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Found 22 result(s)

PubChem

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Pubchem contains 3 databases. 1. PubChem BioAssay: The PubChem BioAssay Database contains bioactivity screens of chemical substances described in PubChem Substance. It provides searchable descriptions of each bioassay, including descriptions of the conditions and readouts specific to that screening procedure. 2. PubChem Compound: The PubChem Compound Database contains validated chemical depiction information provided to describe substances in PubChem Substance. Structures stored within PubChem Compounds are pre-clustered and cross-referenced by identity and similarity groups. 3. PubChem Substance. The PubChem Substance Database contains descriptions of samples, from a variety of sources, and links to biological screening results that are available in PubChem BioAssay. If the chemical contents of a sample are known, the description includes links to PubChem Compound.

ETH Zürich Research Collection

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The Research Collection is ETH Zurich's publication platform. It unites the functions of a university bibliography, an open access repository and a research data repository within one platform. Researchers who are affiliated with ETH Zurich, the Swiss Federal Institute of Technology, may deposit research data from all domains. They can publish data as a standalone publication, publish it as supplementary material for an article, dissertation or another text, share it with colleagues or a research group, or deposit it for archiving purposes. Research-data-specific features include flexible access rights settings, DOI registration and a DOI preview workflow, content previews for zip- and tar-containers, as well as download statistics and altmetrics for published data. All data uploaded to the Research Collection are also transferred to the ETH Data Archive, ETH Zurich’s long-term archive.

DataverseNO

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DataverseNO (https://dataverse.no) is a curated, FAIR-aligned national generic repository for open research data from all academic disciplines. DataverseNO commits to facilitate that published data remain accessible and (re)usable in a long-term perspective. The repository is owned and operated by UiT The Arctic University of Norway. DataverseNO accepts submissions from researchers primarily from Norwegian research institutions. Datasets in DataverseNO are grouped into institutional collections as well as special collections. The technical infrastructure of the repository is based on the open source application Dataverse (https://dataverse.org), which is developed by an international developer and user community led by Harvard University.

The Paleobiology Database

PaleoDB

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The Paleobiology Database (PaleoBioDB) is a non-governmental, non-profit public resource for paleontological data. It has been organized and operated by a multi-disciplinary, multi-institutional, international group of paleobiological researchers. Its purpose is to provide global, collection-based occurrence and taxonomic data for organisms of all geological ages, as well data services to allow easy access to data for independent development of analytical tools, visualization software, and applications of all types. The Database’s broader goal is to encourage and enable data-driven collaborative efforts that address large-scale paleobiological questions.

OLOS

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OLOS is a Swiss-based data management portal tailored for researchers and institutions. Powerful yet easy to use, OLOS works with most tools and formats across all scientific disciplines to help researchers safely manage, publish and preserve their data. The solution was developed as part of a larger project focusing on Data Life Cycle Management (dlcm.ch) that aims to develop various services for research data management. Thanks to its highly modular architecture, OLOS can be adapted both to small institutions that need a "turnkey" solution and to larger ones that can rely on OLOS to complement what they have already implemented. OLOS is compatible with all formats in use in the different scientific disciplines and is based on modern technology that interconnects with researchers' environments (such as Electronic Laboratory Notebooks or Laboratory Information Management Systems).

Array Express

functional genomics data

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ArrayExpress is one of the major international repositories for high-throughput functional genomics data from both microarray and high-throughput sequencing studies, many of which are supported by peer-reviewed publications. Data sets are submitted directly to ArrayExpress and curated by a team of specialist biological curators. In the past (until 2018) datasets from the NCBI Gene Expression Omnibus database were imported on a weekly basis. Data is collected to MIAME and MINSEQE standards.

CDC WONDER

Centers for Disease Control and Prevention, Wide-ranging OnLine Data for Epidemiologic Research

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CDC WONDER, developed by the Centers for Disease Control and Prevention (CDC), is an integrated information and communication system for public health. It allows you to access wide-ranging online data for epidemiologic research.

SciLifeLab Data Repository

SciLifeLab figshare

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This repository accepts data from life science researchers and service units in Sweden. The repository is operated by SciLifeLab, which is the national infrastructure for life science and environmental research in Sweden. This repository replaces NBIS DOI repository: https://doi.org/10.17616/R3CW52

German Federation for Biological Data

GFBio

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The project brings together national key players providing environmentally related biological data and services to develop the ‘German Federation for Biological Data' (GFBio). The overall goal is to provide a sustainable, service oriented, national data infrastructure facilitating data sharing and stimulating data intensive science in the fields of biological and environmental research.

GWAS Central

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GWAS Central (previously the Human Genome Variation database of Genotype-to-Phenotype information) is a database of summary level findings from genetic association studies, both large and small. We actively gather datasets from public domain projects, and encourage direct data submission from the community.

National Institute of Mental Health Data Archive

NIMH Data Archive

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The National Institute of Mental Health Data Archive (NDA) makes available human subjects data collected from hundreds of research projects across many scientific domains. The NDA provides infrastructure for sharing research data, tools, methods, and analyses enabling collaborative science and discovery. De-identified human subjects data, harmonized to a common standard, are available to qualified researchers. Summary data is available to all. The primary point of entry to the NDA is currently through the National Database for Autism Research (NDAR) website, which serves the autism research community. All NDA repositories can be accessed through this website for data contribution and querying with other scientific communities, allowing for aggregation and secondary analysis of data.

RADAR

Research Data Repository

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RADAR offers researchers at publicly funded universities and non-academic research institutions in Germany a customized and user-friendly repository for archiving and publication of research data independent of discipline and format. The administration of the service, the individual workflows for uploading, organising and annotating the research data with metadata as well as the curation of the datasets and optional quality assurance through peer review are the responsibility of the using institution. For data archiving, data providers can flexibly choose retention periods (5, 10, 15 years) and define access rights. Published datasets are kept for at least 25 years, they are always assigned a DOI via DataCite and can thus be internationally identified and cited. RADAR is operated exclusively on servers in Germany. The data are stored in three copies at two locations. All contracts are subject to German law.

The European Genome-phenome Archive

EGA

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The European Genome-phenome Archive (EGA) is designed to be a repository for all types of sequence and genotype experiments, including case-control, population, and family studies. We will include SNP and CNV genotypes from array based methods and genotyping done with re-sequencing methods. The EGA will serve as a permanent archive that will archive several levels of data including the raw data (which could, for example, be re-analysed in the future by other algorithms) as well as the genotype calls provided by the submitters. We are developing data mining and access tools for the database. For controlled access data, the EGA will provide the necessary security required to control access, and maintain patient confidentiality, while providing access to those researchers and clinicians authorised to view the data. In all cases, data access decisions will be made by the appropriate data access-granting organisation (DAO) and not by the EGA. The DAO will normally be the same organisation that approved and monitored the initial study protocol or a designate of this approving organisation. The European Genome-phenome Archive (EGA) allows you to explore datasets from genomic studies, provided by a range of data providers. Access to datasets must be approved by the specified Data Access Committee (DAC).

DRYAD

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Dryad is an open data publishing platform and a community committed to the open availability and routine re-use of all research data. We publish data in any format and any discipline. All Dryad data undergoes a curation process and is published under a CC0 waiver to promote reuse.

Synapse

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Synapse is an open source software platform that clinical and biological data scientists can use to carry out, track, and communicate their research in real time. Synapse enables co-location of scientific content (data, code, results) and narrative descriptions of that work.

Finnish Biodiversity Information Facility

Laji.fi

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FinBIF is an integral part of the global biodiversity informatics framework, dedicated to managing species information. Its mission encompasses a wide array of services, including the generation of digital data through various processes, as well as the sourcing, collation, integration, and distribution of existing digital data. Key initiatives under FinBIF include the digitization of collections, the development of data systems for collections Kotka (https://biss.pensoft.net/article/37179/) and observations (https://biss.pensoft.net/article/39150/), and the establishment of a national DNA barcode reference library. FinBIF manages data types such as verbal species descriptions (which include drawings, pictures, and other media types), biological taxonomy, scientific collection specimens, opportunistic systematic and event-based observations, and DNA barcodes. It employs a unified IT architecture to manage data flows, delivers services through a single online portal, fosters collaboration under a cohesive umbrella concept, and articulates development visions under a unified brand. The portal Laji.fi serves as the entry point to this harmonized open data ecosystem. FinBIF's portal is accessible in Finnish, Swedish, and English. Data intended for restricted use are made available to authorities through a separate portal, while open data are also shared with international systems, such as GBIF.

Bicocca Open Archive Research Data

BOARD

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BOARD (Bicocca Open Archive Research Data) is the institutional data repository of the University of Milano-Bicocca. BOARD is an open, free-to-use research data repository, which enables members of University of Milano-Bicocca to make their research data publicly available. By depositing their research data in BOARD researchers can: - Make their research data citable - Share their data privately or publicly - Ensure long-term storage for their data - Keep access to all versions - Link their article to their data

Store.Synchrotron Data Store

myTARDIS Diffraction Image Repository

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<<<!!!<<< The repository is offline >>>!!!>>> Store.Synchrotron is a fully functional, cloud computing based solution to raw X-ray data archival and dissemination at the Australian Synchrotron, largest stand-alone piece of scientific infrastructure in the southern hemisphere. Store.Synchrotron represents the logical extension of a long-standing effort in the macromolecular crystallography community to ensure that satisfactory evidence is provided to support the interpretation of structural experiments.

SPARC Portal

Stimulating Peripheral Activity to Relieve Conditions

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The overall vision for the SPARC Portal is to accelerate autonomic neuroscience research and device development by providing access to digital resources that can be shared, cited, visualized, computed, and used for virtual experimentation.

NF Data Portal

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The NF Data Portal is designed to help openly explore and share NF datasets, analysis tools, resources, and publications related to neurofibromatosis. Anyone can join the NF Open Science Initiative (NF-OSI) to participate! We welcome contributions from anyone in the neurofibromatosis and schwannomatosis research community, such as original datasets generated by the community or analyses of data from the NF Data Portal.

NSF Arctic Data Center

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The Arctic Data Center is the primary data and software repository for the Arctic section of NSF Polar Programs. The Center helps the research community to reproducibly preserve and discover all products of NSF-funded research in the Arctic, including data, metadata, software, documents, and provenance that links these together. The repository is open to contributions from NSF Arctic investigators, and data are released under an open license (CC-BY, CC0, depending on the choice of the contributor). All science, engineering, and education research supported by the NSF Arctic research program are included, such as Natural Sciences (Geoscience, Earth Science, Oceanography, Ecology, Atmospheric Science, Biology, etc.) and Social Sciences (Archeology, Anthropology, Social Science, etc.). Key to the initiative is the partnership between NCEAS at UC Santa Barbara, DataONE, and NOAA’s NCEI, each of which bring critical capabilities to the Center. Infrastructure from the successful NSF-sponsored DataONE federation of data repositories enables data replication to NCEI, providing both offsite and institutional diversity that are critical to long term preservation.

Etsin Research Data Finder

Etsin - tutkimusaineistojen hakupalvelu

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Etsin is a research data finder that contains descriptive information – that is, metadata – on research datasets. In the service you can search and find data from various fields of research. A researcher, research group or organisation can use Etsin to publish information on their datasets and offer them for wider use. The metadata contained in Etsin makes it easy for anyone to discover the datasets. Etsin assigns a permanent URN identifier to datasets, making it possible to link to the dataset and gather merit through its publication and use. The metadata enables users to search for datasets and evaluate the potential for reuse. Etsin includes a description of the dataset, keywords and various dataset identifiers. The dataset information includes, for example, its subject, language, author, owner and how it is licensed for reuse. Good description of data plays an important role in its discoverability and visibility. Etsin encourages comprehensive descriptions by adapting a common set of discipline independent metadata fields and by making it easy to enter metadata. Etsin only collects metadata on datasets, not the data themselves. Anyone may browse and read the metadata. Etsin can be used with a browser or through an open interface (API). The service is discipline independent and free to use. Etsin is a service provided by the Ministry of Education and Culture to actors in the Finnish research system. The service is produced by CSC – IT Center for Science (CSC). Customer service contacts and feedback is available through servicedesk@csc.fi. The service maintenance window is on the fourth Monday of every month between 4 and 6 PM (EET). During that time, the service will be out of use.