North Temperate Lakes site, station Trout Lake, study of animal abundance of Orconectes propinquus 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 propinquus measurements in numberPerEffort units
and were aggregated to a yearly timescale.

EcoTrends项目由黛布拉·彼得斯博士（乔纳达盆地长期生态研究站（Long-Term Ecological Research, LTER），美国农业部农业研究局（USDA-ARS）乔纳达实验牧场）与阿里尔·卢戈博士（卢奎洛长期生态研究站（Long-Term Ecological Research, LTER），美国农业部林务局（USDA-FS）卢奎洛实验森林）于2004年发起创立，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计划，核心目标是提升长期生态数据的可获取性与应用效能。
目前共有约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，其中涵盖全部26个长期生态研究站点，以及美国农业部农业研究局（ARS）、美国农业部林务局、美国能源部、美国地质调查局（USGS）下属站点与众多高等院校的相关站点。
EcoTrends项目的数据集可通过探索性网络门户（http://www.ecotrends.info）获取。该网络门户搭载交互式网络应用程序，支持用户持续开展数据整合与数据获取工作。
作为LTER溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture, PASTA）的组成部分，正在推进的数据整合工作通过人工处理与自动处理两种方式定期更新。
该网络门户由乔纳达LTER站点与LTER网络办公室联合开发。
本次公开的数据集源自北温带湖泊（NTL），包含以单位采样努力量为计量单位的近岸螯虾（Orconectes propinquus）种群丰度实测数据，并已按年度时间尺度进行聚合。