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Found 177 result(s)
OLOS is a Swiss-based data management portal tailored for researchers and institutions. Powerful yet easy to use, OLOS works with most tools and formats across all scientific disciplines to help researchers safely manage, publish and preserve their data. The solution was developed as part of a larger project focusing on Data Life Cycle Management (dlcm.ch) that aims to develop various services for research data management. Thanks to its highly modular architecture, OLOS can be adapted both to small institutions that need a "turnkey" solution and to larger ones that can rely on OLOS to complement what they have already implemented. OLOS is compatible with all formats in use in the different scientific disciplines and is based on modern technology that interconnects with researchers' environments (such as Electronic Laboratory Notebooks or Laboratory Information Management Systems).
The Argo observational network consists of a fleet of 3000+ profiling autonomous floats deployed by about a dozen teams worldwide. WHOI has built about 10% of the global fleet. The mission lifetime of each float is about 4 years. During a typical mission, each float reports a profile of the upper ocean every 10 days. The sensors onboard record fundamental physical properties of the ocean: temperature and conductivity (a measure of salinity) as a function of pressure. The depth range of the observed profile depends on the local stratification and the float's mechanical ability to adjust it's buoyancy. The majority of Argo floats report profiles between 1-2 km depth. At each surfacing, measurements of temperature and salinity are relayed back to shore via satellite. Telemetry is usually received every 10 days, but floats at high-latitudes which are iced-over accumulate their data and transmit the entire record the next time satellite contact is established. With current battery technology, the best performing floats last 6+ years and record over 200 profiles.
UltraViolet is part of a suite of repositories at New York University that provide a home for research materials, operated as a partnership of the Division of Libraries and NYU IT's Research and Instruction Technology. UltraViolet provides faculty, students, and researchers within our university community with a place to deposit scholarly materials for open access and long-term preservation. UltraViolet also houses some NYU Libraries collections, including proprietary data collections.
The MPC is responsible for the designation of minor bodies in the solar system: minor planets; comets, in conjunction with the Central Bureau for Astronomical Telegrams (CBAT); and natural satellites (also in conjunction with CBAT). The MPC is also responsible for the efficient collection, computation, checking and dissemination of astrometric observations and orbits for minor planets and comets
The SAR Data Center has a large data archive of Synthetic Aperture Radar (SAR) from a variety of sensors available at no cost. Much of the SAR data in the ASF SDC archive is limited in distribution to the scientific research community and U.S. Government Agencies. In accordance with the Memoranda of Understanding (MOU) between the relevant flight agencies (CSA, ESA, JAXA) and the U.S. State Department, the ASF SDC does not distribute SAR data for commercial use. The research community can access the data (ERS-1, ERS-2, JERS-1, RADARSAT-1, and ALOS PALSAR) via a brief proposal process.
The Ocean Biology Processing Group (OBPG) serves as the Distributed Active Archive Center (DAAC) for all Ocean Biology (OB) data produced or collected under NASA’s Earth Observing System Data and Information System (EOSDIS). This website thus serves as the primary data access portal to the NASA OB.DAAC. The links below provide a variety of methods to access the holdings of the OB.DAAC, including visual browsers that enable point-and-click access by data levels and direct access for bulk download. In agreement with partner organizations, some data access requires user registration to enable better tracking of usage metrics.
The GeoPRISMS Data Portal was established in early 2011 to serve the NSF-funded GeoPRISMS program as a dedicated data system to facilitate open and timely exchange of data in support of the interdisciplinary science goals of the program. GeoPrisms Data Portal focuses upon the coordinated, interdisciplinary investigation of the continental margins through two initiatives: the Subduction Cycles and Deformation (SCD) and Rift Initiation and Evolution (RIE). In order to address the fundamental scientific questions, each initiative is associated with Primary Sites to address a wide range of field, experimental and theoretical studies spanning broad spatial and temporal scales.
EartH2Observe brings together the findings from European FP projects DEWFORA, GLOWASIS, WATCH, GEOWOW and others. It will integrate available global earth observations (EO), in-situ datasets and models and will construct a global water resources re-analysis dataset of significant length (several decades). The resulting data will allow for improved insights on the full extent of available water and existing pressures on global water resources in all parts of the water cycle. The project will support efficient and globally consistent water management and decision making by providing comprehensive multi-scale (regional, continental and global) water resources observations. It will test new EO data sources, extend existing processing algorithms and combine data from multiple satellite missions in order to improve the overall resolution and reliability of EO data included in the re-analysis dataset. The resulting datasets will be made available through an open Water Cycle Integrator data portal https://wci.earth2observe.eu/ : the European contribution to the GEOSS/WCI approach. The datasets will be downscaled for application in case-studies at regional and local levels, and optimized based on identified European and local needs supporting water management and decision making . Actual data access: https://wci.earth2observe.eu/data/group/earth2observe
The long-term goal of this project is to implement a new strategy for preserving and providing access to the Astrophysical data heritage. IA2 is an ambitious Italian Astrophysical research infrastructure project that aims at co-ordinating different national initiatives to improve the quality of astrophysical data services. It aims at co-ordinating these developments and facilitating access to this data for research purposes. The first working target, is the implementation of the TNG Long-Term Archive (LTA). Its feasibility was demonstrated by the LTA pilot project prototype, funded by CNAA in 2001 and completed successfully in July 2002. The implementation of the TNG archive implies: − interfacing with the Centro "Galileo Galilei" (CGG) for the acquisition of TNG data; − long-term storage of scientific, technical and auxiliary data from the TNG; − providing accessibility by the CGG staff and by the scientific community to original and derived data; − providing tools to support the life cycle of observing proposals. The second target of the proposal aims at ensuring harmonization with other projects related to archiving of data of astrophysical interest, with particular reference to projects involving the Italian astronomical community (LBT, VST, GSC-II, DPOSS, …), to the Italian Solar and Solar System Physics community (SOLAR, SOLRA, ARTHEMIS which form SOLARNET – a future node of EGSO) and to the national and international coordination efforts fostering the idea of a multiwavelength Virtual Astronomical Observatory, and the use of the archived data through the Italian Astronomical Grid.
The National River Flow Archive is the primary archive of daily and peak river flows for the United Kingdom. The archive incorporates daily, monthly and flood peak data from over 1500 gauging stations. The NRFA holds a wide range of hydrological information to assist in the understanding and interpretation of measured river flows. In addition to time series of gauged river flow, the data centre maintains hydrometric information relating to the gauging stations and the catchments they command and data quantifying other parts of the hydrological cycle.
EMSC collects real time parametric data (source parmaters and phase pickings) provided by 65 seismological networks of the Euro-Med region. These data are provided to the EMSC either by email or via QWIDS (Quake Watch Information Distribution System, developped by ISTI). The collected data are automatically archived in a database, made available via an autoDRM, and displayed on the web site. The collected data are automatically merged to produce automatic locations which are sent to several seismological institutes in order to perform quick moment tensors determination.
The ProteomeXchange consortium has been set up to provide a single point of submission of MS proteomics data to the main existing proteomics repositories, and to encourage the data exchange between them for optimal data dissemination. Current members accepting submissions are: The PRIDE PRoteomics IDEntifications database at the European Bioinformatics Institute focusing mainly on shotgun mass spectrometry proteomics data PeptideAtlas/PASSEL focusing on SRM/MRM datasets.
The NCEAS Data Repository contains information about the research data sets collected and collated as part of NCEAS' funded activities. Information in the NCEAS Data Repository is concurrently available through the Knowledge Network for Biocomplexity (KNB), an international data repository. A number of the data sets were synthesized from multiple data sources that originated from the efforts of many contributors, while others originated from a single. Datasets can be found at KNB repository https://knb.ecoinformatics.org/data , creator=NCEAS
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 International Ocean Discovery Program (IODP) is an international marine research collaboration that explores Earth's history and dynamics using ocean-going research platforms to recover data recorded in seafloor sediments and rocks and to monitor subseafloor environments. IODP depends on facilities funded by three platform providers with financial contributions from five additional partner agencies. Together, these entities represent 26 nations whose scientists are selected to staff IODP research expeditions conducted throughout the world's oceans. IODP expeditions are developed from hypothesis-driven science proposals aligned with the program's science plan Illuminating Earth's Past, Present, and Future. The science plan identifies 14 challenge questions in the four areas of climate change, deep life, planetary dynamics, and geohazards. Until 2013 under the name: International Ocean Drilling Program.
The data publishing portal of Marine Scotland, the directorate of the Scottish Government responsible for the management of Scotland's seas.
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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.
Yareta is a repository service built on digital solutions for archiving, preserving and sharing research data that enable researchers and institutions of any disciplines to share and showcase their research results. The solution was developed as part of a larger project focusing on Data Life Cycle Management (dlcm.ch) that aims to develop various services for research data management. Thanks to its highly modular architecture, Yareta can be adapted both to small institutions that need a "turnkey" solution and to larger ones that can rely on Yareta to complement what they have already implemented. Yareta is compatible with all formats in use in the different scientific disciplines and is based on modern technology that interconnects with researchers' environments (such as Electronic Laboratory Notebooks or Laboratory Information Management Systems).
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sciencedata.dk is a research data store provided by DTU, the Danish Technical University, specifically aimed at researchers and scientists at Danish academic institutions. The service is intended for working with and sharing active research data as well as for safekeeping of large datasets. The data can be accessed and manipulated via a web interface, synchronization clients, file transfer clients or the command line. The service is built on and with open-source software from the ground up: FreeBSD, ZFS, Apache, PHP, ownCloud/Nextcloud. DTU is actively engaged in community efforts on developing research-specific functionality for data stores. Our servers are attached directly to the 10-Gigabit backbone of "Forskningsnettet" (the National Research and Education Network of Denmark) - implying that up and download speed from Danish academic institutions is in principle comparable to those of an external USB hard drive. Data store for research data allowing private sharing and sharing via links / persistent URLs.
The Texas Data Repository is a platform for publishing and archiving datasets (and other data products) created by faculty, staff, and students at Texas higher education institutions. The repository is built in an open-source application called Dataverse, developed and used by Harvard University. The repository is hosted by the Texas Digital Library, a consortium of academic libraries in Texas with a proven history of providing shared technology services that support secure, reliable access to digital collections of research and scholarship. For a list of TDL participating institutions, please visit: https://www.tdl.org/members/.
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.
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Dataverse UNIMI is the institutional data repository of the University of Milan. The service aims at facilitating data discovery, data sharing, and reuse, as required by funding institutions (eg. European Commission). Datasets published in the archive have a set of metadata that ensure proper description and discoverability.