North Temperate Lakes site, station Big Muskellunge Lake, study of animal abundance of Lota lota 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 Lota lota 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（Jornada Basin LTER）、美国农业部农业研究服务局乔纳达实验牧场（USDA-ARS Jornada Experimental Range））与阿里尔·卢戈博士（卢奎洛长期生态研究站（Luquillo LTER）、美国农业部林务局卢奎洛实验林（USDA-FS Luquillo Experimental Forest））于2004年发起成立，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，核心聚焦于提升长期数据的可获取性与利用率。目前，已有约50个由州政府及联邦政府资助的研究站点参与并为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）、美国农业部林务局、美国能源部、美国地质调查局（USGS）和众多高校资助的站点。
EcoTrends项目的数据可通过探索性网络门户（http://www.ecotrends.info）获取。该网络门户依托交互式Web应用程序，为用户提供持续的数据汇编与数据获取服务。
作为LTER溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture, PASTA）的组成部分，持续推进的数据汇编工作通过手动与自动两种处理方式完成更新。
该网络门户由乔纳达LTER站点与LTER网络办公室合作开发。
本次提供的北温带湖泊（North Temperate Lakes, NTL）数据集包含以每单位捕获量数量为单位的江鳕（Lota lota）丰度测量数据，且已按年际时间尺度完成聚合。