cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27850719.v2
title: Expression of 1474 genes co-expressed with DcMYC2b in the turquoise module.

description: <i>Dendrobium catenatum</i> is an orchid herb used in traditional Chinese medicine with high pharmacological and nutritional value. <i>D. catenatum</i> obtained by simulated wild cultivation is highly favored due to its high quality. However, southern blight disease caused by<i> </i><i>Sclerotium delphinii</i> leads to devastating losses in simulated wild cultivation of <i>D. catenatum</i>. Previously, we showed that the core jasmonic acid (JA) signaling factor DcMYC2b positively regulates plant defense against southern blight disease. We found that the MYC2 mode of action in plant defense is species-specific, but the underlying regulatory mechanism of DcMYC2b is unclear. Here, a comprehensive analysis involving weighted gene coexpression network analysis (WGCNA), metabolomics, and transcription factor -centered yeast one-hybrid (TF-centered Y1H) assays was performed to elucidate the crosstalk between the core JA signaling and phenylpropanoid pathways, as well as the molecular mechanisms underlying the defense of <i>D. catenatum</i> against southern blight disease.
DOI: 10.13020/d6g014
title: White-tailed deer density estimates across the eastern United States, 2008
DOI: 10.17632/2bbnf77kr9
title: Are monetary policy shocks causal to bank health? Evidence from the euro area

description: Time series, high-frequency data on euro area banks,
data on bank health in the euro area

The data were used for an event study to examine the (causal) influence of ECB monetary policy on a range of bank health indicators, sample 1999 to 2017, ECB meeting data and monthly data.

The study shows through a high-frequency identification approach that the causal effect of conventional monetary policy action and communication by the ECB on bank stock prices differed over time, whereas its influence on bank financing costs was robust. The study also provides new evidence showing that information effects related to policy easing surprises in the aftermath of the 2008 financial crisis hampered the ECB efforts to improve bank health and that its Odyssean communication signals (related to forward-looking announcements of policy easing) supported bank health during this phase. Local projections suggest that the response of banks to monetary policy shocks displayed some persistence, where ECB policy surprises and communications that shifted up (down) the yield curve were normally positive (negative) for bank health. The findings solicit a new perspective when assessing the influence of the ECB’s monetary policy measures on euro area banks.

For details see the summary table of the dataset and the (forthcoming) publication in Journal of Macroeconomics.
DOI: 10.6084/m9.figshare.16786513.v2
title: Trained Discover Class for Materials Discovery

description: Trained materials discovery Python Discover() class for Materials Project elasticity data.<br>Install dependencies via:```bashpip install mat_discover```<br>Load via:<br>```pythonfrom mat_discover.mat_discover_ import Discoverdisc = Discover().load("disc.pkl")```<br>To see the attributes of the Discover() class:<br>```pythondir(disc)```<br>For documentation, see the linked GitHub repository.
DOI: 10.6084/m9.figshare.27708315.v1
title: Genomic ancestry and GUSB gene expression data

description: Analysis of <i>GUSB</i> gene expression profile and genomic ancestry for MPS VII. The analysis of <i>GUSB</i> gene expression is a case-control study in which the sample consisted of 23 individuals divided into two groups: a control group of 20 individuals without the disease and an MPS VII group of one patient with the new variant and his parents (heterozygotes). The study of genomic ancestry of MPS VII is a retrospective cohort study in which samples for ancestry analysis consisted of 5 of the 13 patients with MPS VII.
DOI: 10.17632/y27dxnyrj3
title: Continuous glucose monitoring: new diabetes portal

description: In the new Abbott Diabetes Portal, leading specialists teach certified and on-demand courses on the latest advances in continuous glucose monitoring and technology applied to diabetes. Exclusively for health professionals.
DOI: 10.6084/m9.figshare.12909563.v2
title: Ext.F 10 -SF21 - CT EL - DR3_PC71BM EL and EQE and fits.dat

description: Electroluminescence spectra of DR3- and PM6-based blends, and their decomposition as the sum of a neat acceptor emission and a Gaussian representing the charge transfer state energy. As presented in Supplementary Information Figure S21, and Extended Data Figure 10 (for PM6).<br><br>Plus for the case of DR3:PCBM sensitive EQE spectrum and fit of the charge transfer state contribution to it by a Gaussian.<br>
DOI: 10.6084/m9.figshare.16577954.v1
title: CNVRs Identified in Afghan Arabian Sheep Breeds.csv

description: The CNVRs identified in Afghan sheep breeds: The aim of this study was to identify CNVs in 45 Afghan sheep consisting of three Arab, Baluchi, and Gedic breeds using genomic arrays containing 53862 single nucleotide polymorphism (SNP) markers. Data were analyzed using the Hidden Markov Model (HMM) of PennCNV software.
DOI: 10.6084/m9.figshare.21330423.v1
title: Supplementary Material for: CT-defined fat composition as a prognostic marker in gastric adenocarcinoma: a systematic review and meta-analysis.

description: Background: Computed tomography (CT)-defined fat quantification has been an emergent field of research in oncology. It was shown that this parameter is predictive and prognostic of several clinically relevant factors in several tumor entities. Objective: Our aim was to establish the effect of visceral and subcutaneous fat areas on overall survival (OS), disease-free survival (DFS), and postoperative complications in gastric cancer patients based on a large patient sample. Methods: MEDLINE library, EMBASE and SCOPUS databases were screened for the associations between visceral (VFA) and subcutaneous fat areas (SFA) defined by CT images and OS, DFS, and postoperative complications in gastric cancer patients up to August 2022. The primary endpoint of the systematic review was the hazard ratio for the outcome parameters. In total, 9 studies were suitable for the analysis and included into the present study. Results: The included studies comprised 3713 patients. The identified frequency of visceral obesity was 44.9%. The pooled hazard ratio for the effect of high VFA on OS was 1.28 (95% CI 1.09-1.49, p=0.002). For SFA, it was 1.87 (95% CI 1.45-2.42, p&lt;0.0001). The pooled hazard ratio for the influence of high VFA on DFS was 1.17 (95% CI 0.95-1.43, p=0.14). The pooled odds ratio for the associations between VFA and postoperative complications was 1.36 (95% CI 1.09-1.69, p=0.006). Conclusion: CT-defined visceral and subcutaneous fat areas influence overall survival in patients with gastric cancer. VFA influences also occurrence of postoperative complications. Therefore, assessment of fat areas should be included into clinical routine in patients with gastric cancer.
DOI: 10.6084/m9.figshare.29107613.v2
title: Comparison between corn leaf aphid Rhopalosiphum maidis Fitch (Hemiptera: Aphididae) endosymbiotic microbiome and soil microbiome diversity under different management and climate

description: The<b> </b>corn leaf aphid, <i>Rhopalosiphum maidis</i> Fitch (Hemiptera: <i>Aphididae</i>), microbial symbiont and nine soil type microbial diversity, where maize are cultivated were genetically analyzed, along a gradient of maize management systems, that includes three different crop control strategies from three climatic regions. The central point of interest was to assess whether any similarity could be detected between the corn leaf aphid's rapid distribution increase throughout mainland Europe and variation in its endosymbiont microbiome diversity. According to the results, significant positive relationships between some symbiont bacterial species and climate conditions were detected, including increases in the abundances of two secondary (or facultative) symbiont species, <i>Serratia symbiotica</i> and <i>Wolbachia </i>spp.<i> </i>under extreme climate conditions (high and low temperatures), whereas only a low abundance of the obligate primary symbiont, <i>Buchnera aphidicola</i> was observed under these same climate conditions. Less effects of soil types were detected. Our study comprises the first comprehensive analyses about a pest aphid and its associated symbiont fauna in relation to ambient temperature conditions, and as such, we believe may well help in the development of new control strategies.
DOI: 10.6084/m9.figshare.7122332.v1
title: Biopolymer networks. Skeletons and spatial graphs

description: Biopolymer networks from Actin and polysacharides: Pectin and Carragenan. Denoised, binarized, skeletonized (thinning), and converted into a spatial graph for statistical analysis. <br><br>Read more in the chapter 5 of my thesis (TODO: update to final Massey University link).<br><br>Thesis (overleaf): https://www.overleaf.com/7261677bpwjxpsxjwqc#/25095960/<br><br>
DOI: 10.17632/9ttbpkwp3j
title: Data about Teachers' Perspectives Developing Digital Literacy for Secondary School Students

description: This dataset provides detailed information about lower secondary school teachers' perceptions and assessments of the current state of digital competency development for lower secondary school students in Vietnam. The dataset encompasses five main aspects from teachers' perspectives: (a) General teacher information, including province name, region, gender, age, years of service and educational qualifications, subjects currently teaching at school; (b) Teachers' understanding of digital competency and their assessment of the role of digital competency for students; (c) Conditions necessary to implement educational activities aimed at developing students' digital competency; (d) Current activities of teachers and schools (regarding the use of equipment, IT infrastructure, teaching methods, assessment activities); (e) Effectiveness of activities (regarding teaching methods, testing, assessment) aimed at developing digital competency for students. Data collection was conducted online via Google Forms from March 1-20, 2024, with the participation of 7,415 lower secondary school teachers from thirteen provinces in Vietnam. This dataset aims to provide valuable detailed information for policymakers and educational administrators about the current context in schools regarding educational activities aimed at developing digital competency for lower secondary school students. Additionally, this dataset serves as a basis for proposing solutions to develop students' digital competency, while helping lower secondary schools have direction in strengthening support for teachers to participate in training and professional development aimed at developing digital competency for learners. Educational administrators and researchers can use this data to better understand pedagogical requirements such as teacher training and policy development related to students' digital competency development. Furthermore, this dataset can help educational technology developers understand the needs, readiness, and use of equipment and IT infrastructure in teaching to develop students' digital competency across subjects. Overall, this dataset is valuable in providing an overview from teachers' perspectives on the current state of teaching aimed at developing digital competency for students in lower secondary schools for school leaders and educational policymakers in developing strategies, policies and guidelines appropriate to reality in training future human resources to achieve certain proficiency in digital skills.
DOI: 10.17632/c9kgj9b7fx
title: Assessing Risk Factors in Last-Mile Delivery Driving: A Multi-Method Longitudinal Field Study

description: Raw and processed data for the following article: Assessing Risk Factors in Last-Mile Delivery Driving: A Multi-Method Longitudinal Field Study
DOI: 10.6084/m9.figshare.14375624.v1
title: Data_File3.xlsx

description: Data file (.xlsx) containing log2 fold changes values of RNA-Seq and qPCR data of selected genes used to generate bar graph for validation of RNA-Seq data by q-PCR.
DOI: 10.6084/m9.figshare.27069094.v1
title: Raw Data for "A Systematic Review and Meta-Analysis of 90 Cohort Studies of Social Isolation, Loneliness, and Mortality"

description: This dataset contains the raw data used in the systematic review and meta-analysis titled "A Systematic Review and Meta-Analysis of 90 Cohort Studies of Social Isolation, Loneliness, and Mortality" (available at: https://pubmed.ncbi.nlm.nih.gov/37337095/). The study investigates the relationship between social isolation, loneliness, and mortality by synthesizing data from 90 cohort studies. The dataset includes information on study characteristics, population demographics, exposure measures (social isolation and loneliness), outcomes (mortality), and effect estimates. This data is essential for replicating the findings and conducting further analyses related to social isolation and health outcomes.
DOI: 10.6084/m9.figshare.28756673.v1
title: Base de datos de Composición Química Proximal de Larvas de Tenebrio mmolitor

description: Se recolecto datos de composición química proximal de larvas de Tenebrio molitor, alimentados de diferentes fuentes
DOI: 10.6084/m9.figshare.28924697.v1
title: Items of the questionnaire (250503).docx

description: Workplace ostracism and cyberbullying are two prevalent negative behaviors. Most existing research examines workplace ostracism primarily from the victim's perspective, while studies on cyberbullying often focus on the perpetrator's viewpoint. Experiencing workplace ostracism frequently leads to feelings of frustration and low self-esteem, which can subsequently result in increased aggression. Compared to their male counterparts, female employees tend to be more sensitive, and this heightened sensitivity can have a detrimental impact on their interpersonal relationships in the face of workplace ostracism. Thus, it is essential to explore whether female employees who experience workplace ostracism transition from being "victims" to "perpetrators" in their behavioral choices.
DOI: 10.15468/dl.76wuen
title: Occurrence Download

description: A dataset containing 5305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linaria genistifolia (L.) Mill.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5305 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013346-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bth55gv3my
title: Estimating combined effects of climate change and land cover change on water regulation services of urban wetlands in Valdivia, Chile

description: Data used in support of: Sauer et al., "Estimating combined effects of climate change and land cover change on water regulation services of urban wetlands in Valdivia, Chile"
DOI: 10.17632/n3bt4vjh79
title: Data for: Changing Landscape of Emergency Management Research: A Systematic Review with Bibliometric Analysis

description: This is a data from Web-of-Science Core Collection by Clarivate Analytics. This can be used as inputs for VOSView (2019) for bibliometric analysis.
DOI: 10.17632/w359fz96rb
title: Longitudinal Data on Implementing an Activity-Based Work Environment

description: Using a longitudinal field survey, we collected data on how implementing an activity-based work environment impacts perceived productivity, job satisfaction, and job strain across time [1]. The sample consisted of 100 employees in a government organization implementing an activity-based working environment with each employee surveyed on three time-points—Time 1–Time 3. The sample included all employees affected by the implementation. At each time-point, the response rate was 87%, 75%, and 69%, respectively, resulting in a total of 231 measurements. The sample was approximately 75% female at each time-point. Data collection took place about two months before the activity-based environment was implemented (condition 1), again about four months after implementation (condition 2), and finally, about nine months after implementation (condition 3). The physical work environment in conditions 2 and 3 was exactly the same. The only difference being that employees had spent more time in the new work environment in condition 3.
DOI: 10.6084/m9.figshare.22699341.v1
title: CombMaskArray.npy from Manipulating nest architecture reveals three-dimensional building strategies and colony resilience in honeybees

description: Form follows function throughout the development of an organism. This principle should apply beyond the organism to the nests they build, but empirical studies are lacking. Honeybees provide a uniquely suited system to study nest form and function throughout development because we can image the three-dimensional structure repeatedly and non-destructively. Here, we tracked nest-wide comb growth in six colonies over 45 days (control colonies) and found that colonies have a stereotypical process of development that maintains a spheroid nest shape. To experimentally test if nest structure is important for colony function, we shuffled the nests of an additional six colonies, weekly rearranging the comb positions and orientations (shuffled colonies). Surprisingly, we found no differences between control and shuffled colonies in multiple colony performance metrics—worker population, comb area, hive weight and nest temperature. However, using predictive modelling to examine how workers allocate comb to expand their nests, we show that shuffled colonies compensate for these disruptions by accounting for the three-dimensional structure to reconnect their nest. This suggests that nest architecture is more flexible than previously thought, and that superorganisms have mechanisms to compensate for drastic architectural perturbations and maintain colony function.
DOI: 10.17632/bnm63kcxj2
title: The contribution of climate-smart agriculture to the environmental sustainability of the agricultural economy

description: The dataset combines the statistics of "Global Food Security Index 2022" by The Economist Newspaper Limited on the following indicators:
1) Early-warning measures / climate-smart Agriculture;
2) sustainable agriculture.
Statistics are provided for four categories of countries, identified by the criterion of differences in income levels (GDP per capita): Low income; middle income; upper middle income;
lower middle income.
DOI: 10.6084/m9.figshare.21316533.v1
title: NMR raw data to article: Glycolytic flux control by drugging phosphoglycolate phosphatase

description: NMR raw datasets to publication: Glycolytic flux control by drugging phosphoglycolate phosphatase. Folders with raw data; each sample has two experiment numbers for the <sup>1</sup>H and <sup>31</sup>P experiments. Excel file contains NMR sample numbers for dataset identification, and corresponding metabolite concentration values based on raw data analysis.
DOI: 10.6084/m9.figshare.28521101.v1
title: Data from: How to reduce ammonia to reach the critical level and air quality target

description: Data used for the validation of the simulation and the original data.
DOI: 10.6084/m9.figshare.28797821.v1
title: Plant functional trait expression and insect herbivore performance metrics in a drought and pest simulation greenhouse experiment

description: This data set includes insect herbivory and growth rates recorded on pots in a greenhouse pest and drought simulation experiment at the University of Maryland in College Park, MD, from July to September 2022. We sampled plant functional traits such as photosynthetic and photoprotection parameters, as well as specific leaf area, percent leaf water content, and plant performance traits, eight weeks after planting on 576 experimental soybeans inoculated with one of 24 rhizobial strains collected from a single field population in Central Maryland.
DOI: 10.6084/m9.figshare.9971426.v1
title: Left, Right, Left, Right: Chemotaxing Neutrophils Enter Alternative Branches at Capillary Bifurcations

description: Data for Figures 2 to 7
DOI: 10.17632/c2g66gycvx
title: Summary of Clinical Variants Analyzed for Underdiagnosis

description: From Forrest et al., "Genome-first evaluation with exome sequence and clinical data uncovers underdiagnosed genetic disorders in a large healthcare system" (Cell Reports Medicine, 2023)
DOI: 10.6084/m9.figshare.25127627.v1
title: Ranking and classification experiment database

description: This zip contains the rankings and ranking cutoffs of the CVs made by the experiment's participants and the general metadata associated with each participant in a database format. Special Python functions are provided to query this database.
DOI: 10.6084/m9.figshare.26063938.v1
title: Genome assembly of autotetraploid potato (<i>Solanum</i> <i>tuberosum</i>) C88

description: The genome assembly of potato (<i>Solanum</i> <i>tuberosum</i>) C88 used for validating HapHiC (https://github.com/zengxiaofei/HapHiC). This genome was assembled with only PacBio HiFi reads (accession numbers: CRR381044, CRR381045, CRR381046, and CRR381047 on NGDC, https://ngdc.cncb.ac.cn) using hifiasm (version 0.19.0-r534).
DOI: 10.6084/m9.figshare.5401618.v4
title: Overlap integral and R0 values, and A/D ratios

description: This Excel spreadsheet, includes the results of calculation of overlap integral and R0 values for all possible combinations of TA and NTD labeled strands (using the data from steady-state fluorescence spectra of all possible singly-labeled dsDNA constructs. See figure S1 and Table S1 for information for relevant doubly-labeled dsDNA constructs.
DOI: 10.17632/3mcz5hy342
title: PIM treatments optimization with PM-TOM using STOPP and Beers criteria and ChatGPT - a case study

description: PM-TOM (Personalized Medicine: Therapy Optimization Method) is a decision support tool designed to find treatments with the minimal STOPP and Beers criteria risks and ADRs caused by ADEs, DDIs, DCIs, DGIs and DFIs. The tool optimizes a treatment by considering drug classes selected by health professionals and applicable to the patient's conditions. 

This data set includes the details of a polypharmacy treatment of an older patient's case at admission to a deprescribing facility, discharge, and after applying the PM-TOM optimization. All three treatments were reviewed by ChatGPT 4.0, trained on a large set of medical literature, which confirmed the benefits of the optimized treatment and its alignment with the Beers and STOPP/START criteria. 

The integrated PM-TOM and ChatGPT approach has several advantages: 
1. PM-TOM simplifies finding and reviewing effective drug regimens, allowing healthcare providers to leverage their expertise more efficiently.
2. Detailed PM-TOM reports facilitate the involvement of pharmacists in monitoring and adjusting polypharmacy treatments. 
3. Targeted PM-TOM recommendations help reduce non-actionable alerts, mitigating alert fatigue and minimizing prescribing errors.
4. PM-TOM rapidly evaluates and optimizes complex treatment plans, enabling consideration of multiple safe alternatives. 
5. When applied at the primary care level, this approach helps prevent and reduce inappropriate prescribing, including prescribing cascades.
6. AI tools like ChatGPT, trained on up-to-date medical information, provide additional insights to help healthcare providers refine treatment plans.