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8 results for “pollution mitigation”

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zenodo40/100

Dataset for paper "Marked impacts of pollution mitigation on crop yields in China"

<p>&quot;corn.csv&quot;, &quot;winterwheat.csv&quot; and &quot;midlatepaddy.csv&quot; report&nbsp;historical crop yield (unit: kg/hectare)of corn, winter wheat and single cropping&nbsp;rice in China.&nbsp;<br> &quot;regression.ipynb&quot; contains python code to (i) derive the sensitivity of crop yield to climate and pollution variables (ii) compare predicted yield vs. observed yield (iii) calculate the relative contribution of individual climate and pollution variables to inter-annual variations of crop yield. Here we provide the complete datasets for corn in file &ldquo;organized_data_corn.csv&rdquo;, which includes air temperature at 2m (t2m), precipitation (tp), aerosol optical depth (aod) and surface ozone (o3) for plant season (plant), growing season (mid) and harvest season (harvest). Please contact us if you are interested in datasets of other two crop species.</p>

opencc-by-4.0Oct 2022View details →
zenodo32/100

Supporting data for ''Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions"

<p>Supporting data for our work on Nature Climate Change. You will find:</p> <p>&nbsp;- python codes for generating the plots in the manuscript.</p>

opencc-by-4.0Jul 2023View details →
dryad28/100

Pollution control can help mitigate future climate change impacts on European grayling in the UK

<p><span><u>Aim</u></span></p> <p><span>We compare the performance of habitat suitability models using climate data only or climate data together with water chemistry, land cover and predation pressure data to model the distribution of European grayling (<i>Thymallus thymallus</i>). From these models, we (1) investigate the relationship between habitat suitability and genetic diversity; (2) project the distribution of grayling under future climate change and (3) model the effects of habitat mitigation on future distributions.  </span></p> <p><span><u>Location</u></span></p> <p><span>United Kingdom</span></p> <p><span><u>Methods</u></span></p> <p><span>Maxent species distribution modelling was implemented using a Simple model (only climate parameters) or a Full model (climate, water chemistry, land-use and predation pressure parameters).  Areas of high and low habitat suitability were designated. Associations between habitat suitability and genetic diversity for both neutral and adaptive markers were examined. Distribution under minimal and maximal future climate change scenarios was modelled for 2050, incorporating projections of future flow scenarios obtained from the Centre for Ecology and Hydrology. To examine potential mitigation effects within habitats, models were run with manipulation of orthophosphate, nitrite and copper concentrations. </span></p> <p><span><u>Results</u></span></p> <p><span>We mapped suitable habitat for grayling in the present and the future. The full model achieved substantially higher discriminative power than the Simple model. For low suitability habitat, higher levels of inbreeding were observed for adaptive, but not neutral loci.  Future projections predict a significant contraction of highly suitable areas. Under habitat mitigation, modelling suggests that recovery of suitable habitat of up to 10% is possible.</span></p> <p><span><u>Main conclusions</u></span></p> <p><span>Extending the climate-only model improves estimates of habitat suitability. Significantly higher inbreeding coefficients were found at immune genes, but not neutral markers in low suitability habitat indicating a possible impact of environmental stress on evolutionary potential. The potential for habitat mitigation to alleviate distributional changes under future climate change is demonstrated and specific recommendations are made for habitat recovery on a regional basis.</span></p>

opencc-zeroJan 2021View details →
dryad28/100

Data from: Mollusc-shell debris can mitigate the deleterious effects of organic pollution on marine sediments

Organic pollution is widespread in coastal areas and can have profound impacts on the seabed. Coastal sediments play an important role at a global scale in the recycling of organic matter, and this process is influenced by the habitat complexity of the sediments, among other factors. Mollusc shells are produced as a waste product from a range of anthropogenic activities, but we demonstrate that they can be used to increase the habitat complexity of sediments. We studied the effect of mussel-shell debris (shell-hash) on the biogeochemical processes of marine sediments affected by organic pollution, using a mesocosm experiment simulating the bioturbation effects of macrofauna. We found that shell-hash improved the ecological status of organically polluted sediments by reducing the accumulation of sulphide from anaerobic metabolic pathways. Additionally, when shell-hash was present in an organically polluted sediment, there was a decrease in ammonium release to the water column, thus preventing the negative ecological consequences of eutrophication. Synthesis and applications. Our study indicates that shell-hash debris can be used as a potential tool to mitigate the effects of organic enrichment on marine sediments. A density of shell-hash debris of 1900 g m−2 in the sediment can diminish toxic by-products (sulphides and ammonium) derived from the stimulation of anaerobic metabolic pathways by organic pollution, at levels that are biologically relevant. The mitigation effect of shell-hash is more pronounced in sediments where macrofauna is not present.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Mollusc-shell debris can mitigate the deleterious effects of organic pollution on marine sediments

Open the record for dataset details and reuse information.

publicJul 2017View details →
dryad28/100

Pollution control can help mitigate future climate change impacts on European grayling in the UK

Open the record for dataset details and reuse information.

publicJan 2021View details →
ClinicalTrials.gov24/100

Coated or Chewable Aspirin and a Hybrid Strategy to Mitigate Adverse Effects of Air Pollution in Stable Atherosclerotic Disease

ClinicalTrials.gov study NCT06541691. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

The Use of L-arginine to Mitigate the Cardiovascular Effects of Exposure to Traffic-related Air Pollution

ClinicalTrials.gov study NCT03433963. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View 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

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