Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Certificates

Data access

Data access restrictions

Database access

Database licenses

Data licenses

Data upload

Data upload restrictions

Enhanced publication

Institution responsibility type

Institution type

Keywords

Metadata standards

PID systems

Provider types

Quality management

Repository languages

Software

Repository types

Versioning

  • * at the end of a keyword allows wildcard searches
  • " quotes can be used for searching phrases
  • + represents an AND search (default)
  • | represents an OR search
  • - represents a NOT operation
  • ( and ) implies priority
  • ~N after a word specifies the desired edit distance (fuzziness)
  • ~N after a phrase specifies the desired slop amount
  • 1 (current)
Found 6 result(s)
NOAA's National Centers for Environmental Information (NCEI) are responsible for hosting and providing public access to one of the most significant archives for environmental data on Earth with over 20 petabytes of comprehensive atmospheric, coastal, oceanic, and geophysical data. NCEI headquarters are located in Asheville, North Carolina. Most employees work in the four main locations, but apart from those locations, NCEI has employees strategically located throughout the United States. The main locations are Cooperative Institute for Climate and Satellites–North Carolina (CICS-NC) at Asheville, North Carolina, Cooperative Institute for Research in Environmental Sciences (CIRES) at Boulder Colorado, Cooperative Institute for Climate and Satellites–Maryland (CICS-MD) at Silver Spring Maryland and Stennis Space Center, Mississippi.
ISRIC - World Soil Information is an independent foundation. As regular member of the ICS World Data System it is also known as World Data Centre for Soils (WDC-Soils). ISRIC was founded in 1966 through the International Soil Science Society (ISSS) and United Nations Educational, Scientific and Cultural Organization (UNESCO), with a mission to "help to increase the availability and use of soil data, information and knowledge to enable better decision making for sustainable land management around the world". Our work is organised according to four work streams: 1) Global soil information & standards, 2) Community of practice for soil information providers, 3) Products and services to support SLM (sustainable land management) decision making, and 4) Awareness, education and dialogues. data.isric.org is our central location for searching and downloading soil data bases/maps from around the world. We support Open Data whenever possible, respecting inherited rights (licenses).
Country
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.
Country
The Norwegian Meteorological Institute supplies climate observations and weather data and forecasts for the country and surrounding waters (including the Arctic). In addition commercial services are provided to fit customers requirements. Data are served through a number of subsystems (information provided in repository link) and cover data from internal services of the institute, from external services operated by the institute and research projects where the institute participates. Further information is provided in the landing page which also contains entry points some of the data portals operated.
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.
The International Center for Global Earth Models collects and distributes historical and actual global gravity field models of the Earth and offers calculation service for derived quantities. In particular the tasks include: collecting and archiving of all existing global gravity field models, web interface for getting access to global gravity field models, web based visualization of the gravity field models their differences and their time variation, web based service for calculating different functionals of the gravity field models, web site for tutorials on spherical harmonics and the theory of the calculation service. As new service since 2016, ICGEM is providing a Digital Object Identifier (DOI) for the data set of the model (the coefficients).