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What is Resource Catalog ?

catalog-iconThe OpenFoundry Resource Catalog lists professional resources and applications related to the development of open source software. If you have any recommendation listing / category  or bug for this resource catalog, please do not hesitate to contact us.

Map Data


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Ordnance Survey

As Great Britain’s national mapping agency, they provide the most accurate and up-to-date geographic data.


This is where you can find extracts of maps from different places around the world. From here you can download:

  • OSM XML extracts by country
  • Garmin Map Files (OSM.err edition)
  • Osmosis country bounding polygon
  • Shapefile extracts by country
  • Navit maps by country
  • GPX POI by country
  • TomTom POI by country
  • OSM XML feature extracts by country
  • Adobe Illustrator files by country

Global Land One-kilometer Base Elevation (GLOBE)

  • GLOBE is a data base. It is a unique, global, digital elevation model (DEM) designed, openly peer-reviewed, implemented, and documented while being coordinated by a global consortium of scientists and organizations. During GLOBE's development, at least two global DEMs were developed by other groups supporting various objectives. However, GLOBE’s objectives (as noted here) are broader than merely the development of the data base.
  • GLOBE is a file format. GLOBE began with the conceptual opening of a two-dimensional thirty-arc-second (30") latitude-longitude digital data array, and the hope to populate it with both the Best Available Data (B.A.D.), and the Globally Only Open-Access Data (G.O.O.D.). The former could include copyright data that might be made available for distribution by GLOBE with minimal restrictions, while the latter could not contain any restricted data. Allowing for both options has enabled GLOBE, for example, to work with the Australian Surveying and Land Information Group to develop a DEM much better than could otherwise be included while respecting the intellectual property rights of the Australian government.
  • GLOBE is a data management philosophy. GLOBE’s original array actually was a nested grid that allowed multiple overlapping coverage at various grid spacings, but all in latitude-longitude projection. The design followed the raster data model of the Geographic Resources Analysis Support System (GRASS), a scientific geographic information system. This concept was used in NGDC's TerrainBase (Row and Hastings, 1994), which was a prototype of GLOBE at lower resolution. The concept proved stable throughout the 8 years of GLOBE's development.
  • GLOBE is a working environment. GLOBE was never a source for funding DEM data creation. Rather, GLOBE was (and is) an ad-hoc group that meets to share information on data sources and development techniques. Semiannual to annual GLOBE meetings were attached to other assemblies to allow for synergy between GLOBE participants and other scientists. The simultaneous development of increased cooperation between agencies in several countries, and between certain military and civilian institutions, led to increased public access to a major military DEM. In addition, that climate led to an agreement for joint development of a dedicated Space Shuttle mission designed to create an almost-global DEM (between 60o North and South latitudes, the orbital coverage of the Space Shuttle). The currently funded U.S. Department of Defense/NASA Shuttle Radar Topography Mapper mission hopes to provide publicly-available 3 arc-second digital elevation data during 2001-2002.

License:Publish Domain

National Atlas

A small-scale map of North America was made using a set of basic map information provided by national atlas programs in Canada, Mexico, and the United States. Now the framework raw data that was used to produce this map is available from nationalatlas.gov.

License:Public Domain


The TIGER/Line files were created from the Census Bureau's TIGER (Topologically Integrated Geographic Encoding and Referencing) database of selected geographic and cartographic information. TIGER was developed at the Census Bureau to support the mapping and related geographic activities required by the decennial and economic censuses and sample survey programs. TIGER/Line files are made available to the public and are typically used by people to provide the digital map base for their Geographic Information System or mapping software.

License:Publish Domain


GTOPO30 is a global digital elevation model (DEM) with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer). GTOPO30 was derived from several raster and vector sources of topographic information. For easier distribution, GTOPO30 has been divided into tiles which can be selected from the map shown above. Detailed information on the characteristics of GTOPO30 including the data distribution format, the data sources, production methods, accuracy, and hints for users, is found in the GTOPO30 README file.

GTOPO30, completed in late 1996, was developed over a three year period through a collaborative effort led by staff at the U.S. Geological Survey's EROS Data Center (EDC). The following organizations participated by contributing funding or source data: the National Aeronautics and Space Administration (NASA), the United Nations Environment Programme/Global Resource Information Database (UNEP/GRID), the U.S. Agency for International Development (USAID), the Instituto Nacional de Estadistica Geografica e Informatica (INEGI) of Mexico, the Geospatial Information Authority of Japan (GSI) Manaaki Whenua Landcare Research of New Zealand, and the Scientific Committee on Antarctic Research (SCAR).

License:Publish Domain

Geospatial Platform

Federal agencies and their partners collect and manage large amounts of geospatial data - but these data are often not easily found when needed or accessible in useful forms. The Geospatial Platform provides ready access to federally maintained geospatial data, services and applications. The content of all datasets and services demarcated with the Data.gov globe  have been verified by the Agency to be consistent with Federal privacy, national security, and information quality policies. As an additional service to our users, we also provide access to data from our partners across State, Tribal, Regional and local governments as well as non-governmental organizations.

Visible Earth Project

The purpose of NASAs Visible Earth is to provide a consistently updated, central point of access to the superset of NASAs Earth science-related images, animations, and data visualizations. Amoung these are for example the Blue Marble (highres true-color image of the earth) or city lights

David Rumsey Map Collection Database

The historical map collection has over 30,000 maps and images online. The collection focuses on rare 18th and 19th century North American and South American maps and other cartographic materials. Historic maps of the World, Europe, Asia, and Africa are also represented.

Catchment Characterisation and Modelling (CCM)

Drainage networks and associated drainage basins form complex functional entities not only for hydrological processes but also for environmental processes at large. This has been recognised in recent European legislation such as the Water Framework Directive (WFD). In order to study the underlying processes and cause-effect relationships at regional to European scales, comprehensive digital data of river networks, drainage basins (catchments) and their characteristics are required. JRC's Catchment Characterisation and Modelling (CCM) activity responded to this need through the development of a pan-European database of river networks and catchments. Version 1.0 of CCM has been published in 2003. In July 2007 an geographically extended and substantially improved CCM Version 2.0 has been released. The current Version 2.1 of July 2008 is an update of version 2.0. It includes the correction of noted errors as well additional functionality. A detailed report on the development of CCM 2.0 as well Release Notes for CCM 2.1 are provided below.

National Transportation Atlas Database

The National Transportation Atlas Database is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportation modal networks and intermodal terminals, as well as the related attribute information for these features. Metadata documentation, as prescribed by the Federal Geographic Data Committee, is also provided for each database. The data support research, analysis, and decision-making across all modes of transportation. They are most useful at the national level, but have major applications at regional, state, and local scales throughout the transportation community.

NGA GEOnet Names Server (GNS)

  • GNS Has been in service since 1994
  • GNS database contains over five (5) million features
  • GNS database contains over eight (8) million feature names
  • GNS feature names data is stored and encoded in Unicode UTF-8 (All search and output functions present and generate the feature names data using the same UTF-8 encoding)
  • The data served by GNS is in a geographic coordinate system based on the WGS84 datum and ellipsoid
  • GNS feature coordinates are approximate and are intended for finding purposes
  • GNS database is updated weekly
  • GNS does not contain any coverage data for the United States of America or its Dependent areas nor does it cover Antarctica. To obtain U.S. or Antarctica coverage data, please access the United States Geological Survey (USGS) Geographic Names Information System (GNIS) database of names.


This data consists of 33 files of global topography in the same format as the SRTM30 products distributed by the USGS EROS data center. The grid resolution is 30 second which is roughly one kilometer. In addition the global data are also available in a single large file ready for GMT.

Land data are based on the 1-km averages of topography derived from the USGS SRTM30 grided DEM data product created with data from the NASA Shuttle Radar Topography Mission. GTOPO30 data are used for high latitudes where SRTM data are not available.

Ocean data are based on the Smith and Sandwell global 1-minute grid between latitudes +/- 81 degrees. Higher resolution grids have been added from the LDEO Ridge Multibeam Synthesis Project, the JAMSTEC Data Site for Research Cruises, and the NGDC Coastal Relief Model. Arctic bathymetry is from the International Bathymetric Chart of the Oceans (IBCAO) [Jakobsson et al., 2003].


Query and order satellite images, aerial photographs, and cartographic products through the U.S. Geological Survey


Frida was a great success, the geographical data has been used by many projects e.g. Thuban, GRASS and others to demonstrate the capabilities of Free Software for handling geographic data and teach GIS.


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