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Found 41 result(s)
The Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system was developed to share data across the entire TBI research field and to facilitate collaboration between laboratories, as well as interconnectivity with other informatics platforms. Sharing data, methodologies, and associated tools, rather than summaries or interpretations of this information, can accelerate research progress by allowing re-analysis of data, as well as re-aggregation, integration, and rigorous comparison with other data, tools, and methods. This community-wide sharing requires common data definitions and standards, as well as comprehensive and coherent informatics approaches.
ICARUS is an open access, searchable, web-based infrastructure for storing, sharing, and utilizing atmospheric simulation chamber data. Atmospheric simulation chambers (sometimes called "smog chambers", environmental chambers, flow tubes, and continuously stirred reactors) are indispensable tools for atmospheric chemistry and physics research. The fundamental kinetic, mechanistic, or physical results from atmospheric chambers integrate into chemical transport models and inform scientific decision making. The data available in ICARUS are highly curated, uniform, and freely available to researchers, policy makers, and the general public worldwide.
<<<!!!<<< The repository is no longer available. >>>!!!>>> Selected TOXMAP data can be accesse from the following sites: U.S. EPA Toxics Release Program (TRI) (https://www.epa.gov/toxics-release-inventory-tri-program) U.S. EPA Superfund Program (https://www.epa.gov/superfund) U.S. EPA Facilities Registry System (FRS) (https://www.epa.gov/frs) U.S. EPA Clean Air Markets Program (https://www.epa.gov/airmarkets) U.S. EPA Geospatial Applications (https://www.epa.gov/geospatial/epa-geospatial-applications) U.S. NIH NCI Surveillance, Epidemiology, and End Results Program (SEER) (https://seer.cancer.gov/) Government of Canada National Pollutant Release Inventory (NPRI) (https://www.canada.ca/en/services/environment/pollution-waste-management/national-pollutant-release-inventory.html) U.S. Census Bureau (https://www.census.gov/) U.S. Nuclear Regulatory Commission (NRC) (https://www.nrc.gov/) >>>!!!>>>
!!! >>> the repository is offline, data can be found here: https://osf.io/gjp53/ <<< !!! Our lab investigates how cognition manifests in, and is influenced by, the social contexts in which it occurs. We focus: 1) on how conversational interactions can reshape memory, by promoting shared remembering and shared forgetting, and 2) on how socio-cognitive processes affect the formation of collective memories and beliefs, and the dynamics of collective decisions. In exploring these issues, while maintaining high ecological validity, our lab integrates a wide range of methodologies, including laboratory experiments, field studies, social network analysis, and agent-based simulations.
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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. >>>!!!<<<
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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/.
This site offers an enormous collection of photographs of wild species and natural history objects. It covers most groups of organisms with the exception of birds and other vertebrates. The photographs are presented to illustrate biodiversity and as an aid to identification. The criterion for inclusion of a species is that it must have been, or might be expected to be, found in Britain or Ireland. BioImages follows the biological classification. Biota is a hierarchical system with species grouped in genera, genera in families, families in orders and so on up to kingdoms and superkingdoms. The datasets are linked to bioinfo: food webs and species interactions in the Biodiversity of UK and Ireland.
This library is a public and easily accessible resource database of images, videos, and animations of cells, capturing a wide diversity of organisms, cell types, and cellular processes. The Cell Image Library has been merged with "Cell Centered Database" in 2017. The purpose of the database is to advance research on cellular activity, with the ultimate goal of improving human health.
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The German Central Health Study Hub is a platform that serves two different kinds of users. First, it allows scientists and data holding organizations (data producers) to publish their project characteristics, documents and data related to their research endeavour in a FAIR manner. Obviously, patient-level data cannot be shared publicly, however, metadata describing the patient-level data along with information about data access can be shared via the platform (preservation description information). The other kind of user is a scientist or researcher (data consumer) that likes to find information about past and ongoing studies and is interested in reusing existing patient-level data for their project. To summarize, the platforms connect data providers with data consumers in the domain of clinical, public health and epidemiologic health research to foster reuse. The platform aggregates and harmonizes information already entered in various public repositories such as DRKS, clinicaltrials.gov, WHO ICTRP to provide a holistic view of the German research landscape in the aforementioned research areas. In addition, data stewards actively collect available information from (public) resources such as websites that cannot be automatically integrated. The service started during the COVID-19 pandemic.
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"IndExs" is a database comprising information on exsiccatae (=exsiccatal series) with titles, abbreviations, bibliography and provides a unique and persistent Exsiccata ID for each series. Exsiccatae are defined as "published, uniform, numbered sets of preserved specimens distributed with printed labels" (Pfister 1985). Please note that there are two similar latin terms: "exsiccata, ae" is feminine and used for a set of dried specimens as defined above, whereas the term "exsiccatum, i" is neutral and used for dried specimens in general. If available, images of one or more examplary labels are added to give layout information.
By stimulating inspiring research and producing innovative tools, Huygens ING intends to open up old and inaccessible sources, and to understand them better. Huygens INGā€™s focus is on Digital Humanities, History, History of Science, and Textual Scholarship. Huygens ING pursues research in the fields of History, Literary Studies, the History of Science and Digital Humanities. Huygens ING aims to publish digital sources and data responsibly and with care. Innovative tools are made as widely available as possible. We strive to share the available knowledge at the institute with both academic peers and the wider public.
The RĆ©pertoire International des Sources Musicales (RISM) - International Inventory of Musical Sources - is an international, non-profit organization that aims to comprehensively document extant musical sources worldwide. These primary sources are music manuscripts or printed music editions, writings on music theory, and libretti. They are preserved in libraries, archives, churches, schools and private collections. RISM was founded in Paris in 1952 and is the largest and only international organization that documents written musical sources. RISM records what exists and where it can be found. As a result, by virtue of being cataloged in a comprehensive inventory, music traditions are protected while also being made available to musicologists and musicians alike. Such work is thus not an end in itself, but leads directly to practical applications.
AmeriFlux is a network of PI-managed sites measuring ecosystem CO2, water, and energy fluxes in North, Central and South America. It was established to connect research on field sites representing major climate and ecological biomes, including tundra, grasslands, savanna, crops, and conifer, deciduous, and tropical forests. As a grassroots, investigator-driven network, the AmeriFlux community has tailored instrumentation to suit each unique ecosystem. This ā€œcoalition of the willingā€ is diverse in its interests, use of technologies and collaborative approaches. As a result, the AmeriFlux Network continually pioneers new ground.
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The Research Data Repository of the University of Mannheim invites all researchers and faculty of the University of Mannheim to archive their research data here in order to make it accessible through the Internet. All archived data sets receive DOIs (Digital Object Identifier) to make them accessible and citable. Using this repository is free of charge.
DataStorre is an online digital repository of multi-disciplinary research datasets produced at the University of Stirling. University of Stirling 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.
Here you can find out more about Lancasterā€™s world-class research activities, view details of publications, outputs and awards and make contact with our researchers.
The Linguistic Data Consortium (LDC) is an open consortium of universities, libraries, corporations and government research laboratories. It was formed in 1992 to address the critical data shortage then facing language technology research and development. Initially, LDC's primary role was as a repository and distribution point for language resources. Since that time, and with the help of its members, LDC has grown into an organization that creates and distributes a wide array of language resources. LDC also supports sponsored research programs and language-based technology evaluations by providing resources and contributing organizational expertise. LDC is hosted by the University of Pennsylvania and is a center within the Universityā€™s School of Arts and Sciences.
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A machine learning data repository with interactive visual analytic techniques. This project is the first to combine the notion of a data repository with real-time visual analytics for interactive data mining and exploratory analysis on the web. State-of-the-art statistical techniques are combined with real-time data visualization giving the ability for researchers to seamlessly find, explore, understand, and discover key insights in a large number of public donated data sets. This large comprehensive collection of data is useful for making significant research findings as well as benchmark data sets for a wide variety of applications and domains and includes relational, attributed, heterogeneous, streaming, spatial, and time series data as well as non-relational machine learning data. All data sets are easily downloaded into a standard consistent format. We also have built a multi-level interactive visual analytics engine that allows users to visualize and interactively explore the data in a free-flowing manner.
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Harmonia universalis is a prosopographical database gathering data on the actors of the mesmerist movement at the end of the 18th century. The Harmonia Universalis database is designed as a space for exchange and sharing between researchers and enthusiasts. Any interested person can participate in its realization by contacting the administrators of the database. They will then be able to enter directly on line the information they wish to introduce. These will be integrated into the database after confirmation by the administrators.
Digital Rocks is a data portal for fast storage and retrieval of images of varied porous micro-structures. It has the purpose of enhancing research resources for modeling/prediction of porous material properties in the fields of Petroleum, Civil and Environmental Engineering as well as Geology. This platform allows managing and preserving available images of porous materials and experiments performed on them, and any accompanying measurements (porosity, capillary pressure, permeability, electrical, NMR and elastic properties, etc.) required for both validation on modeling approaches and the upscaling and building of larger (hydro)geological models. Starting September 2021 we charge fees for publishing larger projects; projects < 2GB remain free: see user agreement https://www.digitalrocksportal.org/user-agreement/
The Research Data Center PIAAC (RDC PIAAC) has been accredited by the German Data Forum (RatSWD). The RDC PIAAC makes research data accessible to the scientific community and offers advice to the users. The RDC PIAAC provides German and international datasets in the educational field focusing on the adult population, especially on the Programme for the International Assessment of Adult Competencies (PIAAC).
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The Dutch Trial Register (LTR) is a register in which a part of the clinical studies in The Netherlands are registered. This currently includes all data from the former National Trial Register (NTR).
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The database contains numerical data on atomic and molecular collisions, radiative processes and various other material properties of specific use in fusion and plasma research. Searching the database produces bibliographic results linking to the research paper containing the data of interest. Searches can be performed based on a variety of parameters including reactants, surface of interest, data type; or by date, journal or author.
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RADAR4Culture is a low-threshold and easy-to use service for sustainable publication and preservation of cultural heritage research data. It offers free publication for any data type and format according to the FAIR principles, independent of the researcherĀ“s institutional affiliation. Through persistent identifiers (DOI) and a guaranteed retention period of at least 25 years, the research data remain available, citable and findable long-term. Currently, the offer is aimed exclusively at researchers at publicly funded research institutions and (art) universities as well as non-commercial academies, galleries, libraries, archives and museums in Germany. No contract is required and no data publication fees are charged. The researchers are responsible for the upload, organisation, annotation and curation of research data as well as the peer-review process (as an optional step) and finally their publication.