Santa Barbara Coastal site, station Goleta Bay, Santa Barbara Channel, study of animal density of Embiotoca in units of numberPerMeterSquared 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 Santa Barbara Coastal (SBC)
contains animal density of Embiotoca measurements in numberPerMeterSquared units
and were aggregated to a yearly timescale.

EcoTrends项目由黛布拉·彼得斯博士（Jornada盆地长期生态研究站（Long-Term Ecological Research, LTER），美国农业部农业研究局（USDA-ARS）Jornada实验牧场）与阿里尔·卢戈博士（卢奎洛长期生态研究站（Long-Term Ecological Research, LTER），美国农业部林业局（USDA-FS）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。本项目为大型综合研究项目，核心目标是提升长期生态数据的可访问性与使用效率。当前共有约50个州级与联邦资助的研究站点参与并向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，以及美国农业部农业研究局（ARS）、美国农业部林业局、美国能源部、美国地质调查局（USGS）与众多高校资助的相关站点。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Web应用程序，支持用户持续开展数据汇编与数据获取工作。作为溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture, PASTA）的组成部分，常态化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Jornada LTER与LTER网络办公室的合作成果。以下来自圣巴巴拉海岸（Santa Barbara Coastal, SBC）的数据集，包含以numberPerMeterSquared（每平方米数量）为单位的海鲫属（Embiotoca）动物密度测量数据，且已按年度时间尺度进行聚合。