Data and information are essential for planning, monitoring, and evaluating water-related interventions and policies.
The datasets are currently being built to service our solutions and for brands to compute WSS. In the meantime there are many existing data sources that can help you understand the water situation in different regions and contexts.
Water Quality
This dataset contains information on various water quality parameters, such as pH, hardness, solids, chloramines, sulfates, and more. It also includes a binary variable indicating whether the water is potable or not. You can use this dataset to analyze the factors affecting water quality and to predict the potability of water samples.
USEPA Hazardous Chemical Release Data
This dataset contains data on the release of hazardous chemicals into the environment, including water, by facilities in 11 states in the USA. You can use this dataset to assess the impact of chemical spills and accidents on water quality and ecosystems.
UNICEF Drinking Water Database
This dataset contains data on the use of drinking water sources by country and region, based on the WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene. You can use this dataset to compare the access and coverage of different types of drinking water sources, such as piped, improved, unimproved, and surface water.
Virginia Water Lead Levels
This dataset contains data on the lead levels in drinking water samples collected from various locations in Virginia, USA. You can use this dataset to identify the sources and risks of lead contamination in water and to evaluate the effectiveness of lead reduction measures.
UNICEF Drinking Water Database
This dataset contains data on the use of drinking water sources by country and region, based on the WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene. You can use this dataset to compare the access and coverage of different types of drinking water sources, such as piped, improved, unimproved, and surface water.
Global Georeferenced Database of Dams
The Global georeferenced Database of Dams (GOODD) Version 1 was developed as part of the pantropical hydrology research at King’s College London. This global dataset of more than 38,000 dams was developed by digitising visible dams using Google Earth’s satellite imagery. This dataset contains data on the names, locations, water sources, sizes, and other characteristics of dams. You can use this dataset to study the role of dams in water management, hydroelectric power generation, irrigation, flood control, and recreation.
In addition there are several State Departments around the world that publish publicly accessible data in .CSVs or PDFs from time to time.
We can help you search for or specify the exact data you need for a more precise and effective exploration. Do get in touch with our dedicated team.
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