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The sustainable management of fisheries and aquaculture requires an understanding of how these activities interact with natural fish populations. GoPro cameras were used to collect an underwater video data set on and around shellfish aquaculture farms in an estuary in the NE Pacific from June to August 2017 and June to August 2018 to better understand habitat use by the local fish and crab communities. Images extracted from these videos were labeled to produce a data set that is suitable for use in training computer vision models. The labeled data set contains 77,739 images sampled from the collected video; 67,990 objects (fishes and crustaceans) have been annotated in 30,384 images (the remainder have been annotated as "empty"). The metadata of the data set also indicates whether a physical magenta filter was used during video collection to counteract reduced visibility. These data have the potential to help researchers address system-level and in-depth regional shellfish aquaculture questions related to ecosystem services and shellfish aquaculture interactions., (© 2023. The Author(s).)

Background: Overweight and obesity are also found among persons with type 1 diabetes., Objective: The present study examined which nutrients predict the body mass index (BMI), the waist-to-hip ratio (WHR) and the waist circumference (WC) of European persons with type 1 diabetes., Design: Cross-sectional, clinic-based study (EURODIAB Complications Study)., Subjects and Methods: Nutrient intakes (assessed by a 3-day dietary record) predicting measures of body weight (BMI, WHR and WC) were determined by stepwise forward regression analysis in 1458 males and 1410 females with type 1 diabetes (P< or =0.05 for inclusion)., Results: In men, a higher carbohydrate intake was a significant independent predictor for lower levels of BMI, WHR and WC, an increased saturated fat intake and a lower intake of cereal fibre predicted a higher WHR, a higher monounsaturated fat intake and a lower glycaemic index of the diet determined lower levels of WHR and WC, and a moderate consumption of alcohol determined an increased WC. In women, a higher carbohydrate intake predicted a lower BMI and a thinner WC, no alcohol consumption determined a lower BMI, and an increased intake of saturated fat and a lower consumption of cereal fibre were significant independent predictors for a higher WHR., Conclusions: A modified fat intake, an increase of carbohydrate and cereal fibre intake and a preferred consumption of low glycaemic index foods are independently related to lower measures of body weight in European persons with type 1 diabetes.