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datasets available to search
ShareScore release 0.9.0
Dataset results
37 results for “Deepwater Horizon”
Data from: Fluctuating asymmetry in Menidia beryllina before and after the 2010 DeepWater Horizon oil spill
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Data from: Genetic and epigenetic variation in Spartina alterniflora following the Deepwater Horizon oil spill
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Molecular profiles in red drum (Sciaenops ocellatus) larvae exposed to Deepwater Horizon oil
GEO Series GSE120671. Sciaenops ocellatus. 48 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Transcriptomic responses to Deepwater Horizon oil in mahi-mahi (Coryphaena hippurus) embryos reveals time and oil-dependent linkages between molecular initiating events and developmental toxicity
GEO Series GSE79675. Coryphaena hippurus. 32 samples. Type: Expression profiling by high throughput sequencing.
MicroRNA profiles in red drum (Sciaenops ocellatus) larvae exposed to Deepwater Horizon oil
GEO Series GSE120670. Sciaenops ocellatus. 24 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Dose-responsive transcriptomic profiles in red drum (Sciaenops ocellatus) larvae exposed to Deepwater Horizon oil
GEO Series GSE119934. Sciaenops ocellatus. 24 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide transcriptional responses to Deepwater Horizon oil in red drum (Sciaenops ocellatus) embryos and larvae
GEO Series GSE90113. Sciaenops ocellatus. 36 samples. Type: Expression profiling by high throughput sequencing.
Exposure to Deepwater Horizon Oil and Corexit 9500 at Low Concentrations Induces Transcriptional Changes and Alters Immune Transcriptional Pathways in Sheepshead Minnows
GEO Series GSE98348. Cyprinodon variegatus. 38 samples. Type: Expression profiling by array.
Data from: Spatially explicit assessment of estuarine fish after Deepwater Horizon oil spill: tradeoffs in complexity and parsimony
Evaluating long-term contaminant effects on wildlife populations depends on spatial information about habitat quality, heterogeneity in contaminant exposure, and sensitivities and distributions of species integrated into a systems modeling approach. Rarely is this information readily available, making it difficult to determine the applicability of realistic models to quantify population-level risks. To evaluate the trade-offs between data demands and increased specificity of spatially explicit models for population-level risk assessments, we developed a model for a standard toxicity test species, the sheepshead minnow (Cyprinodon variegatus) exposed to oil contamination following the Deepwater Horizon oil spill and compared the output with various levels of model complexity to a standard risk quotient approach. The model uses habitat and fish occupancy data collected over five sampling periods throughout 2008-2010 in Pensacola and Choctawhatchee Bays, Florida, to predict species distribution, field-collected and publically available data on oil distribution and concentration, and chronic toxicity data from laboratory assays applied to a matrix population model. The habitat suitability model established distribution of fish within Barataria Bay, Louisiana, and the population model projected the dynamics of the species in the study area over a five-year period (October 2009 – September 2014). Vital rates were modified according to estimated contaminant concentrations to simulate oil exposure effects. To evaluate the differences in levels of model complexity, simulations varied from temporally and spatially explicit, including seasonal variation and location-specific oiling, to simple interpretations of a risk quotient derived for the study area. The results of this study indicate that species distribution, as well as spatially and temporally variable contaminant concentrations, can provide a more ecologically relevant evaluation of species recovery from catastrophic environmental impacts but might not be cost-effective or efficient for rapid assessment needs.
Data from: Spatially explicit assessment of estuarine fish after Deepwater Horizon oil spill: tradeoffs in complexity and parsimony
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Measurements during the Deepwater Horizon Oil Spill in the Gulf of Mexico (GOM)
Measurements made in the Gulf of Mexico in 2010 during the Deepwater Horizon Oil Spill.
Transcriptome response to the Deepwater Horizon oil spill identifies novel candidate genes for oil tolerance in natural populations of the foundation plant Spartina alterniflora
GEO Series GSE114635. Sporobolus alterniflorus. 18 samples. Type: Expression profiling by array.
Regulation of microRNAs in response to Deepwater Horizon oil in mahi-mahi (Coryphaena hippurus) embryos at 3 different stages.
GEO Series GSE102966. Coryphaena hippurus. 27 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Dose-responsive transcriptomic profiles in mahi-mahi (Coryphaena hippurus) larvae exposed to Deepwater Horizon oil (mRNA profiles)
GEO Series GSE116639. Coryphaena hippurus. 21 samples. Type: Expression profiling by high throughput sequencing.
Microarray data from zebrafish embryos (ZFE) exposed for 48-hr periods to oil emulsions collected from GoM shoreline sites following the Deepwater Horizon blowout.
GEO Series GSE52873. Danio rerio. 11 samples. Type: Expression profiling by array.
Microarray data from zebrafish embryos (ZFE) exposed (for 48-96 hr periods and assessed 8 days post-fertilization) to oil emulsions collected from GoM shoreline sites following the Deepwater Horizon b
GEO Series GSE52874. Danio rerio. 3 samples. Type: Expression profiling by array.
Dose-responsive microRNA profiles in mahi-mahi (Coryphaena hippurus) larvae exposed to Deepwater Horizon oil
GEO Series GSE116711. Coryphaena hippurus. 21 samples. Type: Non-coding RNA profiling by high throughput sequencing.
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.