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Found 117 result(s)
SCEC's mission includes gathering data on earthquakes, both in Southern California and other locales; integrate the information into a comprehensive understanding of earthquake phenomena; and communicate useful knowledge for reducing earthquake risk to society at large. The SCEC community consists of more than 600 scientists from 16 core institutions and 47 additional participating institutions. SCEC is funded by the National Science Foundation and the U.S. Geological Survey.
The tree of life links all biodiversity through a shared evolutionary history. This project will produce the first online, comprehensive first-draft tree of all 1.8 million named species, accessible to both the public and scientific communities. Assembly of the tree will incorporate previously-published results, with strong collaborations between computational and empirical biologists to develop, test and improve methods of data synthesis. This initial tree of life will not be static; instead, we will develop tools for scientists to update and revise the tree as new data come in. Early release of the tree and tools will motivate data sharing and facilitate ongoing synthesis of knowledge.
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The RAMEDIS system is a platform independent, web-based information system for rare metabolic diseases based on filed case reports. It was developed in close cooperation with clinical partners to allow them to collect information on rare metabolic diseases with extensive details, e.g. about occurring symptoms, laboratory findings, therapy and molecular data.
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The JenAge Ageing Factor Database AgeFactDB is aimed at the collection and integration of ageing phenotype and lifespan data. Ageing factors are genes, chemical compounds or other factors such as dietary restriction, for example. In a first step ageing-related data are primarily taken from existing databases. In addition, new ageing-related information is included both by manual and automatic information extraction from the scientific literature. Based on a homology analysis, AgeFactDB also includes genes that are homologous to known ageing-related genes. These homologs are considered as candidate or putative ageing-related genes.
>>>!!!<<< 2019-01: Global Land Cover Facility goes offline see https://spatialreserves.wordpress.com/2019/01/07/global-land-cover-facility-goes-offline/ ; no more access to http://www.landcover.org >>>!!!<<< The Global Land Cover Facility (GLCF) provides earth science data and products to help everyone to better understand global environmental systems. In particular, the GLCF develops and distributes remotely sensed satellite data and products that explain land cover from the local to global scales.
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This database host for fungi data related to new classification with morphology, molecular and other important data. This fungal database allows deposition of taxonomic data, phenotypic details and other useful data, which will enhance our current taxonomic understanding and ultimately enable mycologists to gain better and updated insights into the current fungal classification system. In addition, the database will also allow access to comprehensive metadata including descriptions of voucher and type specimens.
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Loyalist Migrations is a partnership between the United Empire Loyalist Association of Canada (UELAC), Huron University College’s Community History Centre, and Western Libraries’ Map and Data Centre. Our researchers use the genealogical records of the UELAC as well as other archival sources to reconstruct the migrations of thousands of exiles, refugees, economic migrants, settlers, and soldiers from all walks of life who fled the American Revolution. Not all migrants called themselves Loyalists and it is not the intention of this project to ascribe political motivations for their journeys. The migrations included a diverse array of settlers, Indigenous people, and African Americans who embarked on their journeys, willingly or forced, in search of safety and security in lands claimed by the British Empire.
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Chinese Virtual Herbarium is online access to herbarium specimens and botanical information in China.
The EUROLAS Data Center (EDC) is one of the two data centers of the International Laser Ranging Service (ILRS). It collects, archives and distributes tracking data, predictions and other tracking relevant information from the global SLR network. Additionally EDC holds a mirror of the official Web-Pages of the ILRS at Goddard Space Flight Center (GSFC). And as result of the activities of the Analysis Working Group (AWG) of the ILRS, DGFI has been selected as analysis centers (AC) and as backup combination center (CC). This task includes weekly processing of SLR observations to LAGEOS-1/2 and ETALON-1/2 to compute station coordinates and earth orientation parameters. Additionally the combination of SLR solutions from the various analysis centres to a combinerd ILRS SLR solution.
The Objectively Analyzed air-sea Fluxes (OAFlux) project is a research and development project focusing on global air-sea heat, moisture, and momentum fluxes. The project is committed to produce high-quality, long-term, global ocean surface forcing datasets from the late 1950s to the present to serve the needs of the ocean and climate communities on the characterization, attribution, modeling, and understanding of variability and long-term change in the atmosphere and the oceans.
AmoebaDB belongs to the EuPathDB family of databases and is an integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. In its first iteration (released in early 2010), AmoebaDB contains the genomes of three Entamoeba species (see below). AmoebaDB integrates whole genome sequence and annotation and will rapidly expand to include experimental data and environmental isolate sequences provided by community researchers . The database includes supplemental bioinformatics analyses and a web interface for data-mining.
RAVE (RAdial Velocity Experiment) is a multi-fiber spectroscopic astronomical survey of stars in the Milky Way using the 1.2-m UK Schmidt Telescope of the Anglo-Australian Observatory (AAO). The RAVE collaboration consists of researchers from over 20 institutions around the world and is coordinated by the Leibniz-Institut für Astrophysik Potsdam. As a southern hemisphere survey covering 20,000 square degrees of the sky, RAVE's primary aim is to derive the radial velocity of stars from the observed spectra. Additional information is also derived such as effective temperature, surface gravity, metallicity, photometric parallax and elemental abundance data for the stars. The survey represents a giant leap forward in our understanding of our own Milky Way galaxy; with RAVE's vast stellar kinematic database the structure, formation and evolution of our Galaxy can be studied.
METLIN represents the largest MS/MS collection of data with the database generated at multiple collision energies and in positive and negative ionization modes. The data is generated on multiple instrument types including SCIEX, Agilent, Bruker and Waters QTOF mass spectrometers.
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Avibase is an extensive database information system about all birds of the world, containing over 60 million records about 10,000 species and 22,000 subspecies of birds, including distribution information, taxonomy, synonyms in several languages and more. This site is managed by Denis Lepage and hosted by Bird Studies Canada, the Canadian copartner of Birdlife International. Avibase has been a work in progress since 1992 and I am now pleased to offer it as a service to the bird-watching and scientific community.
The Endangered Languages Archive (ELAR) is a digital repository for preserving multimedia collections of endangered languages from all over the world, making them available for future generations. In ELAR’s collections you can find recordings of every-day conversations, instructions on how to build fish traps or boats, explanations of kinship systems and the use of medicinal plants, and learn about art forms like string figures and sand drawings. ELAR’s collections are unique records of local knowledge systems encoded in their languages, described by the holders of the knowledge themselves.
Archiving data and housing geological collections is an important role the Bureau of Geology plays in improving our understanding of the geology of New Mexico. Aside from our numerous publications, several datasets are available to the public. Data in this repository supplements published papers in our publications. Please refer to both the published material and the repository documentation before using this data. Please cite repository data as shown in each repository listing.
Climate Data Record (CDR) is a time series of measurements of sufficient length, consistency and continuity to determine climate variability and change. The fundamental CDRs include sensor data, such as calibrated radiances and brightness temperatures, that scientists have improved and quality-controlled along with the data used to calibrate them. The thematic CDRs include geophysical variables derived from the fundamental CDRs, such as sea surface temperature and sea ice concentration, and they are specific to various disciplines.
Here you find our web GIS. It was developed in close cooperation with the Institute for Geoinformatics of the WWU Münster. Here, the raw data of the survey project “Wadi Abu Dom Itinerary” are presented to the public. At the moment, this presentation platform is shared with the research project “Doliche” of the research center Asia Minor at the WWU Münster. In future, the integration of other research projects is planned.
The Mikulski Archive for Space Telescopes (MAST) is a NASA funded project to support and provide to the astronomical community a variety of astronomical data archives, with the primary focus on scientifically related data sets in the optical, ultraviolet, and near-infrared parts of the spectrum. MAST is located at the Space Telescope Science Institute (STScI).
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The Portal is intended to be used as catalog of datasets published by ministries/ department/ organizations of Government of India for public use, in order to enhance transparency in the functioning of the Government as well as to make innovative visualization of dataset. This National Data Portal is being updated frequently to make it as accessible as possible and completely accessible to all irrespective of physical challenges or technology.
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HALO-DB is the web platform of a data retrieval and long-term archive system. The system was established to hold and to manage a wide range of data based on observations of the HALO research aircraft and data which are related to HALO observations. HALO (High-Altitude and LOng-range aircraft) is the new German research aircraft (German Science Community (DFG)). The aircraft, a Gulfstream GV-550 Business-Jet, is strongly modified for the application as a research platform. HALO offers several advantages for scientific campaigns, such as its high range of more than 10000 km, a high maximum altitude of more than 15 km, as well as a relatively high payload.
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The information system Graffiti in Germany (INGRID) is a cooperation project between the linguistics department at the University of Paderborn and the art history department at the Karlsruhe Institute of Technology (KIT). As part of the joint project, graffiti image collections will be compiled, stored in an image database and made available for scientific use. At present, more than 100,000 graffiti from the years 1983 to 2018 from major German cities are recorded, including Cologne, Mannheim and Munich.
The Perovskite Database Project aims at making all perovskite device data, both past and future, available in a form adherent to the FAIR data principles, i.e. findable, accessible, interoperable, and reusable.
This database serves forest tree scientists by providing online access to hardwood tree genomic and genetic data, including assembled reference genomes, transcriptomes, and genetic mapping information. The web site also provides access to tools for mining and visualization of these data sets, including BLAST for comparing sequences, Jbrowse for browsing genomes, Apollo for community annotation and Expression Analysis to build gene expression heatmaps.