Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Certificates

Data access

Data access restrictions

Database access

Database access restrictions

Database licenses

Data licenses

Data upload

Data upload restrictions

Enhanced publication

Institution responsibility type

Institution type

Keywords

Metadata standards

PID systems

Provider types

Quality management

Repository languages

Software

Syndications

Repository types

Versioning

  • * at the end of a keyword allows wildcard searches
  • " quotes can be used for searching phrases
  • + represents an AND search (default)
  • | represents an OR search
  • - represents a NOT operation
  • ( and ) implies priority
  • ~N after a word specifies the desired edit distance (fuzziness)
  • ~N after a phrase specifies the desired slop amount
Found 85 result(s)
The OpenMadrigal project seeks to develop and support an on-line database for geospace data. The project has been led by MIT Haystack Observatory since 1980, but now has active support from Jicamarca Observatory and other community members. Madrigal is a robust, World Wide Web based system capable of managing and serving archival and real-time data, in a variety of formats, from a wide range of ground-based instruments. Madrigal is installed at a number of sites around the world. Data at each Madrigal site is locally controlled and can be updated at any time, but shared metadata between Madrigal sites allow searching of all Madrigal sites at once from any Madrigal site. Data is local; metadata is shared.
>>>>!!!<<< As stated 2017-06-27 The website http://researchcompendia.org is no longer available; repository software is archived on github https://github.com/researchcompendia >>>!!!<<< The ResearchCompendia platform is an attempt to use the web to enhance the reproducibility and verifiability—and thus the reliability—of scientific research. we provide the tools to publish the "actual scholarship" by hosting data, code, and methods in a form that is accessible, trackable, and persistent. Some of our short term goals include: To expand and enhance the platform including adding executability for a greater variety of coding languages and frameworks, and enhancing output presentation. To expand usership and to test the ResearchCompendia model in a number of additional fields, including computational mathematics, statistics, and biostatistics. To pilot integration with existing scholarly platforms, enabling researchers to discover relevant Research Compendia websites when looking at online articles, code repositories, or data archives.
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library. It is written in C++ and easily scales to massive networks with hundreds of millions of nodes, and billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. SNAP is also available through the NodeXL which is a graphical front-end that integrates network analysis into Microsoft Office and Excel. The SNAP library is being actively developed since 2004 and is organically growing as a result of our research pursuits in analysis of large social and information networks. Largest network we analyzed so far using the library was the Microsoft Instant Messenger network from 2006 with 240 million nodes and 1.3 billion edges. The datasets available on the website were mostly collected (scraped) for the purposes of our research. The website was launched in July 2009.
CRAWDAD is the Community Resource for Archiving Wireless Data, a wireless network data resource for the research community. This archive has the capacity to store wireless trace data from many contributing locations, and staff to develop better tools for collecting, anonymizing, and analyzing the data. We work with community leaders to ensure that the archive meets the needs of the research community.
Country
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.
Country
The RESIF Seismic data portal offers access to seismological and other associated geophysical data from permanent and temporary seismic networks operated all over the world by French research institutions and international partners, to support research on source processes and imaging of the Earth's interior at all scales. RESIF (French seismologic and geodetic network) is a French national equipment for the observation and understanding of the solid Earth.
Country
Avibase is an extensive database information system about all birds of the world, containing over 19 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 IMEx consortium is an international collaboration between a group of major public interaction data providers who have agreed to share curation effort and develop and work to a single set of curation rules when capturing data from both directly deposited interaction data or from publications in peer-reviewed journals, capture full details of an interaction in a “deep” curation model, perform a complete curation of all protein-protein interactions experimentally demonstrated within a publication, make these interaction available in a single search interface on a common website, provide the data in standards compliant download formats, make all IMEx records freely accessible under the Creative Commons Attribution License
Country
Arquivo.pt is a research infrastructure that preserves millions of files collected from the web since 1996 and provides a public search service over this information. It contains information in several languages. Periodically it collects and stores information published on the web. Then, it processes the collect data to make it searchable, providing a “Google-like” service that enables searching the past web (English user interface available at www.archive.pt). This preservation workflow is performed through a large-scale distributed information system and can also accessed through API.
UniProtKB/Swiss-Prot is the manually annotated and reviewed section of the UniProt Knowledgebase (UniProtKB). It is a high quality annotated and non-redundant protein sequence database, which brings together experimental results, computed features and scientific conclusions. Since 2002, it is maintained by the UniProt consortium and is accessible via the UniProt website.
Country
The BCDC serves the research data obtained, and the data syntheses assembled, by researchers within the Bjerknes Centre for Climate Research. Furthermore it is open for all interested scientists independent of institution. All data from the different disciplines (e.g. geology, oceanography, biology, model community) will be archived in a long-term repository, interconnected and made publicly available by the BCDC. BCDC has collaborations with many international data repositories and actively archives metadata and data at those ensuring quality and FAIRness. BCDC has it's main focus on services for data management for external and internal funded projects in the field of climate research, provides data management plans and ensures that data is archived accordingly according to the best practices in the field. The data management services rank from project work for small external funded project to top-of-the-art data management services for research infrastructures on the ESFRI roadmap (e.g. RI ICOS – Integrated Carbon Observation System) and for provides products and services for Copernicus Marine Environmental Monitoring Services. In addition BCDC is advising various communities on data management services e.g. IOC UNESCO, OECD, IAEA and various funding agencies. BCDC will become an Associated Data Unit (ADU) under IODE, International Oceanographic Data and Information Exchange, a worldwide network that operates under the auspices of the Intergovernmental Oceanographic Commission of UNESCO and aims at becoming a part of ICSU World Data System.
Country
China National GeneBank DataBase (CNGBdb) is a unified platform built for biological big data sharing and application services to the research community. Based on the big data and cloud computing technologies, it provides data services such as archive, analysis, knowledge search, management authorization, and visualization. At present, CNGBdb has integrated large amounts of internal and external molecular data and other information from CNGB, NCBI, EBI, DDBJ, etc., indexed by search, covering 12 data structures. Moreover, CNGBdb correlates living sources, biological samples and bioinformatic data to realize the traceability of comprehensive data.
Project Data Sphere, LLC, operates a free digital library-laboratory where the research community can broadly share, integrate and analyze historical, de-identified, patient-level data from academic and industry cancer Phase II-III clinical trials. These patient-level datasets are available through the Project Data Sphere platform to researchers affiliated with life science companies, hospitals and institutions, as well as independent researchers, at no cost and without requiring a research proposal.
Country
AUSSDA - The Austrian Social Science Data Archive (AUSSDA) is a core social science research infrastructure in Austria, offering research data and archiving services. It is located at the Universities of Vienna, Graz, and Linz and is funded by the Austrian Federal Ministry of Education, Science and Research (BMBWF). AUSSDA strives to become the leading research infrastructure for the social sciences in Austria, offering high quality, sustainable, and easy-to-use solutions for archiving digital data, along with world-wide access to it. The archive follows international standards in order to make deposited social science data and documentation findable, accessible, interoperable and reusable. AUSSDA is active in a growing network of national and international partners, promoting high archiving standards and contributing to archive solutions of the future. Our collection covers all social science data. We support the open data movement and work towards maximizing the potential for data use within our user group. The primary beneficiaries of our services are researchers, while our online services can also be used by students, educational institutions as well as media representatives and the public. We stand for integrity in data archiving and promote ethical research principles.
GLOBE (Global Collaboration Engine) is an online collaborative environment that enables land change researchers to share, compare and integrate local and regional studies with global data to assess the global relevance of their work.
The DIP database catalogs experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database were curated, both, manually by expert curators and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Please, check the reference page to find articles describing the DIP database in greater detail. The Database of Ligand-Receptor Partners (DLRP) is a subset of DIP (Database of Interacting Proteins). The DLRP is a database of protein ligand and protein receptor pairs that are known to interact with each other. By interact we mean that the ligand and receptor are members of a ligand-receptor complex and, unless otherwise noted, transduce a signal. In some instances the ligand and/or receptor may form a heterocomplex with other ligands/receptors in order to be functional. We have entered the majority of interactions in DLRP as full DIP entries, with links to references and additional information
The US Virtual Astronomical Observatory (VAO) is the VO effort based in the US, and it is one of many VO projects currently underway worldwide. The primary emphasis of the VAO is to provide new scientific research capabilities to the astronomy community. Thus an essential component of the VAO activity is obtaining input from US astronomers about the research tools that are most urgently needed in their work, and this information will guide the development efforts of the VAO. >>>!!!<<< Funding discontinued in 2014 and all software, documentation, and other digital assets developed under the VAO are stored in the VAO Project Repository https://sites.google.com/site/usvirtualobservatory/ . Code is archived on Github https://github.com/TomMcGlynn/usvirtualobservatory . >>>!!!<<<
Country
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.
Country
Datatang is a professional data pre-processing company. We are engaged in data collecting, annotating, and customizing to meet our clients’ various needs. We assist our clients from university research labs and company R&D departments to waive trivial yet necessary data processing procedure and make their approach to the highest-value data in a more efficient way.
EDINA delivers online services and tools to benefit students, teachers and researchers in UK Higher and Further Education and beyond.
Socrata’s cloud-based solution allows government organizations to put their data online, make data-driven decisions, operate more efficiently, and share insights with citizens.
Merritt is a curation repository for the preservation of and access to the digital research data of the ten campus University of California system and external project collaborators. Merritt is supported by the University of California Curation Center (UC3) at the California Digital Library (CDL). While Merritt itself is content agnostic, accepting digital content regardless of domain, format, or structure, it is being used for management of research data, and it forms the basis for a number of domain-specific repositories, such as the ONEShare repository for earth and environmental science and the DataShare repository for life sciences. Merritt provides persistent identifiers, storage replication, fixity audit, complete version history, REST API, a comprehensive metadata catalog for discovery, ATOM-based syndication, and curatorially-defined collections, access control rules, and data use agreements (DUAs). Merritt content upload and download may each be curatorially-designated as public or restricted. Merritt DOIs are provided by UC3's EZID service, which is integrated with DataCite. All DOIs and associated metadata are automatically registered with DataCite and are harvested by Ex Libris PRIMO and Thomson Reuters Data Citation Index (DCI) for high-level discovery. Merritt is also a member node in the DataONE network; curatorially-designated data submitted to Merritt are automatically registered with DataONE for additional replication and federated discovery through the ONEMercury search/browse interface.
Candida Genome Database, a resource for genomic sequence data and gene and protein information for Candida albicans and related species. CGD is based on the Saccharomyces Genome Database. The Candida Genome Database (CGD) provides online access to genomic sequence data and manually curated functional information about genes and proteins of the human pathogen Candida albicans and related species. C. albicans is the best studied of the human fungal pathogens. It is a common commensal organism of healthy individuals, but can cause debilitating mucosal infections and life-threatening systemic infections, especially in immunocompromised patients. C. albicans also serves as a model organism for the study of other fungal pathogens.
The Rat Genome Database is a collaborative effort between leading research institutions involved in rat genetic and genomic research. Its goal, as stated in RFA: HL-99-013 is the establishment of a Rat Genome Database, to collect, consolidate, and integrate data generated from ongoing rat genetic and genomic research efforts and make these data widely available to the scientific community. A secondary, but critical goal is to provide curation of mapped positions for quantitative trait loci, known mutations and other phenotypic data.
The German Text Archive (Deutsches Textarchiv, DTA) presents online a selection of key German-language works in various disciplines from the 17th to 19th centuries. The electronic full-texts are indexed linguistically and the search facilities tolerate a range of spelling variants. The DTA presents German-language printed works from around 1650 to 1900 as full text and as digital facsimile. The selection of texts was made on the basis of lexicographical criteria and includes scientific or scholarly texts, texts from everyday life, and literary works. The digitalisation was made from the first edition of each work. Using the digital images of these editions, the text was first typed up manually twice (‘double keying’). To represent the structure of the text, the electronic full-text was encoded in conformity with the XML standard TEI P5. The next stages complete the linguistic analysis, i.e. the text is tokenised, lemmatised, and the parts of speech are annotated. The DTA thus presents a linguistically analysed, historical full-text corpus, available for a range of questions in corpus linguistics. Thanks to the interdisciplinary nature of the DTA Corpus, it also offers valuable source-texts for neighbouring disciplines in the humanities, and for scientists, legal scholars and economists.