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50 results for “oil spill”
Data associated with the 2019 Freshwater Oil Spill Remediation Study (FOReSt) assessing the use of enhanced Monitored Natural Recovery (eMNR) and shoreline washing agent (SWA) of diluted bitumen spills conducted in shoreline enclosures at the IISD Experimental Lakes Area, ON, Canada from 2019 to 2020
The following package includes data from the 2019 Freshwater Oil spill Remediation Study (FOReSt) at the IISD Experimental Lakes Area studying the use of enhanced monitored natural recovery (eMNR) and shoreline washing agent (SWA) as a secondary remediation method for diluted bitumen spills in freshwater shoreline enclosures. This package includes data tables on polycyclic aromatic compound chemistry in water and sediments, basic water quality, nutrient chemistry, and tritium chemistry monitored in the experimental and reference enclosures, and lake reference sites over the duration of the study. Data included in this package was first collected and used in the paper by Palace et al., titled Polycyclic aromatic compounds in freshwater ecosystems following non-invasive remediation of controlled diluted bitumen spills: The Freshwater Oil Spill Remediation Study (FOReSt) at the Experimental Lakes Area, Canada.
The 2021 Freshwater Oil Spill Remediation Study (FOReSt), assessing the use of enhanced Monitored Natural Recovery (eMNR) of conventional heavy crude oil spills conducted in freshwater shoreline enclosures at the IISD Experimental Lakes Area, ON, Canada from 2021 to 2022.
The following package includes data from the 2021 Freshwater Oil spill Remediation Study (FOReSt) at the IISD Experimental Lakes Area studying the use of enhanced monitored natural recovery (eMNR) as a secondary remediation method for conventional heavy crude oil spills in freshwater shoreline enclosures. This package includes data tables on polycyclic aromatic compound chemistry in water and sediments, basic water quality, nutrient chemistry monitored in the experimental and reference enclosures, and lake reference sites over the duration of the study. As well as tables detailing enclosure metrics (depth), tritium chemistry, and a treatment key. Data included in this package was first collected and used in the paper by Stanley et al., titled Rapid Chemical Remediation of Freshwater Enclosures Treated with Conventional Heavy Crude Oil Spills Followed by Enhanced Monitored Natural Recovery
Disturbance and recovery of salt marsh arthropod communities in Louisiana and Mississippi following the 2010 BP Deepwater Horizon oil spill in the Gulf of Mexico
Oil spills represent a major environmental threat to coastal wetlands, which provide a variety of critical ecosystem services to humanity. The U.S. Gulf of Mexico is a hub of oil and gas exploration and production with recognized consequences on intertidal habitats, such as the salt marsh. Following the BP Deepwater Horizon oil spill, we sampled the marine invertebrate and the terrestrial arthropod community found in stands of Spartina alterniflora, the most abundant plant in coastal salt marshes, in 2010 as oil was washing ashore and a year later in 2011. In 2010, intertidal crabs and terrestrial arthropods (insects and spiders) were suppressed by oil exposure even in seemingly unaffected stands of plants; however, Littoraria snails appeared unaffected. One year later, crab and arthropods appeared to have largely recovered. Our work is the first attempt that we know of assessing vulnerability of the salt marsh arthropod community to oil exposure, and it suggests that arthropods are both quite vulnerable to oil exposure, and quite resilient, able to recover from exposure within a year if host plants remain healthy. BP's Deepwater Horizon spill in the Gulf Coast presented an opportunity to understand how stress from an oil spill might affect variables that we were measuring in the area. The study was conducted at sites in Louisiana and Mississippi. At each site, a 100m transect was sampled within 5m of the dead zone boundary. Sampling was conducted in August 2010 and August 2011. The number of sites and location of sites differed slightly among years.
100 geolocated oil spills in the Gulf of Guinea
<p>Shapefile containing 100 geolocated oil spills in the Gulf of Guinea and including oil spill from ship and oil spill from platform</p>
Data from: A robust model for the assessment of oil spill hazards over land and water bodies
<p>This repository contains all the data required to generate the results and figures reported in the article:</p> <p><strong>A robust model for the assessment of oil spill hazards over land and water bodies. </strong><br>Pablo Vallés, Sergio Martínez-Aranda, Reinaldo García & Pilar García-Navarro <br>Fluid Dynamic Technologies TFD-I3A, Universidad de Zaragoza, Spain, 2024</p> <p><strong>Author:</strong> Sergio Martínez Aranda<br><strong>Email: </strong>sermar@unizar.es</p> <p><strong>Summary of the content:</strong></p> <p>*FILE* BSLmodel_code.c : Implementation of the BSL model in the software OILFlow2D (Hydronia LLC)</p> <p>*ZIP-FOLDER* testOilChannel : Synthetic test 1: Oil spill over water channel with parabolic velocity profile<br> Contains:<br> *FILE* plotter2D.m : Matlab file for plotting the article figures<br> *FILE* readVTK_hu.m : Ad-hoc Matlab function for reading VTK files and extract arrays of x, y, h, modU variables at cells<br> *FOLDER* graphics : Contains the output figures for the article<br> *FILE* free_surface_profiles_impCent.mat : Matlab structure containing the water level results along the longitudinal center profile for all the cases tested<br> *FILE* vel_profiles_impCent.mat : Matlab structure containing the velocity results along the cross-section x=900m for all the cases tested<br> *FOLDER* hydro_shear_layer : Folder with the 2D hydrodynamics fields for the Bottom Shear Layer used in the simulations<br> *FOLDER* BSL_disabled : Folders containing the raw simulation results with the BSL model disabled <br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges <br> *FOLDERS* BSL_impCent_CdXpXXXX : Folders containing the raw simulation results with the BSL model enabled for different drag coefficients Cd<br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges<br> </p> <p>*ZIP-FOLDER* testOilBay : Synthetic test 2: Oil spill from land to a rotating water bay <br> Contains:<br> *FILE* plotter2D.m : Matlab file for plotting the article figures<br> *FILE* readVTK_zhvel.m : Ad-hoc Matlab function for reading VTK files and extract arrays of x, y, z, h, u, v variables at cells<br> *FOLDER* graphics : Contains the output figures for the article.<br> *FOLDER* hydro_shear_layer : Folder with the 2D hydrodynamics rotating fields, including VTK files, for the Bottom Shear Layer used in the simulations<br> *FOLDER* BSL_disabled : Folders containing the raw simulation results with the BSL model disabled <br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges <br> *FOLDERS* BSL_impCent_CdXpXXXX : Folders containing the raw simulation results with the BSL model enabled for different drag coefficients Cd<br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges<br> <br> <br>*ZIP-FOLDER* caseSpillTilenga : Realistic case: Oil spill hazard assessment in the White Nile - Tilenga Project <br> Contains:<br> *FILE* Qgis_project.qgz : Portable QGIS project for plotting the article figures<br> *FOLDER* geoData : Contains the georeferenced data used for the simulation setup<br> *FOLDER* images : Contains the output figures for the article<br> *FOLDER* hydro_shear_layer : Folder with the 2D hydrodynamics fields for the Bottom Shear Layer used in the simulations<br> *FOLDER* spills : Folders containing the OilFlow2D project files to perform the simulation of the six spill scenarios reported in the article <br> *FOLDERS* spill_XXX_XX : Folders containing raster files with the oil spreading results at different times for the six spill scenarios reported in the article </p>
The site of an experimental oil spill located at a freshwater wetland along the St. Lawrence River re-visited after 21 years
<p>In 1999 a wetland close to Ste. Croix de Lotibiniere (Quebec, Eastern Canada) and located along the St. Lawrence River was the site of a simulated oil spill. Test plots were set up, contaminated with crude oil and subsequently used to test natural attenuation, nutrient amendment or vegetation cropping as remediation treatments. In 2020, this study revisited the former test plots to investigate any lingering effects of the original Ste. Croix study. Test plot sediments and control sediments featured detectable quantities (75 - 165 g/kg) of mid-chain n-alkanes (C10-C36), but no other kinds of hydrocarbons. Differences in hydrocarbon, total organic carbon, nitrogen and phosphorous content were not significantly different between test plot sediments and control sediments. A microbial analysis did not detect significant differences in microbial load, microbial diversity or microbial community composition between test plot sediments and control sediments. Key genes for the aerobic and anaerobic degradation of n-alkanes as well as for the aerobic degradation of polycyclic aromatic hydrocarbons were detected in all sediment samples. Abundances of these genes did not differ significantly between formerly oil-contaminated sediments and control sediments. This study shows that after 21 years, previously oil-contaminated sediments of the Ste. Croix wetland can be considered completely remediated irrespective of the performed remediation treatment.</p> <p>In this file archive are included, metadata, metagenome co-assembly, functional and taxonomic annotations, contigs and genes abundance matrices and MAGs files.</p> <p>Raw Illumina sequence data was deposited in the NCBI SRA portal under accession PRJNA818909.</p>
iMAGINE UC4 - Segmented oil spills
<p>Segmented oil spills in shapefile format</p> <p>Temporal coverage: 12/05/2019 - 18/10/2022</p> <p>Spatial coverage: global</p> <p> </p>
Deepwater Horizon Oil Spill Simulations using COAWST Modeling System
<p>There are four netcdf files which are 6-hr model outputs from the Coupled Ocean-Atmosphere-Wave-Sediment-Transport (COAWST) modeling system. The simulations cover the period 21-04-2010 12:00:00:00 to 05-05-2010 00:00:00 UTC. The datasets are described below:</p> <p>DWH_No-oil_romsout.nc: surface temperature from ROMS for no oil simulation</p> <p>DWH_No-oil_wrfout.nc: selected variables from WRF for no oil simulation</p> <p>DWH_Oil_romsout.nc: surface temperature from ROMS for oil simulation</p> <p>DWH_Oil_wrfout.nc: selected variables from WRF for oil simulation</p> <p>These netcdf files can be read by matlab, ferret, and any other softwares which can read netcdf datasets.</p> <p> </p>
Decadal acoustic monitoring of toothed whales in the Gulf of Mexico post-oil spill
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Data from: Geohistorical records indicate no impact of the Deepwater Horizon oil spill on oyster body size
Documentation of the near- and long-term effects of the Deepwater Horizon (DWH) oil spill, one of the largest environmental disasters in US history, is still ongoing. We used a novel before-after-control-impact analysis to test the hypothesis that average body size of intertidal populations of the eastern oyster (Crassostrea virginica) inhabiting impacted areas in Louisiana decreased due to increased stress/mortality related to the oil spill. Time-averaged death assemblages of oysters were used to establish a pre-spill baseline of body-size structure for four impacted and four control locations along a 350 km stretch of Louisiana's coastline. Post-spill body sizes were then measured from live oysters at each site in order to evaluate the differences in body size between oiled (i.e. impact) and unoiled (i.e. control) locations before and after the spill. Our results indicate that average body size of oysters remained relatively unchanged after the oil spill. There were also no temporal patterns in temperature, salinity or disease prevalence that could have explained our results. Together, these findings suggest that oysters either recovered rapidly following the immediate impact of the DWH oil spill, or that its impact was not severe enough to influence short-term population dynamics of the oyster beds.
Qatar Peninsula' High Vulnerability to Oil Spills and its Implication for the Potential Disruption in Global Gas Supply (Datasets)
<p>Outputs of oil spill dispersal simulations performed backward in time using OpenDrift for the following study:</p> <p>Anselain, T., Heggy, E., Dobbelaere, T., & Hanert, E. (2022). Qatar Peninsula’ High Vulnerability to Oil Spills and its Implication for the Potential Disruption in Global Gas Supply. <em>Nature Sustainability</em>. In press.</p>
Supporting data for the manuscript entitled: Long-term biodegradation of oil under Arctic Conditions: the Baffin Island Oil Spill (BIOS) revisited after almost four decades.
<p>The potential of an unintentional oil spill from ships or upcoming oil development is rising as the Arctic warms up more. It is crucial to understand how oil behaves in this setting and what influences oil biodegradation in the Arctic. On Baffin Island in the Canadian High Arctic, the Baffin Island Oil Spill (BIOS) project staged a number of simulated oil spills on the backshore zone of beaches in the 1980s. Two BIOS sites were revisited in 2019, about 40 years after the first oil pollution, providing a unique chance to research the long-term weathering of crude oil in Arctic conditions. Here, we demonstrate that even after over 40 years, residual oil is still detectable at these locations. Oil at both locations seems to deteriorate relatively slowly, with estimated loss rates ranging from 1.8 to 2.7% annually and appearing to vary across the two locations. We also demonstrate how the locations' sediment microbial communities are still severely impacted by leftover oil, as seen by a decline in diversity, variations in microbial load, and an enrichment of reported oil-degrading bacteria in contaminated sediments. The most enriched putative oil degraders were found in non-oiled control sediments as well, indicating that these degraders are a normal component of the Arctic sediment microbiome even in the absence of oil. Reconstructed genomes of putative oil degraders indicate that only a portion of these degraders have unique adaptations for growth in psychrothermic environments. This study's findings taken together demonstrate that oil spills in the Arctic can linger and have a lasting, major impact on the environment for decades.</p>
Seychelles Plateau's oil spill vulnerability
<p>Supplementary material</p>
Habitat suitability modeling to predict the spatial distribution of cold-water coral communities affected by the Deepwater Horizon oil spill
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Data from: Geohistorical records indicate no impact of the Deepwater Horizon oil spill on oyster body size
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Data from: Transcriptome response of the foundation plant Spartina alterniflora to the Deepwater Horizon oil spill
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Data from: Evolutionary responses to crude oil from the Deepwater Horizon oil spill by the copepod Eurytemora affinis
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Data from: Fluctuating asymmetry in Menidia beryllina before and after the 2010 DeepWater Horizon oil spill
Assessing the impacts of the Deepwater Horizon oil spill with a dependable baseline comparison can provide reliable insight into environmental stressors on organisms that were potentially affected by the spill. Fluctuating asymmetry (small, non-random deviations from perfect bilateral symmetry) is an informative metric sensitive to contaminants that can be used to assess environmental stress levels. For this study, the well-studied and common Gulf of Mexico estuarine fish, Menidia beryllina, was used with pre and post-oil spill collections. Comparisons of fluctuating asymmetry in three traits (eye diameter, pectoral fin length, and pelvic fin length) were made pre and post-oil spill across two sites (Old Fort Bayou and the Pascagoula River), as well as between years of collection (2011, 2012)-one and two years, respectfully, after the spill in 2010. We hypothesized that fluctuating asymmetry would be higher in post-Deepwater Horizon samples, and that this will be replicated in both study areas along the Mississippi Gulf coast. We also predicted that fluctuating asymmetry would decrease through time after the oil spill as the oil decomposed and/or was removed. Analyses performed on 1135 fish (220 pre and 915 post Deepwater Horizon) showed significantly higher post spill fluctuating asymmetry in the eye but no difference for the pectoral or pelvic fins. There was also higher fluctuating asymmetry in one of the two sites both pre and post-spill, indicating observed asymmetry may be the product of multiple stressors. Fluctuating asymmetry decreased in 2012 compared to 2011. Fluctuating asymmetry is a sensitive measure of sub lethal stress, and the observed variability in this study (pre vs. post-spill or between sites) could be due to a combination of oil, dispersants, or other unknown stressors.
Data from: Spatio-temporal modelling of auk abundance after the Erika oil spill and implications for conservation
Species distribution models are widely used in applied ecology and conservation. While accounting for spatial dependences is now the rule, temporal dependences have rarely been dealt with explicitly. In this study, we analyse wintering auk distribution in the Bay of Biscay and English Channel and estimate changes in abundance within and between years while accounting for space–time dependencies. We then propose a retrospective estimate of the impact of the Erika oil spill that occurred in December 1999. Two series of extensive aerial surveys, repeated at intervals of 1–2 months, were carried out at a 10-year interval off the French Atlantic coast (2001–2002 and 2011–2012). Spatially and temporally explicit Bayesian models were fitted to these data to provide spatio-temporal predictions of auk abundance. These were then used to compare abundances within the area affected by the Erika oil spill two and twelve years after the catastrophe. The results showed that 1·55 million auks wintered in the study area in 2011–2012. The main wintering area was the English Channel (more than one million auks) but the Bay of Biscay also became an important area in the middle of winter (470 000 auks) owing to a strong southward shift in auk distribution. Two years after the catastrophe (2001–2002), the area affected by the Erika oil spill hosted a small proportion of auks of the Bay of Biscay – about 80 000 individuals. This number increased by more than three times 10 years later and reached 270 000 individuals, whereas no significant change was detected elsewhere. We suggest that it could result from a recovery after the extra-mortality induced by the Erika oil spill. Policy implications. This study identified major auk wintering areas, with abundances much higher than previously realized. Oil spills have occurred regularly in these areas, with major delayed impacts on auk breeding populations. The worst case scenario would be if a major oil spill occurred in the English Channel in February, when abundance reaches one million auks. Although such a disaster has not so far occurred, stricter policies on the transport of hydrocarbons should be implemented to prevent such a possibility.
Data from: Deepwater Horizon oil spill impacts on sea turtles could span the Atlantic
We investigated the extent that the 2010 Deepwater Horizon oil spill potentially affected oceanic-stage sea turtles from populations across the Atlantic. Within an ocean-circulation model, particles were backtracked from the Gulf of Mexico spill site to determine the probability of young turtles arriving in this area from major nesting beaches. The abundance of turtles in the vicinity of the oil spill was derived by forward-tracking particles from focal beaches and integrating population size, oceanic-stage duration and stage-specific survival rates. Simulations indicated that 321 401 (66 199–397 864) green (Chelonia mydas), loggerhead (Caretta caretta) and Kemp's ridley (Lepidochelys kempii) turtles were likely within the spill site. These predictions compared favourably with estimates from in-water observations recently made available to the public (though our initial predictions for Kemp's ridley were substantially lower than in-water estimates, better agreement was obtained with modifications to mimic behaviour of young Kemp's ridley turtles in the northern Gulf). Simulations predicted 75.2% (71.9–76.3%) of turtles came from Mexico, 14.8% (11–18%) from Costa Rica, 5.9% (4.8–7.9%) from countries in northern South America, 3.4% (2.4–3.5%) from the United States and 1.6% (0.6–2.0%) from West African countries. Thus, the spill's impacts may extend far beyond the current focus on the northern Gulf of Mexico.
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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.
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.