遇见数据集

Baltimore Ecosystem Study LTER site, station Anne Arundel County, MD (FIPS 24003), study of number of farms in units of number on a yearly timescale

收藏
DataONE2015-02-24 更新2024-06-27 收录
官方服务:

资源简介:

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 Baltimore Ecosystem Study LTER (BES) contains number of farms measurements in number units and were aggregated to a yearly timescale.

EcoTrends项目于2004年由黛布拉·彼得斯博士(约拿盆地长期生态研究网,USDA-ARS约拿实验牧场)与阿里尔·卢戈博士(卢奎洛长期生态研究网,USDA-FS卢奎洛实验林)创立,旨在支持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工作,致力于提升长期数据的可访问性与利用率。目前,约有50个由州级与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,LTER)站点,以及由美国农业部农业研究服务局(USDA Agriculture 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)与众多高校资助的站点。EcoTrends项目的数据集可通过探索性网络门户(http://www.ecotrends.info)获取。该网络门户通过交互式Web应用程序,支持用户持续开展数据汇编与数据访问工作。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)的一部分,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。该网络门户是约拿LTER站点与LTER网络办公室的合作成果。以下来自巴尔的摩生态系统研究长期生态研究网(Baltimore Ecosystem Study LTER,BES)的数据集,包含以若干单位计量的农场数量统计数据,并已按年度时间尺度进行聚合。

创建时间:
2015-03-10
二维码
社区交流群
二维码
科研交流群
商业服务