Konza Prairie site, station NADP Station KS31, Konza Prairie, KS, study of ammonium in precipitation (volume-weighted concentration) in units of milligramsPerLiter on a monthly 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 ammonium in precipitation (volume-weighted concentration) measurements in milligramsPerLiter units and were aggregated to a monthly timescale.

EcoTrends项目由Debra Peters博士（乔纳达盆地长期生态研究网[LTER]，美国农业部农业研究局乔纳达实验牧场）与Ariel Lugo博士（卢奎洛长期生态研究网[LTER]，美国农业部林务局卢奎洛实验林）于2004年创立，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，核心目标为提升长期生态数据的可获取性与应用价值。目前共有约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（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，该门户依托交互式网页应用，支持用户持续开展数据整合与数据获取工作。作为LTER溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture, PASTA）的组成部分，其常态化数据整合工作通过人工与自动双重处理机制完成更新。本网络门户由乔纳达LTER与LTER网络办公室联合开发。以下来自康扎草原（Konza Prairie, KNZ）的数据集，包含以毫克每升为单位的降水中铵离子（体积加权浓度）测量数据，且已被聚合至月度时间尺度。