cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/k57j-vd94
title: CCAT COVID-19 Impact on Shared Mobility Survey

description: &lt;p&gt;The COVID-19 pandemic has exerted a widespread and unequal influence on travel behaviors, resulting in a decline in mobility across various modes of transportation. Notably, shared mobility services, including bike-sharing, e-scooter sharing, and ride-hailing, have experienced significant reductions due to concerns regarding the heightened risk of COVID-19 transmission and infection. Consequently, this research aims to investigate travelers&#39; intentions to utilize shared mobility services following the relaxation of COVID-19-induced restrictions. In pursuit of this objective, a survey was conducted during fall of 2022, collecting responses from a sample of 1,650 individuals residing in three selected cities within the Midwest region of the United States. These cities were chosen to reflect variations in size, population density, and the degree of established shared mobility services. The survey encompassed information on actual travel habits, expected travel habits, COVID-19 preferences, Micromobility usage and opinions, Theory of Planned Behavior (TPB) questions for Micromobility/ ride-hailing/ online shopping, COVID-19 emerging activities such as teleworking and online shopping, ride-hailing usage and opinions, opinion questions on the environment/ technology/ sharing, and household characteristics. The dataset is deidentified so that it does not include sensitive information about participants such as demographical characteristics. A covariance-based multigroup structural equation modeling (MG-SEM) is employed to empirically evaluate the research hypotheses, affording a means to compare diverse travel preferences and patterns among users from the three cities. The findings of this study furnish valuable insights for service operators, enabling them to anticipate potential upswings in demand and inform operational decisions accordingly. Moreover, the outcomes can assist operators in mitigating the sustained decline in ridership by implementing incentives, engaging with stakeholders, and devising novel market strategies aimed at invigorating shared mobility service utilization.&lt;/p&gt;
description: Survey data conducted in areas with different shared mobility and transit usage (Indianapolis (low), Minneapolis (medium), and Chicago(heavy)) to assess public perceptions for public transit and shared emerging technologies in the COVID-19 era.
DOI: 10.4231/rmzx-4g15
title: 3D Mapping of Trough Migration Paths

description: &lt;p&gt;The dataset contains the data products developed and analyzed in the mapping of Mars&#39; northern polar spiral troughs. The spiral troughs have related subsurface features in radar referred to as Trough Migration Paths (TMPs). We have mapped these TMPs in a 3D radar dataset (Shallow Radar, SHARAD) across the entire northern polar ice cap. As a result, we have produced ~30 TMPs files, provided here as depth mapped in distance from the surface above.  This repository also contains the slope, azimuth, and wavelength measurements for surface troughs from MOLA elevation data. This data provides insight into Mars&#39; paleoclimate, and reveals regional patterns of accumulation of ice and trough retreat across the northern polar ice cap. The relevant manuscript is Laferriere, Bramson and Smith (2023) in JGR: Planets.&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;

&lt;p&gt; &lt;/p&gt;
description: The dataset contains the data products developed in the mapping of Mars' northern polar spiral troughs. This included 3D depth maps of trough migration paths from radar data, and slope, azimuth, and wavelength measurements for surface troughs.
DOI: 10.5281/zenodo.17981926
title: NMR Spectra and protocols for M1FJC IDCS Experimental Session

description: Protocols for synthesis and NMR Spectra for M1FJC IDCS Experimental Session.

NMR Spectra of D-Glucose pentaacetate product of different synthetic methods described in literature. Adapted protocols joined. 

ECRMN 1-3 : iodine as a catalyst

ECRMN 4-6 : microwave synthesis

ECRMN 7-9 : sodium acetate trihydrate as a catalyst

ECRMN 10 : copper (II) perchlorate hexahydrate as a catalyst.
DOI: 10.4231/qnmz-nm48
title: Data published for 'Protective Effects of Polyphenol-Rich Extracts against Neurotoxicity Elicited by Paraquat or Rotenone in Cellular Models of Parkinson’s Disease' (Tambe et al., Antioxidants 2023)

description: &lt;p&gt;In the study represented by the uploaded dataset (Tambe et al., Antioxidants 2023), we characterized botanical extracts enriched with a mixed profile of polyphenols, as well as a set of purified polyphenolic standards, in terms of their ability to mitigate dopaminergic cell death in primary midbrain cultures exposed to the Parkinson&#39;s disease (PD)-related toxicant, paraquat (PQ), and we examined underlying neuroprotective mechanisms. Extracts prepared from blueberries, black currants, grape seeds, grape skin, mulberries, and plums, as well as several ANC, were found to rescue dopaminergic neuron loss in PQ-treated cultures. Comparison of a subset of ANC-rich extracts for the ability to mitigate neurotoxicity elicited by PQ versus rotenone revealed that a hibiscus or plum extract was only neuroprotective in cultures exposed to rotenone or PQ, respectively. Several extracts or compounds with the ability to protect against PQ neurotoxicity increased the activity of the antioxidant transcription factor Nrf2 in cultured astrocytes, and PQ-induced dopaminergic cell death was attenuated in Nrf2-expressing midbrain cultures. In other studies, we found that extracts prepared from hibiscus, grape skin, or purple basil (but not plums) rescued defects in O&lt;sub&gt;2&lt;/sub&gt; consumption in neuronal cells treated with rotenone. Collectively, these findings suggest that extracts enriched with certain combinations of ANC, PAC, stilbenes, and other polyphenols could potentially slow neurodegeneration in the brains of individuals exposed to PQ or rotenone by activating cellular antioxidant mechanisms and/or alleviating mitochondrial dysfunction. The uploaded dataset consists of (i) an Excel worksheet with tabulated data spanning Figures 1-7 and S1-S3; (ii) a set of Prism files showing the results of statistical analyses of the data in Figures 1-7 and S1-S3 (readable with GraphPad Prism software); and (iii) a set of .jpg and .nd2 files corresponding to the fluorescence micrographs presented in Figure S4 (.nd2 files are readable using NIS-Elements Viewer software).&lt;/p&gt;
description: Dataset showing protective effects of polyphenols against neurotoxicity caused by agents linked to Parkinson's disease
DOI: 10.4231/erj3-1d04
title: Epidemiology and risk factors for avian cholera outbreaks in wild birds in the United States 2002-2022 Model Data

description: &lt;p&gt;Avian cholera is deadly disease that causes very high mortality and is a major problem in both economics and conservation. This dataset is focused on instances of the disease in wild birds in each US county for every day from Jan. 2002 to May 2022. Data used in the analysis and modeling of avian cholera in the US.&lt;/p&gt;
description: Data used in the publication: Epidemiology and risk factors for avian cholera outbreaks in wild birds in the United States 2002-2022.
DOI: 10.15468/dl.3rmayy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pitar pellucidus, Cytherea pellucida, Dione australica, Pitarina pellucidum)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059545-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/cbh3-3019
title: Salt Stockpile Inventory – May 1st -10th 2023 – INDOT Lebanon Salt Facility Post-Winter Refill

description: &lt;iframe width="560" height="315" src="https://www.youtube.com/embed/jvcdfEH8uKI" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen&gt;&lt;/iframe&gt;

&lt;p&gt;The Indiana Department of Transportation is evaluating the use of LiDAR technology to monitor the volume of salt stockpiles. During the 2022-2023 winter season, the technology was implemented to capture preseason and post season volumes at over 120 stockpile locations statewide. Images are used to support the LiDAR digital surface model to validate the volumes. Scans were performed each time a truckload of salt was delivered to the facility and loaded onto the pile via payloader or conveyor system. The timelapse shows 21 scans collected during the period of May 1 &ndash; 10&lt;sup&gt;th&lt;/sup&gt;,2023.  During this period over 47 truckloads of salt were delivered. This data set includes the raw volumetric data used for this visual along with the timelapse video of the entire refill event from a mounted camera in the facility. The timelapse camera video can be found on YouTube here: &lt;a href="https://youtu.be/UmBCGT-XAAU"&gt;https://youtu.be/UmBCGT-XAAU&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;

&lt;p&gt;&lt;iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/UmBCGT-XAAU" title="YouTube video player" width="560"&gt;&lt;/iframe&gt;&lt;/p&gt;
description: This visualization shows RGB images, LiDAR point clouds, and estimated volumes of the salt stockpile at the INDOT Lebanon Salt Facility as salt was delivered to refill the facility after the winter season.
DOI: 10.4231/9skx-fd80
title: Rough Cilicia Archaeological Survey Project (RCSP) Context Collection: Complete Dataset

description: &lt;p&gt;The Rough Cilicia Archaeological Survey Project (RCSP) completed its fieldwork in 2011. Authorized by the Turkish General Directorate of Cultural Heritage and Museums, the RCSP successfully conducted thirteen field seasons between 1996 and 2011 (1996-2005, 2007-2008, 2011). Employing methods common to landscape archaeology, the team attempted to record ceramic, architectural, current land cover, and geological data to contextualize settlement development in western Rough Cilicia (modern Gazipasha) from the Neolithic through the Byzantine eras. This dataset focuses on the results of the ceramic research of the RCSP pedestrian survey. The pedestrian survey strategically targeted four distinct landscape regions in the survey area. These include the urban sites, river basins, and ridges along the coast (Coastal Region, 1996-1999); the interior canyons of the &ldquo;Mesogeia&rdquo; (Adanda Canyon and Kaledran Basin, 2000-2004); the highland settlements just below the crest of the Tauros Mts. (Bickici Highland, 2003, 2007-2008); and the Yayla settlements at the top of the mountains (Taşeli Plateau, 2011). In all, some 1000 hectares of Rough Cilician rural terrain were investigated, some 160 &ldquo;sites&rdquo; were inspected, and some 9400 fragments of pottery were processed and recorded. After 2017, over two hundred new fragments were added to the collection and over seven hundred fragments were re-processed and published in two datasets with addenda and corrigenda. This dataset contains the metadata for all sites and datasets, including the addenda, in one spreadsheet to facilitate quantitative and qualitative analyses. All references to images have been removed.&lt;/p&gt;

&lt;p&gt;This dataset contain the most recent and accurate descriptions and classifications of the archaeological artefacts of the Rough Cilicia Archaeological Survey project.&lt;/p&gt;
description: Complete dataset of the Rough Cilicia Archaeological Survey Project (RCSP) Context Collection that contains descriptions of almost 10000 pottery fragments collected during the Rough Cilicia Archaeological Survey Project between 1996 and 2011.
DOI: 10.4231/sf2e-wk20
title: Insuring for Cyclone Events: What Matters to Small Business Owners

description: &lt;p&gt;The data for this survey was collected through an internet-based survey (Coastal Small Business Insurance Survey) in the Summer of 2022. Information about business owners&rsquo; preferences for insurance attributes was elicited using an unlabeled discrete choice experiment. Six hundred and thirty-one (631) business owners responded to the survey, out of which 598 made the final sample after data cleaning. &lt;/p&gt;

&lt;p&gt;Documents provided include complete survey codebook for the Coastal Small Business Insurance Survey. Documentation on how and when data were collected. Documentation on the questions and variables used in the study and how those variables correspond to the codebook. &lt;/p&gt;
description: We surveyed small businesses in 21 coastal states in the US, to elicit insurance preferences which were then analyzed using a mixed logit model.
DOI: 10.4231/gj6m-7259
title: Wildfires shift a cumulative carbon sink to a source for boreal forest ecosystems in North America from 1986 to 2020

description: &lt;p&gt;This study uses a process-based biogeochemistry model to simulate the carbon budget in North American boreal forests during 1986-2020 with satellite-derived burn severity data. We find that fires remove ecosystem carbon through combustion emissions of 2.4 Pg C and reduce net ecosystem production (NEP) from 32.6 Tg C/year to 0.8 Tg C/year, resulting in 3.5 Pg C loss to the atmosphere during the period, changing the boreal forests from a carbon sink to a source. When canopy&rsquo;s cooling effects are considered, model estimates lower soil temperatures in summer, inducing lower net primary production due to inhibited nitrogen uptake and mineralization and lower heterotrophic respiration, reducing NEP from 1.6 Tg C/year to 0.8 Tg C/year. This reduction accounts for 50% of the simulated post-fire NEP without considering canopy influences. Our study highlights the importance of fire and its induced canopy change in boreal forest soil thermal dynamics and carbon balance.&lt;/p&gt;
description: TEM model simulation results
DOI: 10.4231/k74p-vc27
title: Can heterosis and inbreeding depression explain the maintenance of outcrossing in a cleistogamous perennial?

description: &lt;p&gt;What maintains mixed mating is an evolutionary enigma. Cleistogamy, wherein a single plant produces both flowers capable of outcrossing (chasmogamous) and obligately selfing (cleistogamous), offers an ideal model to examine selfing costs. The evolution towards greater self-fertilization within populations could be restrained by inbreeding depression, whereas heterosis in crosses between populations could strengthen the inclination towards outcrossing. While empirical assessments of inbreeding depression and heterosis within the same cleistogamous system remain scarce, our research contributes by examining the potential disadvantages of self-fertilization, quantifying inbreeding depression and heterosis across three populations of the cleistogamous perennial, Ruellia humilis. The dataset found here contains the raw data for individual fitness components (number of seeds, germination, reproduction and number of flowers) that were used to estimate inbreeding depression and heterosis. &lt;/p&gt;
description: Dataset that includes the raw data files for fitness components and the bootstrap estimates for cumulative fitness
DOI: 10.4231/2h02-xa61
title: Simulations, data, and scripts for Hydrodynamics of bubble flow through a porous medium with applications to packed bed reactors

description: &lt;p&gt;Five sets of simulation files are zipped into individual archives and named (as &quot;We_dp_..._selected_files.zip&quot;) for each global Weber number, &lt;em&gt;We&lt;sub&gt;dp&lt;/sub&gt;&lt;/em&gt;, described in the manuscript &quot;Hydrodynamics of bubble flow through a porous medium with applications to packed bed reactors&quot; by Nagrani, Marconnet &amp; Christov (2023).&lt;/p&gt;

&lt;p&gt;Each zip archive contains ANSYS Fluent 2022R1 case files and selected output data files, which allows the user to identify the simulation that this data corresponds to in the manuscript. Post-processing was done using ANSYS Fluent to generate data, stored in an Excel spreadsheet, and results were plotted using MATLAB R2019a. &lt;/p&gt;

&lt;p&gt;The archive &quot;Pre_processing_files_and_post_processing_files.zip&quot; contains the data spreadsheet, the MATLAB scripts, as well as Blender 2.92.0 simulation files, and ANSYS SpaceClaim geometry files (.scdoc and .fmd). Blender was used to generate the packed-bed geometry, which was cleaned up and made ready using SpaceClaim for the Fluent meshing and simulations. The mesh used is also provided in the archive as an .msh file.&lt;/p&gt;

&lt;p&gt;Inferences based on these simulations and data, and a discussion of their meaning/implications, can be found in the manuscript (available as a preprint at &lt;a href="https://arxiv.org/abs/2202.11704" rel="nofollow noopener noreferrer" target="_blank"&gt;https://arxiv.org/abs/2308.08075&lt;/a&gt;).&lt;/p&gt;
description: Zip files containing simulations, data, and post-processing scripts, used to generate the figures in the manuscript "Hydrodynamics of bubble flow through a porous medium with applications to packed bed reactors" by Nagrani, Marconnet...
DOI: 10.15468/dl.6q283a
title: Occurrence Download

description: A dataset containing 6404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porphyrio hochstetteri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 6404 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059546-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/9h4p-z894
title: OpenSees Models for C-PSW/CF Archetype Structures

description: &lt;p&gt;This database includes OpenSees models to evaluate the static, cyclic, and time history response of composite plate shear wall --concrete-filled (C-PSW/CF) structures. C-PSW/CFs also called the SpeedCore systems are emerging as a viable alternative to reinforced concrete structures. To facilitate the adoption and widespread use of this structural system, a FEMA P695 study was conducted by the authors to recommend seismic design parameters. These parameters have now been adopted into ASCE7-22 with additional edits to AISC360 and AISC341 also stemming from this effort. The models included here were developed for this study but have applications beyond these uses to analyze other structures of interest with different geometries. Further information on the material models used, fiber layout, and other assumptions is included in the reference publications.&lt;/p&gt;

&lt;p&gt;With this code, users can input wall geometries and provide a ground motion of interest and the program will output the time static and earthquake response of a 8-story structure. These outputs will be in the form of text files which the user can post-process to determine the force, displacement, stress, and strain response of various components. Please review the README file to understand the format these inputs should be in. All needed codes are included here except ground motions files which the user must provide. Some codes referenced herein are available directly from https://opensees.berkeley.edu/ and are included here as well for ease of use.&lt;/p&gt;
description: This database includes OpenSees models to evaluate the static, cyclic, and time history response of C-PSW/CF archetype structures.
DOI: 10.4231/jvxt-yq42
title: Artificial Intelligence for Optimal Truck Platooning: Impact on Autonomous Freight Delivery

description: &lt;p&gt;The advancements in autonomous- and connected-vehicle technologies bring drastic changes in freight delivery. Vehicle-to-vehicle and vehicle-to-infrastructure communication has become a reality with the help of autonomous and connected vehicles. One of the most notable changes is the formation of truck platoons. Despite the numerous benefits of truck platooning, such as reduced fuel consumption and increased traffic efficiency, this approach requires a significant amount of computational resources to obtain aerodynamic performance under different scenarios. To overcome this challenge, a data-driven surrogate model was proposed to predict the drag force and fuel-consumption rate of truck platoons. The surrogate model improves computational efficiency, as compared to traditional methods, and provides a valuable tool for evaluating the performance of truck platoons. To demonstrate the benefits of truck platooning, a 161-km (100-mi) corridor in Illinois on I-57 highway was selected to conduct fuel-consumption analysis and delivery-cost analysis for a three-truck platoon. The results showed that the average fuel savings achieved can be up to 10%, depending on the headway between the trucks. The delivery cost of the truck platoon was reduced by 30%, as compared with conventional line-haul delivery. These findings highlighted the importance of truck platooning as a solution for reducing fuel consumption and improving delivery economy in the freight industry.&lt;/p&gt;
description: A data-driven surrogate model was proposed to predict the drag force and fuel-consumption rate of truck platoons.
DOI: 10.4231/hzmk-wn34
title: Time Lapse of Weather, Road Speeds, and INDOT Trucks and Salt Trails During a Winter Storm from December 22 to 25, 2022

description: &lt;p&gt;This time lapse shows the location of those trucks during a winter storm, with respective salt application trails and integrates doppler weather and highway speed data. The blue circles are the active trucks, and the blue lines are salt trails from the salt trucks. The dataset contains sample data of a route of one truck.&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;

&lt;p&gt; &lt;/p&gt;

&lt;p&gt;&lt;iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/iJ9DLcuyI0M?si=wA62FQhLlSbcnbQ5" title="YouTube video player" width="560"&gt;&lt;/iframe&gt;&lt;/p&gt;
description: This time lapse shows interstate traffic speeds, doppler weather data, salt trails, and telematics data from Indiana Department of Transportation trucks during a winter storm on December 22 to 25, 2022.