cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25846171.v2
title: <b>Metabolites limiting predator growth wane with prey biodiversity</b>

description: Modeling and engineering microbiomes require a thorough understanding of predator-prey interactions. In soil, nematodes are the main consumer of bacteria, but predicting trophic interactions remains a challenge. Several prey traits potentially impact resistance to predation, but little is known about their effects in a multispecies context. Here we leverage synthetic bacterial communities of varying complexity to reveal the traits driving palatability. We set up predation assays between four nematode species and communities built from 122 bacterial isolates in monoculture or multispecies assemblages. Using nematode size as a measure of prey palatability, we show a strong variability among species, which can be predicted by prey metabolic and morphological properties. Crucially, the relevant traits depended on community complexity. Secondary metabolites drove palatability in monoculture, but this effect vanished under increasing prey biodiversity, where prey size became the dominant predictor of nematode size. This study has major implications for our understanding of microbial ecology in the context of predator-prey interactions. Idiosyncratic properties emphasized in the literature are of minor importance in biodiverse assemblages. In contrast, generalizable traits such as body size, compatible with state-of-the art community dynamics models, reliably predict predator-prey interactions. We conclude that research efforts to decrypt microbial ecology can be guided by deductions based on generalizable biological traits.
DOI: 10.6084/m9.figshare.19725118.v1
title: Nokes Experimental Forest: Leaf Temperature, Stem Radius, and Environmental Condition Data

description: This project contains data and scripts used in the Weygint et al. (2022) manuscript, which was recently submitted to Ecosphere. Specifically, this project contains two data files, one which was used to determine the relationship between photoperiod and the probability of stem radial growth, and the other which was used to explore relationships between conifer leaf temperatures and diurnal stem radial variations using generalized additive mixed models. There are also four R scripts (R Core Team 2021) included here. The first script, titled "Weygint_etal-2022_Question1_Models-Figures" creates GAMMs used to explore the first question asked in Weygint et al. (2022): "Can we use leaf temperature and environmental conditions to predict daily tree water status?" There is also code included to visualize these relationships. The second R script is titled "Weygint_etal-2022_Question2_Models-Figures" and it creates GAMMs to explore the second question asked in Weygint et al. (2022): "Can we use leaf temperatures and environmental conditions to predict daily stem radial growth?" This script also contains code to visualize the observed relationships. The third R script, titled "Weygint_etal-2022_LogisticRegressionModels" creates logistic regression models to determine how the probability of stem radial growth changes with seasonal variability in photoperiod. The final R script, titled "Weygint_etal-2022_SummaryStats-Fig3" calculates summary statistics for the important environmental conditions used in this project. It also creates plots of each of these environmental variables which are included in the manuscript of Weygint et al. (2022) as Figure 3. References: R Core Team. 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. Weygint, W.A., Eitel, J.U.H., Maguire, A.J., Vierling, L.A., Johnson, D.M., Campbell, C.S., Griffin, K.L. 2022. Leaf temperatures and environmental conditions predict daily stem radial variations in temperate coniferous forests. Submitted to Ecosphere.
DOI: 10.17632/yz6mvby9rn
title: Characterizing the 2020 summer floods in South China and effects on croplands. Chen et al.

description: The raw and analyzed data for "Characterizing the 2020 summer floods in South China and effects on croplands" published in iScience.
DOI: 10.6084/m9.figshare.24183801.v4
title: SEQC2 Oncopanel Sequencing Working Group - Extended Benchmarking Indel Set by Manual Review

description: <b>Extend the Benchmarking Indel Set by Manual Review Using the Individual Cell line Sequencing Data from the Sequencing Quality Control 2 (SEQC2) project</b>
DOI: 10.6084/m9.figshare.28869482.v1
title: Raw Data

description: Data for the following manuscript.<b>Evaluation of regional flood frequency analysis models based on river network types in arid and semiarid regions of the USA</b>
DOI: 10.6084/m9.figshare.26860429.v1
title: ERE_Data_Songda_W-TEEF

description: Canopy height damage by typhoon Songda in Northern Hokkaido, Japan, in 2004
DOI: 10.6084/m9.figshare.28876067.v2
title: Coding files_AI in journalism in the MENA region

description: Contains all the files used in coding the 28 research papers examined in the scoping review
DOI: 10.6084/m9.figshare.19116125.v1
title: Existential Vacuum and its Relationship with Family-based Support among Battered Women.pdf

description: <i>This aim of this study was to determine the relationship between existential vacuum and family-based support among battered women who visit Ministry of Social Development protection centers. The correlational approach was used to achieve the study’s goals. The study was conducted on a sample consisted of (127) battered women in Palestine. The current study’s findings revealed a moderate level of existential vacuum and family-based support; as well as an inverse relationship between existential vacuum and family-based support among battered women. Furthermore, there were no differences in the level of existential vacuum among battered women due to the academic qualification, whereas there were differences attributed to the number of children in favor of more than 3 children. The findings also revealed differences in the level of the family-based support among battered women due to the academic qualification in favor of higher than Tawjihi, as well as differences attributed to children variable in favor of (1-3 children). Based on our findings, we recommend that family-based institutions have to provide battered women with all forms of family-based support, as this has a significant impact on their feelings of being prevented from being present, particularly for women with limited access to education.</i>
DOI: 10.6084/m9.figshare.11836596.v1
title: Supplementary Material for: Etiology and Morphology Impact on the Clinical Course of Chronic Pancreatitis

description: <b><i>Background:</i></b> Symptoms caused by chronic pancreatitis (CP) are common but often elusive hampering therapeutic decisions. Though correlations of morphologic findings in imaging and clinical appearance remain vague. We aimed in investigating whether a distinct combination of clinical parameters can better define the extent of pancreatic insufficiency and disease burden. <b><i>Methods:</i></b> Data from 350 CP patients were evaluated retrospectively from a single center data base following predefined criteria: (i) confirmed CP, (ii) endoscopic ultrasound (EUS) plus (iii) fecal elastase-1 testing, (iv) age ≥18 years, and (v) Cambridge Score ≥1 on EUS evaluation. <b><i>Results:</i></b> In total, 182 patients (137 male, 45 female) fulfilled criteria. Median age was 52 years (range 19–88 years). Etiology distributed as follows: idiopathic 50%, alcohol 42.3%, autoimmune 7.7%. Totally, 56.6% of patients suffered from chronic pain that was significantly associated with male sex and younger age. Stool elastase-1 activity discriminated exocrine pancreatic function in Cambridge IV significantly better than in lower stages. Similarly, the endocrine function was significantly more reduced in Cambridge IV CP. Multinominal regression analysis revealed (i) presence of diabetes, (ii) presence of complications, and (iii) extent of Cambridge score as main determinants for exocrine impairment. <b><i>Conclusion:</i></b> A high disease burden is linked to extensive morphological alterations in EUS, while pain is more frequent in younger and male patients. The etiology of CP predicts the course of disease in terms of complications.
DOI: 10.15468/dl.rsyrun
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anaspis maculata Geoffroy, 1785"
 ]
}

 The dataset includes 509 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009383-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.19768369.v1
title: berglund2018spatial_ST_prostate

description: berglund2018spatial_ST_prostate is a spatial transcriptomics datasets, published with a study investigating tissue-wide gene expression heterogeneity throughout a multifocal prostate cancer using the spatial transcriptomics (ST) technology12. There are 14 sub-datasets in ST_ melanoma, which contains triplicates from 4 prostate cancer patients and two extra sample from patient2 and patient3. The number of spots for the 14 sub-datasets with ~17000 gene expression features are 432 (P1.1), 406 (P1.2), 629 (P1.3), 547 (P2.1), 506 (Patient2_E2), 483 (P2.3), 448 (P2.4), 627 (P3.1), 523 (P3.2), 501 (P3.3), 244(Patient3_D1), 688 (P4.1), 324 (P4.2) and 302 (P4.3). The count matrix of berglund2018spatial_ST_prostate dataset was downloaded from https://www.spatialresearch.org/resources-published-datasets/.
DOI: 10.17632/83ktr8mjgz
title: The Development and Validation of an Investigator Global Assessment Score for Keratosis Pilaris

description: Supplementary data for article:
DOI: 10.17632/kgz9b9m8rx
title: Attachment to the mentor at the center of a chain reaction

description: This study aimed to deepen the understanding of the causes and consequences of mentor attachment in faculty-student mentoring relationships by answering the questions of “why and under what conditions mentor attachment may develop” (Robertson & Zhang, 2024) and of “how it intervenes in mentoring’s contributions to student persistence and success”. The first hypothesis was that mentors who demonstrate interest in the academic, professional, and personal aspects of their students are more likely to embody the caring, expert support figure that students need (Mouhib, 2018). Because this figure has similarities to an attachment figure to turn to in times of difficulty (Soucy & Larose, 2000), the second hypothesis was that mentors who embody a caring, expert support figure may encourage mentees to develop an attachment to them, i.e. one that is low on the avoidance and anxiety dimensions. As suggested by Le et al. (2021), the third hypothesis was that mentor attachment may play a role in the contribution of mentoring to student well-being. Since the latter’s effects on success and persistence are well documented (e.g., Bücker et al., 2018), the fourth and fifth hypotheses were that the contribution of mentoring to well-being would be a determinant of its contributions to student persistence and success. This being the case, the two final hypotheses were that each dimension of 3D mentoring could activate a chain reaction that contributes to mentoring benefiting student persistence and success, within which the caring, expert support figure, mentor attachment and well-being would be successive mediators. 
Results support the hypotheses, except for the role of attachment anxiety.
DOI: 10.17632/s6xst3v9bx
title: Database of planetary gear trains suitable for the design of automatic transmission mechanisms

description: The complete databases of tree graphs and planetary gear trains suitable for the design of automatic transmission mechanisms are provided. Upper triangular elements of the adjacency matrix of each graph are stored in the database, where letter “A” represents number “10”, and letter “B” represents number “11”.
DOI: 10.6084/m9.figshare.13560281.v2
title: An Open Dataset for Wearable SSVEP-Based Brain-Computer Interfaces

description: The brain-computer interfaces (BCIs) provide humans a new communication channel by encoding and decoding brain activities. Steady-state visual evoked potential (SSVEP)-based BCI stands out among many BCI paradigms because of its non-invasiveness, little user training, and high information transfer rate (ITR). However, the use of conductive gel and bulky hardware in the traditional Electroencephalogram (EEG) method hinder the application of SSVEP-based BCIs. Besides, continuous visual stimulation in long time use will lead to visual fatigue and pose a new challenges to the practical application. This study presents an open dataset collected with a wearable SSVEP-based BCI system that compared wet and dry electrodes comprehensively with continuous recording of multiple sessions. The dataset consists of 8-channel SSVEP data from 102 healthy subjects while they performed a cue-guided target selecting task with a 12-target SSVEP-based BCI. For each subject, wet and dry electrodes were used to record 10 consecutive blocks respectively in an overall duration of around two hours. The dataset can be used to evaluate the performance of wet and dry electrodes in SSVEP-based BCIs. The dataset also provide sufficient data for developing new target identification algorithms to improve the performance of wearable SSVEP-based BCIs.<br>
DOI: 10.6084/m9.figshare.26094364.v1
title: <b>Robust Remanufacturing Job Shop Scheduling under Carbon Regulatory Policies using Modified Particle Swarm Optimization Algorithm</b>

description: This is the experimental data of the manuscript entitled "Robust Remanufacturing Job Shop Scheduling under Carbon Regulatory Policies using Modified Particle Swarm Optimization Algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are twenty-three instances for these experiments with various scales. The information of the datasets are shown in the csv document, including the number of jobs, the number of operations for each job, arrival time and processing time for each job, power consumption for each machine in the processing and idle state, electrical energy consumption to turn on and off a machine.
DOI: 10.11583/dtu.19689022.v1
title: Onshore wind generation time series for technology SP335 HH150 at resource grade A (PECD 2021 update)

description: This data (csv file) provides simulated hourly time series of onshore wind generation with specific power (SP) 335 W/m2 turbines at hub height (HH) of 150 m for the regions shown in the attached map. The analysed wind power plants are sited at the best 10 % of locations in each region, i.e., in resource grade (RG) A. The map shows the resulting capacity factors (annual mean). The Excel file gives a rough indication if this wind technology is suitable for the different regions for this RG or not. The available land considers all onshore land area of a region, except lakes, cities, and very high elevation locations. The possible impact of any existing onshore wind installations in the region is not considered. Wake losses are modeled, with additional 5 % of other losses and unavailability considered. The time stamps are in GMT; the variable (column) names relate to the region names shown in the maps. The data include also country-level aggregations, e.g., UK00 is the aggregated onshore wind generation of all the UK regions (weighted by regional installed capacities). The data are part of the variable renewable energy generation time series created for ENTSO-E in the 2021 update of the Pan-European Climate Database (PECD) dataset. ENTSO-E has used the data in ERAA 2021 and Winter Outlook 2021-2022 assessments, and they are used in TYNDP 2022. The simulations are carried out by DTU Wind Energy, with the future technology selection and data validation discussed and agreed with ENTSO-E and its members. The linked journal paper (1st link) describes the simulation methodology (combination of ERA5 and GWA data is used). It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the concept of resource grades and how they can be applied in energy system analyses. This item is part of a larger collection of wind and solar data: https://doi.org/10.11583/DTU.c.5939581
DOI: 10.6084/m9.figshare.25800025.v1
title: Med Student Data_12_08_23.xlsx

description: The current investigation aimed to establish preliminary normative data for endoscopic swallow studies (FEES). The investigators collected data for three timing measures (time to whiteout, duration of whiteout, and total swallow time), three swallowing outcomes (safety, efficiency, and number of swallows per bolus), and one physiologic event (glottal response), for both healthy young and older adults using two liquid volumes, one pureed bolus and a solid bolus.
DOI: 10.6084/m9.figshare.3554550.v1
title: Appendix A. Tables showing site characteristics and a description of species used in the three feedback experiments and figures showing predicted variation in associations between soil feedbacks and plant relative abundance, illustrated overview of three-stage feedback experiment, and negative soil feedbacks across species.

description: Tables showing site characteristics and a description of species used in the three feedback experiments and figures showing predicted variation in associations between soil feedbacks and plant relative abundance, illustrated overview of three-stage feedback experiment, and negative soil feedbacks across species.
DOI: 10.23641/asha.21313713.v1
title: Emotional language in Parkinson’s disease (Hazamy & Altmann, 2022)

description: <strong>Purpose:</strong> Emotional processing allows us to predict our own and others’ behavior, communicate our wants and needs, and understand those of others. Thus, deficits in emotional processing can negatively impact one’s quality of life. While changes in emotional processing across several domains (e.g., prosody, faces) in Parkinson’s disease (PD) are widely accepted, there is a dearth of literature, with equivocal results, regarding how emotional language processing is affected by PD. This study investigated emotional sentence processing in this population. <strong>Method: </strong>Eighteen persons with PD and 22 healthy adults (HAs) completed a language task in which they rated sentences on their pleasantness (valence), and a battery of cognitive tasks and mood measures that were examined as factors influencing performance. As an interaction between emotionality and concreteness during processing has been indicated in prior research, concreteness of sentence stimuli was also manipulated. <strong>Results: </strong>Individuals with PD rated negatively valenced sentences as less negative and positively-valenced sentences as less positive than HAs. The PD group also demonstrated a reduced overall range of valence rating scores. Sentence concreteness did not influence ratings. Results for positive sentences could be explained by individual differences in working memory (WM), whereas individual differences in WM, depression, and group explained differences in ratings to negative sentences. <strong>Conclusions:</strong> Our study provides one of few accounts of emotional language processing deficits in PD, particularly beyond the word level. Individuals with PD may experience difficulty perceiving and assessing the intensity of the emotional content of language, and deficits may disproportionately impact processing of sentences about negative situations. <strong>Supplemental Material S1. </strong>Neutral sentence frames with associated target final word. <strong>Supplemental Material S2.</strong> Target words and their psycholinguistic properties. <strong>Supplemental Material S3.</strong> Table of factor loadings from the principal components analysis of cognitive test scores. <strong>Supplemental Material S4. </strong>Results of the best model from the linear mixed model – response rating analysis. <strong>Supplemental Material S5. </strong>Results of the best model from the linear mixed model – response time analysis. <strong>Supplemental Material S6. </strong>Predictors of response ratings and response times. Hazamy, A. A., & Altmann, L. J. P. (2022). Emotional sentence processing in Parkinson’s disease. <em>Journal of Speech, Language, and Hearing Research</em>. Advance online publication. https://doi.org/10.1044/2022_JSLHR-22-00021
DOI: 10.6084/m9.figshare.14946408.v2
title: Free Roaming Cats in Public Spaces

description: Do sustainable development goals accept free-roaming cats in public places? We provide insights and solutions regarding how cities worldwide confront this question. We present a two-phase urban toolkit that can help create an urban ecology that balances the needs of communal cats with residents’ desires for quietude and safety. The data includes the bibliometric analysis about the free-roaming cats and out cities. <br>
DOI: 10.6084/m9.figshare.21776033.v1
title: Supplementary Material for: Ethnic-Associated Phenotype Variations in Moyamoya Cerebrovascular Outcomes

description: <b><i>Introduction:</i></b> Moyamoya has been extensively described in East Asian populations, and despite its accepted clinical presentation and course, it is fundamental to describe major cerebrovascular complications in other ethnically diverse samples. Hence, we sought to determine if distinct ethnic groups are at higher risk of developing stroke using the National Inpatient Sample (NIS) database. <b><i>Methods:</i></b> We included all moyamoya patients admitted from January 2013 until December 2018 in the NIS database. Multivariate regression analysis was used to determine the risk of developing stroke and poor outcomes in different races compared to white patients. <b><i>Results:</i></b> Out of the 6093 admissions with diagnosis of moyamoya disease that were captured, 2,520 were white (41.6%), 2,078 were African American (AA) (34.1%), 721 were Hispanic (11.8%), and 496 were Asian (8.14%). For arterial ischemic stroke (AIS), we found that AA race had a significantly reduced risk of AIS compared to white patients (odds ratio = 0.8, 95% confidence interval: 0.7–0.9, <i>p</i> = 0.031). While being Hispanic or Asian significantly increased 1.5 and 2-fold the risk of hemorrhagic stroke. <b><i>Conclusion:</i></b> This study highlights the unique features and phenotypes of moyamoya cases among different ethnicities. While possibly AA are protected from developing AIS due to underlying causes of moyamoya such as sickle cell disease, Asians seems to be more susceptible to hemorrhagic stroke.