Tools   Select Another Resource Report Type

http://rgd.mcw.edu/rgdCuration/?module=portal&func=show&name=renal

An integrated resource for information on genes, QTLs and strains associated with a variety of kidney and renal system conditions such as Renal Hypertension, Polycystic Kidney Disease and Renal Insufficiency, as well as Kidney Neoplasms.

Proper citation: Renal Disease Portal (RRID:SCR_009030) Copy   

•   Source: SciCrunch Registry

http://www.ngdc.noaa.gov/

National Data Center that provides scientific stewardship, products, and services for geophysical data from sea floor and solid earth environments, including Earth observations from space. Please note that routine underway geophyiscal shipboard data collected with standard equipment aboard the UNOLS fleet (e.g. bathymetry, subbottom, magnetics, gravity) are routinely transmitted to NGDC via Rolling Deck to Repository (R2R).

Proper citation: National Geophysical Data Center (RRID:SCR_009429) Copy   

•   Source: SciCrunch Registry

https://www.ncdc.noaa.gov/

National Data Center that accepts and makes available weather, climate, paleoclimate, meteorological data.

Proper citation: National Climatic Data Center (RRID:SCR_009427) Copy   

•   Source: SciCrunch Registry

https://portal.dbmi.hms.harvard.edu/projects/GRDR/

Data repository of de-identified patient data, aggregated in a standardized manner, to enable analyses across many rare diseases and to facilitate various research projects, clinical studies, and clinical trials. The aim is to facilitate drug and therapeutics development, and to improve the quality of life for the many millions of people who are suffering from rare diseases. The goal of GRDR is to enable analyses of data across many rare diseases and to facilitate clinical trials and other studies. During the two-year pilot program, a web-based template will be developed to allow any patient organization to establish a rare disease patient registry. At the conclusion of the program, guidance will be available to patient groups to establish a registry and to contribute de-identified patient data to the GRDR repository. A Request for Information (RFI) was released on February 10, 2012 requesting information from patient groups about their interest in participating in a GRDR pilot project. ORDR selected 30 patient organizations to participate in this pilot program to test the different functionalities of the GRDR. Fifteen (15) organizations with established registries and 15 organizations that do not have patient registry. The 15 patient groups, each without a registry, were selected to assist in testing the implementation of the ORDR Common Data Elements (CDEs) in the newly developed registry infrastructure. These organizations will participate in the development and promotion of a new patient registry for their rare disease. The GRDR program will fund the development and hosting of the registry during the pilot program. Thereafter, the patient registry is expected to be self-sustaining.The 15 established patient registries were selected to integrate their de-identified data into the GRDR to evaluate the data mapping and data import/export processes. The GRDR team will assist these organizations in mapping their existing registry data to the CDEs. Participating registries must have a means to export their de-identified registry data into a specified data format that will facilitate loading the data into the GRDR repository on a regular basis. The GRDR will also develop the capability to link patients'''' data and medical information to donated biospecimens by using a Voluntary Global Unique Patient Identifier (GUID). The identifier will enable the creation of an interface between the patient registries that are linked to biorepositories and the Rare Disease Human Biospecimens/Biorepositories (RD-HUB) http://biospecimens.ordr.info.nih.gov/.

Proper citation: GRDR (RRID:SCR_008978) Copy   

•   Source: SciCrunch Registry

http://www.jst.go.jp/csc/virtual/find/mindlab/english/base.html

Interactive laboratory of the mind composed of 4 themed sessions housing four short introductory movies and sixteen trials with those you can experience visual phenomena and illusions used for study in psychological experiments.

Proper citation: Mind Lab (RRID:SCR_009025) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.ua.pt/software/mfcompress/

A compression tool for FASTA and multi-FASTA files.

Proper citation: MFCompress (RRID:SCR_009301) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.research.nicta.com.au/software/rlz/

Optimized relative Lempel-Ziv compression of genomes.

Proper citation: RLZ (RRID:SCR_009420) Copy   

•   Source: SciCrunch Registry

http://ftp://ftp.ieeta.pt/~ap/codecs/GReEn1.tar.gz

A compression tool recently proposed for compressing genome resequencing data using a reference genome sequence., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GReEn (RRID:SCR_009264) Copy   

•   Source: SciCrunch Registry

http://ageing-map.org/

Database of age-related changes covering different biological levels, including molecular, physiological, psychological and pathological age-related data, to create an interactive portal that serves as a centralized collection of human aging changes and pathologies. To facilitate integrative, system-level studies of aging, the DAA provides a centralized source for aging-related data as well as basic tools to query and visualize the data, including anatomical models. Data in the DAA is manually curated from the literature and retrieved from public databases. For more detailed analyses users are able to download the entire database. More information on how to use the DAA is available on the help page. The DAA primarily focuses on human aging, but also includes supplementary mouse data, in particular gene expression data, to enhance and expand the information on human aging. If you would like to contribute to the database yourself, for instance if you have new data on aging, please use the contribute page to submit your data.

Proper citation: Digital Ageing Atlas (RRID:SCR_009020) Copy   

•   Source: SciCrunch Registry

https://github.com/lpantano/seqbuster

Software tool for processing and analysis of small RNAs datasets.Reveals ubiquitous miRNA modifications in human embryonic cells.

Proper citation: SeqBuster (RRID:SCR_009616) Copy   

•   Source: SciCrunch Registry

http://www.pstnet.com/hardware.cfm?ID=91

Instrument that accurately gathers participant responses and verifies signals. The Celeritas Series response units are assembled using high-impact, chemical resistant, medical grade plastic. The response units include a tactile indicator to ensure correct finger placement during experiments and comfortably attach to the participant?s wrists. The units communicate button presses through fiber optic cabling which connects to a Fiber Optic Interface Console located in the control room through an available wave guide. The interface console provides real-time feedback of participant responses via LED indicators and includes a set of switches which can be used to make responses for the participant as needed.

Proper citation: Fiber Optic Button Response System (RRID:SCR_009577) Copy   

•   Source: SciCrunch Registry

http://oregonstate.edu/

Public research university in Corvallis, Oregon. The university currently offers more than 200 undergraduate-degree programs along with a variety of graduate and doctoral degrees.

Proper citation: Oregon State University; Oregon; USA (RRID:SCR_009731) Copy   

•   Source: SciCrunch Registry

http://nrg.wustl.edu/projects/fiv

A tool for visualizing functional and anatomic MRI data.

Proper citation: FIV (RRID:SCR_009575) Copy   

•   Source: SciCrunch Registry

http://www.ncigt.org/pages/Research_Projects/ImagingCoreToolbox/Imaging_Toolkit

This software provides algorithms for the reconstruction of raw MR data. In particular, it supports the reconstruction of accelerated data acquisitions where k-space is subsampled and the Fourier domain encoding is complemented by temporal encoding, spatial encoding, or and/or a constrained reconstruction. This library of functions provides a number of reconstruction algorithms that accurately employ advanced MR imaging methods including: UNFOLD; parallel imaging methods such as SENSE and GRAPPA; Homodyne processing of partial-Fourier data, and gradient field inhomogeneity correction (gradwarp); EPI Nyquist Ghost correction and ramp-sampling gridding. The target audience is research groups who may be interested in exploring or employing advanced MR reconstruction techniques, but don't have the necessary expertise in-house. Inquires may be directed to: ncigt-imaging-toolkit -at- bwh.harvard.edu

Proper citation: NCIGT Fast Imaging Library (RRID:SCR_009609) Copy   

•   Source: SciCrunch Registry

http://www.mazesuite.com/

A complete set of tools that enables researchers to perform spatial and navigational behavior experiments within interactive, easy to create, and extendable (e.g., multiple rooms) 3D virtual environments. MazeSuite can be used to design/edit adapted 3D environments where subjects? behavioral performance can be tracked. Maze Suite consists of three main applications; an editing program to create and alter maps (MazeMaker), a visualization/rendering module (MazeWalker), and finally an analysis/mapping tool (MazeAnalyzer). Additionally, MazeSuite has the capabilities of sending signal pulses to physiological recording devices using standard computer ports. MazeSuite, with all 3 applications, is a unique and complete toolset for researchers who want to easily and rapidly deploy interactive 3D environments. Requirements Maze Suite is designed for Windows 7, Windows Vista and Windows XP. 3D rendering quality depends on available graphics card hardware; OpenGL 2.1 or above compliant is recommended. For Windows XP systems, .NET Framework Version 2.0 or above is required and can be downloaded from Microsoft's website.

Proper citation: MazeSuite (RRID:SCR_009606) Copy   

•   Source: SciCrunch Registry

http://ric.uthscsa.edu/mango/

A viewer for medical research images that provides analysis tools and a user interface to navigate image volumes. There are three versions of Mango, each geared for a different platform: * Mango ? Desktop ? Mac OS X, Windows, and Linux * webMango ? Browser ? Safari, Firefox, Chrome, and Internet Explorer * iMango ? Mobile ? Apple iPad Key Features: * Built-in support for DICOM, NIFTI, Analyze, and NEMA-DES formats * Customizable: Create plugins, custom filters, color tables, file formats, and atlases * ROI Editing: Threshold and component-based tools for painting and tracing ROIs * Surface Rendering: Interactive surface models supporting cut planes and overlays * Image Registration: Semi-automatic image coregistration and manual transform editing * Image Stacking: Threshold and transparency-based image overlay stacking * Analysis: Histogram, cross-section, time-series analysis, image and ROI statistics * Processing: Kernel and rank filtering, arithmetic/logic image and ROI calculators

Proper citation: Mango (RRID:SCR_009603) Copy   

•   Source: SciCrunch Registry

http://visual.cs.utsa.edu/eegvis

A MATLAB toolbox for exploration of multi-channel EEG and other large array-based data sets using multi-scale drill-down techniques. The toolbox can be used directly in MATLAB at any stage in a user's processing pipeline, as a plug in for EEGLAB, or as a standalone precompiled application without MATLAB running. EEGVIS and its supporting packages are freely available under the GNU general public license. The toolbox also supplies a number of extensible base classes for users who wish to develop their own visualizations.

Proper citation: EEGVIS (RRID:SCR_009569) Copy   

•   Source: SciCrunch Registry

http://omicslab.genetics.ac.cn/ISRNA/

An online toolkit for analyzing high-throughput small RNA sequencing data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ISRNA (RRID:SCR_009565) Copy   

•   Source: SciCrunch Registry

https://github.com/clementsan/DTI-Reg

An open-source C++ application that performs pair-wise DTI registration, using scalar FA map to drive the registration. Individual steps of the pair-wise registration pipeline are performed via external applications - some of them being 3D Slicer modules. Starting with two input DTI images, scalar FA maps are generated via dtiprocess. Registration is then performed between these FA maps, via BRAINSFit/BRAINSDemonWarp or ANTS -Advanced Normalization Tools-, which provide different registration schemes: rigid, affine, BSpline, diffeomorphic, logDemons. The final deformation is then applied to the source DTI image via ResampleDTI.

Proper citation: DTI-Reg (RRID:SCR_009560) Copy   

•   Source: SciCrunch Registry

http://users-mb.au.dk/pmgrp/downloads.php

A pipeline for small RNA-seq data analysis.

Proper citation: shortran (RRID:SCR_009636) Copy   

•   Source: SciCrunch Registry