Sevilleta site, station Valencia County, NM (FIPS 35061), study of human population density in units of numberPerKilometerSquared 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 Sevilleta (SEV)
contains human population density measurements in numberPerKilometerSquared units
and were aggregated to a yearly timescale.

EcoTrends项目于2004年由德布拉·彼得斯博士（约拿盆地长期生态研究网[Jornada Basin LTER]，美国农业部农业研究服务局[USDA-ARS]约拿实验牧场）与阿里尔·卢戈博士（卢奎略长期生态研究网[Luquillo LTER]，美国农业部森林服务局卢奎略实验森林）创立，旨在支撑长期生态数据集的收集与分析工作。
该项目是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获取性与利用率。目前已有约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，其中包含全部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）、美国农业部森林服务局、美国能源部、美国地质调查局（USGS）及众多高校资助的站点。
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网络应用程序，支持用户持续开展数据汇编与数据共享工作。
作为长期生态研究网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方式完成更新。该网络门户由约拿LTER与LTER网络办公室合作开发。
本次提供的塞维列塔（Sevilleta, SEV）数据集包含以每平方千米为单位的人口密度测量值，且已按年度时间尺度进行聚合。