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Found 197 result(s)
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As the national oceanographic data centre for Canada, MEDS maintains centralized repositories of some oceanographic data types collected in Canada, and coordinates data exchanges between DFO and recognized intergovernmental organizations, as well as acts as a central point for oceanographic data requests. Real-time, near real-time (for operational oceanography) or historical data are made available as appropriate.
Brain Image Library (BIL) is an NIH-funded public resource serving the neuroscience community by providing a persistent centralized repository for brain microscopy data. Data scope of the BIL archive includes whole brain microscopy image datasets and their accompanying secondary data such as neuron morphologies, targeted microscope-enabled experiments including connectivity between cells and spatial transcriptomics, and other historical collections of value to the community. The BIL Analysis Ecosystem provides an integrated computational and visualization system to explore, visualize, and access BIL data without having to download it.
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ICES is an intergovernmental organization whose main objective is to increase the scientific knowledge of the marine environment and its living resources and to use this knowledge to provide unbiased, non-political advice to competent authorities.
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The Freshwater Research and Environmental Database is the central data repository for IGB. It is where we store and share environmental data from observations of lakes, rivers, peatlands and other freshwater habitats. In FRED you can find continuous data collected over several decades from our long-term research programme at the lakes Müggelsee, Stechlinsee, Arendsee and the river Spree, as well as environmental data derived from short-term projects in aquatic ecosystems. All data include detailed metadata descriptions in text form to allow reuse of the data. The database can be searched for a range of aspects, such as ecosystem types or abiotic and biotic variables. Data use, where not freely accessible, shall be granted after consulting with the contact person given in the database, and is subject to the IGB Data Policy.
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The Marine Data Portal is a product of the “Underway”- Data initiative of the German Marine Research Alliance (Deutsche Allianz Meeresforschung - DAM) and is supported by the marine science centers AWI, GEOMAR and Hereon of the Helmholtz Association. This initiative aims to improve and standardize the systematic data collection and data evaluation for expeditions with German research vessels and marine observation. It supports scientists in their data management duties and fosters (data) science through FAIR and open access to marine research data. AWI, GEOMAR and Hereon develop this marine data hub (Marehub) to build a decentralized data infrastructure for processing, long-term archiving and dissemination of marine observation and model data and data products. The Marine Data Portal provides user-friendly, centralized access to marine research data, reports and publications from a wide range of data repositories and libraries in the context of German marine research and its international collaboration. The Marine Data Portal is developed by scientists for scientists in order to facilitate Findability and Access of marine research data for Reuse. It supports machine-readable and data driven science. Please note that the quality of the data may vary depending on the purpose for which it was originally collected.
VegBank is the vegetation plot database of the Ecological Society of America's Panel on Vegetation Classification. VegBank consists of three linked databases that contain the actual plot records, vegetation types recognized in the U.S. National Vegetation Classification and other vegetation types submitted by users, and all plant taxa recognized by ITIS/USDA as well as all other plant taxa recorded in plot records. Vegetation records, community types and plant taxa may be submitted to VegBank and may be subsequently searched, viewed, annotated, revised, interpreted, downloaded, and cited. VegBank receives its data from the VegBank community of users.
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The Norwegian Marine Data Centre (NMD) at the Institute of Marine Research was established as a national data centre dedicated to the professional processing and long-term storage of marine environmental and fisheries data and production of data products. The Institute of Marine Research continuously collects large amounts of data from all Norwegian seas. Data are collected using vessels, observation buoys, manual measurements, gliders – amongst others. NMD maintains the largest collection of marine environmental and fisheries data in Norway.
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Agri-environmental Research Data collection is part of the University of Guelph Research Data Repositories (University of Guelph Dataverse). The purpose of this collection is to provide access to, and long-term stewardship of, agricultural and environmental data created at or in cooperation with the University of Guelph.
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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.
In its 10-year tenure, NCED has made major contributions to the growth of Earth-Surface Dynamics (ESD) through direct research in three Integrated Programs (IP) of Streams, Watersheds and Deltas. These contributions include: Establishment of experimental geomorphology and stratigraphy as a major source of insight in ESD, Integration of quantitative methods from engineering, physics, and applied math into ESD, Advances in the coupling of life, especially vegetation, and landscape dynamics, Integration of a variety of novel methods from stochastic hydrology, including nonlocal transport and multifractal spatial signatures, into ESD, Advances in providing the scientific basis for restoring streams, and Integration of subsurface structure and stratigraphic records into understanding present-day delta dynamics. All data created or compiled by NCED-funded scientists is archived here.
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data.eaufrance.fr is an information system on water (EIS); it is registered in the National Plan for Water Data (NELS) and will be integrated into the data dissemination web pattern. It also complies with the European Directive 2003/98 / EC of November 2003 on the reuse of public sector information. data.eaufrance.fr is a public data distribution platform open for reuse in the terms and conditions of the Licence Open / Open License. Opendata SIE is coordinated by the National Office for Water and Aquatic Environments (Onema); it was developed by the BRGM and the International Office for Water (IOW).
AlgaeBase is a database of information on algae that includes terrestrial, marine and freshwater organisms. At present, the data for the marine algae, particularly seaweeds, are the most complete.
The GRSF, the Global Record of Stocks and Fisheries, integrates data from three authoritative sources: FIRMS (Fisheries and Resources Monitoring System), RAM (RAM Legacy Stock Assessment Database) and FishSource (Program of the Sustainable Fisheries Partnership). The GRSF content publicly disseminated through this catalogue is distributed as a beta version to test the logic to generate unique identifiers for stocks and fisheries. The access to and review of collated stock and fishery data is restricted to selected users. This beta release can contain errors and we welcome feedback on content and software performance, as well as the overall usability. Beta users are advised that information on this site is provided on an "as is" and "as available" basis. The accuracy, completeness or authenticity of the information on the GRSF catalogue is not guaranteed. It is reserved the right to alter, limit or discontinue any part of this service at its discretion. Under no circumstances shall the GRSF be liable for any loss, damage, liability or expense suffered that is claimed to result from the use of information posted on this site, including without limitation, any fault, error, omission, interruption or delay. The GRSF is an active database, updates and additions will continue after the beta release. For further information, or for using the GRSF unique identifiers as a beta tester please contact FIRMS-Secretariat@fao.org.
The U.S. Antarctic Program Data Center (USAP-DC) provides the central Project Catalog for projects funded by the NSF for the U.S. Antarctic Program and Data Repository for multi-disciplinary investigator research datasets derived from these projects. Services provided support investigators in documenting, preserving, and disseminating their research results. All data are openly accessible to the international community for browse, search, and data download. Datasets are registered in the Antarctic Master Directory to comply with the Antarctic Treaty.
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The Institute of Ocean Sciences (IOS)/Ocean Sciences Division (OSD) data archive contains the holdings of oceanographic data generated by the IOS and other agencies and laboratories, including the Institute of Oceanography at the University of British Columbia and the Pacific Biological Station. The contents include data from B.C. coastal waters and inlets, B.C. continental shelf waters, open ocean North Pacific waters, Beaufort Sea and the Arctic Archipelago.
OpenML is an open ecosystem for machine learning. By organizing all resources and results online, research becomes more efficient, useful and fun. OpenML is a platform to share detailed experimental results with the community at large and organize them for future reuse. Moreover, it will be directly integrated in today’s most popular data mining tools (for now: R, KNIME, RapidMiner and WEKA). Such an easy and free exchange of experiments has tremendous potential to speed up machine learning research, to engender larger, more detailed studies and to offer accurate advice to practitioners. Finally, it will also be a valuable resource for education in machine learning and data mining.
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The UniSC Research Bank is the institutional research repository for the University of the Sunshine Coast. It provides an open access showcase of the University's scholarly research output ensuring that research is made available to the local, national and international communities. UniSC Research Bank is harvested by search engines, and is also indexed by the National Library of Australia's TROVE. By making research easily accessible, it also facilitates collaboration between researchers. Where possible, access to the full text of the publication is made available, in line with copyright permissions for each output. To access relevant research, use the Browse function, or specific records can be searched for by using the search box. Find research data by filtering by resource type 'Research Dataset'.
OceanSITES is a worldwide system of long-term, deepwater reference stations measuring dozens of variables and monitoring the full depth of the ocean from air-sea interactions down to 5,000 meters. Since 1999, the international OceanSITES science team has shared both data and costs in order to capitalize on the enormous potential of these moorings. The growing network now consists of about 30 surface and 30 subsurface arrays. Satellite telemetry enables near real-time access to OceanSITES data by scientists and the public. OceanSITES moorings are an integral part of the Global Ocean Observing System. They complement satellite imagery and ARGO float data by adding the dimensions of time and depth.
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Ocean Tracking Network (OTN) deploys Canadian, state of the art acoustic receivers and oceanographic monitoring equipment in key ocean locations. These are being used to document the movements and survival of marine animals carrying acoustic tags and to document how both are influenced by oceanographic conditions.
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The Large Fire Database (LFDB) is a compilation of forest fire data from all Canadian agencies, including provinces, territories, and Parks Canada. The data set includes only fires greater than 200 hectares in final size; these represent only a few percent of all fires but account for most of the area burned (usually more than 97%). Therefore, the LFDB can be used for spatial and temporal analyses of landscape-scale fire impacts. For information on smaller fires (up to 200 ha in final size), please contact individual fire agencies. Links to other agencies can be found through the Canadian Interagency Forest Fire Centre (CIFFC).
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Thai National Research Repository (TNRR) is a central database of science, research, and innovation of Thailand managed by the National Research Council of Thailand (NRCT) under the Ministry of Higher Education, Science, Research and Innovation (MHESI) Act B.E. 2562 (2019). The TNRR system serves and disseminates an extensive collection of information to the public as open access to research and innovation knowledge. The goal is to be the system that provides information services on Thailand's research findings. This information is collected from academic institutes and information-oriented government agencies in Thailand. In other words, the data in the TNRR system is accumulated from 3 national databases including 1. National Research Innovation and Information System (NRIIS), 2. Research agencies within Thailand’s research and innovation ecosystem that have agreed to share their data; including research projects, research results, bodies of knowledge, theses, as well as various inventions and innovations; and 3. Other related databases of agencies that have shared their data for audit purposes and to improve the operation of the central database, such as the Department of Provincial Administration, the Department of Intellectual Property, and the Department of Business Development, etc. Thai National Research Repository (TNRR) also provides open data of research findings via API which can be accessed at https://tnrr.nriis.go.th/#/service/opendata and https://opendata.nrct.go.th/en/
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The Coriolis Data Centre handles operational oceanography measurements made in situ, complementing the measurement of the ocean surface made using instruments aboard satellites. This work is realised through the establishment of permanent networks with data collected by ships or autonomous systems that are either fixed or drifting. This data can be used to construct a snapshot of water mass structure and current intensity.
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ARAMOB is a German project aiming at consolidating and mobilising data from systematic studies on the ecology of spiders in Germany through this online portal. The underlying data management is done with the modularized database system Diversity Workbench. This framework was enhanced as a virtual research environment for arachnology by including lists, thesaury and trans-modular functions and tools helpful for data management in studies of spider taxonomy and ecology. The ARAMOB database will serve as repository for ecological data on spiders from Germany, provided by the Arachnologische Gesellschaft (AraGes) in the sense of the German Federation for Biological Data (GFBio). Through the portal or direct use of the database with Diversity Workbench data will be available to members of the AraGes for ecological analyses of spider species and assemblages, e.g. occurence and distribution, phenology, habitat preferences, ecological preferences, indication of habitat quality, a.o.