cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11900235.v1
title: trustdata

description: This data is from an experiment involving use of emojis in laboratory trust games executed on mobile devices. In this paper, I explore how emojis impact trust-generated welfare and how skin tone markers -- effectively signals -- shape one's willingness to trust. Exploiting a demographically diverse subject pool of mobile device users, I execute a laboratory experiment, exogenously restricting the type of computer-mediated chat players can use in a single endowment variant of the Berg et. al, 1998 "Investment game." This game allows for the exchange of money in a manner that creates potential surplus (a growing pie), and captures intuitive measures of trust (money sent), reciprocity (a proportion returned), and social welfare (final payoffs). Student subjects may could select from a library of emojis that allow skin tone markers and can converse throughout the entirety of the trust interaction. The emoji variables are binary coded if received by an player in the game. <br><br><br>Skin tones embedded in emojis impact sharing and resulting gains.
DOI: 10.6084/m9.figshare.984310.v6
title: Data from Higuera et al. 2009, Ecological Monographs

description: Lake-sediment pollen, charcoal, and chronological data from Xindi, Ruppert, Code, and Wild Tussock lakes, as in: Higuera, P. E., L. B. Brubaker, P. M. Anderson, F. S. Hu, and T. A. Brown. 2009. Vegetation mediated the impacts of postglacial climate change on fire regimes in the south-central Brooks Range, Alaska. Ecological Monographs 79:201-219.
DOI: 10.6084/m9.figshare.1197151.v1
title: Agilent 33XXX

description: This software package of Agilent 33XXX series is made available for your convenience, since our AFS tracking software uses the vi's and drivers from here.
DOI: 10.6084/m9.figshare.22202779.v2
title: Tweet Emotion Properties

description: Properties (extracted features) for the tweet eval dataset
DOI: 10.6084/m9.figshare.5666173.v1
title: Supplementary Material for: Alicaforsen, an Antisense Inhibitor of Intercellular Adhesion Molecule-1, in the Treatment for Left-Sided Ulcerative Colitis and Ulcerative Proctitis

description: <b><i>Background:</i></b> Data on the efficacy of intercellular adhesion molecule-1 antisense oligonucleotide alicaforsen in ulcerative colitis (UC) is inconsistent. <b><i>Methods:</i></b> All patients, who had received at least one dose of alicaforsen, were analyzed retrospectively. Alicaforsen’s efficacy was assessed in patients treated for left-sided UC and proctitis by comparing clinical and (if applicable) endoscopic disease activity before/after treatment. <b><i>Results:</i></b> Twelve patients were treated for left-sided UC or proctitis. Eleven patients received a 6-week course of a once-daily 240 mg alicaforsen enema formulation. In 1 patient, treatment was discontinued, because it was found to be inefficient. Disease activity measured by the partial Mayo score and 6-point symptom score was significantly reduced after treatment (6.0 vs. 2.4, <i>p</i> = 0.011 and 3.7 vs. 1.4, <i>p</i> = 0.008). Faecal calprotectin showed a trend towards reduction (484.4 vs. 179.5 μg/g, <i>p</i> = 0.063). Clinical improvement was achieved in 10 patients (83.3%). In 7 patients, a relapse occurred (70%). Median duration of clinical improvement was 18.0 weeks (range 1–112). Three patients showed an ongoing improvement of &gt;9 months. No adverse events were reported. <b><i>Conclusions:</i></b> A 6-week course of alicaforsen seemed to be safe and efficacious in inducing clinical improvement in patients with left-sided UC and proctitis. Prolonged clinical improvement was observed in many but not all patients.
DOI: 10.6084/m9.figshare.26767495.v1
title: <b>Research on Differential Genes in Osteoarthritis Cartilage Based on Multi-Machine Learning Algorithms</b>

description: <b>基于多机器学习算法的骨关节炎软骨差异基因研究</b>
DOI: 10.1184/r1/12987959.v4
title: The Index of Digital Humanities Conferences Data

description: While the term "Digital Humanities" dates back only to the early 2000s, the communities from which its current practitioners hail are quite a bit older. <i>The Index of Digital Humanities Conferences</i> is a collaboratively constructed dataset and website that presents conference metadata, and linked records within that data. You will find details about conference series and stand-alone academic events reaching back to the 1960s. In a subset, you will find works presented at these conferences: titles and authors, and occasionally additional information such as keywords, languages, and unformatted versions of abstracts or the full work text.<br>This deposit contains both the "full data" and "simple csv" downloads for the Index of Digital Humanities Conferences, as of 2022-02-04.<br>Further information on the data is available in the README as well as at https://dh-abstracts.library.cmu.edu/downloads<br>
DOI: 10.6084/m9.figshare.16944525.v1
title: Additional file 1 of BRAF V600E mutation is associated with aggressive features in papillary thyroid carcinomas ≤ 1.5 cm

description: Additional file 1. Appendix 1: Full data set of 121 patients included in the study.
DOI: 10.6084/m9.figshare.11734575.v1
title: Dataset_Mayo

description: Dataset_Mayo
DOI: 10.6084/m9.figshare.5363545.v3
title: Data for paper submitted to BMC Bioinformatics

description: The data stem fromI. Cantone, L. Marucci, F. Iorio, M.A. Ricci, V. Belcastro, M. Bansal, S. Santini, M. di Bernardo, D. di Bernardo and M.P. Cosma (2009): A Yeast Synthetic Network for In Vivo Assessment of Reverse-Engineering and Modeling Approaches, Cell, 137, 172-181.Grzegorczyk, M. and Husmeier, D. (2012): A Non-Homogeneous Dynamic Bayesian Network with Sequentially Coupled Interaction Parameters for Applications in Systems and Synthetic Biology, Statistical Applications in Genetics and Molecular Biology (SAGMB), 11(4), Article 7.<br>Please see those publications for details. <br>
DOI: 10.6084/m9.figshare.14977638.v1
title: Data supporting Francis and Wilkins (2021) Testing the strength and direction of selection on vocal frequency using metabolic scaling theory

description: This dataset supports the following publication:<br>Francis, C.D & Wilkins, M.R. 2021. Testing the strength and direction of selection on vocal frequency using metabolic scaling theory. Ecosphere.<br>Included are two files: "Francis&Wilkins_Data.csv" are the data supporting the results of the paper and "Francis&Wilkins_README.txt" provides descriptions of the dataset.<br>Below is an abstract from the paper:A major challenge for studies assessing drivers of phenotypic divergence is the statistical comparison of taxa with unique, often unknown, evolutionary histories, and for which there are no clear expected trait values. Because many traits are fundamentally constrained by energy availability, we suggest that trait values predicted by scaling theories such as the metabolic theory of ecology (MTE) can provide baseline expectations. Here, we introduce a metabolic scaling-based approach to test theory involving the direction and magnitude of ecological and sexual selection, using vocal frequency as an example target of selection. First, we demonstrate that MTE predicts the relationship between the natural log of body size and natural log of vocal frequency across 795 bird species, controlling for phylogeny. Family-wide deviations in slope and intercepts from MTE estimates reveal taxa with potentially important differences in physiology or natural history. Further, species-level frequency deviations from MTE expectations are predicted by factors related to ecological and sexual selection and, in some cases, provide evidence that differs from current understanding of the direction of selection and identity of ecological selective agents. For example, our approach lends additional support to the findings from many cross-habitat studies that suggest that dense vegetation selects for lower frequency signals. However, our analysis also suggests that birds in non-forested environments vocalize at frequencies higher than expected based on MTE, prompting intriguing questions about the selective forces in non-forest environments that may act on vocal frequency. Additionally, vocal frequency deviates more strongly from MTE expectations among species with smaller repertoires and those with low levels of sexual dichromatism, complicating the use of these common sexual selection surrogates. Broad application of our metabolic scaling approach might provide an important complementary approach to understanding how selection shapes phenotypic evolution by offering a common baseline across studies and taxa, and providing the basis to explore evolutionary tradeoffs within and among multicomponent and multimodal traits.<br>
DOI: 10.6084/m9.figshare.28319024.v2
title: SpatialData object of https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain

description: https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain
DOI: 10.6084/m9.figshare.28673828.v1
title: Supporting Information for "Finite element method for garnet diffusion chronometry"

description: Solving the diffusion equation for species diffusion in garnet provides insights into the duration and rate of geological processes. Nonetheless, challenges arise when addressing diffusion problems within the complex geometries of real minerals and under varying boundary conditions. In this study, we introduce a numerical approach known as the Finite Element Method (FEM) to overcome these challenges. We thoroughly explain the rationale behind FEM, detailing the procedure for transforming the original diffusion equation into a final linear system for easier resolution. Subsequently, we implemented the method and conducted a comprehensive accuracy analysis involving lutetium (Lu) diffusion within a spherical garnet. Our accuracy analysis reveals that with finer discretization, the relative error is maintained within ±1‰, surpassing the accuracy of LA-ICP-MS by an order of magnitude. This finding underscores the robustness of the method. Furthermore, our numerical diffusion experiments highlight the method’s adaptability for addressing diffusion under these complexities. They also demonstrate that the concentration surface exhibits a pronounced sensitivity to geometric irregularities, particularly when the diffusion length is small. We conclude that FEM effectively eliminates the geometric constraints of minerals and allows for the application of diverse boundary conditions, thereby holding promise for widespread applications in the field.
DOI: 10.6084/m9.figshare.5124595.v1
title: Supplementary Material for: Systematic Review on Daily Vitamin B12 Losses and Bioavailability for Deriving Recommendations on Vitamin B12 Intake with the Factorial Approach

description: <b><i>Aims:</i></b> To systematically review the literature on daily losses and bioavailability of vitamin B12. These estimates could be used for deriving recommendations on vitamin B12 intake for adults and elderly. <b><i>Methods:</i></b> We identified publications on daily vitamin B12 losses (July 2011) and publications on the bioavailability of vitamin B12 from foods or diets (June 2010) in MEDLINE, EMBASE and the Cochrane Library. <b><i>Results:</i></b> A pooled analysis of five studies (52 subjects) showed that 0.13 ± 0.03% of the total body store is lost per day. Absorption of vitamin B12 ranged from 4.5 (dose of 38 µg from consumption of liver) to 83% (dose of 3.0 µg from consumption of mutton meat). Data from eight studies including 83 subjects suggested that the amount of vitamin B12 absorbed from food (A<sub>i</sub>) increased with increasing doses of vitamin B12 (D<sub>i</sub>) as described by the equation: ln(A<sub>i</sub>) = 0.7694 * ln(D<sub>i</sub>) - 0.9614. <b><i>Conclusion:</i></b> Daily vitamin B12 losses in apparently healthy adults and elderly probably range from 1.4 to 5.1 µg. Vitamin B12 intakes needed to compensate for these losses seem to range from 3.8 to 20.7 µg. More evidence is needed on the relationships between biochemical markers of vitamin B12 status, vitamin B12 body store and long-term health outcomes to evaluate whether current recommendations on vitamin B12 intake (1.4-3 µg) need to be changed.
DOI: 10.6084/m9.figshare.14900583.v1
title: β-Diversity.xlsx

description: support the findings of our study
DOI: 10.6084/m9.figshare.3547095.v1
title: Appendix A. Predictor variables used to estimate response variable.

description: Predictor variables used to estimate response variable.
DOI: 10.6084/m9.figshare.727772.v1
title: Holdsworth 1902 Dataset

description: This is the .csv file for 1902 drawn from the master database. It is the basis for both the networks of women and of organizations for 1902.
DOI: 10.6084/m9.figshare.6038057.v1
title: Hulian Earthquake Data.7z

description: National Center for Research on Earthquake Engineering, Taiwan, has developed an Earthquake Early Warning System (NEEWS). This file contains the acceleration time histories recorded at 28 NEEWS stations during the Hualian earthquake with a magnitude of 6.22 and a focal depth of 10.0 km, on February 6, 2018.
DOI: 10.6084/m9.figshare.9761612.v4
title: Generation of navigation networks for corridor spaces based on indoor visibility map

description: In this study, we proposed a method for building navigation networks of indoor spaces based on a quantitative visibility analysis. we shared data and core codes in the figshare repository.
DOI: 10.6084/m9.figshare.17726687.v1
title: Supplementary Material for: A Prediction Model for Falls in Community-Dwelling Older Adults in Podiatry Practices

description: <b><i>Introduction:</i></b> Falls are a worldwide health problem among community-dwelling older adults. Emerging evidence suggests that foot problems increase the risk of falling, so the podiatrist may be crucial in detecting foot-related fall risk. However, there is no screening tool available which can be used in podiatry practice. The predictive value of existing tools is limited, and the implementation is poor. The development of risk models for specific clinical populations might increase the prediction accuracy and implementation. Therefore, the aim of this study was to develop and internally validate an easily applicable clinical prediction model (CPM) that can be used in podiatry practice to predict falls in community-dwelling older adults with foot (-related) problems. <b><i>Methods:</i></b> This was a prospective study including community-dwelling older adults (≥65 years) visiting podiatry practices. General fall-risk variables, and foot-related and function-related variables were considered as predictors for the occurrence of falls during the 12-month follow-up. Logistic regression analysis was used for model building, and internal validation was done by bootstrap resampling. <b><i>Results:</i></b> 407 participants were analyzed; the event rate was 33.4%. The final model included fall history in the previous year, unsteady while standing and walking, plantarflexor strength of the lesser toes, and gait speed. The area under the receiver operating characteristic curve was 0.71 (95% CI: 0.66–0.76) in the sample and estimated as 0.65 after shrinkage. <b><i>Conclusion:</i></b> A CPM based on fall history in the previous year, feeling unsteady while standing and walking, decreased plantarflexor strength of the lesser toes, and reduced gait speed has acceptable accuracy to predict falls in our sample of podiatry community-dwelling older adults and is easily applicable in this setting. The accuracy of the model in clinical practice should be demonstrated through external validation of the model in a next study.
DOI: 10.6084/m9.figshare.19607285.v1
title: Additional file 1 of Machine learning to predict metabolic drug interactions related to cytochrome P450 isozymes

description: Additional file 1. The final positive DDIs data and selected negative DDIs data with preprocessed descriptors.
DOI: 10.6084/m9.figshare.1451342.v1
title: Web of science results

description: studies derived from web of science
DOI: 10.6084/m9.figshare.18602702.v1
title: Supplementary Material for: Development of Sensitization to Multiple Allergen Molecules from Preschool to School Age Is Related to Asthma

description: <b><i>Introduction:</i></b> Allergic sensitization in early life has been identified as a strong risk factor for subsequent asthma in childhood. It is still unclear why only a part of sensitized children develop asthma, and the role of specific allergen molecules in asthma pathogenesis is ambiguous [<i>Pharmacol Ther</i>. 2009 Feb;121(2):174–84]. We assessed the sensitization to multiple allergen molecules longitudinally and explored its relation to persistent asthma at 7 years. <b><i>Methods:</i></b> Seventy-two children included during an acute wheezing episode (cases) were followed prospectively from early preschool age (EPA) to age 7, and compared to 43 healthy controls at EPA. Allergen molecules were analyzed at EPA and age 7 using ImmunoCAP Solid-phase Allergen Chip (ISAC). Asthma diagnosis at 7 years was based on symptoms, medication, and spirometry. <b><i>Results:</i></b> At EPA, cases compared to controls showed a tendency toward having a higher prevalence of allergic sensitization (23.6% vs. 9.3%, <i>p</i> = 0.055). The prevalence of sensitization increased in cases from EPA to 7 years (23.6% vs. 38.9%; <i>p</i> = 0.048) as well as the median number (range) of immunoglobulin E (IgE)-reactive molecules 3 (3–14) versus 6.5 (1–21); <i>p</i> = 0.024. Sensitization to each additional molecule from EPA to the age of 7 was significantly related to asthma at 7 (OR = 1.25, 95% confidence interval [1.01, 1.54]). <b><i>Conclusion:</i></b> Polysensitization, assessed by allergen molecules, had a significant impact on persistent asthma at school age. The extent of sensitization, illustrated by molecular spreading from preschool to school age, was related to asthma diagnosis at 7 years in children with a history of wheezing at early life.
DOI: 10.6084/m9.figshare.20079740.v1
title: Supplementary Material for: Miniaturized bioengineered models for preterm fetal membrane healing

description: Introduction: The reason for the absence of fetal membrane (FM) healing after a fetoscopic intervention is not known. We hypothesize that the lack of robust miniaturized models to study preterm FM functions is currently hampering the development of new treatments for FM healing. Specifically, miniaturized models to study preterm FM healing with minimal amounts of tissue are currently lacking. Methods: In this study, we collected FMs from planned cesarean deliveries and developed different ex vivo models with an engineered biomaterial to study FM healing. Then, the effect of PDGF-BB on the migration of cells from preterm and term FMs was evaluated. Results: FMs could be viably cultured ex vivo for 14 days. In a model of punctured FMs, migration of cells into FM defects was less pronounced than migration out of the tissue into the biomaterial. In a miniaturized model of preterm cell migration, PDGF-BB promoted migration of preterm amnion cells into the biomaterial. Discussion and Conclusion: By using a novel miniaturized model of preterm tissue, we here successfully demonstrate that PDGF-BB can promote preterm FM cell migration of microtissues encapsulated in a three-dimensional environment.
DOI: 10.6084/m9.figshare.24210537.v1
title: Supplementary Material for: Olfactory bulbs in arthritis model mouse persistently express interleukin-6 before the onset of arthritis: Relationship to food intake

description: Introduction Rheumatoid arthritis (RA) can be comorbid with psychiatric symptoms. Brain abnormalities in RA patients and in arthritis models have been reported. However, it remains unclear when these abnormalities occur and where they are distributed. In this study, we analyzed spatiotemporal changes in gene expression in the brains of mice with collagen-induced arthritis (CIA). Methods Mice were divided into three groups: i) CIA (all mice developed arthritis on day 35): complete Freund’s adjuvant (CFA) and type II collagen at initial immunization, and incomplete Freund’s adjuvant (IFA) and type II collagen at booster immunization; ii) C(+/-) (50% mice developed arthritis on day 35): only IFA at booster immunization; and iii) C(-/-) (no arthritis): only CFA at initial immunization and only IFA at booster immunization. Whole brains were collected at ten stages of arthritis and divided into six sections. Real-time polymerase chain reaction was performed using RNA extracted from the brain, and the expression of proinflammatory cytokines and glial markers was semi-quantified. Arthritis score, body weight, and food and water intakes were recorded and analyzed for correlations with brain gene expression. We also investigated the effect of interleukin-6 (IL-6) injection in the olfactory bulbs (OB) on the food intake. Results After booster immunization, a transient increase in integrin subunit α-M and IL-1β was observed in multiple areas in CIA. IL-6 is persistently expressed in the OB before the onset of arthritis, which is correlated with body weight loss and decreased food intake. This change in the OB was observed in the C(+/-) but not in the C(-/-) group. In the C(+/-) group, non-arthritic mice showed the same changes in the OB as the arthritic mice. This elevation in IL-6 levels persisted throughout the chronic phase until day 84. In addition, IL-6 injection into the OB reduced food intake. Conclusion Persistent elevation of IL-6 in the OB from the early stage of arthritis may be an important finding that might explain the neuropsychiatric pathophysiology of RA, including appetite loss, which is present in the early stages of the disease and manifests as a variety of symptoms over time.
DOI: 10.6084/m9.figshare.24970587.v2
title: Equilibrium position control data and Supplementary Information

description: This dataset contains the data from 9 participants who exerted a force in eight directions against a point constraint, which was removed unexpectedly. The data contains the hand's trajectory, velocity, force and grasp force.