cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29127098.v1
title: Data for article "<i>From molecules to nanoplastics SERS detection: new insights into the role of analyte on the plasmonic substrate design</i>"

description: Reflectance spectra of AuFoN nanostructures; SERS spectra of benzenthiol on AuFoN nanostructures.
DOI: 10.6084/m9.figshare.5673352.v1
title: 1000Gphase3.5superpopulations.hg19.txt.zip

description: DataMed Admixture resource file containing the allele frequencies of 81,102,777 SNPs in 5 super populations (AFR , AMR, EAS, EUR, and SAS) of 1000 genomes phase 3 project based on genome build hg19. p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Menlo; color: #000000; background-color: #ffffff} span.s1 {font-variant-ligatures: no-common-ligatures} p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Menlo; color: #000000; background-color: #ffffff} span.s1 {font-variant-ligatures: no-common-ligatures} <br>AFR: AfricanAMR: American mixedEAS: East AsianEUR: EuropeanSAS: South Asian
DOI: 10.17632/gm49fmx86t
title: Dataset from the University of Rwanda College of Education during teaching and Learning Quantum Physics

description: This dataset comprises four MS Excel files of students' achievements, attitudes, and classroom practices in quantum physics course at the University of Rwanda College of Education (UR-CE). Achievement and conceptual understanding data were collected using fortified standard Quantum Physics Conceptual Survey (QPCS), with researchers four blackbody radiation questions, 24 original QPCS, and four questions from Quantum Mechanics Conceptual Survey (QMCS) related to the total energy of a particle and the probability of finding a particle. Attitude data were collected using researchers' own created Quantum Physics Attitude Test (QPAT), while classroom observation was done with a standard Classroom Observation Protocol for Undergraduate STEM (COPUS). Some data were collected during the baseline study done on one group of students who have learnt quantum physics course from 21/08/2019 to 20/11/2019. While other data were collected from two groups of students. The control group was taught by lecture method, and the experimental group was taught using multimedia-aided approach. These data were collected from 28/01/2022 to 01/04/2022.
DOI: 10.17632/ptznpn848p
title: Model Checking of a Causal Broadcast Algorithm Using Spin

description: This is the source code for modeling and specifying a causal broadcast algorithm. This modeling uses Spin tool version 6.4.9 with the Promela language.
DOI: 10.6084/m9.figshare.13520072.v1
title: Visualizing Tumor in Real-time: A Highly Sensitive PSMA Probe for NIR-II Imaging and Intraoperative Tumor Resection

description: A novel NIR-II probe was developed, which demonstrated excellent optical properties and ultra-high affinity towards prostate-specific membrane antigen. The probe displayed remarkable performance in <i>in vivo </i>NIR-II imaging and intraoperative image-guided tumor resection, during which a missed residual tumor by the operator was successfully detected by the novel probe.
DOI: 10.6084/m9.figshare.5121256.v1
title: Supplementary Material for: Type 2 Diabetes in Octogenarians Is Associated with Decreased Low Molecular Weight Adiponectin

description: <i>Background:</i> Adiponectin circulates in the blood in three different multimer isoforms, of which the high molecular weight form (HMW) is presumed to mediate insulin sensitivity. We examined whether adiponectin oligomer distribution is associated with aging and type 2 diabetes (T2D) in octogenarians without characteristic features of metabolic syndrome. <i>Methods:</i> The study included 154 octogenarians (58 men, 96 women), 24 normoglycemic middle-aged controls (11 men, 13 women; mean age 44 years), and 33 middle-aged individuals (14 men, 19 women; mean age 55 years) with T2D. Based on oral glucose tolerance test 62 octogenarians had normal, 63 impaired glucose tolerance, and 29 octogenarians had newly detected T2D. Serum adiponectin multimer isoforms were measured after overnight fast by enzyme-linked immunosorbent assays. <i>Results:</i>Compared to the normoglycemic middle-aged control group, male normoglycemic octogenarians revealed significantly higher total adiponectin and all adiponectin isoforms. The same was true for females with the exception of low molecular weight (LMW) adiponectin, which was not statistically higher in octogenarians. Male and female octogenarians with T2D had significantly higher levels of total, HMW, and middle molecular weight (MMW) adiponectin, but not LMW adiponectin, than middle-aged individuals with T2D. Female, but not male, octogenarians revealed significantly lower total adiponectin than normoglycemic octogenarians. Compared with normoglycemic octogenarians, male and female octogenarians with T2D were characterized by significantly lower LMW adiponectin. In male and female octogenarians, total adiponectin and all multimer isoforms were directly correlated with HDL cholesterol. LMW adiponectin in octogenarians of both sexes was inversely correlated with glucose level at 2-hour oral glucose tolerance test. <i>Conclusions:</i> Serum levels of total adiponectin as well as its HMW and MMW isoforms were significantly higher in octogenarians with normoglycemia or T2D than in corresponding middle-aged control groups. In male and female octogenarians without metabolic syndrome, T2D was associated with lower LMW adiponectin, while the HMW and MMW isoforms were not statistically different.
DOI: 10.17632/89g9r6w2sz
title: 8. Packed-Bed Methanation Reactor in CHEMCAD Linked to Mathematica.

description: The Sabatier reaction is receiving renewed attention because of the promising concept of large-scale recycling of carbon dioxide in power plants.[1] The reaction, also known as CO₂ methanation, can be written for the methanation of CO₂ with hydrogen, as:

CO₂(g) + 4 H₂(g) ⇌ CH₄(g) + 2 H₂O(g)

The reaction is exothermic and reversible, and is catalyzed by supported metals such as nickel on magnesia.[10] The supported metal catalysts can be configured into a packed bed. The reaction can also be accomplished in fluidized-bed or biological reactors, but those are not considered here. In this study, we consider supported-nickel catalyst pellets poured into pipes in a shell-and-tube configuration. 

Various commercial applications can be studied by incorporation of the reactor design equations into process simulator software, but this software does not generally contain built-in packed bed reactors. This type of reactor needs to be added by the user. CHEMCAD is one commonly used chemical process simulator and we have shown previously that it can be used in tandem with Mathematica for real-time solutions of advanced mathematical problems.[2-8] Our previous work showed application to algebraic solutions. That is, the membrane and flash models in those studies involved solutions of systems of algebraic equations. This study extends the method to systems of differential equations solved numerically. Specifically, this paper demonstrates the simultaneous solution of the two equations dP/dW=F₁ and dX/dW=F₂, where X is conversion of CO₂, P is pressure in the reactor, and W is catalyst mass[9], in Mathematica coupled to CHEMCAD. Kinetic models used are gas-phase with simultaneous adsorption-desorption on the solid catalyst, with kinetic rate laws and thermochemical properties taken from the literature [10,11].
DOI: 10.6084/m9.figshare.19087049.v1
title: EasyFuse detected fusion gene candidates

description: This dataset contains supplementary data tables with predicted gene fusion candidates from the EasyFuse publication Weber et al. 2022<br><br><br>File 1: Fusion genes detected in MCF7 and SKBR3 cell lines.<br>Presented are fusion genes detected in MCF7 and SKBR3 sequencing samples: Each breakpoint pair combined with the overlapping gene names and reading strands in reading direction represents a prediction as indicated in column “FGID”, as well separately in the columns “BPID, “Fusion_Gene”, “Breakpoint1” and “Breakpoint2”. Genomic coordinates refer to human reference genome hg38. Junction reads and spanning pairs reported by the detection tools are presented in column “Junction_Reads” and “Spanning_Reads”. The “Sample” column indicates the cell line and the column “Tool” the reporting tool. The column “Prediction_File” contains information on the sequencing replicate used for prediction.<br><br>File 2: Fusion genes detected in FF tumor tissue<br>Fusion genes detected in 14 FF breast cancer samples. Each breakpoint pair combined with the overlapping gene names and reading strands in reading direction represents a prediction as indicated in column “FGID”, as well separately in the columns “BPID”, “Fusion_Gene”, “Breakpoint1” and “Breakpoint2”. Genomic coordinates refer to human reference genome hg38. Junction reads and spanning pairs reported by the detection tools are presented in column “Junction_Reads” and “Spanning_Reads”. The “Sample” column indicates the cell line and the column “Tool” the reporting tool. The column “Prediction_File” contains information on the sequencing replicate used for prediction.<br><br>File 3: Fusion genes detected in FF normal tissue<br>Fusion genes detected in 143 normal tissue samples derived from 49 different tissue sites. Each detected breakpoint pair combined with reading strands represents a prediction as indicated in column “BPID”. Genomic coordinates refer to human reference genome hg38. Junction reads and spanning pairs reported by the detection tools are presented in column “Junction_Reads” and “Spanning_Reads” and the reporting tool in column “Tool”. The “Sample” column indicates the sample ID with the tissue site given in “Tissue”.<br><br>File 4: EasyFuse predicted fusion genes in FF tumor tissue<br>EasyFuse output of predicted candidate fusion genes in 57 breast cancer samples. For a detailed description of the columns, please refer to the description of the EasyFuse output format in the methods.<br><br>File 5: EasyFuse detected fusion genes in FFPE tumor tissue<br>EasyFuse output of predicted candidate fusion genes in 14 FFPE tumor samples. For a detailed description of the columns, please refer to the description of the EasyFuse output format in the methods.<br><br><br>File 6: EasyFuse detected fusion genes in the immunogenicity cohort<br>EasyFuse output of predicted candidate fusion genes in 14 FFPE tumor samples. For a detailed description of the columns, please refer to the description of the EasyFuse output format in the Methods.<br><br>
DOI: 10.6084/m9.figshare.25498981.v2
title: Ueno et al 2024 Source Data

description: Source Data for Ueno et al. "<b>Synthesis of </b><sup><strong>13</strong></sup><b>C-depleted organic matter from CO in a reducing early Martian atmosphere</b>"Source Data for FiguresEditable pdf of the Extended Data Figures 1, 2 and 3Extended Data Fig. 1| Calculated fractionation factors for CO<sub>2</sub> photolysis in our experimental condition. <i>Upper panels</i>: Measured incident UV spectra of the Xe lamp (black) and photolysis rate coefficients (blue:<sup> 12</sup>CO<sub>2</sub>, red: <sup>13</sup>CO<sub>2</sub>) showing larger isotopic fractionation accompanied by photolysis in the wavelength region longer than 183 nm. Grey lines represent actinic UV spectra calculated for shielding by 33 kPa CO<sub>2</sub> itself after an absorption path of 13 cm, which are almost identical to those of the UV source. <i>Middle panels</i>: Absorption cross sections for <sup>12</sup>CO<sub>2</sub> (blue) and <sup>13</sup>CO<sub>2</sub> (red) calculated from first principles at 295 K (left) and 320 K (right) by Schmidt et al.<sup>17</sup> with that of O<sub>2</sub> (black) for comparison. <i>Bottom panels</i>: Estimated isotope effect (1000 <i>ln</i> a<sub>1</sub>) depending on UV shielding up to a 13 cm path length in the experiment for 10 kPa CO<sub>2</sub> (red) and 33 kPa CO<sub>2</sub> (blue) (see Method). The case when 100 Pa O<sub>2</sub> was added to 33 kPa CO<sub>2</sub> is also shown in green.<br>Extended Data Fig. 2| Results from the early Mars atmosphere model, assuming 10 mbar <i>P</i><sub>CO2</sub> at the surface. a. Blue and yellow lines represent assumed vertical profiles of <i>P</i><sub>CO2</sub> and temperature, respectively. b. Vertical profile of CO<sub>2</sub> photolysis rate (reaction R1). c. Calculated isotope effect (1000 <i>ln</i> a<sub>1</sub>) of the CO<sub>2</sub> photolysis. The red and blue lines show the results assuming surface temperatures of 300 and 240 K, respectively. The shaded area represents the uncertainty of the calculation (see Method). d. Calculated actinic UV spectrum at each altitude. e. <i>J</i>(l) values calculated for each altitude.<br>Extended Data Fig. 3| Results from the early Mars atmosphere model, assuming 100 mbar <i>P</i><sub>CO2</sub> at the surface. a. Blue and yellow lines represent assumed vertical profiles of <i>P</i><sub>CO2</sub> and temperature, respectively. b. Vertical profile of CO<sub>2</sub> photolysis rate (reaction R1). c. Calculated isotope effect (1000 <i>ln</i> a<sub>1</sub>) of the CO<sub>2</sub> photolysis. The red and blue lines show the results assuming surface temperatures of 300 and 240 K, respectively. The shaded area represents the uncertainty of the calculation (see Method). d. Calculated actinic UV spectrum at each altitude. e. <i>J</i>(l) values calculated for each altitude.
DOI: 10.6084/m9.figshare.28245719.v1
title: Salinity and experiments

description: Salinity data for model validation and model settings
DOI: 10.6084/m9.figshare.8162807.v1
title: Superimposition of 3D maxillary digital models using open-source software

description: Abstract Historically, whether for research purposes or clinical monitoring, orthodontic evaluation of dental movements has been done using plaster study models and two dimensional (2D) radiographs. However, new frontiers for the diagnosis, planning and outcome assessment of orthodontic treatments have arisen, due to the revolutionary digital tools which enable a three dimensional (3D) computerized analysis of dental movements by means of digital models. However, the software for 3D analysis are often costly, resulting in limited access to orthodontists. The present study aims to describe, through a clinical case presented to the Brazilian Board of Orthodontics and Dentofacial Orthopedics, a method for the superimposition of maxillary digital models using an open-source software to evaluate dental movements.
DOI: 10.17632/3b3x9267pp
title: X-ray CT imaging uncovers 3D structural complexity of borings: An example of bioeroded clasts from the Pliocene (Almería, SE Spain)

description: The original data file (RAW format) and a movie file of the vizualized borings present in one of the bioeroded clasts.
DOI: 10.17632/kxfbxpfbrg
title: Identifying Left Atrium and Left Atrial Appendage Prone to Thrombus Formation in Patients with Atrial Fibrillation Using Statistical Shape Modelling

description: This dataset comprises raw 3D models of the left atrium and left atrial appendage reconstructed from cardiac CTA scans of 220 patients with atrial fibrillation.
DOI: 10.6084/m9.figshare.16701880.v1
title: Alexithymia & psychosomatic

description: Alexithymia, Psychosomatic Complaints and Self-Compassion
DOI: 10.6084/m9.figshare.28853954.v1
title: Supplementary tables.xlsx

description: Xenotime is a common accessory mineral formed in igneous, metamorphic, and sedimentary rocks, as well as hydrothermal ore deposits. Although the U–Th–Pb isotopic compositions of xenotime have been used widely to constrain host rock ages, O isotopic compositions have rarely been exploited. A major challenge is that microanalysis techniques, such as secondary ion mass spectrometry (SIMS), are required to analyze small and zoned xenotime crystals, and these techniques require matrix-matched reference materials to correct for instrumental mass fractionation and to monitor analytical accuracy. Currently, there are no reference materials for SIMS O isotopic analysis of xenotime, which hampers its use in geological studies. We present PX xenotime, a sample collected from Zagi Mountain, Pakistan, that exhibits a homogeneous O isotopic composition as determined by SIMS analyses. Laser fluorination–isotopic ratio mass spectrometry yields a δ18O value of 6.25‰ ± 0.13‰ (2SD, n = 6). Thus, we establish PX xenotime as the first reference material for SIMS xenotime O isotopic analysis. We also explore the potential applications of SIMS xenotime O isotopic analysis through O isotopic fractionation between quartz and xenotime and between xenotime and water. Our results show that the quartz–xenotime O isotope thermometer is promising for low-temperature hydrothermal systems (&lt;400°C). Moreover, fluid δ18O compositions can be determined directly by SIMS quartz–xenotime δ18O analysis in a single session.
DOI: 10.6084/m9.figshare.9609671.v1
title: The structure, drivers and policy implications of the European carbon footprint

description: Policy to reduce the European Union’s (EU) carbon footprint needs to be grounded in an understanding of the structure and drivers of both the domestic and internationally traded components. Here we analyse consumption-based emission accounts (for the main greenhouse gases (GHGs)) for the EU, focusing on understanding sectoral contributions and what changes have been observed over the last two decades, including the role of trade. The EU28 has reduced its overall GHG footprint by 8% over the two decades, mainly due to the use of more efficient technology, both at home and abroad. Emissions embodied in imports, which make up one-third of the EU28 GHG footprint, grew strongly until 2008 but have stabilized in volume since. Foreign production has been more emissions intensive than if goods were produced in the EU. However, the overall contribution of this effect is small, offset by much larger (global) technological improvements and growths in consumption. Hence the focus should now be on accounting and responsibility for enacting change, not the global impact of trade. Finally, the inclusion of non-CO<sub>2</sub> GHGs in the analysis shows their importance in the traded element, particularly for the mining and agricultural sectors. <b>Key policy insights</b>The total EU carbon footprint has reduced since 2007, but at a slower rate than production-based emissions, and rarely faster than GDP growth.Consumption growth has had a much greater impact on the EU carbon footprint than the offshoring of production.Trade in both directions (imports and exports) is important for the manufacturing sector. The data does not support claims of wholesale ‘de-industrialisation’ but rather reflects increased trade intensity related to specialization.Several (but not all) of the major sources of net embodied imports are largely unavoidable consequences of European consumption because the primary production activities (e.g. mining and significant shares of agricultural) could not realistically occur within the EU. The total EU carbon footprint has reduced since 2007, but at a slower rate than production-based emissions, and rarely faster than GDP growth. Consumption growth has had a much greater impact on the EU carbon footprint than the offshoring of production. Trade in both directions (imports and exports) is important for the manufacturing sector. The data does not support claims of wholesale ‘de-industrialisation’ but rather reflects increased trade intensity related to specialization. Several (but not all) of the major sources of net embodied imports are largely unavoidable consequences of European consumption because the primary production activities (e.g. mining and significant shares of agricultural) could not realistically occur within the EU.
DOI: 10.17632/6pb6g2h44h
title: Economic growth before the Industrial Revolution: Rural production and guilds in the European Little Divergence

description: Replication files of the paper “Economic growth before the Industrial Revolution: Rural production and guilds in the European Little Divergence”
DOI: 10.17632/mrwf7fcg5n
title: Skin Picking Disorder - Supplementary Files

description: This is supplementary files for Skin Picking Disorder systematic review paper.
DOI: 10.6084/m9.figshare.19095298.v1
title: The association between urinary phytoestrogens and depressive symptoms

description: Present evidence outlining the association between different types of phytoestrogens and depressive symptoms in the general population is limited and contradictory. Data from the 2007–2010 National Health and Nutrition Examination Survey (NHANES) were used to examine their association. Phytoestrogens were measured in urine samples and depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression and restricted cubic spline models were used to evaluate associations. In one model, lignans and enterolactone were inversely associated with the prevalence of depressive symptoms. Compared with the lowest quartile (Q1), the odds ratios (ORs; 95% confidence intervals [CIs]) for participants in the highest quartile of lignans and enterolactone were 0.44 (0.27–0.72) and 0.42 (0.26–0.67) for depressive symptoms, respectively. Additionally, the dose-response relationships between urinary lignans or enterolactone and depressive symptoms showed a linear trend. Our results suggest that urinary lignans and enterolactone are inversely associated with the prevalence of depressive symptoms.
DOI: 10.6084/m9.figshare.19928447.v1
title: Use of interactive storytelling trailers to engage students in an online learning environment

description: Survey questions and responses.
DOI: 10.6084/m9.figshare.22644136.v1
title: Supplementary Material for: Risk factors for Stroke in the Young (18-45 Years); Case-control analysis of INTERSTROKE data from 32 countries

description: Background: It is not clear whether conventional vascular risk factors are responsible for most strokes in patients younger than 45 years of age. Our objective is to evaluate the association of common risk factors with stroke in individuals under 45 years. Methods: INTERSTROKE was a case-control study carried out in 32 countries between 2007 and 2015. Patients presenting within 5 days of symptom onset of a first stroke were enrolled as cases. Controls were age and sex matched to cases, and had no history of stroke. Cases and controls underwent similar evaluations. Odds ratios (ORs) and population-attributable risks (PARs) were calculated to determine the association of various risk factors with all stroke, ischemic stroke and intracranial haemorrhage, for patients 45 years of age or younger. Findings: 1,582 case-control pairs were included in this analysis. The mean age of this cohort was 38·5 years (SD 6·32). Overall, 71% strokes were ischemic. Cardiac causes [OR 8·42 (95% CI 3·01-23·5)]; binge drinking of alcohol [OR 5·44 (95% CI 1·81-16·4)]; Hypertension [OR 5·41 (95% CI 3·40-8·58)]; ApoB/Apo A1 ratio [OR 2·74 (95% CI 1·69-4·46)]; psychosocial stress [OR 2·33 (95% CI 1·01-5·41)]; smoking [OR 1·85 (95% CI 1·17-2·94)] and increased waist to hip ratio (WHR) [OR 1·69 (95% CI 1·04-2·75)] were the most important risk factors for ischemic stroke in these young cases. For ICH, only hypertension [OR 9·08 (95% CI 5·46-15·1)] and binge drinking [OR 4·06 (95% CI 1·27-13·0)] were significant risk factors. The strength of association and Population Attributable Fraction (PAR) for hypertension increased with age (PAR 23·3% in those &lt;35 years of age, 50·7 % in 35-45 years of age). Interpretation: Conventional risk factors such as hypertension, smoking, binge drinking of alcohol, central obesity, cardiac causes, dyslipidaemia and psychosocial stress are important risk factors for stroke in those younger than 45 years of age. Hypertension is the most significant risk factor in all age groups, and across all regions and both stroke subtypes. These risk factors should be identified and modified in early adulthood to prevent strokes in young individuals.
DOI: 10.6084/m9.figshare.3550536.v1
title: Appendix B. Abundance of hosts in the terrestrial habitat and predation rate of trout on hosts.

description: Abundance of hosts in the terrestrial habitat and predation rate of trout on hosts.