North Temperate Lakes site, station Big Muskellunge Lake, study of animal abundance of Orconectes in units of numberPerEffort on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Orconectes measurements in numberPerEffort units and were aggregated to a yearly timescale.

EcoTrends项目由黛布拉·彼得斯博士（约拿盆地长期生态研究网（Long-Term Ecological Research, LTER），美国农业部农业研究服务局（USDA-ARS）约拿实验牧场）与阿里尔·卢戈博士（卢奎洛长期生态研究网（Long-Term Ecological Research, LTER），美国农业部林业局（USDA-FS）卢奎洛实验林）于2004年创立，旨在支撑长期生态数据集的采集与分析工作。该项目是一项大型综合研究工作，致力于提升长期数据的可获取性与应用价值。目前约有50个由州政府及联邦政府资助的研究站点参与并向EcoTrends项目贡献数据，其中包含全部26个长期生态研究（Long-Term Ecological Research, LTER）站点，以及由美国农业部农业研究服务局（ARS）、美国农业部林业局、美国能源部、美国地质调查局（US Geological Survey, USGS）及众多高校资助的站点。EcoTrends项目的数据集可通过探索性网络门户（http://www.ecotrends.info）获取。该门户借助交互式网络应用程序，支持用户持续进行数据汇编与数据访问。作为长期生态研究网溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture, PASTA）的组成部分，持续开展的数据汇编工作通过人工与自动处理两种方式进行更新。该网络门户为约拿盆地LTER与LTER网络办公室的合作成果。本次提供的北温带湖泊（North Temperate Lakes, NTL）数据集，包含以单位采样努力量（numberPerEffort）为计量单位的螯虾属（Orconectes）动物丰度数据，且已聚合至年度时间尺度。