cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.sv2rm8
title: FAIRsharing record for: TissueNet 
title: null

description: This FAIRsharing record describes:  Knowledge of the molecular interactions of human proteins within tissues is important for identifying their tissue-specific roles and for shedding light on tissue phenotypes. However, many protein-protein interactions (PPIs) have no tissue-contexts. The TissueNet database bridges this gap by associating experimentally-identified PPIs with human tissues that were shown to express both pair-mates. Users can select a protein and a tissue, and obtain a network view of the query protein and its tissue-associated PPIs. TissueNet v.2 is an updated version of the TissueNet database previously featured in NAR. It includes over 40 human tissues profiled via RNA-sequencing or protein-based assays. Users can select their preferred expression data source and interactively set the expression threshold for determining tissue-association. The output of TissueNet v.2 underlines qualitative and quantitative features of query proteins and their PPIs. The tissue-specificity view highlights tissue-specific and globally-expressed proteins, and the quantitative view highlights proteins that were differentially expressed in the selected tissue relative to all other tissues. Together, these views allow users to quickly assess the unique versus global functionality of query proteins. Thus, TissueNet v.2 offers an extensive, quantitative and user-friendly interface to study the roles of human proteins across tissues.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.yxkdpg
title: FAIRsharing record for: Proteome-pI : proteome isoelectric point database
title: Proteome-pI

description: This FAIRsharing record describes:  Proteome-pI is an online database containing information about predicted isoelectric points for 5,029 proteomes (21 million of sequences) calculated using 18 methods. The isoelectric point, the pH at which a particular molecule carries no net electrical charge, is an important parameter for many analytical biochemistry and proteomics techniques, especially for 2D gel electrophoresis (2D-PAGE), capillary isoelectric focusing, liquid chromatography–mass spectrometry and X-ray protein crystallography. The database allows the retrieval of virtual 2D-PAGE plots and the development of customized fractions of proteome based on isoelectric point and molecular weight. Moreover, Proteome-pI facilitates statistical comparisons of the various prediction methods as well as biological investigation of protein isoelectric point space in all kingdoms of life (http://isoelectricpointdb.org/statistics.html). The database includes various statistics and tools for interactive browsing, searching and sorting. It can be searched and browsed by organism name, average isoelectric point, molecular weight or amino acid frequencies. Proteins with extreme pI values are also available. For individual proteomes, users can retrieve proteins of interest given the method, isoelectric point and molecular weight ranges (this particular feature can be highly useful to limit potential targets in analysis of 2DPAGE gels or before conducting mass spectrometry). Finally, some general statistics (total number of proteins, amino acids, average sequence length, amino acid and di-amino acid frequencies) and datasets corresponding to major protein databases such as UniProtKB/TrEMBL and the NCBI non-redundant (nr) database have also been precalculated.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.tw6ecm
title: FAIRsharing record for: LinkProt: A database of proteins with topological links
title: LinkProt

description: This FAIRsharing record describes:  LinkProt collects information about protein chains and complexes that form links. LinkProt detects deterministic links (with loops closed by cysteine), and determines likelihood of formation of links in networks of protein chains called MacroLinks. Links are presented graphically in an intuitive way, using tools that involves surfaces of minimal area spanned on closed loops. The database presents extensive information about biological functions of proteins with links and enables users to analyze new structures.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.wy4egf
title: FAIRsharing record for: Zenodo
title: Zenodo

description: This FAIRsharing record describes:  Zenodo is a generalist research data repository built and developed by OpenAIRE and CERN. It was developed to aid Open Science and is built on open source code. Zenodo helps researchers receive credit by making the research results citable and through OpenAIRE integrates them into existing reporting lines to funding agencies like the European Commission. Citation information is also passed to DataCite and onto the scholarly aggregators. Content is available publicly under any one of 400 open licences (from opendefinition.org and spdx.org). Restricted and Closed content is also supported. Free for researchers below 50 GB/dataset. Content is both online on disk and offline on tape as part of a long-term preservation policy. Zenodo supports managed access (with an access request workflow) as well as embargoing generally and during peer review. The base infrastructure of Zenodo is provided by CERN, a non-profit IGO. Projects are funded through grants.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.68f4xz
title: FAIRsharing record for: mirDNMR
title: mirDNMR

description: This FAIRsharing record describes:  mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.kthr0s
title: FAIRsharing record for: Musa Germplasm Information System
title: MGIS

description: This FAIRsharing record describes:  The Musa Germplasm Information System (MGIS) contains key information on Musa germplasm diversity, including passport data, botanical classification, morpho-taxonomic descriptors, molecular studies, plant photographs and GIS information on 4771 accessions managed in 24 collections around the world, making it the most extensive source of information on banana genetic resources.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.6h8d2r
title: FAIRsharing record for: STOREDB
title: STOREDB

description: This FAIRsharing record describes:  STOREDB provides infrastructure for sharing data and resources in radiation biology and epidemiology. It is a platform for the archiving and sharing of primary data and outputs of all kinds, including epidemiological and experimental data, from research on the effects of radiation. It also provides a directory of bioresources and databases containing information and materials that investigators are willing to share. STORE supports the creation of a radiation research commons.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.p90p8q
title: FAIRsharing record for: Banana Genome Hub
title: BGH

description: This FAIRsharing record describes:  The Banana Genome Hub is the official portal for the Musaceae genome resources.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.1gn47b
title: FAIRsharing record for: Target Central Resource Database
title: TCRD

description: This FAIRsharing record describes:  TCRD is the central resource behind the Illuminating the Druggable Genome Knowledge Management Center (IDG-KMC). TCRD contains information about human targets, with special emphasis on four families of targets that are central to the NIH IDG initiative: GPCRs, kinases, ion channels and nuclear receptors. Olfactory GPCRs (oGPCRs) are treated as a separate family. A key aim of the KMC is to classify the development/druggability level of targets. The official public portal for TCRD is Pharos (pharos.nih.gov). Based on modern web design principles the Pharos interface provides facile access to all data types collected by the KMC. Given the complexity of the data surrounding any target, efficient and intuitive visualization has been a high priority, to enable users to quickly navigate & summarize search results and rapidly identify patterns. A critical feature of the interface is the ability to perform flexible search and subsequent drill down of search results. Underlying the interface is a RESTful API that provides programmatic access to all KMC data, allowing for easy consumption in user applications.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.3me82d
title: FAIRsharing record for: DrugCentral
title: DrugCentral

description: This FAIRsharing record describes:  DrugCentral is online drug information that provides information on active ingredients, chemical entities, pharmaceutical products, drug mode of action, indications, and pharmacologic mode of action. DrugCentral monitors FDA, EMA, and PMDA for new drug approval on regular basis to ensure currency of the resource. This resource was created and is maintained by the Division of Translational Informatics at the University of New Mexico School of Medicine.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.nbe4fq
title: FAIRsharing record for: The Benchmark Energy & Geometry Database
title: BEGDB

description: This FAIRsharing record describes:  The Benchmark Energy & Geometry Database (BEGDB) collects results of highly accurate QM calculations of molecular structures, energies and properties. These data can serve as benchmarks for testing and parameterization of other computational methods.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.pj6a0t
title: FAIRsharing record for: Hepatitis C Virus Ires Variation Database
title: HCVIVdb

description: This FAIRsharing record describes:  HCVIVdb is a database of published variations observed within the internal ribosome entry site (IRES) of the hepatitis C Virus.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.1h7yt4
title: FAIRsharing record for: Swiss-Czech Proteomics Server
title: SWICZ

description: This FAIRsharing record describes:  Proteomics database for streptomyces and caulobacter and neisseria. Unique database in the field, containing knowledge based data of time series of protein expression for various stages of development of the given species.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.jr31ex
title: FAIRsharing record for: Face Of Fungi
title: FoF

description: This FAIRsharing record describes:  The Face Of Fungi database allows deposition of taxonomic data, phenotypic details and other useful data. Its aim is to enhance current taxonomic understanding and ultimately enable mycologists to gain better and updated insights into the current fungal classification system. In addition, the database allows access to comprehensive metadata including descriptions of voucher and type specimens.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.q8fx1b
title: FAIRsharing record for: Ontobee
title: Ontobee

description: This FAIRsharing record describes:  A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, visualization, query, integration, and analysis. Ontobee dynamically dereferences and presents individual ontology term URIs to (i) HTML web pages for user-friendly web browsing and navigation, and to (ii) RDF source code for Semantic Web applications. Ontobee is the default linked data server for most OBO Foundry library ontologies. Ontobee has also been used for many non-OBO ontologies.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.1y63n8
title: FAIRsharing record for: MorphoBank
title: MorphoBank

description: This FAIRsharing record describes:  MorphoBank provides a digital archive of biodiversity and evolutionary research data, specifically systematics (the science of determining the evolutionary relationships among species). MorphoBank aids development of the Tree of Life - the genealogy of all living and extinct species. Heritable features - both genotypes (e.g., DNA sequences) and phenotypes (e.g., anatomy, behavior, physiology) are stored as part of the Tree of Life project. While the genomic part of this work is archived at the National Center for Biotechnology Information (NCBI), MorphoBank is part of the infrastructure for storing and sharing phenotype data, including information on anatomy, physiology, behavior and other features of species. One can think of MorphoBank as two databases in one: one that permits researchers to upload images and affiliate data with those images (labels, species names, etc.) and a second database that allows researchers to upload morphological data and affiliate it with phylogenetic matrices. In both cases, MorphoBank is project-based, meaning a team of researchers can create a project and share the images and associated data exclusively with each other. When a paper associated with the project is published, the research team can make their data permanently available for view on MorphoBank where it is now archived.   The phylogenetic matrix aspect of MorphoBank is designed to aid systematists working alone or in teams to build large phylogenetic trees using morphology (anatomy, histology, neurology, or any aspect of phenotypes) or a combination of morphology and molecular data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.3f9n4y
title: FAIRsharing record for: Open Targets
title: Open Targets

description: This FAIRsharing record describes:  Open Targets is a data integration platform for access to and visualisation of potential drug targets associated with disease. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.e4r5nj
title: FAIRsharing record for: MalaCards
title: MalaCards

description: This FAIRsharing record describes:  The MalaCards human disease database (http://www. malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards’ affiliation with the GeneCards Suite of databases. MalaCards’ capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a ‘flat’ disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.v1h8rk
title: FAIRsharing record for: Atlas of Living Australia IPT - GBIF Australia Repository
title: ALA IPT - GBIF Australia Repository

description: This FAIRsharing record describes:  The Atlas of Living Australia (GBIF Australia) maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Australia supports researchers in Australia by providing them helpdesk assistance and by hosting their data for free in this repository.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.5281/zenodo.14284179
title: UFPF PBMCs nCounter Raw Counts
DOI: 10.5281/zenodo.14284180
title: UFPF PBMCs nCounter Raw Counts
DOI: 10.25504/fairsharing.bk3z3n
title: FAIRsharing record for: GBIF Spain IPT - GBIF Spain Repository
title: null

description: This FAIRsharing record describes:  GBIF Spain maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Spain supports researchers in Spain by providing them helpdesk assistance and by hosting their data for free in this repository. It has already been used to publish/host data in scientific publications, e.g. http://dx.doi.org/10.15470/qomfu6 which is the data this Scientific Data publication is based on: http://dx.doi.org/10.1038/sdata.2016.85
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.