Processing and analysis of Arctic Calanus occurrence records from OBIS and GBIF databases

This dataset contains quality-controlled georeferenced occurrence records of three Arctic Calanus species (Calanus finmarchicus, C. glacialis and C. hyperboreus), downloaded from the Ocean Biodiversity Information System (OBIS) and the Global Biodiversity Information Facility (GBIF) databases. Records span about 150 years of sampling (1870-2017), are located between 30 and 90 degrees north, and are distributed between the surface and 5000m deep. Physical (bathymetry) and environmental (temperature and sea-ice concentration) parameters are matched to each occurrence record. An html file provides the annotated source code for the data processing, analyses and figures produced for the publication: Freer JJ and Tarling GA (2023) Assessing key influences on the distribution and life-history of Arctic and boreal Calanus: Are online databases up to the challenge? Front. Mar. Sci. 10:908112. This work was funded by DIAPOD (NE/P006213/1) and CHASE (NE/R012687/1) projects as part of the Changing Arctic Ocean Programme, with the former funded by the UKRI Natural Environment Research Council (NERC) and the latter, jointly by NERC and the German Federal Ministry of Education and Research (BMBF). Further support was provided by BIOPOLE National Capability Multicentre Round 2 funding from the Natural Environment Research Council (NE/W004933/1).

本数据集包含经质量控制的地理参考物种出现记录（occurrence records），涵盖3种北极哲水蚤属（Calanus）物种：飞马哲水蚤（Calanus finmarchicus）、冰川哲水蚤（C. glacialis）与北极大哲水蚤（C. hyperboreus），数据下载自海洋生物信息系统（Ocean Biodiversity Information System, OBIS）及全球生物多样性信息设施（Global Biodiversity Information Facility, GBIF）数据库。该数据集的采样时间跨度约150年（1870年—2017年），采样区域位于北纬30°至90°之间，采样深度涵盖表层至5000米水深。每条物种出现记录均匹配了物理环境参数（水深地形，bathymetry）与环境参数（海水温度及海冰浓度）。配套HTML文件提供了本研究发表所用的数据处理、分析及图表制作的带注释源代码，相关研究为Freer JJ与Tarling GA于2023年发表的《评估北极及北方哲水蚤分布与生活史的关键影响因素：在线数据库能否应对这一挑战？》，刊载于《海洋科学前沿》（Front. Mar. Sci.）10卷：908112。本研究由DIAPOD（NE/P006213/1）与CHASE（NE/R012687/1）项目资助，隶属于“变化的北冰洋”（Changing Arctic Ocean）计划；其中DIAPOD项目由英国研究与创新总署自然环境研究理事会（UKRI Natural Environment Research Council, NERC）资助，CHASE项目由NERC与德国联邦教育与研究部（Bundesministerium für Bildung und Forschung, BMBF）联合资助。此外，本研究还获得了自然环境研究理事会资助的BIOPOLE国家能力多中心第二轮项目经费（NE/W004933/1）支持。