The working condition dataset is assembled from: 1) the consortium of North American retailers is the Alliance for Bangladesh Worker Safety (Alliance), and 2) the consortium of European retailers is the Accord on Fire and Building Safety in Bangladesh (Accord). Both are legally binding consortiums, which aim to improve safety in Bangladeshi ready-made garment (RMG) factories. The inspection in each factory in Bangladesh was carried on Alliance and Accord. These factories supply North American and European retailers in the global supply chain.
Over the past two decades, severe mounta in pine beetle (MPB) outbreaks have affected several million hectares of forest in western North America. The extensive ecological and economic damage caused by widespread insect infestations make understanding the development and spread of MPB outbreaks critical. This study uses a time series of Landsat5 TM and Landsat7 ETM + images to map the spread of mortality due to MPB infestation in Arapaho–Roosevelt National Forest, Colorado, between 2003 and 2010. The Normalized Difference Vegetation Index (NDVI) and change in the Normalized Difference Moisture Index (NDMI) were used to classify red attack and non-red attack stands based on a maximum likelihood algorithm with manually selected training classes. The classification was validated by comparison with independent interpretations of aerial photography and high-resolution satellite imagery. The classification had good agreement (84.5–90.5% total accuracy). Cluster analysis for time series showed infestations originating in several different locations on the landscape early in the time series and subsequent infestations likely represent a combination of dispersal from outbreak populations and independent population growth. Analysis using conditional inference trees suggested that a combination of forest composition, topography, and dispersal predicted the distribution of MPB infestation on the landscape and that the importance of these variables changed as the outbreak developed. In early years, red attack was associated with forest and topographic characteristics known to influence susceptibility to MPB. Over time, beetle pressure became an increasingly important predictor of red attack, but in later years host tree availability played an important role in outbreak spread. If this pattern occurs consistently in MPB outbreaks, knowledge of these patterns could aid managers in targeting their efforts to reduce damage resulting from MPB outbreaks.
Contributors:Kahler, David M., Catherine F. Reynolds
This is a Google Earth file with additional geographic information for the randomized controlled study on the effect of ceramic water filter and silver-impregnated porous ceramic water treatment (MadiDrop) on child health.
This is a part of a study reported in a manuscript by: Joshua N. Edokpayi, Elizabeth T. Rogawski, David M. Kahler, Courtney Hill, Catherine Reynolds, Emanuel Nyathi, James A. Smith, John O. Odiyo, Amidou Samie, Pascal Bessong, Rebecca Dillingham.
The authors acknowledge the tireless work of the community field workers who installed interventions and collected all of the survey data. The authors also acknowledge A. Gaylord, N. Khuliso, S. Mammburu, K. McCain and E. Stinger, who performed much of the water quality analysis and T. Singh, who supported the laboratory analysis for inorganic materials.
Working from a sample of all consumer class actions filed in the Northern District of Illinois over the period 2010-2012 (totaling 510), this project reports and analyzes data on class actions under four federal consumer protection statutes, the Electronic Funds Transfer Act (EFTA) the Fair Credit Reporting Act (FCRA), the Fair Debt Collection Practices Act (FDCPA), and the Telephone Consumer Protection Act (TCPA).
Contributors:Wilbur, Henry, Church, Don, Bailey, Larissa, Hines, James, Kendall, Bill
These data are individual capture histories of tiger salamanders captured during a five year study of population dynamics and movements between elements of a metapopulation in Augusta County, Virginia. These data are the foundation of a publication by Don Church et al in ECOLOGY 2007.