Harvard Forest site, station Addison County, VT (FIPS 50001), study of human population (total) 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 human population (total) measurements in number units
and were aggregated to a yearly timescale.

EcoTrends项目由Debra Peters博士（约拿盆地长期生态研究网络[Long-Term Ecological Research, LTER]，美国农业部农业研究局约拿实验牧场）与Ariel Lugo博士（卢基略长期生态研究网络[Long-Term Ecological Research, LTER]，美国农业部林务局卢基略实验森林）于2004年发起创立，旨在支撑长期生态数据集的采集与分析工作。本项目为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及性与应用效能。目前共有约50个由州政府及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（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）及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Web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，持续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。该网络门户由约拿盆地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总人口统计数据，且已按年度时间尺度完成聚合。