Searching the RRID Resource Information Network
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.
This page contains the Influenza Surveillance Report during 2008-2009 Influenza Season Week 15, ending April 18, 2009.
Proper citation: FluView: A Weekly Influenza Surveillance Report (RRID:SCR_001118) Copy
Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB.
Proper citation: UniProt (RRID:SCR_002380) Copy
Portal for Twins Research Australia. Brings twins and researchers together for vital health research in twins.
Proper citation: Twins Research Australia (RRID:SCR_017485) Copy
Portal as central source of Australian open government data. Used to find, explore and reuse Australia public data. Anyone can access the anonymised public data published by federal, state and local government agencies, publicly funded research data and datasets from private institutions that are in public interest.
Proper citation: Australian Government Data Portal (RRID:SCR_019159) Copy
http://locustdb.genomics.org.cn/
The migratory locust (Locusta migratoria) is an orthopteran pest and a representative member of hemimetabolous insects. Its transcriptomic data provide invaluable information for molecular entomology study of the insect and pave a way for comparative studies of other medically, agronomically, and ecologically relevant insects. This first transcriptomic database of the locust (LocustDB) has been developed, building necessary infrastructures to integrate, organize, and retrieve data that are either currently available or to be acquired in the future. It currently hosts 45,474 high quality EST sequences from the locust, which were assembled into 12,161 unigenes. This database contains original sequence data, including homologous/orthologous sequences, functional annotations, pathway analysis, and codon usage, based on conserved orthologous groups (COG), gene ontology (GO), protein domain (InterPro), and functional pathways (KEGG). It also provides information from comparative analysis based on data from the migratory locust and five other invertebrate species, such as the silkworm, the honeybee, the fruitfly, the mosquito and the nematode. LocustDB also provides information from comparative analysis based on data from the migratory locust and five other invertebrate species, such as the silkworm, the honeybee, the fruitfly, the mosquito and the nematode. It starts with the first transcriptome information for an orthopteran and hemimetabolous insect and will be extended to provide a framework for incorporation of in-coming genomic data of relevant insect groups and a workbench for cross-species comparative studies.
Proper citation: Migratory Locust EST Database (RRID:SCR_008201) Copy
https://epilepsy.uni-freiburg.de/freiburg-seizure-prediction-project
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 29,2025. Electroencephalogram (EEG) data recorded from invasive and scalp electrodes. The EEG database contains invasive EEG recordings of 21 patients suffering from medically intractable focal epilepsy. The data were recorded during an invasive pre-surgical epilepsy monitoring at the Epilepsy Center of the University Hospital of Freiburg, Germany. In eleven patients, the epileptic focus was located in neocortical brain structures, in eight patients in the hippocampus, and in two patients in both. In order to obtain a high signal-to-noise ratio, fewer artifacts, and to record directly from focal areas, intracranial grid-, strip-, and depth-electrodes were utilized. The EEG data were acquired using a Neurofile NT digital video EEG system with 128 channels, 256 Hz sampling rate, and a 16 bit analogue-to-digital converter. Notch or band pass filters have not been applied. For each of the patients, there are datasets called ictal and interictal, the former containing files with epileptic seizures and at least 50 min pre-ictal data. the latter containing approximately 24 hours of EEG-recordings without seizure activity. At least 24 h of continuous interictal recordings are available for 13 patients. For the remaining patients interictal invasive EEG data consisting of less than 24 h were joined together, to end up with at least 24 h per patient. An interdisciplinary project between: * Epilepsy Center, University Hospital Freiburg * Bernstein Center for Computational Neuroscience (BCCN), Freiburg * Freiburg Center for Data Analysis and Modeling (FDM).
Proper citation: Electroencephalogram Database: Prediction of Epileptic Seizures (RRID:SCR_008032) Copy
http://amazonia.montp.inserm.fr/
A web interface and associated tools for easy query of public human transcriptome data by keyword, through thematic pages with list annotations. Amazonia provides a thematic entry to public transcriptomes: users may for instance query a gene on a Stem Cells page, where they will see the expression of their favorite gene across selected microarray experiments related to stem cell biology. This selection of samples can be customized at will among the 6331 samples currently present in the database. Every transcriptome study results in the identification of lists of genes relevant to a given biological condition. In order to include this valuable information in any new query in the Amazonia database, they indicate for each gene in which lists it is included. This is a straightforward and efficient way to synthesize hundreds of microarray publications., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: AmaZonia: Explore the Jungle of Microarrays Results (RRID:SCR_008405) Copy
http://www.molecularbrain.org/
MolecularBrain is an attempt to collect, collates, analyze and present the microarray derived gene expression data from various brain regions side by side. Transcription Profile of any gene in Mouse (online) and Human Brain (not yet) can be accessed as a histogram along with links to access various aspects of that gene. The expression levels were calculated from microarray data deposited at GEO (Gene expression omnibus). The molecular brain database could be searched using the built in search tool with the terms Entrez GeneID, gene symbol, synonym or description. Gene information along with their expression values can be also accessed from the alphabetical list of gene symbols on the footer. The protocol and GEO sample information is available.
Proper citation: Molecular Brain: Transcription Profiles of Mouse and Human Brains (RRID:SCR_008689) Copy
http://neuromorphometrics.com/?page_id=23
Collection of neuroanatomically labeled MRI brain scans, created by neuroanatomical experts. Regions of interest include the sub-cortical structures (thalamus, caudate, putamen, hippocampus, etc), along with ventricles, brain stem, cerebellum, and gray and white matter and sub-divided cortex into parcellation units that are defined by gyral and sulcal landmarks.
Proper citation: Manually Labeled MRI Brain Scan Database (RRID:SCR_009604) Copy
Collection of publicly available data of curated receptors, ligands and their interactions. Integrates existing datasets that pertain to cellular communication and new manually reviewed information. Used to search for particular ligand or receptor or to interrogate single cell transcriptomics data.
Proper citation: CellPhoneDB (RRID:SCR_017054) Copy
Collection of open chromatin regions from sequencing data. Metadata as entire curated DNase-I hypersensitive sites (DHS) on the whole genome datasets and data specific to each chromosome.
Proper citation: Database of Open Chromatin Regions (RRID:SCR_016614) Copy
Data collection of large scale genome wide DNA methylation analysis of 1,000 mother-child pairs at serial time points across life course (ARIES).
Proper citation: mqtldb (RRID:SCR_018002) Copy
Open source object relational database system that uses and extends SQL language combined with many features that safely store and scale the most complicated data workloads. PostgreSQL runs on all major operating systems.
Proper citation: PostgreSQL (RRID:SCR_021067) Copy
Abstract and indexing database with full text links that is produced by Elsevier Co. Combines expertly curated abstract and citation database with enriched data and linked scholarly literature across wide variety of disciplines.
Proper citation: Scopus (RRID:SCR_022559) Copy
https://github.com/clinwiki-org/clinwiki
Clinical trials database.
Proper citation: ClinWiki (RRID:SCR_021297) Copy
Network of healthcare organizations, together with data partners in Brazil, South Korea, and Japan, to bring clinical facts on more than 250 million patients around the world. Federated model so users of this data are ensured new patients, observations, and results every day, all harmonized to standard terminology like ICD-10 and LOINC without any data wrangling required at the point of care. The raw data is not available to authors of papers and papers in medicine are being retracted.
Proper citation: trinetx (RRID:SCR_022760) Copy
http://www.niddk.nih.gov/research-funding/research-resources/Pages/default.aspx
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 29,2023. Registry listing NIDDK resources, such as reagents, data, and protocols. They are derived from publicly available information provided by NIDDK-funded investigators, projects, and publications.
Proper citation: NIDDK Research Resources (RRID:SCR_014372) Copy
https://www.gem-beta.org/Public/Home.aspx
Database that contains behavioral and social science measures organized by theoretical constructs. GEM is designed to enable researchers to use common measures with the goal of exchanging harmonized data.
Proper citation: Grid-Enabled Measures Database (RRID:SCR_016043) Copy
http://www.informatics.jax.org/genes.shtml
Searchable database of mouse genes, DNA segments, cytogenetic markers and QTLs. MGI provides access to integrated data on mouse genes and genome features, from sequences and genomic maps to gene expression and disease models.
Proper citation: Genes, Genome Features and Maps (RRID:SCR_017524) Copy
Collection of transcription factor microRNA regulations. TransmiR v2.0 manually curated TF-miRNA regulations from publications during 2013-2017 and included ChIP-seq-derived TF-miRNA regulation data.
Proper citation: TransmiR (RRID:SCR_017499) Copy
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 SPARC SAWG Resources search. From here you can search through a compilation of resources used by SPARC SAWG and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that SPARC SAWG 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 SPARC SAWG then you can log in from here to get additional features in SPARC SAWG 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:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into SPARC SAWG you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within SPARC SAWG that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
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.
