Automated Author Profile

Alcamo, Joseph

Current S-Index

1.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.6

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

96.2%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Reference concentrations of biochemical oxygen demand (BOD), faecal coliform bacteria (FC), and total dissolved solids (TDS) from published literature sources used for model validation

The attached table contains source information and measured concentrations of faecal coliform bacteria (FC), biochemical oxygen demand (BOD), and total dissolved solids (TDS). These measurements come from published literature and constitute supplementary information for the manuscript mentioned in the reference (in this context, the data was used for model validation and testing). This dataset was used for the project "The world's water quality: A pre-study for a worldwide assessment" for which funding was provided by the United Nations Environmental Programme (UNEP) and UN-Water.

Authors

  • Rivera, Jaime ;
  • Alcamo, Joseph ;
  • Flörke, Martina ;
  • Reder, Klara ;
  • Bärlund, Ilona ;
  • Kynast, Ellen ;
  • Malsy, Marcus ;
  • Borchardt, Dietrich
1 Citation0 Mentions96% FAIR0.8 Dataset Index
10.1594/pangaea.9333682026

Modeled monthly surface water concentrations of fecal coliform bacteria, biochemical oxygen demand, and total dissolved solids in Asia, Africa, and Latin America in the period 1990-2010

These datasets contain modeled monthly mean loadings and concentrations of faecal coliform bacteria (FC), biochemical oxygen demand (BOD), and total dissolved solids (TDS) in river networks of Asia, Africa, and Latin America for the periods 1990-1992 and 2008-2010. These loadings and concentrations were estimated with WorldQual (part of the WaterGAP3 modeling framework) on a 5 arc-min resolution grid. These datasets were elaborated as part of the project “The world's water quality: A pre-study for a worldwide assessment” for which funding was provided by the United Nations Environmental Programme (UNEP) and UN-Water. The datasets are supplementary for the manuscript mentioned in the reference.

Authors

  • Alcamo, Joseph ;
  • Flörke, Martina ;
  • Reder, Klara ;
  • Bärlund, Ilona ;
  • Kynasst, Ellen ;
  • Borchardt, Dietrich ;
  • Malsy, Marcus ;
  • Rivera, Jaime
0 Citations0 Mentions96% FAIR0.4 Dataset Index
10.1594/pangaea.9334632021