Harvard Forest site, station Providence County, RI (FIPS 44007), study of population (urban) 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 Harvard Forest (HFR)
contains population (urban) measurements in number units
and were aggregated to a yearly timescale.

EcoTrends项目由德布拉·彼得斯博士（Jornada盆地长期生态研究站点，Long-Term Ecological Research, LTER，美国农业部农业研究服务局Jornada实验牧场）与阿里尔·卢戈博士（Luquillo长期生态研究站点，Long-Term Ecological Research, LTER，美国农业部林务局Luquillo实验森林）于2004年创立，旨在支持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，致力于提升长期生态数据的可获取性与应用水平。目前，约有50个由州级与联邦政府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获取工作。作为长期生态研究溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture, PASTA）的组成部分，正在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Jornada LTER站点与LTER网络办公室联合开发。本次提供的哈佛大学森林（Harvard Forest, HFR）数据集包含以数值为单位的城市人口测量数据，且已按年时间尺度完成聚合。