Knowledge base dataset on nature-based solutions for wastewater treatment and stormwater management

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2025-06-01 Epub Date: 2025-03-15 DOI:10.1016/j.dib.2025.111469
Josep Pueyo-Ros , Massimiliano Riva , Gisela Gonzalvo-Henry , Sophie Guillaume-Ruty , Joaquim Comas
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引用次数: 0

Abstract

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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基于自然的废水处理和雨水管理解决方案知识库数据集
我们为污水处理和雨水管理引入了一个基于自然的解决方案(NBS)知识库。知识库包括:(i)解决方案及其变量的目录,例如它们可以管理的水类型、提供的生态系统服务和操作限制;(ii)与目录中所列每个解决方案相关的科学出版物的数据集;(iii)收集废水处理NBS处理性能监测样本的数据集,包括生物需氧量、化学需氧量、氨、硝酸盐、总氮、磷酸盐和病原体(大肠杆菌和蠕虫卵)。建立知识库的数据收集方法包括启发式研讨会、专家评估、文献综述和实验数据。值得注意的是科学出版物数据库,拥有513个条目,为解决方案见解提供了动态参考点。用户可以积极地为数据库做出贡献,确保其不断丰富和相关性。虽然知识库的目标是为Nat4Wat工具中开发的算法提供支持,但这些数据可以用于多种目的,从为不同NBS建模表面需求到用作数据科学学生的沙箱。所有数据都可以使用Nat4Wat工具的REST API直接访问,该工具会下载不同数据集的最新版本;或者可以从定期更新版本的静态存储库下载。
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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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