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Found 38 result(s)
Earthdata powered by EOSDIS (Earth Observing System Data and Information System) is a key core capability in NASA’s Earth Science Data Systems Program. It provides end-to-end capabilities for managing NASA’s Earth science data from various sources – satellites, aircraft, field measurements, and various other programs. EOSDIS uses the metadata and service discovery tool Earthdata Search https://search.earthdata.nasa.gov/search. The capabilities of EOSDIS constituting the EOSDIS Science Operations are managed by NASA's Earth Science Data and Information System (ESDIS) Project. The capabilities include: generation of higher level (Level 1-4) science data products for several satellite missions; archiving and distribution of data products from Earth observation satellite missions, as well as aircraft and field measurement campaigns. The EOSDIS science operations are performed within a distributed system of many interconnected nodes - Science Investigator-led Processing Systems (SIPS), and distributed, discipline-specific, Earth science Distributed Active Archive Centers (DAACs) with specific responsibilities for production, archiving, and distribution of Earth science data products. The DAACs serve a large and diverse user community by providing capabilities to search and access science data products and specialized services.
The Centre for the Environment, Fisheries and Aquaculture Science (Cefas), as one of the world's longest-established marine research organisations, has provided advice on the sustainable exploitation of marine resources since 1902. Today Cefas works in support of a healthy environment and a growing blue economy providing innovative solutions for the aquatic environment, biodiversity and food security. The Cefas Data Hub provides access to over 2080 metadata records, with over 5500 data sets available to download and connect to in support of commitments to Open Science through the Data Portal. Datasets available are increasingly diverse and include many legacy datasets including those from fish, shellfish and plankton surveys from the 1980's to the present day. Other increasingly international datasets made available include species migration data from tagging activities and data on habitat and sediment, ecosystem change, human activities including marine litter, otolith sampling and fish stomach contents, oceanography, acoustics, health and water quality. Data is provided under Open Government License by default where feasible.
GRID-Geneva is a unique platform providing analyses and solutions for a wide range of environmental issues. GRID-Geneva serves primarily the needs of its three institutional partners - UNEP, the Swiss Federal Office for the Environment (FOEN) and the University of Geneva (UniGe) - which are linked by an ongoing, multi-year “Partnership Agreement”, along with other local-to-global stakeholders. GRID-Geneva is also a bilingual English and French centre and the key francophone link within the global GRID network of centres. GRID-Geneva is a key centre of geo-spatial know-how, with strengths in GIS, IP/remote sensing and statistical analyses, integrated through modern spatial data infrastructures and web applications. Working at the interface between scientific information and policy/decision-making, GRID-Geneva also helps to develop capacities in these fields of expertise among target audiences, countries and other groups.
Funded by the National Science Foundation (NSF) and proudly operated by Battelle, the National Ecological Observatory Network (NEON) program provides open, continental-scale data across the United States that characterize and quantify complex, rapidly changing ecological processes. The Observatory’s comprehensive design supports greater understanding of ecological change and enables forecasting of future ecological conditions. NEON collects and processes data from field sites located across the continental U.S., Puerto Rico, and Hawaii over a 30-year timeframe. NEON provides free and open data that characterize plants, animals, soil, nutrients, freshwater, and the atmosphere. These data may be combined with external datasets or data collected by individual researchers to support the study of continental-scale ecological change.
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The TERN Data Discovery Portal (TDDP) is a gateway to search and access all the datasets published by the Australian Terrestrial Ecosystem Research Network. In the TERN data discovery portal, users can conduct textual and graphical searches on the metadata catalogue using a web interface with temporal, spatial, and eco science related controlled vocabulary keywords. Requests to download data discovered through different data services associated with TERN. Downloading, using and sharing data will be subjected to the TERN data licensing framework (https://www.tern.org.au/datalicence/).
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The Institute of Ocean Sciences (IOS)/Ocean Sciences Division (OSD) data archive contains the holdings of oceanographic data generated by the IOS and other agencies and laboratories, including the Institute of Oceanography at the University of British Columbia and the Pacific Biological Station. The contents include data from B.C. coastal waters and inlets, B.C. continental shelf waters, open ocean North Pacific waters, Beaufort Sea and the Arctic Archipelago.
The Arctic Data Center is the primary data and software repository for the Arctic section of NSF Polar Programs. The Center helps the research community to reproducibly preserve and discover all products of NSF-funded research in the Arctic, including data, metadata, software, documents, and provenance that links these together. The repository is open to contributions from NSF Arctic investigators, and data are released under an open license (CC-BY, CC0, depending on the choice of the contributor). All science, engineering, and education research supported by the NSF Arctic research program are included, such as Natural Sciences (Geoscience, Earth Science, Oceanography, Ecology, Atmospheric Science, Biology, etc.) and Social Sciences (Archeology, Anthropology, Social Science, etc.). Key to the initiative is the partnership between NCEAS at UC Santa Barbara, DataONE, and NOAA’s NCEI, each of which bring critical capabilities to the Center. Infrastructure from the successful NSF-sponsored DataONE federation of data repositories enables data replication to NCEI, providing both offsite and institutional diversity that are critical to long term preservation.
SAHFOS is an internationally funded independent research non-profit organisation responsible for the operation of the Continuous Plankton Recorder (CPR) Survey. As a large-scale global survey, it provides the scientific and policy communities with a basin-wide and long-term measure of the ecological health of marine plankton. Established in 1931, the CPR Survey is the longest running, most geographically extensive marine ecological survey in the world. It has a considerable database of marine plankton and associated metadata that is used by researchers and policy makers to examine strategically important science pillars such as climate change, human health, fisheries, biodiversity, pathogens, invasive species, ocean acidification and natural capital. The Continuous Plankton Recorder (CPR) Survey has merged with the Marine Biological Association. Today the Survey is operated by the Marine Biological Association, based in Plymouth, UK.
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Ocean Tracking Network (OTN) deploys Canadian, state of the art acoustic receivers and oceanographic monitoring equipment in key ocean locations. These are being used to document the movements and survival of marine animals carrying acoustic tags and to document how both are influenced by oceanographic conditions.
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As the national oceanographic data centre for Canada, MEDS maintains centralized repositories of some oceanographic data types collected in Canada, and coordinates data exchanges between DFO and recognized intergovernmental organizations, as well as acts as a central point for oceanographic data requests. Real-time, near real-time (for operational oceanography) or historical data are made available as appropriate.
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.
WHOI is the world's leading non-profit oceanographic research organization. WHOI maintains unparalleled depth and breadth of expertise across a range of oceanographic research areas. Institution scientists and engineers work collaboratively within and across six research departments to advance knowledge of the global ocean and its fundamental importance to other planetary systems. At the same time, they also train future generations of ocean scientists and address problems that have a direct impact in efforts to understand and manage critical marine resources.
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The Ningaloo Atlas was created in response to the need for more comprehensive and accessible information on environmental and socio-economic data on the greater Ningaloo region. As such, the Ningaloo Atlas is a web portal to not only access and share information, but to celebrate and promote the biodiversity, heritage, value, and way of life of the greater Ningaloo region.
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>>>!!!<<< 2021-03-19: The repository is no longer available >>>!!!<<< The National Contaminants Information System was begun as part of the Department's Green Plan. The NCIS is a computerized warehouse of information on toxic chemicals in fish, other aquatic life and their habitats. It was built to help manage the growing base of data and information.
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Hakai Data stores and shares research information associated with Hakai Institute. The Hakai Institute is a scientific research institution that advances long-term research at remote locations on the coastal margin of British Columbia, Canada. Hakai Data Systems: Data Catalogue, Sensor Network, Geospatial Data, Weather Stations and Webcams, ERDDAP Data Server
Cary Institute data repository allows researchers to store, share and publish their research data, supplementary information and associated metadata. Each published item is assigned a Digital Object identifier (DOI), which allows the data to be citable and sustainable. This repository is a member node of DataOne.
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Edmond is the institutional repository of the Max Planck Society for public research data. It enables Max Planck scientists to create citable scientific assets by describing, enriching, sharing, exposing, linking, publishing and archiving research data of all kinds. Further on, all objects within Edmond have a unique identifier and therefore can be clearly referenced in publications or reused in other contexts.
Alaska Ocean Observing System (AOOS) provides ocean and coastal observations data. The AOOS is governed by the Integrated Ocean Observing System (IOOS) which is a partnership among federal, regional, academic and private sector groups. The Ocean Data Explorer contains scientific and management information including real-time sensor feeds, operational oceanographic and atmospheric models, satellite observations and GIS data sets that describe the biological, chemical and physical characteristics of Alaska and its surrounding waters. This map offers many new updated features that build upon the existing data system.
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.
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Ocean Networks Canada maintains several observatories installed in three different regions in the world's oceans. All three observatories are cabled systems that can provide power and high bandwidth communiction paths to sensors in the ocean. The infrastructure supports near real-time observations from multiple instruments and locations distributed across the Arctic, NEPTUNE and VENUS observatory networks. These observatories collect data on physical, chemical, biological, and geological aspects of the ocean over long time periods, supporting research on complex Earth processes in ways not previously possible.
The Genomic Observatories Meta-Database (GEOME) is a web-based database that captures the who, what, where, and when of biological samples and associated genetic sequences. GEOME helps users with the following goals: ensure the metadata from your biological samples is findable, accessible, interoperable, and reusable; improve the quality of your data and comply with global data standards; and integrate with R, ease publication to NCBI's sequence read archive, and work with an associated LIMS. The initial use case for GEOME came from the Diversity of the Indo-Pacific Network (DIPnet) resource.