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Found 96 result(s)
EarthScope was a program of the National Science Foundation (NSF) that has deployed thousands of seismic, GPS, and other geophysical instruments to study the structure and evolution of the North American continent and the processes that cause earthquakes and volcanic eruptions. EarthScope was an Earth science program to explore the 4-dimensional structure of the North American continent. The EarthScope Program provides a framework for broad, integrated studies across the Earth sciences, including research on fault properties and the earthquake process, strain transfer, magmatic and hydrous fluids in the crust and mantle, plate boundary processes, large-scale continental deformation, continental structure and evolution, and composition and structure of the deep Earth. In addition, EarthScope offers a centralized forum for Earth science education at all levels and an excellent opportunity to develop cyberinfrastructure to integrate, distribute, and analyze diverse data set.
Satellite-tracked drifting buoys ("drifters") collect measurements of upper ocean currents and sea surface temperatures (SST) around the world as part of the Global Drifter Program. Drifter locations are estimated from 16-20 satellite fixes per day, per drifter. The Drifter Data Assembly Center (DAC) at NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML) assembles these raw data, applies quality control procedures, and interpolates them via kriging to regular six-hour intervals. The raw observations and processed data are archived at AOML and at the Marine Environmental Data Services (MEDS) in Canada. Two types of data are available: "metadata" contains deployment location and time, time of drogue (sea anchor) loss, date of final transmission, etc. for each drifter. "Interpolated data" contains the quality-controlled, interpolated drifter observations.
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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.
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<<<!!!<<< The digital archive of the Historical Data Center Saxony-Anhalt was transferred to the share-it repositor https://www.re3data.org/repository/r3d100013014 >>>!!!>>> The Historical Data Centre Saxony-Anhalt was founded in 2008. Its main tasks are the computer-aided provision, processing and evaluation of historical research data, the development of theoretically consolidated normative data and vocabularies as well as the further development of methods in the context of digital humanities, research data management and quality assurance. The "Historical Data Centre Saxony-Anhalt" sees itself as a central institution for the data service of historical data in the federal state of Saxony-Anhalt and is thus part of a nationally and internationally linked infrastructure for long-term data storage and use. The Centre primarily acquires individual-specific microdata for the analysis of life courses, employment biographies and biographies (primarily quantitative, but also qualitative data), which offer a broad interdisciplinary and international analytical framework and meet clearly defined methodological and technical requirements. The studies are processed, archived and - in compliance with data protection and copyright conditions - made available to the scientifically interested public in accordance with internationally recognized standards. The degree of preparation depends on the type and quality of the study and on demand. Reference studies and studies in high demand are comprehensively documented - often in cooperation with primary researchers or experts - and summarized in data collections. The Historical Data Centre supports researchers in meeting the high demands of research data management. This includes the advisory support of the entire life cycle of data, starting with data production, documentation, analysis, evaluation, publication, long-term archiving and finally the subsequent use of data. In cooperation with other infrastructure facilities of the state of Saxony-Anhalt as well as national and international, interdisciplinary data repositories, the Data Centre provides tools and infrastructures for the publication and long-term archiving of research data. Together with the University and State Library of Saxony-Anhalt, the Data Centre operates its own data repository as well as special workstations for the digitisation and analysis of data. The Historical Data Centre aims to be a contact point for very different users of historical sources. We collect data relating to historical persons, events and historical territorial units.
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In the framework of the Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation’ (CRC/TR32, www.tr32.de), funded by the German Research Foundation from 2007 to 2018, a RDM system was self-designed and implemented. The so-called CRC/TR32 project database (TR32DB, www.tr32db.de) is operating online since early 2008. The TR32DB handles all data including metadata, which are created by the involved project participants from several institutions (e.g. Universities of Cologne, Bonn, Aachen, and the Research Centre Jülich) and research fields (e.g. soil and plant sciences, hydrology, geography, geophysics, meteorology, remote sensing). The data is resulting from several field measurement campaigns, meteorological monitoring, remote sensing, laboratory studies and modelling approaches. Furthermore, outcomes of the scientists such as publications, conference contributions, PhD reports and corresponding images are collected in the TR32DB.
The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves and beaches along the coastlines of the United States. Since its inception in 1975, the program has produced a vast database of publicly-accessible environmental data for use by coastal engineers and planners, scientists, mariners, and marine enthusiasts. The program has also remained at the forefront of coastal monitoring, developing numerous innovations in instrumentation, system control and management, computer hardware and software, field equipment, and installation techniques.
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The National Air Pollution Surveillance (NAPS) Program provides accurate and long-term air quality data of a uniform standard across Canada. The NAPS Network has a Canada-Wide database of criteria air contaminants from the early 1970s to the present for designated NAPS sites, as well as provincial, territorial and other sites. Trace contaminants are also monitored at several stations in the network and analyzed by the laboratory at River Road.
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>>>>!!!<<< NEPTUNE Canada is now part of Ocean Networks Canada and this website is being phased out. Please visit us on our new website at oceannetworks.ca >>>!!!<<< NEPTUNE Canada, the North-East Pacific Time-series Undersea Networked Experiments, is the world's first regional scale cabled deep ocean observing network. It consists of an 800km network of electro‐optic cable laid on the seabed over the northern Juan de Fuca tectonic plate, off the coast of British Columbia. This tectonic plate serves as an exceptional natural laboratory for ocean observation and experiments. NEPTUNE Canada instruments yield continuous real‐time data and imagery from the ocean surface to beneath the seafloor, and from the coast to the deep sea. They respond to events such as earthquakes, tsunamis, fish migrations, plankton blooms, storms and volcanic eruptions. NEPTUNE Canada offers a unique and exciting approach to ocean science.
diversitydata.org is an online tool for exploring quality of life data across metropolitan areas for people of different racial/ethnic groups in the United States. It provides values and rankings for the largest U.S. metropolitan areas on different indicators in 8 areas of life (domains), including demographics, education, economic opportunity, housing, neighborhoods, and health. It also provides a simple mapping utility, showing the range of indicator values for metros across the U.S. Data from 1999 indicators is archives in the companion Diversity Data Archive (https://diversitydata-archive.org/). For a wider selection of data on child wellbeing, visit our partner site, diversitydatakids.org (https://www.diversitydatakids.org/). diversitydata.org has been named a Health Data All Star by the Health Data Consortium. The list was compiled in consultation with leading health researchers, government officials, entrepreneurs, advocates and others to identify the health data resources that matter most.
OpenStreetMap (https://www.openstreetmap.org/export#map=6/51.324/10.426) is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world. Planet.osm is the OpenStreetMap data in one file.
The EarthEnv project is a collaborative project of biodiversity scientists and remote sensing experts to develop near-global standardized, 1km resolution layers for monitoring and modeling biodiversity, ecosystems, and climate. The work is supported by NCEAS, NASA, NSF, and Yale University.
Discovery is the digital repository of research, and related activities, undertaken at the University of Dundee. The content held in Discovery is varied and ranges from traditional research outputs such as peer-reviewed articles and conference papers, books, chapters and post-graduate research theses and data to records for artefacts, exhibitions, multimedia and software. Where possible Discovery provides full-text access to a version of the research. Discovery is the data catalogue for datasets resulting from research undertaken at the University of Dundee and in some instances the publisher of research data.
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The Research Data Repository of FID move is a digital long-term repository for open data from the field of transport and mobility research. All datasets are provided with an open licence and are assigned a persistent DataCite DOI (Digital Object Identifier). Both data search and archiving are free. The Specialised Information Service for Mobility and Transport Research (FID move) has been set up by the Saxon State and University Library Dresden (SLUB) and the German TIB – Leibniz Information Centre for Science and Technology as part of the DFG funding programme "Specialised Information Services".
<<<!!!<<< 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 Coastal Data Development Center, a division of the National Oceanographic Data Center, is dedicated to building the long-term coastal data record to support environmental prediction, scientific analysis, and formulation of public policy.
PISCO researchers collect biological, chemical, and physical data about ocean ecosystems in the nearshore portions of the California Current Large Marine Ecosystem. Data are archived and used to create summaries and graphics, in order to ensure that the data can be used and understood by a diverse audience of managers, policy makers, scientists and the general public.
Under the World Climate Research Programme (WCRP) the Working Group on Coupled Modelling (WGCM) established the Coupled Model Intercomparison Project (CMIP) as a standard experimental protocol for studying the output of coupled atmosphere-ocean general circulation models (AOGCMs). CMIP provides a community-based infrastructure in support of climate model diagnosis, validation, intercomparison, documentation and data access. This framework enables a diverse community of scientists to analyze GCMs in a systematic fashion, a process which serves to facilitate model improvement. Virtually the entire international climate modeling community has participated in this project since its inception in 1995. The Program for Climate Model Diagnosis and Intercomparison (PCMDI) archives much of the CMIP data and provides other support for CMIP. We are now beginning the process towards the IPCC Fifth Assessment Report and with it the CMIP5 intercomparison activity. The CMIP5 (CMIP Phase 5) experiment design has been finalized with the following suites of experiments: I Decadal Hindcasts and Predictions simulations, II "long-term" simulations, III "atmosphere-only" (prescribed SST) simulations for especially computationally-demanding models. The new ESGF peer-to-peer (P2P) enterprise system (http://pcmdi9.llnl.gov) is now the official site for CMIP5 model output. The old gateway (http://pcmdi3.llnl.gov) is deprecated and now shut down permanently.
The DCS allows you to search a catalogue of metadata (information describing data) to discover and gain access to NERC's data holdings and information products. The metadata are prepared to a common NERC Metadata Standard and are provided to the catalogue by the NERC Data Centres.
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RESPECT aims to unveil for the mountain rain forest in South Ecuador how major ecosystem functions, (i) ecosystem biomass production, and (ii) water fluxes, are affected by ongoing and future environmental changes through alterations in response and effect traits of relevant biota. The research question is addressed with two approaches: (i) A newest generation Land Surface Model (LSM) and (ii) a statistical response–effect framework (REF). By including (i) specific Plant Functional Types (PFTs) for the megadiverse biodiversity hotspot, (ii) introducing trait diversity, (iii) new modules for tree hydraulics and (iv) new modules of focal biological processes (seed dispersal and PFT establishment, herbivory) we will conduct a biodiversification of LSMs.
DARECLIMED data repository consists of three kind of data: (a) climate, (b) water resources, and (c) energy related data. The first part, climate datasets, will include atmospheric and indirect atmospheric data, proxies and reconstructions, terrestrial and oceanic data. Land use, population, economy and development data will be added as well. Datasets can be handled and analyzed by connecting to the Live Access Server (LAS), which enables to visualize data with on-the-fly graphics, request custom subsets of variables in a choice of file formats, access background reference material about the data (metadata), and compare (difference) variables from distributed locations. Access to server is granted upon request by emailing the data repository manager.
The Web-enabled Landsat data (WELD) project combines geophysical and biophysical Landstat data for the purposes of long-term preservation and monitoring of national, regional, and local data. WELD products are already "terrain-corrected and radiometrically calibrated" so as to be more easily accessible to researchers.
The Polar Rock Repository (PRR) at the Byrd Polar and Climate Research Center (BPCRC) at Ohio State University is an NSF-OPP funded facility that provides access to rock, terrestrial drill core, glacial deposits and marine dredge samples from Antarctica and the Southern Ocean. The polar rock collection and database includes field notes, photos, maps, cores, powder and mineral residues, thin sections, and residues. Rock samples may be borrowed for research by university scientists. Samples may also be borrowed for educational or museum use in the United States.
The changing demographic composition has expanded the scope of the U.S. racial and ethnic mosaic. As a result, interest and research on race and ethnicity has become more complex and expansive. RCMD seeks to assist in the public dissemination and preservation of quality data to generate more "good science" for years to come. Finally, RCMD wants to be part of an interactive community of persons interested and be involved in minority related issues/investigations in order to make possible the broadest scope of research endeavors and examinations.