15 datasets found

Organization: c35cea1b-9c15-4aa5-b1ac-4caeb0ce3cd9 Formats: SHP

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  • Geological map of Somalia - 1:1,500,000

    This dataset represents the digitized version of the Geological Map of Somalia (scale 1:1,500,000), compiled between 1987 and 1991 and printed in 1994. The map was edited and...

    This dataset represents the digitized version of the Geological Map of Somalia (scale 1:1,500,000), compiled between 1987 and 1991 and printed in 1994. The map was edited and coordinated by E. Abbate, M. Sagri, and F.P. Sassi, with contributions from the Faculty of Geology, Somali National University (Mogadishu) and the Universities of Florence and Padua, Italy, along with several Somali and international collaborators. The map provides a comprehensive overview of Somalia’s geological formations, stratigraphy, and structural features, covering the Gulf of Aden margin, central basins, and the Indian Ocean coastal belt. Lithological units range from Precambrian crystalline complexes to recent Quaternary deposits, with detailed symbology distinguishing volcanic, sedimentary, and metamorphic sequences. The original map also incorporates tectonic structures, fault systems, and stratigraphic cross-sections that are not included in the SHP file, but the original map is provided georeferenced in EPSG:32638 - WGS 84 / UTM zone 38N.

    The digitization process involved georeferencing, vectorization, and attribute assignment of geological units and structures to enable spatial analysis within modern GIS environments. This dataset supports research and decision-making in natural resource management, groundwater assessment, mineral exploration, land-use planning, and academic studies. During the digitization process, the original projection of the map was not specified, requiring approximate control points for georeferencing. As a result, minor distortions may remain, and the spatial alignment is not perfectly accurate.

  • HoA Transboundary Aquifers

    Recognizing the value of transboundary water systems and the fact that many of them continue to be degraded and managed in fragmented ways, the Global Environment Facility...

    Recognizing the value of transboundary water systems and the fact that many of them continue to be degraded and managed in fragmented ways, the Global Environment Facility Transboundary Water Assessment Programme (GEF TWAP) was developed. The Programme aims to provide a baseline assessment that identifies and evaluates changes in these water systems caused by human activities and natural processes, and the consequences such have on dependant human populations. The project is the first truly global comparative assessment for transboundary aquifers, lakes, rivers and large marine ecosystems, as well as a thematic evaluation of the open ocean, through institutional partnerships that hope to seed future global assessments. The project results are envisioned to assist the GEF and other international organizations in setting priorities for supporting the conservation of transboundary water systems. More information on TWAP including final reports can be found on www.geftwap.org

    This portal gives access to the map based results from the Groundwater component of the Transboundary Waters Assessment Programme. The data shown in this portal have been made available by national experts from countries involved in the TWAP Groundwater project. It also includes the results from scenario analyses using the global WaterGAP model (University of Frankfurt, Germany) and a study on groundwater systems of small island developing states, also called SIDS (Simon Frasier University, Canada). More information on TWAP Groundwater, including reports on methodology and outcomes, can be found on www.twap.isarm.org

  • Boreholes Kenya - Rural Focus

    The dataset covers the Counties of Turkana and Marsabit in northern Kenya. It includes borehole records with some geological and water quality measurements. It is part of the...

    The dataset covers the Counties of Turkana and Marsabit in northern Kenya. It includes borehole records with some geological and water quality measurements. It is part of the project "HYDROGEOLOGICAL MAPPING OF TURKANA and MARSABIT AQUIFERS" that was carried out by Rural Focus and SWAS WATER SURVEYS. A significant portion of the data that was required for these datasets was collected from various organizations including Oxfam, the Catholic Diocese of Lodwar, JICA, and the WRA of Kenya. The dataset has undergone improvements in accuracy and consistency while being normalized to align with UNESCO's groundwater data collection template.

  • Ethiopia Population

    This dataset provides population data for Ethiopia, disaggregated by regional states. The data is available in vector format, allowing for spatial visualization. Cross-border...

    This dataset provides population data for Ethiopia, disaggregated by regional states. The data is available in vector format, allowing for spatial visualization. Cross-border settlements are represented separately in a standalone file titled "Crosses Boundary." The dataset includes total population figures and population density, adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).

  • Ethiopia Wells from mwater

    Dataset with boreholes and dug wells in Ethiopia from mwater

    Dataset with boreholes and dug wells in Ethiopia from mwater

  • Geological/Hydrogeological map of the Horn of Africa 1:5.000.000

    The harmonized geological and hydrogeological of the Horn of Africa integrates layers initially provided by the World Bank, which were developed from regional and national maps...

    The harmonized geological and hydrogeological of the Horn of Africa integrates layers initially provided by the World Bank, which were developed from regional and national maps published by the British Geological Survey (BGS). These foundational layers, including detailed geological and aquifer type and productivity maps, were adapted to align cross-border geological formations and hydrogeological units. Through this harmonization, geological formations were reclassified by stratigraphic age and lithological properties, ensuring consistency in representation across Ethiopia, Djibouti, Kenya, Somalia, and South Sudan. Aquifer types and productivity levels were systematically standardized to reflect groundwater flow mechanisms, such as intergranular or fracture flow, and productivity classifications from very low to very high. The harmonized map employs consistent color schemes and attribute codes, allowing for streamlined GIS integration, cross-border assessments, and enhanced water resource management in the Horn of Africa.

  • Somalia, Springs from OpenStreetMap

    Springs in Somalia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

    Springs in Somalia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

  • Somalia, Wells from OpenStreetMap

    Wells in Somalia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

    Wells in Somalia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

  • Kenya, Wells from OpenStreetMap

    Wells in Kenya extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

    Wells in Kenya extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

  • Somalia SWALIM wells

    This dataset is part of the Somalia Water sources Information Management System (SWIMS). From the various sources listed in SWIMS boreholes and wells were selected. The dataset...

    This dataset is part of the Somalia Water sources Information Management System (SWIMS). From the various sources listed in SWIMS boreholes and wells were selected. The dataset gives information about the positioning and in few cases about water level and yield but it is not clarified if the inspection date in the data is referring to the measurements.

  • Ethiopia, Wells from OpenStreetMap

    Wells in Ethiopia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

    Wells in Ethiopia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

  • Ethiopia, Springs from OpenStreetMap

    Springs in Ethiopia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

    Springs in Ethiopia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

  • Kenya, Springs from OpenStreetMap

    Springs in Kenya extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

    Springs in Kenya extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.

  • Turkana County (KE), Boreholes (UNICEF)

    Borehole dataset from UNICEF in part of Turkana County in northern Kenya. Water quality information with dates.

    Borehole dataset from UNICEF in part of Turkana County in northern Kenya. Water quality information with dates.

  • Kenya Boreholes - Acacia Water (Kenya Rapid+)

    Overview of existing and known boreholes in each County (Turkana, Marsabit, Isiolo, Garissa, Wajir), including information of qualitative and quantitative potential (yield and...

    Overview of existing and known boreholes in each County (Turkana, Marsabit, Isiolo, Garissa, Wajir), including information of qualitative and quantitative potential (yield and EC). Note that this is a merged database containing data from the RAPID and UNICEF Hydrogeological mapping of underground water using remote sensing and GIS projects Provider: Acacia Water, RAPID + UNICEF project

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