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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Onco Wiki Resource Report Resource Website 1+ mentions |
Onco Wiki (RRID:SCR_005002) | data or information resource, narrative resource, wiki | A free repository for oncology information, chemotherapy protocols, and cancer treatment regimens. It is meant for Healthcare providers working in the field of Oncology. | cancer, oncology, wiki, chemotherapy protocol, treatment regimen, healthcare provider, healthcare practitioner, protocol | Users may contribute to this resource, Account required to edit pages | nlx_95941 | http://oncowiki.info/wiki/index.php?title=Main_Page | SCR_005002 | SciCrunch Registry | OncoWiki | 2026-11-07 11:55:29 | 1 | ||||||||
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DDMoRe Resource Report Resource Website 1+ mentions |
DDMoRe (RRID:SCR_003851) | DDMoRe | data or information resource, portal, project portal | DDMoRe project to develop common standards and tools to allow scientists to share their models. Developed model repository which enables access to curated and shared knowledge for benefit of model informed drug discovery. | drug, drug development, data sharing, tool development, simulation, model, disease, gold standard, short course, workshop, interoperability, drug discovery, model-based drug discovery, model repository |
is listed by: Consortia-pedia is parent organization of: Simulx is parent organization of: PharmML is parent organization of: MDL is parent organization of: MDL-IDE |
Innovative Medicines Initiative ; EFPIA |
PMID:23887647 | Free, Freely available | nlx_158165 | https://www.ddmore.foundation/ | http://www.ddmore.eu/ | SCR_003851 | SciCrunch Registry | Drug Disease Model Resources, Drug Disease Model Resources (DDMoRe) | 2026-11-07 12:01:27 | 9 | |||
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Mouse Phenome Database (MPD) Resource Report Resource Website 100+ mentions |
Mouse Phenome Database (MPD) (RRID:SCR_003212) | MPD | data or information resource, data repository, database, experimental protocol, narrative resource, service resource, storage service resource | Database enables integration of genomic and phenomic data by providing access to primary experimental data, data collection protocols and analysis tools. Data represent behavioral, morphological and physiological disease-related characteristics in naive mice and those exposed to drugs, environmental agents or other treatments. Collaborative standardized collection of measured data on laboratory mouse strains to characterize them in order to facilitate translational discoveries and to assist in selection of strains for experimental studies. Includes baseline phenotype data sets as well as studies of drug, diet, disease and aging effect., protocols, projects and publications, and SNP, variation and gene expression studies. Provides tools for online analysis. Data sets are voluntarily contributed by researchers from variety of institutions and settings, or retrieved by MPD staff from open public sources. MPD has three major types of strain-centric data sets: phenotype strain surveys, SNP and variation data, and gene expression strain surveys. MPD collects data on classical inbred strains as well as any fixed-genotype strains and derivatives that are openly acquirable by the research community. New panels include Collaborative Cross (CC) lines and Diversity Outbred (DO) populations. Phenotype data include measurements of behavior, hematology, bone mineral density, cholesterol levels, endocrine function, aging processes, addiction, neurosensory functions, and other biomedically relevant areas. Genotype data are primarily in the form of single-nucleotide polymorphisms (SNPs). MPD curates data into a common framework by standardizing mouse strain nomenclature, standardizing units (SI where feasible), evaluating data (completeness, statistical power, quality), categorizing phenotype data and linking to ontologies, conforming to internal style guides for titles, tags, and descriptions, and creating comprehensive protocol documentation including environmental parameters of the test animals. These elements are critical for experimental reproducibility. | female, genomic location, genotype, inbred strain, male, mouse strain, phenome, phenotype, qtl, reference data, single-nucleotide polymorphism, strain allele, strain characteristic, strain, trait, gene expression, variation, hypothesis testing, data set, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: Integrated Datasets is used by: NIH Heal Project is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Special Mouse Strains Resource is related to: Vertebrate Trait Ontology is related to: GenomeMUSter has parent organization: Jackson Laboratory |
NHGRI HG003057; NHLBI HL66611; NIA AG025707; NIA AG038070; NIDA ; NIDA DA028420; NIMH MH071984 |
PMID:24243846 PMID:22102583 PMID:18987003 PMID:17151079 |
Free, Freely available | biotools:mpd, nif-0000-03160, r3d100010101 | https://bio.tools/mpd, https://doi.org/10.17616/R3PC7F | http://www.jax.org/phenome | SCR_003212 | SciCrunch Registry | Mouse Phenome Database | 2026-11-07 11:54:57 | 230 | |||
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Animal QTLdb Resource Report Resource Website 50+ mentions |
Animal QTLdb (RRID:SCR_001748) | Animal QTLdb | data or information resource, data repository, database, service resource, storage service resource | Database of trait mapping data, i.e. QTL (phenotype / expression, eQTL), candidate gene and association data (GWAS) and copy number variations (CNV) mapped to livestock animal genomes, to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features, such as annotated genes. QTLdb is open to house QTL/association date from other animal species where feasible. Most scientific journals require that any original QTL/association data be deposited into public databases before paper may be accepted for publication. User curator accounts are provided for direct data deposit. Users can download QTLdb data from each species or individual chromosome. | chromosome, comparative genomics, dna sequence, genome, livestock, quantitative trait locus, non-human animal, structural genomics, single-nucleotide polymorphism, gene association, genomics, trait, copy number variation, trait, phenotype, expression, eqtl, genome wide association study, candidate gene, genotype |
uses: Entrez Gene uses: Ensembl is used by: NIF Data Federation is used by: MONARCH Initiative is listed by: re3data.org is related to: Ensembl Variation is related to: Vertebrate Trait Ontology has parent organization: Iowa State University; Iowa; USA has parent organization: NAGRP Bioinformatics Coordination Program |
USDA 2007-04187; USDA NRSP-8 |
PMID:23180796 PMID:17245610 |
Free, Freely available | nif-0000-02550, r3d100010744 | http://www.animalgenome.org/QTLdb/ | SCR_001748 | SciCrunch Registry | Animal QTL database, Animal Quantitative Trait Loci database, AnimalQTLdb, Animal Quantitative Trait Loci (QTL) database | 2026-11-07 11:54:31 | 56 | ||||
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INPTDAT Resource Report Resource Website |
INPTDAT (RRID:SCR_022167) | data or information resource, data repository, service resource, storage service resource | Interdisciplinary data platform provides access to research data and information from all fields of applied plasma physics and plasma medicine. Aims at distributing, publishing and archiving of data and information, supporting findability, accessibility, interoperability and re-use of data, for low temperature plasma physics community.Most of data are freely available and can be used under terms of license listed on dataset description page. Each dataset can be identified, cited and shared by using Digital Object Identifier. | Leibniz Institute for Plasma Science and Technology, FAIR data, applied plasma physics, plasma medicine, low temperature plasma physics community |
is listed by: DataCite is listed by: re3data.org is listed by: FAIRsharing |
Federal Ministry of Education and Research BMBF | Free, Freely available | r3d100013120, DOI:10.34711, DOI:10.17616/R31NJMM8, DOI:10.25504/FAIRsharing.2VADoR | https://doi.org/10.17616/R31NJMM8, https://doi.org/10.17616/r31njmm8, , https://doi.org/10.34711/, https://dx.doi.org/10.34711/, https://fairsharing.org/10.25504/FAIRsharing.2VADoR, https://doi.org/10.17616/R31NJMM8 | SCR_022167 | SciCrunch Registry | 2026-11-07 12:00:27 | 0 | |||||||
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Neotoma Paleoecology Database Resource Report Resource Website 10+ mentions |
Neotoma Paleoecology Database (RRID:SCR_002190) | Neotoma | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Paleoecology database for plio-pleistocene to holocene fossil data with a centralized structure for interdisciplinary, multiproxy analyses and common tool development; discipline-specific data can also be easily accessed. Data currently include North American Pollen (NAPD) and fossil mammals (FAUNMAP). Other proxies (plant macrofossils, beetles, ostracodes, diatoms, etc.) and geographic areas (Europe, Latin America, etc.) will be added in the near future. Data are derived from sites from the last 5 million years. | data sharing, paleoecology, plio-pleistocene, holocene, fossil |
is listed by: CINERGI has parent organization: Pennsylvania State University |
NSF | Free, Available for download, Freely available | nlx_154700, r3d100011761 | SCR_002190 | SciCrunch Registry | NeotomaDB, Neotoma DB | 2026-11-07 11:54:34 | 38 | ||||||
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OBIS Resource Report Resource Website 100+ mentions |
OBIS (RRID:SCR_006933) | OBIS | data or information resource, data repository, database, service resource, storage service resource | Accepts and provides access to biogeographic data collected throughout the global oceans. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations. Created by the Census of Marine Life, OBIS is now part of the Intergovernmental Oceanographic Commission (IOC) of UNESCO, under its International Oceanographic Data and Information Exchange (IODE) programme | ocean, marine, data set, oceanography, FASEB list | is listed by: CINERGI | The community can contribute to this resource | nlx_154698, r3d100010088 | https://doi.org/10.17616/R33K5G | SCR_006933 | SciCrunch Registry | Ocean Biogeographic Information System Marine | 2026-11-07 11:56:05 | 179 | ||||||
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Biomedical Informatics Research Network Resource Report Resource Website 10+ mentions |
Biomedical Informatics Research Network (RRID:SCR_005163) | BIRN | atlas, data or information resource, data repository, database, service resource, software resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 22, 2023. National initiative to advance biomedical research through data sharing and online collaboration that provides data sharing infrastructure, software tools, strategies and advisory services. Groups may choose whether to share data internally or with external audiences. Hardware and data remain under control of individual user groups. | dti, fmri, alzheimer's disease, cognitive impairment, collaborative environment, cyberinfrastructure, data sharing, depressive disorder, information technology, infrastructure, memory dysfunction, microarray, mri, neurodegenerative disease, neuroinformatics, neuroimaging, genetics, biomedical material, neurobiology, electrophysiology, collaboration, biomedical, imaging, imaging system, biomedical engineering, brain, health |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: re3data.org is listed by: DataCite has parent organization: University of Southern California; Los Angeles; USA is parent organization of: Morphometry BIRN is parent organization of: Knowledge Engineering from Experimental Design is parent organization of: Mouse Biomedical Informatics Research Network is parent organization of: NIH Topic Maps - A Topic Database of NIH Funded Grants is parent organization of: Human Imaging Database is parent organization of: Function BIRN is parent organization of: B0 and eddy current correction for DTI is parent organization of: BrainSuite is parent organization of: Open Access Series of Imaging Studies |
NIH Blueprint for Neuroscience Research ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01; NIGMS U24 GM104203 |
PMID:21515543 PMID:18348946 PMID:17238407 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00027, r3d100010770 | http://www.nitrc.org/projects/birn, https://doi.org/10.17616/R3F02K | http://www.birncommunity.org/, https://neuroscienceblueprint.nih.gov/factSheet/birn.htm | SCR_005163 | SciCrunch Registry | BIRN - The Conduit for Biomedical Research, Biomedical Informatics Research Network - The Conduit for Biomedical Research | 2026-11-07 12:00:32 | 12 | |||
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ConnectomeViewer: Multi-Modal Multi-Level Network Visualization and Analysis Resource Report Resource Website |
ConnectomeViewer: Multi-Modal Multi-Level Network Visualization and Analysis (RRID:SCR_008312) | ConnectomeViewer | d visualization software, data analysis software, data processing software, data visualization software, network analysis software, network graph visualization software, rendering software, software application, software resource | Extensible, scriptable, pythonic software tool for visualization and analysis in structural neuroimaging research on many spatial scales. Employing the Connectome File Format, diverse data such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The field of Connectomics research benefits from recent advances in structural neuroimaging technologies on all spatial scales. The need for software tools to visualize and analyze the emerging data is urgent. The ConnectomeViewer application was developed to meet the needs of basic and clinical neuroscientists, as well as complex network scientists, providing an integrative, extensible platform to visualize and analyze Connectomics data. With the Connectome File Format, interlinking different datatypes such as hierarchical networks, surface data, volumetric data is easy and might provide new ways of analyzing and interacting with data. Furthermore, ConnectomeViewer readily integrates with: * ConnectomeWiki: a semantic knowledge base representing connectomics data at a mesoscale level across various species, allowing easy access to relevant literature and databases. * ConnectomeDatabase: a repository to store and disseminate Connectome files. | extensible, analysis, clinical, data, diverse, metadata, network, neuroscience, neuroscientist, pythonics, research, scriptable, software, structural, surface, technology, tool, track, visualization, volume, neuroimaging |
has parent organization: Ecole Polytechnique Federale de Lausanne; Lausanne; Switzerland has parent organization: University of Lausanne; Lausanne; Switzerland |
nif-0000-24442 | SCR_008312 | SciCrunch Registry | 2026-11-07 11:56:32 | 0 | |||||||||
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Cell Line Knowledge Base Resource Report Resource Website |
Cell Line Knowledge Base (RRID:SCR_005832) | CLKB | biomaterial supply resource, cell repository, material resource | Public data warehouse for searching cell line data extracted from both ATCC and HyperCLDB. The knowledge base uses the Cell Line Ontology, created with the Protege ontology editing tool from the National Center for Biomedical Ontologies (NCBO) and merges concepts from other ontologies, including the Cell Type Ontology. The Cell Line Knowledge Base uses our Cell Line Ontology as the underlying data model. The ontology defines the following cell line attributes: Cell Line ID, Organism, Tissue, Pathology, Growth Mode, MeSH ID. To report errors in the data or to add cell line data to the knowledge base, please email: clbk-data (at) umich.edu | cell, cell line |
is listed by: One Mind Biospecimen Bank Listing is related to: ATCC is related to: Hyper Cell Line Database is related to: Cell Type Ontology is related to: Cell Line Ontology has parent organization: National Center for Integrative Biomedical Informatics |
Public, The community can contribute to this resource | nlx_149341 | SCR_005832 | SciCrunch Registry | Knowledge Base, Cell Line Knowledge, CLKB | 2026-11-07 12:01:31 | 0 | |||||||
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Barbara A. Mikulski Archive for Space Telescopes Resource Report Resource Website 10+ mentions |
Barbara A. Mikulski Archive for Space Telescopes (RRID:SCR_023137) | data repository, service resource, storage service resource | Astronomical data archive focused on optical, ultraviolet, and near infrared. Used for maximizing scientific accessibility and productivity of astronomical data. MAST hosts data from over dozen missions like Webb, Hubble, TESS, Kepler, and in the future Roman. |
is listed by: DataCite is listed by: re3data.org |
Free, Freely available | DOI:10.17909, DOI:10.17616/R3K897, r3d100010403 | https://doi.org/10.17909, https://dx.doi.org/10.17909, http://doi.org/10.17616/R3K897, https://doi.org/10.17616/R3K897 | SCR_023137 | SciCrunch Registry | Barbara A. Mikulski Archive for Space Telescopes | 2026-11-07 12:01:08 | 19 | ||||||||
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NERC Environmental Bioinformatics Centre Resource Report Resource Website 1+ mentions |
NERC Environmental Bioinformatics Centre (RRID:SCR_000526) | NEBC | data or information resource, data repository, database, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1, 2023. Data sharing platform based on the ISA software suite - including an annotation tool and a database - that holds environmental omic data in standards-compliant format. It uses various approaches to provide new discovery, interoperability and integration opportunities for environmental scientists, including the development of tools, databases, standard and ontologies. The main tool for collecting environmental omics data from researchers is the EnvBase data catalogue. The NEBC Toolbox contains a range of tools developed by NEBC to support environmental researchers. The data include next generation sequencing, microarray and ABI sequencing technologies. ISAconfigurator and ISAcreator ensure that the extensive information relating to environmental sampling is consistently collected by the NERC experimentalists, according to the appropriate MIBBI checklist(s), and then reported centrally to NEBC. A local instance of the BII runs as an internal prototype database that will soon provide public and private access to NERC research projects outputs, as appropriate. In accordance with the NERC Data Policy, and when data sets are declared ready for public release, the NEBC team will use the ISAconverter to perform (combined) submissions to the appropriate public repositories (ENA, or SRA, ArrayExpress and PRIDE) to ensure long term stewardship. | environment, interoperability, standard, bioinformatics, data management, computing, data sharing, next generation sequencing, metadata standard, microarray, abi sequencing, cloud computing |
recommends: ISA Infrastructure for Managing Experimental Metadata recommends: Bio-Linux has parent organization: Natural Environment Research Council |
BBSRC ; NERC |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_51307 | SCR_000526 | SciCrunch Registry | NERC Environmental Bioinformatics Center | 2026-11-07 12:00:44 | 1 | ||||||
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Paleobiology Database Resource Report Resource Website 100+ mentions |
Paleobiology Database (RRID:SCR_003798) | PBDB | data or information resource, data repository, database, service resource, storage service resource | A non-governmental, non-profit public database for paleontological data providing researchers and the public with information about the entire fossil record. It has been organized and operated by a multi-disciplinary, multi-institutional, international group of paleobiological researchers. Its purpose is to provide global, collection-based occurrence and taxonomic data for organisms of all geological ages, as well data services to allow easy access to data for independent development of analytical tools, visualization software, and applications of all types. The Database's broader goal is to encourage and enable data-driven collaborative efforts that address large-scale paleobiological questions. Paleontological data files are accepted for upload. However, PaleoBioDB needs some basic data types to be included in order to perform an upload. The Application Programming Interface (API) gives scientists, students, and developers programmatic access to taxonomic, spatial, and temporal data contained within the database. | paleontology, taxonomy, web service, visualization, FASEB list | is used by: Vertebrate Taxonomy Ontology | NSF EAR 0949416; NSF ICER 1540929; NSF ICER 1540997; NSF DUE 1504718; NCEAS ; Australian Research Council |
The community can contribute to this resource | r3d100012690, nlx_158095 | https://doi.org/10.17616/R31NJMAA | SCR_003798 | SciCrunch Registry | PaleoBioDB, PaleoDB | 2026-11-07 11:55:29 | 201 | |||||
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Einstein-Montefiore ICTR Research Informatics Core Resource Report Resource Website |
Einstein-Montefiore ICTR Research Informatics Core (RRID:SCR_003451) | Einstein-Montefiore ICTR RIC | community building portal, data or information resource, data repository, database, portal, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. Primary informatics resource for joint research efforts of the Albert Einstein College of Medicine and Montefiore Medical Center to facilitate the study and understanding of biological processes, clinical disorders, pathologic abnormalities, and the relationships among them, using a wide variety of informatics techniques, applications, and user training. Their services include: * Collaboration on research design to enable effective data management throughout all phases of a project * Provision of management capability for large volumes of data generated by microarrays and related technologies * Provision and supports a software toolchest for data capture, retrieval, and analysis * Design and implementation of custom interfaces to incorporate existing or separately designed databases into the central data management architecture * Support for data management for the Biorepository, to enhance specimen storage, identification, and linkage with clinical data * Ensuring conformity of data elements and structures to national standards via participation in standards organizations, facilitating intramural and extramural collaboration * Providing individualized support to end-users with bioinformatics training needs * Serving as a bioinformatics liaison to other research institutes and organizations * Providing data management support for clinical research * Providing a common, secure repository for clinical, experimental, and biosample storage data | abnormality, application, biological, biorepository, clinical, compute, disorder, informatics, medicine, organization, pathologic, research, specimen, technique, technology, collaboration, data management, data sharing, infrastructure, workbench, biostatistics, data repository, bioinformatics, environment, microarray, gene, clinical research |
is listed by: Biositemaps is related to: Einstein-Montefiore Institute for Clinical and Translational Research Biorepository has parent organization: Albert Einstein College of Medicine; New York; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33284 | SCR_003451 | SciCrunch Registry | Einstein-Montefiore Institute for Clinical & Translational Research - Research Informatics Core, Research Informatics Core - Einstein-Montefiore Institute for Clinical and Translational Research (ICTR), Einstein-Montefiore Institute for Clinical and Translational Research - Research Informatics Core | 2026-11-07 12:00:30 | 0 | |||||||
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PeMtb Resource Report Resource Website |
PeMtb (RRID:SCR_016278) | data or information resource, database | Database for MHC antigenic peptide of Mycobacterium tuberculosis. It aims to make a comprehensive repository of synthetic antigenic peptides predicted from several MHC predication servers. | mhc, antigenic, peptide, mycobacteria, tb, tuberculosis, predication | Tuberculosis | Freely available, Free, Available for download, Runs on Windows, Runs on Linux | SCR_016278 | SciCrunch Registry | PeMtb, Peptide Mycobacterium Tuberculosis | 2026-11-07 12:03:15 | 0 | |||||||||
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Community Structure-Activity Resource Resource Report Resource Website 10+ mentions |
Community Structure-Activity Resource (RRID:SCR_002206) | CSAR | data or information resource, data repository, data set, service resource, storage service resource | Experimental datasets of crystal structures and binding affinities for diverse protein-ligand complexes. Some datasets are generated in house while others are collected from the literature or deposited by academic labs, national centers, and the pharmaceutical industry. For the community to improve their approaches, they need exceptional datasets to train scoring functions and develop new docking algorithms. They aim to provide the highest quality data for a diverse collection of proteins and small molecule ligands. They need input from the community in developing target priorities. Ideal targets will have many high-quality crystal structures (apo and 10-20 bound to diverse ligands) and affinity data for 25 compounds that range in size, scaffold, and logP. It is best if the ligand set has several congeneric series that span a broad range of affinity, with low nanomolar to mid-micromolar being most desirable. They prefer Kd data over Ki data over IC50 data (no % activity data). They will determine solubility, pKa, logP/logD data for the ligands whenever possible. They have augmented some donated IC50 data by determining Kon/Koff and ITC data. | crystal structure, binding affinity, protein-ligand complex, protein, small molecule, ligand, compound |
is used by: NIF Data Federation is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: University of Michigan; Ann Arbor; USA |
NIGMS | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154720 | SCR_002206 | SciCrunch Registry | 2026-11-07 11:54:38 | 16 | |||||||
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Carbon Dioxide Information Analysis Center Resource Report Resource Website |
Carbon Dioxide Information Analysis Center (RRID:SCR_006999) | CDIAC | data or information resource, data repository, data set, service resource, storage service resource | The primary climate-change data and information analysis center of the U.S. Department of Energy (DOE) and includes the World Data Center for Atmospheric Trace Gases, serving the climate change-related data and information needs of users worldwide. CDIAC''s data holdings include estimates of carbon dioxide emissions from fossil-fuel consumption and land-use changes; records of atmospheric concentrations of carbon dioxide and other radiatively active trace gases; carbon cycle and terrestrial carbon management datasets and analyses; and global/regional climate data and time series. CDIAC provides scientific and data management support for projects sponsored by a number of agencies, including the AmeriFlux Network, continuous observations of ecosystem level exchanges of CO2, water, energy and momentum at different time scales for sites in the Americas; the Ocean CO2 Data Program of CO2 measurements taken aboard ocean research vessels; DOE-supported FACE experiments, which evaluate plant and ecosystem response to elevated CO2 concentrations; and the HIPPO project, which is analyzing the atmospheric carbon cycle and greenhouse gas concentrations from pole to pole over the Pacific Ocean. For those wishing to contribute data to the CDIAC data collection, review the guide and then contact one of the CDIAC staff members to discuss further data submission plans. Data providers may submit data in a variety of ways including via email, direct deposit to a secure CDIAC File Transfer Protocol (FTP) server, on transfer media (e.g. CD-ROM), or by having CDIAC mirror a location at the investigator''s institution. | carbon dioxide, climate change, climate, carbon dioxide emission, fossil-fuel consumption, land-use, atmospheric, trace gas, carbon cycle, emission, fossil-fuel, ecosystem |
is listed by: CINERGI has parent organization: Oak Ridge National Laboratory |
DOE | Free, Public, Acknowledgement requested | nlx_154730 | SCR_006999 | SciCrunch Registry | 2026-11-07 11:56:07 | 0 | |||||||
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VentDB Resource Report Resource Website |
VentDB (RRID:SCR_001632) | VentDB | data or information resource, data repository, database, service resource, storage service resource | Database contating hydrothermal spring geochemistry that hosts and serves the full range of compositional data acquired on seafloor hydrothermal vents from all tectonic settings. It can accommodate published historical data as well as legacy and new data that investigators contribute. | hydrothermal spring, geochemistry, seafloor, hydrothermal vent, tectonic, plume, geochemical |
is listed by: CINERGI has parent organization: EarthChem |
NSF | Free, Available for download, Freely available | nlx_154725, r3d100011536 | https://doi.org/10.17616/R33P8N | SCR_001632 | SciCrunch Registry | 2026-11-07 11:54:36 | 0 | ||||||
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European Genome phenome Archive Resource Report Resource Website 500+ mentions |
European Genome phenome Archive (RRID:SCR_004944) | EGA | data access protocol, data or information resource, data repository, data set, service resource, software resource, storage service resource, web service | Web service for permanent archiving and sharing of all types of personally identifiable genetic and phenotypic data resulting from biomedical research projects. The repository allows you to explore datasets from numerous genotype experiments, supplied by a range of data providers. The EGA''s role is to provide secure access to the data that otherwise could not be distributed to the research community. The EGA contains exclusive data collected from individuals whose consent agreements authorize data release only for specific research use or to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the EGA project. As an example, only members of the EGA team are allowed to process data in a secure computing facility. Once processed, all data are encrypted for dissemination and the encryption keys are delivered offline. The EGA also supports data access only for the consortium members prior to publication. | phenomenon, trait, sequence, genotype, experiment, case-control, population, family study, snp, cnv, phenotype, genomic, gold standard, bio.tools |
is used by: Blueprint Epigenome is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases lists: METABRIC is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: European Bioinformatics Institute |
PMID:34791407 | Restricted | BioTools:ega, biotools:ega, r3d100011242, OMICS_01028, nlx_91316 | https://ega-archive.org/, https://bio.tools/ega, https://bio.tools/ega, https://doi.org/10.17616/R3W619 | SCR_004944 | SciCrunch Registry | , The European Genome-phenome Archive, The European Genome-phenome Archive (EGA), EGA | 2026-11-07 11:55:41 | 787 | |||||
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ASAP Resource Report Resource Website 50+ mentions |
ASAP (RRID:SCR_001849) | ASAP | data or information resource, data repository, database, service resource, storage service resource | Database and web interface developed to store, update and distribute genome sequence data and gene expression data. ASAP was designed to facilitate ongoing community annotation of genomes and to grow with genome projects as they move from the preliminary data stage through post-sequencing functional analysis. The ASAP database includes multiple genome sequences at various stages of analysis, and gene expression data from preliminary experiments. Use of some of this preliminary data is conditional, and it is the users responsibility to read the data release policy and to verify that any use of specific data obtained through ASAP is consistent with this policy. There are four main routes to viewing the information in ASAP: # a summary page, # a form to query the genome annotations, # a form to query strain collections, and # a form to query the experimental data. Navigational buttons appear on every page allowing users to jump to any of these four points., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene expression, genome, genome sequence, multiple genome sequence, post sequencing functional analysis, preliminary experiment, blast, annotation, data analysis service |
is used by: NIF Data Federation is listed by: SoftCite is related to: AmiGO has parent organization: University of Wisconsin-Madison; Wisconsin; USA |
USDA 2001-52100-11316; NIGMS GM62994-02; NIGMS GM35682-15A1 |
PMID:12519969 | Free, Freely available | nif-0000-02571, r3d100010666 | https://omictools.com/asap-3-tool | SCR_001849 | SciCrunch Registry | A Systematic Annotation Package for Community Analysis of Genome, ASAP: a systematic annotation package for community analysis of genomes, A systematic annotation package for community analysis of genomes | 2026-11-07 11:54:27 | 53 |
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If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
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