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Found 677 result(s)
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.
The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for international co-operation to solve transboundary air pollution problems.
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UQ eSpace is the single authoritative source for the research outputs of the staff and students of the University of Queensland and is the archival home of UQ Research Higher Degree digital theses. UQ eSpace raises the visibility and accessibility of UQ publications to the wider world and provides data for mandatory Government reporting requirements such as the Higher Education Research Data Collection (HERDC) and Excellence in Research for Australia (ERA) as well as for the internal UQ systems such as the Q-Index. It also operates as an institutional repository for open access publications, research datasets and other digitised materials created by staff of the University such as print materials, photographs, audio materials, videos, manuscripts and other original works.
<<<!!!<<< CRAWDAD has moved to IEEE-Dataport https://www.re3data.org/repository/r3d100012569 The datasets in the Community Resource for Archiving Wireless Data at Dartmouth (CRAWDAD) repository are now hosted as the CRAWDAD Collection on IEEE Dataport. After nearly two decades as a stand-alone archive at crawdad.org, the migration of the collection to IEEE DataPort provides permanence and new visibility. >>>!!!>>>
This Animal Quantitative Trait Loci (QTL) database (Animal QTLdb) is designed to house all publicly available QTL and trait mapping data (i.e. trait and genome location association data; collectively called "QTL data" on this site) on livestock animal species for easily locating and making comparisons within and between species. New database tools are continuely added to align the QTL and association data to other types of genome information, such as annotated genes, RH / SNP markers, and human genome maps. Besides the QTL data from species listed below, the QTLdb is open to house QTL/association date from other animal species where feasible. Note that the JAS along with other journals, now require that new QTL/association data be entered into a QTL database as part of their publication requirements.
The Plant Metabolic Network (PMN) provides a broad network of plant metabolic pathway databases that contain curated information from the literature and computational analyses about the genes, enzymes, compounds, reactions, and pathways involved in primary and secondary metabolism in plants. The PMN currently houses one multi-species reference database called PlantCyc and 22 species/taxon-specific databases.
CLARIN is a European Research Infrastructure for the Humanities and Social Sciences, focusing on language resources (data and tools). It is being implemented and constantly improved at leading institutions in a large and growing number of European countries, aiming at improving Europe's multi-linguality competence. CLARIN provides several services, such as access to language data and tools to analyze data, and offers to deposit research data, as well as direct access to knowledge about relevant topics in relation to (research on and with) language resources. The main tool is the 'Virtual Language Observatory' providing metadata and access to the different national CLARIN centers and their data.
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With ARS - Antimicrobial Resistance Surveillance in Germany - the infrastructure for a nationwide surveillance of antimicrobial resistance has been established, which covers both the inpatient medical care and the ambulatory care sector. This is intended to reliable data on the epidemiology of antimicrobial resistance in Germany and differential statements provided by structural features of the health care and by region are possible. ARS is designed as a laboratory-based surveillance system for continuous collection of resistance data from routine for the full range of clinically relevant bacterial pathogens. Project participants and thus data suppliers are laboratories that analyze samples of medical facilities and doctors' offices microbiologically.
The PAIN Repository is a recently funded NIH initiative, which has two components: an archive for already collected imaging data (Archived Repository), and a repository for structural and functional brain images and metadata acquired prospectively using standardized acquisition parameters (Standardized Repository) in healthy control subjects and patients with different types of chronic pain. The PAIN Repository provides the infrastructure for storage of standardized resting state functional, diffusion tensor imaging and structural brain imaging data and associated biological, physiological and behavioral metadata from multiple scanning sites, and provides tools to facilitate analysis of the resulting comprehensive data sets.
The Site Survey Data Bank (SSDB) is a repository for site survey data submitted in support of International Ocean Discovery Program (IODP) proposals and expeditions. SSDB serves different roles for different sets of users.
ICOS Carbon Portal is the data portal of the Integrated Carbon Observation System. It provides observational data from the state of the carbon cycle in Europe and the world. The Carbon Portal is the data center of the ICOS infrastructure. ICOS will collect greenhouse gas concentration and fluxes observations from three separate networks, all these observations are carried out to support research to help us understand how the Earth’s greenhouse gas balance works, because there are still many and large uncertainties!
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Global Change Research Data Publishing and Repository (GCdataPR) is an open data infrastructure on earth science, particular on the global environmental changes. The GCdataPR’ management policies following the international common understanding to the data sharing principles and guidelines is the key to make the qualified data publishing and sharing smoothly and successfully. The data management policies including dataset submission for publishing policy, peer review policy data quality control policy data long-term preservation policy, data sharing policy, 10% rule for identify original dataset policy, claim discovery with both data and paper policy, and data service statistics policy.
Data deposit is supported for University of Ottawa faculty, students, and affiliated researchers. The repository is multidisciplinary and hosted on Canadian servers. It includes features such as permanent links (DOIs) which encourage citation of your dataset and help you set terms for access and reuse of your data. uOttawa Dataverse is currently optimal for small to medium datasets.
Dataverse to host followup observations of galaxy clusters identified in South Pole Telescope SZ Surveys. This includes: 1) GMOS spectroscopy of low to moderate redshift galaxy clusters taken as a part of NOAO Large Survey Program 11A-0034 (PI: Christopher Stubbs).
The USGS currently houses the institute at the Center for Earth Resources Observation and Science (EROS) in Sioux Falls, South Dakota. The LCI will address land cover topics from local to global scales, and in both domestic and international settings. The USGS through the Land Cover Institute serves as a facilitator for land cover and land use science, applications, and production functions. The institute assists in the availability and technical support of land cover data sets through increasing public and scientific awareness of the importance of land cover science. LCI continues, after the reorganization of the World Data Centers in 2009, serving as the World Data Center (WDC) for land cover data for access to, or information about, land cover data of the world
The Magnetics Information Consortium (MagIC) improves research capacity in the Earth and Ocean sciences by maintaining an open community digital data archive for rock magnetic, geomagnetic, archeomagnetic (archaeomagnetic) and paleomagnetic (palaeomagnetic) data. Different parts of the website allow users access to archive, search, visualize, and download these data. MagIC supports the international rock magnetism, geomagnetism, archeomagnetism (archaeomagnetism), and paleomagnetism (palaeomagnetism) research and endeavors to bring data out of private archives, making them accessible to all and (re-)useable for new, creative, collaborative scientific and educational activities. The data in MagIC is used for many types of studies including tectonic plate reconstructions, geomagnetic field models, paleomagnetic field reversal studies, magnetohydrodynamical studies of the Earth's core, magnetostratigraphy, and archeology. MagIC is a domain-specific data repository and directed by PIs who are both producers and consumers of rock, geo, and paleomagnetic data. Funded by NSF since 2003, MagIC forms a major part of https://earthref.org which integrates four independent cyber-initiatives rooted in various parts of the Earth, Ocean and Life sciences and education.
The IMSR is a searchable online database of mouse strains, stocks, and mutant ES cell lines available worldwide, including inbred, mutant, and genetically engineered strains. The goal of the IMSR is to assist the international scientific community in locating and obtaining mouse resources for research. Note that the data content found in the IMSR is as supplied by strain repository holders. For each strain or cell line listed in the IMSR, users can obtain information about: Where that resource is available (Repository Site); What state(s) the resource is available as (e.g. live, cryopreserved embryo or germplasm, ES cells); Links to descriptive information about a strain or ES cell line; Links to mutant alleles carried by a strain or ES cell line; Links for ordering a strain or ES cell line from a Repository; Links for contacting the Repository to send a query
The Expression Atlas provides information on gene expression patterns under different biological conditions such as a gene knock out, a plant treated with a compound, or in a particular organism part or cell. It includes both microarray and RNA-seq data. The data is re-analysed in-house to detect interesting expression patterns under the conditions of the original experiment. There are two components to the Expression Atlas, the Baseline Atlas and the Differential Atlas. The Baseline Atlas displays information about which gene products are present (and at what abundance) in "normal" conditions (e.g. tissue, cell type). It aims to answer questions such as "which genes are specifically expressed in human kidney?". This component of the Expression Atlas consists of highly-curated and quality-checked RNA-seq experiments from ArrayExpress. It has data for many different animal and plant species. New experiments are added as they become available. The Differential Atlas allows users to identify genes that are up- or down-regulated in a wide variety of different experimental conditions such as yeast mutants, cadmium treated plants, cystic fibrosis or the effect on gene expression of mind-body practice. Both microarray and RNA-seq experiments are included in the Differential Atlas. Experiments are selected from ArrayExpress and groups of samples are manually identified for comparison e.g. those with wild type genotype compared to those with a gene knock out. Each experiment is processed through our in-house differential expression statistical analysis pipeline to identify genes with a high probability of differential expression.
The ACSS Dataverse is a repository of interdisciplinary social science research data produced in and on the Arab region. The ACSS Dataverse, part of an initiative of the Arab Council for the Social Sciences in collaboration with the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill, preserves and facilitates access to social science datasets in and on the Arab region and is open to relevant research data deposits.
<<<!!!<<< The RDP website is no longer available. A stand-alone version of the RDP Classifier is available on Sorceforge https://sourceforge.net/projects/rdp-classifier/. Instructions for installing a command-line version of RDP Tools can be found at Dr. J.Quensen's Website https://john-quensen.com/tutorials/tutorial-1/ and https://jfq3.gitbook.io/rdptools-docker/rdptools-docker/readme. >>>!!!>>>
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The University of Chile Research Data Repository preserves, disseminates and provides access to the research data generated by its academics and researchers, in order to give visibility, guarantee its preservation and facilitate its access and reuse.
JASPAR is the leading open-access database of matrix profiles describing the DNA-binding patterns of transcription factors and other proteins interacting with DNA in a sequence-specific manner.