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http://www.aiddata.org/

Portal of information about international economic development assistance, dating back to 1947, that includes a database of nearly one million past and present aid activities around the world, aid information management services and tools, data visualization technologies, and research designed to increase understanding of development finance. AidData is searchable by topic such as disaster prevention, energy supply, water supply or reconstruction relief. You may also search by specific regions including Africa, Europe, America, Asia, or Oceania.

Proper citation: AidData (RRID:SCR_010480) Copy   

•   Source: SciCrunch Registry

http://www.aoos.org/

Portal for ocean and coastal observations data. They address regional and national needs for ocean information, gather specific data on key coastal and ocean variables, and ensure timely and sustained dissemination and availability of these data. . AOOS programmatic focus areas are: * Safe marine operations * Coastal hazard mitigation * Tracking ecosystem and climate trends * Monitoring water quality

Proper citation: Alaska Ocean Observing System (RRID:SCR_010481) Copy   

•   Source: SciCrunch Registry

https://www.nihstrokenet.org/#annotations:4TlyYopcEeaUdC-3RQ97KQ

NIH network designed to follow and help conduct clinical trials and research studies investigating acute stroke treatment, stroke prevention, and stroke recovery and rehabilitation. Clinical trials are listed once they are reviewed, approved, and ready for volunteer recruitment.

Proper citation: NIH StrokeNet (RRID:SCR_014648) Copy   

•   Source: SciCrunch Registry

https://www.broadinstitute.org/ccle/

A collaborative project between the Broad Institute and the Novartis Institutes for Biomedical Research and its Genomics Institute of the Novartis Research Foundation, with the goal of conducting a detailed genetic and pharmacologic characterization of a large panel of human cancer models. The CCLE also works to develop integrated computational analyses that link distinct pharmacologic vulnerabilities to genomic patterns and to translate cell line integrative genomics into cancer patient stratification. The CCLE provides public access to genomic data, analysis and visualization for about 1000 cell lines.

Proper citation: Cancer Cell Line Encyclopedia (RRID:SCR_013836) Copy   

•   Source: SciCrunch Registry

http://expertnet.org

A portal that connects users to reserch expertise and resources within Florida's universities. Users can search for experts (principal investigators), funded research projects, centers and institutes, technology licensing opportunities, speakers, and instructional programs.

Proper citation: Florida ExpertNet (RRID:SCR_013959) Copy   

•   Source: SciCrunch Registry

http://www.ucl.ac.uk/ploras#annotations:QXuC2C7REeaxtw-aEPo07Q

A research project investigating the difficulties of recovering language after stroke (aphasia). The overall aim of the study is to give future stroke survivors accurate predictions of their aphasia recovery by creating clinical tools and discerning why some patients recover from aphasia better than others.

Proper citation: Predicting Language Outcome and Recovery After Stroke (PLORAS) (RRID:SCR_014498) Copy   

•   Source: SciCrunch Registry

http://snap-graph.sourceforge.net

SNAP (Small-world Network Analysis and Partitioning) is an extensible parallel framework for exploratory analysis and partitioning of large-scale networks. SNAP is implemented in C, uses OpenMP primitives for parallelization, and targets sequential, multicore, and symmetric multiprocessor platforms. Our intent with SNAP is to provide a simple and intuitive interface for network analysis and application design, hiding the parallel programming complexity from the user. In addition to path-based, centrality, and community identification queries on large-scale graphs, we support commonly-used preprocessing kernels and quantitative measures that help understand the global network topology. The latest version of SNAP (0.4) was released in August 2010. Sponsors: This work was supported in part by NSF Grants CAREER CCF-0611589, NSF DBI-0420513, ITR EF/BIO 03-31654, IBM Faculty Fellowship and Microsoft Research grants, NASA grant NP-2005-07-375-HQ, and DARPA Contract NBCH30390004. Keywords: network, analysis, software, graph, traversal, betweenness centrality, community, identification, multicore,

Proper citation: Small-world Network Analysis and Partitioning (RRID:SCR_013662) Copy   

•   Source: SciCrunch Registry

https://commonfund.nih.gov/metabolomics/index

A US national program which supoorts the development of technologies in order to enhance the metabolomics field. It specifically increases the national metabolomics research capacity by supporting five core programs: Training in Metabolomics, Metabolomics Technology Development, Metabolomics Reference Standard Synthesis, Metabolomics Data Sharing and International Collaboration, and Comprehensive Metabolomics Resource Cores.

Proper citation: NIH Metabolomics program (RRID:SCR_014634) Copy   

•   Source: SciCrunch Registry

http://surfer.nmr.mgh.harvard.edu/fswiki/Tracula

Software tool developed for automatically reconstructing a set of major white matter pathways in the brain from diffusion weighted images using probabilistic tractography. This method utilizes prior information on the anatomy of the pathways from a set of training subjects. By incorporating this prior knowledge in the reconstruction procedure, our method obviates the need for manual intervention with the tract solutions at a later stage and thus facilitates the application of tractography to large studies. The trac-all script is used to preprocess raw diffusion data (correcting for eddy current distortion and B0 field inhomogenities), register them to common spaces, model and reconstruct major white matter pathways (included in the atlas) without any manual intervention. trac-all may be used to execute all the above steps or parts of it depending on the dataset and user''''s preference for analyzing diffusion data. Alternatively, scripts exist to execute chunks of each processing pipeline, and individual commands may be run to execute a single processing step. To explore all the options in running trac-all please refer to the trac-all wiki. In order to use this script to reconstruct tracts in Diffusion images, all the subjects in the dataset must have Freesurfer Recons.

Proper citation: TRACULA (RRID:SCR_013152) Copy   

•   Source: SciCrunch Registry

http://nice.org.uk/

An international team that works on a fee-for-service basis with policy makers and clinicians around the world to promote evidence-based decision making in healthcare.

Proper citation: National Institute for Health and Care Excellence (RRID:SCR_012957) Copy   

•   Source: SciCrunch Registry

http://workspace.earthcube.org/bcube

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 17,2023. Project that brings together an internationally recognized team of geo- and social-scientists, cyberinfrastructure experts and educators to explore how expert systems can mediate interactions and improve access between scientific fields. To address complex Earth system issues such as climate change and water resources, geoscientists must work across disciplinary boundaries, which requires them to access data outside of their fields. The initial focus is on hydrology, oceans, polar and weather, with the intent to make the technology applicable and available to all the geosciences. The team''s social scientists and educators will research how technology can improve knowledge exchange between scientific communities.

Proper citation: BCube A Broker Framework for Next Generation Geoscience (RRID:SCR_012765) Copy   

•   Source: SciCrunch Registry

https://dctd.cancer.gov/programs/cdp/organization/bbrb

BBRB supports medical discovery and precision medicine by providing leadership, tools, and resources to the biobanking community. Provides input on policy related to biobanking and supports the availability of biospecimens for research. Develops standardized procedures for biospecimen science and research; conducts and sponsors research on the effects of biospecimen preanalytical factors; leads and supports major scientific initiatives requiring high-quality biospecimens; and supports investigations into the ethical, legal, and social issues concerning biospecimen collection and use.

Proper citation: Biorepositories and Biospecimens Research Branch (RRID:SCR_013979) Copy   

•   Source: SciCrunch Registry

https://www.openaire.eu/

A research portal to share and obtain research data and journal articles openly accessible to all disciplines. Established to support the Open Access Policy, as set out by the ERC Scientific Council Guidelines for Open Access and the Open Access pilot launched by the European Commission.

Proper citation: OpenAIRE (RRID:SCR_013740) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/gsa-snp/

A tool for the gene-set (or pathway) analysis of a genome-wide association study result. It accepts a genome-wide list of SNPs and their association P-values. It summarizes the SNP P-values into nearby genes. The gene-by-gene summary results are then further summarized by gene-sets such as Gene Ontology, KEGG pathways, or user-created gene-sets. Various standardization and statistical tests can be performed and the resulting gene-sets that pass a significance level after multiple-testing correction are reported. The tool is written in Java and is available as a standalone version.

Proper citation: GSA-SNP (RRID:SCR_013109) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://www.bioinformatics.babraham.ac.uk/projects/trim_galore/

Software tool to automate quality and adapter trimming as well as quality control, with some added functionality to remove biased methylation positions for RRBS sequence files for directional, non-directional or paired-end sequencing. Wrapper around Cutadapt and FastQC to consistently apply adapter and quality trimming to FastQ files, with extra functionality for Reduced Representation Bisulfite Sequencing data.

Proper citation: Trim Galore (RRID:SCR_011847) Copy   

•   Source: SciCrunch Registry

http://www.dfg.de/en/index.jsp

German research awards.Central self governing research funding organisation in Germany. Serves sciences and humanities and promotes research at universities and non-university research institutions. The focus is on funding projects developed by academic community.

Proper citation: German Research Foundation (RRID:SCR_012420) Copy   

•   Source: SciCrunch Registry

http://ncmir.ucsd.edu/Software/btrack.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. It analyzes and graphs time-lapse imaging data as acquired by a Bio-Rad confocal microscope, for experiments using nonratiometric fluorescent indicator dyes. Btrack can accommodate changes in the positions of imaged cells/tissue regions and can be used for analyzing an unlimited number of areas (cells/tissue regions) in an imaged field.

Proper citation: btrack (RRID:SCR_013591) Copy   

•   Source: SciCrunch Registry

http://www.hgsc.bcm.tmc.edu/content/hapmap-3-and-encode-3

Draft release 3 for genome-wide SNP genotyping and targeted sequencing in DNA samples from a variety of human populations (sometimes referred to as the HapMap 3 samples). This release contains the following data: * SNP genotype data generated from 1184 samples, collected using two platforms: the Illumina Human1M (by the Wellcome Trust Sanger Institute) and the Affymetrix SNP 6.0 (by the Broad Institute). Data from the two platforms have been merged for this release. * PCR-based resequencing data (by Baylor College of Medicine Human Genome Sequencing Center) across ten 100-kb regions (collectively referred to as ENCODE 3) in 712 samples. Since this is a draft release, please check this site regularly for updates and new releases. The HapMap 3 sample collection comprises 1,301 samples (including the original 270 samples used in Phase I and II of the International HapMap Project) from 11 populations, listed below alphabetically by their 3-letter labels. Five of the ten ENCODE 3 regions overlap with the HapMap-ENCODE regions; the other five are regions selected at random from the ENCODE target regions (excluding the 10 HapMap-ENCODE regions). All ENCODE 3 regions are 100-kb in size, and are centered within each respective ENCODE region. The HapMap 3 and ENCORE 3 data are downloadable from the ftp site.

Proper citation: HapMap 3 and ENCODE 3 (RRID:SCR_004563) Copy   

•   Source: SciCrunch Registry

http://www.cas.org/expertise/cascontent/registry/index.html

CAS REGISTRY, the gold standard for substance information, is the only integrated, comprehensive source of chemical information from a full range of disclosed material including patents, journals, and reputable web sources. When you need to positively identify a chemical substance, you can rely on the authoritative source for chemical names and structures of CAS REGISTRY. CAS databases are curated and quality-controlled by CAS scientists, and recognized by chemical and pharmaceutical companies, universities, government organizations, and patent offices around the world as authoritative. By combining these databases with advanced search and analysis technologies (SciFinder, STN, and Science IP products and services), CAS delivers the most current, complete, and cross-linked secure digital information environment for scientific discovery. You can identify your substance of interest by its CAS Registry Number, which is the best way to identify a substance, regardless of what name you have for it. You can also use CAS REGISTRY to locate * literature references to the substance * experimental and predicted property data (boiling and melting points, etc.) * commercial availability * preparative methods * spectra * regulatory information from international sources

Proper citation: CAS REGISTRY (RRID:SCR_004558) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/dbfetch/dbfetch

Dbfetch is an acronym for database fetch. Dbfetch provides an easy way to retrieve entries from various databases at the EBI in a consistent manner and allows you to retrieve up to 50 entries at a time from various up-to-date biological databases. It can be used from any browser as well as well as within a web-aware scripting tool that uses wget, lynx or similar. From the browser, follow these instructions... * Select a database: If you are using the first form to paste your search items: choose a database name from this form. If you are using the second form to upload your search items: the database name is included at the beginning of each line line of the upload file followed by a colon. * Enter search terms: These MUST BE in the appropriate database format, up to 200 search items can be queried in one run. If you are using the first form: separate search items with a comma or space. If you are using the second form: separate search items with a new line. * Choose an output format: Here you can choose the simpler fasta format, or the databases'''' default format for the chosen database. * Style: You can get your results as text or html. * Retrieve! - You are now ready to fetch your results, by pressing the Retrieve button.

Proper citation: EBI Dbfetch (RRID:SCR_004393) Copy   

•   Source: SciCrunch Registry