Reynolds Creek Experimental Watershed site, station NADP Station ID11, Reynolds Creek, ID, study of sulfur from sulfate in wet deposition in units of kilogramsPerHectare 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 Reynolds Creek Experimental Watershed (RCE)
contains sulfur from sulfate in wet deposition measurements in kilogramsPerHectare units
and were aggregated to a monthly timescale.

生态趋势（EcoTrends）项目由黛布拉·彼得斯博士（任职于约尔达盆地长期生态研究（Long-Term Ecological Research，简称LTER）站点、美国农业部农业研究服务局（USDA-ARS）约尔达实验牧场）与阿里尔·卢戈博士（任职于卢奎洛LTER站点、美国农业部林务局（USDA-FS）卢奎洛实验林）于2004年发起成立，旨在支撑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，核心目标是提升长期生态数据的可获取性与复用率。目前已有约50个州级与联邦资助的研究站点参与其中并为生态趋势项目贡献数据，其中涵盖全部26个LTER站点，以及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）资助的站点与众多高校相关站点。生态趋势项目的数据可通过探索型网络门户（http://www.ecotrends.info）获取，该门户依托交互式网页应用程序，支持用户持续开展数据整合与数据获取工作。依托长期生态研究溯源感知综合跟踪架构（PASTA），项目通过人工与自动双重处理流程持续更新数据整合成果。该网络门户由约尔达盆地LTER站点与LTER网络办公室联合开发。本数据集源自雷诺兹溪实验流域（RCE），包含湿沉降中硫酸盐形态硫的含量数据，单位为千克/公顷，且已聚合至月度时间尺度。