基于自然的废水处理和雨水管理解决方案知识库数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Josep Pueyo-Ros , Massimiliano Riva , Gisela Gonzalvo-Henry , Sophie Guillaume-Ruty , Joaquim Comas
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引用次数: 0

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Knowledge base dataset on nature-based solutions for wastewater treatment and stormwater management
We introduce a knowledge base on Nature-Based Solutions (NBS) for wastewater treatment and stormwater management. The knowledge base includes (i) a catalogue of solutions and their variables, such as type of water that they can manage, ecosystem services provided, and operational constraints; (ii) a dataset of scientific publications related to each of the solutions included in the catalogue; and, (iii) a dataset of monitoring samples collected on treatment performance of NBS for wastewater treatment, including biological oxygen demand, chemical oxygen demand, ammonia, nitrate, total nitrogen, phosphate and pathogens (Escherichia Coli and Helminth eggs). Data collection methods employed to build the knowledge base included elicitation workshops, expert assessments, literature review and experimental data. A notable inclusion is the database of scientific publications, boasting 513 entries and providing a dynamic reference point for solution insights. Users can actively contribute to the database, ensuring its continuous enrichment and relevance. Whereas the goal of the knowledge base is to feed the algorithms developed in the Nat4Wat tool, this data can be used for several purposes, from modelling surface requirements for different NBS to being used as a sandbox for data science students. All the data can be accessed directly using a REST API of the Nat4Wat tool, which downloads the last version of the different datasets; or can be downloaded from a static repository where versions are regularly updated.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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