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38 results for “Water pollution”

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zenodo44/100

Sonic Kayaks geolocated air pollution, water turbidity, temperature and hydrophone analysis

<p>These data sets are the result of five trips using <a href="https://fo.am/activities/kayaks/">Sonic Kayaks</a> to collect data as part of the <a href="https://actionproject.eu/">ACTION Project</a>. The sampling was carried out in the Penryn river, around Falmouth docks and the Helford estuary. A variety of sensors were used:</p> <ol> <li>Thermometer recording water temperature.</li> <li>PMS7003 air pollution sensor recording a variety of particulate sizes.</li> <li>DolphinEar DE PRO hydrophone for detecting noise pollution and biological signals.</li> <li>A custom turbidity sensor to detect changes in water cloudiness.</li> </ol> <p>The sound has been processed in this data set in order to classify sound sources from different boat engines. More information, source code and <a href="https://github.com/fo-am/sonic-kayaks/wiki">open hardware plans for construction can be found here</a>.</p>

opencc-by-4.0Sep 2020View details →
dryad40/100

Data from: Do the health benefits of boiling drinking water outweigh the negative impacts of increased indoor air pollution exposure?

<p><strong>Background: </strong>Billions of the world's poorest households are faced with the lack of access to both safe drinking water and clean cooking. One solution to microbiologically contaminated water is boiling, often promoted without acknowledging the additional risks incurred from indoor air degradation from using solid fuels.</p> <p><strong>Objectives: </strong>This modeling study explores the tradeoff of increased air pollution from boiling drinking water under multiple contamination and fuel use scenarios typical of low-income settings.</p> <p><strong>Methods: </strong>We calculated the total change in disability-adjusted life years (DALYs) from indoor air pollution (IAP) and diarrhea from fecal contamination of drinking water for scenarios of different source water quality, boiling effectiveness, and stove type. We used Uganda and Vietnam, two countries with a high prevalence of water boiling and solid fuel use, as case studies. </p> <p><strong>Results: </strong>Boiling drinking water reduced the diarrhea disease burden by a mean of 1110 DALYs and 368 DALYs per 10,000 people for adults and children &lt;5 years in Uganda, respectively, for high-risk water quality and the most efficient (lab-level) boiling scenario, with smaller reductions for less contaminated water and ineffective boiling. Similar results were found in Vietnam, apart from fewer avoided DALYs in children due to different demographics. In both countries, for households with high baseline IAP from existing solid fuel use, adding water boiling to cooking on a given stove was associated with a limited increase in IAP DALYs due to the log-linear dose-response curves. Boiling, even at low effectiveness, was associated with <em>net </em>DALY reductions for medium- and high-risk water, even if using unclean stoves/fuels. Replacing traditional stoves with improved stoves coupled with effective boiling practices significantly reduced total DALYs.   </p> <p><strong>Discussion: </strong>Boiling water generally resulted in a net decrease in DALYs. Future efforts should empirically measure health outcomes from IAP vs. diarrhea associated with boiling drinking water using field studies with different boiling methods and stove types.</p>

opencc-zeroMar 2024View details →
zenodo40/100

Fig. 524. Water pollution. A in Fig. 4 in Fig. 4 in Fig. 3 in Fig. 21. Sesarmops mora n in Paralbunea dayriti

Fig. 524. Water pollution. A: Qasemlo chay, type locality of Alburnoides petrubanarescui, which is not longer found here; B: Kalibar chay, natural habitat of six native species. C: Fish poisoning by chemical pollution in Kalibar River. D: Washing a carpet next to the Qarasu River.

opencc-by-4.0Jun 2020View details →
zenodo40/100

Data from "Participatory research to monitor lake water pollution"

<p>Data from&nbsp;<strong>Participatory research to monitor lake water pollution</strong></p> <p>Authors:&nbsp; Rachel Aronoff(1*), Anna Dussuet(1,2**) Roger Erismann(1,3), Shannon Erismann(3), Luc Patiny(1,2) and Carlos Vivar-Rios(1,4)</p> <p>Affiliations:&nbsp;</p> <p>1) Hackuarium, Ecublens, Switzerland.</p> <p>2) EPFL, Lausanne, Switzerland.</p> <p>3) Hammerdirt, La Tour-de-Peilz, Switzerland.</p> <p>4) UNIL, Lausanne, Switzerland.</p> <p>* corresponding author: biolab@hackuarium.ch</p> <p>** currently at Integra LifeSciences</p> <p>&nbsp;</p> <p>Article DOI: 10.1002/2688-8319.12094</p> <p>Article: Participatory research to monitor lake water pollution<br> Journal: Ecological Solutions and Evidence&nbsp;</p> <p>&nbsp;</p> <p>This Zenodo Repository includes data for:</p> <p>images -&nbsp;microbial plates and more, from 2016, 2017 and 2020.</p> <p>sequences - in particular the 16S results to ID bacteria, provided in a zipped folder: MCBP_Sequences.zip</p> <p>analysis tool items for quantitation and statistics and the data repository from the GitHub repo:&nbsp;</p> <p>https://github.com/Hackuarium/montreux-water-quality</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2021View details →
zenodo40/100

Water pollution in Höfen and COVID-19 cases in Austria

<p>Dataset used for the project &quot;Analysis of correlation between water pollution in H&ouml;fen and Covid-19 cases in Austria, 2020&quot;</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Analysis of correlation between water pollution in Höfen and Covid-19 cases in Austria, in 2020 dataset

<p>Dataset about water pollution in H&ouml;fen and COVID-19 cases in Austria, in 2020. The measured water pollution corresponds to the daily COVID-19 cases and deaths.</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Compilation of chemical pollution monitoring data for the water of mountain lakes

<p>Compilation of chemical pollution monitoring data for the water of mountain lakes. Includes data for wide variety of chemical pollutants and mountain lakes from all over the world. A toxic unit (TU) based approach was used to assess the mixture toxic risks of the compiled monitoring data for each respective lake.Data will be part of an review investigating the risk for mountain lakes by chemical pollution.</p>

opencc-by-4.0Aug 2022View details →
zenodo36/100

State of Nature layers for Water Availability and Water Pollution to support SBTN Step 1: Assess and Step 2: Interpret & Prioritize

<p>There are multiple well-recognized and peer-reviewed global datasets that can be used to assess water availability and water pollution. Each of these datasets are based on different inputs, modeling approaches, assumptions, and limitations. Therefore, in SBTN Step 1: Assess and Step 2: Interpret &amp; Prioritize, companies are required to consult different global datasets for a robust and comprehensive State of Nature (SoN) assessment for water availability and water pollution.&nbsp;</p> <p>To streamline this process, WWF, the World Resources Institute (WRI), and SBTN worked together to develop two ready-to-use unified layers of SoN &ndash; one for water availability and one for water pollution &ndash; in line with the <a href="https://sciencebasedtargetsnetwork.org/resources/" target="_blank" rel="noopener">Technical Guidance for Steps 1: Assess and Step 2: Interpret &amp; Prioritize</a> (July 2024). The main outputs contain the maximum values of Water Availability and of Water Pollution as well as the individual indicators' values. This information is available at different spatial resolutions, thus in two data formats: 1) a shapefile with values at HydroBasins (Pfafstetter level 6); and 2) an excel file with values at sub-national divisions (Adm1) and national divisions (Adm0). These datasets and complete documentation are publicly available for download below.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Potential for shoreline recession to accelerate discharge of groundwater pollutants to coastal waters

<p>Included in this repository are supporting field data used to produce the results of the manuscript submitted to Water Resources Research:</p> <p>Sabina Rakhimbekova, Christopher Power, Denis M. O&rsquo;Carroll, Clare E. Robinson, (2023) &quot;<strong>Potential for shoreline recession to accelerate discharge of groundwater pollutants to coastal waters&quot;</strong></p>

opencc-by-4.0Jan 2023View details →
zenodo36/100

Permeable Curbs for Storm Water Pollution

<p>One of the problems that increased urbanization poses is storm water pollution. Several control measures exist that are used to treat and reduce pollution in our waterways, one of those being permeable concretes; but these have not been widely adopted.&nbsp; The goal of this project was to develop a permeable curb apparatus that could be used in retrofitting conventional streets. The permeable curb is comprised of a permeable concrete mix with a perforated pipe running through its center, this allows for water to filter through the porous concrete and continue downstream through the perforated pipe which would eventually lead to our water ways. Project goals include determining permeable curbs pollutant removal efficiencies, and best cleaning options needed to be optimally utilized in urban environments. A test apparatus simulating a typical street profile is used in the laboratory environment to determine the percentage of solids that can be removed from the water treated for typical design rain events, the potential for clogging and fouling of the curb, and the ability to recover lost performance through cleaning the permeable curb. Results to date show that 95% solids removal is possible for up to 15 years of simulated solids loading to the curb. The diameter size range of the 5% of solids that do pass through the curb were measured to be in the range of 2 - 55 mm. Particle sizes larger than this tend to be caught within the curb and contributed eventually to curb clogging resulting in reduced hydraulic flow capacity.&nbsp; Cleaning cycles of the curb at a moderate backwash rate of 0.1 m<sup>3</sup> m<sup>-2&shy;</sup> min<sup>-1</sup> did not recover solids trapped within the curb with only 7 % of the prior trapped solids removed from the curb in the cleaning process.</p>

opencc-by-4.0Oct 2022View details →
dryad36/100

A unified approach to quantifying the key greenhouse gas emissions, air pollutant emissions, and water demand in concrete production

Open the record for dataset details and reuse information.

publicDec 2022View details →
dryad36/100

An integrated assessment of microplastic pollution in coastal surface water and sediment of Japan

Open the record for dataset details and reuse information.

publicMar 2025View details →
zenodo32/100

Evaluation of effect of Bilvadi Jala Nirvishikaran Yoga (Polyherbal Formulation in Ayurveda) in different samples of poisoned and polluted water.

Open the record for dataset details and reuse information.

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

European demonstration program on the effect-based and chemical identification and monitoring of organic pollutants in European surface waters - Supporting Material

<p>This data contains the supporting material of the publicaiton <a href="https://www.sciencedirect.com/science/article/pii/S0048969717314365">European demonstration program on the effect-based and chemical<br> identification and monitoring of organic pollutants in European surface waters.</a></p> <p>&nbsp;</p>

opencc-by-4.0Jun 2017View details →
zenodo32/100

Supplementary material, Figure S11 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 S11 from Hudson Carvalho Ferreira and Gisele L&ocirc;bo-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 S11. Comparison between the sizes of microparticles collected in surface waters in the Santos Basin during winter and summer in the period 2020-2021.<br>Caption: SB, Santos Basin. S, Summer. W, Winter.</p>

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

Supplementary material, Figure S10 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 S10 from Hudson Carvalho Ferreira and Gisele L&ocirc;bo-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 S10. Relative distribution of different sizes of microparticles collected in surface waters in the Santos Basin in the period 2020-2021.<br>Caption: SB, Santos Basin.</p>

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

Supplementary material, Figure S9 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 S9 from Hudson Carvalho Ferreira and Gisele L&ocirc;bo-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 S9. Color distribution of microparticles collected during the winter and summer in surface waters of the Santos Basin in the period 2020-2021.<br>Caption: SB, Santos Basin. S, Summer. W, Winter.</p>

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

Supplementary material, Figure S8 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 S8 from Hudson Carvalho Ferreira and Gisele L&ocirc;bo-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 S8. Distribution of the concentration of items and colors of particles at each sampling point in surface waters collected in the Santos Basin in the period 2020-2021.<br>Caption: SB, Santos Basin.</p>

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

Supplementary material, Figure S7 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 S7 from Hudson Carvalho Ferreira and Gisele L&ocirc;bo-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 S7. Morphological abundance of particles in surface waters collected in the Santos Basin in the period 2020-2021 during winter and summer.<br>Caption: SB, Santos Basin. S, Summer. W, Winter.</p>

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

Supplementary material, Figure 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>Supplementary material, Figure S5 from Hudson Carvalho Ferreira and Gisele L&ocirc;bo-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 S5. Volume distribution of microparticles in surface water samples collected in the Santos Basin in the period 2020-2021 by sampling point.<br>Caption: SB, Santos Basin.</p>

opencc-by-4.0Aug 2024View 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