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Found 30 result(s)
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The TRR228DB is the project-database of the Collaborative Research Centre 228 "Future Rural Africa: Future-making and social-ecological transformation" (CRC/Transregio 228, https://www.crc228.de) funded by the German Research Foundation (DFG, German Research Foundation – Project number 328966760). The project-database is a new implementation of the TR32DB and online since 2018. It handles all data including metadata, which are created by the involved project participants from several institutions (e.g. Universities of Cologne and Bonn) and research fields (e.g. anthropology, agroeconomics, ecology, ethnology, geography, politics and soil sciences). The data is resulting from several field campaigns, interviews, surveys, remote sensing, laboratory studies and modelling approaches. Furthermore, outcomes of the scientists such as publications, conference contributions, PhD reports and corresponding images are collected.
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The Community Data Program (CDP) is a membership-based community development initiative open to any Canadian public, non-profit or community sector organization with a local service delivery or public policy mandate. The program facilitates access to the evidence needed to tell our stories and inform effective and responsive policy and program design and implementation. The CDP makes data accessible and useful for all members with training and capacity building resources. Through its vibrant network, the CDP facilitates and supports dialogue and the sharing of best practices in the use of community data. The CDP has emerged as a unique Canada-wide platform for generating information, convening and collaborating.
The Research Collection is ETH Zurich's publication platform. It unites the functions of a university bibliography, an open access repository and a research data repository within one platform. Researchers who are affiliated with ETH Zurich, the Swiss Federal Institute of Technology, may deposit research data from all domains. They can publish data as a standalone publication, publish it as supplementary material for an article, dissertation or another text, share it with colleagues or a research group, or deposit it for archiving purposes. Research-data-specific features include flexible access rights settings, DOI registration and a DOI preview workflow, content previews for zip- and tar-containers, as well as download statistics and altmetrics for published data. All data uploaded to the Research Collection are also transferred to the ETH Data Archive, ETH Zurich’s long-term archive.
The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) onboard the ENVISAT satellite provided atmospheric infrared limb emission spectra. From these, profiles of temperature and atmospheric trace gases were retrieved using the research data processor developed at the Institut für Meteorologie und Klimaforschung (IMK), which is complemented by the component of non-local thermodynamic equilibrium (non-LTE) treatment from the Instituto de Astrofísica de Andalucía (IAA). The MIPAS data products on this server are commonly known as IMK/IAA MIPAS Level2 data products. The MIPAS instrument measured during two time frames: from 2002 to 2004 in full spectral resolution (high resolution = HR aka full resolution = FR), and from 2005 to 2012 in reduced spectral, but improved spatial resolution (reduced resolution = RR aka optimized resolution = OR). For this reason, there are different version numbers covering the full MIPAS mission period: xx for the HR/FR period, and 2xx for the RR/OR period (example: 61 for HR/FR, 261 for RR/OR). Beyond this, measurements were conducted in different modes covering different altitude ranges during the RR period: Nominal (6 – 70 km), MA (18 – 102 km), NLC (39 – 102 km), UA (42 – 172 km), UTLS-1 (5.5 – 19 km), UTLS-2 (12 – 42 km), AE (7 – 38 km). The non-nominal modes are identified by the following version numbers: MA = 5xx, NLC = 7xx, UA = 6xx, UTLS-1/2 = 1xx (no retrievals for AE mode).
BSRN is a project of the Radiation Panel (now the Data and Assessment Panel) from the Global Energy and Water Cycle Experiment (GEWEX) under the umbrella of the World Climate Research Programme (WCRP). It is the global baseline network for surface radiation for the Global limate Observing System (GCOS), contributing to the Global Atmospheric Watch (GAW), and forming a ooperative network with the Network for the Detection of Atmospheric Composition Change NDACC).
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The Marine Data Portal is a product of the “Underway”- Data initiative of the German Marine Research Alliance (Deutsche Allianz Meeresforschung - DAM) and is supported by the marine science centers AWI, GEOMAR and Hereon of the Helmholtz Association. This initiative aims to improve and standardize the systematic data collection and data evaluation for expeditions with German research vessels and marine observation. It supports scientists in their data management duties and fosters (data) science through FAIR and open access to marine research data. AWI, GEOMAR and Hereon develop this marine data hub (Marehub) to build a decentralized data infrastructure for processing, long-term archiving and dissemination of marine observation and model data and data products. The Marine Data Portal provides user-friendly, centralized access to marine research data, reports and publications from a wide range of data repositories and libraries in the context of German marine research and its international collaboration. The Marine Data Portal is developed by scientists for scientists in order to facilitate Findability and Access of marine research data for Reuse. It supports machine-readable and data driven science. Please note that the quality of the data may vary depending on the purpose for which it was originally collected.
GLOBE (Global Collaboration Engine) is an online collaborative environment that enables land change researchers to share, compare and integrate local and regional studies with global data to assess the global relevance of their work.
The Copernicus Marine Environment Monitoring Service (CMEMS) provides regular and systematic reference information on the physical and biogeochemical state, variability and dynamics of the ocean and marine ecosystems for the global ocean and the European regional seas. The observations and forecasts produced by the service support all marine applications, including: Marine safety; Marine resources; Coastal and marine environment; Weather, seasonal forecasting and climate. For instance, the provision of data on currents, winds and sea ice help to improve ship routing services, offshore operations or search and rescue operations, thus contributing to marine safety. The service also contributes to the protection and the sustainable management of living marine resources in particular for aquaculture, sustainable fisheries management or regional fishery organisations decision-making process. Physical and marine biogeochemical components are useful for water quality monitoring and pollution control. Sea level rise is a key indicator of climate change and helps to assess coastal erosion. Sea surface temperature elevation has direct consequences on marine ecosystems and appearance of tropical cyclones. As a result of this, the service supports a wide range of coastal and marine environment applications. Many of the data delivered by the service (e.g. temperature, salinity, sea level, currents, wind and sea ice) also play a crucial role in the domain of weather, climate and seasonal forecasting.
The Environmental Change Network is the UK’s long-term environmental monitoring and research (LTER) programme. We make regular measurements of plant and animal communities and their physical and chemical environment. Our long-term datasets are used to increase understanding of the effects of climate change, air pollution and other environmental pressures on UK ecosystems.
The TropFlux provides surface heat and momentum flux data of tropical oceans (30°N-30°S) between January 1979 and September 2011. The TropFlux data is produced under a collaboration between Laboratoire d’Océanographie: Expérimentation et Approches Numériques (LOCEAN) from Institut Pierre Simon Laplace (IPSL, Paris, France) and National Institute of Oceanography/CSIR (NIO, Goa, India), and supported by Institut de Recherche pour le Développement (IRD, France). TropFlux relies on data provided by the ECMWF Re-Analysis interim (ERA-I) and ISCCP projects. Since 2014 located at Indian National Centre for Ocean Information Services.
Greenland Environmental Observatory (GEOSummit) provides long term year round data on core atmospheric measurements, spatial phenomena, ice sheets, and the Arctic Environment. These data are available to researchers through the National Science Foundation's Science Coordination Office (SCO) which coordinates all research at GEOSummit. Currently there is not a central platform for multi-collaborator data distribution. For specific information related to research it is recommended to contact investigators directly.
AmeriFlux is a network of PI-managed sites measuring ecosystem CO2, water, and energy fluxes in North, Central and South America. It was established to connect research on field sites representing major climate and ecological biomes, including tundra, grasslands, savanna, crops, and conifer, deciduous, and tropical forests. As a grassroots, investigator-driven network, the AmeriFlux community has tailored instrumentation to suit each unique ecosystem. This “coalition of the willing” is diverse in its interests, use of technologies and collaborative approaches. As a result, the AmeriFlux Network continually pioneers new ground.
MEMENTO aims to become a valuable tool for identifying regions of the world ocean that should be targeted in future work to improve the quality of air-sea flux estimates.
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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.
Welcome to the home page of the Rutgers/New Jersey Geological and Water Survey Core Repository. We are an official repository of the International Ocean Discovery Program (IODP), hosting Legs 150X and 174AX onshore cores drilled as part of the NJ/Mid-Atlantic Transect, and the New Jersey Geological and Water Survey (NJGWS). Cores from other ODP/IODP repositories are available through ODP. In addition to ODP/IODP cores, we are the repository for: 1. 6668 m of Newark Basin Drilling Project Triassic cores (e.g., Olsen, Kent, et al. 1996) 2. More than 10,000 m of the Army Corps of Engineers Passaic Tunnel Project Triassic and Jurassic cores 3. 1947 m of core from the Chesapeake Bay Impact Structure Deep Hole 4. Cores obtained from the Northern North Atlantic as part of the IODP Expedition 303/306 5. Cores from various rift and drift basins on the eastern and Gulf Coasts of the U.S. 6. Geological samples from the New Jersey Geological and Water Survey (NJGWS) and United States Geological Survey (USGS) including 304 m of continuous NJGWS/USGS NJ coastal plain cores.
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 objective of this database is to stimulate the exchange of information and the collaboration between researchers within the ChArMEx community. However, this community is not exclusive and researchers not directly involved in ChArMEx, but who wish to contribute to the achievements of ChArMEx scientific and/or educational goals are welcome to join-in. The database is a depository for all the data collected during the various projects that contribute to ChArMEx coordinated program. It aims at documenting, storing and distributing the data produced or used by the project community. However, it is also intended to host datasets that were produced outside the ChArMEx program but which are meaningful to ChArMEx scientific and/or educational goals. Any data owner who wishes to add or link his dataset to ChArMEx database is welcome to contact the database manager in order to get help and support. The ChArMEx database includes past and recent geophysical in situ observations, satellite products and model outputs. The database organizes the data management and provides data services to end-users of ChArMEx data. The database system provides a detailed description of the products and uses standardized formats whenever it is possible. It defines the access rules to the data and details the mutual rights and obligations of data providers and users (see ChArMEx data and publication policy). The database is being developed jointly by : SEDOO, OMP Toulouse , ICARE, Lille and ESPRI, IPSL Paris
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The main focus of tambora.org is Historical Climatology. Years of meticulous work in this field in research groups around the world have resulted in large data collections on climatic parameters such as temperature, precipitation, storms, floods, etc. with different regional, temporal and thematic foci. tambora.org enables researchers to collaboratively interpret the information derived from historical sources. It provides a database for original text quotations together with bibliographic references and the extracted places, dates and coded climate and environmental information.
This hub supports the geospatial modeling, data analysis and visualization needs of the broad research and education communities through hosting of groups, datasets, tools, training materials, and educational contents.
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The CRC1211DB is the project-database of the Collaborative Research Centre 1211 "Earth -Evolution at the dry limit" (CRC1211, https://sfb1211.uni-koeln.de/) funded by the German Research Foundation (DFG, German Research Foundation – Projektnummer 268236062). The project-database is a new implementation of the TR32DB and online since 2016. It 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, biology, geography, geology, meteorology and 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.