The Yohkoh Legacy data Archive (YLA) is intended to provide all usable scientific data obtained with the Yohkoh satellite, in convenient forms for research and education. The YLA consists of the whole set of Yohkoh data (from raw data to highly processed catalogs), with the web services of quick look, data search, and a sufficient amount of explanatory materials.

An integrated resource of solar imagery and data.

Analysis of ‘Violent Crime Statewide Totals by Type’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/0f41e3a2-5b93-43bc-bd00-744bf3e16f0f on 26 January 2022.

--- Dataset description provided by original source is as follows ---

The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the FBI's annual Uniform Crime Reports.

--- Original source retains full ownership of the source dataset ---

The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the FBI's annual Uniform Crime Reports.

Analysis of ‘Violent Crime & Property Crime by County: 1975 to Present’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/444af698-f3ae-4aa3-906a-4a65ac1d037d on 26 January 2022.

--- Dataset description provided by original source is as follows ---

The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the Maryland State Police's annual Uniform Crime Reports.

--- Original source retains full ownership of the source dataset ---

This dataset shows Maryland crime versus all other states. The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the FBI's annual Uniform Crime Reports.

The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the Maryland State Police's annual Uniform Crime Reports.

The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the FBI's annual Uniform Crime Reports.

The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the FBI's annual Uniform Crime Reports.

This dataset shows the total number of violent crimes by county and statewide, for CY2006 versus CY2013. Data are provided by the Maryland Statistical Analysis Center (MSAC) within the Governor's Office of Crime Control and Prevention (GOCCP).

This dataset contains monthly long-term climatological means, variances, and covariances of geopotential height, temperature, specific humidity, wind, and vertical motion for the atmosphere from 1000mb up to 50mb. Long-term means are computed over the period from October 1978 to September 1985. The data are on a global latitude/longitude grid with a resolution of 2.5 degrees.

Serious crime totals that are reported by each jurisdiction that are listed as "Group A" crimes by the Federal Bureau of Investigation. These totals are used in the Crime in Delaware report provided by the Statistical Analysis Center

Despite reductions in U.S. crime rates in recent decades, crime victimization continues to be a pressing problem with enormous societal costs. This project, conducted by the Justice Research and Statistics Association (JRSA) in partnership with the Urban Institute (Urban) and the National Center for Victims of Crime (NCVC), is an assessment of the field of cost of victimization research. The product is a menu of recommendations for future research studies and practitioner tools to advance the field. One objective of the project was to keep the focus squarely on the victims, and consider what information is most needed by those who serve them. Relatedly, another objective was to recognize that even if the proximate victim is a business, the government, or non-profit organization, individuals still suffer. Given the victim-centered focus, the project team conducted several primary data collections designed to obtain input from practitioners and victims about their experiences and needs. Focus groups were conducted with three practitioner groups: Victims of Crime Act (VOCA) compensation and assistance administrators, State Administering Agency (SAA) and state Statistical Analysis Center (SAC) directors, and civil attorneys who pursue tort claims for damages for crime victims. As well, the project team conducted a nationwide survey of victim service providers and a smaller survey of victimization survivors. The project team also re-framed the taxonomy of victimization costs pioneered and revised by Cohen over the years (Cohen, 2005, e.g.) from the perspective of various practitioner users - based on who covers different costs - and adds factors that may increase or decrease costs they may be estimating. The project team also conducted a literature review that consists of two major sections: one focused on how costs of victimization are estimated and the other on estimation methods and data sources concerning the incidence, prevalence, and concentration of victimization. The data collection activities and literature reviews, combined with extensive input from an advisory board of experts throughout the project, inform the menu of recommendations proposed in Volume III. These focus on topical areas where more information is needed; methodological recommendations to improve estimates; and practitioner resources and tools to help disseminate research developments, assist in calculating local estimates, and better equip practitioners to communicate and use victimization cost estimates effectively in the field.

This dataset tracks the cumulative statewide reductions in violent crime since 2006. Data are reported each year by MSAC, the Maryland Statistical Analysis Center, within GOCCP, the Governor's Office of Crime Control and Prevention.

Financial overview and grant giving statistics of Behavior Analysis Center of Asheville

Financial overview and grant giving statistics of Real Estate Information Sharing And Analysis Center

The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the 2000 Census Metropolitan Statistical Areas (MSA) for Valencia County stored in the 2006 TIGER Second Edition dataset.

The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The American Indian / Alaska Native / Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, State-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and State designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile and mean that the area is administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian / Alaska Native areas stored by the Census Bureau, but are displayed in separate shapefiles because of how the fall within the Census Bureau's geographic hierarchy. The 2010 Census boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2010, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). The State of Hawaii's Office of Hawaiian Home Lands provided the legal boundaries used in Census 2000 for the HHLs, but provided no updates since and none for the 2010 Census although there is strong evidence of HHL land acquisitions and large housing and commercial development on most HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2010 Census through the Tribal Statistical Areas Program (TSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized Tribes and only provides legal boundary information when the Tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another Tribal, State, or local government challenges the depiction of a reservation or off-reservation trust land. The boundaries for State recognized American Indian reservations and for SDTSAs were delineated State governor appointed liaisons for the 2010 Census through the State American Indian Reservation Program and TSAP respectively.

This data set contains imagery of New Mexico, from an aerial survey project. The imagery was flown at various scales by Pacific Western Technology (PWT). The film is archived at the Earth Data Analysis Center..

The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.