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Found 4118 dataset(s) matching "condition monitoring".
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In order to accurately assess the initial affects of bleaching events, and to assess coral condition during and after bleaching events, the Florida Keys BleachWatch program coordinates a large...
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In order to accurately assess the initial affects of bleaching events, and to assess coral condition during and after bleaching events, the Florida Keys BleachWatch program coordinates a large...
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In order to accurately assess the initial affects of bleaching events, and to assess coral condition during and after bleaching events, the Florida Keys BleachWatch program coordinates a large...
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Save is a framework for implementing highly available network-accessible services. Save consists of a command-line utility and a small set of extensions for the existing Mon monitoring utility....
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This data file contains the data used to produce the manuscript "Quantifying coastal ecosystem condition and a trophic state index with a Bayesian analytical framework" The data were obtained...
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Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is a natural laboratory for research on runoff-initiated debris flows (Coe et al., 2010). In 2019, there were two monitoring...
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The Southeast Coast Network (SECN) initiated a pilot program using the Variable-radius circular plot point count method as a way to establish a quality-control method for data collected via...
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The Southeast Coast Network (SECN) initiated a pilot program using the Variable-radius circular plot point count method as a way to establish a quality-control method for data collected via...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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nv_lvl1_finescale: Nevada hierarchical cluster level 1 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
