Harvey-Lab-UW/Radcliffe_etal_2024_FEM: Release of data for Radcliffe et al. 2024 FEM

This is the latest release of data for reproducing the analyses in the manuscript 'How are long-term stand structure, fuel profiles, and potential fire behavior affected by fuel treatment type and intensity in Interior Pacific Northwest forests?' by Radcliffe, Bakker, Churchill, Alvarado, Peterson, Laughlin, and Harvey, published in Forest Ecology and Management. See the main text of the manuscript for complete description of data collection, processing and analyses.
Shield: CC BY 4.0
This work is licensed under a Creative Commons Attribution 4.0 International License.
CC BY 4.0
Any user of these data ("User" hereafter) is required to cite it appropriately in any publication that results from its use. These data may be actively used by others for ongoing research, so coordination may be necessary to prevent duplicate publication. The User is urged to contact the authors of these data for questions about methodology or results. The User is encouraged to consider collaboration or co-authorship with authors where appropriate. Misinterpretation of data may occur if used out of context of the original study. Substantial efforts are made to ensure accuracy of the data and documentation, however complete accuracy of data sets cannot be guaranteed. All data are made available as is. Data may be updated periodically and it is the responsibility of the User to check for new versions of the data. The authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.

本数据集为复现发表于《森林生态学与管理》（Forest Ecology and Management）的论文《太平洋西北内陆林区燃料处理类型与强度对长期林分结构、燃料特征及潜在火行为的影响》（作者为Radcliffe、Bakker、Churchill、Alvarado、Peterson、Laughlin与Harvey）中各项分析的最新版本数据。完整的数据采集、处理与分析说明详见该论文正文。

本作品采用知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International License，CC BY 4.0）进行授权。

任何使用本数据集的使用者（以下简称“使用者”），在因使用本数据集产出的任何出版物中，均需对其进行恰当引用。其他研究者可基于本数据集开展在研工作，因此为避免重复发表，使用者可能需要进行相关协调。建议使用者就研究方法或结果相关问题联系本数据集的原作者；若适用，鼓励使用者与原作者考虑合作或共同署名。若脱离原研究的上下文使用本数据集，可能会产生误解。尽管已投入大量精力以确保数据集及其文档的准确性，但无法保证数据集完全精确，所有数据均按现状提供。数据集可能会定期更新，使用者有责任查看数据集的最新版本。本数据集的作者以及获取本数据集的存储库，不对因使用或误解本数据集所导致的损害承担责任。