Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN>This Public Schools feature dataset is composed of all Public elementary and secondary education facilities in the United States as defined by the Common Core of Data (CCD, https://nces.ed.gov/ccd/ ), National Center for Education Statistics (NCES, https://nces.ed.gov ), US Department of Education for the 2019-2020 school year. This includes all Kindergarten through 12th grade schools as tracked by the Common Core of Data. Included in this dataset are military schools in US territories and referenced in the city field with an APO or FPO address. DOD schools represented in the NCES data that are outside of the United States or US territories have been omitted. This feature class contains all MEDS/MEDS+ as approved by NGA. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the Place Keyword section of the metadata. This release includes the addition of 3917 new records, modifications to the spatial location and/or attribution of 97,771 records, and removal of 4563 records not present in the NCES CCD data.</SPAN></P></DIV></DIV>
Service Item Id: 676ee68ec1b44f62ad3acc0f3821fd45
Copyright Text: Oak Ridge National Laboratory (ORNL) Geographic Information Science and Technology (GIST) Group, National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team
Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN>The local law enforcement locations feature class/ shapefile contains point location and tabular information pertaining to a wide range of law enforcement entities in the United States. Law Enforcement agencies "are publicly funded and employ at least one full-time or part-time sworn officer with general arrest powers". This is the definition used by the US Department of Justice - Bureau of Justice Statistics (DOJ-BJS) for their Census of State and Local Law Enforcement Agencies (CSLLEA). Unlike the previous version of this dataset, published in 2009, federal level law enforcement agencies are excluded from this effort. Data fusion techniques are utilized to synchronize overlapping yet disparate source data. The primary sources for this effort are the DOJ-BJS CSLLEA from 2008 and the previously mentioned 2009 feature class from Homeland Security Infrastructure Foundation-Level Data (HIFLD). This feature class contains data for agencies across all 50 U.S. states, Washington D.C. and Puerto Rico.</SPAN></P></DIV></DIV>
Service Item Id: 676ee68ec1b44f62ad3acc0f3821fd45
Copyright Text: Oak Ridge National Laboratory (ORNL), National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team
Description: The prison boundary feature class contains secure detention facilities. These facilities range in jurisdiction from federal (excluding military) to local governments. Polygon geometry is used to describe the extent of where the incarcerated population is located (fence lines or building footprints). This feature class’s attribution describes many physical and social characteristics of detention facilities in the United States and some of its territories. The attribution for this feature class was populated by open source search methodologies of authoritative sources. Changes from the previous version include 70 records added, 72 closed, and 37 removed.
Service Item Id: 676ee68ec1b44f62ad3acc0f3821fd45
Copyright Text: Oak Ridge National Laboratory (ORNL), National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Polygons showing USACE Civil Works District boundaies. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also sumbitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time.</SPAN></P></DIV></DIV></DIV>