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Found 408 result(s)

NCBI Datasets

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NCBI Datasets is a continually evolving platform designed to provide easy and intuitive access to NCBI’s sequence data and metadata. NCBI Datasets is part of the NIH Comparative Genomics Resource (CGR). CGR facilitates reliable comparative genomics analyses for all eukaryotic organisms through an NCBI Toolkit and community collaboration.

IEEE DataPort

DataPort

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IEEE DataPort™ is a universally accessible online data repository created, owned, and supported by IEEE, the world’s largest technical professional organization. It enables all researchers and data owners to upload their dataset without cost. IEEE DataPort makes data available in three ways: standard datasets, open access datasets, and data competition datasets. By default, all "standard" datasets that are uploaded are accessible to paid IEEE DataPort subscribers. Data owners have an option to pay a fee to make their dataset “open access”, so it is available to all IEEE DataPort users (no subscription required). The third option is to host a "data competition" and make a dataset accessible for free for a specific duration with instructions for the data competition and how to participate. IEEE DataPort provides workflows for uploading data, searching, and accessing data, and initiating or participating in data competitions. All datasets are stored on Amazon AWS S3, and each dataset uploaded by an individual can be up to 2TB in size. Institutional subscriptions are available to the platform to make it easy for all members of a given institution to utilize the platform and upload datasets.

Preclinical Image DAtaset Repository

PIDAR

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The Preclinical Image DAtaset Repository (PIDAR) is a public repository of metadata information of preclinical image datasets from any imaging modality associated to peer-review publications. The metadata information are organized in a proper schema to create a standard metadata model for preclinical imaging.

Harvard Medical School, Library of Integrated Network-Based Cellular Signatures Database

HMS, LINCS database

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The Database contains all publicly available HMS LINCS datasets and information for each dataset about experimental reagents (small molecule perturbagens, cells, antibodies, and proteins) and experimental and data analysis protocols.

Data.gov

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Data.gov increases the ability of the public to easily find, download, and use datasets that are generated and held by the Federal Government. Data.gov provides descriptions of the Federal datasets (metadata), information about how to access the datasets, and tools that leverage government datasets

Life Science Database Archive

LSDB Archive

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The Life Science Database Archive maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata (description of datasets) in a unified format, and to access and download the datasets with clear terms of use. In addition, the Archive provides datasets in forms friendly to different types of users in public and private institutions, and thereby supports further contribution of each research to life science.

County of Grande Prairie Open Data

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The County of Grande Prairie public platform for exploring and downloading open data, discovering and building apps, and engaging to solve important local issues. You can analyze and combine Open Datasets using maps, as well as develop new web and mobile applications.

CIARD Ring

CIARDRING

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The CiardRING is a global directory of web-based information services and datasets for agricultural research for development (ARD). It is the principal tool created through the CIARD initiative to allow information providers to register their services and datasets in various categories and so facilitate the discovery of sources of agriculture-related information across the world. The RING aims to provide an infrastructure to improve the accessibility of the outputs of agricultural research and of information relevant to agriculture.

ScholarWorks@UMassAmherst

ScholarWorks

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ScholarWorks offers long-term storage and public access to the data and datasets produced by labs and researchers at UMass Amherst.

St Andrews Research portal - Research Data

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The St Andrews research portal features the research activities within the University of St Andrews.

Griffith University Research Data Repository

Griffith Research Online

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The Griffith University Research Data Repository makes the collections and datasets produced by Griffith researchers accessible and searchable.

Brain Analysis Library of Spatial maps and Atlases

BALSA

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Brain Analysis Library of Spatial maps and Atlases (BALSA) is a database for hosting and sharing neuroimaging and neuroanatomical datasets for human and primate species. BALSA houses curated, user-created Study datasets, extensively analyzed neuroimaging data associated with published figures and Reference datasets mapped to brain atlas surfaces and volumes in human and nonhuman primates as a general resource (e.g., published cortical parcellations).

SBGrid Data Bank

Structural Biology Data Grid

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Open access to macromolecular X-ray diffraction and MicroED datasets. The repository complements the Worldwide Protein Data Bank. SBDG also hosts reference collection of biomedical datasets contributed by members of SBGrid, Harvard and pilot communities.

The Hive

Research Data Repository of the University of Utah

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The Hive is the University of Utah's institutional data repository. All datasets are associated with a U of Utah current or past faculty member or student. They are also all freely available under creative commons licenses. The repository spans disciplines and has over 80 datasets at this time.

UWA Profiles and Research Repository

formerly: RDO

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The UWA Profiles and Research Repository contains research publications, research datasets, theses, equipment, grants and activities created by researchers and postgraduates affiliated with the University of Western Australia (UWA). It is managed by the University Library and provides access to research datasets held at UWA. The information about each dataset has been provided by UWA research groups. Dataset metadata is harvested into Research Data Australia (RDA) https://researchdata.edu.au/.

LibraData

University of Virginia Dataverse

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LibraData is a place for UVA researchers to share data publicly. It is UVA's local instance of Dataverse. LibraData is part of the Libra Scholarly Repository suite of services which includes works of UVA scholarship such as articles, books, theses, and data.

Nightingale Open Science

NGSCI

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Nightingale Open Science creates rich clinical datasets, linking imaging and waveforms to key health outcomes, and make them available to researchers, teachers, and learners around the world.

CancerData.org

Sharing data for cancer research

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The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. Our activities in the field of medical image analysis and data modelling are visible in a number of projects we are running. CancerData is offering several datasets. They are grouped in collections and can be public or private. You can search for public datasets in the NBIA (National Biomedical Imaging Archive) image archives without logging in.

Manaaki Whenua - Landcare Research Data Store

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The Landcare Research DataStore ('the DataStore') is the general data catalogue and repository for Environmental Research Data from Landcare Research. Much of Landcare Research’s research data is available through specific web pages, but many datasets sit outside these areas. This data repository provides a mechanism for our staff to deposit and document this wider range of datasets so that they may be discovered and potentially re-used.

BioImage Archive

BIA

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The BioImage Archive stores and distributes life sciences imaging datasets. It supports deposition of biological imaging data associated with publications for the whole research community, as well as reference imaging datasets. All data deposited to the BioImage Archive is made openly accessible to the scientific community.

eartH2Observe

Global Earth Observation for Integrated Water Resource Assessment

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EartH2Observe brings together the findings from European FP projects DEWFORA, GLOWASIS, WATCH, GEOWOW and others. It will integrate available global earth observations (EO), in-situ datasets and models and will construct a global water resources re-analysis dataset of significant length (several decades). The resulting data will allow for improved insights on the full extent of available water and existing pressures on global water resources in all parts of the water cycle. The project will support efficient and globally consistent water management and decision making by providing comprehensive multi-scale (regional, continental and global) water resources observations. It will test new EO data sources, extend existing processing algorithms and combine data from multiple satellite missions in order to improve the overall resolution and reliability of EO data included in the re-analysis dataset. The resulting datasets will be made available through an open Water Cycle Integrator data portal https://wci.earth2observe.eu/ : the European contribution to the GEOSS/WCI approach. The datasets will be downscaled for application in case-studies at regional and local levels, and optimized based on identified European and local needs supporting water management and decision making . Actual data access: https://wci.earth2observe.eu/data/group/earth2observe

The National Archives

The National Archives Discovery

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The National Archives is home to millions of historical documents, known as records, which were created and collected by UK central government departments and major courts of law. Data of the fomer National Digital Archive of Datasets (NDAD) collection, which was active from 1997 to 2010 and preserves and provides online access to archived digital datasets and documents from UK central government departments, is integrated. Access to records held by The National Archives and more than 2,500 other archives.

Journal of Cell Biology - JCB DataViewer

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>>>!!!<<< Data originally published in the JCB DataViewer has been moved BioStudies. Please note that while the majority of data were moved, some authors opted to remove their data completely. >>>!!!<<< Migrated data can be found at https://www.ebi.ac.uk/biostudies/JCB/studies. Screen data are available in the Image Data Resource repository. http://idr.openmicroscopy.org/webclient/?experimenter=-1 >>>!!!<<< The DataViewer was decommissioned in 2018 as the journal evolved to an all-encompassing archive policy towards original source data and as new data repositories that go beyond archiving data and allow investigators to make new connections between datasets, potentially driving discovery, emerged. JCB authors are encouraged to make available all datasets included in the manuscript from the date of online publication either in a publicly available database or as supplemental materials hosted on the journal website. We recommend that our authors store and share their data in appropriate publicly available databases based on data type and/or community standard. >>>!!!<<<

PRISM Climate Data

Parameter-elevation Regressions on Independent Slopes Model Climate Data

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The PRISM Climate Group gathers climate observations from a wide range of monitoring networks, applies sophisticated quality control measures, and develops spatial climate datasets to reveal short- and long-term climate patterns. The resulting datasets incorporate a variety of modeling techniques and are available at multiple spatial/temporal resolutions, covering the period from 1895 to the present. Whenever possible, we offer these datasets to the public, either free of charge or for a fee (depending on dataset size/complexity and funding available for the activity).

Kaggle

Your home for data science

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Kaggle is a platform for predictive modelling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users. This crowdsourcing approach relies on the fact that there are countless strategies that can be applied to any predictive modelling task and it is impossible to know beforehand which technique or analyst will be most effective.