The Mars Global Digital Dune Database provides a comprehensive and quantitative view of the geographic distribution of dune fields from 65° N to 65° S latitude. The database encompasses ~ 550 dune fields, covering ~ 70,000 km2, with an estimated total volume between 3,600 km3 and 13,400 km3. Over 2300 selected Thermal Emission Imaging System (THEMIS) infrared (IR), THEMIS visible (VIS) and Mars Orbiter Camera Narrow Angle (MOC NA) images were used to build the database and are included in the ArcMap and ArcReader versions of the database. An initial data set of THEMIS band 9 spectral range images covering orbits 816-9601 (spanning 02/2002 - 02/2004 and Ls = 0.085º-358.531º) and comprising more than 30,000 images was chosen as the basis for the construction of the database. This provided ~98% nighttime and ~75% daytime areal coverage of Mars planet-wide. Images containing dunes were identified using THV (Interactive THEMIS IR Viewer written in Research Systems Incorporated's (RSI) IDL® software at the USGS in Flagstaff (www.mars-ice.org)). The 100 m/pixel resolution THEMIS IR images were used to locate potential dune features. The higher resolution THEMIS VIS and MOC NA images were used to assign Earth-based dune classifications (McKee, 1979). Where image quality allowed, slipface measurements based on gross dune morphology were digitized to represent primary wind direction responsible for that morphology. Azimuth values were calculated, from crater centroid to dune centroid, for dune fields located within craters. These indicators of wind direction can be compared to the included NASA/Ames Mars general circulation model (GCM) output (Harberle et al., 1999).

Drop rates and spawn data for Dunewatcher in the Deep Desert area of Dune: Awakening.

These data describe the maximum water depth in each studied coastal dune drainage in each study year. Water depth is used as a proxy for hydroperiod, and is a good indicator of the relative persistence of surface water among sites that can be collected in a single visit.

Drop rates and spawn data for Idaho's Charge in the Deep Desert area of Dune: Awakening.

Drop rates and spawn data for Desert Garb in the Deep Desert area of Dune: Awakening.

Morphologic data of dunes in the World's big rivers. Morphologic descriptors for large dunes include: dune height, dune mean leeside angle, dune maximum leeside angle, dune wavelength, dune flow depth (at the crest), and the fractional height of the maximum slope on the leeside for each dune. Morphologic descriptors for small dunes include: dune height, dune mean leeside angle, dune maximum leeside angle, dune wavelength, and dune flow depth (at the crest).

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Plant Macrofossil. The data include parameters of plant macrofossil (population abundance) with a geographic location of Michigan, United States Of America. The time period coverage is from 1636 to 0 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Comprehensive dataset of 1 Dunes in Turkey as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

It is a comprehensive particle size database of surface sediments from different dune types in the Kubuqi Desert, China41. It consists of 2 data files, Excel DATA 1 and DATA 2, describing the grain size characteristics of surface sediments of different types of dunes in the Kubuqi Desert. DATA 1: Characterization of particle size parameters of surface sediments from dunes in the Kubuqi Desert and database of depositional environments. It specifically contains the following data fields: Sheet 1: Basic information about the sample collection, including where the sample was collected (latitude and longitude), when it was collected, and an explanation of the acronyms for the different dune types. Sheet 2: (1) the name of the sample site; (2) the type of dune in the area where the sample is located; (3) the grain size corresponding to the cumulative percentage of sediment (μm); (4) the grain size corresponding to the cumulative percentage of sediment (mm); (5) the grain size corresponding to the cumulative percentage of transformed sediment (φ); (6) the four grain size parameters of the sediment; (7) the depositional environment of the sediment. This file provides the basic sediment composition data of different dunes and does the discrimination of the depositional environment. DATA 2: Database of particle size parameter characteristics and composition of surface sediments of different types of dunes in the Kubuqi Desert. This file is subdivided into seven groups according to the type of dune, named by the abbreviation of the name of the dune type, and specifically contains the following data fields: (1) the number of the sample; (2) the type of dune; (3) the particle size parameters, including the mean particle size, sorting, skewness, and kurtosis; and (4) the percentage of the composition of the components of the sample. These metrics provide a measure of the internal composition of different types of dunes and potential modes of sand transport.

Comprehensive dataset of 2 Dunes in China as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Drop rates and spawn data for Feyd's Drinker in the Deep Desert area of Dune: Awakening.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Plant Macrofossil. The data include parameters of plant macrofossil (population abundance) with a geographic location of Michigan, United States Of America. The time period coverage is from 4846 to 0 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Comprehensive dataset of 5 Dunes in United Kingdom as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Plant Macrofossil. The data include parameters of plant macrofossil (population abundance) with a geographic location of Michigan, United States Of America. The time period coverage is from 3939 to 0 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Comprehensive dataset of 30 Dunes in Peru as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Purpose of the Dataset

      These data were gathered as the foundation for a geomorphometric study of barchan dunes. The intent is for the data to be used in bulk (for the law of large numbers) because of randomly distributed measurement errors (see error analysis section in the BarchanDataDescription.docx file). Data for individual dunes should be used with caution. More details are provided in the BarchanDataDescription.docx file.

Dataset heading

For the BarchanDunes-GeomorphometricData.xlsx file, Column A, name and/or country of dune field; Column B, sample (dune) number (ED and MD refer to Earth dune and Mars dune); W1 and W2 are body width and horn-to-horn width; L1 and L2 are body length and total length; H1 and H2 are the horn lengths; and latitude and longitude are in decimal degrees. Negative values for latitude and longitude represent coordinates in the southern or western hemispheres, respectfully.

Digital Surface Model (DSM) of the Garopaba Dune Field (Siriú dunes), Santa Catarina State, southern Brazil. The objective of the survey is to generate a high-resolution DSM of the dunes and compare it with Airborne LiDAR data collected in 2010 (https://doi.org/10.5069/G9DN430Z, dataset OT.032013.32722.1), to evaluate dune migration and sand volume change. Data were collected by a team from University of São Paulo (USP) composed of: Grohmann, C.H., Garcia, G.P.B., Affonso, A.A., Albuquerque, R.W., within the scope of research grant FAPESP #2016/06628-0 "Application of high-resolution digital elevation models in geology and geomorphology" (PI: Carlos H. Grohmann, IEE-USP).

Comprehensive dataset of 16 Dunes in Belgium as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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Comprehensive dataset of 1 Dunes in Russia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.