cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/njvv-b778
title: Code for the severe convective storm (SCS) environmental sounding model described in Chavas and Dawson (2021, JAS).

description: &lt;p&gt;Code for severe convective storm (SCS) environmental sounding model described in Chavas and Dawson (2021). &lt;strong&gt;PYTHON VERSION NOW AVAILABLE AT https://zenodo.org/records/15358857 , courtesy of Qin Jiang.&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;CD21_SCSsounding_CM1.m produces an idealized environmental sounding: vertical profiles of temperature, moisture, pressure, and vector winds. The code can be run out of the box in MATLAB. Any dependencies are included in the mfiles/ folder. The input parameters are defined by the user in the &ldquo;USER INPUT&rdquo; section at the top of the file.&lt;/p&gt;

&lt;p&gt;The code will produce two plots: thermodynamic vertical profiles &ldquo;CD21_SCSsounding_CM1_thermal.pdf&rdquo; and kinematic vertical profiles &ldquo;CD21_SCSsounding_CM1_wind.pdf&rdquo;. The code will also output a sounding text file &ldquo;CD21_SCSsounding_CM1.txt&rdquo; that is formatted for direct input into the numerical model Cloud Model 1 (CM1), which is widely used in the weather community.&lt;/p&gt;

&lt;p&gt;Chavas D. R. and D. T. Dawson II (2021). An idealized physical model for the severe convective storm environmental sounding. J. Atmos. Sci., 78(2), pp.653-670.&lt;/p&gt;

&lt;p&gt;Shortened abstract: This work develops a theoretical model for steady thermodynamic and kinematic profiles for severe convective storm environments. The model is phrased in terms of static energy, and it allows for independent variation of the boundary layer and free troposphere separated by a capping inversion. An algorithm is presented to apply the model to generate a sounding for numerical simulations of severe convective storms, and the model is compared and contrasted with that of Weisman and Klemp. The construction of this minimal model is flexible and amenable to additional modifications as needed. The model offers a novel framework that may be useful for testing how severe convective storms depend on the vertical structure of the hydrostatic environment, as well as for linking variability in these environments to the physical processes that produce them within the climate system.&lt;/p&gt;
description: Code to produce an idealized severe convective storm (SCS) environmental sounding as described in the paper Chavas and Dawson (2021, JAS).
DOI: 10.4231/qy3k-tf59
title: Field Photos and Videos of Spring Emergences and Sampling Locations in and around Glacier National Park, Montana, USA, and Mount Hood National Forest, Oregon, USA

description: &lt;p style="text-align:justify"&gt;&lt;span style="font-size:12pt"&gt;&lt;span style="font-family:Aptos,sans-serif"&gt;This dataset includes field photos and videos collected during hydrogeologic fieldwork in and around Glacier National Park, Montana, USA, and Mount Hood National Forest, Oregon, USA. The materials document sampling locations and site conditions observed during the 2017&ndash;2019 field seasons. These visuals support research on alpine groundwater systems and glacial meltwater contributions and are associated with the study titled &ldquo;Factors Affecting the Preservation of the Isotopic Fingerprint of Glacial Meltwater in Mountain Groundwater Systems&rdquo;.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
description: This dataset includes field photos and videos from hydrogeologic fieldwork in Glacier National Park, Montana, USA, and Mount Hood National Forest, Oregon, USA, documenting sampling sites during the 2017–2019 field seasons.
DOI: 10.4231/zmxk-7d29
title: An Analysis of the Exposure History of Apollo 17 Soils via Transmission Electron Microscopy TEM Images and EDX Data

description: &lt;p&gt;TEM and EDX data of individual grains found in five Apollo 17 scoop samples were collected to analyze their respective space weathering characteristics. The mineralogy, evidence of space weathering, and solar energetic particle (SEP) track derived surface exposure age was determined for each grain. These values were compared each soils FMR intensity, which correlated with surface exposure, to determine the relationship between agglutinate abundance, overall abundance of space weathered material, and SEP track derived exposure age distributions. This was done in order to understand the effects of regolith mixing and processing on the lunar surface.&lt;/p&gt;
description: Transmission electron microscopic (TEM) and energy dispersive x-ray (EDX) spectroscopic data of regolith grains found in five Apollo 17 scoop samples.
DOI: 10.4231/6dwp-1274
title: Data for simulating interfacial instability and bubble pinch-off in a soft capillary tube

description: &lt;p&gt;&lt;strong&gt;Overview:&lt;/strong&gt; This dataset includes simulation data for the displacement of glycerol by air in a soft capillary tube. This is a fluid-structure interaction (FSI) problem involving two immiscible fluids. Our computational model employs a phase-field model for the fluids&rsquo; governing equations and a nonlinear hyperelastic model for the solid. Our focus is on micro-scale problems, where the interplay between capillary forces, viscous forces and elastic forces determines the onset of interfacial instability and bubble pinch-off in the tube.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Context and Objectiv&lt;/strong&gt;e: The primary objective of this dataset is to elucidate the effects of three parameters: inlet capillary number, elastocapillary number (related to the tube&rsquo;s deformability), and tube&rsquo;s wettability on the onset of instability in the capillary tube. Our simulations can help us better understand the dynamic interactions between fluids and deformable solids in many applications, such as soft porous media, bio-microfluidics, and pressure-actuated soft robotics.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data Collection: &lt;/strong&gt;The data in this repository were collected from axisymmetric numerical simulations of a multi-component FSI model. Detailed information about our model and numerical formulation can be found in [1, 2]. &lt;/p&gt;

&lt;p&gt;&lt;strong&gt;References&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;1. S. R. Bhopalam, R. Juanes and H. Gomez, Simulating fluid-fluid displacement in a soft capillary tube: How compliance delays interfacial instability and bubble pinch-off, arXiv, 2025.&lt;/p&gt;

&lt;p&gt;2. S. R. Bhopalam, R. Juanes and H. Gomez, Simulating fluid-fluid displacement in a soft capillary tube: How compliance delays interfacial instability and bubble pinch-off, &lt;em&gt;Computer Methods in Applied Mechanics and Engineering&lt;/em&gt;, 2026.&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;
description: Two fluid displacement in a soft capillary tube: a study on how tube's compliance delays interfacial instability and bubble pinch-off
DOI: 10.4231/b3wn-vh39
title: Sulfide Minerals bear witness to Impacts across the Solar System

description: &lt;p&gt;This includes transmission electron microscopy data for in situ heating experiments for pentlandite mineral. Included in the dataset are the required raw data products relevant to the publication figures:&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;TIFF images, including bright-field, dark-field, and secondary electron images of the samples before and after heating. Descriptions of imaging mode and magnification are in the file titles, and calibrated scale bars are present on all images.&lt;/li&gt;
 &lt;li&gt;TXT and CSV files showing quantitative EDX line profiles extracted from samples that are indicated in publication figures.&lt;/li&gt;
 &lt;li&gt;TIFF files showing EDX maps indicating elemental distributions.&lt;/li&gt;
 &lt;li&gt;TIFF files showing EDX chemical data overlying electron microscopy images.&lt;/li&gt;
&lt;/ul&gt;
description: Transmission electron microscopy data from in situ heating experiments on pentlandite showing the formation of Fe-Ni-rich whiskers.
DOI: 10.4231/n84s-4033
title: Impact of nutritional and bioactivity level of colostrum in promoting 24 h gain, circulating lipid profile, and circulating levels of immunocrit, proteins, glucose, and free amino acids

description: &lt;p&gt;The data provided here are lipidome, proteome, and amino acid data generated from neonatal piglets fed different levels of colostrum and milk replacer. We conducted multiple reaction monitoring (MRM) profiling of lipids in diet (colostrum and milk replacer) and serum from neonatal piglets, proteome analysis of diets (colostrum and milk replacer), and evaluation of the amino acid concentration of diet and serum using liquid chromatography mass spectrometry (LC-MS). We aim to provide these data to other researchers to use as a resource for the future discovery of potential targets in neonatal piglet fed colostrum or milk replacer.  &lt;/p&gt;
description: The data provided here are lipidome, proteome, and amino acid data generated from neonatal piglets fed different levels of colostrum and milk replacer. We conducted multiple reaction monitoring (MRM) profiling of lipids in diet (colostrum and milk replace
DOI: 10.4231/1a7z-zj10
title: NSF IDEAAS Data 2017-2025

description: &lt;p&gt;The purpose of this project was to examine the relations among African American STEM students&#39; racial identity, science identity, academic climate perceptions, stereotype threat, and other motivational factors. Data were collected at Grambling State University, Louisiana Tech University, and Purdue University from 2017 to 2025. &lt;/p&gt;
description: These longitudinal data were collected from African American STEM students from 2017 to 2025. The project involved collecting data on students' science identity, racial identity, perceptions of stereotype threat, and campus climate perceptions.
DOI: 10.4231/16pj-x043
title: Aerodrome Throughput Analysis for High Frequency Ridesharing-Enabled Urban Air Mobility Operations: Additional Results

description: &lt;p&gt;This publication is intended to support the readers of the AIAA Aviation 2025 article titled: Aerodrome Throughput Analysis for High Frequency Ridesharing-Enabled Urban Air Mobility Operations. &lt;/p&gt;
description: A complete list of all nine aerodromes and results for five of them not covered in the AIAA Aviation 2025 paper are presented in this publication.
DOI: 10.4231/z3pj-fp03
title: OCO-2 constrained land carbon fluxes with local ensemble transform Kalman filter over circumpolar regions during 2015-2016

description: &lt;p&gt;This dataset contains posterior carbon emissions from our 4 inversion simulations (Simu-G, Simu-EG, Simu-ET and Simu-T).&lt;br /&gt;
 &lt;/p&gt;
description: It is important to understand the role of terrestrial ecosystems in the global carbon cycle, especially for circumpolar regions where fire disturbances are frequent. We developed an atmospheric inversion system based on the local ensemble transform Kalman
DOI: 10.4231/jncz-wc05
title: Code and Data for "Spin-chain multichannel Kondo model via image impurity boundary condition"

description: &lt;p&gt;The jupyter notebook &quot;simulationcode/shift2CKSimpDesktop.ipynb&quot;, &quot;simulationcode/shift2CKSimpDesktop.ipynb&quot; and &quot;simulationcode/EE4CK.ipynb&quot; calculate the ground states of the spin-chain 2,3,4-channel Kondo using DMRG (tenpy).&lt;/p&gt;

&lt;p&gt;The jupyter notebook FigspinMCK.ipynb generates the figures in the paper &quot;Spin-chain multichannel Kondo model via image impurity boundary condition&quot;. This paper focus on constructing the multichannel Kondo model using spin-chain.&lt;/p&gt;
description: Code for calculating the ground states of the spin-chain 2,3,4-channel Kondo model using DMRG; Data for generating all the figures in the paper "Spin-chain multichannel Kondo model via image impurity boundary condition" based on the codes.
DOI: 10.4231/nwzx-2675
title: Simulink Model for Thermal Runaway of a Single Li-ion Cell using the Hatchard-Kim Reaction Mechanism and 0D Lumped Body Approach

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

&lt;p&gt;This Simulink&lt;sup&gt;(R)&lt;/sup&gt; model may be used to simulate thermal runaway in Li-ion battery cells.  The model tracks the cell temperature, heat generation rate, total heat released, and progress of decomposition reactions.  The model layout is designed for a friendly user experience,  allowing the user to easily modify geometric parameters, thermal boundary and initial conditions, and reaction kinetic parameters.&lt;/p&gt;

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

&lt;p&gt;Refer to the included white paper or &lt;a href="https://youtu.be/Gm5Pnet3qks?feature=shared"&gt;YouTube video&lt;/a&gt; for more information on theory and numerical methods used.  &lt;/p&gt;

&lt;p&gt;&lt;iframe align="middle" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" frameborder="0" height="315" referrerpolicy="strict-origin-when-cross-origin" scrolling="no" src="https://www.youtube.com/embed/Gm5Pnet3qks?si=An59tTdZHC_eVV_J" title="YouTube video player" width="560"&gt;&lt;/iframe&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Bundle Includes:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;Simulink model, version 2018a&lt;/li&gt;
 &lt;li&gt;Simulink model, version 2024a&lt;/li&gt;
 &lt;li&gt;White paper with description of model theory, mathematical framework, description of model, and presentation of results&lt;/li&gt;
 &lt;li&gt;Results file in tab-delimited text format (.DAT)&lt;/li&gt;
&lt;/ul&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;Launch MATLAB&lt;/li&gt;
 &lt;li&gt;Move the Simulink file (.SLX) of choice to the MATLAB working directory&lt;/li&gt;
 &lt;li&gt;Launch the Simulink model file&lt;/li&gt;
 &lt;li&gt;Run the simulation by clicking the green arrow in the ribbon at the top of the Simulink window&lt;/li&gt;
 &lt;li&gt;View results by double clicking on &quot;scope&quot; icons within the Simulink model or by inspecting data in the MATLAB workspace&lt;/li&gt;
&lt;/ol&gt;

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

&lt;p&gt;[1]    T. D. Hatchard, D. D. MacNeil, A. Basu, and J. R. Dahn, &quot;Thermal model of cylindrical and prismatic lithium-ion cells,&quot; J Electrochem Soc, vol. 148, no. 7, pp. A755-A761, 2001, doi: 10.1149/1.1377592.&lt;/p&gt;

&lt;p&gt;[2]    G.-H. Kim, A. Pesaran, and R. Spotnitz, &quot;A three-dimensional thermal abuse model for lithium-ion cells,&quot; J Power Sources, vol. 170, no. 2, pp. 476-489, 2007, doi: 10.1016/j.jpowsour.2007.04.018.&lt;br /&gt;
 &lt;/p&gt;
description: This dataset includes a Simulink model used for simulating thermal runaway in a single, 18650 format Li-ion cell exposed to an oven test thermal abuse scenario. The thermal model uses the lumped body approach (0D) and the Hatchard-Kim reaction mechanism.
DOI: 10.4231/j9rx-rg13
title: Resonant scattering, metallicity, and redshift (Jupyter scripts)

description: &lt;p&gt;The warmer gaseous component of the Large Scale Structure of the Universe emits primarily in the X-ray portion of the electromagnetic spectrum, mostly through thermal emission. Resonant scattering of X-ray background radiation by the Warm-Hot Intergalactic Medium (10&lt;sup&gt;5 &lt;/sup&gt;K &lt; T &lt; 10&lt;sup&gt;7&lt;/sup&gt; K), however, can contribute significantly to the amplitude of the resonant emission lines of selected ions (with an increment of more than a factor 30).&lt;/p&gt;

&lt;p&gt;Tables for the emission (thermal and resonant scattering) at different temperature, density, metallicity, and redshift are generated with Cloudy. The comparison between thermal emission and resonant scattering contributions is performed with Jupyter Notebooks.&lt;/p&gt;

&lt;p&gt;All the material related to the published paper is stored in four sets: &ldquo;Cloudy scripts&rdquo;, &ldquo;Jupyter scripts&rdquo;, &ldquo;Data&rdquo;, and &ldquo;Figures&rdquo;. Additional material, that extends beyond the initial investigation, will be stored at a later time (the description will be updated accordingly).&lt;/p&gt;

&lt;p&gt;Jupyter scripts.&lt;/p&gt;

&lt;p&gt;The Jupyter script &ldquo;phase_diagrams&rdquo; generates temperature-density phase diagrams of the output from the Illustris TNG data. The original input data is not provided and must be retrieved from the Illustris TNG simulation repositories.&lt;/p&gt;

&lt;p&gt;The Jupyter script &ldquo;Scattering_continuum_file_summary&rdquo; reads the output of the Cloudy simulations and selects only two fields (energy bin and reflected emission) for the band [450-970 eV]. The output is stored in the &ldquo;Data&rdquo; set.&lt;/p&gt;

&lt;p&gt;The Jupyter script &ldquo;Scattering_emission_maps_short&rdquo; reads the output of &ldquo;Scattering_continuum_file_summary&rdquo; and plots the data for the selected ions (thermal emission, resonant scattering, total emission, and ratios) as a function of temperature and density.&lt;/p&gt;
description: Investigation of the contribution of resonant scattering to the emission of the Warm-Hot gas (10^5 K &lt; T &lt; 10^7 K) in the large scale structure of the Universe. Assessment of the effect of metallicity and redshift.
DOI: 10.4231/x121-0j49
title: Resonant scattering, metallicity, and redshift (Cloudy data)

description: &lt;p&gt;The warmer gaseous component of the Large Scale Structure of the Universe emits primarily in the X-ray portion of the electromagnetic spectrum, mostly through thermal emission. Resonant scattering of X-ray background radiation by the Warm-Hot Intergalactic Medium (10&lt;sup&gt;5 &lt;/sup&gt;K &lt; T &lt; 10&lt;sup&gt;7&lt;/sup&gt; K), however, can contribute significantly to the amplitude of the resonant emission lines of selected ions (with an increment of more than a factor 30).&lt;/p&gt;

&lt;p&gt;Tables for the emission (thermal and resonant scattering) at different temperature, density, metallicity, and redshift are generated with Cloudy. The comparison between thermal emission and resonant scattering contributions is performed with Jupyter Notebooks.&lt;/p&gt;

&lt;p&gt;All the material related to the published paper is stored in four sets: &ldquo;Cloudy scripts&rdquo;, &ldquo;Jupyter scripts&rdquo;, &ldquo;Data&rdquo;, and &ldquo;Figures&rdquo;. Additional material, that extends beyond the initial investigation, will be stored at a later time (the description will be updated accordingly).&lt;/p&gt;

&lt;p&gt;Data.&lt;/p&gt;

&lt;p&gt;The data folder does not include very large sets, like the Illustris TNG data and the Cloudy output.&lt;/p&gt;

&lt;p&gt;The Illustris dataset can be retrieved from the Illustris TNG Simulation repository.&lt;/p&gt;

&lt;p&gt;The Cloudy data can be generated with scripts in the &ldquo;Cloudy script&rdquo; set in less than 24 hours. The data folder contains the summary of the Cloudy data (labeled *_s.con) generated by &ldquo;Scattering_emission_maps_short&rdquo;. The summary is stored in a set of tar.gz files. If the original Cloudy data is not required, it is likely faster to download the *_s.con files from this repository. The Jupyter script copies data from the original continuum file (adopting the same units as the original); the first column (the energy of the spectrum bin) has units of eV, the second column (the &ldquo;reflected&rdquo; spectrum) has units of erg cm&lt;sup&gt;-2&lt;/sup&gt; s&lt;sup&gt;-1&lt;/sup&gt;.&lt;/p&gt;
description: Investigation of the contribution of resonant scattering to the emission of the Warm-Hot gas (10^5 K &lt; T &lt; 10^7 K) in the large scale structure of the Universe. Assessment of the effect of metallicity and redshift.
DOI: 10.5281/zenodo.17982043
title: Physical Reality Auditor (PRA)  Technical Assurance Statement (TAS)

description: Esta versión consolida la arquitectura final y lista para ejecución del Physical Reality Auditor (PRA).Introduce la Arquitectura de Ejecución Verificada (AEV), un flujo operativo determinista que audita la coherencia física, la validez metrológica (GUM) y la fidelidad cuántica de los resultados de ingeniería.

Esta versión reemplaza las descripciones conceptuales previas y representa el sistema completo, validado y licenciable.

El PRA no realiza simulaciones ni cálculos. Actúa exclusivamente como auditor determinista y generador de Technical Assurance Statements (TAS) con trazabilidad criptográfica (SHA-512).
DOI: 10.4231/za6z-zc57
title: Resonant scattering, metallicity, and redshift (Figures)

description: &lt;p&gt;The warmer gaseous component of the Large Scale Structure of the Universe emits primarily in the X-ray portion of the electromagnetic spectrum, mostly through thermal emission. Resonant scattering of X-ray background radiation by the Warm-Hot Intergalactic Medium (10&lt;sup&gt;5 &lt;/sup&gt;K &lt; T &lt; 10&lt;sup&gt;7&lt;/sup&gt; K), however, can contribute significantly to the amplitude of the resonant emission lines of selected ions (with an increment of more than a factor 30).&lt;/p&gt;

&lt;p&gt;Tables for the emission (thermal and resonant scattering) at different temperature, density, metallicity, and redshift are generated with Cloudy. The comparison between thermal emission and resonant scattering contributions is performed with Jupyter Notebooks.&lt;/p&gt;

&lt;p&gt;All the material related to the published paper is stored in four sets: &ldquo;Cloudy scripts&rdquo;, &ldquo;Jupyter scripts&rdquo;, &ldquo;Data&rdquo;, and &ldquo;Figures&rdquo;. Additional material, that extends beyond the initial investigation, will be stored at a later time (the description will be updated accordingly).&lt;/p&gt;

&lt;p&gt;Figures.&lt;/p&gt;

&lt;p&gt;This set contains the phase diagrams generated by the &ldquo;phase_diagrams&rdquo; script (&ldquo;fig_tho_T*.pdf&rdquo;) and the emission and ratio maps generated by the script &ldquo;Scattering_emission_maps_short&rdquo; (&ldquo;fig_ioname_*.pdf&rdquo;). If the original Cloudy data or the summary data is not required, it is faster to download the figures from this repository.&lt;/p&gt;

&lt;p&gt;The phase diagrams have no units (the pixels show the mass fractions normalized to 1 over the full image).&lt;/p&gt;

&lt;p&gt;The emission maps have units of erg cm&lt;sup&gt;-2&lt;/sup&gt; s&lt;sup&gt;-1&lt;/sup&gt; Hz&lt;sup&gt;-1&lt;/sup&gt;.&lt;/p&gt;

&lt;p&gt;The ratio maps have no units.&lt;/p&gt;
description: Investigation of the contribution of resonant scattering to the emission of the Warm-Hot gas (10^5 K &lt; T &lt; 10^7 K) in the large scale structure of the Universe. Assessment of the effect of metallicity and redshift.
DOI: 10.5281/zenodo.17964512
title: Physical Reality Auditor (PRA)  Technical Assurance Statement (TAS)

description: Esta versión consolida la arquitectura final y lista para ejecución del Physical Reality Auditor (PRA).Introduce la Arquitectura de Ejecución Verificada (AEV), un flujo operativo determinista que audita la coherencia física, la validez metrológica (GUM) y la fidelidad cuántica de los resultados de ingeniería.

Esta versión reemplaza las descripciones conceptuales previas y representa el sistema completo, validado y licenciable.

El PRA no realiza simulaciones ni cálculos. Actúa exclusivamente como auditor determinista y generador de Technical Assurance Statements (TAS) con trazabilidad criptográfica (SHA-512).