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Found 15 result(s)
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The project brings together national key players providing environmentally related biological data and services to develop the ‘German Federation for Biological Data' (GFBio). The overall goal is to provide a sustainable, service oriented, national data infrastructure facilitating data sharing and stimulating data intensive science in the fields of biological and environmental research.
This interface provides access to several types of data related to the Chesapeake Bay. Bay Program databases can be queried based upon user-defined inputs such as geographic region and date range. Each query results in a downloadable, tab- or comma-delimited text file that can be imported to any program (e.g., SAS, Excel, Access) for further analysis. Comments regarding the interface are encouraged. Questions in reference to the data should be addressed to the contact provided on subsequent pages.
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Open Research Data provides quality assessed data and their metadata such as context information on measurement objectives, equipment, methods, testing and investigation areas. The purpose of the repository is to secure quality, integrity and long-term availability of landscape and ecosystem research data as well as to enhance accessibility of free data from ZALF long-term monitoring campaigns, landscape laboratories (Agro-ScapeLabs), field trials and experiments. The Leibniz Centre for Agricultural Landscape Research (ZALF) explores ecosystems in agricultural landscapes and the development of ecologically and economically viable land use systems. ZALF combines scientific expertise from agricultural science, geosciences, biosciences and socio-economics.
The Environmental Data Initiative Repository concentrates on studies of ecological processes that play out at time scales spanning decades to centuries including those of the NSF Long Term Ecological Research (LTER) program, the NSF Macrosystems Biology Program, the NSF Long Term Research in Environmental Biology (LTREB) program, the Organization of Biological Field Stations, and others. The repository hosts data that provide a context to evaluate the nature and pace of ecological change, to interpret its effects, and to forecast the range of future biological responses to change.
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The arctic data archive system (ADS) collects observation data and modeling products obtained by various Japanese research projects and gives researchers to access the results. By centrally managing a wide variety of Arctic observation data, we promote the use of data across multiple disciplines. Researchers use these integrated databases to clarify the mechanisms of environmental change in the atmosphere, ocean, land-surface and cryosphere. That ADS will be provide an opportunity of collaboration between modelers and field scientists, can be expected.
The Avian Knowledge Network (AKN) is an international network of governmental and non-governmental institutions and individuals linking avian conservation, monitoring and science through efficient data management and coordinated development of useful solutions using best-science practices based on the data.
SeedMe is a result of a decade of onerous experience in preparing and sharing visualization results from supercomputing simulations with many researchers at different geographic locations using different operating systems. It’s been a labor–intensive process, unsupported by useful tools and procedures for sharing information. SeedMe provides a secure and easy-to-use functionality for efficiently and conveniently sharing results that aims to create transformative impact across many scientific domains.
The Forest Service Research Data Archive is an actively curated repository for the long-term preservation and distribution of citable research data sets that are broadly relevant to forest and grassland ecology, and the economic and social interactions of humans with these ecosystems. Most data sets were created by U.S. Forest Service scientists or by scientists funded through the U.S. Forest Service or the U.S. Joint Fire Science Program.
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.
The goal of NGEE–Arctic is to reduce uncertainty in projections of future climate by developing and validating a model representation of permafrost ecosystems and incorporating that representation into Earth system models. The new modeling capabilities will improve our confidence in model projections and will enable scientist to better respond to questions about processes and interactions now and in the future. It also will allow them to better communicate important results concerning climate change to decision makers and the general public. And let's not forget about summer in the Antarctic, which happens during our winter months.
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openLandscapes is an open access information portal for landscape research. Amongst other things, the platform provides information about current research projects. In addition, it offers the scientific community the possibility to maintain a Wiki on landscape-related contents and to make available future primary data from landscape research. In openLandscapes, all technical contents are stored and organised in a networked manner, enabling technical terms to be linked to experts or institutions, as well as to data in the future.