cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/fr4m-pf07
title: Geochemical and mineralogical data of the Þórisjökull field site, Iceland.

description: &lt;p&gt;The Martian ancient climate has been long-debated with scientists hypothesizing that the river channels and lake beds preserved on the surface today formed in either a warm and wet environment, or a cold and icy environment, with heating events driving large-scale melting. One such heating event includes volcanism. This study investigated the chemical and mineralogical impact of volcano-ice interactions in Iceland using techniques available to Mars rovers and landers to improve the detection of these deposits on Mars. These data and their implications for Icelandic and Mars glaciovolcanic processes are presented in Bedford et al. (in rev) &quot;The Geochemical and Mineralogical Signature of Glaciovolcanism Near &THORN;&oacute;risj&ouml;kull, Iceland, and its Implications for Glaciovolcanism on Mars.&quot;, JGR: Planets.&lt;/p&gt;

&lt;p&gt;These data were collected as part of the SAND-E: Semi-Autonomous Navigation in Detrital Environments Mars-analog project (NASA grant #80NSSC18K1519) in 2019. The science aim of the SAND-E project was to investigate the physical and chemical weathering of volcaniclastic material in Mars relevant sedimentary systems. These data detail the composition and mineralogy of the volcanic sources of the glacio-fluvio-aeolian sedimentary system; &THORN;&oacute;risj&ouml;kull, Litla Bj&ouml;rnsfell, St&oacute;ra Bj&ouml;rnsfell, and Skjaldbrei&eth;ur.&lt;/p&gt;

&lt;p&gt;Samples from each glaciovolcanic edifice were taken up section to document the changes in morphology with height. A study of the chemical and mineralogical data from these volcanoes showed that there were five main compositional/mineralogical groups that corresponded with the known trends relating to volcanism during glaciation and during deglaciation in Iceland. &lt;/p&gt;
description: This dataset comprises XRF, XRD, and Microprobe data collected as part of the SAND-E 2019 field campaign to Þórisjökull, Iceland in addition to the locations of candidate glaciovolcanic edifices on Mars.
DOI: 10.4231/9e1v-eq84
title: Dataset for Li et al. 2024, PNAS Upstream surface roughness and terrain are strong drivers of contrast in tornado potential between North and South America

description: &lt;p&gt;This database provides tornadic environmental variables and associated data from observations, ERA5 reanalysis, and CESM experiments over North and South America for researching the contrast in tornado activity between North and South America. These data files are used to produce main results and figures in &quot;Li et al. 2024, PNAS, Upstream surface roughness and terrain are a strong driver of contrast in tornado potential between North and South America&quot;. The key finding indicates the important role of upstream surface roughness in driving contrast in tornado potential between North and South America.&lt;/p&gt;
description: This database provides tornadic environmental variables and associated data from observations, ERA5 reanalysis, and CESM experiments over North and South America for researching the contrast in tornado activity between North and South America.
DOI: 10.4231/vzdf-vx48
title: County Level Indiana Weather, Soil and Corn Yield Dataset

description: &lt;p&gt;Corn yield is influenced by the interplay of weather and soil characteristics at specific locations. This project aims to ceate county-level datasets comprising daily weather variables, static soil attributes, and yearly yield records. The weather data, spanning 2001&ndash;2023, was sourced from the Purdue Mesonet and the MRCC Cli-Mate repository, incorporating all available weather stations. Yield data was obtained from the USDA, and soil information was gathered from the SSURGO repository. All data were spatially aggregated to county-level averages to ensure uniformity.&lt;/p&gt;

&lt;p&gt;To enhance data quality, records with over 60 consecutive days of missing weather observations for a given year-county pair were excluded. The remaining gaps, representing less than 4% of the data, were imputed using a spatiotemporal KNN approach, achieving an imputation accuracy of 70%.&lt;/p&gt;

&lt;p&gt;These refined datasets offer valuable insights into the relationships between weather, soil, and yield, providing a robust foundation for yield modeling, geospatial analysis, and studies of weather-soil-yield dynamics.&lt;/p&gt;
description: The project aims to create a dataset of county-level yearly corn yield, soil, and daily weather data (temperature and rainfall) of Indiana, USA, from 2001 to 2023 to evaluate the relationship between weather, soil, and yield.
DOI: 10.4231/kt69-1r91
title: Data for fish reproductive phenology shifts with increasing temperature and year

description: &lt;p&gt;We applied a meta-analysis approach to test whether increasing annual temperature and year affected fish reproductive phenology. Based on preliminary tests pre-existing of walleye (&lt;em&gt;Sander vitreus&lt;/em&gt;) and Lake Constance whitefish (&lt;em&gt;Coregonus arenicolus&lt;/em&gt;) agency datasets, we hypothesized that increasing temperature would promote earlier spring-spawning, and later fall-spawning. We found significantly earlier spawning in the spring and later spawning in the fall. We also found that migration timing of fall-spawning species occurred earlier with warmer temperatures, implying that with increasing temperatures, migrating fall-spawning species will increase residence time in tributaries. We also found that spring-spawning fishes reproduced earlier in more recent years of our dataset, and we observed no significant effect in fall-spawners. Spring- and fall-spawning fishes displayed variation in reproductive phenology (mean range of 34.4 and 27.0 days over 33.9 years, respectively), and spring-spawning fishes displayed a significantly broader range in spawning dates.&lt;/p&gt;
description: Data for meta-analysis of temperature and year effects on fish reproductive phenology.
DOI: 10.4231/6vg5-5386
title: NCR-Stat: Small Business Survey

description: &lt;p&gt;Rural businesses are essential to their communities, often employing rural residents and impacting the local economy. This survey includes data on small business owners, copreneurs, small business benefits, substance misuse and mental health, workforce development, trust and community, adjustment strategies, socioemotional wealth, financials, and business owners&rsquo; households. The NCR-Stat: Small Business Survey focuses on the intersection of small businesses, benefits, and rural health.&lt;/p&gt;

&lt;p&gt;The primary purpose of this survey is to learn more about small business owners and what benefits they provide to their employees. All data gathered via the NCR-Stat: Small Business Survey are available for those who want to use the data as a baseline for further research and to extend the portfolio of already existing databases. The information gathered from this survey is intended to be shared with communities, organizations, and decision-makers to help inform future policies and programs and better support small businesses and workforce development in the North Central Region.&lt;/p&gt;

&lt;p&gt;The survey was designed as an online survey using Qualtrics. Qualtrics&reg; distributed the survey and gathered data based on pre-defined sampling quotas and screening questions. The goal was to maximize participation in the survey throughout the states, across rural and urban areas, race and ethnicity, and gender. Based on the population characteristics of each NCR state, Qualtrics&reg; deployed an online survey to small business owners in Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin. The final number of respondents is 1,287, all of which are small business owners in the North Central Region.&lt;/p&gt;
description: The NCRCRD collected data about small businesses in the North Central Region. The dataset includes 1,287 responses from small business owners, including information on owners, health and wellness in the workplace, and more.
DOI: 10.4231/6x3a-h790
title: Rapid Detection of IDH Mutations in Gliomas by Intraoperative Mass Spectrometry

description: &lt;p&gt;Glioma is the most common neoplasm in the central nervous system. According to the World Health Organization (WHO) classification of tumors of the central nervous system, adult gliomas are classified into IDH mutant (IDH-mut) and IDH wildtype (IDH-wt). IDH mutation status plays an important role in the diagnosis and prognosis as patients with IDH-mutant glioma exhibit higher survival rates. Tumor resection through craniotomy surgery is the most important prognostic modulator in glioma patients. However, the maximal tumor resection is difficult to achieve due to the diffuse nature of gliomas, which demands sensitive and rapid tools for intraoperative diagnosis. The commonly utilized methods for molecular diagnosis, immunohistochemistry (IHC) and genetic testing, don&rsquo;t satisfy the requirements for intraoperative evaluations. IDH-mut enzyme converts &alpha;-ketoglutaric acid to 2-hydroxyglutarate (2HG), which is a unique oncometabolite in IDH-mut glioma. Desorption electrospray ionization mass spectrometry (DESI-MS) and direct capillary spray (DCS) MS are rapid and sensitive tools that enable detection of IDH mutation in brain tissue with minimal sample preparation. This dataset includes tandem MS results which were obtained intraoperatively by DESI-MS and DCS-MS at Mayo Clinic, Jacksonville, Florida, USA and Huashan Hospital, Shanghai, China, respectively. The results provided here are representative of all the data collected; included are DESI-MS data from the eight tissue biopsies of subject 53 at Mayo Clinic.&lt;/p&gt;
description: This data set comprises the full mass spectra and tandem mass spectra associated with the analysis of all biopsies of two representative patients from a study focused on IDH mutation detection via intraoperative mass spectrometry.
DOI: 10.4231/zjm7-a207
title: Quantifying the impacts of wildfires on soil thermal, hydrological and carbon dynamics in northern Eurasia from 2003 to 2016

description: &lt;p&gt;We use a process-based biogeochemistry model to simulate the fire impacts on soil physical regime and carbon budget of forest ecosystems in Northern Eurasia during 2003-2016 based on satellite-derived burn severity data. We find that fire severity generally increases in this region during the study period. Simulations indicate that fires increase soil temperature by 0.2-0.5 &lt;sup&gt;&deg;&lt;/sup&gt;C through removing the ground moss and surface soil organic matter, especially in Asian part of the region. Fires also increase water runoff by about 131 million m&lt;sup&gt;3&lt;/sup&gt; yr&lt;sup&gt;-1&lt;/sup&gt; through reducing post-fire evapotranspiration, leading to a higher regional river discharge. Fires remove 1.7 Pg C of ecosystem carbon through combustion emissions during this period, and reduce net ecosystem production from 106.4 to 66.1 Tg C yr&lt;sup&gt;-1&lt;/sup&gt;.  Fires lead  the forest ecosystems lose 2.3 Pg C, shifting boreal forests from a carbon sink to a source in this period. Our study highlights the importance of wildfires in affecting soil thermal and hydrological and carbon dynamics in boreal forests.&lt;/p&gt;
description: It contains simulation results of TEM in Eurasia during 2003-2016.
DOI: 10.4231/mx1s-8k16
title: A wearable real-time particulate monitor demonstrates that soaking hay reduces dust exposure

description: &lt;p&gt;Personal measures of exposure are needed in order to understand the effect of particulate matter (PM) exposures upon respiratory health. Asthma is a common respiratory disease in horses of all ages and breeds and has been linked to PM exposures from forages. A wearable, real-time PM monitor incorporating an optical particle sensor was developed to facilitate exposure studies in horses. Side by side sampling with tapered element oscillating microbalances (TEOMs) under varying concentrations of organic hay dust allowed characterization of the monitors&#39; performance as well as calibration for correction of raw data with a PM source pertinent to equine studies. The monitors were found to perform with good precision but require significant correction of raw data to provide accurate estimates of gravimetric PM exposures. The monitors proved useful in demonstrating a difference in PM exposures when horses are fed dry hay compared to when they are fed soaked hay.&lt;/p&gt;
description: These data were collected to calibrate a purpose-built, real-time, wearable particulate monitor for use on horses and to demonstrate the utility of the monitor by comparing exposures when horses were fed dry or soaked hay.
DOI: 10.4231/5pep-y543
title: Molecular signatures of longissimus dorsi muscle are distinct between multiparous dairy cattle with differing prepartum muscle reserves and altered by branched-chain volatile fatty acid supplementation

description: &lt;p&gt;Dairy cattle with high (HM) versus low muscle (LM) reserves exhibit distinct temporal changes in &lt;i&gt;longissimus dorsi&lt;/i&gt; muscle depth (LDD) in late gestation. Branched-chain volatile fatty acids (BCVFA) supplementation increased blood glucose concentrations. We hypothesized that differences in HM and LM reflect distinct muscle metabolism and BCVFA supplementation altered metabolic pathways. Our objective was to compare &lt;i&gt;longissimus dorsi&lt;/i&gt; muscle transcriptomes and morphology between HM and LM cows and in response to BCVFA supplementation. Data presented is from RNA sequencing analysis of biopsies of the &lt;em&gt;longissimus dorsi&lt;/em&gt; muscle in dairy cattle taken 21 days before expected calving. Cows were assigned to high muscle (HM; &gt; 4.6 cm depth) or low muscle (LM; &le; 4.6 cm) groups based on prepartum muscle depth assessed with ultrasonagraphy. Within these muscle groups, cows were supplemented with a control (CON) diet or branched-chain volatile fatty acids (BCVFA) diet resulting in 4 different group treatments used in the current study: HM-CON (n=13), HM-BCVFA (n=10), LM-CON (n=9), and LM-BCVFA (n=9). Muscle biopsy samples (100 mg) were sent on dry ice to Genewiz, Azenta Life Sciences (South Plainfield, NJ) for isolation of total RNA and next-generation sequencing through their Standard RNA-Seq Data Analysis Package program. &lt;/p&gt;
description: Differences in prepartum muscle reserves reflect distinct muscle metabolism and branched-chain volatile fatty acid supplementation altered metabolic pathways.
DOI: 10.4231/nr0b-ej07
title: A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture

description: &lt;p&gt;Accurate prediction of surface soil moisture (SSM) is vital for understanding the complex interactions between terrestrial and atmospheric processes, with significant implications for weather forecasting, agriculture, and water management. In this study, we introduce an innovative Physics-Guided Deep Learning (PGDL) model by integrating the process-based insights of the Terrestrial Ecosystem Model (TEM) with the dynamic predictive capabilities of Long Short-Term Memory (LSTM) networks to improve the SSM prediction. The PGDL model leverages the complementary strengths of the deterministic framework of TEM and the data-driven prowess of LSTM, providing predictions that are deeply rooted in physical processes while capturing complex patterns in data. Our analysis, conducted across eight carefully selected sites within unique vegetation types over the continental United States, evaluates the PGDL model against traditional process-based (PB) models and pure deep-learning (DL) approaches. Results demonstrate the PGDL model is superior in capturing SSM dynamics, with significantly lower RMSE and higher R&sup2; values compared to PB and DL predictions. Our results show that the PGDL modeling framework improves the predictive accuracy of DL models and physical interpretability of PB models, which can serve as a robust tool to predict SSM dynamics.&lt;/p&gt;
description: This dataset contains the main materials for predicting site-level surface soil moisture based on a developed hybrid physics-guided deep learning modeling framework.
DOI: 10.4231/sxce-9x65
title: Molecular changes, histopathology, and ultrasonic vocalization acoustic profiles of systemically dehydrated rats

description: &lt;p&gt;Systemic hydration is known to promote optimal functioning of bodily systems &mdash;including the vocal folds. The impact of systemic dehydration on the biology of the vocal folds and the downstream effects of dehydration on voice output are not well understood. An &lt;em&gt;in vivo&lt;/em&gt; rat model of systemic dehydration was employed to investigate vocal fold gene expression, histological changes, and acoustic changes in vocalization.&lt;/p&gt;

&lt;p&gt;Ultrasonic vocalizations (USVs) were recorded every day for 5 days (baseline), in male and female Long-Evans rats (N = 36, ages: 3-4 months) using a food reward paradigm. Next, rats were dehydrated (N = 18) using a published water-restriction model for 5 days or euhydrated (N = 18) and provided &lt;em&gt;ad libitum&lt;/em&gt; access to water for 5 days. USVs were recorded daily during the dehydration/euhydration period. The USV variables were averaged at baseline and following dehydration/euhydration for individual animals, and the difference between these time periods was used for statistical analysis. USV analysis included total USV count, complexity ratio, duration (s), frequency range (kHz), and maximum intensity (dB). At the end of dehydration/euhydration, animals were euthanized, and kidney and vocal fold tissue samples were dissected and processed for histology and gene expression analysis.&lt;/p&gt;

&lt;p&gt;Compared to euhydrated rats, dehydrated male and female rats had significantly up-regulated gene expression of kidney renin (male &lt;em&gt;p &lt;/em&gt;= 0.047; female &lt;em&gt;p&lt;/em&gt; = 0.018), indicating physiologic dehydration. There were no statistically significant differences in the USV acoustic profile between the two groups. Differential expression (&lt;em&gt;p &lt;/em&gt;&lt; 0.05) of several genes related to extracellular matrix remodeling and water ion transport in the vocal folds was present. Our results indicate that mild systemic dehydration impacts gene expression in the vocal folds; however, these gene expression changes are not evident in the acoustic profile of vocalizations.&lt;/p&gt;
description: Supporting documents for an in vivo rat model of systemic dehydration. Ultrasonic vocalizations, kidney renin gene expression, vocal fold gene expression, and vocal fold histopathology were analyzed to understand the impacts of systemic dehydration.
DOI: 10.4231/qp1t-sc36
title: Pinus banksiana Regeneration Patterns in a Lacustrine Dune System Lacking Fire

description: &lt;p&gt;Successional patterns in lacustrine sand dunes along Lake Superior begin with grass-dominated plant communities leading to the establishment of &lt;em&gt;Pinus banksiana&lt;/em&gt; as initial forests. Using maximum entropy models, we predicted &lt;em&gt;P. banksiana &lt;/em&gt;seedling and sapling patterns within the Grand Sable Dunes, Pictured Rocks National Lakeshore, USA, based on slope, aspect, forest basal area, and vegetation types. There were variable probabilities of seedling and sapling occurrence, with higher likelihoods observed in coastal pine barrens vegetation types. &lt;em&gt;P. banksiana &lt;/em&gt;regeneration is occurring in the Grand Sable Dunes in the absence of fire, with seedlings establishing and saplings being recruited in a variety of vegetation types. Understanding regeneration patterns in dune ecosystems is necessary to predict the future forest arrangement and colonization of &lt;em&gt;P. banksiana &lt;/em&gt;into the dunes. These results contribute insights into the dynamics of plant communities in lacustrine dune systems and their implications for conservation and management strategies in protected areas like Pictured Rocks National Lakeshore.&lt;/p&gt;
description: Pinus banksiana seedling and sapling patterns in Grand Sable Dunes, Pictured Rocks National Lakeshore
DOI: 10.4231/81kk-3e74
title: “You have to stay in your house…because trouble can come”: The impact of education, policy, and COVID-19 on menstruation experiences in Florence, Italy

description: &lt;p&gt;The research study conducted by Dr. Andrea DeMaria as part of her research-based summer study abroad program in Florence, Italy aimed to understand menstruation experiences among women living in Italy, from menarche through menopause. Data were collected through in-person interviews that were audio recorded, along with a brief demographic questionnaire completed by participants. Researchers conducted 28 in-depth, semi-structured interviews (May &ndash; June 2022) with English-speaking women aged 25 &ndash; 60 living in or near Florence, Italy, who had experienced menstruation and for some menopause.  This study aimed to understand how menarche and menstruation impact the multidimensional aspects of women&rsquo;s lives, including how they feel about their bodies. A secondary purpose was to understand menstruation education, policies, and the impacts of COVID-19.&lt;/p&gt;

&lt;p&gt;External and internal influences such as family members, friends, and psychological/physical changes left women with negative feelings surrounding themselves and their bodies during menstruation. Participants revealed cultural and social factors as additional influences on behaviors and attitudes towards menstruation and self-image. A negative view of their genitals changed hygiene and pubic hair removal practices during menstruation. Participants discussed below-satisfactory educational journeys, wide ranges of educators, and difficulties accessing products. However, enthusiasm toward menstrual leave policies following the COVID-19 pandemic was noted.&lt;/p&gt;

&lt;p&gt;Findings highlight menstruation&#39;s impacts on overall health and well-being, including behaviors and feelings. Information from this study can provide insight into helpful ways to holistically discuss menstruation to improve menses experiences among women living in Italy. Revamped menstruation education and policies can enhance menstrual health worldwide and deserve consideration.&lt;/p&gt;
description: The dataset contains one-on-on in-depth interview transcriptions and a thematic analysis codebook with definitions
DOI: 10.4231/7me4-bg45
title: Data for: Simulations of Classical Three-Body Thermalization in One Dimension

description: &lt;p&gt;This data is for a paper where one-dimensional systems, such as nanowires or electrons moving along strong magnetic field lines, have peculiar thermalization physics. The binary collision of point-like particles, typically the dominant process for reaching thermal equilibrium in higher dimensional systems, cannot thermalize a 1D system. We study how dilute classical 1D gases thermalize through three-body collisions. We consider a system of identical classical point particles with pairwise repulsive inverse power-law potential or the pairwise Lennard-Jones potential. Using Monte Carlo methods, we compute a collision kernel and use it in the Boltzmann equation to evolve a perturbed thermal state with temperature T toward equilibrium. We explain the shape of the kernel and its dependence on the system parameters. Additionally, we implement molecular dynamics simulations of a manybody gas and show agreement with the Boltzmann evolution in the low density limit. For the inverse power-law potential, the rate of thermalization is proportional to simple function of &rho; and T where &rho; is the number density. The corresponding proportionality constant decreases with increasing n.&lt;/p&gt;
description: Data used in the figures of Phys. Rev. E ???, ?????? (2024 ) (M. Eltohfa et al) with short information in FILE_INFO.txt. Also contains .eps files and gnuplot routines.