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https://simtk.org/home/feature

A suite of automated tools that examine biological molecules and produces useful representations of the key biophysical and biochemical features of these structures that are critical for understanding function. The utility of this system extends from medical / pharmaceutical applications (model-based drug design, comparing pharmacological activities) to industrial applications (understanding structural stability, protein engineering). The FEATURE code is made available, without too much support, to any interested scientists. Audience: Researchers interested in identifying functional sites in protein structures. Long Term Goals and Related Uses: Enable improved functional site prediction.

Proper citation: FEATURE (RRID:SCR_002648) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/ibsr

Data set of manually-guided expert segmentation results along with magnetic resonance brain image data. Its purpose is to encourage the development and evaluation of segmentation methods by providing raw test and image data, human expert segmentation results, and methods for comparing segmentation results. Please see the MediaWiki for more information. This repository is meant to contain standard test image data sets which will permit a standardized mechanism for evaluation of the sensitivity of a given analysis method to signal to noise ratio, contrast to noise ratio, shape complexity, degree of partial volume effect, etc. This capability is felt to be essential to further development in the field since many published algorithms tend to only operate successfully under a narrow range of conditions which may not extend to those experienced under the typical clinical imaging setting. This repository is also meant to describe and discuss methods for the comparison of results.

Proper citation: Internet Brain Segmentation Repository (RRID:SCR_001994) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/rosetta/

Public datasets that have been transcoded into multiple formats. This library of valid file format conversions (DICOM->NIFTI, DICOM->PAR/REC, etc.) will provide a reference for tool developers seeking to support multiple sources of data.

Proper citation: Rosetta Bit (RRID:SCR_001906) Copy   

•   Source: SciCrunch Registry

https://www.clinicaltrials.gov/study/NCT00064753

Multi-center, randomized, double blind controlled clinical trial to determine whether treatment with a standard multivitamin augmented with high doses of folic acid, vitamin B6 and vitamin B12 reduces the rate of cardiovascular disease outcomes in renal transplant recipients relative to participants receiving a similar multivitamin that contains no folic acid. This study hopes to show that by reducing the level of homocysteine in the body, the risk of heart disease is also reduced among kidney transplant patients.

Proper citation: Folic Acid for Vascular Outcome Reduction in Transplantation (RRID:SCR_001505) Copy   

•   Source: SciCrunch Registry

http://archive.ics.uci.edu/ml/datasets/EEG+Database

Data set from a large study to examine EEG correlates of genetic predisposition to alcoholism. It contains measurements from 64 electrodes placed on the scalp sampled at 256 Hz (3.9-msec epoch) for 1 second. There were two groups of subjects: alcoholic and control. Each subject was exposed to either a single stimulus (S1) or to two stimuli (S1 and S2) which were pictures of objects chosen from the 1980 Snodgrass and Vanderwart picture set. When two stimuli were shown, they were presented in either a matched condition where S1 was identical to S2 or in a non-matched condition where S1 differed from S2. There were 122 subjects and each subject completed 120 trials where different stimuli were shown. The electrode positions were located at standard sites (Standard Electrode Position Nomenclature, American Electroencephalographic Association 1990). Zhang et al. (1995) describes in detail the data collection process. There are three versions of the EEG data set. * The Small Data Set (smni97_eeg_data.tar.gz) contains data for the 2 subjects, alcoholic a_co2a0000364 and control c_co2c0000337. For each of the 3 matching paradigms, c_1 (one presentation only), c_m (match to previous presentation) and c_n (no-match to previous presentation), 10 runs are shown. * The Large Data Set (SMNI_CMI_TRAIN.tar.gz and SMNI_CMI_TEST.tar.gz) contains data for 10 alcoholic and 10 control subjects, with 10 runs per subject per paradigm. The test data used the same 10 alcoholic and 10 control subjects as with the training data, but with 10 out-of-sample runs per subject per paradigm. * The Full Data Set contains all 120 trials for 122 subjects. The entire set of data is about 700 MBytes.

Proper citation: EEG Database (RRID:SCR_001581) Copy   

•   Source: SciCrunch Registry

http://mpr.nci.nih.gov/prow/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. It offers short, structured reviews of proteins and protein families, especially leukocyte surface membrane molecules. Index of information available from PROW includes CD molecule, Alternate names, Current Guides, Past Guides, Entrez Gene and Assigning workshop. Current guides: expanded format including Summary Sentence and Abstract Past guides: older guides with excellent information, some data may be dated

Proper citation: PROW (RRID:SCR_002434) Copy   

•   Source: SciCrunch Registry

http://www.adinstruments.com/products/software/modules/neuro_explorer.php

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 19, 2018; A provider of computer-based data acquisition and analysis systems for life science. Products enable users to record and analyze life science data quickly and efficiently. ADInstruments product range is based on the PowerLab data acquisition system with LabChart software. The PowerLab system (also MacLab) is used in universities, hospitals, research institutes, pharmaceutical companies, contract research organizations and other private industry research sectors.

Proper citation: ADInstruments - Data Acquisition Systems for Life Science (RRID:SCR_001620) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/mcic/

Expertly collected, well-curated data sets consisting of comprehensive clinical characterization and raw structural, functional and diffusion-weighted DICOM images in schizophrenia patients and gender and age-matched controls are now accessible to the scientific community through an on-line data repository (coins.mrn.org). This data repository will be useful to 1) educators in the fields of neuroimaging, medical image analysis and medical imaging informatics who need exemplar data sets for courses and workshops; 2) computer scientists and software algorithm developers for testing and validating novel registration, segmentation, and other analysis software; and 3) scientists who can study schizophrenia by further analysis of this cohort and/or by pooling with other data.

Proper citation: MCIC (RRID:SCR_002310) Copy   

•   Source: SciCrunch Registry

https://www.upf.edu/web/ntsa/downloads/-/asset_publisher/xvT6E4pczrBw/content/2001-indications-of-nonlinear-deterministic-and-finite-dimensional-structures-in-time-series-of-brain-electrical-activity-dependence-on-recording-regi?p_r_p_assetEntryId=229569389&_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_xvT6E4pczrBw_type=content&_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_xvT6E4pczrBw_urlTitle=2001-indications-of-nonlinear-deterministic-and-finite-dimensional-structures-in-time-series-of-brain-electrical-activity-dependence-on-recording-regi&_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_xvT6E4pczrBw_redirect=https%3A%2F%2Fwww.upf.edu%3A443%2Fweb%2Fntsa%2Fdownloads%3Fp_p_id%3Dcom_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_xvT6E4pczrBw%26p_p_lifecycle%3D0%26p_p_state%3Dnormal%26p_p_mode%3Dview%26p_r_p_assetEntryId%3D229569389%26_com_liferay_asset_publisher_web_portlet_AssetPublisherPortlet_INSTANCE_xvT6E4pczrBw_cur%3D0%26p_r_p_resetCur%3Dfalse#229569389

Five data sets containing quasi-stationary, artifact-free EEG signals both in normal subjects and epileptic patients were put in the web by Ralph Andrzejak from the Epilepsy center in Bonn, Germany. Each data set contains 100 single channel EEG segments of 23.6 sec duration.

Proper citation: EEG time series Data Sets (RRID:SCR_001579) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/genomes

The EBI genomes pages give access to a large number of complete genomes including bacteria, archaea, viruses, phages, plasmids, viroids and eukaryotes. Methods using whole genome shotgun data are used to gain a large amount of genome coverage for an organism. WGS data for a growing number of organisms are being submitted to DDBJ/EMBL/GenBank. Genome entries have been listed in their appropriate category which may be browsed using the website navigation tool bar on the left. While organelles are all listed in a separate category, any from Eukaryota with chromosome entries are also listed in the Eukaryota page. Within each page, entries are grouped and sorted at the species level with links to the taxonomy page for that species separating each group. Within each species, entries whose source organism has been categorized further are grouped and numbered accordingly. Links are made to: * taxonomy * complete EMBL flatfile * CON files * lists of CON segments * Project * Proteomes pages * FASTA file of Proteins * list of Proteins

Proper citation: EBI Genomes (RRID:SCR_002426) Copy   

•   Source: SciCrunch Registry

http://www.bdbiosciences.com/instruments/software/facsdiva/index.jsp

A collection of tools for flow cytometer and application setup, data acquisition, and data analysis that help streamline flow cytometry workflows. It provides features to help users integrate flow systems into new application areas, including index sorting for stem cell and single-cell applications, as well as automation protocols for high-throughput and robotic laboratories.

Proper citation: BD FACSDiva Software (RRID:SCR_001456) Copy   

•   Source: SciCrunch Registry

http://www.codoncode.com/TraceViewer/index.htm

A Java program that allows you to see, print, and edit DNA sequencing traces.

Proper citation: CodonCodes TraceViewer (RRID:SCR_002304) Copy   

•   Source: SciCrunch Registry

http://www.immundiagnostik.com

Commercial company that develops and provides laboratory diagnostics and other medical research products.

Proper citation: Immundiagnostik (RRID:SCR_001977) Copy   

•   Source: SciCrunch Registry

http://eitechnologygroup.com/products/amorphium-3-0/

Graphics software for a real-time approach to creating 3D graphics that offers a variety of intuitive, powerful design tools to create your 3D masterpiece. The graphics engine allows for a completely interactive environment, where all operations occur on solid objects in real time. A rendering engine allows you to produce stunning 3D imagery at virtually any resolution for Web, print, digital video, and film. Advanced capabilities include Radiosity rendering for photo-realistic scenes, Raytracing for true-to-life surface reflections and refractions, as well as variable smoke and lighting effects.

Proper citation: Amorphium (RRID:SCR_002062) Copy   

•   Source: SciCrunch Registry

http://medicine.iupui.edu/clinpharm/ddis/

Table designed as a hypothesis testing, teaching and reference tool for physicians and researchers interested in drug interactions that are the result of competition for, or effects on the human cytochrome P450 system. The table contains lists of drugs in columns under the designation of specific cytochrome P450 isoforms. A drug appears in a column if there is published evidence that it is metabolized, at least in part, via that isoform. It does not necessarily follow that the isoform is the principal metabolic pathway in vivo, or that alterations in the rate of the metabolic reaction catalyzed by that isoform will have large effects on the pharmacokinetics of the drug., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Drug-Interactions (RRID:SCR_002336) Copy   

•   Source: SciCrunch Registry

https://clinicaltrials.gov/study/NCT01885559

Consortium established to design and implement clinical trials of treatments that might slow the progressive loss of renal function in Polycystic Kidney Disease (PKD). Two multicenter randomized, double-blind, placebo controlled clinical trials are running concurrently to study the efficacy of renin-angiotensin-aldosterone system blockade on the progression of cystic disease (kidney volume) and on the decline in renal function in autosomal dominant polycystic kidney disease (ADPKD). Study A is to study whether intensive ACE-I/ARB blockade decrease the progression of cystic disease compared to ACE-I monotherapy patients with early disease, relatively preserved renal function, and high-normal BP or hypertension. Study B is to study whether intensive ACE-I/ARB blockade as compared to ACE-I monotherapy slow the decline in kidney function, end-stage of renal disease, or death in the setting of standard blood pressure control in hypertensive patients with moderately advanced disease.

Proper citation: HALT PKD (RRID:SCR_001529) Copy   

•   Source: SciCrunch Registry

http://www.isletstudy.org/

Network of centers to conduct studies of islet transplantation in patients with type 1 diabetes to improve the safety and long-term success of methods for transplanting islets. It is the aim of this trial to improve methods of isolating islets, to improve techniques for the administering those transplanted islets; and to develop approaches to minimize the toxic effects of immunosuppressive drugs required for transplantation.

Proper citation: Clinical Islet Transplantation Study (RRID:SCR_001515) Copy   

•   Source: SciCrunch Registry

http://www.neuro.mpg.de/connectomics

Data set of the dense reconstruction of 950 neurons and their mutual contacts for the mouse inner plexiform layer--the main computational neuropil region in the mammalian retina. This was achieved by applying a combination of crowd-sourced manual annotation and machine-learning-based volume segmentation to serial block-face electron microscopy data. They characterize a new type of retinal bipolar interneuron and show that they can subdivide a known type based on connectivity. Circuit motifs that emerge from their data indicate a functional mechanism for a known cellular response in a ganglion cell that detects localized motion, and predict that another ganglion cell is motion sensitive. A Data browser is also available for download

Proper citation: Connectomic reconstruction of the inner plexiform layer in the mouse retina (RRID:SCR_002246) Copy   

•   Source: SciCrunch Registry

http://www.ibgm.med.uva.es/files/upload/manual/casyoperatormanual.pdf

Tool for the qualitative and quantitative assessment of cell cultures including standardized cell counting methods, viability checks, aggregation correction, volumetric measurement with high measuring range dynamics. It enables to create optimal settings for measuring certain cell population numbers (based on size and gating strategies).

Proper citation: CASY Cell Counter and Analyser System Model TT (RRID:SCR_002080) Copy   

•   Source: SciCrunch Registry

http://www.civm.duhs.duke.edu/

Biomedical technology research center dedicated to the development of novel imaging methods for the basic scientist and the application of the methods to important biomedical questions. The CIVM has played a major role in the development of magnetic resonance microscopy with specialized MR imaging systems capable of imaging at more than 500,000x higher resolution than is common in the clinical domain. The CIVM was the first to demonstrate MR images using hyperpolarized 3He which has been moved from mouse to man with recent clinical trials performed at Duke in collaboration with GE. More recently the CIVM has developed the molecular imaging workbench---a system dedicated to multimodality cardiopulmonary imaging in the rodent. Their collaborators are employing these unique imaging systems in an extraordinary range of mouse and rat models of neurologic disease, cardiopulmonary disease and cancer to illuminate the underlying biology and explore new therapies.

Proper citation: Center for In Vivo Microscopy (RRID:SCR_001426) Copy   

•   Source: SciCrunch Registry