基于公共数据集的潜在生态网络构建:以托斯卡纳为例

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES
Data in Brief Pub Date : 2026-08-01 Epub Date: 2026-07-22 DOI:10.1016/j.dib.2026.113091
Andrea Gini, Simona Re, Angelo Facchini
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引用次数: 0

摘要

本文描述了托斯卡纳(意大利)物种的计算机生态网络背后的建设过程,以及它们作为OPEN(开放潜在生态网络)的不同相互作用。所有的数据来源包括已经开放和可用的数据库,来自专家和公民科学项目的物种存在和相互作用。其结果是一个多交互的元网络,这在公共存储库中并不常见。最终的数据集和预先构建的潜在生态网络都是完全开放的,可以随时使用。对原始数据库的收集、清理和连接所使用的方法和框架管道进行了描述和总结。网络建设过程是一般的,以促进适应和复制到其他地理位置。该管道可用于从现有数据生成更广泛的元网络,以进行基线生态网络分析,并作为公众教育工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Construction of a potential ecological network based on public datasets: a case study in Tuscany

Construction of a potential ecological network based on public datasets: a case study in Tuscany
This article describes the building process behind an in silico ecological network of the species of Tuscany (Italy) and their different interactions as an OPEN (Open Potential Ecological Network). All the data sources consist of already open and available databases from experts and citizen science projects on species presence and interactions. The result is a multi-interaction metaweb which is uncommon on public repositories. Both the final dataset and the pre-built potential ecological network are completely open and ready to use. The methods and framework pipeline used for collecting, cleaning and joining the original databases are described and summarised. The network building process is generalised to facilitate adaptation and reproducibility for other geographical locations. This pipeline can be used to generate broader metaweb from existing data for the purpose of performing baseline ecological network analysis, as well as serving as an educational tool for the public.
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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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