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http://www.columbia.edu/cu/biology/resources/proteomics/

Core provides identification of proteins and metabolites with differential quantitative expression in cells, tissues or in protein affinity purifications. Particular emphasis is on quantitative analysis of posttranslational modifications such as phosphorylation.

Proper citation: Columbia University Quantitative Proteomics and Metabolomics Core Facility (RRID:SCR_017747) Copy   

•   Source: SciCrunch Registry

http://sites.northwestern.edu/pldcore/

Core provides means to grow thin films of metals and metal oxides. Facility contains two state of art deposition chambers PVD PLD/MBE 2300 and a PVD nanoPLD 1000. PLD provides convenient way to make thin films of materials heretofore studied in bulk by pressing and sintering target from bulk material; facilities are available at Northwestern for pressing and sintering of targets.

Proper citation: Northwestern University Pulsed Laser Deposition Core Facility (RRID:SCR_017889) Copy   

•   Source: SciCrunch Registry

http://massspec.chem.wisc.edu

Core provides mass spectrometers including Thermo Q Exactive Plus,Bruker impact II ,Bruker microflex LRF,Bruker ULTRAFLEX III,Shimadzu GCMS-QP2010S,Waters Acquity LCMS.

Proper citation: University of Wisconsin-Madison Chemistry Instrumentation Center - Mass Spectrometry Core Facility (RRID:SCR_017931) Copy   

•   Source: SciCrunch Registry

http://xray.facilities.northwestern.edu/

Core provides general purpose x-ray equipment for diffraction and fluorescence studies. Examples of current measurements are: powder diffraction, single-crystal diffraction, thin-film reflectivity, thin-film diffraction, crystal truncation rod scattering, small angle scattering, Laue diffraction, residual stress, pole figures, EDX-ray fluorescence, x-ray standing waves, high-resolution x-ray diffraction, and grazing incidence small angle scattering.

Proper citation: Northwestern University Jerome B. Cohen X-ray Diffraction Core Facility (RRID:SCR_017866) Copy   

•   Source: SciCrunch Registry

https://www.unh.edu/research/welcome-university-instrumentation-center

University wide core facility offers NMR,SEM including FIB, EBS, EBSD, Tensile Stage,Confocal,X-Ray Photoelectron Spectroscopy,X-Ray Microscope aka Micro CT, Expert analysis of research and industrial samples,Training in scientific instrument operation and data analysis, Maintenance, repair, and calibration of instruments,Specialty instrument engineering design and application services,Facilitation of access to scientific instruments throughout the university.

Proper citation: University of New Hampshire University Instrumentation Center Core Facility (RRID:SCR_021101) Copy   

•   Source: SciCrunch Registry

https://www.biotech.cornell.edu/core-facilities-brc/facilities/epigenomics-facility

Provides service that maps protein DNA interactions genome wide, tracks experimental metadata, and implements quality controlled data processing and research based analysis pipelines. Provides epigenomic and bioinformatic research resources and services that include sample preparation services and data generation. Open source platforms enable and reinforce FAIR data practices. Core is able to receive and process cell and tissue samples for various diagnostic epigenetic assays.

Proper citation: Cornell University BRC Epigenomics Core Facility (RRID:SCR_021287) Copy   

•   Source: SciCrunch Registry

https://www.boisestate.edu/brc/home/

Designed to provide supportive environment for interdisciplinary research and education with opportunities for students and faculty members alike with focus on biomolecules study with emphasis on proteins and protein interactions. Provides instrumentation and facilities for characterization of biomolecules and their role in variety of biomedical and environmental processes. Partnerships between Center and Idaho-BRIN/INBRE, UI, ISU, Boise VA Medical Center, College of Idaho, and Northwest Nazarene University. BRC provides seminars, training workshops, and other networking opportunities.

Proper citation: Boise State University Biomolecular Research Center Core Facility (RRID:SCR_019174) Copy   

•   Source: SciCrunch Registry

http://total-impact.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 8, 2017. Service that aggregates altmetrics: diverse impacts from articles, datasets, blog posts, and more, to create a measure of the impact of scholarly output. * view metrics: Point to research products in Slideshare, GitHub, and Dryad. Import items from Google Scholar profiles or a BibTex file and the output is a metrics report that can be viewed and shared. * embed anywhere: Use the full-featured API to add metrics to projects. Or drop the embeddable Javascript widget into a publishing platform''s HTML. * Free - metrics data (and source code). They believe open altmetrics are key for building the coming era of Web-native science.

Proper citation: total impact.org (RRID:SCR_005952) Copy   

•   Source: SciCrunch Registry

http://clovr.org/

A desktop application for push-button automated sequence analysis that can utilize cloud computing resources. CloVR is implemented as a single portable virtual machine (VM) that provides several automated analysis pipelines for microbial genomics, including 16S, whole genome and metagenome sequence analysis. The CloVR VM runs on a personal computer, utilizes local computer resources and requires minimal installation, addressing key challenges in deploying bioinformatics workflows. In addition CloVR supports use of remote cloud computing resources to improve performance for large-scale sequence processing.

Proper citation: CloVR (RRID:SCR_005290) Copy   

•   Source: SciCrunch Registry

http://www.pymvpa.org

A Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is truly free software (in every respect) and additionally requires nothing but free-software to run. Decoding patterns of neural activity onto cognitive states is one of the central goals of functional brain imaging. Standard univariate fMRI analysis methods, which correlate cognitive and perceptual function with the blood oxygenation-level dependent (BOLD) signal, have proven successful in identifying anatomical regions based on signal increases during cognitive and perceptual tasks. Recently, researchers have begun to explore new multivariate techniques that have proven to be more flexible, more reliable, and more sensitive than standard univariate analysis. Drawing on the field of statistical learning theory, these new classifier-based analysis techniques possess explanatory power that could provide new insights into the functional properties of the brain. However, unlike the wealth of software packages for univariate analyses, there are few packages that facilitate multivariate pattern classification analyses of fMRI data. This Python-based, cross-platform, open-source software toolbox software toolbox for the application of classifier-based analysis techniques to fMRI datasets makes use of Python's ability to access libraries written in a large variety of programming languages and computing environments to interface with the wealth of existing machine learning packages.

Proper citation: PyMVPA (RRID:SCR_006099) Copy   

•   Source: SciCrunch Registry

http://erin.sfn.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A database that lists, reviews, and rates resources for teaching neuroscience at the graduate and undergraduate level.

Proper citation: Educational Resources in Neuroscience (RRID:SCR_000169) Copy   

•   Source: SciCrunch Registry

http://compbio.cs.princeton.edu/conservation/

Software for scoring protein sequence conservation using the Jensen-Shannon divergence. It can be used to predict catalytic sites and residues near bound ligands.

Proper citation: Conservation (RRID:SCR_016064) Copy   

•   Source: SciCrunch Registry

http://anya.igsb.anl.gov/Geneways/GeneWays.html

System for automatically extracting, analzying, visualizing and integrating molecular pathway data from the research literature. System focuses on interactions between molecular substances and actions, providing a graphical consensus view on the collected information. GeneWays is designed as open platform, allowing researchers to query, review and critique integrated information.

Proper citation: GeneWays (RRID:SCR_000572) Copy   

•   Source: SciCrunch Registry

http://www.marine-geo.org/portals/antarctic/

Accepts and provides access to geoscience data, primarily marine, collected from oceanographic expeditions in the Antarctic region. The synthesis began in 2003 as the Antarctic Multibeam Bathymetry and Geophysical Data Synthesis (AMBS) with a focus on multibeam bathymetry field data and other geophysical data from the Southern Ocean collected with the R/V N. B. Palmer. In 2005, the effort was expanded to include all routine underway geophysical and oceanographic data collected with both the R/V N. B. Palmer and R/V L. Gould, the two primary research vessels serving the US Antarctic Program. Data available include seafloor bathymetry, subbottom profiling, trackline gravity and magnetics, meteorological, and water column data as well as basic cruise information for all Palmer and Gould expeditions. Seafloor bathymetry data are provided both as raw swath data as well as in gridded form through the Global Multi-Resolution Topography (GMRT) synthesis. This gridded compilation of seafloor bathymetry data can be accessed through GeoMapApp, Create Maps and Grids and through an OGC-compliant Web Map Service. GeoMapApp is an integrated mapping application that provides access to many additional regional bathymetric grids, seismic, radar, gravity and magnetics profiles as well as other map and grid compilations for the Antarctic continent including LIMA.

Proper citation: Antarctic and Southern Ocean Data Portal (RRID:SCR_002193) Copy   

•   Source: SciCrunch Registry

https://isotope.ucsc.edu/

Provides light stable isotope ratio analysis services to scientists from UCSC and from around the world.

Proper citation: University of California at Santa Cruz Stable Isotope Laboratory Core Facility (RRID:SCR_022947) Copy   

•   Source: SciCrunch Registry

https://www.socr.umich.edu/

SOCR designs, validates and freely disseminates knowledge. The Resource develops AI/ML tools, mathematical models, and end-to-end data analytic protocols for biomedical and health studies. It provides portable online aids for probability, statistics and health science education, promotes technology enhanced instruction, supports efficient statistical computing, supports AI-services, and advances predictive big data analytics. The SOCR platform includes repository of interactive apps, datasets and case-studies, computational tools, visualization approaches, instructional resources, learning materials, and curricular components. SOCR faculty, staff, and students support data and information science collaborations and analytic partnerships involving biomedical, healthcare, and biostatistical investigations.

Proper citation: University of Michigan Statistics Online Computational Resource Core Facility (RRID:SCR_022917) Copy   

•   Source: SciCrunch Registry

https://biopacificmip.org/

BioPolymers, Automated Cellular Infrastructure, Flow, and Integrated Chemistry Materials Innovation Platform is platform dedicated to scalable production of bio-derived building blocks and polymers from yeast, fungi, and bacteria. Automated high-throughput synthesis and characterization of bio-derived polymers aims to accelerate discovery and speed development of new high-performance materials.

Proper citation: University of California BioPACIFIC MIP Core Facility (RRID:SCR_023540) Copy   

•   Source: SciCrunch Registry

https://www.cores.emory.edu/iemc/

Core helps investigators use the latest technologies on structural research in their projects. Provides expertise in experimental needs.

Proper citation: Emory University Robert P. Apkarian Integrated Electron Microscopy Core Facility (RRID:SCR_023537) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/vcu-nanomaterials-characterization-center-vcu

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 15,2024. Nanomaterials Characterization Center at Virginia Commonwealth University is a state of the art 4000 sq. ft. facility located within the new Health and Life Science Engineering Facility. The Center provides an academic structure for students in natural sciences, mathematics, engineering, and medicine to participate in nanoscience and nanotechnology research to acquire the skills necessary to pursue such careers. In the past year, VCU received two National Science Foundation major research instrumentation grants totaling more than $1.6 million to expand its capabilities for research in materials science. Combining these federal awards with state instrumentation grants and private donations, the facility has been able to build a state of the art facility with over $5 million in new equipment. This new equipment will allow faculty and student researchers from both VCU campuses, as well as other universities.

Proper citation: VCU Nanomaterials Characterization Center (RRID:SCR_012162) Copy   

•   Source: SciCrunch Registry

http://psidonline.isr.umich.edu/

Long-term longitudinal dataset with information on generational links and socioeconomic and health conditions of individuals over time. The central foci of the data are economic and demographic, with substantial detail on income sources and amounts, wealth, savings, employment, pensions, family composition changes, childbirth and marriage histories, and residential location. Over the life of the PSID, the NIA has funded supplements on wealth, health, parental health and long term care, housing, and the financial impact of illness, thus also making it possible to model retirement and residential mobility. Starting in 1999, much greater detail on specific health conditions and health care expenses is included for respondent and spouse. Other enhancements have included a question series about emotional distress (2001); the two stem questions from the Composite International Diagnostic Interview to assess symptoms of major depression (2003); a supplement on philanthropic giving and volunteering (2001-03); a question series on Internet and computer use (2003); linkage to the National Death Index with cause of death information for more than 4,000 individuals through the 1997 wave, updated for each subsequent wave; social and family history variables and GIS-linked environmental data; basic data on pension plans; event history calendar methodology to facilitate recall of employment spells (2001). The reporting unit is the family: single person living alone or sharing a household with other non-relatives; group of people related by blood, marriage, or adoption; unmarried couple living together in what appears to be a fairly permanent arrangement. Interviews were conducted annually from 1968 through 1997; biennial interviewing began in 1999. There is an oversample of Blacks (30%). Waves 1990 through 1995 included a 20% Hispanic oversample; within the Hispanic oversample, Cubans and Puerto Ricans were oversampled relative to Mexicans. All data from 1994 through 2001 are available as public release files; prior waves can be obtained in archive versions. The special files with weights for families are also available. Restricted files include the Geocode Match File with information for 1968 through 2001, the 1968-2001 Death File, and the 1991 Medicare Claims File. * Dates of Study: 1968-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size: 65,000+ Links * ICPSR Series: http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/00131 * ICPSR 1968-1999: Annual Core Data: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/07439 * ICPSR 1968-1999: Supplemental Files: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03202 * ICPSR 1989-1990: Latino Sample: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03203

Proper citation: Panel Study of Income Dynamics (RRID:SCR_008976) Copy   

•   Source: SciCrunch Registry