also available for additional work on the pictures.A description of the fragments as well as the methods used to collect the data is avalaible in the article "Advanced granulometric characterization of shredded waste printed circuit boards for sampling" about to be published in the journal "Waste Management" by the authors mentionned in the first paragraph.
Authors
- Barthet, Alexis ;
- Chautru, Emilie ;
- SEMETEY, Vincent ;
- Chauris, Hervé ;
- Romary, Thomas
This dataset describes the granulometric properties of individual fragments of Waste from Electric and Electronic Equipments (WEEE). It was collected during the PhD thesis of Alexis Barthet (Mines Paris - PSL), under the supervision of Emilie Chautru (Mines Paris - PSL), Hervé CHauris (Mines Paris - PSL), Thomas Romary (Mines Paris PSL) and Vincent Semetey (Institut de Recherche de Chimie Paris), in 2021-2022.Two batches of WEEE were collected and sieved. Indivudal fragments were collected, and their picture, mass, density and type of fragments were measured. After segmentation of the pictures, their lengths, their widths, and their thickness were also collected. Both segmented and original pictures are available. The size of a pixel in mm for each image is also available for additional work on the pictures.A description of the fragments as well as the methods used to collect the data is avalaible in the article "Advanced granulometric characterization of shredded waste printed circuit boards for sampling" about to be published in the journal "Waste Management" by the authors mentionned in the first paragraph.
Authors
- Barthet, Alexis ;
- Chautru, Emilie ;
- SEMETEY, Vincent ;
- Chauris, Hervé ;
- Romary, Thomas