Deposition data from: Assessing changes in indicators of fish health measured between 1997 and 2019 relative to multiple natural and anthropogenic stressors in Canada’s oil sands region using spatio-temporal modeling

Oil sands facilities in northern Alberta influence the environment in many ways. Some, such as land clearance and mine construction have clear physical effects while others are also associated with changes in chemical indicators, such as stack emissions or wind-blown dust. Less well established are the biological effects of oil sands industrial activity. The purpose of the study using the data provided here (10.3389/fenvs.2024.1405357) was to examine the potential effects of various sources at oil sands sites emitting particles to the atmosphere and deposited on the landscape. The focus of the original study was not specifically on evaluating patterns of deposition, although some were alluded to in the results and discussion of that paper (and are presented as figures in the main manuscript or the supplemental information). More details about the methods are available elsewhere (10.3389/fenvs.2024.1405357), but these data were generated using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) atmospheric transport and dispersion model made available by the Atmospheric Research Laboratory. The datafiles provided here include the mass of particles deposited to the landscape for each respective year of study (1997, 1999-2001, 2004-2007, 2009-2019) for the months of June, July, and August; summer was chosen for its relevance to estimates of fish health, but also to limit the computation time. The final deposition location of particles emitted from all sources, including those adjusted post-hoc (and described in the original paper) are provided as ‘new_lat’ and ‘new_long.’ The unzipped file size is roughly 5GB. These data should be interpreted as spatially and temporally relative; their purpose was not to exactly reproduce absolute deposition, but instead to capture spatial and temporal variability in deposition patterns.阿尔伯塔省北部的油砂设施对环境的影响涉及多个维度。部分影响（如土地清理与露天矿山建设）具有明确的物理效应，其余影响则与化学指标变化相关，例如烟囱排放物或风蚀扬尘。当前学界对油砂工业活动带来的生物学效应的认知仍较为匮乏。本研究依托本次发布的数据集（DOI: 10.3389/fenvs.2024.1405357），旨在探究油砂矿区各类向大气排放颗粒物并沉降于地表的污染源的潜在影响。尽管该原始研究的核心目标并非专门评估颗粒物沉降模式，但相关分析结果已在论文的结果与讨论部分有所提及（并以图表形式呈现于正文或补充材料中）。关于研究方法的更多细节可查阅该文献（10.3389/fenvs.2024.1405357）。本次数据集由大气研究实验室（Atmospheric Research Laboratory）开发的HYSPLIT（混合单粒子拉格朗日综合轨迹模型，Hybrid Single Particle Lagrangian Integrated Trajectory）大气传输与扩散模型生成。本次提供的数据文件涵盖了研究各年份（1997年、1999-2001年、2004-2007年、2009-2019年）6、7、8月的地表颗粒物沉降质量。选择夏季作为研究时段，一方面因其与鱼类健康评估的相关性，另一方面也可缩减计算时长。所有污染源排放的颗粒物的最终沉降位置（包括事后校正并在原文中详述的校正结果）以'new_lat'与'new_long'字段提供。未压缩的文件大小约为5GB。本数据集仅可作为时空相对参考进行解读；其设计初衷并非精准重现绝对沉降量，而是用于捕捉沉降模式的时空变异性。