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Found 493 result(s)
The History Data Service data collection brings together over 650 separate studies transcribed, scanned or compiled from historical sources. The studies cover a wide range of historical topics, from the seventh century to the twentieth century. Although the primary focus of the collection is on the United Kingdom, it also includes a significant body of cross-national and international data collections. Examples of topics covered include: nineteenth and twentieth century statistics, manuscript census records, state finance data, demographic data, mortality data, community histories, electoral history and economic indicators.
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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.
ScholarsArchive@OSU is Oregon State University's digital service for gathering, indexing, making available and storing the scholarly work of the Oregon State University community. It also includes materials from outside the institution in support of the university's land, sun, sea and space grant missions and other research interests.
MINDS@UW is designed to gather, distribute, and preserve digital materials related to the University of Wisconsin's research and instructional mission. Content, which is deposited directly by UW faculty and staff, may include research papers and reports, pre-prints and post-prints, datasets and other primary research materials, learning objects, theses, student projects, conference papers and presentations, and other born-digital or digitized research and instructional materials.
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The Digital Repository of Ireland is a national trusted digital repository for Ireland's social and cultural data. The repository links together and preserves both historical and contemporary data held by Irish institutions, providing a central internet access point and interactive multimedia tools. As a national e-infrastructure for the future of education and research in the humanities and social sciences, DRI is available for use by the public, students and scholars.
The Brown Digital Repository (BDR) is a place to gather, index, store, preserve, and make available digital assets produced via the scholarly, instructional, research, and administrative activities at Brown.
The GDR is the submission point for all data collected from researchers funded by the U.S. Department of Energy's Geothermal Technologies Office. It was established to receive, manage and make available all geothermal-relevant data generated from projects funded by the DOE Geothermal Technologies Office. This includes data from GTO-funded projects associated with any portion of the geothermal project life-cycle (exploration, development, operation), as well as data produced by GTO-funded research.
The Illinois Data Bank is a public access data repository that collects, disseminates, and provides persistent and reliable access to the research data of faculty, staff, and students at the University of Illinois at Urbana-Champaign. Faculty, staff, graduate students can deposit their research data directly into the Illinois Data Bank and receive a DOI for citation purposes.
CLARINO Bergen Center repository is the repository of CLARINO, the Norwegian infrastructure project . Its goal is to implement the Norwegian part of CLARIN. The ultimate aim is to make existing and future language resources easily accessible for researchers and to bring eScience to humanities disciplines. The repository includes INESS the Norwegian Infrastructure for the Exploration of Syntax and Semantics. This infrastructure provides access to treebanks, which are databases of syntactically and semantically annotated sentences.
LINDAT/CLARIN is designed as a Czech “node” of Clarin ERIC (Common Language Resources and Technology Infrastructure). It also supports the goals of the META-NET language technology network. Both networks aim at collection, annotation, development and free sharing of language data and basic technologies between institutions and individuals both in science and in all types of research. The Clarin ERIC infrastructural project is more focused on humanities, while META-NET aims at the development of language technologies and applications. The data stored in the repository are already being used in scientific publications in the Czech Republic.
LAUDATIO aims to build an open access research data repository for historical linguistic data with respect to the above mentioned requirements of historical corpus linguistics. For the access and (re-)use of historical linguistic data the LAUDATIO repository uses a flexible and appropriate documentation schema with a subset of TEI customized by TEI ODD. The extensive metadata schema contains information about the preparation and checking methods applied to the data, tools, formats and annotation guidelines used in the project, as well as bibliographic metadata, and information on the research context (e.g. the research project). To provide complex and comprehensive search in the linguistic annotation data, the linguistic search and visualization tool ANNIS will be integrated in the LAUDATIO repository infrastructure.
The Neuroscience Information Framework is a dynamic inventory of Web-based neuroscience resources: data, materials, and tools accessible via any computer connected to the Internet. An initiative of the NIH Blueprint for Neuroscience Research, NIF advances neuroscience research by enabling discovery and access to public research data and tools worldwide through an open source, networked environment.
ICOS Carbon Portal is the data portal of the Integrated Carbon Observation System. It provides observational data from the state of the carbon cycle in Europe and the world. The Carbon Portal is the data center of the ICOS infrastructure. ICOS will collect greenhouse gas concentration and fluxes observations from three separate networks, all these observations are carried out to support research to help us understand how the Earth’s greenhouse gas balance works, because there are still many and large uncertainties!
The Square Kilometre Array (SKA) is a radio telescope with around one million square metres of collecting area, designed to study the Universe with unprecedented speed and sensitivity. The SKA is not a single telescope, but a collection of various types of antennas, called an array, to be spread over long distances. The SKA will be used to answer fundamental questions of science and about the laws of nature, such as: how did the Universe, and the stars and galaxies contained in it, form and evolve? Was Einstein’s theory of relativity correct? What is the nature of ‘dark matter’ and ‘dark energy’? What is the origin of cosmic magnetism? Is there life somewhere else in the Universe?
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The "Flora of Bavaria" initiative with its data portal (14 million occurrence data) and Wiki representation is primarily a citizen science project. Efforts to describe and monitor the flora of Bavaria have been ongoing for 100 years. The goal of these efforts is to record all vascular plants, including newcomers, and to document threatened or former local occurrences. Being geographically largest state of Germany with a broad range of habitats, Bavaria has a special responsibility for documenting and maintaining its plant diversity . About 85% of all German vascular plant species occur in Bavaria, and in addition it has about 50 endemic taxa, only known from Bavaria (most of them occur in the Alps). The Wiki is collaboration of volunteers and local and regional Bavarian botanical societies. Everybody is welcome to contribute, especially with photos or reports of local changes in the flora. The Flora of Bavaria project is providing access to a research data repository for occurrence data powered by the Diversity Workbench database framework.
The German Text Archive (Deutsches Textarchiv, DTA) presents online a selection of key German-language works in various disciplines from the 17th to 19th centuries. The electronic full-texts are indexed linguistically and the search facilities tolerate a range of spelling variants. The DTA presents German-language printed works from around 1650 to 1900 as full text and as digital facsimile. The selection of texts was made on the basis of lexicographical criteria and includes scientific or scholarly texts, texts from everyday life, and literary works. The digitalisation was made from the first edition of each work. Using the digital images of these editions, the text was first typed up manually twice (‘double keying’). To represent the structure of the text, the electronic full-text was encoded in conformity with the XML standard TEI P5. The next stages complete the linguistic analysis, i.e. the text is tokenised, lemmatised, and the parts of speech are annotated. The DTA thus presents a linguistically analysed, historical full-text corpus, available for a range of questions in corpus linguistics. Thanks to the interdisciplinary nature of the DTA Corpus, it also offers valuable source-texts for neighbouring disciplines in the humanities, and for scientists, legal scholars and economists.
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MTD is focused on mammalian transcriptomes with a current version that contains data from humans, mice, rats and pigs. Regarding the core features, the MTD browses genes based on their neighboring genomic coordinates or joint KEGG pathway and provides expression information on exons, transcripts, and genes by integrating them into a genome browser. We developed a novel nomenclature for each transcript that considers its genomic position and transcriptional features.
PharmGKB is a comprehensive resource that curates knowledge about the impact of genetic variation on drug response for clinicians and researchers. PharmGKB brings together the relevant data in a single place and adds value by combining disparate data on the same relationship, making it easier to search and easier to view the key aspects and by interpreting the data.PharmGKB provide clinical interpretations of this data, curated pathways and VIP summaries which are not found elsewhere.
The PRIDE PRoteomics IDEntifications database is a centralized, standards compliant, public data repository for proteomics data, including protein and peptide identifications, post-translational modifications and supporting spectral evidence. PRIDE encourages and welcomes direct user submissions of mass spectrometry data to be published in peer-reviewed publications.
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AMS Acta is the institutional open access repository which enables the researchers of the Alma Mater Studiorum - University of Bologna to share, preserve and showcase their scientific results making them easily accessible, citable and reusable. The repository collects and disseminates scientific publications, research data and preprints. AMS Acta is the archiving infrastructure for the University of Bologna’s researchers participating in the European programme H2020 that requires open access and the mandatory deposit of all funded peer-reviewed publications in a repository. AMS Acta collects both publications and research data so it is also a suitable archiving solution for the funded projects participating in the H2020 Open Research Data Pilot.
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.
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DISS is a georeferenced repository of tectonic, fault, and paleoseismological information expressly devoted, but not limited, to potential applications in the assessment of seismic hazard at regional and national scale.
Edinburgh DataShare is an online digital repository of multi-disciplinary research datasets produced at the University of Edinburgh, hosted by the Data Library in Information Services. Edinburgh University researchers who have produced research data associated with an existing or forthcoming publication, or which has potential use for other researchers, are invited to upload their dataset for sharing and safekeeping. A persistent identifier and suggested citation will be provided.