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Found 607 result(s)
4TU.ResearchData, previously known as 4TU.Centre for Research Data, is a research data repository dedicated to the science, engineering and design disciplines. It offers the knowledge, experience and the tools to manage, publish and find scientific research data in a standardized, secure and well-documented manner. 4TU.ResearchData provides the research community with: Customised advice and support on research data management; A long-term repository for scientific research data; Support for current research projects; Tools to enhance reuse of research data.
The Abacus Data Network is a data repository collaboration involving Libraries at Simon Fraser University (SFU), the University of British Columbia (UBC), the University of Northern British Columbia (UNBC) and the University of Victoria (UVic).
The MGDS Academic Seismic Portal at Lamont-Doherty Earth Observatory (ASP-LDEO), now part of the IEDA Data Facility, was initiated in 2003 to preserve and provide open access to multi-channel seismic (MCS) and single channel seismic (SCS) field data collected for academic research supported by the US National Science Foundation. Multi-channel data are primarily from the marine seismic vessels operated by Lamont-Doherty Earth Observatory of Columbia University. Modern single channel seismic data from other vessels including the R/V Palmer and USCG Healy, as well as data from portable seismic systems, are also served. The development of the Academic Seismic Portal has focused on the need to recover high value MCS data from older surveys as well as to establish sustainable procedures for preservation of data from modern programs. During the final two years of R/V Ewing operations, procedures were established for routine transfer of MCS data along with navigation and acquisition parameters, and other needed documentation to the ASP. Transfer of seismic data and acquisition information is now routine for the National Marine Seismic Facility, the R/V Marcus G. Langseth, which began science operations in February 2008. Data are documented and incorporated into the data system with full access restrictions protecting the scientists' rights to exclusive access during the proprietary hold period. Submission of data to the ASP helps ensure that NSF requirements for data sharing as outlined in the NSF OCE Data Policy are satisfied. Data from the Academic Seismic Portal at UTIG has been migrated to LDEO. As we continue to verify the accuracy and completeness of this data, there may be temporary issues with some seismic metadata and web services.
>>>!!!<<< On June 1, 2020, the Academic Seismic Portal repositories at UTIG were merged into a single collection hosted at Lamont-Doherty Earth Observatory. Content here was removed July 1, 2020. Visit the Academic Seismic Portal @LDEO! https://www.marine-geo.org/collections/#!/collection/Seismic#summary (https://www.re3data.org/repository/r3d100010644) >>>!!!<<<
Academic Torrents is a distributed data repository. The academic torrents network is built for researchers, by researchers. Its distributed peer-to-peer library system automatically replicates your datasets on many servers, so you don't have to worry about managing your own servers or file availability. Everyone who has data becomes a mirror for those data so the system is fault-tolerant.
AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes. Using exhaustively and with high quality standards the available cDNA sequences evidences the beauty and complexity of mammals’ transcriptome, and the relative simplicity of the nematode and plant transcriptomes. Genes are classified according to their inferred coding potential; many presumably non-coding genes are discovered. Genes are named by Entrez Gene names when available, else by AceView gene names, stable from release to release. Alternative features (promoters, introns and exons, polyadenylation signals) and coding potential, including motifs, domains, and homologies are annotated in depth; tissues where expression has been observed are listed in order of representation; diseases, phenotypes, pathways, functions, localization or interactions are annotated by mining selected sources, in particular PubMed, GAD and Entrez Gene, and also by performing manual annotation, especially in the worm. In this way, both the anatomy and physiology of the experimentally cDNA supported human, mouse and nematode genes are thoroughly annotated.
Addgene archives and distributes plasmids for researchers around the globe. They are working with thousands of laboratories to assemble a high-quality library of published plasmids for use in research and discovery. By linking plasmids with articles, scientists can always find data related to the materials they request.
The African Development Bank Group (AfDB) is committed to supporting statistical development in Africa as a sound basis for designing and managing effective development policies for reducing poverty on the continent. Reliable and timely data is critical to setting goals and targets as well as evaluating project impact. Reliable data constitutes the single most convincing way of getting the people involved in what their leaders and institutions are doing. It also helps them to get involved in the development process, thus giving them a sense of ownership of the entire development process. The AfDB has a large team of researchers who focus on the production of statistical data on economic and social situations. The data produced by the institution’s statistics department constitutes the background information in the Bank’s flagship development publications. Besides its own publication, the AfDB also finances studies in collaboration with its partners. The Statistics Department aims to stand as the primary source of relevant, reliable and timely data on African development processes, starting with the data generated from its current management of the Africa component of the International Comparison Program (ICP-Africa). The Department discharges its responsibilities through two divisions: The Economic and Social Statistics Division (ESTA1); The Statistical Capacity Building Division (ESTA2)
Ag Data Commons provides access to a wide variety of open data relevant to agricultural research. We are a centralized repository for data already on the web, as well as for new data being published for the first time. While compliance with the U.S. Federal public access and open data directives is important, we aim to surpass them. Our goal is to foster innovative data re-use, integration, and visualization to support bigger, better science and policy.
AHEAD, the European Archive of Historical Earthquake Data 1000-1899, is a distributed archive aiming at preserving, inventorying and making available, to investigators and other users, data sources on the earthquake history of Europe, such as papers, reports, Macroseismic Data Points (MDPs), parametric catalogues, and so on.
The Alaska Native Language Archive houses documentation of the various Native languages of Alaska and helps to preserve and cultivate this unique heritage for future generations. As the premier repository worldwide for information relating to the Native languages of Alaska, the Archive serves researchers, teachers and students, as well as members of the broader community. The collection includes both published and unpublished materials in or on all of the Alaska Native languages and related languages. The collection has enduring cultural, historic, and intellectual value, particularly for Alaska Native language speakers and their descendants
Alaska Ocean Observing System (AOOS) provides ocean and coastal observations data. The AOOS is governed by the Integrated Ocean Observing System (IOOS) which is a partnership among federal, regional, academic and private sector groups. The Ocean Data Explorer contains scientific and management information including real-time sensor feeds, operational oceanographic and atmospheric models, satellite observations and GIS data sets that describe the biological, chemical and physical characteristics of Alaska and its surrounding waters. This map offers many new updated features that build upon the existing data system.
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AGS delivers geoscience in several key areas, including surficial mapping, bedrock mapping, geological modelling, resource evaluation (hydrocarbons, minerals), groundwater, and geological hazards. We also are responsible for maintaining the Alberta Table of Formations and providing geoscience outreach to stakeholders ranging from professional colleagues and academia to the general public.
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ALEXA is a microarray design platform for 'alternative expression analysis'. This platform facilitates the design of expression arrays for analysis of mRNA isoforms generated from a single locus by the use of alternative transcription initiation, splicing and polyadenylation sites. We use the term 'ALEXA' to describe a collection of novel genomic methods for 'alternative expression' analysis. 'Alternative expression' refers to the identification and quantification of alternative mRNA transcripts produced by alternative transcript initiation, alternative splicing and alternative polyadenylation. This website provides supplementary materials, source code and other downloads for recent publications describing our studies of alternative expression (AE). Most recently we have developed a method, 'ALEXA-Seq' and associated resources for alternative expression analysis by massively parallel RNA sequencing.
The Allele Frequency Net Database (AFND) is a public database which contains frequency information of several immune genes such as Human Leukocyte Antigens (HLA), Killer-cell Immunoglobulin-like Receptors (KIR), Major histocompatibility complex class I chain-related (MIC) genes, and a number of cytokine gene polymorphisms. The Allele Frequency Net Database (AFND) provides a central source, freely available to all, for the storage of allele frequencies from different polymorphic areas in the Human Genome. Users can contribute the results of their work into one common database and can perform database searches on information already available. We have currently collected data in allele, haplotype and genotype format. However, the success of this website will depend on you to contribute your data.
AmeriFlux is a network of PI-managed sites measuring ecosystem CO2, water, and energy fluxes in North, Central and South America. It was established to connect research on field sites representing major climate and ecological biomes, including tundra, grasslands, savanna, crops, and conifer, deciduous, and tropical forests. As a grassroots, investigator-driven network, the AmeriFlux community has tailored instrumentation to suit each unique ecosystem. This “coalition of the willing” is diverse in its interests, use of technologies and collaborative approaches. As a result, the AmeriFlux Network continually pioneers new ground.
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The AMUReD Institutional Research Data Repository of the Adam Mickiewicz University in Poznan (UAM) collects and provides access to digital versions of research data collected, processed or produced as part of the scientific research or developmental work of UAM employees.The AMUReD Repository is part of the AMU Research Portal, with University Library in Poznan as the operating unit. Depositing data is possible after logging into the AMU Research Portal, according to the attached instructions. The AMUReD repository is open, and research data are made available in three models: open (Open Access), embargo (Embargo) and closed (Restricted Access). The detailed rules of the AMUReD repository are defined in the Regulations. The AMUReD repository complies with the FAIR Principles. Each dataset is given a unique DOI identifier. The AMUReD repository complies with the FAIR Principles. Each dataset is given a unique DOI identifier. The prefix for DOIs is doi:10.60629. It is possible to choose a Creative Commons license for shared datasets.
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 Antarctic and Southern Ocean Data Portal, part of the US Antarctic Data Consortium, provides access to geoscience data, primarily marine, from the Antarctic region. The synthesis began in 2003 as the Antarctic Multibeam Bathymetry and Geophysical Data Synthesis (AMBS) with a focus on multibeam bathymetry field data and other geophysical data from the Southern Ocean collected with the R/V N. B. Palmer. In 2005, the effort was expanded to include all routine underway geophysical and oceanographic data collected with both the R/V N. B. Palmer and R/V L. Gould, the two primary research vessels serving the US Antarctic Program.
<<<!!!<<< This repository is no longer available. >>>!!!>>> In 2016, NSIDC partnered with the United States Antarctic Program - Data Center (USAP-DC) at Columbia University to consolidate NSF glaciology data into a central USAP Project Catalog and a Data Repository for research datasets derived from these projects. From 2016 to 2018, the AGDC data sets were transferred to USAP-DC. All AGDC data previously archived with NSIDC are now available via the USAP-DC https://www.re3data.org/repository/r3d100010660.
The Australian National University undertake work to collect and publish metadata about research data held by ANU, and in the case of four discipline areas, Earth Sciences, Astronomy, Phenomics and Digital Humanities to develop pipelines and tools to enable the publication of research data using a common and repeatable approach. Aims and outcomes: To identify and describe research data held at ANU, to develop a consistent approach to the publication of metadata on the University's data holdings: Identification and curation of significant orphan data sets that might otherwise be lost or inadvertently destroyed, to develop a culture of data data sharing and data re-use.
Arca Data is Fiocruz's official repository for archiving, publishing, disseminating, preserving and sharing digital research data produced by the Fiocruz community or in partnership with other research institutes or bodies, with the aim of promoting new research, ensuring the reproducibility or replicability of existing research and promoting an Open and Citizen Science. Its objective is to stimulate the wide circulation of scientific knowledge, strengthening the institutional commitment to Open Science and free access to health information, in addition to providing transparency and fostering collaboration between researchers, educators, academics, managers and graduate students, to the advancement of knowledge and the creation of solutions that meet the demands of society.