cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/r7bk199r
title: Construction Time-Lapse of Mechanically Stabilized Earth Walls

description: &lt;p&gt;[[Video(http://www.youtube.com/watch?v=XESEECqZD-c)]]&lt;/p&gt;

&lt;p&gt;This video documents the construction process on six different Mechanically Stabilized Earth walls throughout the 2015 construction season. The MSE walls are located on US 31 between Carmel and Westfield, as part of the project to upgrade the existing signalized arterial to a grade-separated roadway conforming to Federal freeway standards.&lt;/p&gt;
description: This video documents the construction process of six different MSE walls.
DOI: 10.4231/r76t0jmg
title: Rotary Broom Test to Evaluate Temporary Rumble Strips Stability

description: &lt;p&gt;[[Video(http://www.youtube.com/watch?v=SLPaxAWJntg)]]&lt;/p&gt;

&lt;p&gt;This video documents the testing of temporary rumble strips at the Purdue University Airport (KLAF) to assess their stability during winter operations. This test was conducted by passing International 4800 equipped with a Sweepster 3000 Series Windrow Sweeper over the rumble strips. The rumble strips were found to have little to no significant lateral movements following the test.&lt;/p&gt;
description: This video documents the rotary broom testing on temporary rumble strips at the Purdue University Airport (KLAF).
DOI: 10.4231/r79k486t
title: Purdue University Buildings Demolition, Construction Images, April 2016, MATH Building Camera

description: &lt;p&gt;[[Video(http://www.youtube.com/watch?v=UanJtLrwWZo)]]&lt;/p&gt;

&lt;p&gt;Purdue&#39;s campus landscape continues to change with the construction of new buildings and the remodel of old buildings. In 2012 the Engineering Administration Building (ENAD) and the iconic Heat and Power Plant-North (HPN) were targeted for demolition to make way for the construction of the Wilmeth Active Learning Center (WALC); a building with offices, collaborative spaces and classrooms with an emphasis on new instructional models. The Purdue University Lyles School of Civil Engineering capitalized on a key opportunity for education and research. Five cameras were installed to capture images from the demolition of the Engineering Administration Building and the Power Plant, to the construction of the Wilmeth Active Learning Center. The images from 3 fixed cameras situated on the Mathematical Sciences Building (MATH) and the Potter (A. A.) Engineering Center (POTR) can be accessed and used for educational and research purposes.&lt;/p&gt;

&lt;p&gt;Representative time lapse videos were created from these three cameras for each month of the project. The time lapse videos created from these images - 08:00 to 18:00, 7 days a week in each month - are accessible here: &lt;a href="http://dx.doi.org/10.4231/R70P0WXD"&gt;http://dx.doi.org/10.4231/R70P0WXD&lt;/a&gt;.&lt;/p&gt;
description: Two iconic buildings on the Purdue University campus, the Engineering Administration Building and the retired Heating and Power Plant-North, were targeted for demolition in 2012 to make way for the construction of the Active Learning Center.
DOI: 10.4231/r7k35rm1
title: Data Set: A Rotational Pressure-Correction Scheme for Incompressible Two-Phase Flows with Open Boundaries

description: &lt;p class="p1"&gt;&lt;span class="s1"&gt;Two-phase outflows refer to situations where the interface formed between two immiscible incompressible fluids passes through open portions of the domain boundary. We present several new forms of open boundary conditions for two-phase outflow simulations within the phase field framework, as well as a rotational pressure correction based algorithm for numerically treating these  open boundary conditions. Our algorithm gives rise to linear algebraic systems for the velocity and the pressure that involve only constant and time-independent coefficient matrices after discretization, despite the variable density and variable viscosity of the two-phase mixture. By comparing simulation results with theory and the experimental data, we show that the method produces physically accurate results. We also present numerical experiments to demonstrate the long-term stability of the method in situations where large density contrast, large viscosity contrast, and backflows occur at the two-phase open boundaries.&lt;/span&gt;&lt;/p&gt;
description: Data files for the paper "S. Dong &amp;amp; X. Wang, A Rotational Pressure-Correction Scheme for Incompressible Two-Phase Flows with Open Boundaries, PLOS One, Accepted, 2016"
DOI: 10.4231/r7fb50wp
title: Data Set: A Rotational Pressure-Correction Scheme for Incompressible Two-Phase Flows with Open Boundaries

description: &lt;p class="p1"&gt;&lt;span class="s1"&gt;Two-phase outflows refer to situations where the interface formed between two immiscible incompressible fluids passes through open portions of the domain boundary. We present several new forms of open boundary conditions for two-phase outflow simulations within the phase field framework, as well as a rotational pressure correction based algorithm for numerically treating these  open boundary conditions. Our algorithm gives rise to linear algebraic systems for the velocity and the pressure that involve only constant and time-independent coefficient matrices after discretization, despite the variable density and variable viscosity of the two-phase mixture. By comparing simulation results with theory and the experimental data, we show that the method produces physically accurate results. We also present numerical experiments to demonstrate the long-term stability of the method in situations where large density contrast, large viscosity contrast, and backflows occur at the two-phase open boundaries.&lt;/span&gt;&lt;/p&gt;
description: Data files for the paper "S. Dong &amp;amp; X. Wang, A Rotational Pressure-Correction Scheme for Incompressible Two-Phase Flows with Open Boundaries, PLOS One, Accepted, 2016"
DOI: 10.17909/h7sh-wn90
title: Data on the Galactic Center in infrared

description: JWST observations on the Galactic Center and the sky fields, using MIRI/MRS. Used to study the gas excitations and dynamics in the Galactic Center and medium on the line of sight.
DOI: 10.4231/r7f769j8
title: gSSURGO-based Floodplain Maps of Indiana

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 Indiana. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.15468/dl.6wkmx6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salsola vermiculata",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059335-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/r75x26wd
title: Purdue University Buildings Demolition, Construction Images, April 2016, POTR Building Camera 1

description: &lt;p&gt;[[Video(http://www.youtube.com/watch?v=WC8iKisqmcA)]]&lt;/p&gt;

&lt;p&gt;Purdue&#39;s campus landscape continues to change with the construction of new buildings and the remodel of old buildings. In 2012 the Engineering Administration Building (ENAD) and the iconic Heat and Power Plant-North (HPN) were targeted for demolition to make way for the construction of the Active Learning Center (ALC); a building with offices, collaborative spaces and classrooms with an emphasis on new instructional models. The Purdue University Lyles School of Civil Engineering capitalized on a key opportunity for education and research. Five cameras were installed to capture images from the demolition of the Engineering Administration Building and the Power Plant, to the construction of the Active Learning Center. The images from 3 fixed cameras situated on the Mathematical Sciences Building (MATH) and the Potter (A. A.) Engineering Center (POTR) can be accessed and used for educational and research purposes.&lt;/p&gt;

&lt;p&gt;Representative time lapse videos were created from these three cameras for each month of the project. The time lapse videos created from these images - 08:00 to 18:00, 7 days a week in each month - are accessible here: &lt;a href="http://dx.doi.org/10.4231/R70P0WXD"&gt;http://dx.doi.org/10.4231/R70P0WXD&lt;/a&gt;.&lt;/p&gt;
description: Two iconic buildings on the Purdue University campus, the Engineering Administration Building and the retired Heating and Power Plant-North, were targeted for demolition in 2012 to make way for the construction of the Active Learning Center.
DOI: 10.4231/r7251g5d
title: Purdue University Buildings Demolition, Construction Images, April 2016, POTR Building Camera 2

description: &lt;p&gt;[[Video(http://www.youtube.com/watch?v=2RxLjx0Apr0)]]&lt;/p&gt;

&lt;p&gt;Purdue&#39;s campus landscape continues to change with the construction of new buildings and the remodel of old buildings. In 2012 the Engineering Administration Building (ENAD) and the iconic Heat and Power Plant-North (HPN) were targeted for demolition to make way for the construction of the Active Learning Center (ALC); a building with offices, collaborative spaces and classrooms with an emphasis on new instructional models. The Purdue University Lyles School of Civil Engineering capitalized on a key opportunity for education and research. Five cameras were installed to capture images from the demolition of the Engineering Administration Building and the Power Plant, to the construction of the Active Learning Center. The images from 3 fixed cameras situated on the Mathematical Sciences Building (MATH) and the Potter (A. A.) Engineering Center (POTR) can be accessed and used for educational and research purposes.&lt;/p&gt;

&lt;p&gt;Representative time lapse videos were created from these three cameras for each month of the project. The time lapse videos created from these images - 08:00 to 18:00, 7 days a week in each month - are accessible here: &lt;a href="http://dx.doi.org/10.4231/R70P0WXD"&gt;http://dx.doi.org/10.4231/R70P0WXD&lt;/a&gt;.&lt;/p&gt;
description: Two iconic buildings on the Purdue University campus, the Engineering Administration Building and the retired Heating and Power Plant-North, were targeted for demolition in 2012 to make way for the construction of the Active Learning Center.
DOI: 10.4231/r7xd0zn8
title: gSSURGO-based Floodplain Maps of Alabama

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 Alabama. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7nv9g62
title: gSSURGO-based Floodplain Maps of Arkansas

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 Arkansas. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7sn06xx
title: gSSURGO-based Floodplain Maps of Arizona

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 Arizona. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7j38qgn
title: gSSURGO-based Floodplain Maps of California

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 California. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.5281/zenodo.17981308
title: Disproving General Relativity: Gravity as the Large-Scale Emergence of Magnetic Alignment

description: This experimental report challenges the foundational assumption of General Relativity — that gravity emerges from the curvature of spacetime. Through slow-motion demonstrations using rectangular and spherical magnets, we reveal three key findings: 








Magnetic attraction and repulsion are not symmetrical. 










In free systems, repulsion rarely manifests as sustained separation and instead generates torque that reorients bodies toward attraction. 










When curvature is introduced — as in spherical systems, the true geometry of atoms, planets, vesicles, and stars — stable repulsion becomes physically impossible. 






Our results show that gravity is not a fundamental geometric distortion but a large-scale statistical consequence of universal magnetic alignment. The findings reposition gravity as an emergent magnetic phenomenon arising from rotational degrees of freedom in a curved universe. 

Crucially, this study documents an anomaly where opposite magnetic poles failed to attract in a flat-plane configuration, with attraction only triggering upon the introduction of angular inclination (torque). This suggests that gravitational attraction is not an inherent property of mass or spacetime curvature, but the inevitable outcome of magnetic interaction in a universe of spherical bodies possessing rotational degrees of freedom.
DOI: 10.4231/r7qn64pm
title: gSSURGO-based Floodplain Maps of Colorado

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 Colorado. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7kw5d0r
title: gSSURGO-based Floodplain Maps of Connecticut

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 Connecticut. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).
DOI: 10.4231/r7g73bn6
title: gSSURGO-based Floodplain Maps of Delaware

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 Delaware. These floodplain polygons for the entire state are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).