cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14618706
title: Supplementary data 2

description: Aln file (clustal omega output files) and newick file (FastTree output files) of Caspar, DREDD and FADD.
DOI: 10.6084/m9.figshare.14618706.v2
title: Supplementary data 2

description: Aln file (clustal omega output files) and newick file (FastTree output files) of Caspar, DREDD and FADD.
DOI: 10.6084/m9.figshare.14618706.v1
title: Additional data 2

description: Aln file (clustal omega output files) and newick file (FastTree output files) of Caspar, DREDD and FADD.
DOI: 10.6084/m9.figshare.14625510
title: Supplementary table

description: Primer sequence list in this study.
DOI: 10.6084/m9.figshare.14625510.v2
title: Supplementary table

description: Primer sequence list in this study.
DOI: 10.6084/m9.figshare.14625510.v1
title: Supplemental table

description: Primer sequence list in this study.
DOI: 10.3886/e111523v2-106124
title: Data and Code for: Loss in the Time of Cholera: Long-run Impact of a Disease Epidemic on the Urban Landscape

description: How do geographically concentrated income shocks influence the long-run spatial distribution of poverty within a city? We examine the impact on housing prices of a cholera epidemic in one neighborhood of 19th century London. Ten years after the epidemic, housing prices are significantly lower just inside the catchment area of the water pump that transmitted the disease. Moreover, differences in housing prices persist over the following 160 years. We make sense of these patterns by building a model of a rental market with frictions in which poor tenants exert a negative externality on their neighbors, which showcases how a locally concentrated income shock can persistently change the tenant composition of a block.
DOI: 10.17632/3x3c36mnt3.1
title: Difference of Selenoprotein P between STZ-injected and HFD-fed mice

description: Obtained data during our experiments. These may suggest the followings: although both were hyperglycemic model mice, STZ administration and HFD feeding had diverse influences on the plasma SelP level and other diabetes-related factors. Furthermore, it is also suggested from these data that plasma SelP levels may not be increased in conditions such as type 1 diabetes, wherein there is a lack of the ability to secrete insulin. This is evident even in hyperglycemic conditions. We anticipate that these findings may help to elucidate the pathophysiology of type 1 and 2 diabetes.
DOI: 10.17632/gvgkw8vd2c.1
title: Original seismic data in "Growth of the Tian Shan drives migration of the conglomerate-sandstone transition in the southern Junggar foreland basin"

description: Here is the original seismic data presented in the manuscript entitled "Growth of the Tian Shan drives migration of the conglomerate-sandstone transition in the southern Junggar foreland basin"(# 2021GL097545). The manuscript are submited to Geophysical Research Letters on December 12th, 2021.
DOI: 10.17632/k6t8rkh4pd.1
title: High-precision vertical movement  of the Tibetan Plateau

description: The file contains vertical leveling rates of the Tibetan Plateau and its adjacent region (Vertical_rate.txt) build by Wu et al. (2022),  from leveling survey in Tibetan Plateau and its adjacent region.
DOI: 10.17632/v2jpb8srh4.1
title: Caledonian tick vaccine Infestation scores

description: These data present infestation score of tick load on cattle during a 3 years tick vaccine trial. Tick counts were achieved during the first year (Y1) and the last year (Y3) of the trial on 20 to 25 cows in each farm (numbered from 1 to 9) involved in this study. Tick counts were carried out at the time of acaricidal treatments.
DOI: 10.17632/n9btgjxyjg.1
title: Caledonian tick vaccine Antibody titers

description: These data present immune response of animals vaccinated with a Bm86 vaccine. Animals were in 9 farms (number 1- to 9- in the first column). Blood samples were collected on 25 cows the date of the first vaccination (d+0) and at each booster (d+30 ; 180 ; 360 ; 545). Samples were analysed with ELISA method and results are in %S/P = (100*(OD Sera/OD Positive control)), where OD is Optical Density.
DOI: 10.17632/3xfrw836wg.2
title: Raw insoluble fiber lowers glycemic peak in diabetics

description: Postprandial hyperglycemia of type 2 diabetic patients in response to a meal containing complex carbohydrates is decreased by a balanced amount of raw insoluble fiber.
DOI: 10.15468/a28sqd
title: Geotomus granulosus, a peculiar sehirine-like new species of the subfamily Cydninae (Hemiptera: Heteroptera: Cydnidae) from Burundi

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lis, Jerzy A., Lis, Barbara (2022): Geotomus granulosus, a peculiar sehirine-like new species of the subfamily Cydninae (Hemiptera: Heteroptera: Cydnidae) from Burundi. Zootaxa 5087 (3): 489-493, DOI: https://doi.org/10.11646/zootaxa.5087.3.6
DOI: 10.17632/bp7dzg82p6.5
title: Earthquakes triggered by fluid diffusion and boosted by fault reactivation in Weiyuan, China due to hydraulic fracturing

description: The zip file contains vertical waveform data for a refined earthquake catalog (HypoDD_location.dat) built by Sheng et al. (2022), recorded by a dense seismic array in the Weiyuan shale gas block in China. Each directory includes one earthquake. NEDC_catalog.dat file is the standard catalog, recorded by permanent stations, from National Earthquake Data Center (NEDC) of China.
DOI: 10.17632/84yzks236m.1
title: Supplemental Figure and Table

description: Supplemental Figure 1.
Supplemental Table 1.
Supplemental Table 2.
DOI: 10.17632/6kv89hs549.2
title: Literature Recommendations for analysis of integration of the components in Hydro GIS Model development framework 

description: We have carried out research for the development of the HydroGIS model development framework for urban flood management.  once components were identified for the framework, it was required to find the status of integrations and in what depth those integrations were studied. Then finding for the depth it employed tailored composite programming of  MCDA. For the MCDA analysis, it is required to collect the literatures to examine the researchers' interest in integrations. Then under different categorisations literature were searched and gathered. The data published here explain under what categorisation it collected the data and what literatures were collected for each category. As all the literature were examined it can be recommended that those literature are representing the categories where they belong. The result has been published in the IESL engineers journal of IESL [1].
As well this data set is considered as the 2nd version of Literature Recommendations for Research on HydroGIS Tool Development Framework for Urban Flood Management - version 1 [2].

References:
[1] R. M. M. Pradeep and N. T. S. Wijesekera, “Gaps in the accounting of stakeholder integrations in HydroGIS tools to face the challenge of sustainable urban flood management,” Eng. J. Inst. Eng. Sri Lanka, vol. LVI, no. 01, pp. 1–14, 2021.
[2] R. M. M. Pradeep and N. T. S. Wijesekera, “Literature Recommendations for Research on HydroGIS Tool Development Framework for Urban Flood Management,” Rathmalana, 2020. doi: 10.13140/RG.2.2.24399.30880.
DOI: 10.17632/4rgksvm8gp.2
title: Questionnare Rural Competitiveness (Promethee GAIA)

description: This dataset is for a research entitled "Ranking of rural tourism competitiveness in the case of COVID-19 pandemic in Indonesia: The PROMETHEE approach"
DOI: 10.17632/64jrz799sb.1
title: TG4 imaging

description: Adult brain imaging of Drosophila melanogaster T2A-GAL4 (TG4) lines driving UAS-nls.mcherry co-stained with either neuronal (elav) or glial (repo) nuclear markers.  Slices are combined to visualize a coronal sections throughout the brain and gene-reporting of indicated fly genes.
DOI: 10.17632/s733mm3njb.3
title: Fatigue life prediction of aluminum alloy materials based on surface damage and internal defects

description: The effects of internal defects and surface damage on fatigue life of periodically damaged specimens are analyzed by means of microscopic computed tomography and microscopic observation. A three-dimensional reconstruction model based on surface damage and internal defects was established, which was confirmed by the experimental data of fatigue damage accumulation during the stages of damage, and a statistical regression model was established by using surface roughness and stress concentration coefficient of the specimens to predict fatigue life.
DOI: 10.17632/t4f74wzyn4.1
title: CBCT-guided Adaptive Radiotherapy using Self-Supervised Sequential Domain

description: Adaptive radiotherapy (ART) is an advanced technology in modern cancer treatment that incorporates progressive changes in patient anatomy into active plan/dose adaption during the fractionated treatment. However, the clinical application relies on the accurate segmentation of cancer tumors on low-quality on-board images, which has posed challenges for both manually delineation and deep learning-based models.  In this paper, we propose a novel sequence transduction deep neural networks with attention mechanism to learn the shrinkage of the cancer tumor based on patients' weekly cone-beam computed tomography (CBCT). We design a self-supervised domain adaption (SDA) method to learn and adapt the rich textural and spatial features from pre-treatment high-quality computed tomography (CT) to CBCT modality in order to address the poor image quality and lack of labels. We also provide uncertainty estimation for sequential segmentation, which aids not only in the risk management of treatment planning but also in the calibration and reliability of the model. Our experimental results based on a clinical non-small cell lung cancer (NSCLC) dataset with six-teen patients and ninety-six longitudinal CBCTs show that our model properly learns weekly deformation of the tumor over time with an average dice score of 0.92 on the immediate next step, and is able to predict multiple steps (up to 5 weeks) for future patient treatments with an average dice score reduction of 0.05. By incorporating the tumor shrinkage predictions into a weekly re-planning strategy, our proposed method demonstrates a significant reduction in the risk of radiation-induced pneumonitis up to 35% while maintaining the high tumor control probability.

The code that supports the findings of the study is openly available in the repository,  patient data is available on request due to institutional restrictions.
DOI: 10.17179/excli2021-4482/supplementary_data
title: Hypermethylation of RAD9A intron 2 in childhood cancer patients, leukemia and tumor cell lines suggest a role for oncogenic transformation

description: Most childhood cancers occur sporadically and cannot be explained by an inherited mutation or an unhealthy lifestyle. However, risk factors might trigger the oncogenic transformation of cells. Among other regulatory signals, hypermethylation of RAD9A intron 2 is responsible for the increased expression of RAD9A protein, which may play a role in oncogenic transformation. Here, we analyzed the RAD9A intron 2 methylation in primary fibroblasts of 20 patients with primary cancer in childhood and second primary cancer (2N) later in life, 20 matched patients with only one primary cancer in childhood (1N) and 20 matched cancer-free controls (0N), using bisulfite pyrosequencing and deep bisulfite sequencing (DBS). Four 1N patients and one 2N patient displayed elevated mean methylation levels (10 %) of RAD9A. DBS revealed 2 % hypermethylated alleles of RAD9A, indicative for constitutive mosaic epimutations. Bone marrow samples of NHL and AML tumor patients (n=74), EBV (Epstein Barr Virus) lymphoblasts (n=6), tumor cell lines (n=5) and FaDu subclones (n=13) were analyzed to substantiate our findings. We find a broad spectrum of tumor entities with an aberrant methylation of RAD9A. We detected a significant difference in mean methylation of RAD9A for NHL versus AML patients (p ≤0.025). Molecular karyotyping of AML samples during therapy with hypermethylated RAD9A showed an evolving duplication of 1.8 kb on Chr16p13.3 including the PKD1 gene. Radiation, colony formation assays, cell proliferation, PCR and molecular karyotyping SNP-array experiments using generated FaDu subclones suggest that hypermethylation of RAD9A intron 2 is associated with genomic imbalances in regions with tumor-relevant genes and survival of the cells. In conclusion, this is the very first study of RAD9A intron 2 methylation in childhood cancer and Leukemia. RAD9A epimutations may have an impact on leukemia and tumorigenesis and can potentially serve as a biomarker.
description: EXCLI Journal; 21:Doc117; ISSN 1611-2156
DOI: 10.17632/2bddhb2zmj.1
title: (Dataset) Accessibility Assessment in Mobile Applications for Android

description: Evaluation of the accessibility of the most used mobile applications in Ecuador.
DOI: 10.17632/73wrz46sz5.1
title: Thermo-, near-infrared light- and water-induced shape memory polymer with healing fatigued shape memory performance

description: raw data
DOI: 10.17632/2m9j4zhrb7.1
title: Thermo-, near-infrared light- and water-induced shape memory polymer with healing fatigued shape memory performance-p

description: processed data
DOI: 10.17632/w6mc9rfp8j.1
title: Carbendazim

description: The aim of this work was to evaluate carbendazim metabolites in zebrafish water tank using liquid chromatography coupled to a high-resolution mass spectrometer (LC-HRMS) and metabolomics approach to highlight analytical targets in order to monitor carbendazim exposure in aquatic environments. For this purpose, treatment, negative and stability groups were defined. In addition, water samples were collected from the tanks and analyses were carried out by LC-HRMS. Finally, the data were submitted to statistical analysis using the global metabolomics approach. The results allowed the putative annotation of 7 target metabolites and untargeted metabolite assignments.
DOI: 10.17632/myk883f5sw.1
title: Skin Findings Encountered during Forensic Evaluations

description: Description of dermatologic findings which may be encountered during forensic evaluations for refugees and asylum seekers.
DOI: 10.17632/bkw33tpg36.1
title: Untargeted Metabolomics Reveals the Effects of Pre-Analytic Storage Conditions on Serum Metabolite Profiles in Cats

description: Untargeted metabolomics analysis of serum samples has been used to characterize metabolic disturbances associated with various clinical disorders in cats. However, the pre-analytic stability of serum metabolites exposed to extended storage in clinical freezers at -20C compared with preservation at temperatures below -70C is unknown. Our objective was to compare serum metabolite profiles in samples collected from healthy cats that were stored at -20C for up to 12 months to samples stored at -80C. We collected serum from 8 healthy cats and stored aliquots at -20C for 6 months, -20C for 12 months, and -80 for 12 months. We used untargeted liquid chromatography-mass spectrometry to generate serum metabolites profiles. We compared the relative concentrations of serum metabolites and assessed the repeatability of metabolite measurements among the different storage conditions. 733 named metabolites were detected in the sera of 8 healthy cats. Principal component analysis and hierarchical clustering of samples based on the Euclidian distance revealed clustering of samples by individual cat rather than storage condition. Univariate statistics identified 23 serum metabolites that differed significantly among storage conditions. Intraclass correlation analysis revealed that highly stable metabolites were enriched in the benzoate, creatine, bile acid, and various amino acid sub-pathways, whereas unstable metabolites were enriched in the monoacylglycerol, fatty acid, and gamma-glutamyl amino acid sub-pathways. In random forest analysis, several amino acids and gamma glutamyl acids held discriminatory power in differentiating among storage conditions. Our findings revealed that the majority of serum metabolites were stable during storage at -20C and were consistent with increasing oxidation of samples with extended storage time at -20C.
DOI: 10.17632/98zwbhdtk9.1
title: Improvement of Part Strength Prediction modelling by Artificial Neural Networks for Filament and Pellet based Additively Manufactured Parts

description: Part strength modelling technique based on ANN technique has been developed in this research.
DOI: 10.17632/p8g3znzspb.1
title: Symptomscore vs cytokines

description: Context
Patients with palliative-stage cancer often suffer from a variety of debilitating symptoms which have been shown to appear in clusters. It is suggested that cytokines cause many such symptoms, and elevated cytokine production has been shown to correlate with symptoms. However, symptom clusters have not been thoroughly analyzed in relation to cytokine clusters.

Objectives
To identify symptom clusters and cytokine clusters in Swedish cancer patients, and to investigate correlations between the identified symptom clusters and cytokine clusters.

Methods
A questionnaire (EORTC QLQ-C15-PAL) was completed by 110 cancer patients, with blood samples taken at two time points four weeks apart. MSD assays were used to analyze 23 cytokines. Statistical analysis was performed using principal component analysis of symptoms and cytokines, followed by correlation analysis of the obtained clusters.

Results
Three symptom clusters were identified: i) pain-sleep disorder, ii) gastro-intestinal-fatigue, iii) physical functioning. The cytokines were divided into three clusters that can be characterized as i) pro-tumorigenic, ii) cell-mediated immune response and iii) proinflammatory. At the second time point, a fourth cytokine cluster was isolated iv) immunostimulation. Correlations were found at both time points between the proinflammatory cytokine cluster and the physical functioning symptom cluster, and at the week four time point between the proinflammatory cytokine cluster and the gastro-intestinal-fatigue symptom cluster. 

Conclusion
We show a correlation between symptom clusters and the proinflammatory cytokine cluster. Proinflammatory cytokines are known to cause symptoms that resemble palliative cancer symptoms. Increased knowledge of biochemical processes and their effect on patients’ wellbeing may give clues for counteracting symptoms that affect quality of life in palliative cancer care.
DOI: 10.17632/zz3k2gjg94.1
title: SARS-CoV-2 sequencing of university campus wastewater and wastewater treatment plant influent

description: Wastewater surveillance of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been leveraged during the Coronavirus Disease 2019 (COVID-19) pandemic as a public health tool at the community and facility level. In this study, we compare the sequence diversity of SARS-CoV-2 amplified from wastewater influent to the Columbia, South Carolina, metropolitan wastewater treatment plant (WWTP) and the University of South Carolina campus during September 2020, which represents the peak of COVID-19 exposure at the university during 2020.
DOI: 10.17632/4dydwh73f7.1
title: Supplementary Material

description: Supplementary files for the systematic review entitled "Psoriasis Flares and Rebound Phenomenon Following Exposure and Withdrawal of Systemic Steroids – A Systematic Review and Meta-analysis" published in Journal of the American Academy of Dermatology
DOI: 10.17632/zjd58fyk5b.2
title: Efficacy of Targeted Education In Reducing Topical Steroid Phobia, A Randomised Clinical Trial 

description: Introduction and objectives: Fear of side effects of corticosteroids is common in dermatology and results in medication non-adherence. The objective of this trial was to study the efficacy of targeted education in reducing topical steroid phobia.

Methods: In this double-blinded, randomized controlled trial, participants in the intervention arm were presented with an educational video and patient information leaflet targeting common misconceptions of topical corticosteroids. Steroid phobia was assessed with the TOPICOP© scale, medication adherence with the ECOB score, and quality of life with the DLQI. 

Results: 275 patients were randomised. Mean (SD) TOPICOP© score in the intervention arm decreased (improved) from 41.9 (SD,17.4) to 37.1 (SD,20.0) and 33.8 (SD,19.0) at 1 month and 3 months, respectively with the reduction arising from the knowledge domain but not the fears and behaviours domain. This remained statistically significant after adjusting for demographic confounding with an expected reduction of 4.22 points (p=0.031). After accounting for demographic factors, there was no statistical difference in medication adherence and quality of life.

Conclusions and Relevance: Targeted education at a single time point improved the TOPICOP© score primarily in the knowledge domain but not in the fear domain. 

Trial registration number: ClinicalTrials.gov (Identifier: NCT03658252)
DOI: 10.17632/8t3hzynxss.1
title: Food Image Study: Ambivalent motivation, attentional bias to threat, and thought shape fusion in restrained eaters

description: Background: Individuals who engage in restrained eating are often torn in a standoff between craving and dieting goals. This approach-avoidance conflict has been hypothesized to play a central role in the development of eating pathology. An emerging body of evidence suggests that one’s motivation to approach vs. avoid threat may modulate their attentional biases to threat. However, little is known about the link between ambivalent motivation towards food, visual attention to food, and eating pathology in restrained eaters. 
Methods: We had restrained eaters complete a passive viewing task where their eye movements towards high calorie food images vs. neural objects were tracked. Participants also rated their motivation to look towards vs. away from food images. 
Results: Participants who were ambivalent about whether to look towards or away from food images demonstrated a unique pattern of visual attention to food and reported greater thought-shape fusion and more restrained eating behaviours than other groups. 
Conclusions: Our findings suggest that some restrained eaters indeed experience ambivalent motivation towards high calorie food, which in turn modulates their attentional biases to food and contributes to cognitive distortions that are unique to eating pathology.  

Based on Cisler and Koster (2010), Nelson et al. (2015), and Xu et al. (2021), we hypothesized that: (1) some restrained eaters would exhibit high motivation to both look towards and look away food images (that is, would be ambivalent); (2) motivation to look towards and look away from food images would influence visual attention such that the ambivalent group would show initial facilitated attention to food, followed by no maintenance of initial attention to food, and they would also look at food less than the engagers and more than the avoiders; and (3) relative to other groups, those who were ambivalent about whether to look towards or away from food images would exhibit greater thought-shape fusion and more negative affect at the end of the study. 

Our results suggest that restrained eaters may vary in their motivation to approach vs. avoid images of high calorie food, and subsequently demonstrate different patterns of attentional biases to food. Individuals who were ambivalent about whether to look towards or away from food images reported more restrained eating behaviours and greater thought shape fusion. This study provides evidence to the critical role that approach-avoidance conflict may play in the development and maintenance of eating pathology (Stroebe, 2008; Werthmann et al., 2015). Ambivalent motivation to food may also be an important factor to address in treatment.