Harvard Forest site, station Albany County, NY (FIPS 36001), study of percent urban population 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 Harvard Forest (HFR)
contains percent urban population measurements in percent units
and were aggregated to a yearly timescale.

EcoTrends项目由黛布拉·彼得斯博士（Jornada Basin长期生态研究站，USDA-ARS Jornada试验牧场）与阿里尔·卢戈博士（Luquillo长期生态研究站，USDA-FS Luquillo试验林）于2004年发起创立，旨在支撑长期生态数据集的收集与分析工作。
本项目是一项大型综合研究计划，核心目标为提升长期生态数据的可获取性与利用率。当前共有约50个州级及联邦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（Long-Term Ecological Research, LTER）站点，以及由美国农业部农业研究服务局（USDA Agricultural Research Service, ARS）、美国农业部林务局、美国能源部、美国地质调查局（US Geological Survey, USGS）及多所高校资助的站点。
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，支持用户持续开展数据整合与访问操作。
作为LTER溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture, PASTA）的组成部分，持续进行的数据整合工作通过手动与自动两种处理方式完成更新。
本网络门户是Jornada LTER与LTER网络办公室的合作成果。
本次提供的哈佛大学森林（Harvard Forest, HFR）数据集包含以百分比为单位的城镇人口占比数据，且已聚合至年度时间尺度。