cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/r7rj4gdp
title: gSSURGO-based Floodplain Maps of Missouri

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for Missouri. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7w66hr4
title: gSSURGO-based Floodplain Maps of Mississippi

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for Mississippi. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7ms3qqd
title: gSSURGO-based Floodplain Maps of Montana

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for Montana. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7g15xt5
title: gSSURGO-based Floodplain Maps of North Carolina

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for North Carolina. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7b85637
title: gSSURGO-based Floodplain Maps of North Dakota

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for North Dakota. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7h12zzj
title: gSSURGO-based Floodplain Maps of Nebraska

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for Nebraska. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r77h1ghw
title: gSSURGO-based Floodplain Maps of New Hampshire

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for New Hampshire. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r73r0qtm
title: gSSURGO-based Floodplain Maps of New Jersey

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for New Jersey. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7028pgx
title: gSSURGO-based Floodplain Maps of New Mexico

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for New Mexico. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7c8277m
title: gSSURGO-based Floodplain Maps of Nevada

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for Nevada. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7v9861g
title: gSSURGO-based Floodplain Maps of New York

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for New York. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r76h4fdz
title: gSSURGO-based Floodplain Maps of Ohio

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for Ohio. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r72v2d2h
title: gSSURGO-based Floodplain Maps of Oklahoma

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for Oklahoma. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7z31wmk
title: gSSURGO-based Floodplain Maps of Oregon

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for Oregon. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7tb14w7
title: gSSURGO-based Floodplain Maps of Pennsylvania

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for Pennsylvania. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7pk0d4g
title: gSSURGO-based Floodplain Maps of Rhode Island

description: &lt;p&gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to &lsquo;muaggatt&rsquo; and &lsquo;component&rsquo; tables, map unit polygons are selected by the following two queries: (1) &quot;geomdesc&quot; LIKE &#39;%flood%&#39; AND &quot;comppct_r&quot; &gt;= 85) OR &quot;taxsubgrp&quot; LIKE &#39;%fluv%&#39;; (2) &ldquo;muname&quot; =&#39;Water&#39; OR &quot;flodfreqdcd&quot; in (&#39;Rare&#39;, &#39;Occasional&#39;, &#39;Frequent&#39;, &#39;Very Frequent&#39;)&quot;. The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)&lt;/p&gt;
description: This dataset provides a shapefile showing the natural floodplain for Rhode Island. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).