cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/fq58-dc83
title: From mating to foraging: the evolution of eavesdropping in frog-biting mosquitoes

description: &lt;p&gt;While the origins of communication signals have long fascinated evolutionary biologists, our understanding of how selective pressures across contexts shape sensory systems is still limited. Most mosquito and midge species use hearing during acoustic mating behaviors. For frog-biting species, however, hearing plays an important role beyond mating as females rely on anuran calls to obtain a blood meal. This dataset was used to directly test the hypothesis that hearing to exploit the communication system of frogs evolved, as a co-opted trait, from hearing conspecifics for mating. Behavioral, neurophysiological and biomechanical analyses revealed that the antenna of a unique frog-biting species can detect frog calls by relying on neural and mechanical responses comparable to those of non-frog-biting species. &lt;/p&gt;
description: Data and codes used to investigate behavioral, neurophysiological and biomechanical traits associated with the evolution of hearing in mosquitoes
DOI: 10.4231/5kkv-1998
title: K2 18650 Vent Cap CT Scans

description: &lt;p&gt;&lt;strong&gt;Purpose:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Computed tomography (CT) scans of a K2 18650E vent cap assembly were conducted to analyze the geometry and structure of  the vent cap assembly including key safety devices, such as: the current interrupt device (CID) and burst disk.  The bundled data files may be used to inspect the vent cap assembly and take measurements of geometric features.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Method:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The following excerpt is from the paper by Li et al. [1]:&lt;/p&gt;

&lt;blockquote&gt;... CT scans were conducted using an X50 industrial X-ray inspection system from North Star Imaging (NSI).  The CT scans had spatial resolution of 16.6&mu;m.  3D renderings of the CT scans were created with a filtered back projection algorithm using ex-X CT Software from North Star Imaging.   The 3D rendering dimensions were calibrated by scanning a reference standard with the same scan parameters and were viewed using efX-CT Lite v. 2.0.5.0 software. ... CT scans were conducted for three different states of failure: intact (normal operation), CID activated, and vent activated.&lt;/blockquote&gt;

&lt;p&gt;&lt;strong&gt;Quick Start Guide:&lt;/strong&gt;&lt;/p&gt;

&lt;ol&gt;
 &lt;li&gt;Download bundle&lt;/li&gt;
 &lt;li&gt;Open executable file for one of three operational states: intact, CID activated, or vent activated&lt;/li&gt;
 &lt;li&gt;Use &quot;X&quot;, &quot;Y&quot;, or &quot;Z&quot; keys to change viewing plane&lt;/li&gt;
 &lt;li&gt;Use spacebar to toggle between viewing window and scan data&lt;/li&gt;
 &lt;li&gt;Use mouse left-click and drag to rotate plane&lt;/li&gt;
 &lt;li&gt;Use mouse wheel to move viewing plane through the volume&lt;/li&gt;
 &lt;li&gt;Use the histogram tool to improve contrast and brightness&lt;/li&gt;
 &lt;li&gt;Extract 2D slices to make measurements of length, diameter, angle, etc.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;&lt;strong&gt;REFERENCES:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;[1] Li, W., Crompton, K. R., Hacker, C., &amp; Ostanek, J. K. (2020). Comparison of Current Interrupt Device and Vent Design for 18650 Format Lithium-ion Battery Caps. &lt;em&gt;Journal of Energy Storage&lt;/em&gt;, 32, 101890. doi:&lt;a href="https://doi.org/10.1016/j.est.2020.101890" rel="nofollow noopener noreferrer" target="_blank"&gt;10.1016/j.est.2020.101890&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;DISTRIBUTION STATEMENT A.&lt;/strong&gt; Approved for public release: distribution unlimited.&lt;/p&gt;
description: This dataset includes computed tomography (CT) scans of the positive terminal assembly from a commercial lithium-ion battery (model: K2 18650E).
DOI: 10.4231/wcfr-9m25
title: LG M36 Vent Cap CT Scans

description: &lt;p&gt;&lt;strong&gt;Purpose:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Computed tomography (CT) scans of an LG M36 18650 vent cap assembly were conducted to analyze the geometry and structure of  the vent cap assembly including key safety devices, such as: the current interrupt device (CID) and burst disk.  The bundled data files may be used to inspect the vent cap assembly and take measurements of geometric features.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Method:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The following excerpt is from the paper by Li et al. [1]:&lt;/p&gt;

&lt;blockquote&gt;... CT scans were conducted using an X50 industrial X-ray inspection system from North Star Imaging (NSI).  The CT scans had spatial resolution of 16.6&mu;m.  3D renderings of the CT scans were created with a filtered back projection algorithm using ex-X CT Software from North Star Imaging.   The 3D rendering dimensions were calibrated by scanning a reference standard with the same scan parameters and were viewed using efX-CT Lite v. 2.0.5.0 software. ... CT scans were conducted for three different states of failure: intact (normal operation), CID activated, and vent activated.&lt;/blockquote&gt;

&lt;p&gt;&lt;strong&gt;Quick Start Guide:&lt;/strong&gt;&lt;/p&gt;

&lt;ol&gt;
 &lt;li&gt;Download bundle&lt;/li&gt;
 &lt;li&gt;Open executable file for one of three operational states: intact, CID activated, or vent activated&lt;/li&gt;
 &lt;li&gt;Use &quot;X&quot;, &quot;Y&quot;, or &quot;Z&quot; keys to change viewing plane&lt;/li&gt;
 &lt;li&gt;Use spacebar to toggle between viewing window and scan data&lt;/li&gt;
 &lt;li&gt;Use mouse left-click and drag to rotate plane&lt;/li&gt;
 &lt;li&gt;Use mouse wheel to move viewing plane through the volume&lt;/li&gt;
 &lt;li&gt;Use the histogram tool to improve contrast and brightness&lt;/li&gt;
 &lt;li&gt;Extract 2D slices to make measurements of length, diameter, angle, etc.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;&lt;strong&gt;REFERENCES:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;[1] Li, W., Crompton, K. R., Hacker, C., &amp; Ostanek, J. K. (2020). Comparison of Current Interrupt Device and Vent Design for 18650 Format Lithium-ion Battery Caps. &lt;em&gt;Journal of Energy Storage&lt;/em&gt;, 32, 101890. doi:&lt;a href="https://doi.org/10.1016/j.est.2020.101890" rel="nofollow noopener noreferrer" target="_blank"&gt;10.1016/j.est.2020.101890&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;DISTRIBUTION STATEMENT A.&lt;/strong&gt; Approved for public release: distribution unlimited.&lt;/p&gt;
description: This dataset includes computed tomography (CT) scans of the positive terminal assembly from a commercial lithium-ion battery (model: LG INR18650 M36).
DOI: 10.4231/93p2-gy15
title: Lipid profiles of Pacific green and hawksbill sea turtle plasma

description: &lt;p&gt;We collected plasma samples from foraging green (Chelonia mydas, n = 27) and hawksbill (Eretmochelys imbricate, n = 16) turtles live captured in North Pacific Costa Rica in 2017. From these samples, we identified 623 MRMs belonging to 10 lipid classes (sphingomyelin, phosphatidylcholine, free fatty acids, cholesteryl esters, phosphatidylserine, phosphatidylinositol, phosphatidylglycerol, phosphatidylethanolamine, ceramides, and triacylglycerides) and one metabolite group (acyl-carnitines) present in sea turtle plasma. The relative ion intensities of most lipids (80%) were consistent between species, across seasons, and were not correlated to body size or estimated sex. Of the differences we observed, the most pronounced was the differences in relative ion intensity between species. We identified 114 lipids that had species-specific relative ion intensities. While some of this variability is likely due to green and hawksbill turtles consuming different food items, we found indications of a phylogenetic component as well. In addition, we identified 46 lipids that varied by season, most belonging to the structural phospholipid classes. Overall, more lipids (n = 27) had higher relative ion intensity in the upwelling (colder) season compared to the non-upwelling season (n = 6). Further, we found more variability in hawksbill turtles than green turtles. &lt;/p&gt;
description: Data from multiple reaction monitoring profiling evaluating the relative ion intensities of lipid classes in plasma from sea turtles.
DOI: 10.4231/cx56-st57
title: SpeedCore Design Examples

description: &lt;p&gt;This package includes Mathcad sheets for the design examples in AISC Design Guide 37 on SpeedCore design. These detailed design examples showcase the use of the design specification and procedure described in the design guide. The examples cover wind and seismic design of coupled and uncoupled SpeedCore walls for typical 8 to 22 story buildings including detailed calculations for the design of the composite walls, coupling beams, and coupling beam-to-wall connections.&lt;/p&gt;
description: Mathcad sheets for the design examples in AISC Design Guide 37 on SpeedCore Design.
DOI: 10.4231/86zt-y828
title: Ingwell et al data for high tunnel bee study 2018

description: &lt;p&gt;Insecticide use and insufficient forage are two of the leading stressors to pollinators in agroecosystems. While these factors have been well-studied individually, the experimental designs do not reflect real-world conditions where insecticide exposure and lack of forage occur simultaneously and could interactively suppress pollinator health. Using outdoor enclosures, we tested the effects of insecticides (imidacloprid + lambda-cyhalothrin) and non-crop forage (clover) in a factorial design, measuring the survival, behavior, and performance of bumble bees (&lt;em&gt;Bombus impatiens&lt;/em&gt;), as well as pollination of the focal crop, watermelon. Colony survival was synergistically reduced to 17% in watermelon alone + insecticides (survival was 100% in all other treatments). However, behavioral shifts in foraging were mainly due to insecticides (e.g., 95% reduced visitation rate to watermelon flowers), while impacts on hive performance were primarily driven by clover presence (e.g., 374% increase in number of live eggs). Insecticide-mediated reductions in foraging decreased crop pollination (fruit set) by 32%. Altogether, these data indicate that both insecticides and non-crop forage play integral roles in shaping pollinator health in agricultural landscapes, but the relative importance and interaction of these two factors depend on which aspect of &ldquo;health&rdquo; are most valued.&lt;/p&gt;
description: These data indicate that both insecticides and non-crop forage play integral roles in shaping pollinator health in agricultural landscapes, but the relative importance and interaction of these two factors depend on which aspect of “health” are...
DOI: 10.15468/dl.5ecd4a
title: Occurrence Download

description: A dataset containing 153580 records in GBIF matching the query:
SELECT
 occurrenceid,
 gbifid,
 mediatype,
 scientificname
FROM
 occurrence
WHERE
 occurrence.basisofrecord = 'PRESERVED_SPECIMEN'
 AND ARRAY_CONTAINS(occurrence.mediatype, 'StillImage')
 AND occurrence.datasetkey = '857bce66-f762-11e1-a439-00145eb45e9a'

 The dataset's 153580 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059494-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/me5r-c919
title: Regulation of Phaeodactylum plastid gene transcription

description: &lt;p&gt;Diatoms are a diverse group of photosynthetic unicellular algae with a plastid derived from red algae. As prolific primary producers in the ocean, diatoms fix as much carbon as all rainforests combined. The molecular mechanisms that contribute to the high photosynthetic productivity and ecological success of diatoms are however not yet fully understood. Using the model diatom &lt;i&gt;Phaeodactylum tricornutum&lt;/i&gt;, here we show rhythmic transcript accumulation of plastid &lt;i&gt;psaA&lt;/i&gt;, &lt;i&gt;psbA&lt;/i&gt;, &lt;i&gt;petB&lt;/i&gt;, and &lt;i&gt;atpB&lt;/i&gt; genes as driven by a free running circadian clock. Treatment with the electron transport inhibitor 3-(3,4-dichlorophenyl)-1,1-dimethylurea overrides the circadian signal by markedly downregulating transcription of &lt;i&gt;psaA&lt;/i&gt;, &lt;i&gt;petB&lt;/i&gt;, and &lt;i&gt;atpB&lt;/i&gt; genes but not the &lt;i&gt;psbA&lt;/i&gt; gene. Changes in light quantity produce little change in plastid gene transcription while the effect of light quality seems modest with only the &lt;i&gt;psaA&lt;/i&gt; gene responding in a pattern that is dependent on the redox state of the plastoquinone pool. &lt;/p&gt;
description: This dataset contains raw data used for plotting the figures associated with the following publication 

https://link.springer.com/article/10.1007/s11120-020-00811-1
DOI: 10.4231/d2fc-n191
title: Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements

description: &lt;p&gt;We present an uncertainty quantification methodology for density estimation from background-oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a posteriori uncertainty bounds on each density measurement in the field of view. Displacement uncertainty quantification algorithms from cross-correlation-based particle image velocimetry are used to estimate the uncertainty in the dot pattern displacements obtained from cross-correlation for BOSs and assess their feasibility. In order to propagate the displacement uncertainty through the density integration procedure, we also develop a novel methodology via the Poisson solver using sparse linear operators. Testing the method using synthetic images of a Gaussian density field showed agreement between the propagated density uncertainties and the true uncertainty. Subsequently, the methodology is experimentally demonstrated for supersonic flow over a wedge, showing that regions with sharp changes in density lead to an increase in density uncertainty throughout the field of view, even in regions without these sharp changes. The uncertainty propagation is influenced by the density integration scheme, and for the Poisson solver the density uncertainty on average increases on moving away from the regions where the Dirichlet boundary conditions are specified.&lt;/p&gt;
description: We present an uncertainty quantification methodology for density estimation from background-oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a posteriori uncertainty bounds on each density measurement in the field...
DOI: 10.4231/9s3k-9j39
title: Intelligent Snow Plow: Muncie Advantage+ Controller Calibration

description: &lt;p&gt;[[Video(https://www.youtube.com/watch?v=NmtkpJxHKj0)]]&lt;/p&gt;

&lt;p&gt;This video demonstrates how to calibrate the spreader/auger system, offload rate, and speed control to ensure trucks accurately control the delivery of road salt over a range of driving speeds. &lt;/p&gt;

&lt;p&gt;The information provided in this resource is based on the intelligent snowplow database for Indiana managed by the Joint Transportation Research Program (JTRP). The database itself is not available for download in PURR because it is both prohibitively large and continually updated, but this resource is part of a series of tools based on those data.&lt;/p&gt;

&lt;p&gt;For fleet management and training, Automatic Vehicle Location devices were installed on all 1,100 Indiana Department of Transportation (INDOT) fleet trucks beginning in October 2020.  The resulting intelligent snowplow database stores real-time vehicle location, salt spreader controller and vehicle data, and dash images every minute, allowing agencies to actively monitor and deploy their assets. INDOT manages and maintains over 28,000 miles of roadways. Maintenance of the roadways includes pavement repair in the summer as well as snow removal and de-icing in the winter. The prioritization of assets during winter storm events is crucial and impacts travel and safety. The objective of this project was to identify and develop tools INDOT could provide its operators to effectively perform winter operation de-icing activities. This project examined application methods and data to provide analytics and make data-driven decisions for state-wide deployment and operations. Discovery of calibration metrics partnered with fleetwide telematics enabled the development of analytic dashboards that allowed real-time evaluations and adjustments to be made during winter operation activities. These tools will allow the agency to better treat and enhance safety for road users.&lt;/p&gt;
description: This video provides detailed instructions and graphics for calibrating a road salt spreader truck with a Muncie Advantage+ Controller.
DOI: 10.4231/7015-1x74
title: Intelligent Snow Plow: Certified Power Freedom 2 Controller Calibration

description: &lt;p&gt;[[Video(https://youtube.com/watch?v=VaEt3cyQEkM)]]&lt;/p&gt;

&lt;p&gt;This video demonstrates how to calibrate the spreader/auger system, offload rate, and speed control to ensure trucks accurately control the delivery of road salt over a range of driving speeds.&lt;/p&gt;

&lt;p&gt;The information provided in this resource is based on the intelligent snowplow database for Indiana managed by the Joint Transportation Research Program (JTRP). The database itself is not available for download in PURR because it is both prohibitively large and continually updated, but this resource is part of a series of tools based on those data.&lt;/p&gt;

&lt;p&gt;For fleet management and training, Automatic Vehicle Location devices were installed on all 1,100 Indiana Department of Transportation (INDOT) fleet trucks beginning in October 2020.  The resulting intelligent snowplow database stores real-time vehicle location, salt spreader controller and vehicle data, and dash images every minute, allowing agencies to actively monitor and deploy their assets. INDOT manages and maintains over 28,000 miles of roadways. Maintenance of the roadways includes pavement repair in the summer as well as snow removal and de-icing in the winter. The prioritization of assets during winter storm events is crucial and impacts travel and safety. The objective of this project was to identify and develop tools INDOT could provide its operators to effectively perform winter operation de-icing activities. This project examined application methods and data to provide analytics and make data-driven decisions for state-wide deployment and operations. Discovery of calibration metrics partnered with fleetwide telematics enabled the development of analytic dashboards that allowed real-time evaluations and adjustments to be made during winter operation activities. These tools will allow the agency to better treat and enhance safety for road users.&lt;/p&gt;
description: This video provides detailed instructions and graphics for calibrating a road salt spreader truck with a Certified Power Freedom 2 Controller.
DOI: 10.4231/crcy-ff55
title: Intelligent Snow Plow: Muncie Omni Controller Calibration

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

&lt;p&gt;This video demonstrates how to calibrate the spreader/auger system, offload rate, and speed control to ensure trucks accurately control the delivery of road salt over a range of driving speeds.&lt;/p&gt;

&lt;p&gt;The information provided in this resource is based on the intelligent snowplow database for Indiana managed by the Joint Transportation Research Program (JTRP). The database itself is not available for download in PURR because it is both prohibitively large and continually updated, but this resource is part of a series of tools based on those data.&lt;/p&gt;

&lt;p&gt;For fleet management and training, Automatic Vehicle Location devices were installed on all 1,100 Indiana Department of Transportation (INDOT) fleet trucks beginning in October 2020.  The resulting intelligent snowplow database stores real-time vehicle location, salt spreader controller and vehicle data, and dash images every minute, allowing agencies to actively monitor and deploy their assets. INDOT manages and maintains over 28,000 miles of roadways. Maintenance of the roadways includes pavement repair in the summer as well as snow removal and de-icing in the winter. The prioritization of assets during winter storm events is crucial and impacts travel and safety. The objective of this project was to identify and develop tools INDOT could provide its operators to effectively perform winter operation de-icing activities. This project examined application methods and data to provide analytics and make data-driven decisions for state-wide deployment and operations. Discovery of calibration metrics partnered with fleetwide telematics enabled the development of analytic dashboards that allowed real-time evaluations and adjustments to be made during winter operation activities. These tools will allow the agency to better treat and enhance safety for road users.&lt;/p&gt;
description: This video provides detailed instructions and graphics for calibrating a road salt spreader truck with a Muncie Omni Controller.
DOI: 10.4231/rnv9-8f21
title: Intelligent Snow Plow: How to Calibrate the Volumetric Box

description: &lt;p&gt;[[Video(https://youtube.com/watch?v=y-qkNFw6EzQ)]]&lt;/p&gt;

&lt;p&gt;To perform accurate calibration of road salt spreading equipment the volumetric box must be calibrated to account for variation in salt densities and moisture content.  This calibration ensures accurate application amounts during de-icing activities.&lt;/p&gt;

&lt;p&gt;The information provided in this resource is based on the intelligent snowplow database for Indiana managed by the Joint Transportation Research Program (JTRP). The database itself is not available for download in PURR because it is both prohibitively large and continually updated, but this resource is part of a series of tools based on those data.&lt;/p&gt;

&lt;p&gt;For fleet management and training, Automatic Vehicle Location devices were installed on all 1,100 Indiana Department of Transportation (INDOT) fleet trucks beginning in October 2020.  The resulting intelligent snowplow database stores real-time vehicle location, salt spreader controller and vehicle data, and dash images every minute, allowing agencies to actively monitor and deploy their assets. INDOT manages and maintains over 28,000 miles of roadways. Maintenance of the roadways includes pavement repair in the summer as well as snow removal and de-icing in the winter. The prioritization of assets during winter storm events is crucial and impacts travel and safety. The objective of this project was to identify and develop tools INDOT could provide its operators to effectively perform winter operation de-icing activities. This project examined application methods and data to provide analytics and make data-driven decisions for state-wide deployment and operations. Discovery of calibration metrics partnered with fleetwide telematics enabled the development of analytic dashboards that allowed real-time evaluations and adjustments to be made during winter operation activities. These tools will allow the agency to better treat and enhance safety for road users.&lt;/p&gt;
description: This video explains a method to calibrate the volumetric box for subsequent use in calibrating road salt spreading equipment.