MIT Licensehttps://opensource.org/licenses/MIT
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Post office locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
USNG is standard that established a nationally consistent grid reference system. It provides a seamless plane coordinate system across jurisdictional boundaries and map scales; it enables precise position referencing with GPS, web map portals, and hardcopy maps. USNG enables a practical system of geoaddresses and a universal map index. This data resides in the GCS 1983 coordinate system and is most suitable for viewing over North America.
This layer shows 1,000 meter grid squares for UTM zone 59.
MGCP Cells - LINKS for download of 1 degree cell sized regions of MGCP vector data. Data is in an ESRI shape file format.Multinational Geospatial Co-production Program (MGCP) datasets covering the 1°x1° degree cells.United Kingdom and CanadaApproved for Public Release
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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The current version supersedes GRID3 NGA - Settlement Extents v3.0; the following changes were made:Corrections on imputed values for building count and building areas.Edits to the data release notes.The GRID3 NGA - Settlement Extents v3.1 include:GRID3_NGA_settlement_extents_v3_1.gpkg: a spatial layer representing settlement polygons.GRID3_NGA_settlement_grid_v3_1.gpkg: a spatial layer representing the centroids of settled grid cells.For more information on data inputs, methodology, and codebooks please see the Data Release Notes.Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 NGA - Settlement Extents v3.1. New York: GRID3. https://doi.org/10.7916/x9xg-e262. Accessed [DAY MONTH YEAR].Terms of use:Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.Copyright 2024. The Trustees of Columbia University in the City of New York.Data license:The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0(https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).Contacts and data queries:The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. This is a MGRS 100km Square Identifier polygon shapefile. The polygons are defined by UTM zone and MGRS band letters into mostly 6 _x8 _ polygons - with subdivisions into MGRS 100km Square Identifiers. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC). Last Updated: 01/2016 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Location/MD_USNGZone17S/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
This is a MGRS 100km Square Identifier polygon shapefile. The polygons are defined by UTM zone and MGRS band letters into mostly 6ºx8º polygons, with subdivisions into MGRS 100km Square Identifiers. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC).This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Location/MD_USNGZone17S/FeatureServer/1
This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. This layer is the MGRS 10 - 000m grid that covers Zone 18S which covers part of MarylandThe U.S. National Grid provides a standardized grid reference system that is seamless across jurisdictional boundaries and allows for pinpointing exact locations. Since USNG is standardized - it can be understood and used as a common geographic framework for response. Zone 18S covers part of Maryland. The vertical UTM boundaries are horizontal latitude band boundaries form (generally) 6 X 8 Grid Zones. Hence - the first three letters of the MGRS value - e.g. '18S' - are referred to as the Grid Zone Designator (GZD). The fourth and fifth characters are a pair of letters identifying one of the 100 - 000-meter grid squares within the grid zone (or UPS area). The S"" in this instance is not to be confused with UTM Zone 18S for UTM in the Southern Hemisphere. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC). Last Updated: 01/2016 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Location/MD_USNGZone18S/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively the ""Data"") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. This layer is the MGRS 100,000m grid that covers Zone 18S which covers part of Maryland.The U.S. National Grid provides a standardized grid reference system that is seamless across jurisdictional boundaries and allows for pinpointing exact locations. Since USNG is standardized - it can be understood and used as a common geographic framework for response. Zone 18S covers part of Maryland. The vertical UTM boundaries are horizontal latitude band boundaries form (generally) 6 X 8 Grid Zones. Hence - the first three letters of the MGRS value - e.g. '18S' - are referred to as the Grid Zone Designator (GZD). The fourth and fifth characters are a pair of letters identifying one of the 100 - 000-meter grid squares within the grid zone (or UPS area). The S"" in this instance is not to be confused with UTM Zone 18S for UTM in the Southern Hemisphere. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC). Feature Service Layer Link: http://geodata.md.gov/imap/rest/services/Location/MD_USNGZone18S/FeatureServer/1 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively the ""Data"") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
This is a MGRS 10km Square Identifier polygon shapefile. The polygons are defined by UTM zone and MGRS band letters into mostly 6ºx8º polygons, with subdivisions into MGRS 10km Square Identifiers. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC).This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Location/MD_USNGZone17S/FeatureServer/2
This layer is the MGRS 1000m grid that covers Zone 18S which covers part of Maryland.The U.S. National Grid provides a standardized grid reference system that is seamless across jurisdictional boundaries and allows for pinpointing exact locations. Since USNG is standardized, it can be understood and used as a common geographic framework for response. Zone 18S covers part of Maryland. The vertical UTM boundaries are horizontal latitude band boundaries form (generally) 6° X 8° Grid Zones. Hence, the first three letters of the MGRS value, e.g. “18S”, are referred to as the Grid Zone Designator (GZD). The fourth and fifth characters are a pair of letters identifying one of the 100,000-meter grid squares within the grid zone (or UPS area). The "S" in this instance is not to be confused with UTM Zone 18S for UTM in the Southern Hemisphere. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC).This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Location/MD_USNGZone18S/FeatureServer/3
This layer is the MGRS 100,000m grid that covers Zone 18S which covers part of Maryland.The U.S. National Grid provides a standardized grid reference system that is seamless across jurisdictional boundaries and allows for pinpointing exact locations. Since USNG is standardized, it can be understood and used as a common geographic framework for response. Zone 18S covers part of Maryland. The vertical UTM boundaries are horizontal latitude band boundaries form (generally) 6° X 8° Grid Zones. Hence, the first three letters of the MGRS value, e.g. “18S”, are referred to as the Grid Zone Designator (GZD). The fourth and fifth characters are a pair of letters identifying one of the 100,000-meter grid squares within the grid zone (or UPS area). The "S" in this instance is not to be confused with UTM Zone 18S for UTM in the Southern Hemisphere. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC).This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Location/MD_USNGZone18S/FeatureServer/1
This is a grid zone designator (GZD) covering Maryland Zone 17S. The polygons are defined by UTM zone and MGRS band letters into mostly 6ºx8º polygons. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC).This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://geodata.md.gov/imap/rest/services/Location/MD_USNGZone17S/FeatureServer/0
Gravity data measure small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This National Gravity Compilation 2019 tilt grid is derived from the 2019 Australian National Gravity Grids A series. These gravity data were acquired under the project No. 202008. The grid has a cell size of 0.00417 degrees (approximately 435m). This gravity anomaly grid is derived from ground observations stored in the Australian National Gravity Database (ANGD) as at September 2019, supplemented with offshore data sourced from v28.1 of the Global Gravity grid developed using data from the Scripps Institution of Oceanography, the National Oceanic and Atmospheric Administration (NOAA), and National Geospatial-Intelligence Agency (NGA) at Scripps Institution of Oceanography, University of California San Diego. Out of the approximately 1.8 million gravity observations, nearly 1.4 million gravity stations in the ANGD with marina data were used to generate this grid. The ground gravity data used in this grid has been acquired by the Commonwealth, State and Territory Governments, the mining and exploration industry, universities and research organisations from the 1940's to the present day. Station spacing varies from approximately 11 km down to less than 1 km, with major parts of the continent having station spacing between 2.5 and 7 km. Terrain corrections to gravity were calculated using both offshore bathymetry and onshore topography data. A tilt filter was then applied to the complete spherical cap Bouguer anomaly (A series) to produce this grid covering Australia and its continental margins.
USNG is standard that established a nationally consistent grid reference system. It provides a seamless plane coordinate system across jurisdictional boundaries and map scales; it enables precise position referencing with GPS, web map portals, and hardcopy maps. USNG enables a practical system of geoaddresses and a universal map index. This data resides in the GCS 1983 coordinate system and is most suitable for viewing over North America.
This layer shows 1,000 meter grid squares for UTM zone 5.
Gravity data measure small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This National Gravity Compilation 2019 includes airborne CSCBA image is an image derived from the 2019 Australian National Gravity Grids B series. These gravity data were acquired under the project No. 202008. The grid used to produce this image has a cell size of 0.00417 degrees (approximately 435m). The data are given in units of um/s^2, also known as 'gravity units', or gu. This gravity anomaly grid is derived from ground observations stored in the Australian National Gravity Database (ANGD) as at September 2019, supplemented by offshore data sourced from v28.1 of the Global Gravity grid developed using data from the Scripps Institution of Oceanography, the National Oceanic and Atmospheric Administration (NOAA), and National Geospatial-Intelligence Agency (NGA) at Scripps Institution of Oceanography, University of California San Diego. Out of the approximately 1.8 million gravity observations, nearly 1.4 million gravity stations in the ANGD together with Airborne Gravity surveys totaling 345,000 line km and 106,000 line km of Airborne Gravity Gradiometry were used to generate this grid. The ground gravity data used in this grid has been acquired by the Commonwealth, State and Territory Governments, the mining and exploration industry, universities and research organisations from the 1940's to the present day. Station spacing varies from approximately 11 km down to less than 1 km, with major parts of the continent having station spacing between 2.5 and 7 km. Airborne surveys have a line spacing ranging from 0.5 km to 2.5 km. The image shows complete Bouguer anomalies (B series) over Australia and its continental margins. Terrain corrections to gravity were calculated using both offshore bathymetry and onshore topography data.
Gravity data measure small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This National Gravity Compilation 2019 DGIR grid is produced from the 2019 Australian National Gravity Grids A series. These gravity data were acquired under the project No. 202008. The grid has a cell size of 0.00417 degrees (approximately 435m). The data are given in units of um/s^2, also known as 'gravity units', or gu. The data are derived from ground observations stored in the Australian National Gravity Database (ANGD) as at September 2019, supplemented by offshore data sourced from v28.1 of the Global Gravity grid developed using data from the Scripps Institution of Oceanography, the National Oceanic and Atmospheric Administration (NOAA), and National Geospatial-Intelligence Agency (NGA) at Scripps Institution of Oceanography, University of California San Diego. Out of the approximately 1.8 million gravity observations, nearly 1.4 million gravity stations in the ANGD together with marine data were used to generate this grid. The ground gravity data used in this grid has been acquired by the Commonwealth, State and Territory Governments, the mining and exploration industry, universities and research organisations from the 1940's to the present day. Station spacing for ground observations varies from approximately 11 km down to less than 1 km, with major parts of the continent having station spacing between 2.5 and 7 km. The grid shows de-trended global isostatic residual anomalies (A series) over Australia and its continental margins. This National Gravity Compilation 2019 DGIR grid (DGIR) was obtained by subtracting 3 quantities (i.e., the near-field isostatic correction, the far-field isostatic correction, and a first order trend correction) from Complete Bouguer Anomaly data (CBA) of the 2019 Australian National Gravity Grids A series.
Gravity data measure small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This National Gravity Compilation 2019 DGIR 0.5VD image is produced from the 2019 Australian National Gravity Grids A series. These gravity data were acquired under the project No. 202008. The grid represented in this image has a cell size of 0.00417 degrees (approximately 435m). The %%MV_DATASETS/SURVEY_NAME% are derived from ground observations stored in the Australian National Gravity Database (ANGD) as at September 2019, supplemented by offshore data sourced from v28.1 of the Global Gravity grid developed using data from the Scripps Institution of Oceanography, the National Oceanic and Atmospheric Administration (NOAA), and National Geospatial-Intelligence Agency (NGA) at Scripps Institution of Oceanography, University of California San Diego. Out of the approximately 1.8 million gravity observations, nearly 1.4 million gravity stations in the ANGD together with marine data were used to generate this grid. The ground gravity data used in this grid has been acquired by the Commonwealth, State and Territory Governments, the mining and exploration industry, universities and research organisations from the 1940's to the present day. Station spacing for ground observations varies from approximately 11 km down to less than 1 km, with major parts of the continent having station spacing between 2.5 and 7 km. The grid shows the half vertical derivative of the de-trended global isostatic residual anomalies (A series) over Australia and its continental margins. The original DGIR was obtained by subtracting 3 quantities (i.e., the near-field isostatic correction, the far-field isostatic correction, and a first order trend correction) from Complete Bouguer Anomaly data (CBA) of the 2019 Australian National Gravity Grids A series. A half vertical derivative was calculated by applying a fast Fourier transform (FFT) process to the DGIR grid of the 2019 Australian National Gravity Grids to produce the grid represented in this image.
Gravity data measure small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This National Gravity Compilation 2019 DGIR tilt image is produced from the 2019 Australian National Gravity Grids A series. These gravity data were acquired under the project No. 202008. The grid has a cell size of 0.00417 degrees (approximately 435m). The %%MV_DATASETS/SURVEY_NAME% are derived from ground observations stored in the Australian National Gravity Database (ANGD) as at September 2019, supplemented by offshore data sourced from v28.1 of the Global Gravity grid developed using data from the Scripps Institution of Oceanography, the National Oceanic and Atmospheric Administration (NOAA), and National Geospatial-Intelligence Agency (NGA) at Scripps Institution of Oceanography, University of California San Diego. Out of the approximately 1.8 million gravity observations, nearly 1.4 million gravity stations in the ANGD together with marine data were used to generate this grid. The ground gravity data used in the national grid has been acquired by the Commonwealth, State and Territory Governments, the mining and exploration industry, universities and research organisations from the 1940's to the present day. Station spacing for ground observations varies from approximately 11 km down to less than 1 km, with major parts of the continent having station spacing between 2.5 and 7 km. The DGIR was obtained by subtracting 3 quantities (i.e., the near-field isostatic correction, the far-field isostatic correction, and a first order trend correction) from Complete Bouguer Anomaly data (CBA) of the 2019 Australian National Gravity Grids A series. The image shows a tilt of the de-trended global isostatic residual (DGIR) anomalies (A series) over Australia and its continental margins. A tilt filter was calculated by applying a fast Fourier transform (FFT) process to the DGIR grid of the 2019 Australian National Gravity Grids A series. A tilt filter is a ratio of the vertical derivative to the total horizontal derivative and is used for detection of edges of geological units.
This is a MGRS 1km Square Identifier polygon shapefile. The polygons are defined by UTM zone and MGRS band letters into mostly 6ºx8º polygons, with subdivisions into MGRS 1km Square Identifiers. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC).This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Location/MD_USNGZone17S/FeatureServer/3
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. This is a grid zone designator (GZD) covering Maryland Zone 17S. The polygons are defined by UTM zone and MGRS band letters into mostly 6 _x8 _ polygons. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC). Last Updated: 01/2016 Feature Service Layer Link: http://geodata.md.gov/imap/rest/services/Location/MD_USNGZone17S/FeatureServer/0 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Post office locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.