A One Health Sustainability framework for nature-based wellbeing

Dataset for rapid evidence review of nature exposure, human health, and sustainability Dataset overview This dataset contains the structured evidence base used in a rapid literature review examining how research at the human–nature interface integrates human health outcomes, ecological conditions, and sustainability considerations. The dataset was developed to support a conceptual synthesis and framework development linking human wellbeing benefits of nature exposure with ecological integrity and sustainability dimensions. Bibliographic records were retrieved from the Web of Science Core Collection for English-language peer-reviewed articles published between 2015 and 2025. From 13,488 initial records identified through a Boolean search strategy, the 1,000 most cited articles were prioritised for screening. Eligibility screening identified 64 studies reporting both nature exposure and measurable human health or wellbeing outcomes. After verification and consensus review, 56 studies were retained for the final evidence synthesis. Data extraction and verification Study information was extracted using a structured data extraction framework covering bibliographic metadata, study characteristics, exposure metrics, health outcomes, ecological indicators, and sustainability-related variables. Data extraction was assisted by a large language model (ChatGPT, GPT-5, OpenAI) following a predefined extraction template. All extracted fields were manually verified against the original publications by human reviewers to ensure accuracy and consistency. Extracted variables were harmonised using controlled vocabularies and standardised terminology. Dataset structure The dataset contains bibliographic metadata, study descriptors, extracted variables describing human health and environmental characteristics, and harmonised categorical taxonomies used for evidence synthesis. Key groups of variables include: Bibliographic metadata Study identifier, title, authors, publication year, DOI Journal source and publisher Citation rate (citations per year) Abstract and keywords Study characteristics Study location and context Study design, approach, and research focus Characteristics of human study populations and environmental settings Extracted study variables Health outcomes and indicators Nature exposure metrics Dose–response relationships Habitat and environmental characteristics Ecological processes, costs, or trade-offs Sustainability and equity dimensions Harmonised taxonomiesTo enable systematic synthesis across heterogeneous studies, four categorical taxonomies were developed using a hybrid deductive–inductive approach: Human_Taxonomy – classification of sampled study populations based on demographic and contextual characteristics Health_Taxonomy – hierarchical classification of health outcomes including domain, subdomain, measurement type, and study context Health_Domain – primary health outcome domain assessed in each study Habitat_Taxonomy – classification of natural or nature-based environments based on ecosystem structure and degree of human modification DoseResponseEvidence_Taxonomy – multidimensional classification describing the interpretability, causal robustness, and policy relevance of reported nature–health dose–response relationships File format The dataset is provided as a comma-separated values (.csv) table with accompanying metadata describing each variable.