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Found 282 result(s)

Research Data Unipd

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Research Data Unipd is a data archive and supports research produced by the members of the University of Padova. The service aims to facilitate data discovery, data sharing, and reuse, as required by funding institutions (eg. European Commission). Datasets published in the archive have a set of metadata that ensure proper description and discoverability.

BAliBASE

Benchmark Alignment dataBASE

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A collection of high quality multiple sequence alignments for objective, comparative studies of alignment algorithms. The alignments are constructed based on 3D structure superposition and manually refined to ensure alignment of important functional residues. A number of subsets are defined covering many of the most important problems encountered when aligning real sets of proteins. It is specifically designed to serve as an evaluation resource to address all the problems encountered when aligning complete sequences. The first release provided sets of reference alignments dealing with the problems of high variability, unequal repartition and large N/C-terminal extensions and internal insertions. Version 2.0 of the database incorporates three new reference sets of alignments containing structural repeats, trans-membrane sequences and circular permutations to evaluate the accuracy of detection/prediction and alignment of these complex sequences. Within the resource, users can look at a list of all the alignments, download the whole database by ftp, get the "c" program to compare a test alignment with the BAliBASE reference (The source code for the program is freely available), or look at the results of a comparison study of several multiple alignment programs, using BAliBASE reference sets.

Arch

Research and Data Repository

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Arch is an open access repository for the research and scholarly output of Northwestern University. Log in with your NetID to deposit, describe, and organize your research for public access and long-term preservation. We'll use our expertise to help you curate, share, and preserve your work.

edoc-Server - Forschungsdaten

edoc-Server Open-Access Institutional Repository of the Humboldt-Universität zu Berlin

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The edoc-Server, start 1998, is the Institutional Repository of the Humboldt-Universität zu Berlin and offers the posibility of text- and data-publications. Every item is published for Open-Access with an optional embargo period of up to five years. Data publications since 01.01.2018.

USN Research Data Archive

University of South-Eastern Norway Figshare

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The USN Research Data Archive is an institutional archive where research data produced and collected by University of South-East Norway's reseachers can be stored, made visible and accessible. The researcher can apply the necessary licenses and possibly put embargo and access restrictions on the research data.

Community Coordinated Modeling Center

CCMC

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The Community Coordinated Modeling Center (CCMC) is a multi-agency partnership based at the NASA Goddard Space Flight Center in Greenbelt, Maryland and a component of the National Space Weather Program. The CCMC provides, to the international research community, access to modern space science simulations. In addition, the CCMC supports the transition to space weather operations of modern space research models.

Maine Dataverse Network

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The Maine Dataverse Network is a cloud-based data repository intended to act as a long-term archive and to facilitate data sharing among the research community in accordance with NSF, NIH, NASA and other granting authority data management plan requirements. The Maine Dataverse Network offers a convenient and secure method of sharing and archiving data and is made available to the Maine research community at no cost.

DataSpace@HKUST

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Created and managed by the Library, DataSpace@HKUST is the data repository and workspace service for HKUST research community. Faculty members and research postgraduate students can use the platform to store, share, organize, preserve and publish research data. It is built on Dataverse, an open source web application developed at Harvard’s Institute for Quantitative Social Science. Using Dataverse architecture, the repository hosts multiple "dataverses". Each dataverse contains datasets; while each dataset may contain multiple data files and the corresponding descriptive metadata.

CIRAD Dataverse

Données de recherche du CIRAD

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The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.

RODARE

Rossendorf Data Repository

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Rodare is the institutional research data repository at HZDR (Helmholtz-Zentrum Dresden-Rossendorf). Rodare allows HZDR researchers to upload their research software and data and enrich those with metadata to make them findable, accessible, interoperable and retrievable (FAIR). By publishing all associated research software and data via Rodare research reproducibility can be improved. Uploads receive a Digital Object Identfier (DOI) and can be harvested via a OAI-PMH interface.

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.

DataShare: the Open Data Repository of Iowa State University

ISU's Open Data Repository

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Iowa State University’s DataShare is an open access repository for sharing and publishing research data created by Iowa State University scholars and researchers.

openICPSR

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A service of the Inter-university Consortium for Political and Social Research (ICPSR), openICPSR is a self-publishing repository for social, behavioral, and health sciences research data. openICPSR is particularly well-suited for the deposit of replication data sets for researchers who need to publish their raw data associated with a journal article so that other researchers can replicate their findings.

Network Data Exchange

NDEx

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The NDEx Project provides an open-source framework where scientists and organizations can share, store, manipulate, and publish biological network knowledge. The NDEx Project maintains a free, public website; alternatively, users can also decide to run their own copies of the NDEx Server software in cases where the stored networks must be kept in a highly secure environment (such as for HIPAA compliance) or where high application load is incompatible with a shared public resource.

CSISA Data Repository

Cereal Systems Initiative for South Asia (CSISA) Research Data

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In keeping with the open data policies of the U.S. Agency for International Development (USAID) and Bill & Melinda Gates Foundation, the Cereal Systems Initiative for South Asia (CSISA) has launched the CSISA Data Repository to ensure public accessibility to key data sets, including crop cut data- directly observed, crop yield estimates, on-station and on-farm research trial data and socioeconomic surveys. CSISA is a science-driven and impact-oriented regional initiative for increasing the productivity of cereal-based cropping systems in Bangladesh, India and Nepal, thus improving food security and farmers’ livelihoods. CSISA generates data that is of value and interest to a diverse audience of researchers, policymakers and the public. CSISA’s data repository is hosted on Dataverse, an open source web application developed at Harvard University to share, preserve, cite, explore and analyze research data. CSISA’s repository contains rich datasets, including on-station trial data from 2009–17 about crop and resource management practices for sustainable future cereal-based cropping systems. Collection of this data occurred during the long-term, on-station research trials conducted at the Indian Council of Agricultural Research – Research Complex for the Eastern Region in Bihar, India. The data include information on agronomic management for the sustainable intensification of cropping systems, mechanization, diversification, futuristic approaches to sustainable intensification, long-term effects of conservation agriculture practices on soil health and the pest spectrum. Additional trial data in the repository includes nutrient omission plot technique trials from Bihar, eastern Uttar Pradesh and Odisha, India, covering 2012–15, which help determine the indigenous nutrient supplying ability of the soil. This data helps develop precision nutrient management approaches that would be most effective in different types of soils. CSISA’s most popular dataset thus far includes crop cut data on maize in Odisha, India and rice in Nepal. Crop cut datasets provide ground-truthed yield estimates, as well as valuable information on relevant agronomic and socioeconomic practices affecting production practices and yield. A variety of research data on wheat systems are also available from Bangladesh and India. Additional crop cut data will also be coming online soon. Cropping system-related data and socioeconomic data are in the repository, some of which are cross-listed with a Dataverse run by the International Food Policy Research Institute. The socioeconomic datasets contain baseline information that is crucial for technology targeting, as well as to assess the adoption and performance of CSISA-supported technologies under smallholder farmers’ constrained conditions, representing the ultimate litmus test of their potential for change at scale. Other highly interesting datasets include farm composition and productive trajectory information, based on a 20-year panel dataset, and numerous wheat crop cut and maize nutrient omission trial data from across Bangladesh.

Health Atlas

Leipzig Health Atlas

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The Health Atlas is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research projects from the partner institutions.

Climate Data Gateway at NCAR

NCAR Climate Data Gateway

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The NCAR Climate Data Gateway provides data discovery and access services for global and regional climate model data, knowledge, and software. The NCAR Climate Data Gateway supports community access to data products from many of NCAR's community modeling efforts, including the IPCC, PCM, AMPS, CESM, NARCCAP, and NMME activities. Data products are generally open and available, however, download access may require a login.

Base de Dados Científicos da Universidade Federal do Paraná

BDC Universidade Federal do Paraná

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The Scientific Database of the Federal University of Paraná aims to gather the scientific data used in the researches that were published by the UFPR community in theses, dissertations, journal articles, and other bibliographic materials. BDC joins RDI / UFPR as an innovative service that tracks the worldwide trend in research planning, management, production, organization, storage, dissemination and reuse. The availability of research data contributes to the transparency and optimization of scientific production through the reuse of data sets and the possibility of new analyzes and approaches

Energy Data eXchange

EDX

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The Energy Data eXchange (EDX) is an online collection of capabilities and resources that advance research and customize energy-related needs. EDX is developed and maintained by NETL-RIC researchers and technical computing teams to support private collaboration for ongoing research efforts, and tech transfer of finalized DOE NETL research products. EDX supports NETL-affiliated research by: Coordinating historical and current data and information from a wide variety of sources to facilitate access to research that crosscuts multiple NETL projects/programs; Providing external access to technical products and data published by NETL-affiliated research teams; Collaborating with a variety of organizations and institutions in a secure environment through EDX’s ;Collaborative Workspaces

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.

LEPR - Library of Experimental Phase Relations

Library of Experimental Phase Relations and Trace element Distribution experimental database

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LEPR is a database of results of published experimental studies involving liquid-solid phase equilibria relevant to natural magmatic systems. TraceDs is a database of experimental studies involving trace element distribution between liquid, solid and fluid phases.

Community Surface Dynamics Modeling System

CSDMS

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CSDMS is a virtual home for a vibrant and growing community of about 1,000 international modeling experts and students who study the dynamic interactions of lithosphere, hydrosphere, cryosphere, and atmosphere at Earth’s surface. Participating in cross-disciplinary groups, members develop integrated software modules that predict the movement of water, sediment, and nutrients across landscapes and into the ocean. We share an open library of models, software, and access to high-performance computing. We also share knowledge that helps create higher-resolution simulations, often involving higher complexity algorithms. Together, we support the discovery, use, and conservation of natural resources; mitigation of natural hazards; geotechnical support of commercial and infrastructure development; environmental stewardship; and terrestrial surveillance for global security.

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.

University of Adelaide figshare

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Figshare has been chosen as the University of Adelaide's official data and digital object repository with unlimited local storage. All current staff and HDR students can access and publish research data and digital objects on the University of Adelaide's Figshare site. Because Figshare is cloud-based, you can access it anywhere and at any time.

AmphibiaWeb

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AmphibiaWeb is an online system enabling any user to search and retrieve information relating to amphibian biology and conservation. This site was motivated by the global declines of amphibians, the study of which has been hindered by the lack of multidisplinary studies and a lack of coordination in monitoring, in field studies, and in lab studies. We hope AmphibiaWeb will encourage a shared vision to collaboratively face the challenge of global amphibian declines and the conservation of remaining amphibians and their habitats.