cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.mtkc4
title: FAIRsharing record for: EffectiveDB
title: EffectiveDB

description: This FAIRsharing record describes:  The Effective database contains pre-calculated predictions of bacterial secreted proteins and of functional secretion systems. Effective bundles various tools to recognize Type III secretion signals, conserved binding sites of Type III chaperones, eukaryotic-like domains and subcellular targeting signals in the host. Beyond the analysis of arbitrary protein sequence collections, the new release of Effective also provides a "genome-mode", in which protein sequences from nearly complete genomes or metagenomic bins can be screened for the presence of three important secretion systems (type III, IV, VI).
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.syayhh
title: FAIRsharing record for: E. coli K antigen 3-dimensional structure database
title: EK3D

description: This FAIRsharing record describes:  EK3D - an E. coli K antigen 3-dimensional structure database is a repository of 72 E. coli K antigens that provides information about the sugar composition, epimeric & enantiomeric forms and linkages between the sugar monomers .
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.t6wjn7
title: FAIRsharing record for: probeBase
title: probeBase

description: This FAIRsharing record describes:  probeBase is a manually maintained and curated database of rRNA-targeted oligonucleotide probes and primers. Contextual information and multiple options for evaluating in silico hybridization performance against the most recent rRNA sequence databases are provided for each oligonucleotide entry, which makes probeBase an important and frequently used resource for microbiology research and diagnostics. The major features of probeBase include a classification of probes and primers according to the NCBI taxonomy database, a powerful and customizable search function, which serves to query for target organisms, probe names, primers, target sites, and references. The probeBase match tool can be used to match near-full length rRNA sequences against probeBase and find all published probes targeting the query sequences. The new proxy match tool extends this analysis to partial rRNA sequences, which exploits full-length sequences in the rRNA sequence database SILVA to find published probes potentially targeting partial query sequences. A tool for submitting new or missing probe sequences or references helps to keep probeBase up-to-date.
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.1y79y9
title: FAIRsharing record for: GeneWeaver
title: GeneWeaver

description: This FAIRsharing record describes:  The GeneWeaver data and analytics website is a publically available resource for storing, curating and analyzing sets of genes from heterogeneous data sources. The system enables discovery of relationships among genes, variants, traits, drugs, environments, anatomical structures and diseases implicitly found through gene set intersections. By enumerating the common and distinct biological molecules associated with all subsets of curated or user submitted groups of gene sets and gene networks, GeneWeaver empowers users with the ability to construct data driven descriptions of shared and unique biological processes, diseases and traits within and across 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.fe9kyy
title: FAIRsharing record for: Green Non-Coding Database
title: GreeNC

description: This FAIRsharing record describes:  The Green Non-Coding Database (GreeNC) is a repository of lncRNAs annotated in plants and algae. By using the same pipeline to annotate lncRNAs and organizing them in a central database we aim to provide a tool for the scientific community that can boost the research on this class of transcripts. The GreeNC database provides information about sequence, genomic coordinates, coding potential and folding energy for all the identified lncRNAs. In the last update, 16 species have been updated and 78 species have been added, resulting in the annotation of more than 495 000 lncRNAs.
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.8bva0r
title: FAIRsharing record for: BioXpress
title: BioXpress

description: This FAIRsharing record describes:  BioXpress is a curated gene expression and disease association database where the expression levels are mapped to genes.
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.q33qzy
title: FAIRsharing record for: HGTree
title: HGTree

description: This FAIRsharing record describes:  The HGTree database provides putative genome-wide horizontal gene transfer (HGT) information for 2,472 completely sequenced prokaryotic genomes. HGT detection is based on an explicit evolutionary model of tree reconstruction and relies on evaluating the conflicts between phylogenetic tree of each orthologous gene set and corresponding 16S rRNA species tree. The database provides quick and easy access to HGT-related genes in hundreds of prokaryotic genomes and provides functionalities to detect HGT in user-customized datasets and gene and genome sequences. The database is freely available and can be easily scaled and updated to keep pace with the rapid rise in genomic information.
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.bya6z
title: FAIRsharing record for: Super-Enhancer Archive
title: SEA

description: This FAIRsharing record describes:  SEA (Super-Enhancer Archive) is a web-based comprehensive resource focusing on the collection, storage and online analysis of super-enhancers. It focuses on integrating super-enhancers in multiple species and annotating their potential roles in the regulation of cell identity gene expression. To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue, and super-enhancer name.
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.k5a3yt
title: FAIRsharing record for: Big Data Nucleic Acid Simulations Database
title: BIGNASim

description: This FAIRsharing record describes:  Atomistic Molecular Dynamics Simulation Trajectories and Analyses of Nucleic Acid Structures. BIGNASim is a complete platform to hold and analyse nucleic acids simulation data, based on two noSQL database engines: Cassandra to hold trajectory data and MongoDB for analyses and metadata. Most common analyses (helical parameters, NMR observables, sitffness, hydrogen bonding and stacking energies and geometries) are pre-calculated for the trajectories available and shown using the interactive visualization offered by NAFlex interface. Additionaly, whole trajectories, fragments or meta-trajectories can be analysed or downloaded for further in-house processing.
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.p7ev6e
title: FAIRsharing record for: SigMol
title: null

description: This FAIRsharing record describes:  SigMol is a specialized repository of quorom sensing signaling molecules (QSSMs) in prokaryotes. SigMol harbors information on QSSMs pertaining to different quorum sensing signaling systems namely acylated homoserine lactones (AHLs), diketopiperazines (DKPs), 4- hydroxy-2-alkylquinolines (HAQs), diffusible signal factors (DSFs), autoinducer-2 (AI-2) and others. The database includes biological as well as chemical aspects of signaling molecules. Biological information includes genes, preliminary bioassays, identification assays and applications, while chemical detail comprises of IUPAC name, SMILES and structure.
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: 10.6084/m9.figshare.27969396
title: ICCAS IPE Data: AT & EMT

description: The data sets included are for interprofessional education research for athletic training and EMT students.
DOI: 10.6084/m9.figshare.27969396.v1
title: ICCAS IPE Data: AT & EMT

description: The data sets included are for interprofessional education research for athletic training and EMT students.
DOI: 10.25504/fairsharing.9fmyc7
title: FAIRsharing record for: The Pain and Interoception Imaging Network
title: PAIN

description: This FAIRsharing record describes:  The PAIN Repository is a brain imaging archive for structural and functional magnetic resonance scans (MRI, fMRI and DTI) hosted at UCLA and open to all pain investigators.
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.16v73e
title: FAIRsharing record for: Autism Brain Imaging Data Exchange
title: ABIDE

description: This FAIRsharing record describes:  Autism Brain Imaging Data Exchange (ABIDE) is a resource serving Autism spectrum disorders (ASD) data. The Autism Brain Imaging Data Exchange (ABIDE) provides previously-collected resting state functional magnetic resonance imaging (R-fMRI) datasets for the purpose of data sharing in the broader scientific community. ABIDE is intended to facilitate discovery science and comparisons across samples. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project / INDI protocols, all datasets are anonymous, with no protected health information included. Data is available for download from the ABIDE website and for searching via partner websites.
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.1jwkjn
title: FAIRsharing record for: Sequence and Phenotype Integration Exchange
title: SPHINX

description: This FAIRsharing record describes:  Sequence and Phenotype Integration Exchange (SPHINX) is a web-based tool for exploring data for hypothesis generation, especially around drug response implications of genetic variation across the eMERGE Network.
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.g0c5qn
title: FAIRsharing record for: enviPath
title: enviPath

description: This FAIRsharing record describes:  enviPath is both a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways, and supports the annotation of pathways with experimental and environmental conditions. The pathway prediction system provides different relative reasoning models to predict likely biotransformation pathways and products.
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.fb0r2g
title: FAIRsharing record for: Library of Integrated Network-Based Cellular Signatures Data Portal
title: LINCS Data Portal

description: This FAIRsharing record describes:  The LINCS Data Portal provides a unified interface for searching LINCS dataset packages and reagents.  LINCS data are being made openly available as a community resource through a series of data releases, so as to enable scientists to address a broad range of basic research questions and to facilitate the identification of biological targets for new disease therapies. LINCS datasets consist of assay results from cultured and primary human cells treated with bioactive small molecules, ligands such as growth factors and cytokines, or genetic perturbations. Many different assays are used to monitor cell responses, including assays measuring transcript and protein expression; cell phenotype data are captured by biochemical and imaging readouts. Assays are typically carried out on multiple cell types, and at multiple timepoints; perturbagen activity is monitored at multiple doses.
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.kcpnmb
title: FAIRsharing record for: HealthData.gov
title: HealthData.gov

description: This FAIRsharing record describes:  HealthData.gov makes high value health data more accessible to entrepreneurs, researchers, and policy makers in the hopes of better health outcomes for all. Data is drawn from CMS, CDC, FDA and NIH, among others that are easily available and accessible to the public and to innovators across the country. This information includes clinical care provider quality information, nationwide health service provider directories, databases of the latest medical and scientific knowledge, consumer product data, community health performance information, government spending data and much more.
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.ztvs34
title: FAIRsharing record for: Database of small human non-coding RNAs
title: DASHR

description: This FAIRsharing record describes:  Integrated annotation and sequencing-based expression data for all major classes of human small non-coding RNAs (sncRNAs) for both full sncRNA transcripts and mature sncRNA products derived from these larger RNAs.
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.tpqndj
title: FAIRsharing record for: ModelArchive
title: null

description: This FAIRsharing record describes:  ModelArchive is the archive for structural models which are not based on experimental data and complements the PDB archive for experimental structures and PDB-Dev for integrative structures. The ModelArchive is being developed following the "Workshop on Applications of Protein Models in Biomedical Research" held at the University of California, San Francisco in July 2008 for applications of protein models in biomedical research. ModelArchive is a repository for depositions of computed models of macromolecular structures which are not based on experimental data. The models can consist of any combination of proteins, RNA, DNA, or carbohydrates and include small molecules bound to them. Deposited models are findable, accessible, interoperable and reusable. Depositions are assigned a DOI to be included in manuscripts for which the model was generated.
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.1d0vs7
title: FAIRsharing record for: Mediterranean Founder Mutation Database
title: MFMD

description: This FAIRsharing record describes:  A comprehensive database established to offer a web-based access to founder mutation data in Mediterranean population. The database provides an overview about the spectrum of founder mutations found in Mediterranean population to the scientific community. Furthermore, MFMD will help scientists to design more efficient diagnostic tests and provides beneficial information to understand the history and the migration events of the Mediterranean population.
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.n8qft8
title: FAIRsharing record for: Mexican Health and Aging Study
title: MHAS

description: This FAIRsharing record describes:  The MHAS study is a series of questionnaires distributed in waves, the fourth of which was fielded in the Fall of 2015. Research goals include, but are not limited to the following: examination of the aging processes and its disease and disability burden in a large representative panel of older Mexicans; evaluation of the effects of individual behaviors, early life circumstances, migration and economic history, community characteristics, and family transfer systems on multiple health outcomes; and comparison of the health dynamics of older Mexicans with comparably aged Mexican-born migrants in the U.S. and second generation Mexican-American using similar data from the U.S. population (for example the biennial Health and Retirement Study HRS) to assess the durability of the migrant health advantage.
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.crjxwd
title: FAIRsharing record for: National Sleep Research Resource
title: NSRR

description: This FAIRsharing record describes:  The National Sleep Research Resource (NSRR) offers free web access to large collections of de-identified physiological signals and clinical data elements collected in well-characterized research cohorts and clinical trials. Using the tools provided, the researcher can search across thousands of data elements, identify those data of most relevance for given needs, explore the statistical distributions of each, and download the data as CSV files. Data include demographic, physiological, clinical, and other data types collected by each study. Physiologic signals from overnight polysomnograms (sleep studies) are available by downloading European Data Format (EDF) files. The researcher can load summary measures of standardly scored sleep data. Specific scored annotations can be accessed by downloading XML files and can be viewed offline using the EDF Viewer.
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.mqvqde
title: FAIRsharing record for: FaceBase
title: FaceBase

description: This FAIRsharing record describes:  FaceBase is a collaborative NIDCR-funded consortium to generate data in support of advancing research into craniofacial development and malformation. It serves as a community resource by generating large datasets of a variety of types and making them available to the wider research community via this website. Practices emphasize a comprehensive and multidisciplinary approach to understanding the developmental processes that create the face. The data offered spotlights high-throughput genetic, molecular, biological, imaging and computational techniques. One of the missions of this consortium is to facilitate cooperation and collaboration between projects.
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.