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Found 53 result(s)
A planetary-scale platform for Earth science data & analysis. Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. Scientists, researchers, and developers use Earth Engine to detect changes, map trends, and quantify differences on the Earth's surface.
OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources. The OpenTopography Facility is based at the San Diego Supercomputer Center at the University of California, San Diego and is operated in collaboration with colleagues in the School of Earth and Space Exploration at Arizona State University and Earthscope Consortium. Core operational support for OpenTopography comes from the National Science Foundation Earth Sciences.
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.
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.
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In a changing climate, water raises increasingly complex challenges: concerning its quantity, quality, availability, allocation, use and significance as a habitat, resource and cultural medium. Dharmae, a ‘Data Hub of Australian Research on Marine and Aquatic Ecocultures’ brings together multi-disciplinary research data relating to water in all these forms. The term “ecoculture” guides the development of this collection and its approach to data discovery. Ecoculture recognizes that, since nature and culture are inextricably linked, there is a corresponding need for greater interconnectedness of the different knowledge systems applied to them.
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Real time and archival databases containing Canadian water information. These data include, archived hydrometric data, water level and streamflow statistics, daily and monthly mean flow, water level and sediment concentration for monitoring station across Canada. The Water Survey of Canada (WSC) is the national authority responsible for the collection, interpretation and dissemination of standardized water resource data and information in Canada. In partnership with the provinces, territories and other agencies, WSC operates over 2800 active hydrometric gauges across the country.
The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves and beaches along the coastlines of the United States. Since its inception in 1975, the program has produced a vast database of publicly-accessible environmental data for use by coastal engineers and planners, scientists, mariners, and marine enthusiasts. The program has also remained at the forefront of coastal monitoring, developing numerous innovations in instrumentation, system control and management, computer hardware and software, field equipment, and installation techniques.
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.
The EarthEnv project is a collaborative project of biodiversity scientists and remote sensing experts to develop near-global standardized, 1km resolution layers for monitoring and modeling biodiversity, ecosystems, and climate. The work is supported by NCEAS, NASA, NSF, and Yale University.
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RESPECT aims to unveil for the mountain rain forest in South Ecuador how major ecosystem functions, (i) ecosystem biomass production, and (ii) water fluxes, are affected by ongoing and future environmental changes through alterations in response and effect traits of relevant biota. The research question is addressed with two approaches: (i) A newest generation Land Surface Model (LSM) and (ii) a statistical response–effect framework (REF). By including (i) specific Plant Functional Types (PFTs) for the megadiverse biodiversity hotspot, (ii) introducing trait diversity, (iii) new modules for tree hydraulics and (iv) new modules of focal biological processes (seed dispersal and PFT establishment, herbivory) we will conduct a biodiversification of LSMs.
The European Soil Data Centre (ESDAC) is the thematic centre for soil related data in Europe. Its ambition is to be the single reference point for and to host all relevant soil data and information at European level. It contains a number of resources that are organized and presented in various ways: datasets, services/applications, maps, documents, events, projects and external links.
Global environmental (climate, vegetation, soils, land degradation, hydrology, land cover) layers representing the land mask. Hosted by the OpenGeoHub foundation OpenLandMap.org is a data portal to the world's environmental data representing land mask (land cover, vegetation, soil, climate, terrain data and similar). OpenLandMap.org is the web-mapping component of the LandGIS (Geographic Information System for land data).
The Met Office is the UK's National Weather Service. We have a long history of weather forecasting and have been working in the area of climate change for more than two decades. As a world leader in providing weather and climate services, we employ more than 1,800 at 60 locations throughout the world. We are recognised as one of the world's most accurate forecasters, using more than 10 million weather observations a day, an advanced atmospheric model and a high performance supercomputer to create 3,000 tailored forecasts and briefings a day. These are delivered to a huge range of customers from the Government, to businesses, the general public, armed forces, and other organisations.
The changing demographic composition has expanded the scope of the U.S. racial and ethnic mosaic. As a result, interest and research on race and ethnicity has become more complex and expansive. RCMD seeks to assist in the public dissemination and preservation of quality data to generate more "good science" for years to come. Finally, RCMD wants to be part of an interactive community of persons interested and be involved in minority related issues/investigations in order to make possible the broadest scope of research endeavors and examinations.
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The eAtlas is a website, mapping system and set of data visualisation tools for presenting research data in an accessible form that promotes greater use of this information. The eAtlas will serve as the primary data and knowledge repository for all NERP Tropical Ecosystems Hub projects, which focus on the on the Great Barrier Reef, Wet Tropics rainforest and Torres Strait. The eAtlas will capture and record research outcomes and make them available to research-users in a timely, readily accessible manner. It will host meta-data records and provide an enduring repository for raw data. It will also develop and host web visualisations to view information using a simple and intuitive interface. This will assist scientists with data discovery and allow environmental managers to access and investigate research data.
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Established in 1998, we have been the authoritative source of spatial data and imagery in Alberta for over 20 years. We have a joint venture agreement with Alberta Data Partnerships Ltd. (ADP) and are responsible for the day-to-day management and distribution of the digital data sets they manage. As the agent for ADP, we are responsible for making mapping products available, accessible, accurate and affordable. We are the leading data management, maintenance, and distribution company in Alberta, and ensure the continued updating, re-engineering, storage, distribution, value-added redistribution, and general management of primary provincial mapping datasets. Our webstore, Altalis.com, enables customers to explore, view, and acquire spatial data products both paid and open data with the click of a button. We take pride in providing exceptional customer service and building long-term relationships with our clients. Our experienced customer service team are available to answer any questions you may have about finding the right data to meet your needs.
The National Weather Service, Fairbanks provides weather data relating to and observed in the Fairbanks, AK area. Data includes current, past, and future weather. Databases are organized primarily by the type of data (e.g. weather data, climate data, hydrology, warning/hazard alerts) and then are searchable by research location.
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The database GEOROC (Geochemistry of Rocks of the Oceans and Continents) is a comprehensive collection of published analyses of igneous and metamorphic rocks and minerals. It contains major and trace element concentrations, radiogenic and nonradiogenic isotope ratios as well as analytical ages for whole rocks, glasses, minerals and inclusions. Metadata include geospatial and other sample information, analytical details and references. The database was established by the Max Plank Institute for Chemistry, Mainz. It is now maintained by the Digital Geochemical Data Infrastructure (DIGIS) project at Göttingen University.
The National Vegetation Survey (NVS) Databank is a physical archive and electronic databank containing records of over 121,000 vegetation survey plots - including data from over 25,000 permanent plots in New Zealand. The data can be explored online and requested for download. The NVS Databank provides data spanning more than 60 years of indigenous and exotic plant plot records from throughout New Zealand's terrestrial ecosystems. The physical archive includes plot sheets, maps, and photographs from many years of vegetation surveys. Purpose-built software for entering, validating and summarising data is available. NVS is accorded the status of a Nationally Significant database and upkeep and maintenance is supported by Core funding for Crown Research Institutes from the NZ Ministry of Business, Innovation and Employment.