This data set of state and regional boundaries was derived from the 1:3 million scale administrative boundaries (ESRI, 1998) for the land area of the Former Soviet Union. There are 162 administrative regions distinguished in this data set. The vector map of state and regional boundaries for the FSU is in ArcView shapefile format.
This data release includes text files of well data and shapefiles of potentiometric contours of the Fort Union, Hell Creek, and Fox Hills aquifers within the Standing Rock Indian Reservation. The data accompanies a USGS scientific investigations map from Anderson and Lundgren (2024). The Standing Rock Sioux Tribe (the Tribe) and the U.S. Geological Survey (USGS) completed a comprehensive assessment of groundwater resources within the Standing Rock Indian Reservation.Generalized potentiometric surfaces of the Fort Union, Hell Creek, and Fox Hills aquifers were constructed to assess the groundwater resources of the Standing Rock Indian Reservation. Water-level data from the U.S. Geological Survey Groundwater Site Inventory (GWSI) database, the North Dakota Department of Water Resources (NDDWR), and the South Dakota Department of Agriculture and Natural Resources (SDDANR) were compiled and used to construct generalized potentiometric-surface maps representing average conditions of the Fort Union, Hell Creek, and Fox Hills Formations. The water-level measurements mean was used for wells with more than one water-level measurement. Recorded depth to water-levels were converted to hydraulic head by subtracting the water level from the land-surface elevation at the well location. Hydraulic-head values were spatially interpolated to create 2-dimensional potentiometric surfaces. The interpolated potentiometric surfaces were contoured using contour intervals of 50 ft and smoothed to correct for extreme changes in the potentiometric surfaces in areas of sparse data.
This feature service is available through CT ECO, a partnership between UConn CLEAR and CT DEEP. It is also available as a map service and a tiled map service. This dataset is a statewide service of municipal parcels (properties) including their geometry (polygon shape) and attributes (tabular information about each parcel). In order to preserve the attributes, each municipality is added individually to the service.
This data set of state and regional boundaries was derived from the 1:3 million scale administrative boundaries (ESRI, 1998) for the land area of the Former Soviet Union. There are 162 administrative regions distinguished in this data set. The vector map of state and regional boundaries for the FSU is in ArcView shapefile format.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
European Union Imports of maps, hydrographic or similar charts (printed) from United States was US$1.25 Million during 2024, according to the United Nations COMTRADE database on international trade. European Union Imports of maps, hydrographic or similar charts (printed) from United States - data, historical chart and statistics - was last updated on June of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
European Union Exports of maps, hydrographic or similar charts (printed) to United States was US$2.96 Million during 2024, according to the United Nations COMTRADE database on international trade. European Union Exports of maps, hydrographic or similar charts (printed) to United States - data, historical chart and statistics - was last updated on June of 2025.
The Digital Geologic-GIS Map of Fort Union National Monument and Vicinity, New Mexico is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (foun_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (foun_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (foun_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (foun_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (foun_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (foun_geology_metadata_faq.pdf). Please read the foun_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (foun_geology_metadata.txt or foun_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
The European Union has set its member states the objective of preserving and improving the status of surface waters. The definition of this state and its follow-up are laid down in the Water Framework Directive (WFD) 2000/60/EC of 23 October 2000 and the associated French regulations, in particular the Decree of 25 January 2010 on methods and criteria for assessing the ecological status, chemical status and ecological potential of surface waters. Two “states” of the waters must be established: — ecological status, consisting mainly of biological status and physico-chemistry (general parameters such as dissolved oxygen, nutrients... and hazardous specific pollutants). Ecological status is replaced by the ecological potential for heavily modified water bodies (SMMEs) and artificial water bodies (AMEs); — chemical status, determined by compliance with environmental quality standards (EQS) for so-called “priority” substances (heavy metals, pesticides, etc.), having an impact on human health and the environment. The Framework Directive sets objectives for environmental results, i.e. achieving good ecological status (or potential) and good chemical status by 31 December 2015, with the exception of waters area covered by postponements of deadlines to 2021 or 2027, or targeted by less stringent targets.
The “Statements 2013” prepared by the Water Agencies for the three basins covering the Lorraine region (Rhin-Meuse, Seine-Normandie for the west of the Meuse and Rhône-Méditerranée for the south of the Vosges) were used to create the SIG layer (COURSDEAU_ETAT_LIEUX_2013_BRM_RMC_SN). The States of the Place have been established using data from 2010 and 2011 or if they are absent, those of previous years (2008 for the oldest).
This layer made it possible to produce the document “The ecological and biological status of the rivers, canals and bodies of water of Lorraine — State of play 2013” published on the website on 30 December 2014. The published document presents only the ecological status and one of its two components, the biological state, as the latter corresponds to the competences of the DREAL hydrobiology laboratory with the exception of ichthyfauna. Chemical status cards are provided at the end of the document for information. The internet link of the DREAL Grand Est is: http://www.grand-est.developpement-durable.gouv.fr/qualite-des-eaux-de-surface-r181.html
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).
The Digital Geologic Map of Fort Union National Monument and Vicinity, New Mexico is comprised of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcMap 9.1 layer (.LYR) files. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.htm). The GIS data is available as a 9.1 personal geodatabase (foun_geology.mdb), as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 13N. That data is within the area of interest of Fort Union National Monument.
The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.
The vegetation map was developed through on-screen digitizing of available black and white digital ortho-photographs from 1984 and 1999. The photos were compiled into a GIS with a standard set of ancillary layers provided by the park service (boundaries, roads, facilities, etc.). Using the vegetation classification as the foundation for the map legend, map units were defined with respect to interpretable patterns in the photography, and with an eye to those patterns that would be most important in natural and cultural resources management within the park. The map included 19 map classes and covered a total of 278.13 ha.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
European Union Imports of maps, hydrographic or similar charts (printed) from Grenada was US$182 during 2022, according to the United Nations COMTRADE database on international trade. European Union Imports of maps, hydrographic or similar charts (printed) from Grenada - data, historical chart and statistics - was last updated on June of 2025.
The European Directive 2002/49/EC on the assessment and management of environmental noise sets out a common approach for all Member States of the European Union to avoid, prevent or reduce as a matter of priority the harmful effects of exposure to noise in the environment. It has been transposed into French law by ordinance, ratified by the Law of 26 October 2005 and is now included in the Environmental Code. This approach is based on noise exposure mapping, population information and implementation of the Environmental Noise Prevention Plan (PPBE) at the local level. Articles L572-1 to L572-11 and R572-1 to R572-11 of the Environmental Code define the competent authorities to adopt noise maps and environmental noise prevention plans. As regards the major road and rail infrastructure of the national network, the noise maps and the PPBEs are adopted by the Prefect, in accordance with the conditions laid down in the circular of 7 June 2007 concerning the drawing up of noise maps and plans for the prevention of environmental noise and by the instruction of 23 July 2008.
In the light of the circular of 7 June 2007 on the preparation of noise maps and environmental noise prevention plans, noise maps are to be drawn up for large infrastructure and in large agglomerations. The following are concerned: — roadways used by more than 8200 vehicles/d — railways with more than 82 train crossings/d — agglomerations with a population of more than 100 000 inhabitants
List of Missouri Credit Union, Branches and information there of. There is a provided Geo Location for each. This dataset corresponds with the map- view: https://data.mo.gov/Regulatory/Credit-Unions-Map/8aqp-4djd.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
European Union Imports of maps, hydrographic or similar charts (printed) from Paraguay was US$802 during 2024, according to the United Nations COMTRADE database on international trade. European Union Imports of maps, hydrographic or similar charts (printed) from Paraguay - data, historical chart and statistics - was last updated on June of 2025.
The European Directive 2002/49/EC on the assessment and management of environmental noise sets out a common approach for all Member States of the European Union to avoid, prevent or reduce as a matter of priority the harmful effects of exposure to noise in the environment. It has been transposed into French law by ordinance, ratified by the Law of 26 October 2005 and is now included in the Environmental Code. This approach is based on noise exposure mapping, population information and implementation of the Environmental Noise Prevention Plan (PPBE) at the local level. Articles L572-1 to L572-11 and R572-1 to R572-11 of the Environmental Code define the competent authorities to adopt noise maps and environmental noise prevention plans. As regards the major road and rail infrastructure of the national network, the noise maps and the PPBEs are adopted by the Prefect, in accordance with the conditions laid down in the circular of 7 June 2007 concerning the drawing up of noise maps and plans for the prevention of environmental noise and by the instruction of 23 July 2008.
In the light of the circular of 7 June 2007 on the preparation of noise maps and environmental noise prevention plans, noise maps are to be drawn up for large infrastructure and in large agglomerations. The following are concerned: — roadways used by more than 8200 vehicles/d — railways with more than 82 train crossings/d — agglomerations with a population of more than 100 000 inhabitants
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
European Union Imports of maps, hydrographic or similar charts (printed) from Panama was US$45 during 2024, according to the United Nations COMTRADE database on international trade. European Union Imports of maps, hydrographic or similar charts (printed) from Panama - data, historical chart and statistics - was last updated on July of 2025.
The European Directive 2002/49/EC on the assessment and management of environmental noise sets out a common approach for all Member States of the European Union to avoid, prevent or reduce as a matter of priority the harmful effects of exposure to noise in the environment. It has been transposed into French law by ordinance, ratified by the Law of 26 October 2005 and is now included in the Environmental Code. This approach is based on noise exposure mapping, population information and implementation of the Environmental Noise Prevention Plan (PPBE) at the local level. Articles L572-1 to L572-11 and R572-1 to R572-11 of the Environmental Code define the competent authorities to adopt noise maps and environmental noise prevention plans. As regards the major road and rail infrastructure of the national network, the noise maps and the PPBEs are adopted by the Prefect, in accordance with the conditions laid down in the circular of 7 June 2007 concerning the drawing up of noise maps and plans for the prevention of environmental noise and by the instruction of 23 July 2008.
In the light of the circular of 7 June 2007 on the preparation of noise maps and environmental noise prevention plans, noise maps are to be drawn up for large infrastructure and in large agglomerations. The following are concerned: — roadways used by more than 8200 vehicles/d — railways with more than 82 train crossings/d — agglomerations with a population of more than 100 000 inhabitants
Union County, the northeasternmost county in New Mexico, is rural with an economy based on ranching and agriculture. Surface water resources are limited, thus development of groundwater for stock watering and irrigation is important and extensive. Groundwater studies by the New Mexico Bureau of Geology and Mineral Resources (NMBGMR) in Union County have been conducted in concert with the Northeast Soil and Water Conservation District (NESWCD) and were driven by concerns over recent large groundwater appropriations, the reliability of the groundwater supply for the town of Clayton, and declining water levels that have been observed in many wells over the past few years.
The New Mexico Office of the State Engineer (NMOSE) declared the Clayton Underground Water Basin in 2005, ending unrestricted appropriation and development of groundwater in northeast New Mexico. Recently, the NMOSE has started development of a groundwater flow model of the Clayton Basin for administration of water rights. Important input data for a groundwater flow model include accurate delineation of the groundwater surface and an understanding of water level changes over time.
This data set of state and regional boundaries was derived from the 1:3 million scale administrative boundaries (ESRI, 1998) for the land area of the Former Soviet Union. There are 162 administrative regions distinguished in this data set. The vector map of state and regional boundaries for the FSU is in ArcView shapefile format.