Baltimore Ecosystem Study LTER site, station Harford County, MD (FIPS 24025), study of number of farms in units of number 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 Baltimore Ecosystem Study LTER (BES)
contains number of farms measurements in number units
and were aggregated to a yearly timescale.

EcoTrends项目由黛布拉·彼得斯博士（约拿盆地长期生态研究网，USDA-ARS约拿实验牧场）与阿里尔·卢戈博士（卢奎洛长期生态研究网，USDA-FS卢奎洛实验森林）于2004年创立，旨在支撑长期生态数据集的采集与分析工作。该项目属于大型综合研究计划，核心目标是提升长期生态数据的可获取性与应用效能。目前已有约50个州立及联邦资助的研究站点参与并向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，简称LTER）站点，以及由美国农业部农业研究服务局（USDA Agricultural Research Service，简称ARS）、美国农业部林务局（USDA Forest Service，简称FS）、美国能源部、美国地质调查局（United States Geological Survey，简称USGS）与众多高校资助的研究站点。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网页应用，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，简称PASTA）的组成部分，持续推进的数据整合工作通过手动与自动两种处理方式实现更新。该网络门户由约拿LTER站点与LTER网络办公室合作开发。以下来自巴尔的摩生态系统研究长期生态研究网（Baltimore Ecosystem Study LTER，简称BES）的数据集，包含以若干计量单元统计的农场数量，并已按年际时间尺度完成聚合处理。