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Found 28 result(s)
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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.
The OpenMadrigal project seeks to develop and support an on-line database for geospace data. The project has been led by MIT Haystack Observatory since 1980, but now has active support from Jicamarca Observatory and other community members. Madrigal is a robust, World Wide Web based system capable of managing and serving archival and real-time data, in a variety of formats, from a wide range of ground-based instruments. Madrigal is installed at a number of sites around the world. Data at each Madrigal site is locally controlled and can be updated at any time, but shared metadata between Madrigal sites allow searching of all Madrigal sites at once from any Madrigal site. Data is local; metadata is shared.
Water DAMS (Water Data Analysis and Management System) provides access to foundational water treatment technology data that enable researchers and decision-makers to identify and quantify opportunities for technology innovations to reduce the cost and energy intensity of desalination. It is the submission point for all data generated by research conducted by the National Alliance for Water Innovation (NAWI) and is designed to be used by the broader water research community. With publicly accessible contributions from a variety of academic and industrial partners, Water DAMS seeks to enable data discoverability, improve accessibility, and accelerate collaboration that contributes to pipe parity and innovation in water treatment technologies.
The PDS archives and distributes scientific data from NASA planetary missions, astronomical observations, and laboratory measurements. The PDS is sponsored by NASA's Science Mission Directorate. Its purpose is to ensure the long-term usability of NASA data and to stimulate advanced research
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DataverseNO (https://dataverse.no) is a curated, FAIR-aligned national generic repository for open research data from all academic disciplines. DataverseNO commits to facilitate that published data remain accessible and (re)usable in a long-term perspective. The repository is owned and operated by UiT The Arctic University of Norway. DataverseNO accepts submissions from researchers primarily from Norwegian research institutions. Datasets in DataverseNO are grouped into institutional collections as well as special collections. The technical infrastructure of the repository is based on the open source application Dataverse (https://dataverse.org), which is developed by an international developer and user community led by Harvard University.
The International Service of Geomagnetic Indices (ISGI) is in charge of the elaboration and dissemination of geomagnetic indices, and of tables of remarkable magnetic events, based on the report of magnetic observatories distributed all over the planet, with the help of ISGI Collaborating Institutes. The interaction between the solar wind, including plasma and interplanetary magnetic field, and the Earth's magnetosphere results in a transfer of energy and particles inside the magnetosphere. Solar wind characteristics are highly variable, and they have actually a direct influence on the shape and size of the magnetosphere, on the amount of transferred energy, and on the way this energy is dissipated. It is clear that the great diversity of sources of magnetic variations give rise to a great complexity in ground magnetic signatures. Geomagnetic indices aim at describing the geomagnetic activity or some of its components. Each geomagnetic index is related to different phenomena occurring in the magnetosphere, ionosphere and deep in the Earth in its own unique way. The location of a measurement, the timing of the measurement and the way the index is calculated all affect the type of phenomenon the index relates to. The IAGA endorsed geomagnetic indices and lists of remarkable geomagnetic events constitute unique temporal and spatial coverage data series homogeneous since middle of 19th century.
The global data compilation consisting of ca. 60,000 data points may be downloaded in csv/xml format. This compilation does not contain the descriptive codes relating to metadata that were included in the previous compilations. Users are advised to consult the references and make their own interpretations as to the quality of the data.
Our research focuses mainly on the past and present bio- and geodiversity and the evolution of animals and plants. The Information Technology Center of the Staatliche Naturwissenschaftliche Sammlungen Bayerns is the institutional repository for scientific data of the SNSB. Its major tasks focus on the management of bio- and geodiversity data using different kinds of information technological structures. The facility guarantees a sustainable curation, storage, archiving and provision of such data.
The Space Physics Data Facility (SPDF) leads in the design and implementation of unique multi-mission and multi-disciplinary data services and software to strategically advance NASA's solar-terrestrial program, to extend our science understanding of the structure, physics and dynamics of the Heliosphere of our Sun and to support the science missions of NASA's Heliophysics Great Observatory. Major SPDF efforts include multi-mission data services such as Heliophysics Data Portal (formerly VSPO), CDAWeb and CDAWeb Inside IDL,and OMNIWeb Plus (including COHOWeb, ATMOWeb, HelioWeb and CGM) , science planning and orbit services such as SSCWeb, data tools such as the CDF software and tools, and a range of other science and technology research efforts. The staff supporting SPDF includes scientists and information technology experts.
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LIAG's Geophysics Information System (FIS GP) serves for the storage and supply of geophysical measurements and evaluations of LIAG and its partners. The architecture of the overall system intends a subdivision into an universal part (superstructure) and into several subsystems dedicated to geophysical methods (borehole geophysics, gravimetry, magnetics, 1D/2D geoelectrics, underground temperatures, seismics, VSP, helicopter geophysics and rock physics. The building of more subsystems is planned.
The ACTRIS DC is designed to assist scientists with discovering and accessing atmospheric data and contains an up-to-date catalogue of available datasets in a number of databases distributed throughout the world. A site like this can never be complete, but we have aimed at including datasets from the most relevant databases to the ACTRIS project, also building on the work and experiences achieved in the EU FP6 research project Global Earth Observation and Monitoring. The focus of the web portal is validated data, but it is also possible to browse the ACTRIS data server for preliminary data (rapid delivery data) through this site. The web site allows you to search in a local metadata catalogue that contains information on actual datasets that are archived in external archives. It is set up so that you can search for data by selecting the chemical/physical variable, the data location, the database that holds the data, the type of data, the data acquisition platform, and the data matrix
The IERS provides data on Earth orientation, on the International Celestial Reference System/Frame, on the International Terrestrial Reference System/Frame, and on geophysical fluids. It maintains also Conventions containing models, constants and standards.
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B2SHARE allows publishing research data and belonging metadata. It supports different research communities with specific metadata schemas. This server is provided for researchers of the Research Centre Juelich and related communities.
The Earth System Grid Federation (ESGF) is an international collaboration with a current focus on serving the World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project (CMIP) and supporting climate and environmental science in general. Data is searchable and available for download at the Federated ESGF-CoG Nodes https://esgf.llnl.gov/nodes.html
The U.S. Department of Energy’s (DOE) Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) data archive serves Earth and environmental science data. ESS-DIVE is funded by the Data Management program within the Climate and Environmental Science Division under the DOE’s Office of Biological and Environmental Research program (BER), and is maintained by the Lawrence Berkeley National Laboratory. ESS-DIVE will archive and publicly share data obtained from observational, experimental, and modeling research that is funded by the DOE’s Office of Science under its Subsurface Biogeochemical Research (SBR) and Terrestrial Ecosystem Science (TES) programs within the Environmental Systems Science (ESS) activity. ESS-DIVE was launched in July 2017, and is designed to provide long-term stewardship and use of data from observational, experimental and modeling activities in the DOE in the Subsurface Biogeochemical Research (SBR) and Terrestrial Ecosystem Science (TES) Programs in the Environmental System Science (ESS) activity.
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The RAM Legacy Stock Assessment Database is a compilation of stock assessment results for commercially exploited marine populations from around the world. The recently updated database offers many graphical and analytic tools to explore the data, as well as new data sets including; assessments from N.W. Africa, assessments from the Mediterranean Sea, assessments from Chile, data sets on Pacific salmon. The database is seeking collaborators to cover parts of the world that we are missing.
The Community Coordinated Modeling Center (CCMC) is a multi-agency partnership based at the NASA Goddard Space Flight Center in Greenbelt, Maryland and a component of the National Space Weather Program. The CCMC provides, to the international research community, access to modern space science simulations. In addition, the CCMC supports the transition to space weather operations of modern space research models.
OceanSITES is a worldwide system of long-term, deepwater reference stations measuring dozens of variables and monitoring the full depth of the ocean from air-sea interactions down to 5,000 meters. Since 1999, the international OceanSITES science team has shared both data and costs in order to capitalize on the enormous potential of these moorings. The growing network now consists of about 30 surface and 30 subsurface arrays. Satellite telemetry enables near real-time access to OceanSITES data by scientists and the public. OceanSITES moorings are an integral part of the Global Ocean Observing System. They complement satellite imagery and ARGO float data by adding the dimensions of time and depth.
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.
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The National Cryosphere Desert Data Center (hereinafter referred to as NCDC) is supported by the Institute of environment and Engineering in the cold and dry areas of the Chinese Academy of Sciences, in cooperation with Xinjiang Institute of ecology and geography of the Chinese Academy of Sciences, Chengdu Institute of mountain land disaster and environment of the Ministry of water resources of the Chinese Academy of Sciences, Qinghai Salt Lake Research Institute of the Chinese Academy of Sciences and Qinghai Gao of the Chinese Academy of Sciences The Institute of protobiology and other units were jointly established. The supporting units of glacier permafrost desert data center have formed a scientific research and support system of seven research laboratories and three research systems, highlighting the research characteristics of glacier, permafrost, desert, atmosphere, water and soil, ecology, environment, resources, engineering and sustainable development in the dry areas of cold regions.
The WDC is concerned with the collection, management, distribution and utilization of data from Chinese provinces, autonomous regions and counties,including: Resource data:management,distribution and utlilzation of land, water, climate, forest, grassland, minerals, energy, etc. Environmental data:pollution,environmental quality, change, natural disasters,soli erosion, etc. Biological resources:animals, plants,wildlife Social economy:agriculture, industry, transport, commerce,infrastructure,etc. Population and labor Geographic background data on scales of 1:4M,1:1M, 1:(1/2)M, 1:2500, etc.
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HYdrological cycle in the Mediterranean EXperiemnt. Considering the science and societal issues motivating HyMeX, the programme aims to : improve our understanding of the water cycle, with emphasis on extreme events, by monitoring and modelling the Mediterranean atmosphere-land-ocean coupled system, its variability from the event to the seasonal and interannual scales, and its characteristics over one decade (2010-2020) in the context of global change, assess the social and economic vulnerability to extreme events and adaptation capacity.The multidisciplinary research and the database developed within HyMeX should contribute to: improve observational and modelling systems, especially for coupled systems, better predict extreme events, simulate the long-term water-cycle more accurately, provide guidelines for adaptation measures, especially in the context of global change.
Neotoma is a multiproxy paleoecological database that covers the Pliocene-Quaternary, including modern microfossil samples. The database is an international collaborative effort among individuals from 19 institutions, representing multiple constituent databases. There are over 20 data-types within the Neotoma Paleoecological Database, including pollen microfossils, plant macrofossils, vertebrate fauna, diatoms, charcoal, biomarkers, ostracodes, physical sedimentology and water chemistry. Neotoma provides an underlying cyberinfrastructure that enables the development of common software tools for data ingest, discovery, display, analysis, and distribution, while giving domain scientists control over critical taxonomic and other data quality issues.
Database of mass spectra of known, unknown and provisionally identified substances. MassBank is the first public repository of mass spectral data for sharing them among scientific research community. MassBank data are useful for the chemical identification and structure elucidation of chemical compounds detected by mass spectrometry.