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Updated: Dec 25, 2025
08:17
Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS
Published on: March 3, 2017
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The Louisiana Community Oil Spill Survey (COSS) dataset
Michael R Cope1, Tim Slack2, Troy C Blanchard2
1Brigham Young University, United States.
Data in Brief
|March 28, 2020
Summary
The Louisiana Community Oil Spill Survey (COSS) tracked coastal residents' experiences after the 2010 Deepwater Horizon disaster. This dataset provides valuable insights into community impacts over time.
Area of Science:
- Environmental Science
- Sociology
- Disaster Studies
Background:
- The 2010 Deepwater Horizon (BP-DH) oil spill significantly impacted coastal Louisiana communities.
- Understanding the long-term effects on residents is crucial for disaster response and recovery.
Purpose of the Study:
- To introduce and describe the Louisiana Community Oil Spill Survey (COSS) dataset.
- To detail the methodology and scope of data collection on community sentiment post-oil spill.
Main Methods:
- The COSS dataset comprises five waves of cross-sectional trend data.
- Data were collected from randomly selected households in affected Louisiana parishes (June 2010–April 2013).
- Surveys captured resident characteristics and perceived effects of the BP-DH oil spill.
Main Results:
- The survey collected data over five distinct time points, reflecting evolving community sentiment.
- Response rates varied across the five data collection waves, ranging from 19% to 25%.
Conclusions:
- The COSS dataset offers a valuable resource for studying community resilience and recovery following major environmental disasters.
- Longitudinal data from COSS can inform future disaster preparedness and mitigation strategies.
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