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191 results for “water research”
Supplementary material, Figure S3 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Figure S3 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Figure S3. Wave direction and height recorded during microplastic collections in surface waters in the Santos Basin.<br>Caption: (A) Wave direction; (B) Wave Height. SB, Santos Basin.<br></span></p> <p> </p>
Supplementary material, Table S5 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Table S5 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Table S5. Comparison between studies on the presence of microplastics in coastal and oceanic waters.<br>Captions: Mps - microplastics; Mp/L - microplastics per liter; Mp/m2 - microplastics per square meter; Mp/m³ - microplastics per cubic meter; n.d. - Not determined; μm - microns; mm - millimeters.<br></span></p>
Supplementary material, Figure S2 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Figure S2 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Figure S2. Drift current conditions recorded during microplastics collections in surface waters in the Santos Basin.<br>Caption: (A) current drift direction and speed 2020; (B) current drift direction and speed 2021.<br></span></p>
Supplementary material, Table S4 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Table S4 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Table S4. Most common types of microplastics.<br>Source: adapted from Gago et al. (2019).</p>
Supplementary material, Figure S1 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Figure S1 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Figure S1. Wind conditions recorded during microplastics collections in surface waters in the Santos Basin.</p> <p>Caption: (A) 2020 wind direction and speed; (B) 2021 wind direction and speed.</p>
Supplementary material, Table S1 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Table S1 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Table S1. Sampled and unsampled seasons over the summer and winter of 2020-2021.<br>Caption: SB, Santos Basin.<br></span></p>
Supplementary material, Table S2 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Table S2 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Table S2. Size ranges of marine anthropogenic litter.<br>Source: adapted from Gago et al. (2019).<br></span></p>
Supplementary material, Table S3 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Table S3 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Table S3. Most common colors of microplastics.<br>Source: adapted from Gago et al. (2019).<br></span></p> <p> </p>
Experimental and Computational data related to research on ``Investigating the Electronic Structure of Prospective Water-splitting Oxide BaCe0.25Mn0.75O3−δ Before and After Thermal Reduction''
<p>Data files and gnuplot scripts for the figures included in the submission titled ``<strong>Investigating the Electronic Structure of Prospective Water-splitting Oxide BaCe<sub>0.25</sub>Mn<sub>0.75</sub>O<sub>3−δ </sub>Before and After Thermal Reduction''</strong></p>
Supporting data for: Quantitative visualization of two-phase flow in a fractured porous medium, Water Resources Research
<p>This dataset includes experimental images and data processing scripts used to generate the results detailed in the paper titled: Quantitative visualization of two-phase flow in a fractured porous medium and submitted to Water Resources Research.</p>
Response of water isotopes in precipitation to a collapse of the West Antarctic Ice Sheet in high-resolution simulations with the Weather Research and Forecasting Model
<p>This archive includes data and ipython notebooks to create the figures for the manuscript "Response of water isotopes in precipitation to a collapse of the West Antarctic Ice Sheet in high-resolution simulations with the Weather Research and Forecasting Model" submitted to Journal of Climate in August 2022.</p> <p>Model output from WRFwiso and iCAM is in data.zip (saved as monthly means)</p> <p>Notebooks and python modules are in scripts.zip</p> <p>Required python packages (all included in environment.yml):</p> <ul> <li>numpy</li> <li>matplotlib</li> <li>netcdf4</li> <li>basemap</li> <li>scipy</li> <li>wrf-python</li> <li>windspharm</li> <li>metpy</li> <li>intergrid</li> <li>cmocean</li> </ul> <p>Version 1 is the original upload from the first submission.</p> <p>Version 2 includes small updates of the data and scripts from the revision.</p>
The dataset for water vapor research in margin of desert, arid and semi-arid area in northwestern China
<p>The dataset for water vapor research in margin of desert, arid and semi-arid area in northwestern China</p>
Data of paper "Predicting Transverse Mixing Efficiency Downstream of a River Confluence by Pouchoulin et al. (Water Resources Research)"
<p>Here is the dataset of velocity (ADCP) & conductivity (CTD) masured over the three surveys and at each cross-section of the Soane Rhone confluence at Lyon (France), as presented by "Pouchoulin et al. Predicting Transverse Mixing Efficiency Downstream of a River Confluence, Water Ressources Research"</p>
Schönberg, J., Böhm-Beck, M., Trdan, Š., Grego, M., Knoblauch, D., Hinzmann, M., Dittmann, S., Knickmeier, K., Robič, U., Thiel, M., Kiessling, T., 2025. Public participation in EU legislation? Recommendations for involving citizen scientists in anthropogenic litter research within the Water Framework Directive.
<p>Research data and figures to the manuscript "Public participation in EU legislation? Recommendations for involving citizen scientists in anthropogenic litter research within the Water Framework Directive" by Schönberg et al. 2025</p>
CAT, TD, ADCP data for CAT research paper to be published in Journal of Water Resource Research
<p>This file contain experiment data obtained in Huangcai reservoir, Hunan, China in September, 2020. The field experiment aimed to reconstruct multi-layer current field using three-dimensional inversion technique to visualize spatiotemporal current structure.</p>
FIGURE 1. The Research Vessel B in Deep-water bony fishes collected by the B/O Miguel Oliver on the shelf edge of Pacific Central America: an annotated, illustrated and DNA-barcoded checklist
FIGURE 1. The Research Vessel B/O Miguel Oliver; photo MAPAMA.
Figure 2 from: Kelly-Quinn M, Bruen M, Carlsson J, Gurnell A, Jarvie H, Piggott J (2019) Managing the small stream network for improved water quality, biodiversity and ecosystem services protection (SSNet). Research Ideas and Outcomes 5: e33400. https://doi.org/10.3897/rio.5.e33400
Figure 2 Schema illustrating the eight work packages in SSNet and their linkages. Note: stakeholder engagement occurs throughout the project particularly in relation to the recommendations relating to the management of the small stream network.
Fig 6 from: Tanaka S, Kotaki T, Nishide Y, Ben-Hamouda A, Abdellaoui K, Ebbe MAB, Ely SO (2019) Effects of water extracts of feces from three locust species and various plants on oviposition and embryonic development in the desert locust Schistocerca gregaria. Journal of Orthoptera Research 28(2): 195-204. https://doi.org/10.3897/jor.28.34665
Fig 6 Effects of water extracts of frass produced by desert locusts (Sg), migratory locusts (Lm), and Bombay locusts (Ns) fed with rescue grass leaves on the number of A. Egg pods and B. Holes dug by adult desert locusts presented with extracts mixed with sand. Three cups containing frass extracts of the three locust species were simultaneously presented to locusts in each of two locust cages (light and dark histograms) for seven days. Numbers in parentheses indicate the total numbers of days observed. Bars on histograms indicate one standard deviation. Different letters in each comparison (light or dark histograms) in (A) indicate significant differences at the 5% level with Tukey's multiple comparison test. n.s. indicates no significant differences in each comparison with ANOVA (light or dark histograms).
Fig 5 from: Tanaka S, Kotaki T, Nishide Y, Ben-Hamouda A, Abdellaoui K, Ebbe MAB, Ely SO (2019) Effects of water extracts of feces from three locust species and various plants on oviposition and embryonic development in the desert locust Schistocerca gregaria. Journal of Orthoptera Research 28(2): 195-204. https://doi.org/10.3897/jor.28.34665
Fig 5 Effects of water extracts of frass produced by A, B. Bombay locusts and C, D. Migratory locusts fed with rescue grass leaves on the numbers of egg pods laid (A, C) and holes dug (B, D) by adult female desert locusts presented with extracts mixed with sand. Two cups containing frass extract (treated) and water (control) were simultaneously presented to locusts in each of two locust cages, and the data were combined. Numbers in parentheses indicate the total numbers of days observed. Bars on histograms indicate one standard deviation. Asterisks indicate significant differences at the 5% level with a t-test. n.s. indicates no significant difference.
Fig 2 from: Tanaka S, Kotaki T, Nishide Y, Ben-Hamouda A, Abdellaoui K, Ebbe MAB, Ely SO (2019) Effects of water extracts of feces from three locust species and various plants on oviposition and embryonic development in the desert locust Schistocerca gregaria. Journal of Orthoptera Research 28(2): 195-204. https://doi.org/10.3897/jor.28.34665
Fig 2 Effects of water extracts of frass obtained from lab-reared desert locust fed with romaine lettuce in Tunisia on the number of A. Egg pods laid and B. Holes dug by adult female desert locusts presented with sand mixed with frass extracts. Two cups containing frass extracts (treated) and water (control) were simultaneously presented to locusts in each of two locust cages for seven or eight days, and the data were combined. Numbers in parentheses indicate the total numbers of days observed. Asterisks indicate a significant difference at the 5% level with a t-test. n.s. indicates no significant difference.
ScienceDex guides
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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.