Kellogg Biological Station site, station Ionia County, MI (FIPS 26067), study of population employed in commerce (percent of total) in units of percent 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 Kellogg Biological Station (KBS)
contains population employed in commerce (percent of total) measurements in percent units
and were aggregated to a yearly timescale.

EcoTrends项目由黛布拉·彼得斯博士（霍纳达盆地长期生态研究网（Long-Term Ecological Research, LTER），美国农业部农业研究局Jornada试验牧场）与阿里尔·卢戈博士（卢奎洛长期生态研究网，美国农业部林业局卢奎洛试验林）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计划，核心目标是提升长期生态数据的可获取性与使用效率。目前，已有约50个由州政府与联邦政府资助的研究站点参与EcoTrends项目并贡献数据，其中涵盖全部26个长期生态研究网站点，以及由美国农业部农业研究局（ARS）、美国农业部林业局、美国能源部、美国地质调查局（USGS）与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。该网络门户依托交互式网络应用程序，支持用户持续开展数据汇编与数据访问工作。
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，持续进行的数据汇编工作通过人工与自动两种处理方式完成更新。
该网络门户由霍纳达盆地长期生态研究网与长期生态研究网网络办公室联合开发。
来自凯洛格生物站（Kellogg Biological Station, KBS）的以下数据集，包含商业从业人口占总就业人口的百分比测量数据，且以百分比为单位，已按年时间尺度完成聚合。