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http://www.scienceexchange.com/facilities/suny-at-buffalo

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 23,2024. Portal listing the labs and facilities at SUNY at Buffalo.

Proper citation: State University of New York at Buffalo Labs and Facilities (RRID:SCR_001039) Copy   

•   Source: SciCrunch Registry

http://lehd.did.census.gov/led/

A dataset that combines federal and state administrative data on employers and employees with core Census Bureau censuses and surveys, while protecting the confidentiality of people and firms that provide the data. This data infrastructure facilitates longitudinal research applications in both the household / individual and firm / establishment dimensions. The specific research is targeted at filling an important gap in the available data on older workers by providing information on the demand side of the labor market. These datasets comprise Title 13 protected data from the Current Population Surveys, Surveys of Income and Program Participation, Surveys of Program Dynamics, American Community Surveys, the Business Register, and Economic Censuses and Surveys. With few exceptions, states have partnered with the Census Bureau to share data. As of December 2008, Connecticut, Massachusetts, New Hampshire and Puerto Rico have not signed a partnership agreement, while a partnership with the Virgin Islands is pending. LEHD's second method of developing employer-employee data relations through the use of federal tax data has been completed. LEHD has produced summary tables on accessions, separation, job creation, destruction and earnings by age and sex of worker by industry and geographic area. The data files consist of longitudinal datasets on all firms in each participating state (quarterly data, 1991- 2003), with information on age, sex, turnover, and skill level of the workforce as well as standard information on employment, payroll, sales and location. These data can be accessed for all available states from the Project Website. Data Availability: Research conducted on the LEHD data and other products developed under this proposal at the Census Bureau takes place under a set of rules and limitations that are considerably more constraining than those prevailing in typical research environments. If state data are requested, the successful peer-reviewed proposals must also be approved by the participating state. If federal tax data are requested, the successful peer-reviewed proposals must also be approved by the Internal Revenue Service. Researchers using the LEHD data will be required to obtain Special Sworn Status from the Census Bureau and be subject to the same legal penalties as regular Census Bureau employees for disclosure of confidential information. Basic instructions on how to download the data files and restrictions can be found on the Project Website. * Dates of Study: 1991-present * Study Features: Longitudinal * Sample Size: 48 States or U.S. territories

Proper citation: Longitudinal Employer-Household Dynamics (RRID:SCR_000817) Copy   

•   Source: SciCrunch Registry

http://wyss.harvard.edu/viewpage/594/

A core facility with access to imaging equipment and analysis software such as wide-field light microscopy, Total Internal Reflection Fluorescence microscopy (TIRF), confocal microscopy, Atomic Force Microscopy (AFM), Transmission Electron Microscopy (TEM), small animal imaging, spectroscopy, and flow cytometry.

Proper citation: Wyss Institute Imaging Core (RRID:SCR_000898) Copy   

•   Source: SciCrunch Registry

http://crag.uab.edu/crag/active.asp

Data set from a randomized controlled trial of cognitive interventions designed to maintain functional independence in elders by improving basic mental abilities. Several features made ACTIVE unique in the field of cognitive interventions: (a) use of a multi-site, randomized, controlled, single-blind design; (b) intervention on a large, diverse sample; (c) use of common multi-site intervention protocols, (d) primary outcomes focused on long-term, cognitively demanding functioning as measured by performance-based tests of daily activities; and (e) an intent-to-treat analytical approach. The clinical trial ended with the second annual post-test in January 2002. A third annual post-test was completed in December 2003. The area population and recruitment strategies at the six field sites provided a study sample varying in racial, ethnic, gender, socioeconomic, and cognitive characteristics. At baseline, data were collected by telephone for eligibility screening, followed by three in-person assessment sessions, including two individual sessions and one group session, and a self-administered questionnaire. At post-tests, data were collected in-person in one individual session and one group session as well as by self-administered questionnaire. There were four major categories of measures: proximal outcomes (measures of cognitive abilities that were direct targets of training), primary outcomes (measures of everyday functioning, both self-report and performance), secondary outcomes (measures of health, mobility, quality of life, and service utilization), and covariates (chronic disease, physical characteristics, depressive symptoms, cognitive impairment, psychosocial variables, and demographics). Phase I of ACTIVE was a randomized controlled, single-blind trial utilizing a four-group design, including three treatment arms and a no-contact control group. Each treatment arm consisted of a 10-session intervention for one of three cognitive abilities memory, reasoning, and speed of processing. Testers were blind to participant treatment assignment. The design allowed for testing of both social contact effects (via the contact control group) and retest effects (via the no-contact control group) on outcomes. Booster training was provided in each treatment arm to a 60% random subsample prior to first annual post-test. Phase II of ACTIVE started in July, 2003 as a follow-up study focused on measuring the long-term impact of training effects on cognitive function and cognitively demanding everyday activities. The follow-up consisted of one assessment to include the Phase I post-test battery. This was completed in late 2004.

Proper citation: Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) (RRID:SCR_000813) Copy   

•   Source: SciCrunch Registry

http://eagle-i.itmat.upenn.edu/i/0000013c-40b7-7a2a-f162-a2b280000000

Core facility that provides the following services: PET/SPECT/CT image analysis.

Proper citation: Penn Small Animal Imaging Facility: PET/SPECT/CT Sub-Core (RRID:SCR_000890) Copy   

•   Source: SciCrunch Registry

http://www.seagis.com.au

Commercial company that specializes in measurement science software, hardware and services. Their software products include a range of photogrammetric camera calibration, measurement and event logging software. Their hardware products include calibration cubes and underwater camera housings. Services include design, construction and calibration of vision measurement systems, software development and GIS consulting.

Proper citation: SeaGIS (RRID:SCR_001101) Copy   

•   Source: SciCrunch Registry

https://simtk.org/home/cpodes

CPODES is a numerical integrator for solving multibody dynamics problems using coordinate projection. It is based on the CVODES integrator which is part of the DOE Sundials suite. It is a multistep integrator providing variable order Adams (up to 12th order) and BDF (up to 5th order) methods for non-stiff problems and BDF (up to 5th order) for stiff problems. It uses CVODES to advance the ODE, and then performs coordinate projection back to the constraint manifold to exactly solve the DAE. The projection is also incorporated back into the error test where it permits larger steps. Binaries of this software are bundled with other SimTK Core modules.

Proper citation: CPODES numerical integrator (RRID:SCR_000766) Copy   

•   Source: SciCrunch Registry

http://www.wuxiapptec.com

A commercial organization for pharmaceutical, biopharmaceutical, and medical device open-access capability and technology platform with global operations.

Proper citation: WuXi AppTec Laboratory Services (RRID:SCR_001217) Copy   

•   Source: SciCrunch Registry

http://jsu.eagle-i.net/i/0000012b-00bd-5152-3984-bcfb80000000

A research laboratory and facility which supports research on environmental toxicology at Jackson State University.

Proper citation: JSU Environmental Toxicology Core Lab (RRID:SCR_000884) Copy   

•   Source: SciCrunch Registry

http://www.cma.mgh.harvard.edu/

A center dedicated to developing and applying morphometric methods to biomedical imaging data such as high-resolution MRI. The lab uses automated and semi-automated software such that MRI brain images are segmented into anatomical regions of interest. Projects in both basic and applied brain research include research on strokes and tumors; medical image processing research includes shape analysis of anatomical brain regions and measurement and analysis of brain volumes.

Proper citation: MGH Center for Morphometric Analysis (RRID:SCR_000885) Copy   

•   Source: SciCrunch Registry

http://rover.bsd.uchicago.edu/lfepr/

Biomedical technology research center that develops instrumentation, analysis techniques, spin probes and spin traps, and methodologies for imaging physiologically relevant aspects of tissue fluids, including high-resolution oxygen maps, with very low frequency electron paramagnetic resonance imaging (EPRI). Novel bridges and high-access, low-field magnet/gradient systems have produced physiologically relevant measurements and accommodate a number of resonant structures. The Center is a consortium between the University of Chicago, the University of Denver, the University of Maryland and Novosibirsk Institute of Organic Chemistry (NIOC), Russia.

Proper citation: Center for EPR Imaging in Vivo Physiology (RRID:SCR_001410) Copy   

•   Source: SciCrunch Registry

https://bli.uci.edu/laser-microbeam-program/

Biomedical technology research center dedicated to the use of lasers and optics in biology and medicine with activities in technological research and development, collaborative research, service, training, and dissemination. One of the primary goals of LAMMP is to facilitate translational research by rapidly moving basic science and technology discoveries from blackboard to benchtop to bedside. This is accomplished by combining state of the art optical technologies with specialized resource facilities for cell and tissue engineering, histopathology, pre-clinical animal models, and clinical care. The resource center has been organized into 3 cores: * Microscopy and Microbeam Technologies (MMT) for high-resolution functional imaging and manipulation of living cells and tissues * Medical Translational Technologies (MTT) for non- and minimally-invasive monitoring, treating, and imaging pre-clinical animal models and human subjects, and * Virtual Photonics Technologies (VPT) for developing computational models and methods that advance the performance of biophotonic technologies, and enhance the information content derived from optical measurements. LAMMP cores contain complementary technologies that are capable of quantitatively characterizing, imaging, and perturbing structure and biochemical function in cells and tissues with scalable resolution and depth sensitivity ranging from micrometers to centimeters.

Proper citation: Laser Microbeam and Medical Program (RRID:SCR_001409) Copy   

•   Source: SciCrunch Registry

http://www.ninds.nih.gov/disorders/disorder_index.htm

Reference disease data set of neurological diseases along with their definitions, etiology, treatment, prognosis, ongoing research, clinical trials information and publications. The Disorder Index includes synonyms and research topics. Navigation is by letter of the alphabet., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NINDS Disorder Index (RRID:SCR_000433) Copy   

•   Source: SciCrunch Registry

http://www.cmu.edu/nmr-center/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 19,2024. Biomedical Technology Research Center that develops methodologies for the acquisition of morphological, biochemical, cellular, and functional information in living animals using nuclear magnetic resonance imaging (MRI) and spectroscopy (MRS). Novel techniques utilizing multidimensional MR imaging, magnetic resonance microscopy (MRM), and multinuclear in vivo spectroscopy are being applied to a wide range of problems in the biomedical sciences.

Proper citation: Pittsburgh NMR Center for Biomedical Research (RRID:SCR_001408) Copy   

•   Source: SciCrunch Registry

http://www.radiology.ucsf.edu/research/labs/hyperpolarized-mri-tech

Biomedical technology research center developing, investigating, and disseminating new hyperpolarized MR techniques, new 13C agents and specialized analysis open-source software for data reconstruction and interpretation. The Technology Research & Development projects will leverage the extensive DNP facilities and experience of the project leaders to develop improved, robust hyperpolarized MRI methods. These technology developments will be driven by Collaborative Projects led by outstanding clinical and basic scientists who aim to use hyperpolarized 13C MRI to accomplish the scientific goals of their funded research. These technical developments will also be disseminated to the Service Project investigators for extramural feedback and then widely to the scientific community via a dedicated website and onsite training. This center will provide state-of-the-art training in this new metabolic imaging field and sponsor a yearly symposium focused on hyperpolarized MR technology development.

Proper citation: Hyperpolarized MRI Technology Resource Center (RRID:SCR_001405) Copy   

•   Source: SciCrunch Registry

http://fascinator.usq.edu.au/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. An extensible, open-source platform for managing your digital objects. Using a variety of plugins, you can transform your digital objects into new formats, search and browse through your collection, collaborate through tagging and annotations, and create packages of information for publishing to all manner of systems. Written in Python.

Proper citation: Fascinator (RRID:SCR_001367) Copy   

•   Source: SciCrunch Registry

http://www.juntadeandalucia.es/fundacionprogresoysalud/es/home

An organization that supports the public health system in Andalusia, Spain through three main activities: research and innovation in health, technologies line information and communication, and training and evaluation of professional skills. It also provides management support to the Health Quality Agency of Andalusia, which is the driving entity of the Andalusian Quality Model. Resource is in Spanish.

Proper citation: Progress and Health Foundation; Seville; Spain (RRID:SCR_000276) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/science/tools/ssaha2-0

A program designed for the efficient mapping of sequence reads onto genomic references. The software is capable of reading most sequencing platforms and giving a range of outputs are supported.

Proper citation: Sequence Search and Alignment by Hashing Algorithm (RRID:SCR_000544) Copy   

•   Source: SciCrunch Registry

http://www.bumc.bu.edu/msr/

Biomedical technology research center that conducts high-sensitivity structural determinations and analyses of biological compounds via mass spectrometry. The emphasis is on glycoconjugates, oligosaccharides and proteins.

Proper citation: BUSM Mass Spectrometry Resource (RRID:SCR_000823) Copy   

•   Source: SciCrunch Registry

http://blog.wholebraincatalog.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. The blog of the Whole Brain Catalog.

Proper citation: Whole Brain Catalog Blog (RRID:SCR_000582) Copy   

•   Source: SciCrunch Registry