NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC) is located at NASA's Jet Propulsion Laboratory in Pasadena, California. PO.DAAC manages and provides tools and services for NASA's oceanographic and hydrologic data (satellite, airborne, and in-situ) to enable a greater understanding of the physical processes and conditions of the global ocean. Measurements include gravity, ocean winds, sea surface temperature, ocean surface topography, sea surface salinity, and circulation. The data support a wide range of applications including climate research, weather prediction, resource management, policy, and the stewardship of ocean data resources.

All statistics of UNCTAD are harmonized and integrated into UNCTADstat- free to use dissemination platform. It gives access to basic and derived indicators built upon common rules, harmonized environment and clear methodology supported by powerful data browsing system. The statistical series are regularly updated and classified into easy-to-navigate themes. UNCTADstat offers ready-to-use analytical groupings, with a unique coverage for countries and products and a particular focus on developing and transition economies. This approach ensures data consistency across multiple data series, and enables users to harness its full potential by mixing and matching data from various domains. The navigation browser allows table or graphic presentations, easy selection and reorganization of data, personalized functionalities and several straightforward extraction options.

NASA's OceanColor Web is supported by the Ocean Biology Processing Group (OBPG) at NASA's Goddard Space Flight Center. Our responsibilities include the collection, processing, calibration, validation, archive and distribution of ocean-related products from a large number of operational, satellite-based remote-sensing missions providing ocean color, sea surface temperature and sea surface salinity data to the international research community since 1996. As a Distributed Active Archive Center (DAAC), known as the Ocean Biology DAAC (OB.DAAC), we are responsible for the archive and distribution of satellite ocean biology data produced or collected under NASA EOSDIS, including those from historical missions and partner space organizations.

The Ocean Data Viewer offers users the opportunity to view and download a range of spatial datasets that are useful for informing decisions regarding the conservation of marine and coastal biodiversity. These decisions ultimately affect the ocean's health and productivity, which provide the ecosystem services that are necessary for our well-being, livelihoods, and survival. To date, the users of this tool have included government agencies, scientists, researchers, the corporate sector, and non-governmental organisations. These data come from internationally respected scientific institutions and other organisations that have agreed to make their data available to the global community, with the hope that these data will support and encourage informed decision-making that sustains global biodiversity and ecosystem services. The Ocean Data Viewer is primarily a mechanism to view and download data, and is not intended to be used for analysis or to query data.

EMODnet (European Marine Observation and Data Network) is the long term marine data initiative supported by the European Commission since 2009 to ensure that European marine data will become easily accessible, interoperable, and free on restrictions on use. EMODnet Chemistry provides access to standardized, harmonized and validated chemical data collections for water quality evaluation at a regional scale, as defined by the Marine Strategy Framework Directive (MSFD). The data portal has adopted and adapted SeaDataNet standards and services, establishing interoperability between the data sets from the many different providers (more than 60 in EMODnet Chemistry network). Concentration maps of nutrients, chlorophyll-a and dissolved oxygen are computed on a standard grid, providing information at a regular time interval, per season and over several vertical layers, including the deepest one. Dedicated OGC standard services for browsing, viewing and downloading chemistry observation, data and data products for the European waters have been developed, and are actively maintained and monitored.

The EMODnet Bathymetry portal is operated and further developed by a European partnership. This comprises members of the SeaDataNet consortium together with organisations from marine science, the hydrographic survey community, and industry. The partners combine expertises and experiences of collecting, processing, and managing of bathymetric data together with expertises in distributed data infrastructure development and operation and providing OGC services (WMS, WFS, and WCS) for viewing and distribution. SeaDataNet is a leading infrastructure in Europe for marine & ocean data management, initiated and managed by the National Oceanographic Data Centres (NODC's). It is actively operating and further developing a Pan-European infrastructure for managing, indexing and providing access to ocean and marine data sets and data products, acquired via research cruises and other in-situ observational activities. The basis of SeaDataNet is interconnecting Data Centres into a distributed network of data resources with common standards for metadata, vocabularies, data transport formats, quality control methods and flags, and access. SeaDataNet is aiming for an extensive coverage of available data sets for the various marine environmental disciplines, such as physical oceanography, marine chemistry, biology, biodiversity, geology, geophysics and bathymetry. This is implemented by seeking active cooperation at a national scale with institutes and at a European scale with communities, that are engaged in data management for these disciplines, and by seeking opportunities for including their data centres and data collections in the SeaDataNet metadata and data provision.

Built and developed by researchers, to ensure that everyone can join in Open Science. The OpenAIRE project, in the vanguard of the open access and open data movements in Europe was commissioned by the EC to support their nascent Open Data policy by providing a catch-all repository for EC funded research. CERN, an OpenAIRE partner and pioneer in open source, open access and open data, provided this capability and Zenodo was launched in May 2013. In support of its research programme CERN has developed tools for Big Data management and extended Digital Library capabilities for Open Data. Through Zenodo these Big Science tools could be effectively shared with the long­-tail of research. Zenodo helps researchers receive credit by making the research results citable and through OpenAIRE integrates them into existing reporting lines to funding agencies like the European Commission. Citation information is also passed to DataCite and onto the scholarly aggregators.

Accredited through the MEDIN partnership, and core-funded by the Department for the Environment, Food and Rural Affairs (Defra) and the Scottish Government, DASSH provides tools and services for the long-term curation, management and publication of marine species and habitats data, within the UK and internationally. Below are a selection of projects, outputs and deliverables that DASSH and the MBA Data Team have been involved in recently. - NE Data Management: DASSH have been contracted by the Marine team at Natural England (NE) to support NE data dissemination. We have been digitising datasets used in Article 17 reporting and helping them input data to Marine Recorder and MEDIN guidelines. In addition, DASSH is running a 2-day workshop with the marine data team in October 2014 on data management and standards. The aims of the workshop are to present MEDIN data guidelines and standards and to run practicals on quality assurance (QA) issues with data, creating MEDIN formatted data, and creation of MEDIN metadata. - MCZ Data Archiving: DASSH staff have been working with Defra, JNCC, Natural England, Cefas and the other MEDIN DAC's in the development and implementation of a strategy for the archiving and dissemination of MCZ survey data. This involves the archives of many terrabytes of data from the survey work undertaken at 127 sites. DASSH is currently working with the other DACs archiving the data from several MCZ sites before taking delivery of the complete survey catalogue. - Non-Natives Data Management: DASSH staff work with other members of the KE team to help deliver the MBA contribution to the GB Non-native Species Information Portal. The data team ensure the validation of records submitted and raise alerts when records of Invasive Non-Native Species of concern and in disseminating information about species distribution via DASSH and the NBN. DASSH staff continue to liaise with organisations to ensure the prompt flow of marine non-native species distribution data to the public domain. The KE team facilitated the identification of two new marine invasive non-native species in 2014 and have subsequently created the identification sheet for these species. Hemigrapsus sanguineus (from volunteer records sent in for identification) and Hemigrapsus takanoi (first recorded by the John Bishop Group survey team). - EMODNet Biology: The Data Team are part of a consortium led by the Flanders Marine Institute (VLIZ) for the biological data component of EMODNet (European Marine Observation and Data Network). The Data Team will lead a work package relating to biological traits and indicator species as identified for Marine Strategy Framework Directive (MSFD) reporting, bringing an additional €130k of funding. - VALMER: The Data Team led a key work package in a £3.7 million (ca. €260k for the MBA) INTERREG project to "Develop, trial and refine methodologies that will be used to quantify and communicate the value (economical, social and environmental) of marine and coastal ecosystem services". The research identified an operational framework to value marine ecosystem services, and which could be used to enhance marine planning and policy decisions.

EMODnet Biology provides three keys services and products to users. 1)The data download toolbox allows users to explore available datasets searching by source, geographical area, and/or time period. Datasets can be narrowed down using a taxonomic criteria, whether by species group (e.g. benthos, fish, algae, pigments) or by both scientific and common name. 2) The data catalogue is the easiest way to access nearly 1000 datasets available through EMODnet Biology. Datasets can be filtered by multiple parameters via the advanced search from taxon, to institute, to geographic region. Each of the resulting datasets then links to a detailed fact sheet containing a link to original data provider, recommended citation, policy and other relevant information. Data Products - EMODnet Biology combines different data from datasets with overlapping geographic scope and produces dynamic maps of selected species abundance. The first products are already available and they focus on species whose data records are most complete and span for a longer term.

The Knowledge Network for Biocomplexity (KNB) is an international repository intended to facilitate ecological and environmental research. The KNB was launched in 1998 with a grant from the National Science Foundation (NSF), with the purpose of being the long term home for synthesis datasets and research products generated by National Center for Ecological Analysis and Synthesis (NCEAS) working groups. Since then, NCEAS has continued to operate the KNB not only as an archive for NCEAS working group products, but also for the broader ecology and environmental science community. The KNB acceps all environmental or ecological related data and publishes datasets with Digital Object Identifiers for the express purpose of ensuring long-term access to these datasets. We strive to abide by FAIR (findable, accessible, interoperable, resuble) principles of data sharing and preservation. For scientists, the KNB is an efficient way to share, discover, access and interpret complex ecological data. Due to rich contextual information provided with KNB data, scientists are able to integrate and analyze data with less effort. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The foundation of the KNB is the rich, detailed metadata provided by researchers that collect data, which promotes both automated and manual integration of data into new projects.