Kellogg Biological Station site, station Barry County, MI (FIPS 26015), study of population employed at farms (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 at farms (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（乔纳达盆地长期生态研究站，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，USDA-FS卢奎洛实验林）于2004年发起，旨在支撑长期生态数据集的采集与分析工作。本项目为大型综合研究工作，核心目标是提升长期生态学数据的可获取性与复用率。目前共有约50个州级与联邦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局（ARS）、美国农业部林务局、美国能源部、美国地质调查局（USGS）与众多高校资助的各类站点。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，持续进行的数据汇编工作通过手动与自动两种处理流程完成更新。本网络门户由乔纳达LTER站与LTER网络办公室联合打造。本次提供的凯洛格生物站（Kellogg Biological Station, KBS）数据集，包含农场雇佣人口占总就业人口比例的百分比型测量值，且已按年度时间尺度完成聚合。