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245 results for “soil datasets”
Dataset for the Figure 2 in manuscript "Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles"
<p>This dataset includes the gathered experimental measurements of a freezing test by Wu (2017) for the model's verification shown in Figure 2 of the manuscript entitled 'Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles'' by Huang, X., and Rudolph, D.L.</p>
Soil dataset from poplar cultivation sites in northern Italy plains
<p>The soil sampling activities conducted in the plains of northern Italy adhered to the methodology outlined in the poplar inventory dataset by Rizza et al. (2023). The dataset consisted of 2,322 clusters that were georeferenced on a three-kilometre UTM grid, systematically distributed across an area spanning 4,179,600 hectares. Each cluster comprised nine subunits aligned with the points on a 500-meter square grid. </p> <p>The soil sampling took place between 1994 and 1996 and focused on locations with poplar plantations that were at least five years old in 1994. To obtain the samples, a pedological profile was manually excavated, and each layer was identified. One kilogram of soil was collected from each layer.</p> <p>Each soil sample was labelled with the region's sampling letter, cluster number, and element number. A maximum of five depths were examined for each sample. The texture characteristics (fine sand, coarse sand, fine silt, coarse silt, and clay) and certain chemical properties (limited to the first horizon) were documented, including NH4+, NO3-, CaCO3, P2O5, pH, organic matter, and soil carbon. </p> <p>Moreover, the presence of irrigation was recorded, and for the first layer, the depth of the temporary and permanent water table was reported. It is important to note that for certain samples, only the surface soil layers were evaluated, omitting depths exceeding 60 centimetres.</p> <p>Additionally, the soil samples were air dried, sieved to two millimetres and then scanned using an ASD Fieldspec instrument, particularly the LabSpec Pro Spectrophotometer LSP 350-2500P Analytical Spectral Devices, Inc. The reflectance at wavelength range 350–2500 nm was acquired with an interval of 1 nm. The resulting Vis-Nir soil spectral library was integrated with the soil data and entered in two excel worksheets joined by a sampleID.</p> <p>The coordinates of the samples are in WGS 84 - EPSG 4326.</p>
Chronological dataset of soil respiration fluxes from a seasonally dry forest in Northwest México
<p>Soil respiration data was acquired and analyzed as described in Vargas-Terminel et al.[1]. Briefly, soil respiration was obtained by measuring changes in CO<sub>2</sub> concentrations with a portable soil flux system attached to a static chamber covering a portion of soil. Each measurement cycle in soil lasted 3 mins and was done monthly during a four-year period in 8 to 12 locations within three sites of tropical dry forest in Northwestern Mexico (a recent abandonment, a mid-secondary forest and an old-growth). Also, simultaneous soil temperature and volumetric soil water content measurements were carried with a thermocouple thermometer and a soil moisture sensor, respectively. Finally, soil respiration flux was calculated with commercial soil data processing software.</p>
A Data-facilitated Numerical Method for Richards Equation to Model Water Flow Dynamics in Soil Dataset
<p>This dataset contains the reference solutions used for training the two neural networks in 1-, 2- and 3-D cases for the article:"A Data-facilitated Numerical Method for Richards Equation to Model Water Flow Dynamics in Soil" by Zeyuan Song and Zheyu Jiang, submitted to the journal Water Resources Research. </p> <p>This dataset which describes the relationship between the pressure head and number of particles used to train two MLPs in D-GRW based solvers consists of three files, i.e., 1-, 2- and 3-D case study. There are two parts, original reference solutions and reference solutions, corresponding to the original solutions generated by coarse mesh solvers and solutions after data augmentation process, respectively.The dataset is generated by GRW based solvers and simulation results (e.g., Celia's finite difference method). Original reference solutions admit GRW proportionality assumption. We initialize the number of particles by multiplying the initial condition and 1E10. </p>
Dataset for manuscript entitled: Switchgrass cropping systems affect soil carbon and nitrogen and microbial diversity and activity on marginal lands
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Dataset for: Long-term soil warming decreases microbial phosphorus utilization by increasing abiotic phosphorus sorption and losses
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Dataset for: Phosphorus mobilization from intact soil monoliths flooded under simulated summer versus spring snowmelt with intermittent freeze-thaw conditions
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Soil microbiome dataset from the University of Wisconsin Arlington and Lancaster agricultural research stations and cheese maker and vegetable processor wastewater land application sites
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Dataset of global plant-soil feedback
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Dataset associated with the manuscript: Soil management legacy interacts with wheat genotype to determine access to organic N in a dryland system
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Dataset for: Exploring the legacy effect of biochar application on soil nitrous oxide emissions
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Global soil moisture–atmosphere feedback and N2O emission dataset
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Dataset of nanoplastic transport in soil via bioturbation by Lumbricus terrestris
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Schistosomiasis and soil-transmitted helminthiasis preventive chemotherapy: Adverse events in children from 2 to 15 years in Bengo province, Angola - Dataset
<p>In the context of a targeted drug administration, between December 2012 and September 2013, we conducted two surveys after co-administrating single oral doses of praziquantel and albendazole tablets to children 2 to 15 years of age. About 24 hours after each treatment, participants answered a questionnaire about adverse events. At baseline, 605 children (55.0% male; mean age: 9.7 years) were treated; 460 were interviewed and 257 (55.9%) reported at least one adverse event, 62.3% (160/257) of children being infected with<em> schistosoma haematobium</em>. After six months of treatment, among 339 children surveyed, 184 (54.3%) reported adverse events, with 49.5% (91/184) of infected children. Adverse events were most common in preschool-aged children, with no significant difference between genders. The most frequent adverse events in the two surveys were abdominal pain (18.5%, 25.7%), headache (20.9%, 23.0%) and dizziness (15.7%, 19.8%). Children aged 12 to 15 years (adjusted OR=0.40, <em>p</em>=0.040) and those with mixed infection (adjusted OR=0.04<em>, p</em>=0.011) had lower odds of adverse events. After the second treatment, those with heavy infection (adjusted OR=2.72<em>, p</em>=0.018) and aged 9-11 years (adjusted OR=2.01, <em>p</em>=0.049) had significantly fewer adverse events. About 2.0% of children experienced severe adverse events.</p>
Dataset: Seasonality, drivers, and isotopic composition of soil CO2 fluxes from tropical forests of the Congo Basin
<p>These data sets contain data from soil CO2 flux measurements and its drivers (soil moisture, soil temperature) from lowland and montane tropical forests of the Congo Basin. Additionally, 13C values of soil emitted CO2, SOC, Leaflitter, and stream dissolved CO2 are reported. A Manuscript using these data sets has been submitted to Biogeosciences</p>
Soil-meteorological dataset collected at Frasne peatland (192ha, Jura Mountains, France)
<p>Data of meteorological and soil physics measured on Frasne peatland in two stations (frn/bm1 and frn/bm2). Measurements start on 06-11-2008 and are regularly updated with new data. The measured parameters are: Air temperature (°C), Air pressure (mbar), Precipitation (mm), Relative humidity (%), ShortWave/LongWave outgoing/incoming radiation (W/m2), Photosynthetic photon flux density incoming (μmol/m2/s), Wind direction (°), Wind speed (m/s), Soil temperature (°C), Soil water content (%), Soil heat flux (W/m2), and Water table depth (m).</p> <p>Zip file contain :</p> <ul> <li>metadata file (TOUR_en.json) which describe stations, sensors, variables and process</li> <li>csv file contain time series data for all variables by station</li> </ul> <p>Additional information on the measurement can be found in this website : <a href="https://data-snot.cnrs.fr/data-access/">https://data-snot.cnrs.fr/data-access/</a></p> <p>We also recommend to contact sno-tourbieres for additional information about data acquisition and use : <a href="mailto:contact.sno-tourbieres@cnrs-orleans.fr">contact.sno-tourbieres@cnrs-orleans.fr</a></p>
Soil-meteorological dataset collected at Landemarais peatland (16 ha, Brittany, France)
<p>Data of meteorological and soil physics measured on Landemarais peatland in two stations (ldm/bm1 and ldm/bm2). Measurements start on 14-12-2016 and are regularly updated with new data. The measured parameters are: Air temperature (°C), Air pressure (mbar), Precipitation (mm), Relative humidity (%), ShortWave/LongWave outgoing/incoming radiation (W/m2), Photosynthetic photon flux density incoming (μmol/m2/s), Wind direction (°), Wind speed (m/s), Soil temperature (°C), Soil water content (%), Soil heat flux (W/m2), and Water table depth (m).</p> <p>Zip file contain :</p> <ul> <li>metadata file (TOUR_en.json) which describe stations, sensors, variables and process</li> <li>csv file contain time series data for all variables by station</li> </ul> <p>Additional information on the measurement can be found in this website : https://data-snot.cnrs.fr/data-access/<br> </p> <p>We also recommend to contact sno-tourbieres to talk about data acquisition and use : contact.sno-tourbieres@cnrs-orleans.fr<br> </p> <p> </p>
Example dataset of soil horizons investigated using SFM in Mauguio (France)
<p>Excavations of a pit soil were assessed using SfM (Structure-From-Motion) with MVS (Multi-view Stereophotogrammetry) approach to create 3D clouds of the soil horizon before and after excavations.</p>
Dataset for a physics informed deep learning method with adaptively weighted loss for modeling soil water flows
<p>The data for the 11 scenarios generated by Hydrus-1D is located in data.zip</p> <p>The code for the physics-informed neural networks with adaptively weighted loss used to simulate water flow in loam soils is located at PINN_adaptively_weighted_loss_loam.zip</p>
Dataset and R scripts for "Microbial response to soil fauna exclusion"
<p>R scripts and corresponding data for producing the figures are provided here. Source data descriptions are provided within the file.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.