cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26054491.v1
title: Data from: Complementary effects of two plant defense traits on behavior and performance of monarch butterfly caterpillars

description: Plants have evolved multiple defensive traits in response to herbivory; in turn, herbivore specialists evolved adaptive behaviors to avoid or tolerate such defenses. Here, we employ milkweeds (<i>Asclepias</i> spp.) to test two defenses, latex and trichomes, for their independent and interactive effects on behavior and performance of monarch caterpillars (<i>Danaus plexippus</i>). Latex exuded upon damage and the density of leaf trichomes positively correlate across milkweed species, suggesting they may have evolved together as synergistic defenses. Nonetheless, the complementary roles of these two traits have been little-studied. We focus on two behaviors: shaving, or the removal of trichomes, and chewing, which encompasses both deactivation of latex and leaf consumption. In an experiment with seven milkweed species, with and without manipulated latex flow, we found latex to be the primary determinant of reducing chewing, while both defenses positively predicted caterpillar shaving behavior. To further disentangle the effects of correlated latex and trichomes, we conducted a factorial experiment manipulating latex and trichomes on a high latex, high trichome species<i>, </i>the woolly milkweed <i>A. vestita</i>. On plants with latex and trichomes intact, caterpillars spent the most time shaving and least time chewing of all treatment groups, suggesting a possible synergism. These defense-driven behavioral effects decreased later in larval development. Latex and trichomes both impacted monarch performance, increasing mortality and reducing growth of survivors, and these effects were additive. Thus, latex and trichomes represent two important plant defenses with effects on specialist herbivore behavior and implications for insect fitness.
DOI: 10.6084/m9.figshare.7676339.v1
title: Orthodontic treatment time: can it be shortened?

description: Abstract Introduction: In the literature, no consensus has been reached about orthodontic treatment time. Similarly, the determining factors of the latter have not yet been completely elucidated. Objective: The aim of the present article was to deepen the discussion on the major factors influencing orthodontic treatment time, as well as to present some strategies that have proven effective in controlling and shortening it. Method: Based on evidences found in the literature, the method focussed in providing the basis for clinical decision-making. Conclusions: Treatment time varies according to the type of malocclusion and treatment options. Orthodontist’s influence, patient’s characteristics and compliance are all decisive in determining treatment time, while the effects provided by orthodontic appliances and methods used to speed tooth movement up seem little effective.
DOI: 10.17632/dkff5gcyns
title: Shoot and root length for sorghum seedlings

description: Root and shoot length of fifty sorghum seedlings grown under drought and heat stressed conditions induced in vitro (7 days) and ex vitro (21 days)
DOI: 10.6084/m9.figshare.4265366.v1
title: Supplementary Material for: Clinical Utility of Combinatorial Pharmacogenomics-Guided Antidepressant Therapy: Evidence from Three Clinical Studies

description: DNA of 258 patients with treatment-resistant depression was collected in three 8-10 week, two-arm, prospective clinical trials. Forty-four allelic variations were measured in genes for the cytochrome P450 (CYP) enzymes CYP2D6, CYPC19, and CYP1A2, the serotonin transporter (SLC6A4), and the 5-HT<sub>2A</sub> receptor (HTR2A). The combinatorial pharmacogenomic (CPGx™) GeneSight test results were provided to clinicians to support medication changes from baseline (guided arm), or they were provided at the end of each study to clinicians of unguided patients who were treated as usual (TAU). TAU subjects who at baseline were prescribed medications genetically discordant for them showed only a 12% symptom improvement, far less than the 32.5% or 28.5% improvements of the TAU subjects on yellow-category (‘use with caution'; p = 0.002) or green-category medications (‘use as recommended'; p = 0.02), respectively. The odds of a clinical response were increased 2.3-fold among all GeneSight-guided compared to all TAU subjects (p = 0.004), and overall, the guided group had a 53% greater improvement in depressive symptoms (p = 0.0002), a 1.7-fold relative improvement in response (p = 0.01), and a number needed to treat for one clinical response above that seen in the TAU group of 6.07.
DOI: 10.17632/669xrdcwry
title: Alternating Anderson-Richardson method: An efficient alternative to preconditioned Krylov methods for large, sparse linear systems

description: We present the Alternating Anderson-Richardson (AAR) method: an efficient and scalable alternative to preconditioned Krylov solvers for the solution of large, sparse linear systems on high performance computing platforms. Specifically, we generalize the recently proposed Alternating Anderson-Jacobi (AAJ) method (Pratapa et al., 2016) to include preconditioning, discuss efficient parallel implementation, and provide serial MATLAB and parallel C/C++ implementations. In serial applications to nonsymmetric systems, we find that AAR is comparably robust to GMRES, using the same preconditioning, while often outperforming it in time to solution; and find AAR to be more robust than Bi-CGSTAB for the problems considered. In parallel applications to the Helmholtz and Poisson equations, we find that AAR shows superior strong and weak scaling to GMRES, Bi-CGSTAB, and Conjugate Gradient (CG) methods, using the same preconditioning, with consistently shorter times to solution at larger processor counts. Finally, in massively parallel applications to the Poisson equation, on up to 110,592 processors, we find that AAR shows superior strong and weak scaling to CG, with shorter minimum time to solution. We thus find that AAR offers a robust and efficient alternative to current state-of-the-art solvers, with increasing advantages as the number of processors grows.
DOI: 10.17632/b8gsvfx2bw
title: Crustal 3-D resistivity models of the Central Asian Orogenic Belt inverted with magnetotelluric array data

description: Title: Crustal 3-D resistivity models of the Central Asian Orogenic Belt inverted with magnetotelluric array data
Creator: Gaofeng YE and Xiangcheng YI
Subject: Magnetotelluric model data
Description: To obtain the electrical structure and discuss the closure polarity of the Paleo-Asian Ocean, we inverted 210 MT stations of magnetotelluric (MT) array data. The 3D inversion utilizes the ModEM modular inversion code, developed using the Non-Linear Conjugate Gradient (NLCG) method. From 2010 to 2021, China University of Geosciences (Beijing) and the Institute of Geology and Geophysics, Chinese Academy of Sciences jointly recorded MT data in and around the central segment of the Central Asian Orogenic Belt. The equipment used included the MTU-5A and MTU-5C from Phoenix Geophysics Ltd. Canada, and the SEP system developed by the Institute of Geology and Geophysics, Chinese Academy of Sciences. Some broadband MT (BBMT) data were recorded using the MTU-5A and the SEP system, while some audio MT (AMT) data and BBMT data were simultaneously recorded using the MTU-5C. The BBMT dataset can be pre-processed using SSMT2000, while the AMT+BBMT dataset can be processed using Empower, a commercial software from Phoenix Geophysics. The folder “./ Coordinates” contains file: “MT_Stations.txt”, coordinates of all inverted broadband MT stations in Longitude/Latitude format. The folder “./ 3D model” contains resistivity model from 3D inversion.
Contributor: Kejie YANG, Gaofeng YE, Xiangcheng YI, Sheng JIN, Hao DONG
Date: 2010 to 2021
Type: Coordinate files, Resistivity models
Format: Plain text
Rights: China University of Geosciences, Beijing
DOI: 10.6084/m9.figshare.12798296.v16
title: Data and code from Rizzuto et al. “Forage stoichiometry predicts home range size in a small terrestrial herbivore"

description: Data and code used in Rizzuto et al. "Forage stoichiometry predicts home range size in a small terrestrial herbivore”.<br>The “SupportingCode.html” file provides an in-depth description and discussion of our R workflow to estimate home range size of snowshoe hare and investigate its relationship with the ecological stoichiometry of preferred plant forage species. <br><br>If you would like to reproduce our analyses, you can recompile the R notebook “SupportingCode.Rmd”. This is a modular document that collects the output of 8 other R notebooks. For correct compilation of the SupportingCode.Rmd file, please organize the files in this repository on your machine as follows:<br>- all .Rmd and .R files in a "../Code/“ folder- all .csv files in a "../Data/" folder- all .tiff files in a “../Data/StDMs_Rasters/Ratios/" folder- unzip the SamplePoints.zip file in a "../Data/GridPoints/" folder- all .rds files in a "../Results/" folder<br>Where the Code, Data, and Results folder all share the same root.<br>Please note that access to some shapefiles used to produce the maps in the manuscript, SI, or Supporting Code document was regulated by agreements with the Government of Newfoundland and Labrador and the Federal Government of Canada. As such, they could not be publicly shared. This does not impact the analyses, only the production of some visual supporting material (e.g., study area maps). Please contact the corresponding author (M. Rizzuto) for any question. <br> See README.md for details on the repository’s contents.
DOI: 10.6084/m9.figshare.6850643.v2
title: Data from: Ecosystem type shapes trophic position and omnivory in fish

description: This file includes global data for fishes compliled from (http://www.fishbase.org). The database included 5,726 species distributed in 53 orders based on three common feeding strategies (herbivory, filter-feeding and predatory).
DOI: 10.6084/m9.figshare.16528569.v1
title: BMC_magome.xlsx

description: This data was obtained from keratoconus patients.
DOI: 10.17632/pxnb7gh646
title: Augmented Smart Home with Weather Information

description: This dataset builds upon the publicly available work by Taranvee, who collected household energy consumption data at one-minute resolution from a smart meter monitoring multiple appliances (e.g., dishwasher, home office, fridge, kitchen). The original release also includes regional weather information (humidity, temperature, atmospheric pressure, etc.), providing a rich contextual layer for understanding how environmental factors influence residential power usage.

In this augmented version, we introduce additional consumption columns representing distinct IoT devices, Car charger,Water heater,Air conditioning,Home Theater,Outdoor lights,microwave,Laundry,Pool Pump

Each of these new columns tracks an appliance's energy usage in kilowatts ([kW]), effectively broadening the dataset’s scope for modeling complex, multi-device scenarios within a single smart home

Original work: https://www.kaggle.com/datasets/taranvee/smart-home-dataset-with-weather-information
DOI: 10.17632/jb5678g5y8
title: Motor insurance claim severity

description: Data on the cost of 489 individual car accidents occurred in Spain in 2011. The data is a random sample provided by an insurer. Each accident has information on total cost in thousand Euros, information on the driver and telematics information on driving patterns.
DOI: 10.17632/pwnnwczs2k
title: datas_GestaoEstoques

description: Below, There is five files: The first one presents the calculation for the accuracy of the itens. Second one presents the calculation of the turnover and coverage of stock items; third one ABC curve; fourth file Ishikawa; and, finally, fifth detected problems.
DOI: 10.6084/m9.figshare.13151249.v1
title: sequences of 11 DEGs by RNA-seq technology in qKL-2 interval.xls

description: sequences of 11 DEGs by RNA-seq technology in qKL-2 interval
DOI: 10.6084/m9.figshare.24599298.v1
title: Supporting data for - Ekström et al. (2023) Impairing cardiac oxygen supply in swimming coho salmon compromises their heart function and tolerance to acute warming.xlsx

description: Supporting data for, Ekström et al (2023) Impairing cardiac oxygen supply in swimming coho salmon compromises their heart function and tolerance to acute warming. <i>Scientific Reports</i>
DOI: 10.6084/m9.figshare.25479694.v1
title: Supplementary Material for: Delivery Room Resuscitation of Infants with Congenital Diaphragmatic Hernia: Lessons Learned through Video Review

description: Introduction: Delivery room (DR) interventions for infants with congenital diaphragmatic hernia (CDH) are not well described. This study sought to describe timing and order of DR interventions and identify system factors impacting CDH DR resuscitations using a human factors framework.

Methods: Single center observational study of video recorded CDH DR resuscitations documenting timing and order of interventions. The team used the Systems Engineering Initiative for Patient Safety (SEIPS) model to identify system factors impacting DR resuscitations and time to invasive ventilation. 

Results: We analyzed 31 video recorded CDH resuscitations. We observed variability in timing and order of resuscitation tasks. The ‘Internal Environment’ and ‘Tasks’ components of the SEIPS model were prominent factors affecting resuscitation efficiency; significant room and bed spatial constraints exist, and nurses have a significant task burden. Additionally, endotracheal tube preparation was a prominent barrier to timely invasive ventilation.

Conclusion: Video review revealed variation in event timing and order during CDH resuscitations. Standardization of room set-up, equipment, and event order and reallocation of tasks facilitate more efficient intubation and ventilation, representing targets for CDH DR improvement initiatives. This work emphasizes the utility of rigorous human factors review to identify areas for improvement during DR resuscitation.
DOI: 10.17632/gtsd37gdyv
title: Dynamic Stiffness Matrix of a Timoshenko-Ehrenfest beam element with multiple cracked sections: code implementation

description: The files concern the MatLab implementation of the Dynamic Stiffness Matrix of a Timoshenko beam element with multiple cracked sections described in the paper "Exact closed-form Dynamic Stiffness Matrix of damaged frames comprising Timoshenko-Ehrenfest beams", by F. Cannizzaro, I. Fiore, S. Caddemi, I Caliò, Journal of Vibration and Control (2024) DOI: https://doi.org/10.1177/10775463241233055. The instructions for the use of the MatLab code are provided inside the files "BeamElementData.m" and “FrameData.m". In particular, the files are subdivided as follows:
- one example file "BeamElementData.m" for data definition for the construction of the DSM of a Timoskenko beam element with multiple weakened sections;
- one example file "FrameData.m" for data definition for the construction of the DSM of a Timoskenko frame with multiple weakened sections (one of the applications of the paper);
- one folder "private" containing the subroutines for the construction of the DSM according to the paper formulas.
DOI: 10.17632/fzskwpzs5j
title: Serial Section Histopathology Image Dataset

description: Total no. of Colon serial section histopathology images with 10x magnification: 48
Total no. of Colon serial section histopathology images with 40x magnification: 48

Total no. of Pancreas serial section histopathology images with 10x magnification: 36
Total number of Pancreas serial section histopathology images with 40x magnification: 36

Image type: RGB
File format: .tif
Image dimension: 1280x960
Image size: 2.38 MB to 3.51 MB
DOI: 10.17632/pyc374bt43
title: Pediatric Allergic Contact Dermatitis Registry Patch Testing Results from 2016-2022: A Retrospective Study of Age-Related Differences: Supplementary Data

description: Supplementary tables for:
Pediatric Allergic Contact Dermatitis Registry Patch Testing Results from 2016-2022: A Retrospective Study of Age-Related Differences
DOI: 10.17632/t9kynfj5jf
title: Searchable dataset on state-of-the-art agricultural greenhouse gas mitigation measures detailing their potential contribution to emissions abatement and existing gaps in knowledge

description: This comprehensive dataset presents the quality-controlled (QC) results of a systematic review based on peer-reviewed literature and relevant ‘grey’ reports to address the question ’can the agricultural sector in the UK reduce, or offset, its direct agricultural emissions based on existing evidence?’. We considered the different implications of mitigation measures in terms of food security, energy, environmental degradation, and value for money related to the mitigation measures. 
To do so, we followed the Collaboration for Environmental Evidence (CEE) guidelines to create our systematic review. The search included different online scientific databases (e.g., Web of Science Core Collection; Scopus) and specialist websites of relevant UK organisations (e.g., Department for Environment and Rural affairs (Defra) (http://defra.gov.uk/); National Farmers' Union (NFU) (https://www.nfuonline.com/)). We used the search terms within three categories (activity (e.g., ‘arable crops’, ‘pasture’), intervention (e.g., ‘practice’, ‘measure’), and outcome (e.g., ‘carbon footprint’, ‘greenhouse gas emissions’), which were combined using the Boolean operator “OR”. However, we combined the three categories into a search string using the Boolean operator “AND”. The temporal boundary of the literature search included relevant data published between 2017 and 2022. The geographic boundary focussed on UK-specific literature; however, studies which covered global scale, including the UK, were also considered and only UK related data was assessed. 
Article screening was evaluated for relevance based on the eligibility criteria at three levels: title, abstract and full text, using the systematic review software Rayan. Eligible studies were subject to a critical appraisal. We assessed study validity and categorised relevant studies as “validated”, “not validated” and “unclear validity” (the latter could also be considered ‘inconclusive’). Validity criteria included both susceptibility to bias (internal validity: study design, strength of evidence and reliability/replicability) and relevance of the study for our review questions (external validity). A study was categorised to be ‘unclear’ if it did not report sufficient details to judge its validity (e.g., vague methodological description or it is difficult to interpret the efficacy of the mitigation measure). We retained 53 relevant studies covering several agricultural management practices and technologies which can be deployed on farms, in order to help mitigate climate change. 
This novel, open access dataset can inform scientists and policymakers on state-of-the-art GHG-related studies and guide funding bodies to target areas which need urgent attention. Further, it gives agri-food sustainability experts a platform to explore each promising mitigation measure in further detail through, for example, scenario-based Life Cycle Assessments of ‘cradle-to-farmgate’ systems.
DOI: 10.17632/xrksk7r4br
title: Data for: Electoral fraud and voter turnout: An experimental study

description: This dataset contains the data from the a set of laboratory experiments with human subjects run at the University of Milano Bicocca. The experiment was programmed using zTree (Fischbacher, 2007). Our experimental design involved four sessions of each of our two treatments. As we have 27 subjects per session, we have collected data from a total of 216 subjects, from October 2014 to January 2015. Subjects were recruited from the undergraduate population of the University of Milano-Bicocca, via the ORSEE software (Greiner, 2004). No subject participated in more than one session of this experiment. In December 2015 we have run two additional sessions per treatment where the order of the games played by the subject was reversed.
DOI: 10.6084/m9.figshare.28677494.v1
title: rheology.rarIntegrated Bioprinting of Trachea-Like Structures Based on Tissue-Specific bioink

description: database for artical uploaded :"Integrated Bioprinting of Trachea-Like Structures Based on Tissue-Specific bioink"
DOI: 10.17632/892sn9w7g4
title: Millimeter Wave Reflection Data for Semi-Insulating Gallium Nitride on Sapphire Wafer

description: In order to estimate the dielectric properties of materials, we need vector measurements consisting of voltage reflection and transmission of electromagnetic radiation for the material under test (amplitude and phase). A recently developed apparatus for measuring time-resolved charge carrier dynamics in photo-responsive materials for millimeter-wave probe frequencies (TR-mmWC) was used to study dc reflection (amplitude only) characteristics of binary III/V direct bandgap material Gallium Nitride (GaN). Commercial-grade 2" N-GaN (Si-doped, high resistivity) on Sapphire wafer with thickness 430 +/- 25 micrometer and GaN layer thickness of 5 micrometers was used to collect reflected RF data using a Schottky barrier diode detector operable in the 110-170 GHz (D-waveguide band) range with responsivity around 2000 volts/watt. Output voltages of this negative polarity detector were collected in steps of 0.01 GHz. Reference voltages (E0) for reflection were collected by using a highly polished mirror. These data can be used to calculate the reflection coefficient (σ) of semi-insulating GaN. Anomalies in reflected voltages were observed in certain frequencies which may be neglected for this type of analysis. These frequencies to be flagged in the dataset are 110.4 GHz, 110.5GHz, 110.7GHz, 114.2 GHz, 114.7GHz, 114.8 GHz, 114.9GHz, 115GHz, 115.2GHz, 115.4GHz, 118.3GHz, 118.7GHz, and 156.4GHz. The cause of these anomalies could be the creation of standing wave/diffraction effects. Data were collected using Keithley digital multimeter operated with LabVIEW, 500 ms sampling period was used and a 30-sample average and standard deviation of signal voltages were stored in an ASCII-delimited comma-separated variable (.csv) file. Data column 1 is probe frequency, column2 is mirror reflected voltage, column 3 is the standard deviation of mirror reflected voltages. Column 4 is the GaN surface reflected voltage obtained at 65.4 degrees and column 5 is the standard deviation of GaN reflected voltage.
DOI: 10.17632/8z9njj7n92
title: Pre-weaning heat stress alters liver transcriptome and DNA methylation in dairy calves | Laporta et al., JDS

description: This study investigated the impact of pre-weaning heat stress on dairy calves’ hepatic gene expression and DNA methylation. Holstein dairy calves were exposed to summer heat stress (daily average THI &gt; 78) for 42 d postnatally (i.e., birth to weaning) with access to active fan heat abatement (postnatal cooling, post-CL; calf-height airspeed 2.05 m/s, n = 12) or not (postnatal heat stress, post-HS; calf-height airspeed 0.15 m/s, n = 12). 
Liver tissue was harvested via biopsy (n = 6 per treatment) at 42 d of age for RNA sequencing and reduced representation bisulfite sequencing. The data sets in this repository contain the raw data for these analyses, including a list of differentially expressed genes and associated pathways and a list of differentially methylated genes and their related pathways and upstream regulators.