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Found 142 result(s)
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The database MORPHYLL contains quantitative and qualitative morphometric data of fossil angiosperm leaves from the Paleogene. The data are compiled from different fossil sites housed in various European Natural History Museums.
Our research focuses mainly on the past and present bio- and geodiversity and the evolution of animals and plants. The Information Technology Center of the Staatliche Naturwissenschaftliche Sammlungen Bayerns is the institutional repository for scientific data of the SNSB. Its major tasks focus on the management of bio- and geodiversity data using different kinds of information technological structures. The facility guarantees a sustainable curation, storage, archiving and provision of such data.
The Bavarian Natural History Collections (Staatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB) are a research institution for natural history in Bavaria. They encompass five State Collections (zoology, botany, paleontology and geology, mineralogy, anthropology and paleoanatomy), the Botanical Garden Munich-Nymphenburg and eight museums with public exhibitions in Munich, Bamberg, Bayreuth, Eichstätt and Nördlingen. Our research focuses mainly on the past and present bio- and geodiversity and the evolution of animals and plants. To achieve this we have large scientific collections (almost 35,000,000 specimens), see "joint projects".
SACA&D is developed as part of the Digitisasi Data Historis (Didah) project. This project is focusing on the digitization and use of high-resolution historical climate data from Indonesia and other Southeast Asian countries
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DARTS primarily archives high-level data products obtained by JAXA's space science missions in astrophysics (X-rays, radio, infrared), solar physics, solar-terrestrial physics, and lunar and planetary science. In addition, we archive related space science data products obtained by other domestic or foreign institutes, and provide data services to facilitate use of these data.
MorphoBank is a web application with tools and archives for evolutionary research, specifically systematics (the science of determining the evolutionary relationships among species). Study of the phenotype, which is often visually-based, is central to contemporary systematics and taxonomic research. MorphoBank was developed specifically to provide much needed tools for the expansion and modernization of phylogenetic work on the phenotype
CDAAC is responsible for processing the science data received from COSMIC. This data is currently being processed not long after the data is received, i.e. approximately eighty percent of radio occultation profiles are delivered to operational weather centers within 3 hours of observation as well as in a more accurate post-processed mode (within 8 weeks of observation).
The Keck Observatory Archive (KOA)is a collaboration between the NASA Exoplanet Science Institute (NExScI) and the W. M. Keck Observatory (WMKO). This collaboration is founded by the NASA. KOA has been archiving data from the High Resolution Echelle Spectrograph (HIRES) since August 2004 and data acquired with the Near InfraRed echelle SPECtrograph (NIRSPEC) since May 2010. The archived data extend back to 1994 for HIRES and 1999 for NIRSPEC. The W. M. Keck Observatory Archive (KOA) ingests and curates data from the following instruments: DEIMOS, ESI, HIRES, KI, LRIS, MOSFIRE, NIRC2, and NIRSPEC.
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Edmond is the institutional repository of the Max Planck Society for public research data. It enables Max Planck scientists to create citable scientific assets by describing, enriching, sharing, exposing, linking, publishing and archiving research data of all kinds. Further on, all objects within Edmond have a unique identifier and therefore can be clearly referenced in publications or reused in other contexts.
On February 24, 2000, Terra began collecting what will ultimately become a new, 15-year global data set on which to base scientific investigations about our complex home planet. Together with the entire fleet of EOS spacecraft, Terra is helping scientists unravel the mysteries of climate and environmental change. TERRA's data collection instruments include: Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Clouds and the Earth's Radiant Energy System (CERES), Multi-angle Imaging Spectro-Radiometer (MISR), Moderate-resolution Imaging Spectroradiometer (MODIS), Measurement of Pollution in the Troposphere (MOPITT)
DEIMS-SDR (Dynamic Ecological Information Management System - Site and dataset registry) is an information management system that allows you to discover long-term ecosystem research sites around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR describes a wide range of sites, providing a wealth of information, including each site’s location, ecosystems, facilities, parameters measured and research themes. It is also possible to access a growing number of datasets and data products associated with the sites. All sites and dataset records can be referenced using unique identifiers that are generated by DEIMS-SDR. It is possible to search for sites via keyword, predefined filters or a map search. By including accurate, up to date information in DEIMS, site managers benefit from greater visibility for their LTER site, LTSER platform and datasets, which can help attract funding to support site investments. The aim of DEIMS-SDR is to be the globally most comprehensive catalogue of environmental research and monitoring facilities, featuring foremost but not exclusively information about all LTER sites on the globe and providing that information to science, politics and the public in general.
The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.
The Space Physics Data Facility (SPDF) leads in the design and implementation of unique multi-mission and multi-disciplinary data services and software to strategically advance NASA's solar-terrestrial program, to extend our science understanding of the structure, physics and dynamics of the Heliosphere of our Sun and to support the science missions of NASA's Heliophysics Great Observatory. Major SPDF efforts include multi-mission data services such as Heliophysics Data Portal (formerly VSPO), CDAWeb and CDAWeb Inside IDL,and OMNIWeb Plus (including COHOWeb, ATMOWeb, HelioWeb and CGM) , science planning and orbit services such as SSCWeb, data tools such as the CDF software and tools, and a range of other science and technology research efforts. The staff supporting SPDF includes scientists and information technology experts.
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GEOMAR Helmholtz Centre for Ocean Research Kiel is one of the leading marine science institutions in Europe. GEOMAR investigates the chemical, physical, biological, and geological processes in the oceans, as well as their interactions with the seafloor and the atmosphere. OceanRep is an open access digital collection containing the research output of GEOMAR staff and students. Included are journal articles, conference papers, book chapters, theses and more, - with fulltext, if available. Research data are linked to the publications entries.
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B2SHARE allows publishing research data and belonging metadata. It supports different research communities with specific metadata schemas. This server is provided for researchers of the Research Centre Juelich and related communities.
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DataverseNO is a curated, FAIR-aligned national generic repository for open research data from all academic disciplines. DataverseNO commits to facilitate that published data remain accessible and (re)usable in a long-term perspective. The repository is owned and operated by UiT The Arctic University of Norway. DataverseNO accepts submissions from researchers primarily from Norwegian research institutions. Datasets in DataverseNO are grouped into institutional collections as well as special collections. The technical infrastructure of the repository is based on the open source application Dataverse (https://dataverse.org), which is developed by an international developer and user community led by Harvard University.
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<<<!!!<<< This repository is no longer available >>>!!!>>> Go-Geo is an online resource discovery tool which allows for the identification and retrieval of records describing the content, quality, condition and other characteristics of geospatial data that exist with UK tertiary education and beyond. The portal supports geospatial searching by interactive map, grid co-ordinates and place name, as well as the more traditional topic or keyword forms of searching. The portal is a key component of the UK academic Spatial Data Infrastructure.
The Clouds and the Earth’s Radiant Energy System (CERES) is a key component of the Earth Observing System (EOS) program. CERES instruments provide radiometric measurements of the Earth’s atmosphere from three broadband channels. CERES products include both solar-reflected and Earth-emitted radiation from the top of the atmosphere to the Earth's surface.
The NSF-supported Program serves the international scientific community through research, infrastructure, data, and models. We focus on how components of the Critical Zone interact, shape Earth's surface, and support life. ARCHIVED CONTENT: In December 2020, the CZO program was succeeded by the Critical Zone Collaborative Network (CZ Net) https://criticalzone.org/
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CCCma has developed a number of climate models. These are used to study climate change and variability, and to understand the various processes which govern the climate system. They are also used to make quantitative projections of future long-term climate change (given various greenhouse gas and aerosol forcing scenarios), and increasingly to make initialized climate predictions on time scales ranging from seasons to decades. A brief description of these models and their corresponding references can be found: https://www.canada.ca/en/environment-climate-change/services/climate-change/science-research-data/modeling-projections-analysis/centre-modelling-analysis/models.html
NKN is now Research Computing and Data Services (RCDS)! We provide data management support for UI researchers and their regional, national, and international collaborators. This support keeps researchers at the cutting-edge of science and increases our institution's competitiveness for external research grants. Quality data and metadata developed in research projects and curated by RCDS (formerly NKN) is a valuable, long-term asset upon which to develop and build new research and science.