North Temperate Lakes site, station Lake Monona, study of animal abundance of Lepisosteus osseus 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 Lepisosteus osseus measurements in numberPerEffort units and were aggregated to a yearly timescale.EcoTrends项目由Debra Peters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局约拿实验牧场）与Ariel Lugo博士（卢基略长期生态研究网（LTER），美国农业部林业局卢基略实验森林）于2004年创立，旨在支撑长期生态数据集的采集与分析工作。本项目属于大型综合研究计划，核心目标为提升长期生态数据的可获取性与应用价值。目前，共有约50个由州政府与联邦政府资助的研究站点参与并为EcoTrends项目贡献数据，其中涵盖全部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（USGS）及众多高校资助的研究站点。EcoTrends项目的数据集可通过探索性网络门户（http://www.ecotrends.info）获取。该门户依托交互式Web应用程序，可为用户持续提供数据整合与数据访问服务。作为LTER溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture, PASTA）的组成部分，持续进行的数据整合工作通过手动与自动两种处理方式完成更新。该网络门户由约拿LTER站点与LTER网络办公室联合开发运营。本项来自北温带湖泊（North Temperate Lakes, NTL）的数据集包含长吻雀鳝（Lepisosteus osseus）的种群丰度数据，单位为单位采样努力量（numberPerEffort），且已按年尺度完成聚合。