The map show the broad distribution of the industrial, including construction, mineral resources of Britain and the main sites where these are worked. Over extensive areas bedrock is covered by superficial deposits, including economically important sand and gravel resources. These superficial deposits are not shown on the map. Resources have been defined by dominant lithology (rock type). The map is a synthesis of the mineral resources and mineral working data held by the BGS in 1996. The published (paper) map has not been superseded however the digital mineral resources and mineral workings data has since been superseded. The map is logically consistent throughout.

Following a commission from the Department of the Environment, the British Geological Survey and the Geological Survey of Northern Ireland produced a series of Mineral Resources Maps of Northern Ireland. The maps are intended to assist strategic decision-making in respect of mineral extraction and the protection of important mineral resources against sterilisation. Six digitally generated maps at a scale of 1:100 000 scale are available. The data were produced by the collation and interpretation of mineral resource data principally held by the Geological Survey of Northern Ireland.

This dataset provides digital spatial information on the location of mineral resources in England at a scale of 1:50 000. The term ‘mineral resources’ has a definition under international standards that includes both an economic and geological dimension. These data are based primarily on mapped geology with limited assessment of economics. Therefore, the term ‘mineral resources’ is used here in a broad sense. The dataset allows users to visualise the extent and distribution of mineral resources and to relate them to other forms of land-use (such as urban areas or designated environmentally sensitive areas) or to other factors (such as transport infrastructure and conservation information). The dataset is derived from a set of commissioned projects to prepare a series of mineral resource maps based on counties or amalgamations of counties. Maps for England were commissioned by the central government department with responsibility for mineral planning at the time (Department of the Environment (DoE), Department of the Environment, Transport and the Regions (DETR), Department for Transport, Local Government and the Regions (DTLR), Office of the Deputy Prime Minister (ODPM), and the Department for Communities and Local Government (DCLG) between 1994 and 2006. Each map produced (with an accompanying report describing the mineral resources depicted on the map) is available to download, as a PDF file from the BGS-hosted website: www.MineralsUK.com. During 2011-2012 revisions were made to areas of the resource linework. These changes were made as a result of new research and release of a new version of DiGMap (v5). This work was on an ad hoc basis but affects all resource layers. In 2020 minor revisions to geometry and attributes were made in in response to minor corrections that were required. The paper maps were not re-released with these data updates. The BGS Mineral Resource data does not determine mineral reserves and therefore does not denote potential areas of extraction. Only onshore, mainland mineral resources are included in the dataset. This dataset has been produced by the collation and interpretation of mineral resource data principally held by the British Geological Survey. The mineral resource data presented are based on the best available information, but are not comprehensive and their quality is variable. The dataset should only be used to show a broad distribution of those mineral resources which may be of current or potential economic interest.

This layer of the map based index (GeoIndex) shows the locations of known mines, mineral showings and localities, including sites where minerals of economic interest have been identified in panned concentrates. The information for the index is taken from the Mineral Occurrence Database. The Mineral Occurrence Database holds information on mineral occurrences in the UK including locations of known mines, deposits, prospects and mineral showings, including sites where minerals of potential economic interest have been identified in panned concentrates. Data is normally taken from published sources or from internal BGS records, such as field sheets, rock and stream sediment collection cards. Data compilation started ca. 1994 and the database currently holds about 13 000 records, but details of many more old workings and occurrences remain to be added.

This layer of the map based index (GeoIndex) providex an index to 17,500 borehole rock samples (drillcore) from the Mineral Reconnaissance Programme (MRP) and related studies. The UK Government's Department of Trade and Industry (DTI) funded BGS to provide baseline information on areas prospective for the occurrence of metallic minerals in Great Britain. This programme, known as the MRP, ran continuously from 1973 to 1997 and covered particular locations across Great Britain. It was designed to stimulate private sector exploration and to encourage the development of Britain's indigenous mineral resources. Under the programme a number of boreholes were drilled to gather information. This layer is only available at specific zoom levels. Please zoom to a larger scale to interrogate the map.

This mineral resource data was produced as part of the Mineral Resource Map of Northern Ireland via a commission from the Northern Ireland Department of the Environment. The work resulted in a series of 21 data layers which were used to generate a series of six digitally generated maps. This work was completed in 2012 with one map for each of the six counties (including county boroughs) of Northern Ireland at a scale of 1:100 000. This data and the accompanying maps are intended to assist strategic decision making in respect of mineral extraction and the protection of important mineral resources against sterilisation. They bring together a wide range of information, much of which is scattered and not always available in a convenient form. The data has been produced by the collation and interpretation of mineral resource data principally held by the Geological Survey of Northern Ireland and was funded via a commission from the Northern Ireland Department of the Environment. These layers display the spatial data of the mineral resources of Northern Ireland. There are a series of layers which consist of: Bedrock: Clay, Bauxitic clay, Coal & Lignite, Coal – lignite proven, Conglomerate, Dolomite, Igneous and meta-igneous rock, Limestone, a 100m buffer layer on the Ulster White Limestone, Meta-sedimentary rocks, Perlite, Salt, Sandstone and Silica Sand. Superficial (unconsolidated recent sediments) : Sand & gravel and Peat. The data except for the salt and proven lignite resource layers was derived from the 1:50 00 and 1:250 000 scale DigMap NI dataset. This version of the data retains the internal geological boundaries which are dissolved out in the accompanying dissolved version. A user guide 'The Mineral Resources of Northern Ireland digital dataset (version 1)' OR/12/039 describing the creation and use of the data is available.

These data are part of a larger USGS project to develop an updated geospatial database of mines, mineral deposits and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as â mineâ symbols or features, are currently being digitized on a state-by-state basis from the 7.5-minute (1:24,000-scale) and the 15-minute (1:48,000 and 1:62,500-scale) archive of the USGS Historical Topographic Maps Collection, or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. To date, the compilation of 500,000-plus point and polygon mine symbols from approximately 67,000 maps of 22 western states has been completed: Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Idaho (ID), Iowa (IA), Kansas (KS), Louisiana (LA), Minnesota (MN), Missouri (MO), Montana (MT), North Dakota (ND), Nebraska (NE), New Mexico (NM), Nevada (NV), Oklahoma (OK), Oregon (OR), South Dakota (SD), Texas (TX), Utah (UT), Washington (WA), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the western U.S., but an approximate time line of when these activities occurred. The data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. The data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.

This database includes spatial scope: ① Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan). The data content includes: ① Central Asian metallogenic geological background and advantageous mineral species dataset; The main maps include: Geological Background and Distribution of Dominant Mineral Species in Central Asia (1:2.5 million). The spatial database adopts the ArcGIS platform, which can provide basic data support for regional mineralization law research, resource potential assessment, strategic prospect area delineation, and various thematic map compilation. The database format is a file database (. GDB), which includes engineering files (MXD) and raster images (JPG). Various common graphic formats (PDF, TIF, EPS, etc.) can also be generated as needed. The Central Asian metallogenic belt, prospective area, ore concentration area, and mineral data are determined using Lambert's isometric cone projection, with the central longitude and double latitude determined based on specific locations. Data sources and processing methods; The basic geological data mainly comes from the Asian Geological Map (2015) compiled by Academician Ren Jishun (1:5 million), the Central Eurasian Tectonic Metallogenic Map and Geological Map (2008) (1:2.5 million), and the Geological Survey Department Geological Map of various countries in the region (1:10 million); ② The main sources of mineral data include the results of the National Mineral Resource Potential Assessment Project (2012), the Central Asian Mineral Database and Thematic Map of the Natural History Museum in London, UK (2014), the Afghanistan dataset of the United States Geological Survey (2008), relevant data from geological survey departments of various countries in the region, and papers and papers related to mineral resources in the region. In addition, to meet the needs of various data modifications and improvements, a large amount of remote sensing data is used, including ETM+, OLI, ASTER, Worldview and other image data, as well as 90m, 30m, 12.5m DEM data, etc. Data quality description; In order to meet the needs of studying the ore-forming laws, geological mineral maps, and ore-forming prediction maps in the pan third polar region, editing, processing, and supplementing are carried out in terms of data spatial accuracy, logical consistency, and data integrity. Specifically, it includes: ① vectorization, based on the aforementioned data, a large amount of vectorization work has been carried out to supplement the missing areas of digital data (Iran, Pakistan), while merging and segmenting various surface and line features according to the degree of data update. The vectorization work is completed in accordance with the scale accuracy requirements of relevant Chinese standards; ② Topology processing to eliminate topology errors such as overlapping surfaces and empty areas; ③ Improve the structure of element attributes and supplement the content of element attributes, focusing on the research of regional mineralization laws, the compilation of geological mineral maps and mineralization prediction maps, and in accordance with relevant Chinese regulations, combined with specific information and data content, establish corresponding data models, improve the attribute structure of geological bodies, structures, and mineral elements, and complete the corresponding attribute filling work; ④ Based on the above data processing content, combined with the research results and latest understanding of the pan third pole, further modifications and improvements have been made to the relevant geological content in the area. Data Application Achievements and Prospects: The Central Asian Metallogenic Geological Background and Dominant Mineral Species Database mainly serves the study of ore-forming laws in the Pan Third Pole Central Asian region, important ore-forming belts, and national and regional regions, as well as the compilation of the Central Asian Metallogenic Geological Background and Dominant Mineral Species Distribution Map, with a scale of 1:2.5 million.

This database includes spatial scope: ① Xinjiang, China; ② Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan). The data content mainly includes: ① Structural map dataset of Xinjiang and neighboring Central Asia (rock construction combination, structural zoning, mineralization zone, prospective area, target area, mineral resources); The main drawings include: Structural maps of Xinjiang and neighboring Central Asia (1:2.5 million). The spatial database adopts the ArcGIS platform, which can provide basic data support for regional mineralization law research, resource potential assessment, strategic prospect area delineation, and various thematic map compilation. The database format is a file database (. GDB), which includes engineering files (MXD) and raster images (JPG). Various common graphic formats (PDF, TIF, EPS, etc.) can also be generated as needed. The structural map data of Xinjiang and its neighboring areas in Central Asia are projected using Lambert's equal conical projection, with a central longitude of 75 degrees east and dual latitudes of 30 degrees and 50 degrees respectively. Data sources and processing methods; The basic geological data mainly comes from the Asian Geological Map (2015) compiled by Academician Ren Jishun (1:5 million), the Central Eurasian Tectonic Metallogenic Map and Geological Map (2008) (1:2.5 million), and the Geological Survey Department Geological Map of various countries in the region (1:10 million); The main sources of mineral data include the results of the National Mineral Resource Potential Assessment Project (2012), the Central Asian Mineral Database and Thematic Map of the Natural History Museum in London, UK (2014), the Afghanistan dataset of the United States Geological Survey (2008), relevant data from geological survey departments of various countries in the region, and papers and papers related to mineral resources in the region. In addition, to meet the needs of various data modifications and improvements, a large amount of remote sensing data is used, including ETM+, OLI, ASTER, Worldview and other image data, as well as 90m, 30m, 12.5m DEM data, etc. Data quality description; In order to meet the needs of studying the ore-forming laws, geological mineral maps, and ore-forming prediction maps in the pan third polar region, editing, processing, and supplementing are carried out in terms of data spatial accuracy, logical consistency, and data integrity. Specifically, it includes: ① vectorization, based on the aforementioned data, a large amount of vectorization work has been carried out to supplement the missing areas of digital data (Iran, Pakistan), while merging and segmenting various surface and line features according to the degree of data update. The vectorization work is completed in accordance with the scale accuracy requirements of relevant Chinese standards; ② Topology processing to eliminate topology errors such as overlapping surfaces and empty areas; ③ Improve the structure of element attributes and supplement the content of element attributes, focusing on the research of regional mineralization laws, the compilation of geological mineral maps and mineralization prediction maps, and in accordance with relevant Chinese regulations, combined with specific information and data content, establish corresponding data models, improve the attribute structure of geological bodies, structures, and mineral elements, and complete the corresponding attribute filling work; Based on the above data processing content, combined with the research results and latest understanding of the pan third pole, further modifications and improvements have been made to the relevant geological content in the area. Data Application Achievements and Prospects: The Xinjiang and Central Asia Neighborhood Structural Map Dataset mainly serves the study of mineralization laws and the compilation of structural background maps for important ore-forming belts and country regions within the Pan Third Pole, with a scale of 1:2.5 million (Xinjiang Central Asia Corridor, China).

During 1976-1990, ca 30,000 km of echosounding profiles were carried out and ca 7000 km of shallow seismic lines, 6051 samples of surface bottom deposits and 827 cores were taken. Also, 23 boreholes were made. Standard investigations in the laboratory were done including: 8850 analyses of grain size distributions, ca 3570 content of heavy minerals and ca 2150 composition of heavy minerals. Also, 14C, TL, pollen and diatomological analyses were carried out. The results of cruises and laboratory work are presented on 12 sheets of maps, which contain: the map of bottom sediments (scale 1:200,000), geological cross-sections, geological profiles, and maps (scale 1:500,000) of geomorphology, lithodynamics, sediments 1m below the bottom surface, and mineral resources (legends are in Polish and English). There is also an explanatory booklet for each sheet of the map (in Polish only). The results of cruises and laboratory work are also stored in a computer database (Fox-Pro). Only echograms and shallow seismic records are in hard copies.

This dataset has been created to define future aggregate resource areas (AGG3) as shown in the MMO East Inshore and East Offshore marine plans. The data represents key outputs from the British Geological Society (BGS) Report, The Mineral Resources of The East Inshore and East Offshore Marine Plan Areas (Bide et al, 2011). This depicts mineral resources with current or potential future economic interest in the East Inshore and East Offshore marine plan areas. The data displayed on the map was created by combining; The geological distribution of all offshore aggregate minerals and Prospective areas for coarse sand and gravel in the Humber, East Anglia region and the Outer Thames Estuary.

Linear features (shown as polylines) represent six classes of geological structural features e.g. faults, folds or landforms e.g. buried channels, glacial drainage channels at the ground or bedrock surface (beneath superficial deposits). Linear features are associated most closely with the bedrock theme either as an intrinsic part of it for example marine bands or affecting it in the case of faults. However landform elements are associated with both bedrock and superficial deposits. The linear features are organised into seven main categories: Alteration area indicating zones of change to the pre-existing rocks due to the application of heat and pressure that can occur round structural features such as faults and dykes. Fault where a body of bedrock has been fractured and displaced by a large scale process affecting the earth's crust. Fold where strata are bent or deformed resulting from changes or movement of the earth's surface creating heat and pressure to reshape and transform the original horizontal strata. Folds appear on all scales, in all rock types and from a variety of causes. Fossil horizons where prolific fossil assemblages occur and can be used to help establish the order in which deposits were laid down (stratigraphy). These horizons allow correlation where sediments of the same age look completely different due to variations in depositional environment. Mineral vein where concentrations of crystallised mineral occur within a rock, they are closely associated with faulting, but may occur independently. Landforms define the landscape by its surface form; these include glacial features such as drumlins, eskers and ice margins. Rock identifies key (marker) beds, recognised as showing distinct physical characteristics or fossil content. Examples include coal seams, gypsum beds and marine bands. The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles and are available under BGS data licence.

Linear features (shown as polylines) represent six classes of geological structural features e.g. faults, folds or landforms e.g. buried channels, glacial drainage channels at the ground or bedrock surface (beneath superficial deposits). Linear features are associated most closely with the bedrock theme either as an intrinsic part of it for example marine bands or affecting it in the case of faults. However landform elements are associated with both bedrock and superficial deposits. The linear features are organised into seven main categories: Alteration area, indicating a zone of change to the pre-existing rocks due to the application of heat and pressure that can occur round structural features such as faults and dykes. Fault, where a body of bedrock has been fractured and displaced by a large scale process affecting the earth's crust. Fold, where strata are bent or deformed resulting from changes or movement of the earth's surface creating heat and pressure to reshape and transform the original horizontal strata. Folds appear on all scales, in all rock types and from a variety of causes. Fossil horizons, where prolific fossil assemblages occur and can be used to help establish the order in which deposits were laid down (stratigraphy). These horizons allow correlation where sediments of the same age look completely different due to variations in depositional environment. Landforms, define the landscape by its surface form; these include glacial features such as drumlins, eskers and ice margins. Mineral vein, where concentrations of crystallised mineral occur within a rock, they are closely associated with faulting but may occur independently. Rock, identifies key (marker) beds, recognised as showing distinct physical characteristics or fossil content. Examples include coal seams, gypsum beds and marine bands. The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles and are available under BGS data licence.

Originally called the Mineral Deposits map (1969) and revised in 2001, this map was re-released as the Mineral Occurrence Map of Kenya in 2011. The base map is the Administrative boundaries map SK81A at 1:1 million scale overlaid with the location recorded location of mineral occurrences.

Geoinform: mineral data stacking, recording & processing

Website: http://geoinf.kiev.ua/wp/interaktyvna-karta-rodovyshch-korysnykh-kopalyn.htm

Linear features (shown as polylines) represent seven classes of geological structural features e.g. faults, folds or landforms e.g. buried channels, glacial drainage channels at the ground or bedrock surface (beneath superficial deposits). The scale of the data is 1:10 000 scale. Onshore coverage is partial with approximately 30% of England, Scotland and Wales available in the version 2 data release. BGS intend to continue developing coverage at this scale; current focus is to include all large priority urban areas, along with road and rail transport corridors. Linear features are associated most closely with the bedrock theme either as an intrinsic part of it for example marine bands or affecting it in the case of faults. However landform elements are associated with both bedrock and superficial deposits. The linear features are organised into seven main categories: Alteration area indicating zones of change to the pre-existing rocks due to the application of heat and pressure can occur round structural features such as faults and dykes. Fault where a body of bedrock has been fractured and displaced by a large scale process affecting the earth's crust. Fold where strata are bent or deformed resulting from changes or movement of the earth's surface creating heat and pressure to reshape and transform the original horizontal strata. Folds appear on all scales, in all rock types and from a variety of causes. Fossil horizons where prolific fossil assemblages occur and can be used to help establishing the order in which deposits were laid down (stratigraphy). These horizons allow correlation where sediments of the same age look completely different due to variations in depositional environment. Mineral vein where concentrations of crystallised mineral occur within a rock, they are closely associated with faulting but may occur independently. Landforms define the landscape by its surface form; these include glacial features such as drumlins, eskers and ice margins. Rock identifies key (marker) beds, recognised as showing distinct physical characteristics or fossil content. Examples include coal seams, gypsum beds and marine bands. The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles and are available under BGS data licence.

This database includes spatial scope: ① Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan). The main data content includes: ① 1:1.5 million geological dataset (geological bodies and structures); ② The main maps of the metal mineral dataset (deposits, occurrences, mineralization points) include: Geological and Mineral Map of Four Central Asian Countries (1:1.5 million). The spatial database adopts the ArcGIS platform, which can provide basic data support for regional mineralization law research, resource potential assessment, strategic prospect area delineation, and various thematic map compilation. The database format is a file database (. GDB), which includes engineering files (MXD) and raster images (JPG). Various common graphic formats (PDF, TIF, EPS, etc.) can also be generated as needed. The geological and mineral data of the four Central Asian countries at a ratio of 1:1.5 million are projected using Lambert's isometric cone, with a central longitude of 67 degrees east and dual latitudes of 30 degrees and 50 degrees respectively. Data sources and processing methods; The basic geological data mainly comes from the Asian Geological Map (2015) compiled by Academician Ren Jishun (1:5 million), the Central Eurasian Tectonic Metallogenic Map and Geological Map (2008) (1:2.5 million), and the Geological Survey Department Geological Map of various countries in the region (1:10 million); ② The main sources of mineral data include the results of the National Mineral Resource Potential Assessment Project (2012), the Central Asian Mineral Database and Thematic Map of the Natural History Museum in London, UK (2014), the Afghanistan dataset of the United States Geological Survey (2008), relevant data from geological survey departments of various countries in the region, and papers and papers related to mineral resources in the region. In addition, to meet the needs of various data modifications and improvements, a large amount of remote sensing data is used, including ETM+, OLI, ASTER, Worldview and other image data, as well as 90m, 30m, 12.5m DEM data, etc. Data quality description; In order to meet the needs of studying the ore-forming laws, geological mineral maps, and ore-forming prediction maps in the pan third polar region, editing, processing, and supplementing are carried out in terms of data spatial accuracy, logical consistency, and data integrity. Specifically, it includes: ① vectorization, based on the aforementioned data, a large amount of vectorization work has been carried out to supplement the missing areas of digital data (Iran, Pakistan), while merging and segmenting various surface and line features according to the degree of data update. The vectorization work is completed in accordance with the scale accuracy requirements of relevant Chinese standards; ② Topology processing to eliminate topology errors such as overlapping surfaces and empty areas; ③ Improve the structure of element attributes and supplement the content of element attributes, focusing on the research of regional mineralization laws, the compilation of geological mineral maps and mineralization prediction maps, and in accordance with relevant Chinese regulations, combined with specific information and data content, establish corresponding data models, improve the attribute structure of geological bodies, structures, and mineral elements, and complete the corresponding attribute filling work; ④ Based on the above data processing content, combined with the research results and latest understanding of the pan third pole, further modifications and improvements have been made to the relevant geological content in the area. Data application achievements and prospects: The geological and mineral resources dataset of the four Central Asian countries mainly serves the study of regional mineralization laws, geological and mineral resources maps, and mineralization prediction maps of the Central Asian region within the Pan Third Pole, with a scale of 1:1.5 million (for the four Central Asian countries).

3200 mineral veins (i.e. lead, fluorspar) of the Southern Pennine Orefield within the Peak District National Park captured as a single dataset in 1983 from BGS 1:10 560 published maps with additional veins from referenced literature. The data covers a small, very limited area. Also includes several pipe and flat deposits. Also includes mapped faults. The dataset is approximately 99.5% complete. Uses for the data include economic geology, mineral resources, mine hazards. Veins are numbered but not named.

This database includes spatial scope: ① Xinjiang, China; ② West Asia (Pakistan, Afghanistan, Iran). The main data content includes: ① 1:5 million geological dataset (geological bodies and structures); ② Metal mineral dataset (deposits, occurrences, mineralization points); The main map includes the mineralization pattern map of the Xinjiang West Asia Corridor in China (1:5 million). The spatial database adopts the ArcGIS platform, which can provide basic data support for regional mineralization law research, resource potential assessment, strategic prospect area delineation, and various thematic map compilation. The database format is a file database (. GDB), which includes engineering files (MXD) and raster images (JPG). Various common graphic formats (PDF, TIF, EPS, etc.) can also be generated as needed. The geological and mineral data of the Xinjiang West Asia Corridor in China are projected using Lambert's isometric cone, with a central longitude of 78 degrees east. Data sources and processing methods; The basic geological data mainly comes from the Asian Geological Map (2015) compiled by Academician Ren Jishun (1:5 million), the Central Eurasian Tectonic Metallogenic Map and Geological Map (2008) (1:2.5 million), and the Geological Survey Department Geological Map of various countries in the region (1:10 million); The main sources of mineral data include the results of the National Mineral Resource Potential Assessment Project (2012), the Central Asian Mineral Database and Thematic Map of the Natural History Museum in London, UK (2014), the Afghanistan dataset of the United States Geological Survey (2008), relevant data from geological survey departments of various countries in the region, and papers and papers related to mineral resources in the region. In addition, to meet the needs of various data modifications and improvements, a large amount of remote sensing data is used, including ETM+, OLI, ASTER, Worldview and other image data, as well as 90m, 30m, 12.5m DEM data, etc. 3) Data quality description; In order to meet the needs of studying the ore-forming laws, geological mineral maps, and ore-forming prediction maps in the pan third polar region, editing, processing, and supplementing are carried out in terms of data spatial accuracy, logical consistency, and data integrity. Specifically, it includes: ① vectorization, based on the aforementioned data, a large amount of vectorization work has been carried out to supplement the missing areas of digital data (Iran, Pakistan), while merging and segmenting various surface and line features according to the degree of data update. The vectorization work is completed in accordance with the scale accuracy requirements of relevant Chinese standards; ② Topology processing to eliminate topology errors such as overlapping surfaces and empty areas; ③ Improve the structure of element attributes and supplement the content of element attributes, focusing on the research of regional mineralization laws, the compilation of geological mineral maps and mineralization prediction maps, and in accordance with relevant Chinese regulations, combined with specific information and data content, establish corresponding data models, improve the attribute structure of geological bodies, structures, and mineral elements, and complete the corresponding attribute filling work; ④ Based on the above data processing content, combined with the research results and latest understanding of the pan third pole, further modifications and improvements have been made to the relevant geological content in the area. 4) Data application achievements and prospects: The Xinjiang West Asia Corridor Geological and Mineral Dataset mainly serves the Pan Third Pole Xinjiang West Asia Corridor area, important mineralization zones, and the study of regional mineralization laws, geological and mineral maps, and the preparation of mineralization prediction maps. The scale is 1:5 million (New Xinjiang West Asia Corridor, China).

1) Data content: this database includes spatial scope: ① Qinghai Tibet Plateau and Xinjiang in China; ② Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan); ③ West Asia (Pakistan, Afghanistan, Iran); ④ Southeast Asia (Thailand, Vietnam, Laos, Myanmar, Cambodia). The data content mainly includes: ① 1:5 million geological data set (geological body and structure); ② 1:1 million geological and mineral data sets of various countries (geological body, structure and mineral resources); ② Metal mineral data sets (deposits, occurrences, mineralized spots); ③ Xinjiang Central Asia metallogenic geological background data set (rock formation assemblage, tectonic zoning, metallogenic zone, prospective area, target area and minerals); Main maps include: Pan third pole geological and mineral map (1:5 million), geological and mineral map of four Central Asian countries (1:1.5 million), geological and mineral map of Pakistan (1:1 million), geological and mineral map of Afghanistan (1:1 million), geological and mineral map of Iran (1:1 million), geological and mineral map of Xinjiang Central Asia corridor in China (1:2.5 million), metallogenic law map of Xinjiang Central Asia corridor in China (1:2.5 million) Geological and mineral map of Qinghai Tibet Plateau in China (1:1.5 million). The spatial database adopts ArcGIS platform, which can provide basic data support for regional metallogenic law research, resource potential evaluation, strategic prospect area delineation and various thematic maps. The database format is file database (. GDB), and drawings include engineering files (MXD) and grid diagrams (jpg). Various common graphics formats (PDF, TIF, EPS, etc.) can also be generated as required. The pan third pole region (1:5 million) adopts Lambert Conformal cone projection, with the central longitude of 84 degrees east longitude and double latitudes of 20 degrees and 55 degrees respectively. The geological and mineral data of China's Xinjiang Central Asia corridor belt adopts Lambert isometric conic projection. The central longitude is 75 degrees east longitude and the double latitudes are 30 degrees and 50 degrees respectively. The 1:1 million geological and mineral data of major countries in central and West Asia adopt Lambert isometric conic projection, and the central longitude and double latitude are determined according to the location of each country. 2) Data source and processing method; The basic geological data are mainly from the geological map of Asia (2015) (1:5 million), the tectonic metallogenic map and geological map of Central Eurasia (2008) (1:2.5 million), and the geological map of geological survey departments of various countries in the region (1:1 million); ② The main sources of mineral data include the results of the national mineral resource potential evaluation project (2012), the Central Asian mineral database and thematic map of the natural history museum in London, UK (2014), the Afghanistan data set of the U.S. Geological Survey (2008), relevant data of geological survey departments of various countries in the region, and papers on minerals in the region. In addition, in order to meet the modification and improvement of various data, a large number of remote sensing data are used, including image data such as ETM +, oli, aster and worldview, as well as 90m, 30m and 12.5mdem data. 3) Data quality description; In order to meet the needs of the study of metallogenic law in Pan third pole region and the preparation of geological and mineral map and metallogenic prediction map, the data spatial accuracy, logical consistency and data integrity are edited, processed and supplemented. Specifically, it includes: ① vectorization. A lot of vectorization work has been carried out based on the above data to supplement the missing areas of digital data (Iran and Pakistan). At the same time, various surface elements and line elements are combined and divided according to the degree of data update. The vectorization work is completed according to the requirements of relevant specifications and scale accuracy in China; ② Topology processing to eliminate topology errors such as overlapping surfaces and empty areas; ③ Improve the element attribute structure and supplement the element attribute content, focus on the preparation objectives of regional metallogenic law research, geological and mineral map and metallogenic prediction map, establish the corresponding data model according to China's relevant specifications and combined with specific data and data content, improve the attribute structure of geological body, structure and mineral elements, and complete the filling in of corresponding attributes; ④ Based on the above data processing contents, combined with the pan third pole research results and the latest understanding, the relevant geological contents in the area have been further modified and improved. 4) Data application achievements and prospects: the pan third pole geological