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Jason is a remote-controlled deep-diving vessel that gives shipboard scientists immediate, real-time access to the sea floor. Instead of making short, expensive dives in a submarine, scientists can stay on deck and guide Jason as deep as 6,500 meters (4 miles) to explore for days on end. Jason is a type of remotely operated vehicle (ROV), a free-swimming vessel connected by a long fiberoptic tether to its research ship. The 10-km (6 mile) tether delivers power and instructions to Jason and fetches data from it.
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Sextant is a marine and coastal geographic data infrastructure. It is operated by Scientific Information Systems for the Sea (SISMER) of Ifremer (https://www.ifremer.fr/). Sextant aims to document, disseminate and promote a catalog of data related to the marine environment. For Ifremer's laboratories and partners, as well as for national and European actors working in the marine and coastal field, Sextant provides tools that promote and facilitate the archiving, consultation and availability of these geographical data. Data published by Sextant are available free or restricted. They can be used in accordance with the terms of the Creative Commons license selected by the author of data. Sextant infrastructure and the technologies used are in line with the implementation of the INSPIRE Directive and make it possible to follow the Open Data approach. Some data set published by Sextant has a DOI which enables it to be cited in a publication in a reliable and sustainable way. The long-term preservation of data filed in Sextant is ensured by Ifremer infrastructure.
Country
DIAS aims at collecting and storing earth observation data; analyzing such data in combination with socio-economic data, and converting data into information useful for crisis management with respect to global-scale environmental disasters, and other threats; and to make this information available within Japan and overseas.
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.
UNAVCO promotes research by providing access to data that our community of geodetic scientists uses for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. After processing, these data enable millimeter-scale surface motion detection and monitoring at discrete points, and high-resolution strain imagery over areas of tens of square meters to hundreds of square kilometers. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.
The purpose of the Dataset Catalogue is to enhance discovery of GNS Science datasets. At a minimum, users will be able to determine whether a dataset on a specific topic exists and then whether it pertains to a specific place and/or a specific date or period. Some datasets include a web link to an online resource. In addition, contact details are provided for the custodian of each dataset as well as conditions of use.
Country
The vision of the JaLTER is to provide scientific knowledge which contributes to conservation, advancement and sustainability of environment, ecosystem services, productivity and biodiversity for a society by conducting long-term and interdisciplinary research in ecological science including human dimensions. The JaLTER is closely linked with the International Long-Term Ecological Research Network (ILTER Network).