Published July 4, 2025
| Version 2
Dataset
Open
Global Sand Dams Dataset
Authors/Creators
-
Piemontese, Luigi
(Contact person)1
-
Eisma, Jessica
(Data curator)2
-
Giulio, Castelli
(Data curator)1
-
Aerts, Jeroen
(Data curator)3
-
Mpofu, Bongani
(Data curator)4
-
Graber Neufeld, Doug
(Data curator)5
- Ritchie, Hannah (Data curator)6
- Ryan, Cate (Data curator)7
-
Quinn, Ruth
(Data curator)8
-
Limones, Natalia
(Data curator)9
- et al. Show all 13 authors
Authors/Creators
-
Piemontese, Luigi
(Contact person)1
-
Eisma, Jessica
(Data curator)2
-
Giulio, Castelli
(Data curator)1
-
Aerts, Jeroen
(Data curator)3
-
Mpofu, Bongani
(Data curator)4
-
Graber Neufeld, Doug
(Data curator)5
- Ritchie, Hannah (Data curator)6
- Ryan, Cate (Data curator)7
-
Quinn, Ruth
(Data curator)8
-
Limones, Natalia
(Data curator)9
- Whinney, Christine (Data collector)10
-
Villani, Lorenzo
(Data curator)1
-
Bresci, Elena
(Data curator)1
- 1. Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Italy
- 2. Department of Civil Engineering, University of Texas at Arlington, Arlington, Texas, USA
- 3. Institute for Environmental Studies (IVM), VU University Amsterdam, Deltares Institute, Delft
- 4. Dabane Water Workshops, Bulawayo, Zimbabwe
- 5. Department of Biology, Eastern Mennonite University, Harrisonburg, Virginia, USA
- 6. School of Water, Energy and Environment, Cranfield University, UK
- 7. Department of Environmental Science, Auckland University of Technology, Aotearoa New Zealand
- 8. Department of Civil Engineering and Construction Studies, Atlantic Technological University Sligo, Ireland
- 9. Department of Physical Geography and Regional Geographical Analysis, University of Seville, Spain
- 10. Sand Dams Worldwide, London, United Kingdom
Description
The Global Sand Dams Dataset (GSDD) contains data on sand dams location, year of construction, water access, and characteristics, including dams’ crest length, throwback and stream width.
Files
Sand_dam_dataset_July_2025.csv
Files
(176.6 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:ba214532ba555fa1c8d97ffef3995ef7
|
176.6 kB | Preview Download |