Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Edwards Lab Resource Report Resource Website 1+ mentions |
Edwards Lab (RRID:SCR_008860) | Edwards Lab | laboratory portal, organization portal, topical portal, portal, data or information resource | The Edwards lab conducts research in various aspects of computational biology and bioinformatics, particularly proteomics and mass spectrometry informatics and DNA and protein based signatures for pathogen detection. Some tools provided by Edwards Lab are the PepArML Meta-Search Engine, PeptideMapper Web-Service, Peptide Sequence Databases, Rapid Microorganism Identification Database (RMIDb), and GlycoPeptideSearch. Our primary area of research is the analysis of mass spectrometry experiments for proteomics. Proteomics, the qualitative and quantitative analysis of the expressed proteins of a cell, makes it possible to detect and compare the protein abundance profiles of different samples. Proteins observed to be under or over expressed in disease samples can lead to diagnostic markers or drug targets. The observation of mutated or alternatively spliced protein isoforms may provide domain experts with clues to the mechanisms by which a disease operates. The detection of proteins by mass spectrometry can even signal the presence of airborne microorganisms, such as anthrax, in the detect-to-protect time-frame. Recent research has focused on the discovery of novel peptides in proteomics datasets, improving the sensitivity and specificity of peptide identification using spectral matching with hidden Markov models, and unsupervised machine-learning based peptide identification result combining. Outside of proteomics, we work on computational tools for the design of highly specific oligonucleotides useful for pathogen signatures and PCR assay design. Recent research has focused on precomputing all human oligos of length 20 that are unique up to 4 string edits; and all bacterial 20-mer oligos that are species specific up to 4 string edits. | peptide, proteomics, computational biology, bioinformatics, mass spectrometry, informatics, oligonucleotide, peptide sequence |
has parent organization: Georgetown University; Washington D.C.; USA is parent organization of: PeptideMapper is parent organization of: Peptide Sequence Database is parent organization of: GlycoPeptideSearch |
nlx_149188 | SCR_008860 | Georgetown - Edwards Lab, Georgetown University - Edwards Lab, GU - Edwards Lab | 2026-02-16 09:47:17 | 1 | ||||||||
|
Zebrafish RNAi Database Resource Report Resource Website |
Zebrafish RNAi Database (RRID:SCR_008965) | Zebrafish RNAi Database | data repository, storage service resource, topical portal, portal, service resource, data or information resource, organism-related portal | Community built zebrafish RNAi platform that contains plasmids, successfully targeted genes and shRNA sequences, and a forum for discussion. This is a true community platform with users who add data, modify entiries, request features and share using the discussion board. | plasmid, gene, shrna sequence, rnai, method | has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; | nlx_152032 | SCR_008965 | 2026-02-16 09:47:19 | 0 | |||||||||
|
GeneInfoViz Resource Report Resource Website |
GeneInfoViz (RRID:SCR_005680) | GeneInfoViz | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | GeneInfoViz is a web based tool for batch retrieval of gene function information, visualization of GO structure and construction of gene relation networks. It takes a input list of genes in the form of LocusLink ID, UniGeneID, gene symbol, or accession number and returns their functional genomic information. Based on the GO annotations of the given genes, GeneInfoViz allows users to visualize these genes in the DAG structure of GO, and construct a gene relation network at a selected level of the DAG. Platform: Online tool | gene network, gene ontology, visualization, gene, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
PMID:15724283 | Free for academic use | nlx_149121 | SCR_005680 | GeneInfoViz: Constructing and Visualizing Gene Relation Networks | 2026-02-16 09:46:40 | 0 | ||||||
|
phenomeNET Resource Report Resource Website 10+ mentions |
phenomeNET (RRID:SCR_006165) | PhenomeNet | data analysis service, analysis service resource, database, software resource, source code, production service resource, service resource, data or information resource | PhenomeNet is a cross-species phenotype similarity network. It contains the experimentally observed phenotypes of multiple species as well as the phenotypes of human diseases. PhenomeNet provides a measure of phenotypic similarity between the phenotypes it contains. The latest release (from 22 June 2012) contains 124,730 complex phenotype nodes taken from the yeast, fish, worm, fly, rat, slime mold and mouse model organism databases as well as human disease phenotypes from OMIM and OrphaNet. The network is a complete graph in which edge weights represent the degree of phenotypic similarity. Phenotypic similarity can be used to identify and prioritize candidate disease genes, find genes participating in the same pathway and orthologous genes between species. To compute phenotypic similarity between two sets of phenotypes, we use a weighted Jaccard index. First, phenotype ontologies are used to infer all the implications of a phenotype observation using several phenotype ontologies. As a second step, the information content of each phenotype is computed and used as a weight in the Jaccard index. Phenotypic similarity is useful in several ways. Phenotypic similarity between a phenotype resulting from a genetic mutation and a disease can be used to suggest candidate genes for a disease. Phenotypic similarity can also identify genes in a same pathway or orthologous genes. PhenomeNet uses the axioms in multiple species-dependent phenotype ontologies to infer equivalent and related phenotypes across species. For this purpose, phenotype ontologies and phenotype annotations are integrated in a single ontology, and automated reasoning is used to infer equivalences. Specifically, for every phenotype, PhenomeNet infers the related mammalian phenotype and uses the Mammalian Phenotype Ontology for computing phenotypic similarity. Tools: * PhenomeBLAST - A tool for cross-species alignments of phenotypes * PhenomeDrug - method for drug-repurposing | phenotype, disease, gene, genotype, allele, model organism, human disease, candidate disease gene, pathway, orthologous gene, ortholog, ontology, semantic similarity, mutant phenotype, disease pathway, alignment, pharmacogenomics, drug |
is related to: OMIM is related to: Orphanet is related to: PharmGKB is related to: MPO has parent organization: University of Cambridge; Cambridge; United Kingdom |
European Union 7th FPRICORDO project 248502; NHGRI R01 HG004838-02; BBSRC BBG0043581 |
PMID:21737429 | The source code and all data are freely available on http://phenomeblast.googlecode.com | nlx_151667 | SCR_006165 | PhenomeNet - Cross Species Phenotype Network | 2026-02-16 09:46:38 | 13 | |||||
|
Zebrafish Anatomical Ontology Resource Report Resource Website 1+ mentions |
Zebrafish Anatomical Ontology (RRID:SCR_005887) | ZFA | ontology, data or information resource, controlled vocabulary | A structured controlled vocabulary of the anatomy and development of the Zebrafish (Danio rerio). It includes a list of structures, organized hierarchically into an ontology, with descriptions of each structure. The current version is being written by a consortium of researchers, each serving as an expert for a particular set of anatomical structures. Additional anatomical information derived from the current literature is provided by the ZFIN curation group. Development of a complete and uniform anatomical ontology for the zebrafish is vital to the success of zebrafish science. The anatomical ontology is necessary for: * Effective data dissemination and informatics. * A reference framework. * Interoperability. | anatomy, structure, anatomical structure, obo |
is used by: Teleost Anatomy Ontology is recommended by: Zebrafish Brain Atlas is listed by: BioPortal is related to: OBO is related to: Bgee: dataBase for Gene Expression Evolution has parent organization: Zebrafish Information Network (ZFIN) |
nlx_149454 | SCR_005887 | Zebrafish Anatomy and Development Ontology, ZFIN - Zebrafish Anatomical Ontology | 2026-02-16 09:46:42 | 4 | ||||||||
|
MONARCH Initiative Resource Report Resource Website 10+ mentions |
MONARCH Initiative (RRID:SCR_000824) | Monarch | data or information resource, database | Repository of information about model organisms, in vitro models, genes, pathways, gene expression, protein and genetic interactions, orthology, disease, phenotypes, publications, and authors, and ability to navigate multi-scale spatial and temporal phenotypes across in vivo and in vitro model systems in context of genetic and genomic data, using semantics and statistics. Discovery system provides basic and clinical science researchers, informaticists, and medical professionals with integrated interface and set of discovery tools to reveal genetic basis of disease, facilitate hypothesis generation, and identify novel candidate drug targets. Database that indexes authoritative information on experimental models of disease from MGI, RGD and ZFIN. | disease, animal model, phenotype, model organism, in vitro model, gene, pathway, gene expression, protein interaction, genetic interaction, orthology, disease, publication, author, genetic, genomic, model system, genotype, drug, in vivo model |
uses: Animal QTLdb uses: Ensembl Variation uses: Human Phenotype Ontology is used by: NIF Data Federation is related to: Mouse Genome Informatics (MGI) is related to: Rat Genome Database (RGD) is related to: Zebrafish Information Network (ZFIN) is related to: openSNP is related to: Ancora is related to: PhenoGen Informatics is related to: Lifespan Observations Database has parent organization: Oregon Health and Science University; Oregon; USA is parent organization of: monarch-ontologies |
NIH Office of the Director R24 OD011883 | PMID:26269093 | Free, Freely available | r3d100011594, nlx_152525, SCR_001373, nlx_152748 | https://orip.nih.gov/comparative-medicine/programs/genetic-biological-and-information-resources https://doi.org/10.17616/R31M09 |
SCR_000824 | MONARCH Integrated Disease Model, MONARCH Integrated Disease Models View, MONARCH Disease Models View, The MONARCH Initiative | 2026-02-16 09:45:21 | 12 | ||||
|
Zebrafish Brain Atlas Resource Report Resource Website 1+ mentions |
Zebrafish Brain Atlas (RRID:SCR_000606) | Zebrafish Brain Atlas | image repository, atlas, data repository, storage service resource, service resource, data or information resource | Collates and curates neuroanatomical data and information generated both in-house and by community to communicate current state of knowledge about neuroanatomical structures in developing zebrafish. Most of data come from high resolution confocal imaging of intact brains in which neuroanatomical structures are labelled by combinations of transgenes and antibodies. Community repository for image based data related to neuroanatomy of zebrafish. | brain, neuroanatomy, developing, transgene, antibody, confocal, section, reconstruction, high-resolution, developmental stage, embryo, brain structure, confocal imaging, comparative anatomy, transgenic, 3d spatial image, video, embryonic zebrafish, development, annotation, narrative resource, training material, cell repository |
recommends: Zebrafish Anatomical Ontology is listed by: One Mind Biospecimen Bank Listing has parent organization: University College London; London; United Kingdom |
European Union ; Wellcome Trust ; BBSRC |
Public, (Transgenic lines), Freely available for academic use, Creative Commons license, (pending verification), The community can contribute to this resource | nlx_149455 | http://zebrafishucl.org/ | http://www.ucl.ac.uk/zebrafish-group/zebrafishbrain/index.php | SCR_000606 | , zebrafishbrain.org, Zebrafish Brain Atlas | 2026-02-16 09:45:18 | 3 | ||||
|
Information Hyperlinked Over Proteins Resource Report Resource Website 10+ mentions |
Information Hyperlinked Over Proteins (RRID:SCR_004829) | iHOP | service resource, data or information resource, database | Information system that provides a network of concurring genes and proteins extends through the scientific literature touching on phenotypes, pathologies and gene function. It provides this network as a natural way of accessing millions of PubMed abstracts. By using genes and proteins as hyperlinks between sentences and abstracts, the information in PubMed can be converted into one navigable resource, bringing all advantages of the internet to scientific literature research. Moreover, this literature network can be superimposed on experimental interaction data (e.g., yeast-two hybrid data from Drosophila melanogaster and Caenorhabditis elegans) to make possible a simultaneous analysis of new and existing knowledge. The network contains half a million sentences and 30,000 different genes from humans, mice, D. melanogaster, C. elegans, zebrafish, Arabidopsis thaliana, yeast and Escherichia coli. | phenotype, gene, protein, interaction, pathology, physiology, gene network, network, literature, gene function, text-mining, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: PubMed has parent organization: Autonomous University of Madrid; Madrid; Spain |
European Union IST-2001- 32688; European Union QLRT-2001-00015 |
PMID:15226743 | Creative Commons Attribution-NoDerivs License, Works v3 | biotools:ihop, nif-0000-00232, OMICS_01185 | https://bio.tools/ihop | SCR_004829 | iHOP - Information Hyperlinked over Proteins | 2026-02-16 09:46:31 | 24 | ||||
|
FuncAssociate: The Gene Set Functionator Resource Report Resource Website 10+ mentions |
FuncAssociate: The Gene Set Functionator (RRID:SCR_005768) | FuncAssociate | production service resource, service resource, data analysis service, analysis service resource | A web-based tool that accepts as input a list of genes, and returns a list of GO attributes that are over- (or under-) represented among the genes in the input list. Only those over- (or under-) representations that are statistically significant, after correcting for multiple hypotheses testing, are reported. Currently 37 organisms are supported. In addition to the input list of genes, users may specify a) whether this list should be regarded as ordered or unordered; b) the universe of genes to be considered by FuncAssociate; c) whether to report over-, or under-represented attributes, or both; and d) the p-value cutoff. A new version of FuncAssociate supports a wider range of naming schemes for input genes, and uses more frequently updated GO associations. However, some features of the original version, such as sorting by LOD or the option to see the gene-attribute table, are not yet implemented. Platform: Online tool | gene, gene ontology, statistical analysis, web service, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Roth Laboratory |
NIH ; Canadian Institute for Advanced Research ; NINDS NS054052; NINDS NS035611; NHLBI HL081341; NHGRI HG0017115; NHGRI HG004233; NHGRI HG003224 |
PMID:19717575 PMID:14668247 |
Free for academic use, Acknowledgement requested | biotools:funcassociate, OMICS_02264, nlx_149233 | http://llama.mshri.on.ca/cgi/func/funcassociate https://bio.tools/funcassociate |
SCR_005768 | 2026-02-16 09:46:32 | 36 | |||||
|
CRCView Resource Report Resource Website |
CRCView (RRID:SCR_007092) | CRCView | production service resource, service resource, data analysis service, analysis service resource | Web-based microarray data analysis and visualization system powered by CRC, or Chinese Restaurant cluster, a Dirichlet process model-based clustering algorithm recently developed by Dr. Steve Qin. It also incorporates several gene expression analysis programs from Bioconductor, including GOStats, genefilter, and Heatplus. CRCView also installs from the Bioconductor system 78 annotation libraries of microarray chips for human (31), mouse (24), rat (14), zebrafish (1), chicken (1), Drosophila (3), Arabidopsis (2), Caenorhabditis elegans (1), and Xenopus Laevis (1). CRCView allows flexible input data format, automated model-based CRC clustering analysis, rich graphical illustration, and integrated Gene Ontology (GO)-based gene enrichment for efficient annotation and interpretation of clustering results. CRC has the following features comparing to other clustering tools: 1) able to infer number of clusters, 2) able to cluster genes displaying time-shifted and/or inverted correlations, 3) able to tolerate missing genotype data and 4) provide confidence measure for clusters generated. You need to register for an account in the system to store your data and analyses. The data and results can be visited again anytime you log in. | microarray, gene expression, cluster, gene, expression profile, data repository, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Bioconductor is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
University of Michigan; Michigan; USA ; Institutional Fund ; NIH U013422; NIAID 1R21AI057875-01 |
PMID:17485426 | Registration required | biotools:crcview, nlx_99864 | https://bio.tools/crcview | http://helab.bioinformatics.med.umich.edu/crcview/ | SCR_007092 | Chinese Restaurant ClusterView | 2026-02-16 09:46:53 | 0 | |||
|
Zebrafish Neuroscience Research Consortium Resource Report Resource Website |
Zebrafish Neuroscience Research Consortium (RRID:SCR_000298) | ZNRC | group, training resource | A group of scientists who collaborate and promote zebrafish neuroscience research. The consortium has opportunities for networking, scholarly publications and zebrafish-related symposia and conferences. The consortium is a supporter of the Zebrafish Neurophenome Project (ZNP), an initiative for a database of zebrafish behavioral and physiological data in an online, open source format. | zebrafish, consortium, research, publication, scholar, neuroscience, behavioral activity | is parent organization of: Zebrafish Neurophenome Project Database | Available to the research community, Interested labs may join | nlx_151974 | SCR_000298 | Zebrafish Neuroscience Research Consortium (ZNRC) | 2026-02-16 09:45:13 | 0 | |||||||
|
Target genes of Wnt/beta-catenin signaling Resource Report Resource Website 10+ mentions |
Target genes of Wnt/beta-catenin signaling (RRID:SCR_007022) | Target genes of Wnt/beta-catenin signaling | data set, data or information resource | A list of target genes of Wnt/beta-catenin signaling. Suggestions for additions are welcome. Direct targets are defined as those with Tcf binding sites and demonstrating that these sites are important. | target gene, wnt/beta-catenin signaling, wnt, beta-catenin, signaling, gene | has parent organization: Stanford University; Stanford; California | Colon cancer, Tumor, Adenocarcinoma, Melanoma, Cancer | The community can contribute to this resource | nlx_156867 | SCR_007022 | 2026-02-16 09:46:52 | 24 | |||||||
|
UniProt Chordata protein annotation program Resource Report Resource Website |
UniProt Chordata protein annotation program (RRID:SCR_007071) | Chordata protein annotation program | data set, data or information resource | Data set of manually annotated chordata-specific proteins as well as those that are widely conserved. The program keeps existing human entries up-to-date and broadens the manual annotation to other vertebrate species, especially model organisms, including great apes, cow, mouse, rat, chicken, zebrafish, as well as Xenopus laevis and Xenopus tropicalis. A draft of the complete human proteome is available in UniProtKB/Swiss-Prot and one of the current priorities of the Chordata protein annotation program is to improve the quality of human sequences provided. To this aim, they are updating sequences which show discrepancies with those predicted from the genome sequence. Dubious isoforms, sequences based on experimental artifacts and protein products derived from erroneous gene model predictions are also revisited. This work is in part done in collaboration with the Hinxton Sequence Forum (HSF), which allows active exchange between UniProt, HAVANA, Ensembl and HGNC groups, as well as with RefSeq database. UniProt is a member of the Consensus CDS project and thye are in the process of reviewing their records to support convergence towards a standard set of protein annotation. They also continuously update human entries with functional annotation, including novel structural, post-translational modification, interaction and enzymatic activity data. In order to identify candidates for re-annotation, they use, among others, information extraction tools such as the STRING database. In addition, they regularly add new sequence variants and maintain disease information. Indeed, this annotation program includes the Variation Annotation Program, the goal of which is to annotate all known human genetic diseases and disease-linked protein variants, as well as neutral polymorphisms. | chordata, protein, protein annotation, functional annotation, human, non-human vertebrate, xenopus laevis, xenopus tropicalis, zebrafish, protein sequence, protein sequencing, nucleotide sequence, sequence, annotation, sequence variant, disease, proteome, gold standard |
is related to: Human Proteomics Initiative is related to: UniProtKB has parent organization: UniProt |
nlx_143879 | SCR_007071 | 2026-02-16 09:46:52 | 0 | |||||||||
|
Integrated Nervous System Connectivity Resource Report Resource Website |
Integrated Nervous System Connectivity (RRID:SCR_006391) | NSC | data set, data or information resource | A data set of connectivity statements from BAMS, CoCoMac, BrainMaps, Connectome Wiki, the Hippocampal-Parahippocampal Table of Temporal-Lobe.com, and Avian Brain Circuitry Database. The data set lists which brain sites connectivity is to and from, the organism connectivity is mapped in, and journal references. | connectivity, nervous system, macaque, brain, bird, data set |
uses: Avian Brain Circuitry Database uses: Temporal-Lobe: Hippocampal - Parahippocampal Neuroanatomy of the Rat uses: Connectome Wiki uses: BrainMaps.org uses: CoCoMac uses: Brain Architecture Management System uses: BlueBrain Bluima Connectivity is used by: NIF Data Federation has parent organization: Integrated |
Data are licensed by their respective owners, Use and distribution is subject to the terms of use by the original resource | nif-0000-07732 | https://legacy.neuinfo.org/mynif/search.php?q=*&t=indexable&list=cover&nif=nlx_154697-8 https://neuinfo.org/mynif/search.php?q=*&t=indexable&list=cover&nif=nlx_154697-8, http://neuinfo.org/nif/nifgwt.html?query=nif-0000-07732, https://www.neuinfo.org/mynif/search.php?q=*&t=indexable&nif=nif-0000-07732-1 | SCR_006391 | NIF Integrated Nervous System Connectivity View, Neuroscience Information Framework Integrated Nervous System Connectivity, Integrated NSC View, Integrated NSC, NIF NSC, NIF Integrated NSC, Integrated Nervous System Connectivity View, Nervous System Connectivity | 2026-02-16 09:46:45 | 0 | ||||||
|
Duke O'Brien Center for Kidney Research Animal Models Core Resource Report Resource Website |
Duke O'Brien Center for Kidney Research Animal Models Core (RRID:SCR_015267) | service resource, core facility, access service resource, resource | Core facility that provides access to a range of experimental models of kidney, heart and vascular diseases. It also provides comprehensive phenotyping services for kidney functions, blood pressure and other cardiovascular functions. | animal model, experimental kidney model, experimental heart model, experimental vascular model |
is listed by: NIDDK Information Network (dkNET) has parent organization: Duke O'Brien Center for Kidney Research has parent organization: Duke University School of Medicine; North Carolina; USA has parent organization: Duke University; North Carolina; USA is organization facet of: Duke O'Brien Center for Kidney Research |
kidney disease, heart disease, hypertension, muscle disease | NIDDK P30DK096493 | Available to the research community | SCR_015267 | 2026-02-16 09:48:45 | 0 | ||||||||
|
UAB Hepatorenal Fibrocystic Diseases Core Center Engineered Models Resource Resource Report Resource Website |
UAB Hepatorenal Fibrocystic Diseases Core Center Engineered Models Resource (RRID:SCR_015310) | service resource, core facility, access service resource, resource | Core whose goals include Generation of New Animal and Cell Models of HRFDs, to establish In Vivo Biosensors to Study Signaling Pathways Involved in HRFD Ciliopathies, and to generate and distribute HRFD Related Biologicals to the Center?s Investigator Base. | HRFD genes, engineered models |
is listed by: NIDDK Information Network (dkNET) has parent organization: UAB Hepatorenal Fibrocystic Diseases Core Center is organization facet of: UAB Hepatorenal Fibrocystic Diseases Core Center |
Hepatorenal Fibrocystic Disease | NIDDK P30DK074038 | Available to the research community, Acknowledgement requested | SCR_015310 | 2026-02-16 09:48:46 | 0 | ||||||||
|
Translational Polycystic Kidney Disease (PKD) Center at Mayo Clinic Rochester Model Systems Core Resource Report Resource Website |
Translational Polycystic Kidney Disease (PKD) Center at Mayo Clinic Rochester Model Systems Core (RRID:SCR_015312) | service resource, core facility, access service resource, resource | Core that makes available PKD model systems and technologies to PKD researchers at Mayo and at other institutions. Its services include C. elegans PKD-targeted services, Zebrafish PKD-targeted services, and Rodent PKD-targeted services. | model systems, c. elegans, zebrafish, rodents, PKD genes |
is listed by: NIDDK Information Network (dkNET) has parent organization: Mayo Clinic Minnesota; Minnesota; USA has parent organization: Translational Polycystic Kidney Disease (PKD) Center at Mayo Clinic Rochester is organization facet of: Translational Polycystic Kidney Disease (PKD) Center at Mayo Clinic Rochester |
Polycystic Kidney Disease | NIDDK P30DK090728 | Available to the research community | SCR_015312 | 2026-02-16 09:48:54 | 0 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.