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1,219 results for “Sand”
Hoofprints in the Sand Graphics: Figs. 1-11
<p>Figure 1. Map of sites included in the LSI analysis. </p> <p>Figure 2. Landmark (red) and SSLM (blue) configuration used in the GMM study, after Pöllath et al.( 2019).</p> <p>Figure 3. LSI values for length (left) and width (right) grouped by zone (Coast/Inland) and subset into era (Bronze Age/Iron Age).</p> <p>Figure 4. Distributions of LSI length values per site and period. Sample size is represented on the y-axis, and LSI values are represented on the x-axis. Vertical black dashed line and text within the facets represent mean values.</p> <p>Figure 5. Distributions of LSI width values per site and period. Sample size is represented on the y-axis, and LSI values are represented on the x-axis. Vertical black dashed line and text within the facets represent mean values.</p> <p>Figure 6. A scatter diagram of the two ADI indexes, Bd/Dl and Dl/GLl, formulated from linear measurements taken on the N=130 astragali included in the GMM analysis, modified after Davis (2017a: 65, fig. 9.3) (used with permission).</p> <p>Figure 7. Results of the log-transformed centroid size analysis. The median size of astragali increases in the Persian period in Tell Keisan.</p> <p>Figure 8. Biplot of the first two principal components, points are color-coded by context and sized according to log centroid size value. Thin plate spline (TPS) warp grids visualize morphological change between the minimum and maximum shapes along PC1 (x-axis) and PC2 (y-axis).</p> <p>Figure 9. Boxplots depicting the range of variation along PC1 (left) and PC2 (right).</p> <p>Figure 10. 10-PC’s shape space volume occupied by the specimens from each context.</p> <p>Figure 11. A: Outlier specimen from Persian period Tell Keisan (Cat. #588). B: Modern sheep (O. aries) comparative specimen from Israel (Cat. #596).</p>
Portable-XRF data of coastal sand for the Ria de Vigo (Spain): March/September 2023
<p>Document compiling the X-Ray Fluorescence results, done on a Bruker S1 Titan X-Ray Fluorescence Analyser, of samples collected in the Ria de Vigo, in March and September 2023, on GEOexploration mode, with a 90-second beam. The multi-element average values of the tree analyses were calculated.</p>
Hoofprints in the Sand Supplement S3: ADI Datasheet
<p>Datasheet: Provenience, dating, measurements (mm), astragalar index values, and catalogue numbers for the sheep astragali used in the ADI analyses (.csv file)</p>
Supplementary data for the journal article "Quantifying the impact of 3D pore space morphology on diffusive mass transport in loam and sand"
<p>Binarized cutouts (black=pore, white=soil) of 3D CT images of soil samples from loam and sand together with geometrical descriptors and diffusive properties computed on these cutouts. The geometrical descriptors include, among others, porosity, specific surface area, geodesic tortuosity, geometric tortuosity, constrictivity, mean chord length and mean of spherical contact distribution. Diffusion is quantified by the so-called M-factor which equals the ratio of the effective and intrinsic diffusivity.</p> <p>This data supplements the journal article "Quantifying the impact of 3D pore space morphology on diffusive mass transport in loam and sand". Additional information can be found there.</p>
Spatial data sets of the paper Heinrich Stadial 1 continental sand dunes and Middle to Late Holocene paleosol sequences in SE Iberia: implications for human occupation and site formation processes
<p>Spatial data sets of the paper Heinrich Stadial 1 continental sand dunes and Middle to Late Holocene paleosol sequences in SE Iberia: implications for human occupation and site formation processes. This data set is composed by 3 shapefiles:</p> <ol> <li>Dune_field: Feature class polygon shapefile geometry representing the individual dunes identified in the Villena dune field.</li> <li>Sampled dunes: Shapefile of point geometry representing the location of the stratigraphic sequences of CC1, CC2 and CC3 sampled for texture, soil chemistry, OSL and radiocarbon dating. </li> <li>Sediment sourcing samples: Shapefile of point geometry representing the location of the reference samples of El Moron, El Arenal de la Virgen and Sierra del Castellar. </li> </ol> <p>The spatial reference system is EPSG 25830.</p>
High-resolution spatiotemporal modelling of sand fly abundance in Cyprus in 2015
<p>The expected population size of <em>P. papatasi</em> in Cyprus in 2015 was simulated using the stochastic climate-driven population dynamics model of the species presented in Erguler <em>et al.</em> (2019). The model was simulated with air temperature and relative humidity obtained from WRF-ARW. Two sets of parameters, one for Steni and one for Geri - each with 1000 alternative configurations - were used to simulate the average number of adult females per day per trap (a proxy to expected population size).</p>
Atlantic sand fiddler differences in antimony, running velocity, and behavior, Sapelo Island, Georgia: 2021
Running velocities and behavior assay data of 42 crabs (21 male and 21 female) from Sapelo Island, Georgia. Each crab had three run trials and four for the behavior assay. Crabs were run on a 1m track and behavior assays timed how long it took for crabs to reemerge from burrows. These data were used to determine major influences on crab behavior.
Groundwater level data from 2013 to 2015 in Central Sands area, Wisconsin
38 groundwater wells' water level data in Central Sands area, Wisconsin. The Central Sands is an area of the state with a high density of high-capacity wells for irrigation. The Wisconsin Department of Natural Resources (WDNR), UW Extension, and the counties began monitoring shallow groundwater wells near lakes in 2013. The five counties include: Portage, Waupaca, Adams, Waushara, and Marquette. Volunteers were enlisted to monitor lake levels on 38 lakes in the region. Instead of using staff gauges, the team opted to install shallow groundwater wells near the lake shore. This eliminated the need to reinstall and survey staff gauges each season. It was assumed that shallow groundwater wells would be a good approximation of lake levels because the soils are made up of porous, sand material. On a subset of lakes, WDNR collected water level data from the shallow groundwater wells and from staff gauges at the same time. One season of monitoring showed that changes in water levels over time are similar, but the actual elevation of water in the well might be different than the surface of the lake. This data set can be downloaded from WDNR's SWIMS database: https://dnr.wi.gov/topic/surfacewater/swims/
Hobo temperature data from the black sand extended growing season length and ITEX chamber experiment, hourly, 2018 - 2020
Climate warming is accelerating spring snowmelt in Colorado, with pronounced effects in mountain ecosystems. Early snowmelt results in an extended summer that may increase stress for plants, such as water limitation and a higher frequency of frost events. Alternatively, plants that are limited by a short growing season may benefit from longer summers under climate change. To simulate how changes in growing season length and air temperature may affect biotic and abiotic components, we accelerated snowmelt in one plot of each 4 blocks by adding chemically inert black sand, while keeping the second plot as an unmanipulated control (black sand was added to these plots after snow had naturally melted). ITEX warming chambers were added to 3 subplots within each block. This dataset includes measurements of soil surface or subsurface temperature within subplots.
Plant functional traits in the black sand extended growing season experiment, 2023.
Climate change is predicted to affect the alpine at a more rapid rate than other ecosystems. One predicted consequence is earlier snowmelt, which the Niwot Ridge LTER site Black Sand experiment aimed to replicate. Black sand was hand-spread across the early snowmelt treatment to cause a more rapid snowmelt than in the control plots. Sand was still spread across the control plots after snowmelt to control for the effects of the sand on vegetation. Each treatment also contained ITEX chambers which raised the temperature of individual plots. Within this larger experiment, we measured plant functional traits to see if they varied across the four treatments: control, control + ITEX, early snowmelt, and early snowmelt + ITEX.
Root endophyte colonization in the black sand extended growing season experiment for Audubon, Lefty, East Knoll and Trough sites, 2023.
This dataset contains detailed microscopy-based observations of root colonization by three major fungal guilds—arbuscular mycorrhizal fungi (AMF), dark septate endophytes (DSE), and fine root endophytes (FRE)—across multiple alpine plant species sampled from experimental black sand (early snowmelt) plots in the Rocky Mountains. Root samples were collected from plots subjected to different snowmelt timing treatments ("Early" and "Control") using black sand to cause early snowmelt to investigate the effects of phenological shifts in plants on fungal colonization. Each sample includes metadata on collection date, field location, plant species, and staining/scoring logistics, as well as quantified colonization metrics such as hyphae, arbuscules, vesicles, and other fungal structures. This dataset supports ongoing research into how alpine plant–fungal interactions respond to changing environmental conditions and may help identify shifts in mutualistic and non-mutualistic associations under climate-altered snowmelt regimes.
Figure 1 in How extensive is the effect of modern farming on bird communities in a sand dune desert?
Figure 1. Dendrogram of F- and C-transects, using group-average clustering from Bray-Curtis similarities on log-transformed bird abundances. Similarity coefficient in percent.
Figures 19-20. 19 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 1. Two new species of Noctuidae (Lepidoptera, Noctuinae, Agrotini)
Figures 19-20. 19. White dunes habitat of type locality of Euxoa lafontainei and Protogygia whitesandsensis. 20. Distribution map for Euxoa lafontainei and Protogygia whitesandsensis.
Figures 10-12 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 1. Two new species of Noctuidae (Lepidoptera, Noctuinae, Agrotini)
Figures 10-12. Female genitalia of Euxoa species. 10. E. lafontainei paratype. 11. E. simulata. 12. E. medialis.
Figures 7-9 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 1. Two new species of Noctuidae (Lepidoptera, Noctuinae, Agrotini)
Figures 7-9. Male genitalia of Euxoa species: a-valves, b-aedeagus with vesica everted. 7. E. lafontainei paratype. 8. E. simulata. 9. E. medialis.
Figures 1-6 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 1. Two new species of Noctuidae (Lepidoptera, Noctuinae, Agrotini)
Figures 1-6. Adults of Euxoa species. 1. E. lafontainei, male paratype. 2. E. lafontainei, male paratype. 3. E. misturata, male. 4. E. tronellus, female. 5. E. simulata, male. 6. E. medialis, male.
Figures 17-18 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 1. Two new species of Noctuidae (Lepidoptera, Noctuinae, Agrotini)
Figures 17-18. Male genitalia of Protogygia species: a-valves, b-aedeagus with vesica everted. 17. P. whitesandsensis, paratype. 18. P. pectinata.
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Great Sand Dunes GeoTIFF
<p>An elevation model of Great Sand Dunes, Colorado, USA</p> <p>Landform features: active dune field, sand sheet, sabkha</p> <p>Resolution: 3.3 meter, 5,300 x 5,300 height samples</p> <p>File format: GeoTIFF</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Figure 3 in Aspects of natural history in a sand boa, Eryx muelleri (Erycidae) from arid savannahs in Burkina Faso, Togo, and Nigeria (West Africa)
Figure 3. Relationships between (a) Snout-Vent-Length (SLV) and Tail Length (TL), and between (b) SVL and Head Length (HL) in Eryx muelleri. Specimens from Togo, Burkina Faso and Nigeria were pooled.
Figure 1 in Aspects of natural history in a sand boa, Eryx muelleri (Erycidae) from arid savannahs in Burkina Faso, Togo, and Nigeria (West Africa)
Figure 1. (a) Eryx muelleri from Kebbe, north-western Nigeria (Photo: Luca Luiselli); (b) dry savannah habitat of Eryx muelleri in northern Burkina Faso (Photo: Emmanuel Hema).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.