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Found 45 result(s)
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The GeoPortal.rlp allows the central search and visualization of geo data. Inside the geo data infrastructure of Rhineland-Palatinate the GeoPortal.rlp inherit the central duty a service orientated branch exchange between user and offerer of geo data. The GeoPortal.rlp establishes the access to geo data over the electronic network. The GeoPortal.rlp was brought on line on January, 8th 2007 for the first time, on February, 2nd 2011 it occured a site-relaunch.
>>>!!!<<< 2019-01: Global Land Cover Facility goes offline see https://spatialreserves.wordpress.com/2019/01/07/global-land-cover-facility-goes-offline/ ; no more access to http://www.landcover.org >>>!!!<<< The Global Land Cover Facility (GLCF) provides earth science data and products to help everyone to better understand global environmental systems. In particular, the GLCF develops and distributes remotely sensed satellite data and products that explain land cover from the local to global scales.
WorldData.AI comes with a built-in workspace – the next-generation hyper-computing platform powered by a library of 3.3 billion curated external trends. WorldData.AI allows you to save your models in its “My Models Trained” section. You can make your models public and share them on social media with interesting images, model features, summary statistics, and feature comparisons. Empower others to leverage your models. For example, if you have discovered a previously unknown impact of interest rates on new-housing demand, you may want to share it through “My Models Trained.” Upload your data and combine it with external trends to build, train, and deploy predictive models with one click! WorldData.AI inspects your raw data, applies feature processors, chooses the best set of algorithms, trains and tunes multiple models, and then ranks model performance.
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The German Socio-Economic Panel Study (SOEP) is a wide-ranging representative longitudinal study of private households, located at the German Institute for Economic Research, DIW Berlin. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators.
The Roper Center has made available its entire collection of Primary exit polls. Primary exit polls datasets include standard demographic makeup of interviewee and questions pertinent to the issues of each state.
The University has followed all of the children born in Aberdeen in 1921, 1936, and 1950-1956 as they grow and age. Collectively these groups are known as the ABERDEEN BIRTH COHORTS, and are a jewel in the crown of Scottish health research and have helped to advance our understanding of aging well. The Children of the 1950s study is a population-based resource for the study of biological and social influences on health across the life-course and between generations.
The ZINC Database contains commercially available compounds for structure based virtual screening. It currently has compounds that can simply be purchased. It is provided in ready-to-dock, 3D formats with molecules represented in biologically relevant forms. It is available in subsets for general screening as well as target-, chemotype- and vendor-focused subsets. ZINC is free for everyone to use and download at the website zinc.docking.org.
>>>!!!<<< On June 1, 2020, the Academic Seismic Portal repositories at UTIG were merged into a single collection hosted at Lamont-Doherty Earth Observatory. Content here was removed July 1, 2020. Visit the Academic Seismic Portal @LDEO! https://www.marine-geo.org/collections/#!/collection/Seismic#summary (https://www.re3data.org/repository/r3d100010644) >>>!!!<<<
The Cross-National Equivalent File (CNEF) contains population panel data from Australia, Canada, Germany, Great Britain, Korea, Russia, Switzerland and the United States. Each of these countries undertakes a longitudinal household economic survey. The data are made equivalent, providing a reference dataset which cross-links each of the individual studies and allowing cross-national comparisons.
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Survey of India, The National Survey and Mapping Organization of the country under the Department of Science & Technology, is the OLDEST SCIENTIFIC DEPARTMENT OF THE GOVT. OF INDIA. It was set up in 1767 and has evolved rich traditions over the years. In its assigned role as the nation's Principal Mapping Agency, Survey of India bears a special responsibility to ensure that the country's domain is explored and mapped suitably, provide base maps for expeditious and integrated development and ensure that all resources contribute with their full measure to the progress, prosperity and security of our country now and for generations to come. The history of the Survey of India dates back to the 18th Century. Forerunners of army of the East India Company and Surveyors had an onerous task of exploring the unknown. Bit by bit the tapestry of Indian terrain was completed by the painstaking efforts of a distinguished line of Surveyors such as Mr. Lambton and Sir George Everest. It is a tribute to the foresight of such Surveyors that at the time of independence the country inherited a survey network built on scientific principles. The great Trigonometric series spanning the country from North to South East to West are some of the best geodetic control series available in the world. The scientific principles of surveying have since been augmented by the latest technology to meet the multidisciplinary requirement of data from planners and scientists. Organized into only 5 Directorates in 1950, mainly to look after the mapping needs of Defense Forces in North West and North East, the Department has now grown into 22 Directorates spread in approx. all parts (states) of the country to provide the basic map coverage required for the development of the country. Its technology, latest in the world, has been oriented to meet the needs of defense forces, planners and scientists in the field of geo-sciences, land and resource management. Its expert advice is being utilized by various Ministries and undertakings of Govt. of India in many sensitive areas including settlement of International borders, State boundaries and in assisting planned development of hitherto under developed areas. Faced with the requirement of digital topographical data, the department has created three Digital Centers during late eighties to generate Digital Topographical Data Base for the entire country for use in various planning processes and creation of geographic information system. Its specialized Directorates such as Geodetic and Research Branch, and Indian Institute of Surveying & Mapping (erstwhile Survey Training Institute) have been further strengthened to meet the growing requirement of user community. The department is also assisting in many scientific programs of the Nation related to the field of geo-physics, remote sensing and digital data transfers.
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BenchSci is a free platform designed to help biomedical research scientists quickly and easily identify validated antibodies from publications. Using various filters including techniques, tissue, cell lines, and more, scientists can find out published data along with the antibody that match specific experimental contexts within seconds. Free registration & access for academic research scientists.
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Health Data Nova Scotia (HDNS), is a data repository based in the Faculty of Medicine's, Department of Community Health and Epidemiology at Dalhousie University, focused on supporting data driven research for a healthier Nova Scotia. HDNS facilitates research and innovation in Nova Scotia by providing access to linkable administrative health data and analysis for research and health service assessment purposes in a secure, controlled environment, while respecting the privacy and confidentiality of Nova Scotians.
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Over 1000 detailed, fully referenced and verified datasets for steels, aluminium and titanium alloys, cast irons/steels, weld metals. Materials can be searched according to a number of different criteria. Initial search results are presented in the form of a table from which they can be selected for presentation in form of detailed report or for comparison overview (up to 5 materials). In addition to material information and values of properties/parameters, images of microstructure, specimens and those of stress-strain, stress- and strain-life curves (if available) can be reviewed as well.
An increasing number of Language Resources (LT) in the various fields of Human Language Technology (HLT) are distributed on behalf of ELRA via its operational body ELDA, thanks to the contribution of various players of the HLT community. Our aim is to provide Language Resources, by means of this repository, so as to prevent researchers and developers from investing efforts to rebuild resources which already exist as well as help them identify and access those resources.
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.
The aim of the project is systematic mapping of Czech and other languages in comparison with Czech. CNC corpora are accessible to everybody interested in studying the language after free registration.
The NCMA maintains the largest and most diverse collection of publically available marine algal strains in the world. The algal strains in the collection have been obtained from all over the world, from polar to tropical waters, marine, freshwater, brackish, and hyper-saline environments. New strains (50 - 100 per year) are added largely through the accession of strains deposited by scientists in the community. A stringent accession policy is required to help populate the collection with a diverse range of strains.
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Numerous studies on gender relations and gender equality policy in academia regularly produce research data that could be useful for a secondary analysis and for other research topics. At present, only a small amount of research data that was explicitly collected on gender relations in academia is archived. Long-term surveys such as graduate studies or social surveys on students are also available to be used in gender-specific studies. CEWS would like to support researchers in their search for research data and at the same time motivate them to archive data from their own projects and thus make them accessible to other researchers by providing search options at GESIS and other data-providing institutions as well as basic information on data archiving.
BrainMaps.org, launched in May 2005, is an interactive multiresolution next-generation brain atlas that is based on over 20 million megapixels of sub-micron resolution, annotated, scanned images of serial sections of both primate and non-primate brains and that is integrated with a high-speed database for querying and retrieving data about brain structure and function over the internet. Currently featured are complete brain atlas datasets for various species, including Macaca mulatta, Chlorocebus aethiops, Felis catus, Mus musculus, Rattus norvegicus, and Tyto alba.
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Tallinn University of Technology Data Repository (TalTechData) is a storage space for researchers to deposit data sets associated with their research. The main goal of TalTechData is to gather all fields of research data and encouraging open science and FAIR principles (Findable, Accessible, Interoperable and Reusable). Through preserving open research data TalTechData enriches academic quality and collaboration, supports innovative developments and supports overall use of scientific materials.
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The population-based cancer registries in each German federal state transfer data to the German Centre for Cancer Registry Data, as required by the Federal Cancer Registry Data Act. These data are combined, quality-checked, analysed and evaluated, and the results published in collaboration with the public health institutions of the federal states.
The MPC is responsible for the designation of minor bodies in the solar system: minor planets; comets, in conjunction with the Central Bureau for Astronomical Telegrams (CBAT); and natural satellites (also in conjunction with CBAT). The MPC is also responsible for the efficient collection, computation, checking and dissemination of astrometric observations and orbits for minor planets and comets
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.
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sciencedata.dk is a research data store provided by DTU, the Danish Technical University, specifically aimed at researchers and scientists at Danish academic institutions. The service is intended for working with and sharing active research data as well as for safekeeping of large datasets. The data can be accessed and manipulated via a web interface, synchronization clients, file transfer clients or the command line. The service is built on and with open-source software from the ground up: FreeBSD, ZFS, Apache, PHP, ownCloud/Nextcloud. DTU is actively engaged in community efforts on developing research-specific functionality for data stores. Our servers are attached directly to the 10-Gigabit backbone of "Forskningsnettet" (the National Research and Education Network of Denmark) - implying that up and download speed from Danish academic institutions is in principle comparable to those of an external USB hard drive. Data store for research data allowing private sharing and sharing via links / persistent URLs.
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The "Database for Spoken German (DGD)" is a corpus management system in the program area Oral Corpora of the Institute for German Language (IDS). It has been online since the beginning of 2012 and since mid-2014 replaces the spoken German database, which was developed in the "Deutsches Spracharchiv (DSAv)" of the IDS. After single registration, the DGD offers external users a web-based access to selected parts of the collection of the "Archive Spoken German (AGD)" for use in research and teaching. The selection of the data for external use depends on the consent of the respective data provider, who in turn must have the appropriate usage and exploitation rights. Also relevant to the selection are certain protection needs of the archive. The Archive for Spoken German (AGD) collects and archives data of spoken German in interactions (conversation corpora) and data of domestic and non-domestic varieties of German (variation corpora). Currently, the AGD hosts around 50 corpora comprising more than 15000 audio and 500 video recordings amounting to around 5000 hours of recorded material with more than 7000 transcripts. With the Research and Teaching Corpus of Spoken German (FOLK) the AGD is also compiling an extensive German conversation corpus of its own. !!! Access to data of Datenbank Gesprochenes Deutsch (DGD) is also provided by: IDS Repository https://www.re3data.org/repository/r3d100010382 !!!