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Found 22 result(s)
Surface air temperature change is a primary measure of global climate change. The GISTEMP project started in the late 1970s to provide an estimate of the changing global surface air temperature which could be compared with the estimates obtained from climate models simulating the effect of changes in atmospheric carbon dioxide, volcanic aerosols, and solar irradiance. The continuing analysis updates global temperature change from the late 1800s to the present.
>>> the repository is offline <<< The Detection of Archaeological Residues using Remote-sensing Techniques (DART) project was initiated in 2010 in order to investigate the ability of various sensors to detect archaeological features in ‘difficult’ circumstances. Concluding in September 2013, DART had the overall aim of developing analytical methods for identifying and quantifying gradual changes and dynamics in sensor responses associated with surface and near-surface archaeological features under different environmental and land-management conditions.
GLOBE (Global Collaboration Engine) is an online collaborative environment that enables land change researchers to share, compare and integrate local and regional studies with global data to assess the global relevance of their work.
MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (originally known as EOS AM-1) and Aqua (originally known as EOS PM-1) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.
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Applying the Terrestrial Systems Modeling Platform, TerrSysMP, this dataset consists of the first simulated long-term (1989-2018), high-resolution (~12.5km) terrestrial system climatology over Europe, which comprises variables from groundwater across the land surface to the top of atmosphere (G2A). This data set constitutes a near-natural realization of the European terrestrial system, which cannot be obtained from observations, and can, thus, serve as a reference for global change simulations including human water use and climate change.
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.
CESM is a fully-coupled, community, global climate model that provides state-of-the-art computer simulations of the Earth's past, present, and future climate states.
Search and access 201 data sets covering the Atmosphere, Ocean, Land and more. Explore climate indices, reanalyses and satellite data and understand their application to climate model metrics. This is the only data portal that combines data discovery, metadata, figures and world-class expertise on the strengths, limitations and applications of climate data.
The World Data Center for Remote Sensing of the Atmosphere, WDC-RSAT, offers scientists and the general public free access (in the sense of a “one-stop shop”) to a continuously growing collection of atmosphere-related satellite-based data sets (ranging from raw to value added data), information products and services. Focus is on atmospheric trace gases, aerosols, dynamics, radiation, and cloud physical parameters. Complementary information and data on surface parameters (e.g. vegetation index, surface temperatures) is also provided. This is achieved either by giving access to data stored at the data center or by acting as a portal containing links to other providers.
The ASTER Project consists of two parts, each having a Japanese and a U.S. component. Mission operations are split between Japan Space Systems (J-spacesystems) and the Jet Propulsion Laboratory (JPL) in the U.S. J-spacesystems oversees monitoring instrument performance and health, developing the daily schedule command sequence, processing Level 0 data to Level 1, and providing higher level data processing, archiving, and distribution. The JPL ASTER project provides scheduling support for U.S. investigators, calibration and validation of the instrument and data products, coordinating the U.S. Science Team, and maintaining the science algorithms. The joint Japan/U.S. ASTER Science Team has about 40 scientists and researchers. Data access via NASA Reverb, ASTER Japan site, earth explorer, GloVis,GDEx and LP DAAC. See here https://asterweb.jpl.nasa.gov/data.asp. In Addition data are availabe through the newly implemented ASTER Volcano archive (AVA) https://ava.jpl.nasa.gov/ .
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The National Earth System Science Data Sharing Service Platform is one of the 23 national science and technology infrastructure platforms identified by the Ministry of Science and Technology and the Ministry of Finance as the first batch of platforms. The platform is led by the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. Since its construction in 2003, more than 40 domestic and overseas units have participated in the platform construction. National Earth System Science Data Sharing Service Platform main development course: The overall goal of the platform is to integrate and integrate the data resources generated by data center groups, universities, research institutes and scientists in China and abroad, to import international data resources and to receive the data resources generated by major national scientific research projects. Based on this, Processing data products. We will improve standards and operational mechanisms and provide data support for Earth system science research and sustainable socio-economic development through the Earth System Scientific Data Sharing Network Platform and professional service teams. The recent consolidation of data resources required to share the research on land surface systems and human-land relations.
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Tethys is an Open Access Research Data Repository of the GeoSphere Austria, which publishes and distributes georeferenced geoscientific research data generated at and in cooperation with the GeoSphere Austria. The research data publications and the associated metadata are predominantly provided in German or in English. The abstracts are provided in both languages. Tethys aims to provide published data sets as open data and in accordance with the FAIR Data Principles, findable, accessible, interoperable and reusable.
The main goal of the ECCAD project is to provide scientific and policy users with datasets of surface emissions of atmospheric compounds, and ancillary data, i.e. data required to estimate or quantify surface emissions. The supply of ancillary data - such as maps of population density, maps of fires spots, burnt areas, land cover - could help improve and encourage the development of new emissions datasets. ECCAD offers: Access to global and regional emission inventories and ancillary data, in a standardized format Quick visualization of emission and ancillary data Rationalization of the use of input data in algorithms or emission models Analysis and comparison of emissions datasets and ancillary data Tools for the evaluation of emissions and ancillary data ECCAD is a dynamical and interactive database, providing the most up to date datasets including data used within ongoing projects. Users are welcome to add their own datasets, or have their regional masks included in order to use ECCAD tools.
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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.
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The TERN Data Discovery Portal (TDDP) is a gateway to search and access all the datasets published by the Australian Terrestrial Ecosystem Research Network. In the TERN data discovery portal, users can conduct textual and graphical searches on the metadata catalogue using a web interface with temporal, spatial, and eco science related controlled vocabulary keywords. Requests to download data discovered through different data services associated with TERN. Downloading, using and sharing data will be subjected to the TERN data licensing framework (https://www.tern.org.au/datalicence/).
The NADP monitors precipitation chemistry from numerous sites around the United States. The NADP consists of 5 networks: National Trends Network, Mercury Deposition Network, Atmospheric Integrated Research Monitoring Network, Atmospheric Mercury Network, and Ammonia Monitoring Network. Data is provided by each network.
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The arctic data archive system (ADS) collects observation data and modeling products obtained by various Japanese research projects and gives researchers to access the results. By centrally managing a wide variety of Arctic observation data, we promote the use of data across multiple disciplines. Researchers use these integrated databases to clarify the mechanisms of environmental change in the atmosphere, ocean, land-surface and cryosphere. That ADS will be provide an opportunity of collaboration between modelers and field scientists, can be expected.
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TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurement) is the first bistatic SAR mission in space. TanDEM-X and its twin satellite TerraSAR-X are flying in a closely controlled formation with typical distances between 250 and 500 meters. Primary mission objective is the generation of a consistent global digital elevation model with few meter level height accuracy. Beyond that, GFZ equipped TanDEM-X with a geodetic grade GPS receiver for precise baseline determination and for radio occultation measurements. TanDEM-X was launched on June 21, 2010 for a 5 year mission lifetime. The GPS radio occultation data of the German TanDEM-X satellite are analysed and globally distributed vertical atmospheric profiles (bending angles, refractivity, temperature, water vapor) are derived and provided for the international user community.
<<<!!!<<< The repository is no longer available. You can find the data using https://www.re3data.org/repository/r3d100010199 and searching for WATCH. Further information see: https://catalogue.ceh.ac.uk/documents/ba6e8ddd-22a9-457d-acf4-d63cd34f2dda >>>!!!>>>
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PANGAEA - Data Publisher for Earth & Environmental Sciences has an almost 30-year history as an open-access library for archiving, publishing, and disseminating georeferenced data from the Earth, environmental, and biodiversity sciences. Originally evolving from a database for sediment cores, it is operated as a joint facility of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) and the Center for Marine Environmental Sciences (MARUM) at the University of Bremen. PANGAEA holds a mandate from the World Meteorological Organization (WMO) and is accredited as a World Radiation Monitoring Center (WRMC). It was further accredited as a World Data Center by the International Council for Science (ICS) in 2001 and has been certified with the Core Trust Seal since 2019. The successful cooperation between PANGAEA and the publishing industry along with the correspondent technical implementation enables the cross-referencing of scientific publications and datasets archived as supplements to these publications. PANGAEA is the recommended data repository of numerous international scientific journals.