Attribution & Data Sources

Alticarta builds terrain, lake and seafloor models from elevation, boundary, water, river, land cover, geocoding, landform name, undersea feature name, planetary elevation and nomenclature data supplied by many public agencies, open-data projects and research groups, plus a bathymetry dataset assembled from 28 separate government and research sources. Several of the licenses under which this data is published require public acknowledgement. This page credits every source Alticarta uses, in one place, regardless of whether that source's own license happens to require it: 66 sources in all, one entry each below.

Every credit line below is either quoted verbatim from the source's own published license or metadata, or, where no specific wording is published, states the source and license exactly as recorded in Alticarta's own code and dataset. Nothing here is invented.

---

Elevation Data

• USGS 3DEP (United States): U.S. Geological Survey 3D Elevation Program. A work of the U.S. federal government; public domain.

• swissALTI3D (Switzerland & Liechtenstein): swisstopo, the Swiss Federal Office of Topography, via the Open Government Data terms on data.geo.admin.ch. Required attribution: "© swisstopo".

• AWS Terrain Tiles (global baseline): hosted by Amazon Web Services, built by the Tilezen / Joerd project from multiple national elevation datasets. Per the project's own published attribution requirements (github.com/tilezen/joerd/blob/master/docs/attribution.md), the source datasets and their required credit lines are:
  • ArcticDEM: "DEM(s) were created from DigitalGlobe, Inc., imagery and funded under National Science Foundation awards 1043681, 1559691, and 1542736"
  • Australia: "© Commonwealth of Australia (Geoscience Australia) 2017"
  • Austria: "© offene Daten Österreichs – Digitales Geländemodell (DGM) Österreich"
  • Canada: "Contains information licensed under the Open Government Licence – Canada"
  • Europe (EU-DEM): "Produced using Copernicus data and information funded by the European Union - EU-DEM layers"
  • Global (ETOPO1): "U.S. National Oceanic and Atmospheric Administration"
  • Mexico: "Source: INEGI, Continental relief, 2016"
  • New Zealand: "Copyright 2011 Crown copyright (c) Land Information New Zealand and the New Zealand Government"
  • Norway: "© Kartverket"
  • United Kingdom: "© Environment Agency copyright and/or database right 2015. All rights reserved"
  • United States (3DEP, GMTED2010, SRTM): "Courtesy of the U.S. Geological Survey"

• OpenTopoData (SRTM / ASTER, global fallback): public SRTM and ASTER GDEM elevation data served via the OpenTopoData API.

• GEBCO_2026 Grid (global, land and ocean; global-grid box builds). GEBCO (General Bathymetric Chart of the Oceans) Bathymetric Compilation Group. Public domain, attribution required, per GEBCO's own terms of use (gebco.net/data-products/gridded-bathymetry/terms-of-use). Required attribution: "GEBCO Bathymetric Compilation Group 2026 (2026). The GEBCO_2026 Grid - a continuous terrain model for oceans and land at 15 arc-second intervals. doi:10.5285/4f68d5c7-45eb-f999-e063-7086abc036fa." The GEBCO Grid should not be used for navigation or for any other purpose involving safety at sea. Every seafloor box also states how much of its seafloor was directly measured and how much is predicted or interpolated, from the GEBCO_2026 type identifier (TID) grid, which is published under the same dataset citation (Seabed 2030 Global Center, 2026-09-28); the 2026 TID is always paired with the 2026 grid.

• Hall (2002) (the Caspian Sea, inside the GEBCO_2026 Grid): the Caspian's depths in the GEBCO grid come from one compilation, credited on every box that covers the Caspian: Hall, J K (2002), Bathymetric compilations of the seas around Israel I: The Caspian and Black Seas, Geological Survey of Israel, Current Research Vol. 13. (Source: Seabed 2030 Global Center, 2026-09-28. The same source notes the Aral Sea has no direct depth observations; GEBCO_2026 holds the Aral basin as land, and Alticarta labels the Aral Sea "Former seabed · now land".) Where a pre-generated grid like this one makes up the largest share of a box's seafloor, the box is labelled COMPILED.

Planetary Elevation Data

A box built on another world uses one elevation model for that world. The global models of the Moon, Mars, Mercury, Ceres, Pluto, Charon and Venus are hosted for Alticarta from the USGS Astrogeology Science Center's Astropedia. Each of those entries quotes the access and use constraints exactly as the dataset's own FGDC metadata record states them, and cites the dataset the way that record identifies it (origin, date, title, edition, publisher). Six of the seven ask that the authors be cited. Saturn's moons Mimas, Tethys, Dione, Rhea and Phoebe come from shape models archived at the PDS Small Bodies Node under Creative Commons Zero, cited with their DOIs as the archive asks; Jupiter's moons Ganymede, Callisto and Europa from regional models published under CC BY 4.0, which requires this credit. Every LICENSE built on a world carries the same citation as its entry here.

• Moon: Moon LRO LOLA DEM 118m, from the Lunar Reconnaissance Orbiter laser altimeter. Access constraints: "public domain". Use constraints: "Please cite authors". Cite as: "Goddard Space Flight Center (2014-03-11). Moon LRO LOLA DEM 118m, edition March 11, 2014. USGS Astrogeology Science Center, Flagstaff, AZ." Heights are distance above or below a sphere of radius 1,737,400 m. Record: USGS record

• Mars: Mars MGS MOLA DEM 463m, from the Mars Global Surveyor laser altimeter. Access constraints: "CC0 (public domain)". Use constraints: "None". The record carries no publication date; the edition date stands. Cite as: "Goddard Space Flight Center. Mars MGS MOLA DEM 463m, edition 2003-03-21. USGS Astrogeology Science Center, Flagstaff, AZ." Heights are relative to the Mars areoid. Record: USGS record

• Mercury: Mercury MESSENGER Global DEM 665m, version 2, derived from MESSENGER stereo imaging; the far south and the poles are interpolated, not measured. Access constraints: "None". Use constraints: "Please cite authors". Cite as: "Kris Becker,NASA,Arizona State University,Johns Hopkins Applied Physics Laboratory,Carnegie Institution for Science (2016-10-21). Mercury MESSENGER Global DEM 665m, edition V02. USGS Astrogeology Science Center, Flagstaff, AZ." Heights are distance above or below a sphere of radius 2,439,400 m. Record: USGS record

• Ceres: Ceres Dawn FC2 HAMO Global DTM 137m, derived from Dawn Framing Camera stereo imaging by the German Aerospace Center (DLR) for the Dawn Team; the poles are interpolated. Access constraints: "None". Use constraints: "Please cite authors". Cite as: "Dawn Team (2016-08-19). Ceres Dawn FC2 HAMO Global DTM 137m, edition 1.0. USGS Astrogeology Science Center, Flagstaff, AZ." Alticarta prints heights relative to the Dawn shape model's biaxial ellipsoid (482.10 x 445.94 km, NAIF dawn_ceres_v06.tpc), computed from the DTM's height above its 470,000 m reference sphere. Record: USGS record

• Pluto: Pluto New Horizons LORRI - MVIC Global DEM 300m, derived from New Horizons stereo imaging in its single 2015 flyby. New Horizons mapped 46.4% of Pluto, the encounter hemisphere; the rest of the grid holds no data. Alticarta builds only from measured data: unmapped areas are cut away or left flat, and gaps under 1 mm² are filled from the nearest measurement. Access constraints: "None". Use constraints: "Please cite authors". Cite as: "NASA,Johns Hopkins University Applied Physics Laboratory,Southwest Research Institute,Lunar and Planetary Institute (2017-07-14). Pluto New Horizons LORRI - MVIC Global DEM 300m, edition 2017-03-28T13:28:24. USGS Astrogeology Science Center, Flagstaff, AZ." Heights are distance above or below a sphere of radius 1,188,300 m. Record: USGS record

• Charon: Charon New Horizons LORRI MVIC Global DEM 300m, derived from New Horizons stereo imaging in its single 2015 flyby. New Horizons mapped 44% of Charon's surface, the encounter hemisphere; the rest of the grid holds no data. Alticarta builds only from measured data: unmapped areas are cut away or left flat, and gaps under 1 mm² are filled from the nearest measurement. Access constraints: "None". Use constraints: "Please cite authors". Cite as: "NASA,Johns Hopkins University Applied Physics Laboratory,Southwest Research Institute,Lunar and Planetary Institute (2017-07-14). Charon New Horizons LORRI MVIC Global DEM 300m, edition 2016-12-12T15:42:39. USGS Astrogeology Science Center, Flagstaff, AZ." Heights are distance above or below a sphere of radius 606,000 m. Record: USGS record

• Venus: Venus Magellan Global Topography 4641m, from the Magellan spacecraft's radar altimeter (Global Topographic Data Record, version 2, 1997 release). The poles and the gaps between orbits hold no data. Alticarta builds only from measured data: unmapped areas are cut away or left flat, and gaps under 1 mm² are filled from the nearest measurement. Access constraints: "public domain". Use constraints: "Please cite authors". Cite as: "Peter Ford,Gordon Pettengill,Fang Liu,Joan Quigley (1997-12-18). Venus Magellan Global Topography 4641m, edition 2. USGS Astrogeology Science Center, Flagstaff, AZ." Heights are planetary radius above or below a sphere of radius 6,051,000 m. Record: USGS record

• Mimas: Mimas SPC Shape Model and Assessment Products Bundle V1.0, a global model from Cassini images by stereophotoclinometry, archived at the PDS Small Bodies Node. License: Creative Commons Zero v1.0 Universal (its DataCite record; confirmed in writing by PDS SBN, 2026-10-07). Cite as: "Weirich, J.R., Gaskell, R., Palmer, E.E, Domingue, D.L. 2025. Mimas SPC Shape Models and Assessment Products V1.0. urn:nasa:pds:satellite-mimas.cassini.shape-models-maps::1.0. NASA Planetary Data System. https://doi.org/10.26033/y8wv-r303." Alticarta prints heights relative to the triaxial ellipsoid 207.8 x 196.7 x 190.6 km (NAIF pck00011), computed from the model's planetary radius.

• Tethys: Tethys SPC Shape Model and Assessment Products Bundle V1.0, global models from Cassini images by stereophotoclinometry, archived at the PDS Small Bodies Node. License: Creative Commons Zero v1.0 Universal (its DataCite record; confirmed in writing by PDS SBN, 2026-10-07). Cite as: "Weirich, J.R., Gaskell, R., Palmer, E.E, Domingue, D.L. 2025. Tethys SPC Shape Models and Assessment Products V1.0. urn:nasa:pds:satellite-tethys.cassini.shape-models-maps::1.0. NASA Planetary Data System. https://doi.org/10.26033/hpv0-eh61." Alticarta prints heights relative to the triaxial ellipsoid 538.4 x 528.3 x 526.3 km (NAIF pck00011), computed from the model's planetary radius.

• Dione: Dione SPC Shape Model and Assessment Products Bundle V1.0, global models from Cassini images by stereophotoclinometry, archived at the PDS Small Bodies Node. License: Creative Commons Zero v1.0 Universal (its DataCite record; confirmed in writing by PDS SBN, 2026-10-07). Cite as: "Weirich, J.R., Gaskell, R., Palmer, E.E, Domingue, D.L. 2025. Dione SPC Shape Models and Assessment Products V1.0. urn:nasa:pds:satellite-dione.cassini.shape-models-maps::1.0. NASA Planetary Data System. https://doi.org/10.26033/bxx6-g543." Alticarta prints heights relative to the triaxial ellipsoid 563.4 x 561.3 x 559.6 km (NAIF pck00011), computed from the model's planetary radius.

• Rhea: Rhea SPC Shape Model and Assessment Products Bundle V1.0, a global model from Cassini images by stereophotoclinometry, archived at the PDS Small Bodies Node. License: Creative Commons Zero v1.0 Universal (its DataCite record; confirmed in writing by PDS SBN, 2026-10-07). Cite as: "Weirich, J.R., Gaskell, R., Palmer, E.E, Domingue, D.L. 2025. Rhea SPC Shape Models and Assessment Products V1.0. urn:nasa:pds:satellite-rhea.cassini.shape-models-maps::1.0. NASA Planetary Data System. https://doi.org/10.26033/tqxb-q714." Alticarta prints heights relative to the triaxial ellipsoid 765.0 x 763.1 x 762.4 km (NAIF pck00011), computed from the model's planetary radius.

• Phoebe: Phoebe SPC Shape Model and Assessment Products Bundle V1.0, a global model from Cassini images by stereophotoclinometry, archived at the PDS Small Bodies Node. License: Creative Commons Zero v1.0 Universal (its DataCite record; confirmed in writing by PDS SBN, 2026-10-07). Cite as: "Weirich, J.R; Gaskell, R.; Palmer, E.E; Domingue, D.L.; Hare, T.M.(2023). Phoebe SPC Shape Model and Assessment Products Bundle V1.0. urn:nasa:pds:satellite-phoebe.cassini.shape-models-maps::1.0. NASA Planetary Data System. https://doi.org/10.26033/3k3c-5713." Alticarta prints heights relative to an ellipsoid of 108.95 x 108.95 x 101.8 km (NAIF pck00011 radii, equatorial pair averaged), computed from the model's planetary radius.

• Ganymede: digital elevation models of 11 regions around large impact features, derived from Galileo images by stereophotogrammetry and photoclinometry by Oliver White and Paul Schenk. They cover about 6% of the surface. Alticarta builds only from measured data: unmapped areas are cut away or left flat, and gaps under 1 mm² are filled from the nearest measurement. © 2025 Oliver White and Paul Schenk. All rights reserved. This data is licensed under the CC BY 4.0 license. You may obtain a copy of the License at https://creativecommons.org/licenses/by/4.0/. The data can be accessed here: https://doi.org/10.6084/m9.figshare.25199435Modified by Alticarta: resampled and shaped into a 3D model for printing and carving.

• Callisto: digital elevation models of the regions around the craters Doh, Har and Tindr, derived from Galileo images by stereophotogrammetry and photoclinometry by Oliver White and Paul Schenk. They cover about 0.1% of the surface. Alticarta builds only from measured data: unmapped areas are cut away or left flat, and gaps under 1 mm² are filled from the nearest measurement. © 2025 Oliver White and Paul Schenk. All rights reserved. This data is licensed under the CC BY 4.0 license. You may obtain a copy of the License at https://creativecommons.org/licenses/by/4.0/. The data can be accessed here: https://doi.org/10.6084/m9.figshare.25199435Modified by Alticarta: resampled and shaped into a 3D model for printing and carving.

• Europa: regional digital terrain models from Galileo stereo images. They cover about 0.8% of the surface. Alticarta builds only from measured data: unmapped areas are cut away or left flat, and gaps under 1 mm² are filled from the nearest measurement. License for both sets: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Alticarta reprojected the models to geographic degrees, resampled them onto one global grid and rounded heights to whole metres. Cite as: "Giese, Bernd; Steinbruegge, Gregor; Stark, Alexander; Hussmann, Hauke; Voigt, Joana (2020). Digital Terrain Models of Europa from Galileo stereo images. Mendeley Data, V1. https://doi.org/10.17632/fdzhc3wywr.1" and "Matteoni, Pietro; Chiarolanza, Gianluca (2024). Replication data for: Topographical analysis of Libya Linea on Europa. Freie Universitaet Berlin. https://doi.org/10.17169/refubium-42039"

Planetary Feature Names

• IAU Gazetteer of Planetary Nomenclature: the names, types, centers and diameters of surface features on the Moon, Mars, Mercury, Ceres, Pluto, Charon, Venus, Mimas, Tethys, Dione, Rhea, Phoebe, Ganymede, Callisto and Europa, maintained by the USGS Astrogeology Science Center on behalf of the International Astronomical Union Working Group for Planetary System Nomenclature (https://planetarynames.wr.usgs.gov/). The provider's FAQ (https://planetarynames.wr.usgs.gov/Page/FAQ) states: "Everything in the Gazetteer of Planetary Nomenclature is in the public domain." and offers this citation: International Astronomical Union Working Group for Planetary System Nomenclature. "Gazetteer of Planetary Nomenclature." (access date). http://planetarynames.wr.usgs.gov/. Each downloaded shapefile's own FGDC metadata states "Public domain." Every LICENSE built from a named feature carries this citation with the date Alticarta accessed the gazetteer.

Undersea Feature Names and Seas

Ocean pieces are found by name. The names, their types and the outlines a box is framed from come from three gazetteers; where they overlap, GEBCO's name is used, and every gazetteer that lists the feature is credited on the LICENSE built from it.

• GEBCO Gazetteer of Undersea Feature Names: the names, types, points and (for about half) the lines and outlines of 5,311 undersea features, from the GEBCO Sub-Committee on Undersea Feature Names, hosted by the IHO Data Center for Digital Bathymetry at NOAA NCEI. Used under the same terms as the GEBCO Grid (NOAA NCEI, 2026-09-28). Citation, as the provider asks: "IHO-IOC GEBCO Gazetteer of Undersea Feature Names, www.gebco.net"; in full: International Hydrographic Organization-Intergovernmental Oceanographic Commission (IHO-IOC) GEBCO Sub-Committee on Undersea Feature Names. (2026). GEBCO Gazetteer of Undersea Feature Names. Retrieved from GEBCO.

• Marine Regions gazetteer: undersea feature names gathered from the national naming authorities (the US Advisory Committee on Undersea Features, the Canadian Geographical Names Database, the New Zealand Gazetteer, the SCAR Composite Gazetteer and others), and named seas, by the Flanders Marine Institute (VLIZ). License: CC BY 4.0. Cite as: "Flanders Marine Institute (2026): MarineRegions.org. Available online at www.marineregions.org."

• Global Oceans and Seas, version 1: the boundaries of the ten main oceans and seas, used to name the ocean or sea a point lies in. Flanders Marine Institute (2021). Global Oceans and Seas, version 1. Available online at https://www.marineregions.org/. https://doi.org/10.14284/542. License: CC BY 4.0.

• GeoNames also supplies undersea feature names (its feature class U), the named seas and oceans, and the Caspian and Aral seas; see its entry under Boundary & Water Data below.

Landform Names and Locations

• Wikidata: the names (in every language), types and locations of the famous landforms listed first in Mountains search, and the point a model built from one of them is centred on. Snapshot of 2026-10-06, read from the Wikidata Query Service (https://query.wikidata.org/). Wikidata's own licensing page (wikidata.org/wiki/Wikidata:Licensing) states: "All structured data (i.e. the main, Property, Lexeme, and EntitySchema namespaces) is released into the public domain under Creative Commons Zero." Crediting is not required; credited here anyway so the provenance chain stays complete. A model built from one of these landforms names its Wikidata record in its LICENSE.

Boundary & Water Data

• Natural Earth: public domain vector map data, used for country and continent boundaries, and for the admin-1 states/provinces layer (`ne_10m_admin_1_states_provinces`) that fills in a state or province for a modeled lake (see Lake Bathymetry below) when no other source places one, and for the country or continent pre-filled on the second line of an embossed label. Natural Earth's own terms of use (naturalearthdata.com/about/terms-of-use/) state: "All versions of Natural Earth raster + vector map data found on this website are in the public domain... No permission is needed to use Natural Earth. Crediting the authors is unnecessary." Credited here anyway so the provenance chain stays complete.

• GeoNames: geographical database used to attach a state/province to a modeled lake and, for modeled lakes that had no name of their own, the lake's name (taken from a GeoNames place name inside the lake's outline); and for undersea feature names, named seas and oceans, and the Caspian and Aral seas (see Undersea Feature Names and Seas above). License: CC BY 4.0 (creativecommons.org/licenses/by/4.0/). GeoNames' own attribution wording: "a link or another reference to GeoNames."

• Canadian Geographical Names Database (CGNDB): the points of named capes, points and islands in Canada that end the closing lines separating Georgian Bay and the North Channel from Lake Huron (see Lake Bathymetry below), read from geogratis.gc.ca/services/geoname/en/geonames on 2026-10-16. License: Open Government Licence - Canada, version 2.0 (open.canada.ca/en/open-government-licence-canada), which grants "a worldwide, royalty-free, perpetual, non-exclusive licence to use the Information, including for commercial purposes". Attribution: "Contains information licensed under the Open Government Licence – Canada."

• Geographic Names Information System (GNIS): the points of named points, islands and places in the United States that end the closing lines separating Saginaw Bay, Green Bay and the North Channel from their lakes, read from the U.S. Geological Survey's geographic names service (carto.nationalmap.gov/arcgis/rest/services/geonames/MapServer) on 2026-10-16. A work of the U.S. federal government; public domain. USGS's own policy (https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits): "USGS-authored or produced data and information are considered to be in the U.S. Public Domain." and "When using information from USGS information products, publications, or websites, we ask that proper credit be given."

• OpenStreetMap: used for place-name search and administrative-boundary resolution (via the Nominatim service) and for water body geometry (via the Overpass API), and for the river lines drawn in the Water filament on painted color models (OpenStreetMap waterway lines). OpenStreetMap data is © OpenStreetMap contributors and is available under the Open Database License (ODbL). See openstreetmap.org/copyright for the full terms.

Land Cover

• ESA WorldCover (global, 10 m, 2021, version 200): the land cover that paints forest, fields, bare rock, snow, built-up land, wetland and water on painted color models made with Land cover. License: Creative Commons Attribution 4.0 International (creativecommons.org/licenses/by/4.0/). Required attribution, quoted from the License and Citation sections of ESA's own data access page (esa-worldcover.org/en/data-access): "© ESA WorldCover project 2021 / Contains modified Copernicus Sentinel data (2021) processed by ESA WorldCover consortium". Modified: the classes are grouped into filament colors and resampled to the model. Data: Zanaga, D. et al., 2022. ESA WorldCover 10 m 2021 v200. https://doi.org/10.5281/zenodo.7254221

Satellite Photo Color

Painted color models made with Satellite photo take their filament colors from these two satellite pictures together. A download's LICENSE names both.

• EOxCloudless 2016 (global, 10 m): the picture satellite photo color is painted from, at every scale. Credit, in EOX's own words: "EOxCloudless https://cloudless.eox.at by EOX IT Services GmbH (Contains modified Copernicus Sentinel data 2016 & 2017)". License: Creative Commons Attribution 4.0 International (creativecommons.org/licenses/by/4.0/). Modified: resampled to the model, any cloud and haze filled from the picture below, its swath tones matched along the satellite tracks on large places, and reduced to filament colors.
• ESA WorldCover Sentinel-2 composite (global, 10 m, 2021, the median L2A RGBNIR composite made by the ESA WorldCover project): where EOxCloudless 2016 shows cloud or haze, this picture, tone-matched to EOxCloudless, fills it; on large places it also evens out the tone of EOxCloudless's satellite swaths. It is the whole picture when EOxCloudless cannot be read. License: Creative Commons Attribution 4.0 International (creativecommons.org/licenses/by/4.0/). Required attribution: "© ESA WorldCover project 2021 / Contains modified Copernicus Sentinel data (2021) processed by ESA WorldCover consortium". Modified: resampled to the model, gaps filled, tone-matched and reduced to filament colors. esa-worldcover.org

Lake Bathymetry

Alticarta's lake bathymetry dataset combines 28 sources. Every download that uses a lake carries the applicable credit below in its LICENSE file; this list gathers all 28 in one place regardless of tier or which lake was built.

• Alberta, Canada: Alberta Geological Survey. License: AGS disclaimer only; no specific attribution wording published.
• British Columbia, Canada (Garibaldi Lake): Province of British Columbia, Fish and Game Branch, Department of Recreation and Conservation, "Garibaldi Lake" bathymetric map, October 1949, from Bathymetric Maps - Open (https://catalogue.data.gov.bc.ca/dataset/1427d389-cd21-4fe2-8ed9-282d9bdcb7e2). License: Open Government Licence - British Columbia, version 2.0 (https://www2.gov.bc.ca/gov/content/data/policy-standards/data-policies/open-data/open-government-licence-bc), which grants "a worldwide, royalty-free, perpetual, non-exclusive licence to use the Information, including for commercial purposes". Attribution: "Contains information licensed under the Open Government Licence - British Columbia." Depth contours (100 ft) and the deepest sounding (849 ft) were traced from the scanned map; the shoreline is the HydroLAKES outline (Messager, M.L., Lehner, B., Grill, G., Nedeva, I., Schmitt, O. (2016), Nature Communications, 7: 13603, https://doi.org/10.1038/ncomms13603, CC BY 4.0).
• Connecticut, USA: Connecticut Department of Energy and Environmental Protection. License: CC0 (public domain); credit carried as courtesy, not required.
• Crater Lake (Oregon) and Lake Tahoe (California and Nevada), USA: U.S. Geological Survey multibeam sonar surveys. License: U.S. Government work, public domain. USGS's own policy (https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits): "USGS-authored or produced data and information are considered to be in the U.S. Public Domain." and "When using information from USGS information products, publications, or websites, we ask that proper credit be given." Sources: Gardner, J.V., and Dartnell, P., 2001, *2000 Multibeam sonar survey of Crater Lake, Oregon: Data, GIS, images, and movies*, U.S. Geological Survey Digital Data Series 72, https://doi.org/10.3133/ds72; Gardner, J.V., and Dartnell, P., 1999, *Sea-floor images and data from multibeam surveys in San Francisco Bay, Southern California, Hawaii, the Gulf of Mexico, and Lake Tahoe, California-Nevada*, U.S. Geological Survey Digital Data Series 55, https://doi.org/10.3133/ds55. Depths are measured below the lake level each survey was published with (Crater Lake 1,882.6 m, Lake Tahoe 1,899 m). The Lake Tahoe survey covers about 93 percent of the lake; its shoreline is the HydroLAKES outline (Messager, M.L., Lehner, B., Grill, G., Nedeva, I., Schmitt, O. (2016), Nature Communications, 7: 13603, https://doi.org/10.1038/ncomms13603, CC BY 4.0), and the nearshore shelf between that shoreline and the survey edge is filled by interpolation.
• Denmark: NOVANA lake depth survey. License: not stated by the publisher.
• Finland: Suomen ymparistokeskus (SYKE). License: CC BY 4.0. Attribution: "Depth data (c) Suomen ymparistokeskus (SYKE), CC BY 4.0."
• Global (modeled): GLOBathy and HydroLAKES. License: CC0 (GLOBathy); CC BY 4.0 (HydroLAKES). Attribution: "Modeled bathymetry derived from GLOBathy (Khazaei et al. 2022, CC0) and HydroLAKES (CC BY 4.0). ESTIMATED, NOT SURVEYED." The name of a modeled lake that had none, and the state or province shown for a modeled lake where GLOBathy's own record does not already place one, come from GeoNames or Natural Earth (see Boundary & Water Data above); a downloaded file's own LICENSE.txt notes when the name came from GeoNames.
• Indiana, USA: Indiana Department of Natural Resources. License: AS-IS, reference purposes only.
• Iowa, USA: Iowa Department of Natural Resources. License: not stated by the publisher.
• Lake Louise (Alberta), Canada: Walter D. Wilcox, "A Certain Type of Lake Formation in the Canadian Rocky Mountains," *The Journal of Geology* 7 (1899): 247-260, Fig. 2, "Outline map of Lake Louise with 25 foot contours based on results of 137 soundings." License: public domain; per the U.S. Copyright Office (Circular 15A, https://www.copyright.gov/circs/circ15a.pdf), "all works published in the United States before January 1, 1931, are in the public domain." Depth contours were traced from the printed map; the shoreline is the HydroLAKES outline (Messager et al. 2016, https://doi.org/10.1038/ncomms13603, CC BY 4.0).
• Manitoba, Canada: University of Manitoba, Centre for Earth Observation Science (CanWIN Data Discovery Portal). License: CC BY 4.0. Attribution: "Contains information from the University of Manitoba, Centre for Earth Observation Science (CEOS), Lake Manitoba / Lake Winnipegosis DEM Bathymetry (digitized from Canadian Hydrographic Service depth points and contours, April 2022), CanWIN Data Discovery Portal, licensed under CC BY 4.0."
• Massachusetts, USA: MassWildlife. License: not stated by the publisher; credit to MassWildlife recorded.
• Michigan, USA: Michigan Department of Natural Resources. License: not stated by the publisher; credit to Michigan DNR recorded.
• Missouri, USA: U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources. License: U.S. federal government work, public domain (17 U.S.C. 105); each release's own FGDC metadata states no access or use constraints. Sources: Huizinga, Rivers and Oyler (2021), *Bathymetric and supporting data for various water supply lakes in northwestern Missouri, 2019 and 2020*, https://doi.org/10.5066/P92M53NJ; Huizinga and Rivers (2023), *Bathymetric and supporting data for various water supply lakes in north-central and west-central Missouri, 2020*, https://doi.org/10.5066/P9BV1H0S; Rivers, Huizinga and Richards (2023), *Bathymetric and supporting data for 12 water supply lakes in northeastern Missouri, 2021*, https://doi.org/10.5066/P9YJJQB4.
• Minnesota, USA: Minnesota Department of Natural Resources. License: Minnesota DNR General Geographic Data License. Attribution: "Bathymetry (c) Minnesota Department of Natural Resources."
• Montana, USA: Montana Fish, Wildlife & Parks. License: the dataset's own FGDC record states Access Constraints: None; Use Constraints is a standard as-is, no-warranty disclaimer. No commercial grant or prohibition is stated either way.
• Nebraska, USA: Nebraska Game and Parks Commission. License: not stated by the publisher; credit to Nebraska Game & Parks Commission recorded.
• New Hampshire, USA: New Hampshire Geodata Portal (EDP). License: not stated by the publisher.
• New Jersey, USA: New Jersey Department of Environmental Protection. License: NJDEP Data Distribution Agreement.
• Great Lakes, USA/Canada: National Geophysical Data Center / NOAA. License: public domain (US federal government work). The Ontario Bathymetry Line layer additionally requires, for its Lake Huron and Lake Ontario portions: "Lake Huron Bathymetry: National Geophysical Data Center, 1999. Bathymetry of Lake Huron. National Geophysical Data Center, NOAA. doi:10.7289/V5G15XS5" and "Lake Ontario Bathymetry: National Geophysical Data Center, 1999. Bathymetry of Lake Ontario. National Geophysical Data Center, NOAA. doi:10.7289/V56H4FBH."
• Great Salt Lake, Utah, USA: bathymetric DEM compiled by David Tarboton and M. Merck, hosted on CUAHSI HydroShare (resource `582060f00f6b443bb26e896426d9f62a`). License: CC BY 4.0. Cite as: "Tarboton, D., Merck, M. (2026). Great Salt Lake Bathymetry, HydroShare, http://www.hydroshare.org/resource/582060f00f6b443bb26e896426d9f62a." Underlying surveys, per the resource's own README: Baskin, R. L. (2005), "Calculation of Area and Volume for the South Part of Great Salt Lake, Utah," Open-File Report 2005-1327, USGS, http://pubs.water.usgs.gov/ofr20051327; Baskin, R. L. (2006), "Calculation of Area and Volume for the North Part of Great Salt Lake, Utah," Open-File Report 2006-1359, USGS, http://pubs.water.usgs.gov/ofr20061359; Farmington Bay (Baskin, unpublished, 2009, modified by BIO-WEST, Inc., 2010); Bear River Bay (Hansen & Associates, 2009, under contract to BIO-WEST, Inc.); Trapezoid area (BIO-WEST, Inc., May 2011). Modeled at a single reference lake level of 4,200 ft (1,280.16 m, NGVD29); the real lake level varies. See the download LICENSE for the exact wording.
• Norway: Norges vassdrags- og energidirektorat (NVE). License: Norwegian Licence for Open Government Data (NLOD).
• Ontario, Canada: Ontario Ministry of Natural Resources, Land Information Ontario (LIO). License: Open Government Licence – Ontario. Attribution: "Contains information licensed under the Open Government Licence – Ontario."
• Quebec, Canada: Gouvernement du Quebec, Ministere de l'Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs (Geobase des bathymetries de lac du Quebec, GBLQ). License: CC BY 4.0. Attribution: "Contains information from the Gouvernement du Quebec, Ministere de l'Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs, Geobase des bathymetries de lac du Quebec (GBLQ), licensed under CC BY 4.0."
• Texas, USA (reservoirs): Texas Water Development Board (TWDB). Attribution, quoted from TWDB's own published survey reports: "Bathymetric survey data from the Texas Water Development Board (TWDB). Authorization for use or reproduction of any original material contained in this publication, i.e. not obtained from other sources, is freely granted. The Texas Water Development Board would appreciate acknowledgement."
• Washington, USA (not currently offered): US Geological Survey; Washington State Department of Fish and Wildlife; Washington State Department of Ecology, and King County. License: Ecology's own copyright page states commercial and political use of Ecology material is specifically prohibited, with no located carve-out for this layer. This source is withheld from search, generation and download pending permission.
• West Virginia, USA: West Virginia Department of Natural Resources. License: not stated by the publisher.
• Winnipeg, Canada: Environment and Climate Change Canada, via University of Manitoba CanWIN Data Discovery Portal. License: Open Government Licence – Canada. Attribution: "Contains information licensed under the Open Government Licence - Canada. Bathymetric data: Ram Yerubandi (2016), Environment Canada, via University of Manitoba CanWIN Data Discovery Portal."

Embossing Fonts

The raised lettering on a framed model is cut from one of these fonts, each used exactly as Google Fonts distributes it. All are published under the SIL Open Font License, Version 1.1 (openfontlicense.org); each font's own license file is kept beside it in Alticarta's source. No font file is included in a downloaded model: the letters are converted to solid geometry.

• Montserrat Bold: Copyright 2024 The Montserrat.Git Project Authors (https://github.com/JulietaUla/Montserrat.git). License: SIL Open Font License 1.1. Specimen: fonts.google.com/specimen/Montserrat
• Oswald Bold: Copyright 2016 The Oswald Project Authors (https://github.com/googlefonts/OswaldFont). License: SIL Open Font License 1.1. Specimen: fonts.google.com/specimen/Oswald
• Josefin Sans Bold: Copyright 2010 The Josefin Sans Project Authors (https://github.com/ThomasJockin/JosefinSansFont-master), with Reserved Font Name "Josefin Sans". License: SIL Open Font License 1.1. Specimen: fonts.google.com/specimen/Josefin+Sans
• Lato Bold: Copyright (c) 2010-2014 by tyPoland Lukasz Dziedzic (team@latofonts.com) with Reserved Font Name "Lato". License: SIL Open Font License 1.1. Specimen: fonts.google.com/specimen/Lato
• Nunito Bold: Copyright 2014 The Nunito Project Authors (https://github.com/googlefonts/nunito). License: SIL Open Font License 1.1. Specimen: fonts.google.com/specimen/Nunito
• Pacifico Regular: Copyright 2018 The Pacifico Project Authors (https://github.com/googlefonts/Pacifico). License: SIL Open Font License 1.1. Specimen: fonts.google.com/specimen/Pacifico

---

Questions about any of the data used on this site: aaron@alticarta.com.