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To access this data collection, please click on the Restricted Data button above. You will need to download and complete the data use agreement and then email it to [email protected]. The instructions are in the form.

The Anatomical Tracings of Lesions After Stroke (ATLAS) Dataset - Release 2.0 is an open-source data collection consisting a total of 955 T1-weighted MRIs (Magnetic Resonance Imaging) with manually segmented diverse lesions and metadata. ATLAS v2.0 has been split into a public release of 655 T1w MRIs and lesion masks and a hidden test dataset of 300 T1w MRIs. For the hidden dataset, only the T1s MRIs are available. The accompanying manually segmented lesion masks will be made available only for testing algorithm performance in lesion segmentation challenges and competitions. The goal of ATLAS is to provide the research community with a standardized training and testing dataset for lesion segmentation algorithms on T1-weighted MRIs.

From 33 cohorts worldwide, 955 MRI images were collected from research groups in the ENIGMA Stroke Recovery Working Group consortium. Images consisted of T1-weighted anatomical MRIs of individuals after stroke. For each MRI, brain lesions were identified and masks were manually drawn on each individual brain in native space using ITK-SNAP (version 3.8.0). After tracing, researchers reviewed and edited lesion masks as necessary using a standardized quality control protocol. In a subset of the data, lesion masks were received from the originating site and edited and checked for quality by the team. All team members received lesion-tracing training and followed a standard operating protocol for tracing lesions to ensure inter-rater reliability on all manually traced masks. All lesion masks were checked twice for quality by trained team members. During the quality control process, researchers ensured that the boundaries of the lesion segmentation were accurate and that all identifiable lesions in the brain were traced. All subject files have undergone a lesion tracing and preprocessing pipeline and are named and stored in accordance with the Brain Imaging Data Structure (BIDS) This dataset is provided in both native subject space and normalized to a standard template (the MNI-152 template).

Founded at the Detroit Institute of Arts in 1954, the Archives of American Art collects, preserves, and makes available primary sources documenting the history of the visual arts in the United States. The collection contains items of American culture over the past 200 years and consists of more than 20 million letters, diaries, scrapbooks, manuscripts, financial records, photographs, films, and audiovisual recordings of artists, dealers, collectors, critics, scholars, museums, galleries, associations, and other art world figures. The Archives also houses the largest collection of oral histories anywhere on the subject of art.

Data users can begin searching through the collections on the Explore the Collections page.

This 2020 study was funded by the National Institute of Justice to advance knowledge about the microscopical methods used to examine materials commonly found in commercial and improvised low explosives. To achieve this, researchers developed reference documentation and an "Atlas of Unburned, Partially Burned, and Fully Burned Low Explosive and Related Materials" for the characterization, comparison, and identification of such materials. This data collection includes 57 files with images and descriptive captions documenting methods of microscopical analysis for a variety of chemically reacted, improvised low explosives and related residues. Details on the optical and physical properties, information regarding chemical solubility, recrystallization, microcrystal and microchemical spot tests, melting points, potential decomposition products, references, and photomicrographs of these materials are included as a PDF table. Additional information on this research can be found on the McCrone Research Institute website.

The Historic American Buildings Survey (HABS), Historic American Engineering Record (HAER) collections, and Historic American Landscapes Survey (HALS) are housed in the Prints and Photographs Division of the Library of Congress. The collections document achievements in architecture, engineering, and landscape design in the United States and its territories through a comprehensive range of building types, engineering technologies, and landscapes, including examples such as the Pueblo of Acoma, houses, windmills, one-room schools, the Golden Gate Bridge, and buildings designed by Frank Lloyd Wright.

Administered since 1933 through cooperative agreements with the National Park Service, the Library of Congress, and the private sector, ongoing programs of the National Park Service have recorded America's built environment in multiformat surveys comprising more than 581,000 measured drawings, large-format photographs, and written histories for more than 43,000 historic structures and sites dating from Pre-Columbian times to the twentieth century. This online presentation of the HABS/HAER/HALS collections includes digitized images of measured drawings, black-and-white photographs, color transparencies, photo captions, written history pages, and supplemental materials. Since the National Park Service's HABS, HAER and HALS programs create new documentation each year, documentation will continue to be added to the collections.

Imaging tests, such as X-rays and MRIs, can help find health problems. When assessing how well the tests work, accuracy is important. But other benefits and harms, such as having pain from the test or relieving worry by knowing test results, may also matter to patients.

In this study, the research team wanted to learn what effects of imaging tests matter to patients.

The objective of the Seattle Neighborhoods and Crime Survey (SNCS) was to test multilevel theories of neighborhood social organization and criminal violence. It was funded by the National Science Foundation (SES-0004324), and the National Consortium on Violence Research (SBR-9513040). Using the concept of differential neighborhood organization, the investigators posited that neighborhood crime is a function of informal social control against crime and informal organization in favor of crime. Informal neighborhood control against crime consists of neighborhood attachment, social capital, and collective efficacy. The study tested the hypothesis that individual social ties are explained by a rational choice model, which in turn produces neighborhood social capital that can be used to achieve collective goals. It also tested the hypothesis that neighborhoods rich in social capital had greater collective efficacy, which in turn, helped produce safe neighborhoods. Organization in favor of crime consists of violent codes of the street. The study tested the hypothesis that residents from disadvantaged neighborhoods tend to distrust police and other agents of conventional institutions, and consequently are more likely to participate in street culture, in which violence is a way of obtaining street credibility and status, as well as resolving disputes. The project has also examined dimensions of neighboring, and the causes and consequences of fear of crime.

The study used a telephone survey of households within all 123 census tracts in the city of Seattle, WA, conducted in 2002-2003. The sampling frame was designed by investigators at the University of Washington, with three objectives in mind: (a) to gain a random sample of households within each of 123 census tracts; (b) to obtain a disproportionate number of racial and ethnic minorities using an ethnic oversample; and (c) to obtain a replication sample of Terrance Miethe's 1990 victimization survey in 100 Seattle neighborhoods [Testing Theories of Criminality and Victimization in Seattle, 1960-1990]. Specific samples were drawn by Genesys, a sampling firm in Philadelphia, PA, using a constantly-updated compilation of white pages. Telephone interviews were conducted by the Social and Behavioral Research Institute at California State University, San Marcos, using computer-assisted telephone interviewing (CATI) technology.

Respondents were asked about household demographics, such as race, gender, residential mobility, age distribution of the household, and income, their perceptions and assessments of their neighborhoods (including safety, disorder, and crime), neighbors, and relations with police. A variety of questions about neighboring were asked, including social capital (intergenerational closure, reciprocated exchange, and participation in neighborhood associations), attachment to their neighborhood, and collective efficacy (child-centered social control). Respondents were asked about routine activities including taking steps to protect their homes, spending time in bars and nightclubs, and leaving their home unattended. Questions about fear of crime included personal fear as well as altruistic fear for other members of the household, and questions about racial attitudes included residential preferences by race composition of the neighborhood. A victimization inventory modeled after the National Crime Victimization Survey was used for burglary, vandalism, stolen property, violence, and robbery. Demographic information includes age, race, sex, education, martial status, household income, whether respondent was a student, employment status, religious affiliation, approximate value of home, monthly rent including utilities, residence history in the last five years, whether respondent was born in the Unites States, and number of people currently living in the respondent's household.