This data set includes all references included in the review paper entitled "Transforming data into knowledge for improved wastewater treatment operation: A critical review of techniques". It also includes the analysis of the data included in the review paper, on the number of citations per year and per paper, the background of authors, the countries involved in each paper, etc
Data underlying the publication: Optimizing biological effluent organic matter removal for subsequen...
Contains fulltext : 183350pos.pdf (postprint version ) (Open Access) ...
Without intervention, wastewater treatment plants will become more resource intensive as they strive...
The aim of this paper is to describe the state-of-the art computer-based techniques for data analysi...
Data mining may be described as the science of extracting information from large data sets or databa...
Wastewater treatment plants are being repurposed towards water resource recovery facilities (WRRFs),...
The present study used bibliometric and visualization techniques for the analysis of wastewater lite...
Today the world is facing a major problem of getting rid of wastewater safely so that it does not di...
This dataset contains the underlying data of the following publication: Fatma A, Chadlia H, Salma B...
This paper investigates global research of highly cited articles on biochar for wastewater treatment...
This study is a bibliometric analysis of sewage sludge researches to quantitatively and visually eva...
This study aims to identify barriers and needs for the application of data analytics in municipal wa...
This file contains dataset associated with the paper Making Data Work: A Literature Review on Collab...
Machine learning (ML) is one of the most rapidly growing technical fields, lying at the intersection...
Data and statistics that are produced as part of a Systematic Literature Review (SLR) entitled "Onto...
Data underlying the publication: Optimizing biological effluent organic matter removal for subsequen...
Contains fulltext : 183350pos.pdf (postprint version ) (Open Access) ...
Without intervention, wastewater treatment plants will become more resource intensive as they strive...
The aim of this paper is to describe the state-of-the art computer-based techniques for data analysi...
Data mining may be described as the science of extracting information from large data sets or databa...
Wastewater treatment plants are being repurposed towards water resource recovery facilities (WRRFs),...
The present study used bibliometric and visualization techniques for the analysis of wastewater lite...
Today the world is facing a major problem of getting rid of wastewater safely so that it does not di...
This dataset contains the underlying data of the following publication: Fatma A, Chadlia H, Salma B...
This paper investigates global research of highly cited articles on biochar for wastewater treatment...
This study is a bibliometric analysis of sewage sludge researches to quantitatively and visually eva...
This study aims to identify barriers and needs for the application of data analytics in municipal wa...
This file contains dataset associated with the paper Making Data Work: A Literature Review on Collab...
Machine learning (ML) is one of the most rapidly growing technical fields, lying at the intersection...
Data and statistics that are produced as part of a Systematic Literature Review (SLR) entitled "Onto...
Data underlying the publication: Optimizing biological effluent organic matter removal for subsequen...
Contains fulltext : 183350pos.pdf (postprint version ) (Open Access) ...
Without intervention, wastewater treatment plants will become more resource intensive as they strive...