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Latest News

DataONE welcomes ESS-DIVE to the Network

ESS-DIVE (Environmental System Science Data Infrastructure for a Virtual Ecosystem) serves as a repository for hundreds of U.S. Department of Energy (DOE)-funded research projects focusing on terrestrial and subsurface ecosystems. Designed as a scalable framework, ESS-DIVE incentivizes data providers to contribute well-structured, high-quality data and enables the user community to easily build data processing, synthesis, and analysis capabilities using those data.

PANGAEA Joins as the Latest Member Node in the DataONE Network

PANGAEA is an open access data publisher for Earth & environmental science supporting the long-term archiving and publication of georeferenced data related to environmental sciences. As a DataONE Member Node, PANGAEA makes discoverable metadata for approximately 370,000 data sets comprising more than 12 billion data objects. These include numerical and textual data in addition to image and video data, each as a georeferenced record that contains parameter value, parameter type, and spatial and temporal coverage.

Spring 2018 Newsletter

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The Spring 2018 issue of DataONENews is now available. Features Include:

"Challenging and Changing the Way Science is Conducted" - Bill Michener, PI editorial
CyberInfrastructure Update
Member Node Description: the Organization for Tropical Studies NeoTropical Data Center
Outreach Update
DataONE Users Group Meeting annoucement
By The Numbers

Download the Newsletter: 

DataONE Welcomes the Organization for Tropical Studies NeoTropical Data Center to the Network

The Organization for Tropical Studies NeoTropical Data Center (OTS-NDC) is a major generator of data on tropical and subtropical ecosystems. By participating in the DataONE network, OTS-NDC now exposes more than 600,000 records of meteorological data to the broader DataONE community, contributing to a total of 38TB of data available through DataONE across 42 member nodes. OTS works to encourage researchers to share important resources, including long-term and new data sets.


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