Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,219
datasets available to search
ShareScore release 0.9.0
Dataset results
1,219 results for “Sand”
Data from a tidal cycle continuous survey using ADCP and CTD in Sand Shoal Inlet, Virginia
<p><strong>Title: </strong>Data from a tidal cycle continuous survey using ADCP and CTD in Sand Shoal Inlet, Virginia.</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator: </strong>Chunyan Li (cli@lsu.edu)</p> <p>These are data files from a 12.5-hour continuous survey done in Sand Shoal Inlet in Eastern Shore of Virginia on the Delmarva Peninsula on May 12, 1999.</p> <p>The ADCP data files are: SS01002T.000, SS01003T.000, and SS01004T.000.</p> <p>The CTD data files are named as SNDSHL**.CNV (a total of 33 files).</p> <p> </p> <p>ADCP data are measured from the RDI’s old program Transect.</p> <p><em>Ship Track:</em> Repeated samplings of ADCP were made along four transects connected by four points:</p> <p> [1] 37 17.918 N, 75 48.596 W</p> <p> [2] 37 18.344 N, 75 48.248 W</p> <p> [3] 37 17.884 N, 75 47.981 W</p> <p> [4] 37 18.054 N, 75 47.664 W</p> <p><em>CTD stations:</em></p> <p><em> {1} 37 18.174 N, 75 48.378 W</em></p> <p><em> {2} 37 17.978 N, 75 47.787 W</em></p> <p><em> Cast # Station #<br> 00 1<br> 01 2<br> 02 1<br> 03 2<br> 04 1<br> 05 2<br> 06 1<br> 07 n/a extra cast at ADCP [2]<br> 08 2<br> 09 1<br> 10 2<br> 11 n/a extra cast north of a front<br> 12 1<br> 13 2<br> 14 1<br> 15 2<br> 16 1<br> 17 2<br> 18 1<br> 19 2<br> 20 1<br> 21 2<br> 22 1<br> 23 2<br> 24 1<br> 25 2<br> 26 1<br> 27 2<br> 28 1<br> 29 2<br> 30 1<br> 31 2<br> 32 1<br> 33 2</em><br> </p> <p><strong>ACKNOWLEDGEMENTS</strong></p> <p>Thanks to Arnoldo Valle-Levinson and Larry Atkinson for the research support. The field trip participants included Cristobal Creyes, Bob Bray, RC Kidd, Rosario Sanay, Kris Holderied, Andres Sepulveda as well as a person by the first name Wildo. The data were used in Li (2002).</p> <p><strong>References</strong></p> <p>Li, C. (2002). Axial convergence fronts in a barotropic tidal inlet - Sand Shoal Inlet, VA, <em>Continental Shelf Research</em>, 22: 2633-2653. <a href="https://doi.org/10.1016/S0278-4343(02)00118-8">https://doi.org/10.1016/S0278-4343(02)00118-8</a>.</p>
Fig. 1 in Adaptations of tenebrionid beetles to Mediterranean sand dune environments and the impact of climate change (Coleoptera: Tenebrionidae)
Fig. 1 – Relationship between activity and temperature in some tenebrionid species in Palestine investigated by Bodenheimer (1934). Activity intensity is expressed by the following rank scale: (1) cold-torpor, (2) only weak, occasional movements of legs and antennae, (3) crawling with interruptions, (4) normal activity, (5) high activity, (6) excited activity, (1) heat-torpor, (0) heat-death. Redrawn from Fattorini (2008) with corrections. Inset: Zophosis punctata (photo S. Fattorini).
Fig. 2 in Adaptations of tenebrionid beetles to Mediterranean sand dune environments and the impact of climate change (Coleoptera: Tenebrionidae)
Fig. 2 – Diel and monthly activity patterns of tenebrionid beetles of Mediterranean dunes. A, diel activity of Erodius siculus in Latium (Central Italy) in May 1997; B, diel activity of Pimelia bipunctata in Latium (Central Italy) in March 1997; C, diel activity of Pimelia bipunctata in the same locality in May 1997. In these experiments, activity was measured as number of individuals intercepted by pitfall traps per hour in single days. After counting, beetles were immediately released. N: number of trapped individuals per hour. Ta: ambient temperature (°C), Ti: soil internal (3-4 cm depth) temperature (°C), Ts: soil surface temperature (°C). D, Phenological patterns of Erodius siculus in Latium (Central Italy) and Sicily (Southern Italy). Phenologies are expressed as number of locations in which the species has been recorded in each month over a period of a century (from 1897 to 1997). A and D are based on Di Stefano & Fattorini (2002). B and C are based on Fattorini & Di Stefano (2004). Photos: courtesy of L. Di Biase.
GEOLAB Project CTP-ISSR: monotonic and cyclic Centrifuge Tests on Piles in sand proving Innovative Solutions to enhance Structural Resilience
<p>The existing structures are facing continuous changes in the loading conditions during their life span. These changes can be caused by weather and geo-hazards events and affect the structural response which is often already weakened by aging.</p> <p>A clear understanding of the interaction between the superstructure, the foundation and the surrounding soil is one of the crucial aspects to deal with to adapt the design and maintenance to enhance the resilience of new and existing Critical Infrastructures (CI) often used way beyond their life expectancy. Besides the loading components already considered in engineering practice, CI endure loads having cyclic nature acting continuously during service life (e.g., wind) which are often disregarded in foundation design and may trigger collapse mechanisms. Indeed, they are usually modelled as equivalent-static actions thus neglecting the accumulation of generalized permanent displacements of piled foundations in terms of settlement, sliding and rotation. This lack in design approach can be attributed to very limited research contributions dealing with cyclic loads. </p> <p>The CTP-ISSR (monotonic and cyclic Centrifuge Tests on Piles in sand proving Innovative Solutions to enhance Structural Resilience) project aims at investigating via centrifuge tests the behaviour of piled foundations under different loading types. Two series of centrifuge experiments on annular shaped pile groups and isolated piles embedded in Hostun sand were carried out at an increased gravity of 50 g in the Turner Beam Centrifuge at Schofield Centre, University of Cambridge. </p> <p>To simulate prototype reinforced concrete piles, model piles, made up of cement and metal wires, were manufactured in laboratory by means of an ad-hoc mould and manual mortar pouring. Such modelling is necessary to replicate the strong dependency of pile cross-sectional moment capacity on the axial force. Piles were installed in an 850 mm steel tub filled with manually poured Hostun sand prepared with a low-to-medium relative density. </p> <p>The first test included 2 single piles ad 2 groups of 8 piles connected by a circular rigid cap clear from the soil. The model foundations were subjected to monotonic vertical loads or vertical eccentric cyclic loads of different amplitudes and frequencies. In a similar fashion, the second test included 3 single piles ad 2 pile groups. In this case, the model foundations were subjected to monotonic vertical or horizontal loads or to cyclic horizontal loads of different amplitudes and frequencies. The response of the foundation system, in terms of loads and displacements, was monitored through loads cells, Linear Variable Differential Transformers (LVDTs) and Micro-Electro-Mechanical-Systems (MEMS). A miniaturized Cone Penetration Test (mini-CPT) was used to characterize the soil before the test execution. The experimental campaign was accomplished in 10 working days (including, among the others, model preparation, execution, data acquisition and dismantle). </p> <p>The results of the experiments will serve as benchmarks for the development of a non-linear macroelement for piled foundation. Adopting this innovative approach allows the strengthening of CI resilience by adapting the traditional design and maintenance to properly consider changing loading conditions in a simple yet reliable manner. </p> <p>Researchers and practitioners will be the beneficiaries of the outcome of this research, expecting the following advantages: <br> - Innovation in design, with the possibility to properly consider cyclic loading;<br> - Improvement in identifying possible failure mechanisms and the required maintenance to enhance reliability and resilience of existing CI.</p>
Airflow dynamics and aeolian sand transport across a beach-climbing dune-clifftop dune system
<p>This study presents an analysis of wind flow and sediment transport from the beach, up a 50m high, long (130m), steep (mean slope 26°) climbing dune and across a 1.5 m high max, 85 m long and 17.5 m wide clifftop dune 30km south of Dakhla in Morocco, NW Africa during highly oblique incident wind conditions. Multiple 2D sonic and cup/vane anemometers and sand traps were utilised for measurements. Flow steering was significant on the upper climbing dune. Flow deceleration occurred near the dune toe, and topographic forcing of flow was considerable on the upper slopes of the climbing dune. Near-surface flow steadiness (CV<sub>U1</sub>, CV<sub>U0.25</sub>) on the climbing dune straight slope segment was low and constant The distance upslope over which the airflow reached the speed comparable to that on the beach increases as the incident wind speed increases. The greatest flow acceleration and speed-up was observed at the cliff edge reaching 250% at 1m height and 220% at 0.25m height for the lowest incident wind speed class (4-5 m/s). The sand transport rate declined from the beach to the climbing dune toe and lower slope, but at the uppermost section of the climbing dune was 4 times higher than at the beach for the 7-8m/s incident wind speed. Sand in aeolian transport was generally finer than surface sand with mean grain size increasing up the slope. A comparison of the sand transport data collected with sand transport models, and the effects of slope on aeolian transport are also examined.</p>
Dataset for triaxial monotonic and cyclic laboratory tests on sand HN31 with fines performed at Université Gustave Eiffel/GERS/SRO
<p>Data from monotonic and triaxial tests obtained during the thesis :</p> <p>Gobbi, S. Caractérisation de paramètres mécaniques d'un sol saturé à partir d'essais de laboratoire et calibration de lois de comportement sous charge dynamique par modélisation numérique, PhD thesis, Université Gustave Eiffel, 2020</p> <p>https://theses.hal.science/tel-03268600</p> <p> </p>
Sandy seeds: Armor or invisibility cloak? Mucilage-bound sand physically protects seeds from rodents and invertebrates
Open the record for dataset details and reuse information.
Data from: Human walking biomechanics on sand substrates of varying foot sinking depth
Open the record for dataset details and reuse information.
Patterns of island fox habitat use in sand dune habitat on San Clemente Island
Open the record for dataset details and reuse information.
Influence of sand supply and grain size on upper regime bedforms
Open the record for dataset details and reuse information.
Sand lizards (Lacerta agilis) decrease nymphal infection prevalence for tick-borne pathogens Borrelia burgdorferi sensu lato and Anaplasma phagocytophilum in a coastal dune ecosystem
Open the record for dataset details and reuse information.
MCR LTER: Coral Reef: Sand Flat Sampling: Sand Infaunal Surveys
These data represent abundances of infaunal invertebrates in lagoonal sand flats along the north shore of Moorea. Surveys were conducted once along five transects in the Vaipahu lagoon within the LTER 1 study site. The number of individuals from distinct invertebrate taxa were counted from 1815 cubic centimeter sand cores taken at varying distances from a large patch reef. The data also include sand grain size distributions.
Con-mod soil moisture data in the Black Sand experiment plots for East Knoll, Audubon, Lefty, Soddie and Trough, 2019 - ongoing.
In the alpine tundra, shrubs modify wind distribution of snow, increasing snowpack on the leeward side of shrubs, and they provide shading, which modifies temperatures. In order to mimic these abiotic effect of shrubs, structures called connectivity modifiers, hereafter referred to as con-mods, were deployed in Black Band experiment plots in September 2018. Briefly, the Black Sand experiment was initiated in May 2018 to measure the effects of an extended growing season, by initiating earlier snow melt through the application of black sand, on plants and biogeochemistry. Together, this experimental framework allows us to ask how biotic effects influence climate exposure and ecological responsiveness.
Con-mod species composition in the Black Sand experiment for East Knoll, Audubon, Lefty, Soddie and Trough, 2019 - ongoing.
In the alpine tundra, shrubs modify wind distribution of snow, increasing snowpack on the leeward side of shrubs, and they provide shading, which modifies temperatures. In order to mimic these abiotic effect of shrubs, structures called connectivity modifiers, hereafter referred to as con-mods, were deployed in Black Band experiment plots in September 2018. Briefly, the Black Sand experiment was initiated in May 2018 to measure the effects of an extended growing season, by initiating earlier snow melt through the application of black sand, on plants and biogeochemistry. Together, this experimental framework allows us to ask how biotic effects influence climate exposure and ecological responsiveness.
Con-mod soil temperature data in the Black Sand experiment control plots for East Knoll, Audubon, Lefty, Soddie and Trough, 2019 - ongoing.
In the alpine tundra, shrubs modify wind distribution of snow, increasing snowpack on the leeward side of shrubs, and they provide shading, which modifies temperatures. In order to mimic these abiotic effect of shrubs, structures called connectivity modifiers, hereafter referred to as con-mods, were deployed in Black Band experiment plots in September 2018. Briefly, the Black Sand experiment was initiated in May 2018 to measure the effects of an extended growing season, by initiating earlier snow melt through the application of black sand, on plants and biogeochemistry. Together, this experimental framework allows us to ask how biotic effects influence climate exposure and ecological responsiveness.
Experimental data used in "Watertable fluctuation-induced variability in the water retention curve: Sand column experiments"
<p>Experimental data used in "Watertable fluctuation-induced variability in the water retention curve: Sand column experiments"</p>
Bio-cementation and crackling noise from calcareous sand and consolidated aggregates
<p>The supporting data for "Bio-cementation and crackling noise from calcareous sand and consolidated aggregates".</p>
iSDAsoil: soil sand content (USDA system) for Africa predicted at 30 m resolution at 0-20 and 20-50 cm depths
<p>iSDAsoil dataset soil sand content in % predicted at 30 m resolution for 0–20 and 20–50 cm depth intervals. Data has been projected in WGS84 coordinate system and compiled as <a href="https://gdal.org/drivers/raster/cog.html">COG</a>. Predictions have been generated using multi-scale Ensemble Machine Learning with 250 m (MODIS, PROBA-V, climatic variables and similar) and 30 m (DTM derivatives, Landsat, Sentinel-2 and similar) resolution covariates. For model training we use a pan-African compilations of soil samples and profiles (<a href="https://www.isda-africa.com/national-soil-services/">iSDA points</a>, <a href="https://www.isric.org/projects/africa-soil-profiles-database-afsp">AfSPDB</a>, <a href="https://landpotential.org/data-portal/">LandPKS</a>, and other national and regional soil datasets). Cite as:</p> <p>Hengl, T., Miller, M.A.E., Križan, J. <em>et al.</em> African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning. <em>Sci Rep</em> <strong>11, </strong>6130 (2021). <a href="https://doi.org/10.1038/s41598-021-85639-y">https://doi.org/10.1038/s41598-021-85639-y</a></p> <p>To open the maps in QGIS and/or directly compute with them, please use the <a href="https://gitlab.com/openlandmap/africa-soil-and-agronomy-data-cube"><strong>Cloud-Optimized GeoTIFF version</strong></a>.</p> <p>Layer description:</p> <ul> <li>sol_sand_tot_psa_m_30m_*..*cm_2001..2017_v0.13_wgs84.tif = predicted soil sand content mean value,</li> <li>sol_sand_tot_psa_md_30m_*..*cm_2001..2017_v0.13_wgs84.tif = predicted soil sand content model (prediction) errors,</li> </ul> <p>Model errors were derived using bootstrapping: md is derived as standard deviation of individual learners from 5-fold cross-validation (using spatial blocking). The model 5-fold cross-validation (<a href="https://mlr.mlr-org.com/reference/makeStackedLearner.html">mlr::makeStackedLearner</a>) for this variable indicates:</p> <pre><code>Variable: sand_tot_psa R-square: 0.736 Fitted values sd: 22.8 RMSE: 13.7 Random forest model: Call: stats::lm(formula = f, data = d) Residuals: Min 1Q Median 3Q Max -80.626 -5.321 0.221 6.071 88.686 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 6.687471 24.022001 0.278 0.780714 regr.ranger 1.060521 0.003503 302.742 < 2e-16 *** regr.xgboost -0.018718 0.004910 -3.812 0.000138 *** regr.cubist 0.031749 0.003922 8.096 5.73e-16 *** regr.nnet -0.161127 0.422746 -0.381 0.703098 regr.cvglmnet -0.028217 0.004462 -6.323 2.57e-10 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 13.65 on 122261 degrees of freedom Multiple R-squared: 0.736, Adjusted R-squared: 0.736 F-statistic: 6.818e+04 on 5 and 122261 DF, p-value: < 2.2e-16</code></pre> <p>To submit an issue or request support please visit <a href="https://isda-africa.com/isdasoil"><strong>https://isda-africa.com/isdasoil</strong></a></p>
Photomicrographs of bedded halite and gypsum sand from the Bonneville Salt Flats and an evaporation pond
<p>Photomosaic images of thin sections and photomicrographs of evaporite features from the Bonneville Salt Flats. </p>
The long-term effect of restoration interventions, landscape composition, and time on the restoration success of Pannonic sand grasslands
<p>Data for the manuscript</p>
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.