Specialized and generalized non-material Nature's Contributions to People at Mount Kilimanjaro using Twitter posts.

This dataset was collected as part of the Kili-SES research unit, Subproject 2, Work Package 2, which focuses on understanding the elements of nature that support non-material contributions, such as aesthetic enjoyment, recreation, and spirituality. Using the NCP paradigm, non-material contributions of nature to people (NCP) were identified through an inductive approach, together with the entities of nature (EN) mentioned in Twitter posts.

This dataset builds on https://doi. org/10.5281/zenodo.14217191 by including those specific EN (and human-made features) mentioned by tourists on their Twitter posts - in order to enable evaluation of NCP-EN associations. Overview: this dataset was collected in October 2021 using the R package academictwitteR with Twitter’s official Application Programming Interface keys (API; https://developer.twitter.com/en/docs). These are publicly available Tweets targeting Mount Kilimanjaro National Park (Tanzania) and its surroundings from 10 years (April 2011 to June 2021). Data were manually filtered and cleaned to preserve tourists' Tweets of their nature experiences at Mount Kilimanjaro, Tanzania. These final dataset contains 1255 entries, and each observation represents a Tweet that contains at least one non-material nature's contributions to people (non-material NCP) and one entity of nature mentioned by an individual.Please refer to the README document to understand the data structure of this dataset, and the corresponding codes to characterize each non-material NCP as either specialized or generalized. This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Research Unit 5064: “The role of nature for human well-being in the Kilimanjaro Social-Ecological System (Kili-SES)” (Project Number 428658210).

本数据集依托基利-社会生态系统（Kili-SES）研究单元下属子项目2、工作包2收集构建，该研究单元聚焦于探究支撑审美享受、休闲游憩与精神涵养的自然要素。研究依托自然对人类的非物质贡献（Nature's Contributions to People, NCP）范式，通过归纳式研究方法，结合推特推文中提及的自然实体（Entities of Nature, EN），识别出自然对人类的非物质贡献。

本数据集基于https://doi.org/10.5281/zenodo.14217191拓展而来，新增了游客在推特推文中提及的特定自然实体（及人工设施），以实现对NCP-EN关联的评估。
概述：本数据集于2021年10月借助R语言学术推文抓取包academictwitteR，结合推特官方应用程序编程接口（Application Programming Interface, API；https://developer.twitter.com/en/docs）密钥采集完成。数据集涵盖2011年4月至2021年6月十年间，以坦桑尼亚乞力马扎罗山国家公园及其周边区域为目标的公开推文。经人工筛选与清洗，最终保留了游客发布的、涉及坦桑尼亚乞力马扎罗山自然体验的推文。本数据集最终共包含1255条记录，每条记录对应一条推文，且至少包含一项自然对人类的非物质贡献（非物质NCP）与一位用户提及的自然实体。

请参阅README文档以了解本数据集的数据结构，以及用于将各类非物质NCP划分为专业化或泛化类型的对应编码规则。

本研究得到德国研究联合会（Deutsche Forschungsgemeinschaft, DFG）下属研究单元5064“基利-社会生态系统中自然对人类福祉的作用”资助（项目编号：428658210）。