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.
68
datasets available to search
ShareScore release 0.9.0
Dataset results
68 results for “water sources”
Kinematic Process and Characteristic of Root-Induced Water Flow Using a Visualizing Point Source Infiltration Experiment
<p><span>The video is the temporal results of the 2-D point source infiltration experiment in this paper. ‘G-’ represents the granular experimental group, and ’RG-’ represents the root-granular experimental group. The injection rate of G-1 and RG-1 is 0.25 mm/min, corresponding to the boundary flow rate of 0.03 ml/min. </span></p> <p><span>In this experiment, the glass beads have a particle diameter ranging from 0.6-0.8 mm. The selected root has diameters ranging from 1.3-1.5 mm.</span></p>
Water level of Qinghai Lake based on multi-source satellite altimetry data
Open the record for dataset details and reuse information.
Data from: Source-sink relationships during grain filling in wheat in response to various temperature, water deficit and nitrogen deficit regimes
<p>Grain filling is a critical process for improving crop production under adverse conditions caused by climate change. Here, using a quantitative method, we quantified post-anthesis source-sink relationships of a large data set to assess the contribution of remobilized pre-anthesis assimilates to grain growth for both biomass and nitrogen. The data set came from 13 years' semi-controlled field experimentation, in which six bread wheat genotypes were grown at plot scale under contrasting temperature, water, and nitrogen regimes. On average, grain biomass was ~10% higher than post-anthesis aboveground biomass accumulation across regimes and genotypes. Overall, the estimated relative contribution (%) of remobilized assimilates to grain biomass became increasingly significant with increasing stress intensity, ranging from virtually nil to 100%. This percentage was altered more by water and nitrogen regimes than by temperature, indicating the greater impact of water or nitrogen regimes relative to high temperatures under our experimental conditions. Relationships between grain nitrogen demand and post-anthesis nitrogen uptake were generally insensitive to environmental conditions, as there was always significant remobilization of nitrogen from vegetative organs, which helped to stabilize the amount of grain nitrogen. Moreover, variations in the relative contribution of remobilized assimilates with environmental variables were genotype-dependent. Our analysis provides an overall picture of post-anthesis source-sink relationships and pre-anthesis assimilate contributions to grain filling across (non-)environmental factors, and highlights that designing wheat adaption to climate change should account for complex multi-factor interactions.</p>
Integrating Bayesian groundwater mixing modeling with on-site helium analysis to identify unknown water sources
<p>Analyzing groundwater mixing ratios is crucial for many groundwater management tasks such as assessing sources of groundwater recharge and flow paths. However, estimating groundwater mixing ratios is affected by various uncertainties, which are related to analytical and measurement errors of tracers, the selection of end-members and finding the most suitable set of tracers. Although these uncertainties are well recognized, it is still not common practice to account for them. We address this issue by using a new set of tracers in combination with a Bayesian modeling approach, which explicitly considers the possibility of unknown end-members while fully accounting for tracer uncertainties. We apply the Bayesian model we developed to a tracer set which includes helium-4 analyzed on-site to determine mixing ratios in groundwater. Thereby, we identify an unknown end-member, that contributes up to 84% to the water mixture observed at our study site. For the helium-4 analysis, we use a newly developed Gas Equilibrium Membrane Inlet Mass Spectrometer (GE-MIMS), operated in the field. To test the reliability of on-site helium-4 analysis, we compare results obtained with the GE-MIMS to the conventional lab-based method, which is comparatively expensive and labor intensive. Our work demonstrates that (i) tracer-aided Bayesian mixing modeling can detect unknown water sources, thereby revealing valuable insights into the conceptual understanding of the groundwater system studied and ii) on-site helium-4 analysis with the GE-MIMS system is an accurate and reliable alternative to the lab-based analysis.</p>
A hydrogen-enriched layer in the topmost outer core sourced from deeply subducted water
<p>X-ray diffraction data sets for the submitted manuscript.</p> <p>Acceptance in principle of Nature Geoscience.</p>
Assessment of Zinc Intake From Enriched Water and Other Dietary Sources in Kisumu, Kenya
ClinicalTrials.gov study NCT02162238. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Coalescent models characterize sources and demographic history of recent round goby colonization of Great Lakes and inland waters
Open the record for dataset details and reuse information.
Data from: Source-sink relationships during grain filling in wheat in response to various temperature, water deficit and nitrogen deficit regimes
Open the record for dataset details and reuse information.
Survey Data of the socio-demographic, economic and water source types that influences HHs drinking water supply
Open the record for dataset details and reuse information.
Data supporting: Isotopic insights on continental water sources and transport in the mountains and plains of southern South America
<p>The data presented here comprises the stable isotopic composition (δ<sup>2</sup>H and δ<sup>18</sup>O) of 1659 samples of precipitation, rivers, groundwater and lakes/ponds samples from a total of 511 sites. This is a composite dataset that includes data from the Global Network of Isotopes in Precipitation (GNIP) and Rivers (GNIR) databases (IAEA/WMO 2019), data extracted from different published articles (cited therein) and data obtained directly by the authors as part of different previous and ongoing projects of our own lab (GEA, IMASL). Excel sheet 1 shows a description/overview of the dataset as displayed in Table 1. Excel sheet 2 shows the dataset, which includes a unique identifying code, type of water sample (precipitation, rivers, groundwater, and lakes), name of location, sampling point date, latitude, longitude and elevation, and the dual isotopic composition (δ<sup>2</sup>H and δ<sup>18</sup>O).</p> <p>This dataset supports: Poca M, Nosetto MD, Ballesteros S, Castellanos G, Jobbágy EG. <em>Isotopic insights on continental water sources and transport in the mountains and plains of southern South America.</em> Isotopes in Environmental and Health Studies (IEHS). DOI:10.1080/10256016.2020.1819264</p> <p>We acknowledge all contributing researchers to GNIP and GNIR databases, as well as the effort of the IAEA for initiating and maintaining these open access global initiatives. We also acknowledge the authors of the papers cited in the dataset and all GEA lab staff that contributed to the sampling and/or to measuring the stable isotopic compositions of waters included in this database.</p> <p>This work was supported by Fondo para la Investigación Científica y Tecnológica under FONCyT-Grant BID PICT-2018-03143.</p> <p>For any query, please contact María Poca at: pocamaria@gmail.com</p>
Ionic and water stable isotope composition of different Mendoza River basin (Argentina) water sources
<p>Samples obtained in a high temporal resolution from different water sources of the upper Mendoza River basin (Argentinean Central Andes). Ionic and water stable isotopes compositions are expressed and electric conductivity, pH and mean catchments altitudes. Decimal positions are expressed with comma.</p>
Proteinaceous Matter and Liquid Water in Fine Aerosols in Nanchang, Eastern China: Seasonal Variations, Sources, and Potential Connections
<p>DATA-JGR-A</p>
Kinematic Process and Characteristic of Root-Induced Water Flow Using a Visualizing Point Source Infiltration Experiment
Open the record for dataset details and reuse information.
Antibacterial Activity of Micrococcus luteus YSD1 Isolated from Velankanni Water Source, Tamil Nadu
<p>The present study demonstrates the antibacterial activity of marine bacteria isolated from Velankanni Beach, Chennai, India. Five distinct isolates were identified, with <em>Micrococcus luteus</em> (YSD1) exhibiting the most promising antibacterial properties. The crude compounds extracted from YSD1 were examined for their antibacterial activity using the agar-well diffusion method against <em>Proteus mirabilis</em> ATCC 25933, <em>Bacillus</em> <em>subtilis</em>, <em>Bacillus cereus</em>, and methicillin-resistant <em>Staphylococcus aureus</em> (MRSA) ATCC 43300. Gas chromatography-mass spectrometry (GC-MS) analysis revealed 2-pentanone at high intensity, with potential applications in cancer treatment. This research underscores the potential of marine ecosystems as a source of novel antibiotics and the significance of reliable approaches in pharmaceutical discovery. Further research is required to corroborate these findings against a wider range of pathogens and to explore their ameliorative potential and mechanisms of action. The results of this study contribute to the wider field of research by spotlighting the untapped potential of marine ecosystems in bringing novel antibiotics to light, thereby paving the way for future studies to combat antibiotic resistance.</p>
African elephants can detect water from natural and artificial sources via olfactory cues
<p>Water is vital for mammals. Yet, as ephemeral sources can be difficult to find, it raises the question, how do mammals locate water? Elephants (<i>Loxodonta africana</i>) are water-dependent herbivores that possess exceptional olfactory capabilities, and it has been suggested that they may locate water via smell. However, there is no evidence to support this claim. To explore this, we performed two olfactory choice experiments with semi-tame elephants. In the first, we tested whether elephants could locate water using olfactory cues alone. For this, we used water from two natural dams and a drinking trough utilised by the elephants. Distilled water acted as a control. In the second, we explored whether elephants could detect three key volatile organic compounds (VOCs) commonly associated with water (geosmin, 2-methylisoborneol, and dimethyl sulphide). We found that the elephants could locate water olfactorily, but not the distilled water. Moreover, they were also able to detect the three VOCs associated with water. However, these VOCs were not in the odour profiles of the water sources in our experiments. This suggests that the elephants were either able to detect the unique odour profiles of the different water sources or used other VOCs that they associate with water. Ultimately, our findings indicate that elephants can locate water olfactorily at small spatial scales, but the extent to which they, and other mammals, can detect water over larger scales (e.g. km) remains unclear.</p>
Macroinvertebrate communities in streams with contrasting water sources in the Japanese Alps
<p>Data on macroinvertebrate community structure and environmental conditions across groundwater and snowmelt fed stream systems in the northern Japanese Alps. </p>
Fig. 2 in Spatial pattern of a fish assemblage in a seasonal tropical wetland: effects of habitat, herbaceous plant biomass, water depth, and distance from species sources
Fig. 2. Distribution of the relative abundance of the 49 species of fish captured in the 22 plots in Site of Long-Term Sampling (SLTS), related to the depth at each of the collection plots.
African elephants can detect water from natural and artificial sources via olfactory cues
Open the record for dataset details and reuse information.
Macroinvertebrate communities in streams with contrasting water sources in the Japanese Alps
Open the record for dataset details and reuse information.
GOZCARDS Source Water Vapor 1 month L3 10 degree Zonal Means on a Vertical Pressure Grid V1 (GozSmlpH2O) at GES DISC
The GOZCARDS Source Data for Water Vapor 1 month L3 10 degree Zonal Averages on a Vertical Pressure Grid product (GozSmlpH2O) contains zonal means and related information (standard deviation, minimum/maximum value, etc.), calculated from original Level 2 satellite instruments and products. The source H2O data are from the following satellite instruments: HALOE (v19; 1991-2005), UARS MLS (v5; 1991-1997), ACE-FTS (v2.2; 2004-onward), Aura MLS (v2.2; 2004 onward). The vertical pressure range for H2O is from 147 to 0.01 hPa. The source data are used to create a merged product contained in a separate data product with the short name GozMmlpH2O.The GozSmlpH2O source data are distributed in netCDF4 format.
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.