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Found 22 dataset(s) matching "Great Lakes Inventory and Monitoring Network".
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The geodatabase contains 13 relate tables that together provide updated and synchronized classifications to an existing vegetation map layer for each of the nine park units in the Great Lakes...
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The Great Lakes Inventory and Monitoring Network coordinates landbird monitoring in nine national park units. A standardized protocol published in 2010 and implemented across the Great Lakes...
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These datasets contain counts of diatom taxa in various long cores and surface samples from lake bottom sediments. Samples were collected as part of water quality monitoring activities by the...
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Both this geodatabase and its associated web map display the shoreline miles and water acres within the 88 ocean, coastal, and Great Lakes National Park units. The following feature classes are...
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This data package comprises discrete data collected for the Mojave Desert Network Inventory and Monitoring Program Streams and Lakes protocol. This protocol is designed to monitor the hydrologic...
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This data package comprises discrete data collected for the Mojave Desert Network Inventory and Monitoring Program Streams and Lakes protocol. This protocol is designed to monitor the hydrologic...
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These data provide beryllium-7 (7Be) and excess lead-210 (210Pbxs) activity for fine-grained, mobile, streambed sediment in the Black Creek, Indiana (IN) stream-channel network. This basin is...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
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This data package contains discrete data collected for the Mojave Desert Network Inventory and Monitoring Program (MOJN I&M) Selected Large Springs (SLS) protocol from 2012 to June 2025. This...
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The United States Geological Survey (USGS) - Science Analytics and Synthesis (SAS) - Gap Analysis Project (GAP) manages the Protected Areas Database of the United States (PAD-US), an Arc10x...
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The United States Geological Survey (USGS) - Science Analytics and Synthesis (SAS) - Gap Analysis Project (GAP) manages the Protected Areas Database of the United States (PAD-US), an Arc10x...
