Significant and overlooked greenhouse gas emissions from deep Arctic lake sediment - supporting data and code

This data package contains data, descriptions, and code-based analyses that were used to support conclusions drawn in “Significant and overlooked greenhouse gas emissions from deep Arctic lake sediment”, by Freitas et al. 2024 (publication forthcoming). The study evaluated greenhouse gas production along a deep sediment core (20 m) taken in 2018 from below Goldstream Lake, a field site approximately 15 km north of Fairbanks, Alaska. The file “ESSDive_NFreitas_2024_flmd.csv” includes an overview of all other csv files in this data package, namely: sediment descriptions (depth and type of sediment), sediment characterizations (bulk density, gravimetric water content, total carbon, etc.), calculated respiration and temperature sensitivity values associated with year-long incubations of the sediment core, and the R code used to process the dataset. Additional details regarding the content of these files and how the calculations were performed are described in the Methods section of this archive. The “data_dictionary_ESSDive_NFreitas_2024_dd.csv” is a data dictionary for all files included in the data package. Each row in the data dictionary represents a column name in a given file. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).本数据包包含支撑Freitas等人2024年发表于《北极深层湖泊沉积物中显著且被忽视的温室气体排放》（Significant and overlooked greenhouse gas emissions from deep Arctic lake sediment）一文（即将出版）结论所用的数据、描述文本及基于代码的分析内容。该研究对2018年从阿拉斯加州费尔班克斯以北约15公里的野外站点——金流湖（Goldstream Lake）下方采集的20米长深层沉积物岩芯的温室气体产生情况进行了评估。文件"ESSDive_NFreitas_2024_flmd.csv"汇总了本数据包内其余所有逗号分隔值（CSV）文件的相关信息，具体包括沉积物描述（沉积物深度与类型）、沉积物表征数据（容重、重量法含水率、总碳等）、与沉积物岩芯全年培养实验相关的计算呼吸速率及温度敏感性数值，以及用于处理本数据集的R代码。有关这些文件的内容及计算方法的更多细节，详见本存档的方法部分。"data_dictionary_ESSDive_NFreitas_2024_dd.csv"为本数据包内所有文件提供数据字典，该数据字典中的每一行对应单个文件中的一个列名。下一代生态系统实验：北极（Next-Generation Ecosystem Experiments: Arctic, 简称NGEE Arctic）是一项旨在通过深入理解富碳北极生态系统及其对气候的反馈，以降低地球系统模型不确定性的研究计划。该项目由美国能源部生物与环境研究办公室资助。NGEE Arctic设有两处野外研究站点：1）位于阿拉斯加州乌特恰维克（旧称巴罗）附近北坡的巴罗环境观测站（Barrow Environmental Observatory, BEO）内的北极多边形苔原沿海区域；2）阿拉斯加州诺姆以北苏华德半岛的不连续多年冻土区内的多处区域。通过观测、实验及与现有数据集的综合分析，NGEE Arctic为多尺度建模提供了更完善的知识库，并助力美国能源部地球系统模型——能源超额计算地球系统模型（Energy Exascale Earth System Model, 简称E3SM），尤其是其陆面模型组件（ELM）——在全球泛北极尺度下改进过程表征能力。