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Found 10 result(s)

International Forestry Resources and Institutions

IFRI

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The IFRI research network examines how governance arrangements affect forests and the people who depend on them. It is comprised of 14 Collaborating Research Centers located around the globe. Researchers use a common data collection method to ensure that sites can be compared across space and time. The IFRI database contains information about biodiversity, livelihoods, institutions, and forest carbon for over 250 sites in 15 countries between 1992 and the present.

Experimental Lakes Area

IISD - ELA

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IISD Experimental Lakes Area is one of the world’s most influential freshwater research facilities. It features a collection of 58 small lakes and their watersheds in Northwestern Ontario, Canada, as well as a facility with accommodations and laboratories for up to 60 personnel.

vegetweb

das Vegetationsportal für Deutschland

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Database and data handling portal for vegetation data from Germany.

KBase

KBase: The U.S. Department of Energy Systems Biology Knowledgebase

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The Department of Energy Systems Biology Knowledgebase (KBase) is a software and data platform designed to meet the grand challenge of systems biology: predicting and designing biological function. KBase integrates data and tools in a unified graphical interface so users do not need to access them from numerous sources or learn multiple systems in order to create and run sophisticated systems biology workflows. Users can perform large-scale analyses and combine multiple lines of evidence to model plant and microbial physiology and community dynamics. KBase is the first large-scale bioinformatics system that enables users to upload their own data, analyze it (along with collaborator and public data), build increasingly realistic models, and share and publish their workflows and conclusions. KBase aims to provide a knowledgebase: an integrated environment where knowledge and insights are created and multiplied.

National Vegetation Survey Databank

NVS

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The National Vegetation Survey (NVS) Databank is a physical archive and electronic databank containing records of over 121,000 vegetation survey plots - including data from over 25,000 permanent plots in New Zealand. The data can be explored online and requested for download. The NVS Databank provides data spanning more than 60 years of indigenous and exotic plant plot records from throughout New Zealand's terrestrial ecosystems. The physical archive includes plot sheets, maps, and photographs from many years of vegetation surveys. Purpose-built software for entering, validating and summarising data is available. NVS is accorded the status of a Nationally Significant database and upkeep and maintenance is supported by Core funding for Crown Research Institutes from the NZ Ministry of Business, Innovation and Employment.

GLOBE

Global Collaboration Engine

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GLOBE (Global Collaboration Engine) is an online collaborative environment that enables land change researchers to share, compare and integrate local and regional studies with global data to assess the global relevance of their work.

IonomicHub

iHUB

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<<<!!!<<<This repository is no longer available>>>!!!>>>

HJ Andrews Experimental Forest

HJA

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The Andrews Forest is a place of inquiry. Our mission is to support research on forests, streams, and watersheds, and to foster strong collaboration among ecosystem science, education, natural resource management, and the humanities. Our place and our work are administered cooperatively by the USDA Forest Service's Pacific Northwest Research Station, Oregon State University, and the Willamette National Forest. First established in 1948 as an US Forest Service Experimental Forest, the H.J. Andrews is a 16,000-acre ecological research site in Oregon's beautiful western Cascades Mountains. The landscape is home to iconic Pacific Northwest old-growth forests of Cedar and Hemlock, and moss-draped ancient Douglas Firs; steep terrain; and fast, cold-running streams. In 1980 the Andrews became a charter member of the National Science Foundation's Long-Term Ecological Research (LTER) Program.

datacommons@psu

Penn State Data Commons

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The datacommons@psu was developed in 2005 to provide a resource for data sharing, discovery, and archiving for the Penn State research and teaching community. Access to information is vital to the research, teaching, and outreach conducted at Penn State. The datacommons@psu serves as a data discovery tool, a data archive for research data created by PSU for projects funded by agencies like the National Science Foundation, as well as a portal to data, applications, and resources throughout the university. The datacommons@psu facilitates interdisciplinary cooperation and collaboration by connecting people and resources and by: Acquiring, storing, documenting, and providing discovery tools for Penn State based research data, final reports, instruments, models and applications. Highlighting existing resources developed or housed by Penn State. Supporting access to project/program partners via collaborative map or web services. Providing metadata development citation information, Digital Object Identifiers (DOIs) and links to related publications and project websites. Members of the Penn State research community and their affiliates can easily share and house their data through the datacommons@psu. The datacommons@psu will also develop metadata for your data and provide information to support your NSF, NIH, or other agency data management plan.

DEIMS-SDR

Dynamic Ecological Information Management System - Site and Dataset Registry

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DEIMS-SDR (Dynamic Ecological Information Management System - Site and dataset registry) is an information management system that allows you to discover long-term ecosystem research sites around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR describes a wide range of sites, providing a wealth of information, including each site’s location, ecosystems, facilities, parameters measured and research themes. It is also possible to access a growing number of datasets and data products associated with the sites. All sites and dataset records can be referenced using unique identifiers that are generated by DEIMS-SDR. It is possible to search for sites via keyword, predefined filters or a map search. By including accurate, up to date information in DEIMS, site managers benefit from greater visibility for their LTER site, LTSER platform and datasets, which can help attract funding to support site investments. The aim of DEIMS-SDR is to be the globally most comprehensive catalogue of environmental research and monitoring facilities, featuring foremost but not exclusively information about all LTER sites on the globe and providing that information to science, politics and the public in general.