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Found 12 result(s)

OEDI

Open Energy Data Initiative

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OEDI is a centralized repository of high-value energy research datasets aggregated from the U.S. Department of Energy’s Programs, Offices, and National Laboratories. Built to enable data discoverability, OEDI facilitates access to a broad network of findings, including the data available in technology-specific catalogs like the Geothermal Data Repository and Marine Hydrokinetic Data Repository.

KNB Data Repository

Knowledge Network for Biocomplexity

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The KNB Data Repository is an international repository intended to facilitate ecological, environmental and earth science research in the broadest senses. For scientists, the KNB Data Repository is an efficient way to share, discover, access and interpret complex ecological, environmental, earth science, and sociological data and the software used to create and manage those data. Due to rich contextual information provided with data in the KNB, scientists are able to integrate and analyze data with less effort. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The KNB supports rich, detailed metadata to promote data discovery as well as automated and manual integration of data into new projects. The KNB supports a rich set of modern repository services, including the ability to assign Digital Object Identifiers (DOIs) so data sets can be confidently referenced in any publication, the ability to track the versions of datasets as they evolve through time, and metadata to establish the provenance relationships between source and derived data.

4TU.ResearchData | science.engineering.design

formerly: 4TU.Centre for Research Data

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4TU.ResearchData, previously known as 4TU.Centre for Research Data, is a research data repository dedicated to the science, engineering and design disciplines. It offers the knowledge, experience and the tools to manage, publish and find scientific research data in a standardized, secure and well-documented manner. 4TU.ResearchData provides the research community with: Customised advice and support on research data management; A long-term repository for scientific research data; Support for current research projects; Tools to enhance reuse of research data.

MHKDR

Marine and Hydrokinetic Data Repository

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The MHKDR is the repository for all data collected using funds from the Water Power Technologies Office (WPTO) of the U.S. Department of Energy (DOE). It was established to receive, manage, and make available all water power relevant data generated from projects funded by the DOE Water Power Technologies Office. This includes data from WPTO-funded projects associated with any portion of the water power project life-cycle (exploration, development, operation), as well as data produced by WPTO-funded research.

The CEDA Archive

British Atmospheric Data Centre (formerly)

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The Natural Environment Research Council's Data Repository for Atmospheric Science and Earth Observation. The Centre for Environmental Data Analysis (CEDA) serves the environmental science community through three data centres, data analysis environments, and participation in a host of relevant research projects. We aim to support environmental science, further environmental data archival practices, and develop and deploy new technologies to enhance access to data. Additionally we provide services to aid large scale data analysis.

Biological and Chemical Oceanography Data Management Office

BCO-DMO

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The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and the Division of Polar Programs Antarctic Organisms & Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archive with appropriate national facilities.

Global Terrestrial Network for Permafrost

GTN-P Database

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The GTN-P database is an object-related database open for a diverse range of data. Because of the complexity of the PAGE21 project, data provided in the GTN-P management system are extremely diverse, ranging from active-layer thickness measurements once per year to flux measurement every second and everthing else in between. The data can be assigned to two broad categories: Quantitative data which is all data that can be measured numerically. Quantitative data comprise all in situ measurements, i.e. permafrost temperatures and active layer thickness (mechanical probing, frost/thaw tubes, soil temperature profiles). Qualitative data (knowledge products) are observations not based on measurements, such as observations on soils, vegetation, relief, etc.

Geothermal Data Repository

GDR

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The GDR is the submission point for all data collected from researchers funded by the U.S. Department of Energy's Geothermal Technologies Office. It was established to receive, manage, and make available all geothermal-relevant data generated from projects funded by the DOE Geothermal Technologies Office. This includes data from GTO-funded projects associated with any portion of the geothermal project life-cycle (exploration, development, operation), as well as data produced by GTO-funded research.

The International Research Institute for Climate and Society

IRI Data Library

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International Research Institute for Climate and Society (IRI) research focuses on climate, environmental monitoring, agriculture, health, water, and economic sectors in Africa, Asia and Pacific, and Latin America and Caribbean. The IRI data library is a freely accessible data repository and analysis tool. IRI allows users to view, manipulate, and download climate-related data sets through a standard web browser.

HydroShare

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HydroShare is a system operated by The Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) that enables users to share and publish data and models in a variety of flexible formats, and to make this information available in a citable, shareable and discoverable manner. HydroShare includes a repository for data and models, and tools (web apps) that can act on content in HydroShare providing users with a gateway to high performance computing and computing in the cloud. With HydroShare you can: share data and models with colleagues; manage access to shared content; share, access, visualize, and manipulate a broad set of hydrologic data types and models; publish data and models and obtain a citable digital object identifier (DOI); aggregate resources into collections; discover and access data and models published by others; use the web services application programming interface (API) to programmatically access resources; and use integrated web applications to visualize, analyze and run models with data in HydroShare.

Australian Ocean Data Network Portal

AODN

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Australian Ocean Data Network (AODN) provides data collected by the Australian marine community. AODN's data is searchable via map interface and metadata catalogue. AODN is Australia's exhaustive repository for marine and climate data. AODN has merged with IMOS eMarine Information Infrastructure (eMII) Facility in May 2016. IMOS is a multi-institutional collaboration with a focus on open data access. It is ideally placed to manage the AODN on behalf of the Australian marine and climate community.

SAMD

Standardized Atmospheric Measurement Data

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SAMD is a repository for Standardized Atmospheric Measurement Data: Central Europe is a region with one of the most comprehensive networks for cloud and precipitation observations worldwide. To unify these observations, establish the infrastructure to store it and make it accessible to the research community is the goal of SAMD. SAMD is one result of the project "High Definition of Clouds and Precipitation in advancing Climate Prediction" (HD(CP)²).