Konza Prairie site, station Morris County, KS (FIPS 20127), 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 Konza Prairie (KNZ)
contains human population (total) measurements in number units
and were aggregated to a yearly timescale.

EcoTrends项目由黛布拉·彼得斯博士（乔达纳盆地长期生态研究站点（Jornada Basin LTER），美国农业部农业研究局乔达纳实验牧场）与阿里尔·卢戈博士（卢奎洛长期生态研究站点（Luquillo LTER），美国农业部林业局卢奎洛实验森林）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。本项目属于大型综合研究计划，核心目标在于提升长期生态数据的可获取性与实际应用价值。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，以下简称LTER）站点，以及由美国农业部农业研究局（USDA Agriculture Research Service，以下简称ARS）、美国农业部林业局、美国能源部、美国地质调查局（US Geological Survey，以下简称USGS）与众多高校资助的研究站点。EcoTrends项目的数据集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工作并获取相关数据。作为长期生态研究溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture，以下简称PASTA）的组成部分，持续推进的数据汇编工作将通过手动与自动两种处理方式完成更新。本网络门户由乔达纳LTER站点与LTER网络办公室联合开发。以下来自康扎草原（Konza Prairie，以下简称KNZ）的数据集包含以数量为单位的总人口统计数据，且已聚合至年度时间尺度。