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Found 13 result(s)

OpenML

Open Machine Learning

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OpenML is an open ecosystem for machine learning. By organizing all resources and results online, research becomes more efficient, useful and fun. OpenML is a platform to share detailed experimental results with the community at large and organize them for future reuse. Moreover, it will be directly integrated in today’s most popular data mining tools (for now: R, KNIME, RapidMiner and WEKA). Such an easy and free exchange of experiments has tremendous potential to speed up machine learning research, to engender larger, more detailed studies and to offer accurate advice to practitioners. Finally, it will also be a valuable resource for education in machine learning and data mining.

British Geological Survey

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The British Geological Survey (BGS), the world’s oldest national geological survey, has over 400 datasets including environmental monitoring data, digital databases, physical collections (borehole core, rocks, minerals and fossils), records and archives.

CanGEM

Cancer GEnome Mine

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>>>!!!<<<As stated 2017-05-23 Cancer GEnome Mine is no longer available >>>!!!<<< Cancer GEnome Mine is a public database for storing clinical information about tumor samples and microarray data, with emphasis on array comparative genomic hybridization (aCGH) and data mining of gene copy number changes.

India Environment Portal

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The India Environment Portal provides open access to information about environmental and developmental issues in India. The Portal aggregates and presents data from research institutions, government bodies, NGOs, universities, the mass media, and experts across various issues of environmental management.

Open Government Data Portal of Odisha

Odisha Open Government Data Portal

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It is a platform for supporting Open Data initiative of Government of Odisha, intends to publish datasets collected by them for public use. It also supports widely used file formats that are suitable for machine processing, thus gives avenues for many more innovative uses of Government Data in different perspective. This portal has been created under Software as A Service (SaaS) model of Open Government Data (OGD) Platform India of NIC. The data available in the portal are owned by various Departments/Organization of Government of Odisha. It follows principles on which data sharing and accessibility need to be based include: Openness, Flexibility, Transparency, Quality, Security and Machine-readable.

TERENO Data Discovery Portal

Terrestrial Environmental Observatories Data Discovery Portal

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This portal applicaton brings together the data collected and published via OGC Web-services from the individual observatories and provides access of the data to the public. Therefore, it serves as a database node to provide scientists and decision makers with reliable and well accessible data and data products.

Digital Repository NM EPSCoR

Formerly:NM EPSCoR Data Portal

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Repository for New Mexico Experimental Program to Stimulate Competitive Research Data Collection. Provides access to data generated by the Energize New Mexico project as well as data gathered in our previous project that focused on Climate Change Impacts (RII 3). NM EPSCoR contributes its data to the DataONE network as a member node: https://search.dataone.org/#profile/NMEPSCOR Digital Repository NM EPSCoR is part of UNM Digital Repository https://digitalrepository.unm.edu/ see also: https://data.nmepscor.org/

National Mine Map Repository

NMMR

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The National Mine Map Repository (NMMR) collects, maintains, and provides U.S. coal and non-coal mine maps to individuals, public and private sectors. NMMR mine maps and data are searchable and indexed by state, county, company name, and mine name. Accessing NMMR mine maps and data requires contacting NMMR. NMMR has a diverse customer population and has provided data to efforts supporting industrial and commercial development, highway construction, and the preservation of public health, safety and welfare.

Repozytorium Uniwersytetu Przyrodniczego we Wrocławiu

Repository of Wrocław University of Environmental and Life Sciences

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Base of Knowledge Wrocław University of Environmental and Life Sciences / Research Data Repository is an institutional open research data repository, offering the possibility to deposit datasets (as well as publications) created by researchers, PhD candidates and students of Wrocław University of Environmental and Life Sciences. It is intended for scientific data from the disciplines related to the University’s profile. It is a platform where research data can be safely collected, stored and openly shared with others, obtaining a permanent Digital Object Identifier (DOI) for each dataset and choosing a data usage license. Research Data Repository applies the FAIR Principles (data is findable, accessible, interoperable and reusable).

Cell Centered Database

CCDB

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>>> !!!!! The Cell Centered Database is no longer on serice. It has been merged with "Cell image library": https://www.re3data.org/repository/r3d100000023 !!!!! <<<<

National Freshwater Genetic Resource Center

国家淡水水产种质资源库

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National freshwater aquatic germplasm repository, competent department: Ministry of Agriculture and Rural Affairs, relying unit: China Academy of Fisheries Science. By the Heilongjiang Fisheries Research Institute, Yangtze River Fisheries Research Institute, Freshwater Fisheries Research Center, Pearl River Fisheries Research Institute, Fisheries Machinery and Instruments Research Institute and Shanghai Ocean University 6 units. Relying on the unit's outstanding ability to informatization of resources, the establishment of an advanced system, functional, stable operation, high visibility in the field of portal, can carry out deep mining and digital processing of freshwater aquatic germplasm resources information. The co-construction unit has relatively complete functional laboratory, preservation library and base facilities, with the hardware conditions to provide knowledge-based and professional services of freshwater aquatic germplasm resources. The participants have many years of experience in the collection and integration of freshwater aquatic germplasm resources, with solid professional background and outstanding business ability, which can improve the depth and breadth of integration and utilization of freshwater aquatic germplasm resources.

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).

Global Terrestrial Network for Permafrost

GTN-P Database

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The GTN-P database is an object-related database open for a diverse range of data. Because of the complexity of the PAGE21 project, data provided in the GTN-P management system are extremely diverse, ranging from active-layer thickness measurements once per year to flux measurement every second and everthing else in between. The data can be assigned to two broad categories: Quantitative data which is all data that can be measured numerically. Quantitative data comprise all in situ measurements, i.e. permafrost temperatures and active layer thickness (mechanical probing, frost/thaw tubes, soil temperature profiles). Qualitative data (knowledge products) are observations not based on measurements, such as observations on soils, vegetation, relief, etc.