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Found 1114 result(s)
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BsubCyc is a model-organism database for the bacterium Bacillus subtilis and is based on the updated B. subtilis 168 genome sequence and annotation published by Barbe et al. in 2009. Gene function annotations are being updated when new literature is available.
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The Research Data Center for Higher Education Research and Science Studies (FDZ-DZHW) at the German Centre for Higher Education Research and Science Studies (DZHW) in Hannover provides the scientific community with quantitative and qualitative research data from the field of higher education and science studies for research and teaching purposes. The data pool of the Research Data Centre is based on two sources: Firstly, it contains the current surveys of the panels conducted in-house (especially DZHW Graduate Panel, Social Survey, DZHW Panel Study of School Leavers with a Higher Education Entrance Qualification, DZHW Scientists Survey), which are integrated by default. Secondly, the Research Data Centre constantly processes, documents and integrates inventory data of the DZHW and its prior organisations. External data from the research area is also integrated into the FDZ data pool.
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The Digital Collections include digitized manuscripts, prints, music, maps, photographs, newspapers and magazines from the rich holdings of the Bayerische Staatsbibliothek.
Almost the entire content (>98%) is available for download for research purposes or via IIIF APIs, including all available OCR data.
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The Database contains all publicly available HMS LINCS datasets and information for each dataset about experimental reagents (small molecule perturbagens, cells, antibodies, and proteins) and experimental and data analysis protocols.
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The Growing Up Today Study is a collaborative study between clinicians, researchers, and thousands of participants across the US and beyond. The aim of this study is to gain a deeper understanding of the factors that affect health throughout life.
Together we are working to building one of the most powerful resources for fighting cancer, obesity, heart disease, depression, and so much more.
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Ever growing search and retrieval site for a comprehensive set of Heliophysics data from NASA and other spacecraft and ground-based observatories.
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<<<!!!<<< December 2015: The All-Russia Research Institute of Hydrometeorological Information – World Data Centre (RIHMI-WDC) has closed down WDC – Rockets, Satellites and Earth Rotation (WDC – RSER) since the topics are no longer its priorities >>>!!!>>>. However, the WDS-SC is extremely pleased to learn that the data holdings of WDC – RSER have now become part of the collection of WDC – Meteorology, Obninsk (WDS Regular Member). The World Data Centre for Rockets, Satellite and Rotation of the Earth is located in Obninsk in the All-Russian Research Institute of Hydrometeorological Information World Data Centre (RIHMI-WDC). The task of the Centre is to collect and disseminate meteorological data and products worldwide and especially in Russia. Data are available from RIHMI-WDC site
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RepOD is a general-purpose repository for open research data, offering all members of the academic community in Poland the possibility to deposit their work. It is intended for scientific data from all disciplines of knowledge and in all formats. The purpose of RepOD is to create a place where research data can be safely stored and openly shared with others.
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ISDC's online service portal is an access point for all manner of geoscientific geodata, its corresponding metadata, scientific documentation and software tools. The majority of the data and information, the portal currently offers to the public, are global geomonitoring products such as satellite orbit and Earth gravity field data as well as geomagnetic and atmospheric data for the exploration. These products for Earths changing system are provided via state-of-the art retrieval techniques. The projects hosted are: CHAMP, GGP, GRACE, GNSS, GGSP, GGOS, GPS-PDR, ICGEM, TerraSAR-x (TSX-TOR) and TanDEM-X.
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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.
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The N3C Data Enclave is a secure portal containing a very large and extensive set of harmonized COVID-19 clinical electronic health record (EHR) data. The data can be accessed through a secure cloud Enclave hosted by NCATS and cannot be downloaded due to regulatory control. Broad access is available to investigators at institutions that sign a Data Use Agreements and via Data Use Requests by investigators. The N3C is a unique open, reproducible, transparent, collaborative team science initiative to leverage sensitive clinical data to expedite COVID-19 discoveries and improve health outcomes.
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The Longitudinal Aging Study Amsterdam (LASA) at the VU University and VU University Medical Centre is initiated by the Ministry of Health, Welfare and Sports in 1991 to determine predictors and consequences of ageing. LASA focuses on, physical, emotional, cognitive and social functioning in late life, the connections between these aspects, and the changes that occur in the course of time
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This website makes data available from the first round of data sharing projects that were supported by the CRCNS funding program. To enable concerted efforts in understanding the brain experimental data and other resources such as stimuli and analysis tools should be widely shared by researchers all over the world. To serve this purpose, this website provides a marketplace and discussion forum for sharing tools and data in neuroscience. To date we host experimental data sets of high quality that will be valuable for testing computational models of the brain and new analysis methods. The data include physiological recordings from sensory and memory systems, as well as eye movement data.
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<<<!!!<<< Please note that EASY has been replaced by the DANS Data Stations. Data from EASY can be discovered and accessed through the Data Stations. https://dans.knaw.nl/nl/ >>>!!!>>>
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The Research Data Centre (Forschungsdatenzentrum, FDZ) at the Institute for Educational Quality Improvement (Institut zur Qualitätsentwicklung im Bildungswesen, IQB) archives and documents data sets resulting from national and international assessment studies (such as DESI, PIRLS, PISA, IQB-Bildungstrends). Moreover, the FDZ makes these data sets available for re- and secondary analysis. Members of the scientific community can apply for access to the data sets archived at the FDZ.
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The Database explores the interactions of chemicals and proteins. It integrates information about interactions from metabolic pathways, crystal structures, binding experiments and drug-target relationships. Inferred information from phenotypic effects, text mining and chemical structure similarity is used to predict relations between chemicals. STITCH further allows exploring the network of chemical relations, also in the context of associated binding proteins.
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The Heritage Centre represents the four keepers of historical collections of the municipality of Zutphen: Archeology, Monuments, Museum Zutphen, Regional Archive Zutphen (includes the municipalities of Brummen and Lochem)
This portal means to be the online gateway to the municipal heritage in Zutphen and wants to provide you with the opportunity to search all their collections at once.
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EIDA, an initiative within ORFEUS, is a distributed data centre established to (a) securely archive seismic waveform data and related metadata, gathered by European research infrastructures, and (b) provide transparent access to the archives by the geosciences research communities.
EIDA nodes are data centres which collect and archive data from seismic networks deploying broad-band sensors, short period sensors, accelerometers, infrasound sensors and other geophysical instruments. Networks contributing data to EIDA are listed in the ORFEUS EIDA networklist (http://www.orfeus-eu.org/data/eida/networks/). Data from the ORFEUS Data Center (ODC), hosted by KNMI, are available through EIDA.
Technically, EIDA is based on an underlying architecture developed by GFZ to provide transparent access to all nodes' data. Data within the distributed archives are accessible via the ArcLink protocol (http://www.seiscomp3.org/wiki/doc/applications/arclink).
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<<<!!!<<< Duplicate to https://www.re3data.org/repository/r3d100011116 , this entry is no longer maintained >>>!!!>>>
GGOS is the Global Geodetic Observing System of the International Association of Geodesy (IAG). It provides observations of the three fundamental geodetic observables and their variations, that is, the Earth's shape, the Earth's gravity field and the Earth's rotational motion. GGOS integrates different geodetic techniques, different models, different approaches in order to ensure a long-term, precise monitoring of the geodetic observables in agreement with the Integrated Global Observing Strategy (IGOS). GGOS provides the observational basis to maintain a stable, accurate and global reference frame and in this function is crucial for all Earth observation and many practical applications.
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Thousands of circular RNAs (circRNAs) have recently been shown to be expressed in eukaryotic cells [Salzman et al. 2012, Jeck et al. 2013, Memczak et al. 2013, Salzman et al. 2013]. Here you can explore public circRNA datasets and download the custom python scripts needed to discover circRNAs in your own (ribominus) RNA-seq data.
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The World Data Center for Remote Sensing of the Atmosphere, WDC-RSAT, offers scientists and the general public free access (in the sense of a “one-stop shop”) to a continuously growing collection of atmosphere-related satellite-based data sets (ranging from raw to value added data), information products and services. Focus is on atmospheric trace gases, aerosols, dynamics, radiation, and cloud physical parameters. Complementary information and data on surface parameters (e.g. vegetation index, surface temperatures) is also provided. This is achieved either by giving access to data stored at the data center or by acting as a portal containing links to other providers.
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The International Service of Geomagnetic Indices (ISGI) is in charge of the elaboration and dissemination of geomagnetic indices, and of tables of remarkable magnetic events, based on the report of magnetic observatories distributed all over the planet, with the help of ISGI Collaborating Institutes.
The interaction between the solar wind, including plasma and interplanetary magnetic field, and the Earth's magnetosphere results in a transfer of energy and particles inside the magnetosphere. Solar wind characteristics are highly variable, and they have actually a direct influence on the shape and size of the magnetosphere, on the amount of transferred energy, and on the way this energy is dissipated. It is clear that the great diversity of sources of magnetic variations give rise to a great complexity in ground magnetic signatures.
Geomagnetic indices aim at describing the geomagnetic activity or some of its components. Each geomagnetic index is related to different phenomena occurring in the magnetosphere, ionosphere and deep in the Earth in its own unique way. The location of a measurement, the timing of the measurement and the way the index is calculated all affect the type of phenomenon the index relates to.
The IAGA endorsed geomagnetic indices and lists of remarkable geomagnetic events constitute unique temporal and spatial coverage data series homogeneous since middle of 19th century.
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The WDC has a FTP-server to distribute the PCN index derived from the geomagnetic observatory Qaanaaq (THL) and the Kp-index data products derived at the geomagnetic observatory Niemegk (NGK).
The WDC is also holding extensive archives of magnetograms and other geomagnetic observatory data products that predate the introduction of digital data recording. The material is in analogue form such as film or microfiche.
The Polar Cap index (abbreviation PC index) consists of the Polar Cap North (PCN) and the Polar Cap South (PCS) index, which are derived from magnetic measurements taken at the geomagnetic observatories Qaanaaq (THL, Greenland, +85o magnetic latitude) and Vostok (VOS, Antarctica, -83o magnetic latitude), respectively.
The idea behind these indices is to estimate the intensity of anti-sunward plasma convection in the polar caps. This convection is associated with electric Hall currents and consequent magnetic field variations perpendicular to the antisunward plasma flow (and related Hall current) which can be monitored at the Qaanaaq and Vostok magnetic observatories.
PC aims at monitoring the energy input from solar wind to the magnetosphere (loading activity). The index is constructed in such a way that it has a linear relationship with the merging Electric Field at the magnetopause; consequently PC is given in units of mV/m as for the electric field.
In August 2013, the International Association of Geomagnetism and Aeronomy (IAGA) endorsed the PC index. The endorsed PC index is accessible at pcindex.org or through WDC Copenhagen.
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The twin GRACE satellites were launched on March 17, 2002. Since that time, the GRACE Science Data System (SDS) has produced and distributed estimates of the Earth gravity field on an ongoing basis. These estimates, in conjunction with other data and models, have provided observations of terrestrial water storage changes, ice-mass variations, ocean bottom pressure changes and sea-level variations. This portal, together with PODAAC, is responsible for the distribution of the data and documentation for the GRACE project.
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Launched in December 2013, Gaia is destined to create the most accurate map yet of the Milky Way. By making accurate measurements of the positions and motions of stars in the Milky Way, it will answer questions about the origin and evolution of our home galaxy. The first data release (2016) contains three-dimensional positions and two-dimensional motions of a subset of two million stars. The second data release (2018) increases that number to over 1.6 Billion. Gaia’s measurements are as precise as planned, paving the way to a better understanding of our galaxy and its neighborhood.
The AIP hosts the Gaia data as one of the external data centers along with the main Gaia archive maintained by ESAC and provides access to the Gaia data releases as part of Gaia Data Processing and Analysis Consortium (DPAC).
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- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2024-05-20
