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.
135
datasets available to search
ShareScore release 0.7.1
Dataset results
135 results for “water content”
Figure 7 After sieving, the collector removes the contents from the 250 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 7 After sieving, the collector removes the contents from the 250 μm sieve and places them into the final sample jar. a – fine sediment
Daily soil water content under different tillage techniques in Józsefmajor Experimental and Training Farm, Hungary
<p>Continous soil water content monitoring of a Central European chernozem type soil under mouldboard ploughing (MP) and no-tillage (NT) treatments</p> <p>Measurement frequency was 10 minutes, aggragated daily mean data are presented.</p> <p>Sampling depths: 5-10, 15-20, 30-35, 40-45 cm</p> <p><strong>Site description:</strong> Józsefmajor Experimental and Training Farm's long-term tillage experiment (Hungary, 47.688, 19.605).</p> <p>crop rotation, adaptable fertilization, Haplic Kastanozem (Aric, Pantoloamic, Pachic, Bathycalcic) soil type,</p> <p> </p>
Regression Datasets: Strength as a Function of Liquid Water Content in Different Snow Types
<p>This repository contains two datasets used for determining the shear strength of different snow types as a function of liquid water content. It also contains one dataset with additional information pertaining to our experiment, including site and condition details. <strong>Please read the 'Read me.txt' file before using these datasets.</strong></p>
Good vibrations: Remote-tactile foraging success of wading birds is positively affected by the water content of substrates they forage in
Open the record for dataset details and reuse information.
Soil temperature, volumetric water content and depth of thaw for ITEX CO2 flux survey plots 2003-2009.
Soil temperature, moisture content and thaw depth of the ITEX flux survey plots. Survey plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska. Measurements were made during the growing seasons 2003 to 2009.
Gas exchange, dieback, leaf water potential and chlorophyll content during a greenhouse drought experiment: An evolutionary perspective on functional diversity in co-occuring willow(salix) species
Thirteen willow (Salix) species occur in southeastern Minnesota and often co-occur within the same wetlands. This high local diversity is challenging to explain since closely related species are often functionally similar and density-dependent interactions such as competition and susceptibility to pests and pathogens should limit their co-occurrence. However, if willow species are partitioning resources, or if they are phylogenetically structured so that closely related species rarely co-occur, then the impact of these density-dependent processes could be reduced. In this study, I examined the role of niche partitioning in maintaining local willow diversity by comparing species physiology in a greenhouse.
Sediment profiles of dissolved oxygen and nitrous oxide along with temperature and sediment water content, Rowley River, Rowley, MA
Environmental pulses, or sudden, marked changes to the conditions within an ecosystem, can be important drivers of resource availability in many systems. In this study, we investigated the effect of tidal pulsing on the fluxes of nitrous oxide (N2O), a powerful greenhouse gas, from a marine intertidal mudflat on the north shore of Massachusetts, USA. We found these tidal flat sediments to be a sink of N2O at low tide with an average uptake rate of ??6.7 6 2 lmol??m??2??h??1. Further, this N2O sink increased the longer sediments were tidally exposed. These field measurements, in conjunction with laboratory nutrient additions, revealed that this flux appears to be driven primarily by sediment denitrification. Additionally, N2O uptake was most responsive to dissolved inorganic nitrogen with phosphorus (DINþDIP) addition, suggesting that the N2O consumption process may be P limited. Furthermore, nutrient addition experiments suggest that dissimilatory nitrate reduction to ammonium (DNRA) releases N2O at the highest levels of nitrate fertilization. Our findings indicate that tidal flats are important sinks of N2O, potentially capable of offsetting the release of this potent greenhouse gas by other, nearby ecosystems.
Ground temperature & ground water content (20, 40, 60cm depth) in Katterjokk fen site, 2019-2020
<p>Sub-hourly ground temperature (GT) and water content (GWC) collected in a fen site in Katterjokk, northern Sweden, for 2019 and 2020. Depths are 20cm (Port 3), 40 cm (Port 2) and 60cm (Port 1).</p> <p>The data was collected with Teros 12 sensors, and is provided as raw data and calibrated (configured.xlsx file) for organic soils as described by the seller. (<a href="https://www.metergroup.com/en/meter-environment/products/teros-12/teros-12-resources">https://www.metergroup.com/en/meter-environment/products/teros-12/teros-12-resources</a><br><br><br></p>
Water table depth dynamics and surface soil moisture content from three Scottish peatland areas (2021-2022)
<p>This compilation of datasets from three monitoring sites on peatland in Scotland includes water table depth dynamics and surface soil moisture content and covers the period 2021-2022. Further data will be added on an annual basis. This is version 2 of the dataset, which corrects a small number of data QC issues (see README).</p>
Metatranscriptomic response of the wheat holobiont to decreasing soil water content
<p><strong>Background</strong></p> <p>This dataset contains processed high throughput metatranscriptomics (RNA) sequencing data related to the scientific article entitled <em>Metatranscriptomic response of the wheat holobiont to decreasing soil water content</em>. </p> <p>The files available in this archive are described below:</p> <p><strong>Contigs abundance:</strong><br> contigs/qc_mapping_stats.tsv<br> Contains read counts through various steps of the pipeline. </p> <p>contigs/merged_contigs_abundance.tsv<br> Number of reads that mapped to each contig for each sample. Rows = contig ID; column = sample ID.</p> <p>contigs/merged_contigs_abundance_cpm.tsv<br> Normalized (edgeR) number of reads (Count Per Million - CPM) that mapped to each contig for each sample. Rows = contig ID; column = sample ID.</p> <p><strong>Gene abundance:</strong><br> genes/merged_gene_abundance.tsv<br> Number of reads that mapped to each gene for each sample. Rows = gene ID; column = sample ID.</p> <p>genes/merged_gene_abundance_cpm.tsv<br> Normalized (edgeR) number of reads (Count Per Million - CPM) that mapped to each gene for each sample. Rows = gene ID; column = sample ID.</p> <p><strong>Beta diversity:</strong><br> Beta diversity tables computed (with microbiomeutils v0.9) on gene abundance and contig abundance and bacteria/archaea contigs abundance are available here:<br> betadiv/bray_curtis_contig_abundance/<br> betadiv/bray_curtis_gene_abundance/<br> betadiv/bray_curtis_contig_bacteriaArchaea/<br> Inside each of these directory is an index.html file allowing to visualize an Emperor interactive 3d vizualisation of beta diversity ordinations.<br> ./3d_bray_curtis_plot/index.html</p> <p><strong>Functional annotations:</strong><br> Gene functional annotations procedures are inspired from the JGI annotation workflow and is described in PMID: 31600863.</p> <p>annotations/annotations.tsv<br> Functional annotations and taxonomic lineages (see below) are merged in a single tabular separated file. <br> Contains the results of <br> DIAMOND BLASTp of each gene amino acid sequence against KEGG genes database.<br> DIAMOND BLASTp of each gene amino acid sequence against NCBI nr database.<br> HMMSCAN of each gene amino acid sequence against PFAM-A database (in domtblout format).<br> HMMSCAN of each gene amino acid sequence against PFAM-A database (in tblout format).<br> RPS-BLAST of each gene amino acid sequence against COG database.</p> <p><br> <strong>Contigs-based taxonomy:</strong></p> <p>consensus/taxonomy.tsv<br> Contains the taxonomy assignment for each contig. Taxonomy assignment was performed with PMID : 31640809. <br> consensus/feature_table_<normalized>_L1 to _L7.txt<br> Contigs abundance tables of each contig for each sample. Taxonomy assignment was performed with PMID : 31640809. </p> <p>consensus/feature_table.tsv<br> Contains the raw reads abundance of each contig across all samples.</p> <p>consensus/feature_table_normalized.tsv<br> Contains the normalized (with edgeR) reads abundance of each bin across all samples.</p> <p> </p>
Stable water isotopes reveal the onset of bud dormancy in temperate trees, whereas water content is a better proxy for dormancy release
<p><span>Earlier spring growth onset in temperate forests is a visible effect of global warming and affects global water and carbon cycling. Therefore, it is crucial to accurately predict the shift in spring phenology under projected future warming. However, current phenological models lack physiological information and are rarely experimentally validated.</span><span> </span><span>Therefore, twig cuttings of five deciduous tree species were sampled at two climatically different sites throughout the winter of 2019/2020. Twig budburst success, thermal time to budburst, bud water content, and short-term <sup>2</sup>H-labelled water uptake into buds were quantified to link bud dormancy status with vascular water transport efficacy.</span><span> We found strong <sup>2</sup>H-labelled water uptake into buds during leaf senescence, followed by a sharp decrease that we attributed to the initiation of dormancy. However, we did not find increasing <sup>2</sup>H-labelled water uptake into buds with progression of winter, whereas all species showed a linear relationship between bud water content and dormancy status. Our results show that short term <sup>2</sup>H-labelled water uptake appears to be a poor tracer of dormancy release, but could be a promising method to track dormancy induction of deciduous trees, whereas bud water content seems to be an inexpensive and more reliable indicator of dormancy release. </span></p>
Liquid water content, ice water content and density measured via the SnowMelt Instrument at Auberge station
<pre><span><span>Liquid water content, ice water content and density measured via the SnowMelt Instrument nearby the Auberge station during 3 consecutive winters, from <span>2021-11-05</span> to <span>2024-03-21, for the bottom snow layer (0-7cm). Data are aggregated at the hourly time step. The instrument was unmounted during no-snow periods. The liquid water content of the bottom snow layer can be used as a proxy for snow melt at the measurement point.</span></span></span></pre>
Dataset (Global C-responses for CSES and CSES+Swarm+Obs database) presented in the recently submitted AGU manuscript "Electrical conductivity of mantle transition zone and water content revealed by the magnetic data of China Seismo-electromagnetic Satellite".
<p>Dataset (Global C-responses for CSES and CSES+Swarm+Obs database) presented in the recently submitted AGU manuscript "Electrical conductivity of mantle transition zone and water content revealed by the magnetic data of China Seismo-electromagnetic Satellite".</p>
Freezing point of water, water content and proportion of freezing water in Heracleum sosnowskyi plants
<p><strong>Method plant tissue of analysis using differential scanning calorimetry (DSC)</strong></p> <p>Differential scanning calorimetry was used to assess the risk of tissue plant damage by low negative temperatures. We measured the freezing point of water, the water content and the proportion of freezing water in plant samples using the DSC – 60 Shimadzu calorimeter (Japan). The samples were buds and seeds of <em>Heracleum sosnowskyi</em> (hogweed) plants. The samples were placed in an aluminum pan with a volume of 0.1 cm<sup>3</sup>. The sample was cooled at a rate of 1 °C/min from +5 °C to -30 °C. The water crystallization temperature was determined at the beginning of the phase transition peak. After measurements, the material was dried at 105 °C to a constant dry mass.</p> <p>The following calculations were applied:</p> <ol> <li>A – DSC data (water crystallization temperature, ºC);</li> <li>B – wet weight sample (mg);</li> <li>C – dry weight sample (mg);</li> <li>D = B-C – (water content in sample, mg);</li> <li>E – DSC data (heat from water freezing, mJ);</li> <li>F= E× 335 – (frozen water in sample, mg);</li> <li>335 –The heat of frozen for wateris approximately (mJ/mg);</li> <li>G = D-F – (non-freezing water, mg);</li> <li>H = (100%/D) × F – (frozen water in sample, %);</li> <li>I = (D/B) ×100 – (water content in sample, %);</li> <li>J= D/C (mg H<sub>2</sub>O/mg dry weight sample).</li> </ol> <p> The results of the analysis are presented in the file «The_results_DSC_analysis_of_buds_seeds.xls».</p> <p>Measurements were carried out in September 2018. The samples were buds and seeds of <em>Heracleum sosnowskyi</em> (hogweed) plants. Geographical coordinates vegetation plants 61.645333, 50.733196.</p>
Freezing point of water, water content and proportion of freezing water in Heracleum sosnowskyi seedlings with radicles
<p><strong>Method plant tissue of analysis using differential scanning calorimetry (DSC)</strong></p> <p>Differential scanning calorimetry was used to assess the risk of tissue plant damage by low negative temperatures. We measured the freezing point of water, the water content and the proportion of freezing water in plant samples using the DSC – 60 Shimadzu calorimeter (Japan). The samples were seedlings with radicles of <em>Heracleum sosnowskyi</em> (hogweed) plants from under snow. The samples were placed in an aluminum pan with a volume of 0.1 cm<sup>3</sup>. The sample was cooled at a rate of 1 °C/min from +5 °C to -30 °C. The water crystallization temperature was determined at the beginning of the phase transition peak. After measurements, the material was dried at 105 °C to a constant dry mass.</p> <p>The following calculations were applied:</p> <ol> <li>A – DSC data (water crystallization temperature, ºC);</li> <li>B – wet weight sample (mg);</li> <li>C – dry weight sample (mg);</li> <li>D = B-C – (water content in sample, mg);</li> <li>E – DSC data (heat from water freezing, mJ);</li> <li>F= E× 335 – (frozen water in sample, mg);</li> <li>335 –The heat of frozen for water is approximately (mJ/mg);</li> <li>G = D-F – (non-freezing water, mg);</li> <li>H = (100%/D) × F – (frozen water in sample, %);</li> <li>I = (D/B) ×100 – (water content in sample, %);</li> <li>J= D/C (mg H<sub>2</sub>O/mg dry weight sample).</li> </ol> <p> </p> <p>The results of the analysis are presented in the file «The_results_DSC_analysis_of_seedlings_Heracl_sosn_2017.xls».</p> <p>Measurements were carried out in March 2017. The samples were seedlings with radicles of <em>Heracleum sosnowskyi</em> (hogweed) plants from under snow. Geographical coordinates vegetation plants 61.645333, 50.733196.</p>
Global soil water content (volumetric m³/m³) for 10kPa, 33kPa and 1500kPa suctions predicted at 4 depths (0, 30, 60, and 100 cm) at 1km resolution
<p>Volumetric soil water content (m³/m³) at 10 kPa, 33 kPa, and 1500 kPa suctions was predicted at four depths (0, 30, 60, and 100 cm) with a spatial resolution of 1 km. The maps of van Genuchten (vG) parameters from Gupta et al. (2022) were used to calculate the soil water content at these pressures, following Equation 1 from Gupta et al. (2022).</p> <p>References:</p> <ol> <li>Gupta, Surya, Papritz, Andreas, Lehmann, Peter, Hengl, Tomislav, Bonetti, Sara, & Or, Dani. (2022). Global maps of soil water characteristics parameters developed using the random forest in a Covariate-based GeoTransfer Functions (CoGTF) framework at 1 km resolution [Data set]. https://doi.org/10.5281/zenodo.6343570</li> </ol>
Stomach content DNA from Loligo vulgaris paralarvae in W Iberian Peninsula waters
<p>This dataset contains the DNA sequences obtained from 31 Loligo vulgaris paralarvae ranging from 1.61 to 6.01 mm that were between two and 28 days old. Digestive system of each paralarvae was dissected and DNA was extracted amplifying 300 bp fragment of the mitochondrial cytochrome c oxidase subunit I gene.</p> <p>The generated DNA fragments (DNA libraries) were sequenced with MiSeq Reagent Kit v3 in the lllumina MiSeq platform, using 300bp paired-end sequencing reads.</p> <p> </p>
Theory of Maximum Entropy Production (MEP) and Its Application to Microwave Remote Sensing - Simultaneous Retrieval of Soil Moisture and Vegetation Water Content
<p>A theory of maximum entropy production (MEP) for electromagnetic wave propagation in dielectric materials is proposed and applied to simultaneously retrieving soil moisture (SM) and vegetation water content (VWC) from L-band microwave brightness temperature (TB). One representation of the MEP principle states that a non-equilibrium system corresponds to such a configuration of energy fluxes that minimizes a dissipation function under the constraint of energy conservation. The dissipation function for radiative transfer is formulated as an analogy of that for heat transfer. A new physical parameter, radiative inertia as an analogy of thermal inertia, is introduced to characterize radiative attenuation in dielectric media. The radiative inertia is parameterized in terms of the penetration depth of electromagnetic waves as a function of the complex dielectric constant. The MEP based retrieval algorithm predicts SM and VWC by minimizing the dissipation function under the constraint of the conservation of radiative energy. The retrievals of SM and VWC based on the MEP theory were validated against field observations in tropical and temperate forested regions of the Amazon and North America. The proof-of-concept analysis demonstrates the capability of the MEP algorithm for simultaneous retrievals of SM and VWC even for dense canopy (e.g. VWC > 5 kg m-2). The MEP method is a new theoretical framework for developing innovative remote sensing algorithms of the Earth system not limited to just microwave observations.</p><p>Note: We would appreciate if users contact us for the use of the data.</p>
Water content data for calibration of online measurements
<p>Data for water content of test samples of wood chips. The data have been used for calibration at a CHP plant to allow of online measurements. The data are used for "Calibration techniques for Water Content Measurements in Solid Biofuels" (in prep.)</p> <p>www.biofmet.eu</p> <p> </p>
Water and Electrolytes Content in HYpertension (WHYSKI) in the SKIn
ClinicalTrials.gov study NCT06090617. IPD Sharing: YES. Countries: 1. Publications: 6.
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.