Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 10.951 IF 10.951
  • IF 5-year value: 9.899 IF 5-year
    9.899
  • CiteScore value: 9.74 CiteScore
    9.74
  • SNIP value: 3.111 SNIP 3.111
  • IPP value: 8.99 IPP 8.99
  • SJR value: 5.229 SJR 5.229
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 38 Scimago H
    index 38
  • h5-index value: 33 h5-index 33
ESSD | Articles | Volume 11, issue 2
Earth Syst. Sci. Data, 11, 515–527, 2019
https://doi.org/10.5194/essd-11-515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 11, 515–527, 2019
https://doi.org/10.5194/essd-11-515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  23 Apr 2019

23 Apr 2019

Data set of submerged sand deposits organised in an interoperable spatial data infrastructure (Western Sardinia, Mediterranean Sea)

Walter Brambilla et al.
Viewed  
Total article views: 1,310 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,150 148 12 1,310 15 12
  • HTML: 1,150
  • PDF: 148
  • XML: 12
  • Total: 1,310
  • BibTeX: 15
  • EndNote: 12
Views and downloads (calculated since 20 Dec 2018)
Cumulative views and downloads (calculated since 20 Dec 2018)
Viewed (geographical distribution)  
Total article views: 849 (including HTML, PDF, and XML) Thereof 827 with geography defined and 22 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 22 Aug 2019
Download
Short summary
The expected sea level rise by the year 2100 will determine an adaptation of the whole coastal system and the land retreat of the shoreline. Future scenarios coupled with the improvement of mining technologies will favour increased exploitation of sand deposits for nourishment. This work summarises a large data set of geophysical and sedimentological data that maps the spatial features of submerged sand deposits and is a useful tool in future climate change scenarios.
The expected sea level rise by the year 2100 will determine an adaptation of the whole coastal...
Citation