Description: Fire EMS data contains name and location data for selected manmade facilities. These data are designed to be used in general mapping and analysis of structure related activities using a geographic information system (GIS) For mapping purposes, structures can be used with other GIS data themes to produce general reference maps as a base map dataset.
Copyright Text: Maine Office of Geographic Information Systems
Description: Hospitals data contains name and location data for selected manmade facilities. These data are designed to be used in general mapping and analysis of structure related activities using a geographic information system (GIS) For mapping purposes, structures can be used with other GIS data themes to produce general reference maps as a base map dataset.
Copyright Text: Maine Office of Geographic Information Systems
Description: NG_ROADS contains updated road centerline and road name data for Maine at 1:24,000 scale. NG_ROADS digital roads were developed, and are maintained, to serve the Next Generation 911 project in Maine. Next Generation 9-1-1 has many public safety benefits, the two most important features are: the public's ability to dial 9-1-1 for all emergencies and automatic caller location information, critical to speeding up the dispatch of emergency services. The Public Utilities Commission (MEPUC), and Emergency Services Communication Bureau (ESCB) are working to support a statewide implementation of Next Generation 9-1-1 service. ESCB' role in this implementation is to provide technical assistance to towns that need to establish physical addresses. Physical addresses for participating towns are developed based on community defined address intervals, and road names, applied to an updated set of digital roads. NG_ROADS data contains up-to-date road names and address ranges for participating Maine towns. Data is statewide and divided by minor civil divisions. The data set was developed from USGS 1:24,000 digital roads data and ESRI SDE feature class format. The project used GPS collection and worked with each municipality to verify road and roadname data. Other data sources include MEDOQs (appended, compressed USGS Digital Orthophoto Quarter Quadrangles), 10 meter panchromatic sharpened SPOT imagery from the USA Select Statewide Program and US Department of Commerce, Bureau of Census TIGER/LineFiles. A related table Standard Geocodes for Maine Minor Civil Divisions, 1971 is available at http://megis.maine.gov/catalog/"Tables". The coverage includes the ARC items E911, RDNAME, RANGE. Ongoing maintenance of the final data includes the addition and/or correction of roads, roadnames and address ranges at the request of each municipalities Addressing Officer.
Copyright Text: Credit should always be given to the data source and/or originator when the data is transferred or printed. Emergency Services Communication Bureau, http://http://www.maine911.com/index.shtml
Description: NG_ROADS contains updated road centerline and road name data for Maine at 1:24,000 scale. NG_ROADS digital roads were developed, and are maintained, to serve the Next Generation 911 project in Maine. Next Generation 9-1-1 has many public safety benefits, the two most important features are: the public's ability to dial 9-1-1 for all emergencies and automatic caller location information, critical to speeding up the dispatch of emergency services. The Public Utilities Commission (MEPUC), and Emergency Services Communication Bureau (ESCB) are working to support a statewide implementation of Next Generation 9-1-1 service. ESCB' role in this implementation is to provide technical assistance to towns that need to establish physical addresses. Physical addresses for participating towns are developed based on community defined address intervals, and road names, applied to an updated set of digital roads. NG_ROADS data contains up-to-date road names and address ranges for participating Maine towns. Data is statewide and divided by minor civil divisions. The data set was developed from USGS 1:24,000 digital roads data and ESRI SDE feature class format. The project used GPS collection and worked with each municipality to verify road and roadname data. Other data sources include MEDOQs (appended, compressed USGS Digital Orthophoto Quarter Quadrangles), 10 meter panchromatic sharpened SPOT imagery from the USA Select Statewide Program and US Department of Commerce, Bureau of Census TIGER/LineFiles. A related table Standard Geocodes for Maine Minor Civil Divisions, 1971 is available at http://megis.maine.gov/catalog/"Tables". The coverage includes the ARC items E911, RDNAME, RANGE. Ongoing maintenance of the final data includes the addition and/or correction of roads, roadnames and address ranges at the request of each municipalities Addressing Officer.
Copyright Text: Credit should always be given to the data source and/or originator when the data is transferred or printed. Emergency Services Communication Bureau, http://http://www.maine911.com/index.shtml
Description: NG_ROADS contains updated road centerline and road name data for Maine at 1:24,000 scale. NG_ROADS digital roads were developed, and are maintained, to serve the Next Generation 911 project in Maine. Next Generation 9-1-1 has many public safety benefits, the two most important features are: the public's ability to dial 9-1-1 for all emergencies and automatic caller location information, critical to speeding up the dispatch of emergency services. The Public Utilities Commission (MEPUC), and Emergency Services Communication Bureau (ESCB) are working to support a statewide implementation of Next Generation 9-1-1 service. ESCB' role in this implementation is to provide technical assistance to towns that need to establish physical addresses. Physical addresses for participating towns are developed based on community defined address intervals, and road names, applied to an updated set of digital roads. NG_ROADS data contains up-to-date road names and address ranges for participating Maine towns. Data is statewide and divided by minor civil divisions. The data set was developed from USGS 1:24,000 digital roads data and ESRI SDE feature class format. The project used GPS collection and worked with each municipality to verify road and roadname data. Other data sources include MEDOQs (appended, compressed USGS Digital Orthophoto Quarter Quadrangles), 10 meter panchromatic sharpened SPOT imagery from the USA Select Statewide Program and US Department of Commerce, Bureau of Census TIGER/LineFiles. A related table Standard Geocodes for Maine Minor Civil Divisions, 1971 is available at http://megis.maine.gov/catalog/"Tables". The coverage includes the ARC items E911, RDNAME, RANGE. Ongoing maintenance of the final data includes the addition and/or correction of roads, roadnames and address ranges at the request of each municipalities Addressing Officer.
Copyright Text: Credit should always be given to the data source and/or originator when the data is transferred or printed. Emergency Services Communication Bureau, http://http://www.maine911.com/index.shtml
Description: NG_ROADS contains updated road centerline and road name data for Maine at 1:24,000 scale. NG_ROADS digital roads were developed, and are maintained, to serve the Next Generation 911 project in Maine. Next Generation 9-1-1 has many public safety benefits, the two most important features are: the public's ability to dial 9-1-1 for all emergencies and automatic caller location information, critical to speeding up the dispatch of emergency services. The Public Utilities Commission (MEPUC), and Emergency Services Communication Bureau (ESCB) are working to support a statewide implementation of Next Generation 9-1-1 service. ESCB' role in this implementation is to provide technical assistance to towns that need to establish physical addresses. Physical addresses for participating towns are developed based on community defined address intervals, and road names, applied to an updated set of digital roads. NG_ROADS data contains up-to-date road names and address ranges for participating Maine towns. Data is statewide and divided by minor civil divisions. The data set was developed from USGS 1:24,000 digital roads data and ESRI SDE feature class format. The project used GPS collection and worked with each municipality to verify road and roadname data. Other data sources include MEDOQs (appended, compressed USGS Digital Orthophoto Quarter Quadrangles), 10 meter panchromatic sharpened SPOT imagery from the USA Select Statewide Program and US Department of Commerce, Bureau of Census TIGER/LineFiles. A related table Standard Geocodes for Maine Minor Civil Divisions, 1971 is available at http://megis.maine.gov/catalog/"Tables". The coverage includes the ARC items E911, RDNAME, RANGE. Ongoing maintenance of the final data includes the addition and/or correction of roads, roadnames and address ranges at the request of each municipalities Addressing Officer.
Copyright Text: Credit should always be given to the data source and/or originator when the data is transferred or printed. Emergency Services Communication Bureau, http://http://www.maine911.com/index.shtml
Description: Important note, these roads data were edited by TNC Maine to match up with sea level rise predictions. Roads contains updated road centerline and road name data for Maine at 1:24,000 scale. Digital roads were developed, and are maintained, to serve the Next Generation 911 project in Maine. Next Generation 9-1-1 has many public safety benefits, the two most important features are: the public's ability to dial 9-1-1 for all emergencies and automatic caller location information, critical to speeding up the dispatch of emergency services. The Public Utilities Commission (MEPUC), and Emergency Services Communication Bureau (ESCB) are working to support a statewide implementation of Next Generation 9-1-1 service. ESCB' role in this implementation is to provide technical assistance to towns that need to establish physical addresses. Physical addresses for participating towns are developed based on community defined address intervals, and road names, applied to an updated set of digital roads. NG_ROADS data contains up-to-date road names and address ranges for participating Maine towns. Data is statewide and divided by minor civil divisions. The data set was developed from USGS 1:24,000 digital roads data and ESRI SDE feature class format. The project used GPS collection and worked with each municipality to verify road and roadname data. Other data sources include MEDOQs (appended, compressed USGS Digital Orthophoto Quarter Quadrangles), 10 meter panchromatic sharpened SPOT imagery from the USA Select Statewide Program and US Department of Commerce, Bureau of Census TIGER/LineFiles. A related table Standard Geocodes for Maine Minor Civil Divisions, 1971 is available at http://megis.maine.gov/catalog/"Tables". The coverage includes the ARC items E911, RDNAME, RANGE. Ongoing maintenance of the final data includes the addition and/or correction of roads, roadnames and address ranges at the request of each municipalities Addressing Officer.
Copyright Text: Credit should always be given to the data source and/or originator when the data is transferred or printed. Emergency Services Communication Bureau, http://http://www.maine911.com/index.shtml
Description: State-wide GIS dataset approximating the location of the 2015 Highest Annual Tide (HAT) along the Maine coastline. The data was created using outputs from a python-based tool developed by the Maine Geological Survey which adjusts 2015 HAT predictions from NOAA CO-OPs tidal stations along the coastline using NOAA's VDATUM. Bare-earth Light Detection and Ranging (LiDAR) digital elevation models or DEMs,of Maine’s coastal zone areas (2006, 2010, and 2011) were also used as part of the analysis.The polygon feature class includes the following attributes:NOTES - Description of each polygon record in the multipart feature. Each individual polygon is classified or described under one of the following categories: Tidally connected areas, Low-lying unconnected area, Freshwater pond/wetland; one-way flow, Back-barrier wetland; unclear tidal connection, or Area of poor LiDAR returnACREAGE - The SHAPE_AREA of each polygon in the multipart feature converted to acres
Copyright Text: P. A. Slovinsky, C.D. Adams, and C. H. Halsted of the Maine Geological Survey. This data was prepared by the Maine Geological Survey under award CZM grant numbers NA14NOS4190066 and NA12NOS4190018 to the Maine Coastal Program from the National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration or the Department of Commerce.
Description: State-wide GIS dataset approximating the location of the 2015 Highest Annual Tide (HAT) plus one foot of sea level rise otr storm surge along the Maine coastline. The data was created using outputs from a python-based tool developed by the Maine Geological Survey which adjusts 2015 HAT predictions from NOAA CO-OPs tidal stations along the coastline using NOAA's VDATUM. Bare-earth Light Detection and Ranging (LiDAR) digital elevation models or DEMs,of Maine’s coastal zone areas (2006, 2010, and 2011) were also used as part of the analysis.The polygon feature class includes the following attributes:NOTES - Description of each polygon record in the multipart feature. Each individual polygon is classified or described under one of the following categories: Tidally connected areas, Low-lying unconnected area, Freshwater pond/wetland; one-way flow, Back-barrier wetland; unclear tidal connection, or Area of poor LiDAR returnACREAGE - The SHAPE_AREA of each polygon in the multipart feature converted to acres
Copyright Text: P. A. Slovinsky, C.D. Adams, and C. H. Halsted of the Maine Geological Survey. This data was prepared by the Maine Geological Survey under award CZM grant numbers NA14NOS4190066 and NA12NOS4190018 to the Maine Coastal Program from the National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration or the Department of Commerce.
Description: State-wide GIS dataset approximating the location of the 2015 Highest Annual Tide (HAT) plus two feet of sea level rise or storm surge along the Maine coastline. The data was created using outputs from a python-based tool developed by the Maine Geological Survey which adjusts 2015 HAT predictions from NOAA CO-OPs tidal stations along the coastline using NOAA's VDATUM. Bare-earth Light Detection and Ranging (LiDAR) digital elevation models or DEMs,of Maine’s coastal zone areas (2006, 2010, and 2011) were also used as part of the analysis.The polygon feature class includes the following attributes:NOTES - Description of each polygon record in the multipart feature. Each individual polygon is classified or described under one of the following categories: Tidally connected areas, Low-lying unconnected area, Freshwater pond/wetland; one-way flow, Back-barrier wetland; unclear tidal connection, or Area of poor LiDAR returnACREAGE - The SHAPE_AREA of each polygon in the multipart feature converted to acres
Copyright Text: P. A. Slovinsky, C.D. Adams, and C. H. Halsted of the Maine Geological Survey. This data was prepared by the Maine Geological Survey under award CZM grant numbers NA14NOS4190066 and NA12NOS4190018 to the Maine Coastal Program from the National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration or the Department of Commerce.
Description: State-wide GIS dataset approximating the location of the 2015 Highest Annual Tide (HAT) plus 3.3 feet of sea level rise or storm surge along the Maine coastline. The data was created using outputs from a python-based tool developed by the Maine Geological Survey which adjusts 2015 HAT predictions from NOAA CO-OPs tidal stations along the coastline using NOAA's VDATUM. Bare-earth Light Detection and Ranging (LiDAR) digital elevation models or DEMs,of Maine’s coastal zone areas (2006, 2010, and 2011) were also used as part of the analysis.The polygon feature class includes the following attributes:NOTES - Description of each polygon record in the multipart feature. Each individual polygon is classified or described under one of the following categories: Tidally connected areas, Low-lying unconnected area, Freshwater pond/wetland; one-way flow, Back-barrier wetland; unclear tidal connection, or Area of poor LiDAR returnACREAGE - The SHAPE_AREA of each polygon in the multipart feature converted to acres
Copyright Text: P. A. Slovinsky, C.D. Adams, and C. H. Halsted of the Maine Geological Survey. This data was prepared by the Maine Geological Survey under award CZM grant numbers NA14NOS4190066 and NA12NOS4190018 to the Maine Coastal Program from the National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration or the Department of Commerce.
Description: State-wide GIS dataset approximating the location of the 2015 Highest Annual Tide (HAT) plus six feet of sea level rise or storm surge along the Maine coastline. The data was created using outputs from a python-based tool developed by the Maine Geological Survey which adjusts 2015 HAT predictions from NOAA CO-OPs tidal stations along the coastline using NOAA's VDATUM. Bare-earth Light Detection and Ranging (LiDAR) digital elevation models or DEMs,of Maine’s coastal zone areas (2006, 2010, and 2011) were also used as part of the analysis.The polygon feature class includes the following attributes:NOTES - Description of each polygon record in the multipart feature. Each individual polygon is classified or described under one of the following categories: Tidally connected areas, Low-lying unconnected area, Freshwater pond/wetland; one-way flow, Back-barrier wetland; unclear tidal connection, or Area of poor LiDAR returnACREAGE - The SHAPE_AREA of each polygon in the multipart feature converted to acres
Copyright Text: P. A. Slovinsky, C.D. Adams, and C. H. Halsted of the Maine Geological Survey. This data was prepared by the Maine Geological Survey under award CZM grant numbers NA14NOS4190066 and NA12NOS4190018 to the Maine Coastal Program from the National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration or the Department of Commerce.