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Found 62 result(s)

The MaxQuant DataBase

MaxQB

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MaxQB stores and displays collections of large proteomics projects and allows joint analysis and comparison. As a first dataset is contains proteome data of 11 different human cell lines. The 11 cell line proteomes together identify proteins expressed from more than half of all human genes. For each protein of interest, expression levels estimated by label-free quantification can be visualized across the cell lines. Similarly, the expression rank order and estimated amount of each protein within each proteome are plotted.

Work With Data

The Data Library

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Work With Data functions as a data library, collecting data from multiple reliable sources and merging them altogether into one database. It focuses on access through insights, datasets and api.

The Plastics-Active Enzymes Database

PAZy

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Plastics are widely used in our economy and each year, at least 350-400 million tons are being produced at a global level. Due to poor recycling and low circular use, tens of millions of tons accumulate annually in marine and terrestrial environments. While it has become obvious that micro and macroplastics contaminate our environments recent research has identified few bacteria and fungi actively degrading plastics by enzymatic reactions. In general these are promiscuous enzymes (hydrolases) acting on low crystaline and mostly low density polymers of PET, ester-based PUR and oligomers of PA. Notably today, no enzymes have been characterized on a biochemical level for polymeric and crystaline PE, ether-based PUR, PS, PVC, PP. While many publications report on plastic degradation often, no convincing biochemical data have been published. Therefore the PAZy database lists exclusively biochemically characterized plastic-active enzymes. Predicted and putative enzymes that were not characterized on a biochemical, functional or structural level are not included in the PAZy database. The entries are manually curated.

ERDDAP

Environmental Research Division's Data Access Program

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ERDDAP is a data server that gives you a simple, consistent way to download subsets of gridded and tabular scientific datasets in common file formats and make graphs and maps. This particular ERDDAP installation has oceanographic data (for example, data from satellites and buoys).

mzCloud

Advanced mass spectral database

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mzCloud is an extensively curated database of high-resolution tandem mass spectra that are arranged into spectral trees. MS/MS and multi-stage MSn spectra were acquired at various collision energies, precursor m/z, and isolation widths using Collision-induced dissociation (CID) and Higher-energy collisional dissociation (HCD). Each raw mass spectrum was filtered and recalibrated giving rise to additional filtered and recalibrated spectral trees that are fully searchable. Besides the experimental and processed data, each database record contains the compound name with synonyms, the chemical structure, computationally and manually annotated fragments (peaks), identified adducts and multiply charged ions, molecular formulas, predicted precursor structures, detailed experimental information, peak accuracies, mass resolution, InChi, InChiKey, and other identifiers. mzCloud is a fully searchable library that allows spectra searches, tree searches, structure and substructure searches, monoisotopic mass searches, peak (m/z) searches, precursor searches, and name searches. mzCloud is free and available for public use online.

LIAS

A Global Information System for Lichenized and Non-Lichenized Ascomycetes

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LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been much enlarged. LIAS light is storing phenotypic trait data. They includes > 10,700 descriptions (about 2/3 of all known lichen species), each with up to 75 descriptors comprising 2,000 traits (descriptor states and values), including 800 secondary metabolites. 500 traits may have biological functions and more than 1,000 may have phylogenetic relevance. LIAS is thus one of the most comprehensive trait databases in organismal biology. The online interactive identification key for more than 10,700 lichens is powered by the Java applet NaviKey and has been translated into 19 languages (besides English) in cooperation with lichenologists worldwide. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications with currently >50,000 names, including the c. 12,000 accepted species and recognized synonyms. The LIAS portal contents, interfaces, and databases run on servers of the IT Center of the Bavarian Natural History Collections and are maintained there. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication. The LIAS long-term project was initiated in the early 1990s and has since been continued with funding from the DFG, the BMBF, and the EU.

National Ecological Observatory Network

NEON

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Funded by the National Science Foundation (NSF) and proudly operated by Battelle, the National Ecological Observatory Network (NEON) program provides open, continental-scale data across the United States that characterize and quantify complex, rapidly changing ecological processes. The Observatory’s comprehensive design supports greater understanding of ecological change and enables forecasting of future ecological conditions. NEON collects and processes data from field sites located across the continental U.S., Puerto Rico, and Hawaii over a 30-year timeframe. NEON provides free and open data that characterize plants, animals, soil, nutrients, freshwater, and the atmosphere. These data may be combined with external datasets or data collected by individual researchers to support the study of continental-scale ecological change.

Nuclear Data Services

NDS

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Nuclear Data Services contains atomic, molecular and nuclear data sets for the development and maintenance of nuclear technologies. It includes energy-dependent reaction probabilities (cross sections), the energy and angular distributions of reaction products for many combinations of target and projectile, and the atomic and nuclear properties of excited states, and their radioactive decay data. Their main concern is providing data required to design a modern nuclear reactor for electricity production. Approximately 11.5 million nuclear data points have been measured and compiled into computerized form.

Measures of Effective Teaching - Longitudinal Database

MET Longitudinal Database

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The Measures of Effective Teaching(MET) project is the largest study of classroom teaching ever conducted in the United States. The University of Michigan compiled the MET data and video files into a rich research collection called the MET Longitudinal Database. Approved researchers can access the restricted MET quantitative and video data using secure online technical systems. The MET Longitudinal Database consists of a Web-based application for searching the collection and viewing the videos with accompanying metadata, and a Virtual Data Enclave that provides secure remote access to the quantitative data and documentation files.

ATOMDB

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AtomDB is an atomic database useful for X-ray plasma spectral modeling. The current version of AtomDB is primarly used for modeing collisional plasmas, those where hot electrons colliding with astrophysically abundant elements and ions create X-ray emission. However, AtomDB is also useful when modeling absorption by elements and ions or even photoionized plasmas, where X-ray photons (often from a simple power-law source) interacting with elements and ions create complex spectra.

Clinical Proteomic Tumor Analysis Consortium Data Portal

CPTAC Data Portal

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The CPTAC Data Portal is the centralized repository for the dissemination of proteomic data collected by the Proteome Characterization Centers (PCCs) for the CPTAC program. The portal also hosts analyses of the mass spectrometry data (mapping of spectra to peptide sequences and protein identification) from the PCCs and from a CPTAC-sponsored common data analysis pipeline (CDAP).

CERN Open Data

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The CERN Open Data portal is the access point to a growing range of data produced through the research performed at CERN. It disseminates the preserved output from various research activities, including accompanying software and documentation which is needed to understand and analyze the data being shared.

DNAmod

DNA modification database

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Covalent DNA modifications have been found in numerous organisms and more are continually being discovered and characterized, as detection methods improve. Many of these modifications can affect the conformation of the DNA double helix, often resulting in downstream effects upon transcription factor binding. Some of these modifications have been demonstrated to be stable, while others are viewed as merely transient. DNAmod catalogues information on known DNA modifications, of which the well-known 5-methylcytosine is only one. It aims to profile modifications' properties, building upon data contained within the Chemical Entities of Biological Interest (ChEBI) database. It also provides literature citations and includes curated annotations on mapping techniques and natural occurrence information.

CanPath Portal

Canadian Partnership for Tomorrow’s Health Portal

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CanPath is Canada’s largest population health cohort and a national platform for population-level health research.It is a unique Canadian platform allowing scientists to explore the complex factors that contribute to disease. It is a deeply characterized cohort of individuals who have provided broad consent and now include two per cent of all Canadians between 30 and 74 years of age. CanPath can save researchers time — sometimes up to a decade — associated with arranging and measuring their own population samples. Researchers around the world can readily integrate CanPath data into their own studies. The standardization and harmonization of data across CanPath’s regional cohorts has been facilitated by Maelstrom Research.

NERC Data Catalogue Service

Natural Environment Research Council DCS

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The DCS allows you to search a catalogue of metadata (information describing data) to discover and gain access to NERC's data holdings and information products. The metadata are prepared to a common NERC Metadata Standard and are provided to the catalogue by the NERC Data Centres.

Gene Expression Nervous System Atlas

GENSAT

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The GENSAT project aims to map the expression of genes in the central nervous system of the mouse. It is a collection of pictorial gene expression maps of the brain and spinal cord of the mouse.

DEEMY

Determination of Ectomycorrhizae

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DEEMY is collecting descriptive data on ectomycorrhizae, including extant character descriptions and definitions. Ectomycorrhizae are mutualistic structures formed by fungi and the roots of forest trees. They are predominantly found in the temperate and boreal climate zones but occur also in humid tropic regions, as well as in soils of poor nutrition. Without mycorrhizae, trees would not be able to take up water and minerals. Ectomycorrhizae show a wide range of anatomical diversity which represents their possible function in tree nutrition and ecology. Their anatomical data, in general, allow a quick determination and provide at the same time ecologically important information about possible functions for tree nutrition.

Epidat

The Database of Jewish epigraphy

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Epidat provides the inventory, documentation, editions and presentation of epigraphical collections.

E. coli Genetic Resources at Yale

The Coli Genetic Stock Center

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The CGSC Database of E. coli genetic information includes genotypes and reference information for the strains in the CGSC collection, the names, synonyms, properties, and map position for genes, gene product information, and information on specific mutations and references to primary literature. The public version of the database includes this information and can be queried directly via this CGSC DB WebServer

Herschel Science Archive

HSA

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Herschel has been designed to observe the `cool universe'; it is observing the structure formation in the early universe, resolving the far infrared cosmic background, revealing cosmologically evolving AGN/starburst symbiosis and galaxy evolution at the epochs when most stars in the universe were formed, unveiling the physics and chemistry of the interstellar medium and its molecular clouds, the wombs of the stars, and unravelling the mechanisms governing the formation of and evolution of stars and their planetary systems, including our own solar system, putting it into context. In short, Herschel is opening a new window to study how the universe has evolved to become the universe we see today, and how our star the sun, our planet the earth, and we ourselves fit in.

VecNet

Vector-Borne Disease Network

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<<<!!!<<< The repository is no longer available. 2019-09-06: no more access to VecNet >>>!!!>>>

Canada-Nova Scotia Offshore Petroleum Board Data Management Centre

CNSOPB DMC

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The DMC is designed to provide registered users with access to non-confidential petroleum exploration and production data from offshore Nova Scotia, subject to certain conditions. The DMC is housed in the CNSOPB's Geoscience Research Centre located in Dartmouth, Nova Scotia. Initially, the DMC will manage and distribute the following digital petroleum data: well data (i.e. logs and reports), seismic image files (e.g. TIFF, PDF), and production data. In the future the DMC could be expanded to include operational, safety, environmental, fisheries data, etc.

Digitale Sammlungen, Goethe-Universität Frankfurt am Main

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Digital documents and collections hosted by the University Library - both freely available on the internet and access-restricted - can be found here.

COVID-19 Interactive Map

Johns Hopkins Coronavirus Resource Center

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JHU has stopped collecting data as of 03/10/2023 After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations. The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics. Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). Johns Hopkins experts in global public health, infectious disease, and emergency preparedness have been at the forefront of the international response to COVID-19. This website is a resource to help advance the understanding of the virus, inform the public, and brief policymakers in order to guide a response, improve care, and save lives. All data collected and displayed are made freely available through a GitHub repository https://github.com/CSSEGISandData/COVID-19, along with the feature layers of the dashboard, which are now included in the ESRI Living Atlas: https://livingatlas.arcgis.com/en/home/

MetaCyc

Metabolic Pathway Database

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MetaCyc is a curated database of experimentally elucidated metabolic pathways from all domains of life. MetaCyc contains pathways involved in both primary and secondary metabolism, as well as associated metabolites, reactions, enzymes, and genes. The goal of MetaCyc is to catalog the universe of metabolism by storing a representative sample of each experimentally elucidated pathway. MetaCyc applications include: Online encyclopedia of metabolism, Prediction of metabolic pathways in sequenced genomes, Support metabolic engineering via enzyme database, Metabolite database aids. metabolomics research.