Arctic chironomid training set from Canada, Greenland, Iceland and Svalbard for estimating paleotemperatures (2022)

This dataset includes chironomid species assemblage data and air temperature estimates from 400+ lakes across northern North America, Greenland, Iceland, and Svalbard to inform interpretations of Holocene subfossil chironomid assemblages used in paleolimnological reconstruction. This calibration-set was developed by re-identifying and taxonomically harmonizing chironomids in previously described surface sediment samples, with identifications made at finer taxonomic resolution than in original publications (which are cited in the publication describing this dataset, Medeiros et al. 2022 Quaternary Science Reviews, and should be cited by dataset users). Site summer air temperatures are newly estimated with a consistent method using the WorldClim 2.1 gridded bioclimatic dataset. The large geographic coverage of this dataset is intended to provide climatic analogs for a wide range of Holocene climates in the northwest North Atlantic region and North American Arctic, including Greenland. For many of these regions, modern calibration data for paleoclimate proxies are sparse despite keen interest in paleoclimate reconstructions from high latitudes. Dataset users should consult and cite the following source publication: Medeiros, A.S., Chipman, M., Francis, D.R., Hamerlik, L., Langdon, P., Puleo, P.J.K., Schellinger, G., Steigleder, R., Walker, I.R., Woodroffe, S., and Axford, Y. 2022. A continent-scale chironomid training set for reconstructing arctic temperatures. Quaternary Science Reviews 294, 107728. DOI 10.1016/j.quascirev.2022.107728.

本数据集涵盖北美北部、格陵兰、冰岛及斯瓦尔巴群岛的400余个湖泊的摇蚊（chironomid）物种组合数据与空气温度估算值，可为古湖沼学重建（paleolimnological reconstruction）中使用的全新世（Holocene）亚化石摇蚊组合的解释提供支撑。
本校准数据集（calibration-set）通过对已有文献报道的表层沉积物样品中的摇蚊进行重新鉴定与分类学统一处理构建而成，其鉴定采用的分类学分辨率高于原始文献——相关原始文献已在本数据集的说明文献（Medeiros等人2022年发表于《第四纪科学评论》（Quaternary Science Reviews）的论文）中被引用，且数据集使用者亦需引用该说明文献。
各采样点的夏季空气温度采用统一方法，结合WorldClim 2.1网格生物气候数据集重新估算得到。
本数据集覆盖范围广泛，可为北大西洋西北部区域及北美北极区（含格陵兰）内的多种全新世气候类型提供气候类比物。
尽管学界对高纬度地区的古气候重建研究抱有极高热情，但上述多数区域的古气候代用指标（paleoclimate proxies）现代校准数据仍较为匮乏。
数据集使用者需参考并引用如下原始文献：Medeiros, A.S.、Chipman, M.、Francis, D.R.、Hamerlik, L.、Langdon, P.、Puleo, P.J.K.、Schellinger, G.、Steigleder, R.、Walker, I.R.、Woodroffe, S.及Axford, Y. 2022年发表于《第四纪科学评论》的论文《用于北极温度重建的大陆尺度摇蚊训练数据集》，刊载于该刊第294卷，文章编号107728，DOI：10.1016/j.quascirev.2022.107728。