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Found 130 result(s)
The Solar Dynamics Observatory (SDO) studies the solar atmosphere on small scales of space and time, in multiple wavelengths. This is a searchable database of all SDO data, including citizen scientist images, space weather and near real time data, and helioseismology data.
The Registry of Open Data on AWS provides a centralized repository of public data sets that can be seamlessly integrated into AWS cloud-based applications. AWS is hosting the public data sets at no charge to their users. Anyone can access these data sets from their Amazon Elastic Compute Cloud (Amazon EC2) instances and start computing on the data within minutes. Users can also leverage the entire AWS ecosystem and easily collaborate with other AWS users.
The Open Science Framework (OSF) is part network of research materials, part version control system, and part collaboration software. The purpose of the software is to support the scientist's workflow and help increase the alignment between scientific values and scientific practices. Document and archive studies. Move the organization and management of study materials from the desktop into the cloud. Labs can organize, share, and archive study materials among team members. Web-based project management reduces the likelihood of losing study materials due to computer malfunction, changing personnel, or just forgetting where you put the damn thing. Share and find materials. With a click, make study materials public so that other researchers can find, use and cite them. Find materials by other researchers to avoid reinventing something that already exists. Detail individual contribution. Assign citable, contributor credit to any research material - tools, analysis scripts, methods, measures, data. Increase transparency. Make as much of the scientific workflow public as desired - as it is developed or after publication of reports. Find public projects here. Registration. Registering materials can certify what was done in advance of data analysis, or confirm the exact state of the project at important points of the lifecycle such as manuscript submission or at the onset of data collection. Discover public registrations here. Manage scientific workflow. A structured, flexible system can provide efficiency gain to workflow and clarity to project objectives, as pictured.
>>>!!!<<< caArray Retirement Announcement >>>!!!<<< The National Cancer Institute (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) instance of the caArray database was retired on March 31st, 2015. All publicly-accessible caArray data and annotations will be archived and will remain available via FTP download https://wiki.nci.nih.gov/x/UYHeDQ and is also available at GEO http://www.ncbi.nlm.nih.gov/geo/ . >>>!!!<<< While NCI will not be able to provide technical support for the caArray software after the retirement, the source code is available on GitHub https://github.com/NCIP/caarray , and we encourage continued community development. Molecular Analysis of Brain Neoplasia (Rembrandt fine-00037) gene expression data has been loaded into ArrayExpress: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-3073 >>>!!!<<< caArray is an open-source, web and programmatically accessible microarray data management system that supports the annotation of microarray data using MAGE-TAB and web-based forms. Data and annotations may be kept private to the owner, shared with user-defined collaboration groups, or made public. The NCI instance of caArray hosts many cancer-related public datasets available for download.
Weed Images is a project of the University of Georgia’s Center for Invasive Species and Ecosystem Health and one of the four major parts of BugwoodImages. The Focus is on damages of weed. It provides an easily accessible archive of high quality images for use in educational applications. In most cases, the images found in this system were taken by and loaned to us by photographers other than ourselves. Most are in the realm of public sector images. The photographs are in this system to be used.
The Astronomy data repository at Harvard is currently open to all scientific data from astronomical institutions worldwide. Incorporating Astroinformatics of galaxies and quasars Dataverse. The Astronomy Dataverse is connected to the indexing services provided by the SAO/NASA Astrophysical Data Service (ADS).
The Deep Carbon Observatory (DCO) is a global community of multi-disciplinary scientists unlocking the inner secrets of Earth through investigations into life, energy, and the fundamentally unique chemistry of carbon. Deep Carbon Observatory Digital Object Registry (“DCO-VIVO”) is a centrally-managed digital object identification, object registration and metadata management service for the DCO. Digital object registration includes DCO-ID generation based on the global Handle System infrastructure and metadata collection using VIVO. Users will be able to deposit their data into the DCO Data Repository and have that data discoverable and accessible by others.
Constellation is a digital object identifier (DOI) based science network for supercomputing data. Constellation makes it possible for OLCF researchers to obtain DOIs for large data collections by tying them together with the associated resources and processes that went into the production of the data (e.g., jobs, collaborators, projects), using a scalable database. It also allows the annotation of the scientific conduct with rich metadata, and enables the cataloging and publishing of the artifacts for open access, aiding in scalable data discovery. OLCF users can use the DOI service to publish datasets even before the publication of the paper, and retain key data even after project expiration. From a center standpoint, DOIs enable the stewardship of data, and better management of the scratch and archival storage.
Ag Data Commons provides access to a wide variety of open data relevant to agricultural research. We are a centralized repository for data already on the web, as well as for new data being published for the first time. While compliance with the U.S. Federal public access and open data directives is important, we aim to surpass them. Our goal is to foster innovative data re-use, integration, and visualization to support bigger, better science and policy.
Remote Sensing Systems is a world leader in processing and analyzing microwave data from satellite microwave sensors. We specialize in algorithm development, instrument calibration, ocean product development, and product validation. We have worked with more than 30 satellite microwave radiometer, sounder, and scatterometer instruments over the past 40 years. Currently, we operationally produce satellite retrievals for SSMIS, AMSR2, WindSat, and ASCAT. The geophysical retrievals obtained from these sensors are made available in near-real-time (NRT) to the global scientific community and general public via FTP and this web site.
The CAS Data Catalog contains a variety of atmospheric and oceanic energy budget calculations derived from satellites and Reanalysis products. The CAS Data Catalog has been archived in favor of the Climate Data Guide https://www.re3data.org/repository/r3d100012500. Please visit that website for your climate data needs and to view datasets from the CAS Data Catalog refer to the Climate Analysis Section (CAS) Data Catalog tag (https://climatedataguide.ucar.edu/collections/climate-analysis-section-cas-data-catalog) on the Climate Data Guide website.
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. With the collaborative features of GitHub.com, our desktop and mobile apps, and GitHub Enterprise, it has never been easier for individuals and teams to write better code, faster. Originally founded by Tom Preston-Werner, Chris Wanstrath, and PJ Hyett to simplify sharing code, GitHub has grown into the largest code host in the world.
<<<!!!<<< The demand for high-value environmental data and information has dramatically increased in recent years. To improve our ability to meet that demand, NOAA’s former three data centers—the National Climatic Data Center, the National Geophysical Data Center, and the National Oceanographic Data Center, which includes the National Coastal Data Development Center—have merged into the National Centers for Environmental Information (NCEI). >>>!!!>>> NCEI is responsible for hosting and providing access to one of the most significant archives on Earth, with comprehensive oceanic, atmospheric, and geophysical data. From the depths of the ocean to the surface of the sun and from million-year-old sediment records to near real-time satellite images, NCEI is the Nation's leading authority for environmental information. The National Centers for Environmental Information (NCEI), which hosts the World Data Service for Oceanography is a national environmental data center operated by the National Oceanic and Atmospheric Administration (NOAA) of the U.S. Department of Commerce. NCEI are responsible for hosting and providing access to one of the most significant archives on earth, with comprehensive oceanic, atmospheric, and geophysical data. The primary mission of the World Data Service for Oceanography is to ensure that global oceanographic datasets collected at great cost are maintained in a permanent archive that is easily and openly accessible to the world science community and to other users.
<<<!!!<<< The demand for high-value environmental data and information has dramatically increased in recent years. To improve our ability to meet that demand, NOAA’s former three data centers—the National Climatic Data Center, the National Geophysical Data Center, and the National Oceanographic Data Center, which includes the National Coastal Data Development Center—have merged into the National Centers for Environmental Information (NCEI). >>>!!!>>> The National Oceanographic Data Center includes the National Coastal Data Development Center (NCDDC) and the NOAA Central Library, which are integrated to provide access to the world's most comprehensive sources of marine environmental data and information. NODC maintains and updates a national ocean archive with environmental data acquired from domestic and foreign activities and produces products and research from these data which help monitor global environmental changes. These data include physical, biological and chemical measurements derived from in situ oceanographic observations, satellite remote sensing of the oceans, and ocean model simulations.
The NASA Exoplanet Archive collects and serves public data to support the search for and characterization of extra-solar planets (exoplanets) and their host stars. The data include published light curves, images, spectra and parameters, and time-series data from surveys that aim to discover transiting exoplanets. Tools are provided to work with the data, particularly the display and analysis of transit data sets from Kepler and CoRoT. All data are validated by the Exoplanet Archive science staff and traced to their sources. The Exoplanet Archive is the U.S. data portal for the CoRoT mission.
The Stanford Digital Repository (SDR) is Stanford Libraries' digital preservation system. The core repository provides “back-office” preservation services – data replication, auditing, media migration, and retrieval -- in a secure, sustainable, scalable stewardship environment. Scholars and researchers across disciplines at Stanford use SDR repository services to provide ongoing, persistent, reliable access to their research outputs.
Here you will find authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world.
The United States Census Bureau (officially the Bureau of the Census, as defined in Title 13 U.S.C. § 11) is the government agency that is responsible for the United States Census. It also gathers other national demographic and economic data. As a part of the United States Department of Commerce, the Census Bureau serves as a leading source of data about America's people and economy. The most visible role of the Census Bureau is to perform the official decennial (every 10 years) count of people living in the U.S. The most important result is the reallocation of the number of seats each state is allowed in the House of Representatives, but the results also affect a range of government programs received by each state. The agency director is a political appointee selected by the President of the United States.
Data.gov increases the ability of the public to easily find, download, and use datasets that are generated and held by the Federal Government. Data.gov provides descriptions of the Federal datasets (metadata), information about how to access the datasets, and tools that leverage government datasets
The Marine Geoscience Data System (MGDS) is a trusted data repository that provides free public access to a curated collection of marine geophysical data products and complementary data related to understanding the formation and evolution of the seafloor and sub-seafloor. Developed and operated by domain scientists and technical specialists with deep knowledge about the creation, analysis and scientific interpretation of marine geoscience data, the system makes available a digital library of data files described by a rich curated metadata catalog. MGDS provides tools and services for the discovery and download of data collected throughout the global oceans. Primary data types are geophysical field data including active source seismic data, potential field, bathymetry, sidescan sonar, near-bottom imagery, other seafloor senor data as well as a diverse array of processed data and interpreted data products (e.g. seismic interpretations, microseismicity catalogs, geologic maps and interpretations, photomosaics and visualizations). Our data resources support scientists working broadly on solid earth science problems ranging from mid-ocean ridge, subduction zone and hotspot processes, to geohazards, continental margin evolution, sediment transport at glaciated and unglaciated margins.