Paradinium-Oithona annotated images and count data

Human annotated images, machine learning derived count data, and environmental data associated with our paper " Discovery and dynamics of a cryptic marine copepod-parasite interaction" published in Marine Ecology Progress Series. The work is based on imagery generated by the Scripps Plankton Camera System deployed at the Scripps Pier in La Jolla, California, USA. This repository contains: <strong>human_annotated_SPC_data.zip </strong>- Regions of Interested collected by the SPC sorted by a human expert into relevant classes: Oithona, Oithona with parasite, and Oithona with eggs. Access to the "other" class is available upon request. <strong>corrected_counts_091817.txt</strong> - Count data from the summer of 2015 generated a fine tuned deep neural network with associated human corrected counts. <strong>oith_parasite_081420.txt </strong>-<strong> </strong>Count data from March 2015 - April 2016. Data collected after August 2015 is machine generated and should considered a maximum estimate of relative abundance. <strong>autoss_a8bc_287c_07d6.csv </strong>- Environmental data measured by the automated shore station deployed at Scripps Pier and maintained the Southern California Coastal Ocean Observing System. Complete shore station data can be accessed via NOAA ERDDAP.<strong> </strong>本数据集关联发表于《Marine Ecology Progress Series》的论文《隐匿海洋桡足类与寄生虫的相互作用动态》（"Discovery and dynamics of a cryptic marine copepod-parasite interaction"），包含人类标注图像、机器学习衍生计数数据与配套环境数据。本研究依托部署于美国加利福尼亚州拉霍亚斯克里普斯码头（Scripps Pier）的斯克里普斯浮游生物摄像系统（Scripps Plankton Camera System, SPCS）生成的影像资料开展。本数据集仓库包含以下内容：<strong>human_annotated_SPC_data.zip</strong>：经人类专家按类别标注的SPCS采集的感兴趣区域，类别包括宽水蚤属（Oithona）个体、携带寄生虫的宽水蚤属个体以及携带卵块的宽水蚤属个体。如需访问“其他”类别，可提出申请。<strong>corrected_counts_091817.txt</strong>：2015年夏季的计数数据，由经过微调的深度神经网络生成，并经人类专家校正。<strong>oith_parasite_081420.txt</strong>：2015年3月至2016年4月的计数数据。2015年8月之后采集的数据为机器学习生成结果，仅可作为相对丰度的上限估计值。<strong>autoss_a8bc_287c_07d6.csv</strong>：由部署于斯克里普斯码头的自动化海岸站采集的环境数据，该站点由南加州沿海海洋观测系统（Southern California Coastal Ocean Observing System, SCCOOS）维护。完整的海岸站数据可通过NOAA ERDDAP获取。