The Syria Cultural Sites dataset contains geographic location (point geometry), name, type, and area name of over 1000 cultural heritage sites and museums in Syria compiled by the Cultural Heritage Center, Bureau of Educational and Cultural Affairs, U.S. Department of State (http://eca.state.gov/cultural-heritage-center) as of Spring 2013. The sites are categorized by type, which include but not limited to, archaeological sites, roman ruins, mosques, schools, churches, cemeteries, and towns. The data contained herein is entirely unclassified.
Updated April 4, 2019
| Dataset date: Jun 30, 2015
This dataset updates: Every two weeks
Data as of late June 2015. The "Syria IDP Sites" dataset is compiled by the U.S. Department of State, Humanitarian Information Unit (INR/GGI/HIU). This dataset contains open source derived data about the geographic locations (point geometry) of identified tent camps and other locations, such as collective centers, schools, mosques, sports facilities, host families, etc. in towns inside Syria where displacement has taken place. Sources of this information include the United Nations, the Assistance Coordination Unit, the Syria Needs Assessment Project, NGOs, and media reports. Location coordinates are at the city level and are plotted using the Syria P-Code system (http://www.mapaction.org/map-catalogue/mapdetail/2753.html) and NGA GEOnet Names Server (http://earth-info.nga.mil/gns/html) datasets. The field "PCode" is a combination of the all the administrative level and community level P-Codes for a specific location. Camp locations are verified using high-resolutions commercial satellite imagery. In the "Designation" field "IDP Site" refers to informal or formal settlements for specific IDP use. This dataset will be updated as needed and is current as of late June 2015.
This dataset is primarily hosted on the State GeoNode, the open geographic data platform of the U.S. Department of State.
Updated April 4, 2019
| Dataset date: Jun 11, 2015
This dataset updates: Every month
Data as of June 11, 2015. The "Syria Border Crossings" dataset contains verified data about the geographic location (point geometry) and name of border crossings for Syria. Compiled by the U.S. Department of State, Humanitarian Information Unit (https://hiu.state.gov/), each attribute in the dataset is verified against multiple sources. Locations are only accurate down to the city level. The data contained herein is entirely unclassified and is current as of 16 April 2015. The data is updated as needed.
This dataset is primarily hosted on the State GeoNode, the open geographic data platform of the U.S. Department of State.
These are point locations of Gas/Petro Stations,Power Stations,Substations and Transformers,which were mapped by Uganda Bureau of Statistics between 2009 to 2012 under the National Census Mapping Programme.
More detail about this dataset and more downloadable formats can be found here: http://ubos.geo-solutions.it/layers/geonode:energy_layer
These are commercial centres of Uganda which include markets (daily,Weekly & Monthly types),Trading Centres and major shops.The layer was produced by UBOS between 2009 to 2012 under the National Census Mapping Programme.
More detail about this dataset and more downloadable formats can be found here: http://ubos.geo-solutions.it/layers/geonode:commercial_facilities
Updated February 28, 2019
| Dataset date: Jan 1, 2012
This dataset updates: As needed
The water source point data is produced by Uganda Bureau of Statistics between 2009 and 2012 during the National Census Mapping Programme. More information about this file can be found here: http://ubos.geo-solutions.it/layers/geonode:water_points_1
Updated August 9, 2018
| Dataset date: Mar 8, 2013
This dataset updates: Every two weeks
Data as of March 8, 2013. These boundary lines were derived from the World Vector Shoreline dataset and match up with the 2013 detailed LSIB polygons.
The 1:250,000 scale World Vector Shoreline (WVS) coastline data is generally shifted by several hundred meters to over a km. To simplify the polygons, the ArcGIS Simplify Polygon tool was used, using the Bend Simplify algorithm with a maximum allowable offset of 3 miles. Topology was then corrected for any errors produced by the simplification process. For convenience, the dataset is broken out into regions: (1) Africa, (2) Asia and Russia, (3) Europe and Southwest Asia, (4) North America, (5) Oceania, and (6) South America. In the zip file, there is also a global dataset (approximately 24 MBs) that includes all the data.
There are no restrictions on use of this public domain data. This dataset will be updated as needed and is current as of March 08, 2013.
Updated June 26, 2018
| Dataset date: Jun 1, 2018-Jun 1, 2018
This dataset updates: Every year
Polling Station of Pakistan compiled by ALHASAN SYSTEMS Private Limited as one of its R&D projects and in the public interest.
ALHASAN SYSTEMS made these Polling Stationpublic before Pakistan’s General Election 2018in its Open Data/ Open Access [OD/OA] Seminar on May 5, 2013. This data is used thoroughly in Pakistan by many stakeholders and researchers including UN and other donor agencies. For further details on the use of this data please download Alhasan Systems monthly Election Bulletins from [http://www.alhasan.com/bulletins/election].
ALHASAN SYSTEMS is a privately owned development company with a history that goes back to 1990. At present is registered in Pakistan and Canada. This hi-tech knowledge management, business psychology modeling, and publishing company is constantly contributing its data and services to both humanitarian and developmental causes through its Public/ Private Partnership [PPP] SKIM and ODOA initiatives. ALHASAN SYSTEMS strives to provide the most cost effective solutions and services, which not only serve its clients’ immediate requirements but also contribute to the much larger cause of community welfare and development. Its area of professional services spreads from environment, energy, health, education, natural resources, critical infrastructure, utilities management, tourism, and investments, to community development and crisis management. ALHASAN SYSTEMS corporate roadmap focuses on new trends in the field of Geomatics Engineering, Geo-engineering, Data Management, Bio Interfacing, Business Psychology Modeling, Hi-tech publishing, e-Learning, and Smart Power Gridding and Engineering Services. This is possible when fairly serious ecological, political, and moral ramifications are addressed strategically. That’s why social awareness, advocacy, and capacity building remain at the heart of ALHASAN SYSTEMS.
ALHASAN SYSTEMS constantly update its data in relation to its projects and also as a service to larger public bodies as well as research community to promote its pioneering 100% self-financed Open Data/ Open Access [OD/OA] initiative in Pakistan. We also share a number of additional layers and thousands of maps each year free-of-cost in the larger public interest.
All our data are made available through Pakistan’s only Metadata portal [www.geopakistan.pk] launched in 2012 by iMMAP in collaboration with its partners under USAID funding. This portal is now hosted and maintained at NED University of Engineering & Technology with hundreds of registered researchers in Pakistan.
Alhasan Systems is also a United Nations Humanitarian Data Exchange Portal [https://data.hdx.rwlabs.org/] member agency and share its resources through HDX for larger humanitarian benefits.
Updated June 21, 2018
| Dataset date: Aug 14, 2015
This dataset updates: Never
This map illustrates satellite-detected flood waters over western Rakhine State, Myanmar, in the areas of Ann and south of Myebon townships, as imaged by the ALOS-2 / PALSAR satellite on 12 August 2015. In the analyzed area a total of ~3,800 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 3.8% to 4.6% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the main river banks, and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
Afghanistan administrative level 0 (country), 1 (province), and 2 (district), and UNAMA region boundary polygon, line, and point shapefiles, KMZ files, geodatabase and gazetteer.
Provincial/ Regional Constituency Boundaries of Pakistan compiled by ALHASAN SYSTEMS Private Limited as one of its R&D projects and in the public interest.
ALHASAN SYSTEMS made these boundaries public before Pakistan’s General Election 2013 in its Open Data/ Open Access [OD/OA] Seminar on May 5, 2013. This data is used thoroughly in Pakistan by many stakeholders and researchers including UN and other donor agencies. For further details on the use of this data please download Alhasan Systems monthly Election Bulletins from [http://www.alhasan.com/bulletins/election].
Data as of June 11, 2015. The "Syria Refugee Sites" dataset contains verified data about the geographic location (point geometry), name, and operational status of refugee sites hosting Syrian refugees in Turkey, Jordan, and Iraq. Only refugee sites operated by the United Nations High Commissioner for Refugees (UNHCR) or the Government of Turkey are included. Compiled by the U.S Department of State, Humanitarian Information Unit (INR/GGI/HIU), each attribute in the dataset (including name, location, and status) is verified against multiple sources. The name and status are obtained from the UNHCR data portal (accessible at http://data.unhcr.org/syrianrefugees/regional.php). The locations are obtained from the U.S. Department of State, Bureau of Population, Refugees, and Migration (PRM) and the National Geospatial-Intelligence Agency's GEOnet Names Server (GNS) (accessible at http://geonames.nga.mil/ggmagaz/). The name and status for each refugee site is verified with PRM. Locations are verified using high-resolution commercial satellite imagery and/or known areas of population. Additionally, all data is checked against various news sources. Locations are only accurate down to the city level. The designation field gives the type of site and the status of the site. Sites can be "Official Camps", camp settlements that are officially established and maintained by the United Nations or host country. Sites can also be "Transitional Camps", which is a typical camp structure but designed to be temporary or used on as needed basis. There can also be "Transitional Facilities"; these are facilities that are being used to temporarily house refugees. Status of these sites can be Planned, Under Construction, Staged, Open, or Closed. The data contained herein is entirely unclassified and is current as of 11 June 2015. The data is updated as needed.
Updated September 15, 2017
| Dataset date: Jan 7, 2015
This dataset updates: Never
This map illustrates satellite-detected areas of flood water as observed in Sentinel-1 imagery collected 24 November 2014 and 18 December 2014. Waters extended along coastal areas and shores of inland lakes, with few large bodies of flood waters detected. Numerous roads and railroads are likely inundated by flood waters which may impede transport in those areas. It is likely that flood waters have been systematically underestimated in highly vegetated areas along main river banks, and within built-up urban areas because of the characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
Updated August 10, 2017
| Dataset date: Aug 19, 2016
This dataset updates: Never
This map illustrates satellite-detected areas of IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of WorldView-3 satellite imagery acquired 18 August 2016 revealed a total of 8,706 shelters as well as 345 infrastructure and support buildings within the compound. This represents an increase of approximately 2.7 percent in shelters and an increase of roughly 50 percent in infrastructure and support buildings since the previous UNITAR-UNOSAT analysis of 27 June 2016 satellite imagery. New structures and containers were detected within PoC2 on 27 June 2016, as seen in inset 2. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
