从一系列审议货币估值研讨会中获得的全欧洲公众对浮游生物生态系统服务和海洋生物多样性的偏好数据

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-03-24 DOI:10.1016/j.dib.2025.111488

Gilles Jean-Louis , Julian R. Massenberg , Bartosz Bartkowski

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引用次数: 0

摘要

我们的文章描述了在一系列审议货币估值研讨会中进行的离散选择实验的数据。这些讲习班在欧洲各地举行，探讨了公众对基于浮游生物的生态系统服务和海洋生物多样性的偏好。总共从五个不同国家的15个讲习班收集了数据。在每个区域，在沿海和内陆地点都举办了讲习班。该数据集包括172名受访者的回复，收集时间为2023年10月至2024年2月。除了受访者的偏好，社会人口统计数据和其他个人特征，邮政编码，先验知识，信仰和动机被引出。这些数据可用于对选择实验中涉及的各个方面的偏好和支付意愿进行定制分析，并纳入所收集的受访者特定解释变量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data on Europe-wide public preferences for plankton-based ecosystem services and marine biodiversity from a series of deliberative monetary valuation workshops

Our article describes data from a discrete choice experiment conducted within a series of deliberative monetary valuation workshops. The workshops were held across Europe and explored public preferences for plankton-based ecosystem services and marine biodiversity. In total, data were collected from 15 workshops in five different countries. In each region, workshops were carried out in both coastal and inland locations. The dataset includes responses from 172 respondents, obtained between October 2023 and February 2024. In addition to respondents’ preferences, socio-demographic data and other personal characteristics, postcodes, prior knowledge, beliefs and motivations were elicited. The data can be used to conduct custom analyses of preferences and willingness to pay for the aspects covered in the choice experiment, also incorporating the respondent-specific explanatory variables collected.

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来源期刊

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.