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This geodatabase reflects the U.S. Geological Survey’s (USGS) ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports in Africa. The geodatabase and geospatial data layers serve to create a new geographic information product in the form of a geospatial portable document format (PDF) map. The geodatabase contains data layers from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration...
Tags: Africa, Algeria, Angola, Benin, Botswana, All tags...
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The boundaries illustrated by these Assessment Units are the result of geologic studies conducted by the World Petroleum Resources Project, 2009-2011 (Project). The boundaries were used to assess the oil and gas resources within the unit. An assessment unit, as defined by the Project, is a mapped volume of rock within the Total Petroleum System (TPS), sufficiently homogeneous in terms of geology, exploration strategy and risk characteristics to constitute a single population of discovered and undiscovered fields with respect to criteria used for resource assessment. Relatedly, the TPS is the essential elements and processes, as well as all genetically related hydrocarbons that occur in petroleum shows, seeps and...
Categories: Data, pre-SM502.8; Tags: Afghan-Tajik Basin, Alberta Basin, Amazonas Basin, Amu-Darya Basin, Anah Graben, All tags...
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This dataset is the second (circa 2000) in a series of three 2-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources (exception is Tchad at 4 kilometers). To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to...
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This data release presents the Yale stocks and flows database (YSTAFDB). Its data describe the use of 102 materials from the early 1800s to circa 2013 through anthropogenic cycles, their recycling and criticality properties, and on spatial scales ranging from suburbs to global. This data collection was previously scattered across multiple non-uniformly formatted files such as journal papers, reports, and unpublished spreadsheets. These data have been synthesized into YSTAFDB, which is presented as individual comma-separated text files and also in MySQL and PostgreSQL database formats. Consolidation of these data into a single database can increase their accessibility and reusability, which is relevant to diverse...
Categories: Data; Tags: AFGHANISTAN, ALBANIA, ALGERIA, ANDORRA, ANGOLA, All tags...
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This dataset is the first (circa 1975) in a series of three 2-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources (exception is Tchad at 4 kilometers). To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to...
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This dataset is the third (2013) in a series of three 2-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources (exception is Tchad at 4 kilometers). To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate...
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This data set consists of records for over 1,500 mineral facilities in Africa and the Middle East. The mineral facilities include mines, plants, mills , or refineries of aluminum, cement, coal, copper, diamond, gold, iron and steel, nickel, platinum-group metals, salt, and silver, among others. Records include attributes such as commodity, country, site, company name, plant capacity if applicable, and generalized coordinates. The data were compiled from multiple sources, including the 2004 USGS Minerals Yearbook (Africa and Middle East volume), minerals statistics and information from the USGS minerals information Web site (http://minerals.usgs.gov/minerals/), and data collected by USGS minerals information country...
Tags: Africa, Algeria, Angola, Bahrain, Benin, All tags...


    map background search result map search result map Mineral Operations of Africa and the Middle East West Africa Land Use Land Cover 1975 West Africa Land Use Land Cover 2000 West Africa Land Use Land Cover 2013 Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of Africa Province, Total Petroleum System and Assessment Unit Boundaries from the 2009-2011 World Petroleum Resources Project West Africa Land Use Land Cover 2000 West Africa Land Use Land Cover 2013 West Africa Land Use Land Cover 1975 Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of Africa Mineral Operations of Africa and the Middle East Province, Total Petroleum System and Assessment Unit Boundaries from the 2009-2011 World Petroleum Resources Project