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).

These data were compiled to enable estimation of aeolian dune field sediment budgets calculated using remote sensing methods. The objective of the study was to evaluate sediment budgets calculated for the Lees Ferry dune field in Grand Canyon, Earth as a terrestrial analog for aeolian dune fields in Valles Marineris, Mars. These data represent digital elevation models (DEM) of the topography of the Lees Ferry dune field in February and May, 2019, respectively. These data were collected with an Uncrewed Aerial Vehicle (UAV) remote sensing survey conducted on February 28th and then repeated on May 2nd, 2019. The images acquired with the UAV surveys were processed with photogrammetric modelling to produce the DEMs. These data were collected and processed by Geoff Debenedetto (USGS Arizona Water Science Center) and further processed and analyzed by Joshua Caster and Joel B. Sankey (USGS Southwest Biological Science Center, Grand Canyon Monitoring and Research Center). These data can be used to investigate the topography of, and calculate and evaluate remote sensing sediment budgets of, the Lees Ferry dune field.

About this dataset

Context

The dataset tabulates the Dune Acres population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Dune Acres. The dataset can be utilized to understand the population distribution of Dune Acres by age. For example, using this dataset, we can identify the largest age group in Dune Acres.

Key observations

The largest age group in Dune Acres, IN was for the group of age 70 to 74 years years with a population of 37 (14.98%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Dune Acres, IN was the 35 to 39 years years with a population of 2 (0.81%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Dune Acres is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Dune Acres total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Dune Acres Population by Age. You can refer the same here

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 2713 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.

No description is available. Visit https://dataone.org/datasets/knb-lter-vcr.70.20 for complete metadata about this dataset.

The data set here presented helps to to improve the understanding of dune overwash and breaching processes during storm surges in nearly prototype scale. The experiments were done at the CIEM wave flume at UPC, Barcelona, as part of Hydralab III. The large scale movable-bed hydraulic experiments measure hydrodynamics and sediment processes involved in onshore and offshore sediment transport, dune breaching and overwash.

Due to its size, the data set can not be placed on this repository and will be provided on demand. Please contact with the authors or with the data manager of the CIEM installation.

More information can be found on the published papers:

D'Alessandro, F.; Tomasicchio, R.; Alsina, J.; Caceres, I.; Fortes, C.J.E.M.; Ilic, S.; James, M.; Nagler, L.; Pinheiro, L.V.; Sanchez-Arcilla, A.; Sancho, F.; Shaw, E.; Schüttrumpf, H., 2010. Dune over wash and breaching, Coastlab 2010, Barcelona, Spain.

description: Geophysical Features dataset current as of 2017. The database will consist of shape files and attribute information about coastal dune areas in Michigan.; abstract: Geophysical Features dataset current as of 2017. The database will consist of shape files and attribute information about coastal dune areas in Michigan.

Data are found in Calc Libre Office spreadsheet, which is open source.

A meteorological station equipped with a rain gauge, atmospheric pressure sensor, temperature and relative humidity sensor, soil moisture sensor, and an anemometer (measuring wind speed, gust speed, and direction) was deployed at Grand Falls dune field, Arizona. This dataset has been collecting data every 15 minutes with the goal to provide context for ripple and dune migration at an active dune field site.

This dataset provides information about the number of properties, residents, and average property values for Dune Drive cross streets in Odessa, MO.

1625 Eye Street NW, Suite 300 Washington, DC 20006 T 202-857-0166 | F 202-857-0162 Please send questions or comments to ResilienceData@nfwf.org

Data from: A Lévy expansion strategy optimizes early dune building by beach grasses. Nature CommunicationsHere, we report on the discovery that heavy-tailed random walks underlie the ability of clonally expanding plants to self-organize and dictate the formation of biogeomorphic landscapes. Using cross-Atlantic surveys, we show that congeneric beach grasses adopt distinct heavy-tailed clonal expansion strategies. Next, we demonstrate with a spatially-explicit model and a field experiment that the Lévy-type strategy of the species building the highest dunes worldwide generates a clonal network with a patch shoot organization that optimizes sand trapping efficiency.This dataset contains data of the survey in which we investigated the step size distribution of both beach grasses used in our study (Ammophila arenaria & Ammophila breviligulata). The dataset consists of images, shoot coordinates and distances between shoots (using nearest neighbour methods). In addition we included the data on nutrient levels of both soil and plant tissue taken during the survey. The survey was carried out from April to August 2017 on both the eastern US coast (North Carolina and Virginia) and the Dutch coast (Schiermonnikoog).Next to the survey data we included data of an experiment in which we measured the volume of sand and the sand trapping efficiency of various patterns of dune grass mimics. The experiment was conducted at Schiermonnikoog in the summer of 2016.

Data from: Growth response of dune-building grasses to summer precipitation.In the study, we look at an unresolved link between rainfall and coastal dune development. We found that soil moisture along a Dutch embryo dune to foredune transect was highly dependent on precipitation. Furthermore, the growth response of dune-building traits in Eurpoean marram grass (Ammophila arenaria) and sand couch (Elytrigia juncea) depended on soil moisture. Both plant species play a crucial role for the dune development process.The first dataset contains data from a controlled pot experiment. Pots with marram grass and sand couch have been irrigated at different water levels, and regular weekly intervals. The growth response was measured by counting leaf numbers, shoot numbers, and measuring the maximum plant height. In a second dataset, the biomass was measured at the end of the experiment.Another dataset consits of soil moisture measurements along an embryo dune to foredune transect at Meijendel. Soil moisture dynamics were measured at 4 different depths (5 cm , 20 cm, 35 cm and 50 cm; port 1 corresponds to depth of 5 cm, port 2 - 20 cm and so on). Moreover, we installed a weather station to measure atmospheric conditions (rainfall, temperature...) Date Submitted: 2023-10-12

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.

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.

AbstractMeasuring reproductive barriers between groups of organisms is an effective way to determine the traits and mechanisms that impede gene flow. However, to understand the ecological and evolutionary factors that drive speciation, it is important to distinguish between the barriers that arise early in the speciation process and those that arise after speciation is largely complete. In this paper we comprehensively test for reproductive isolation between recently diverged (< 10,000 years bp) dune and non-dune ecotypes of the prairie sunflower, Helianthus petiolaris. We find reproductive barriers acting at multiple stages of hybridization, including premating, postmating-prezygotic, and postzygotic barriers, despite the recent divergence. Barriers include extrinsic selection against immigrants and hybrids, a shift in pollinator assemblage, and post-pollination assortative mating. Together these data suggest that multiple barriers can be important for reducing gene flow in the earliest stages of speciation. Usage notes2012_RT_PlotsThe number of seedlings that emerged and survived in each subplot of our 2012 reciprocal transplant in which we planted dune, non-dune and hybrid seeds into a site in the dunes and a site in the non-dune habitat (sand sheet) at Great Sand Dunes National Park and Preserve.2012_RT_Plants_fullData (height, day to first flower, number of seeds, etc) for each plant that survived in our 2012 reciprocal transplant2012_RT_AsterData (emergence, survival, number of flowers, number of seeds) for each seed planted in our 2012 reciprocal transplant formatted for an ASTER analysis2012_RT_FT_survivalThe period during which each plant that survived in our 2012 reciprocal transplant flowered (formatted for a survival analysis)2012_Timelapse_FT_numbersThe number of flowers photographed by 8 timelapse cameras (DG4, DG5, Updune, 1363, 2001, NDG2, NDG3, NDG4) each day. Cameras DG4 and DG5 were in the same site, which is called DRT. Cameras NDG2, NDG3 and NDG4 were in the same site, which is called NRT. See Fig S1 for site information.2012_PollinatorsCollection information and (morpho)species identifications for potential pollinators collected at Great Sand Dunes National Park and Preserve2014_PCO_genoytpes_fullThe number of offspring with particular genotypes (NN, NC or CC) that resulted from pollinations with mixtures of dune and non-dune pollen (dune pollen contributes "C" alleles and non-dune pollen contributes "N" alleles)2014_Seed_setThe number of seeds set after pollinating 30 stigmas on dune and non-dune maternal plants with either dune pollen or non-dune pollen2014_PCO_6and12_genotypesThe number of offspring fathered by dune or non-dune pollen after different pollination treatments (1 = dune pollen applied 12 hours before non-dune pollen, 2 = dune pollen applied 6 hours before non-dune pollen, 3 = dune and non-dune pollen applied together, 4 = non-dune pollen applied 6 hours before dune pollen, 5 = non-dune pollen applied 12 hours before dune pollen)2014_GerminationData on whether seeds from crosses made within and between dune and non-dune ecotypes (in the greenhouse in 2014) germinatedHybrid_pollenData on the viability of pollen produced by dune, non-dune and hybrid plants2014_Seed_Size_Common_GardenThe weight of seeds produced by dune and non-dune maternal plants pollinated with dune and non-dune pollen2010_RTThe number of seedlings that emerged in each subplot of our 2010 reciprocal transplant in which we planted dune, non-dune and intermediate (collected at the boundary between dune and non-dune habitat) seeds into a site in the dunes and a site in the non-dune habitat (sand sheet) at Great Sand Dunes National Park and Preserve.2010_RT_longData (emergence, survival, height, number of flowers, head diameter) for each seed planted in our 2010 reciprocal transplant2011_RTThe number of seedlings that emerged in each subplot of our 2011 reciprocal transplant in which we planted dune and non-dune seeds into a site in the dunes and a site in the non-dune habitat (sand sheet) at Great Sand Dunes National Park and Preserve.2011_GerminationData on whether seeds from crosses made within and between dune and non-dune ecotypes (in the field in 2011) and seeds from open pollinated plants germinated2008_PopulationsLatitude and longitude information for each population used in this studyGSD_Barriers_RcodeThe R code used to produce each statistical analysis and figure presented in this manuscript. The code is presented in the same order that the analyses are presented in the manuscript.

Dunes with a high relative topography can often be easily distinguished in high-resolution lidar-based digital elevation models (DEMs). Thus, researchers have begun using relative topography metrics, such as the topographic position index (TPI; Weiss, 2001), to identify ridges and upper slopes for extracting dunes from lidar-based DEMs (Wernette et al., 2016; Halls et al. 2018). DEMs are often used for automated delineations of intertidal and supratidal habitats in coastal applications despite issues related to vertical uncertainty. However, the level of vertical uncertainty from data collected with conventional aerial topographic lidar systems has been found to be as high as 60 cm in densely vegetated emergent wetlands throughout the United States (Medeiros et al., 2015; Buffington et al., 2016; Enwright et al., 2018). This uncertainty can also impact elevations in other habitats such as dunes due to vegetation cover and slope (Su and Bork, 2006). Another challenge when mapping g ...

This dataset contains the information of ant species name, relative abundance, collecting location, time, temperature, humidity, and vegetation structure in the coastal dunes along the northern Gulf of Mexico.

This dataset provides information about the number of properties, residents, and average property values for Dune Lane cross streets in Westhampton Beach, NY.