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135 results for “Water content”

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zenodo32/100

Monitoring water content variations from seismic noise in a controlled laboratory experiment: PART 2 [Dataset]

<p>This dataset has been obtained with an original laboratory experiment aimed at assessing the sensitivity of passive seismic interferometry imaging (PII) to controlled fluctuations in water content. Multiple controlled cycles of water imbibition and draining at the base of the sandbox produce significant variations in the seismic wavefield and especially in dominant surface waves. PART 2: seismic measurements from 1501 to 2700minutes</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Monitoring water content variations from seismic noise in a controlled laboratory experiment: PART 1 [Dataset]

<p>This dataset has been obtained with an original laboratory experiment aimed at assessing the sensitivity of passive seismic interferometry imaging (PII) to controlled fluctuations in water content. Multiple controlled cycles of water imbibition and draining at the base of the sandbox produce significant variations in the seismic wavefield and especially in dominant surface waves. PART 1: seismic measurements from 0001 to 1500minutes</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Liquid water content and vertical velocity from RICO-based LES simulations

<p>The RICO-based simulations by implementing the LES module of WRF model 4.0 generate the raw data. The simulation continued for 40 hours with a time step of one second. The domain size is 12.8&times;12.8&times;4 km3, with a resolution of 100 m and 40 m in the horizontal and vertical orientation, respectively. The outputs during 8~40 hour were retained every 10 minutes. Two parameters (LWC and vertical velocity) were then extracted by using MATLAB to create the following dataset. The &quot;q&quot; and &quot;w&quot; in the filename represent LWC and vertical velocity, respectively, and the &quot;a&quot;~&quot;e&quot; in the filename represents the corresponding minute in each hour (e.g. &quot;q24a&quot; means LWC value at 24h10m). The unit of &quot;q&quot; and &quot;w&quot; are &quot;kg/kg&quot; and &quot;m/s&#39; respectively.&nbsp;</p>

opencc-by-4.0Feb 2023View details →
ClinicalTrials.gov32/100

Effects of FODMAPs on Small Bowel Water Content: an MRI Study

ClinicalTrials.gov study NCT01459406. IPD Sharing: Not stated. Countries: 1. Publications: 10.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

A Study of the Effect of Bran, Psyllium and Nopal on Intestinal Water Content Using Magnetic Resonance Imaging

ClinicalTrials.gov study NCT03263065. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Effects of Bolus and Continuous Nasogastric Feeding on Small Bowel Water Content and Blood Flow

ClinicalTrials.gov study NCT01557673. IPD Sharing: Not stated. Countries: 1. Publications: 9.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: Investigation of nitrogen and phosphorus contents in water in the tributaries of Danjiangkou Reservoir

Open the record for dataset details and reuse information.

publicDec 2017View details →
dryad32/100

Data from: Identifying conservation priorities for gorgonian forests in Italian coastal waters with multiple methods including citizen science and social media content analysis

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publicMay 2022View details →
dryad32/100

Irrigation well water in Nebraska: essential nutrient contents and other properties

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publicDec 2020View details →
dryad32/100

Data from: Estimating field capacity from volumetric soil water content time series using automated processing algorithms

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publicDec 2018View details →
dryad32/100

Data from: Combining ground‐penetrating radar with terrestrial LiDAR scanning to estimate the spatial distribution of liquid water content in seasonal snowpacks

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publicDec 2018View details →
dryad32/100

Data from: Contrasting water, dry matter and air contents distinguish orthophylls, sclerophylls and succophylls (leaf succulents)

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publicMar 2025View details →
dryad32/100

Soil water content determined at saturation and water holding capacity and calculated at 50% water filled pore space

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publicAug 2020View details →
dryad32/100

Dataset for: Physics-informed neural networks with monotonicity constraints for Richardson-Richards equation: Estimation of constitutive relationships and soil water flux density from volumetric water content measurements by Toshiyuki Bandai and Teamrat A. Ghezzehei

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publicMar 2022View details →
dryad28/100

Development and uncertainty assessment of pedotransfer functions for predicting water contents at specific pressure heads

<p>There has been much effort to improve the performance of pedotransfer functions (PTFs) using intelligent algorithms, but the issue of covariate shift, i.e. different probability distributions in training and testing datasets, and its impact on prediction uncertainty of PTFs has been rarely addressed. The common practice in PTF generation is to randomly separate the dataset in training and testing subsets, and outcomes of this random selection may be different if the process is subject to covariate shift. We evaluated the impact of covariate shift generated by data shuffling and detected by Kolmogorov-Smirnov test for prediction of water contents using soil databases from Denmark and Brazil. The soil water contents at different pressure heads were predicted by developing linear and stepwise regression besides machine learning based PTFs including Gaussian regression process and ensemble method. Regression based PTFs for the Brazilian dataset resulted in better predictions compared to machine learning methods that estimated high water contents in Danish soils more accurately. One hundred PTFs were developed for water content at specific pressure heads by data shuffling generating covariate shift. From these, a hundred sets of fitted van Genuchten parameters were obtained representing the generated uncertainty. Data shuffling led to covariate shift, resulting in uncertainty in water content prediction by the PTFs. Inherent variability of data may lead to increased prediction uncertainty. For correlated data, simple regression models performed as good as sophisticated machine learning methods. Using PTF-predicted water contents for van Genuchten retention parameter fitting may lead to a high uncertainty.</p>

opencc-zeroOct 2020View details →
zenodo28/100

data for "A novel three-phase interface premelting theory for determining unfrozen water content in unsaturated soil"

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opencc-by-4.0Nov 2024View details →
zenodo28/100

Experimental moisture content and water saturation and modeled output NAPL-phase saturation

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opencc-by-4.0Aug 2024View details →
ClinicalTrials.gov28/100

Assessing the Effect of Lettuce on Intestinal Water Content Through Magnetic Resonance Imaging of the Small Bowel

ClinicalTrials.gov study NCT02939716. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
dryad28/100

Soil Water Content at MMWD

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publicDec 2017View details →
dryad28/100

Development and uncertainty assessment of pedotransfer functions for predicting water contents at specific pressure heads

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publicOct 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record