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https://github.com/zavalab/JuliaBox/tree/master/HiddenImpacts This folder provides supporting codes for the paper "Valuing Economic Impact Reductions of Nutrient Pollution from Livestock...
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Digital aerial photographs of the Buffalo National River in northern Arkansas were acquired on August 24, 2021 to support research on remote sensing of benthic algae. The images included in this...
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The data set contains data required to obtain the composition probability density distribution results of digestate composition, model validation, Monte Carlo simulation samples for digestate...
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The data set contains data required to run the logistics network, nutrient fate and transport, and algae growth models: geographical nodes, nutrient and product demand data, nutrient limit in...
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https://github.com/gruizmer/COW2NUTRIENT/tree/master/ToolPaper_DataFiles * These folders supply supporting datasets for the manuscript "COW2NUTRIENT: An environmental GIS-based decision support...
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Through the use of satellite imagery and spectral indices, remote sensing technology can be used to detect a variety of environmental phenomena. Researchers have developed spectral indices –...
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Data used to create the tables and figures in manuscript PMC11861646. Citation information for this dataset can be found in Data.gov's References section.
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The dataset contains additional information, including links, specifying the cost of different methods that can be used to detect harmful algal blooms.
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Algae are photosynthetic aquatic organisms that can form large mats called blooms during favorable environmental conditions. Certain species of algae can produce toxins, which cause a phenomenon...
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Harmful algal blooms (HABs) are an ongoing concern throughout the world and pose a threat to Bureau of Reclamation’s (BOR) mission in protecting water. Understanding and developing effective...
Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: January 06, 2026 at 09:02 PM