cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25835/6rm5xwci
title: Interview Guideline to Identify Innovation-driven Influencing Factors on Manufacturing and Material Costs

description: The interview guideline is used for a semi-structured interview with experts of a process invention for the collection of data in the form of invention-driven technical effects that influence manufacturing and material costs. The questions listed in the guideline result from an effect model that structures manufacturing and material costs into further cost drivers on several levels on the basis of a systematic literature research. Thus, those questions reach a level that can be addressed by process experts through the technical effects to be identified.
DOI: 10.5281/zenodo.8164888
title: Mass movement hazard and exposure in the Himalaya (codes and datasets)

description: This library contains codes and generated datasets for the article <strong>Mass movement hazard and exposure in the Himalaya</strong> <strong>Saket Dubey<sup>1,3</sup>, Ashim Sattar<sup>2*</sup>, Manish Kumar Goyal<sup>3</sup>, Simon Allen<sup>2</sup>, Holger Frey<sup>2</sup>, Umesh K. Haritashya<sup>1</sup>, Christian Huggel<sup>2</sup></strong> <sup>1</sup>School of Infrastructure, Indian Institute of Technology Bhubaneswar, Odisha, India <sup>2</sup>Divecha Centre for Climate Change, Indian Institute of Science, Bangalore, India <sup>3</sup>Department of Geology and Environmental Geosciences, University of Dayton, Dayton, OH, USA <sup>4</sup>Department of Civil Engineering, India Institute of Technology, Indore, Madhya Pradesh, India <sup>5</sup>Environment and Climate: Impacts, Risks and Adaptation (EClim), Department of Geography, University of Zurich, Switzerland. Correspondence: Ashim Sattar (ashim.sattar@gmail.com) It contains the following files 1. Shapefile of mountains considered in the study (taken from Global Terrestrial Network for Glaciers (GTN-G) regions). 2. Developed mass movement trajectories for different source failure depths (10m, 30m, and 50m). 3. Developed mass movement trajectories considering ice-free scenarios for different source failure depths (10m, 30m, and 50m). 4. Current (2020) and future (2100) mass movement exposure of the population considering SSP1 and SSP3 (10m, 30m, and 50m). 5. Matlab code for the determination of mass movement trajectories. GLACIER REGIONS – Global Terrestrial Network for Glaciers. Retrieved January 27, 2022, from https://www.gtn-g.ch/data_catalogue_glacreg/
DOI: 10.6084/m9.figshare.22665424
title: Supplementary Material for: Complete Response of Rare Sarcomatoid Upper Tract Urothelial Carcinoma Variant : Case Report and Literature Review

description: Infiltrating urothelial carcinoma sarcomatoid variant is a rare variant of urothelial carcinoma. We report a case of a 68-year-old female with a history of hematuria. CT Scan with contrast showed a mass in the 1/3 distal of the right ureter. The biopsy result showed a high-grade infiltrating urothelial carcinoma. A radical nephroureterectomy (RNU) was performed but at the follow-up after 3 months, there was a recurrent mass and Gemcitabine-Cisplatin chemotherapy was given. Since a high-grade infiltrating urothelial carcinoma sarcomatoid variant was an aggressive tumor, we need to give more attention to evaluating this tumor.
DOI: 10.3886/e120246v1
title: Data and Code for: Methods Matter: P-Hacking and Publication Bias in Causal Analysis in Economics

description: The credibility revolution in economics has promoted causal identification using randomized control trials (RCT), difference-in-differences (DID), instrumental variables (IV) and regression discontinuity design (RDD). Applying multiple approaches to over 21,000 hypothesis tests published in 25 leading economics journals we find that the extent of p-hacking and publication bias varies greatly by method. IV (and to a lesser extent DID) are particularly problematic. We find no evidence that: (1) Papers published in the `Top 5' journals are different to other; (2) The journal revise and resubmit process mitigates the problem; (3) Things are improving through time.<br>
DOI: 10.6084/m9.figshare.23764656
title: Supplementary Material for: Interaction between serum cotinine, magnesium intake with childhood asthma: a cross-sectional study

description: Introduction: Serum cotinine and magnesium intake are often associated with childhood asthma. This study evaluated the interaction between serum cotinine, magnesium intake with childhood asthma. Methods: This cross-sectional study included 14,159 subjects from National Health and Nutrition Examination Survey 2005-2018. Serum cotinine levels were classified according to the lower quartile: ≤0.2089 ng/mL as low-level and &gt;0.2089 ng/mL as high-level. Magnesium intake were categorized as high (&gt;98 mg/1000kcal) or low level (≤98 mg/1000kcal) based on the upper quartile. Adopted the weighted logistic regression analyses to analyze the association between cotinine, magnesium intake and childhood asthma. Additionally, the combined effect of cotinine and magnesium intake on childhood asthma risk was examined. The stratified analyses based on gender, body mass index and family history of asthma to further examine the relationship between cotinine, magnesium intake and childhood asthma. Results: The prevalence of asthma was approximately 17.56%. Compared to low-level cotinine, high-level cotinine was associated with asthma [odds ratio (OR) = 1.25, 95% confidence interval (CI): 1.04-1.50]. Low-level magnesium intake was related to asthma compared with high-level magnesium intake (OR=1.21, 95%CI: 1.04-1.40). Using interaction analysis, we also found that the combined effect of cotinine and magnesium intake was associated with childhood asthma risk, and the interaction between high-level cotinine and low-level magnesium intake was associated with the highest risk of childhood asthma (OR=1.35, 95%CI: 1.04-1.74). Additionally, this interaction was also found in male, overweight/non-overweight and those with family history of asthma. Conclusion: There was an interaction between serum cotinine and magnesium intake on childhood asthma. The results suggested that implementing smoking bans in certain settings (e.g., communities, schools) and promoting the consumption of magnesium-rich foods may be effective strategies for preventing childhood asthma.
DOI: 10.6084/m9.figshare.24084018
title: Supplementary Material for: Circulating metabolites and cardiovascular disease in Asians with chronic kidney disease

description: Introduction Chronic kidney disease (CKD) is a growing public health problem, with significant burden of cardiovascular disease and mortality. The risk of cardiovascular disease in CKD is elevated beyond that predicted by traditional cardiovascular risk factors, suggesting that other factors may account for this increased risk. Through metabolic profiling, this study aimed to investigate the associations between serum metabolites associated with prevalent cardiovascular disease in Asian patients with CKD to provide insights into the complex interactions between metabolism, cardiovascular disease in CKD. Methods This was a single-center cross-sectional study of 1122 individuals from three ethnic cohorts in the population-based Singapore Epidemiology of Eye Disease (SEED) study (153 Chinese, 707 Malays, and 262 Indians) aged 40-80 years with CKD (estimated glomerular filtration rate &lt;60 mL/min/1.73 m2). Nuclear magnetic resonance (NMR) spectroscopy was used to quantify 228 metabolites from participants’ serum or plasma. Prevalent cardiovascular disease was defined as self-reported myocardial infarction, angina, or stroke. Multivariate logistic regression identified metabolites independently associated with cardiovascular disease in each ethnic cohort. Metabolites with the same direction of association in all three cohorts were selected and those significantly associated with cardiovascular disease after Bonferroni correction were meta-analyzed. Results Cardiovascular disease was present in 275 (24.5%). Participants with cardiovascular disease tend to be male, of older age, with hypertension, hyperlipidemia and diabetes; with lower systolic and diastolic blood pressure (BP), high-density lipoprotein (HDL)- and low-density lipoprotein (LDL)- cholesterol than those without cardiovascular disease. After adjusting for age, sex, systolic blood pressure, diabetes, total cholesterol and HDL-cholesterol, 10 lipoprotein subclass ratios and 6 other metabolites were significantly associated with prevalent cardiovascular disease in at least one cohort. Meta-analysis with Bonferroni correction for multiple comparisons found that lower tyrosine, leucine and valine concentrations and lower cholesteryl esters to total lipid ratio in intermediate-density lipoprotein (IDL) were associated with cardiovascular disease. Discussion/Conclusion In Chinese, Malay and Indian participants with CKD, prevalent cardiovascular disease was associated with tyrosine, leucine, valine and cholesteryl esters to total lipid ratios in IDL. Increased cardiovascular risk in CKD patients may be contributed by altered amino acid and lipoprotein metabolism. The presence of CKD and ethnic differences may affect interactions between metabolites in health and disease, and with greater understanding will allow us to better risk stratify patients, and also individualize care with consideration of ethnic disparities.
DOI: 10.6084/m9.figshare.24219226
title: Supplementary Material for: Associations of the P300 Event-related Potentials and Self-Reported Craving in Substance Use Disorders: A Systematic Review

description: Introduction The phenomenon of craving and attention bias towards drug cues is theorized to operate cooperatively, owing to the principles of associative learning. In this context, the conditioned response to drug-related stimuli activates reward mechanisms within the brain, consequently inducing craving and fostering the underlying mechanisms that contribute to relapse in individuals with substance use disorders. Multiple studies have assessed the relationship between attention to substance-related cues and subjective craving through electroencephalography (EEG), but their findings have yet to be synthesized and examined. This review summarizes the association between the amplitude of the P300 event-related potential (ERP) and substance use craving, compares discrepancies in results by type of substance, and discusses gaps in the literature to inform future research. Methods A systematic search was conducted on Embase, Web of Science, CINAHL, and PsychINFO databases. Studies were published in English and included peer-reviewed human research investigating the relationship between EEG P300 ERP and self-reported substance use craving. The included study samples comprised of a substance-using group of treatment or non-treatment-seeking participants. The primary outcomes of interest were those derived from inferential statistics assessing P300 amplitude and substance use craving. Results Ten studies were included in the final search and were organized by substance type: three alcohol, three cocaine, two tobacco, one heroin, and one cannabis. Results were mixed for alcohol and cocaine. Studies on tobacco, heroin, and cannabis use were congruent for associations between the P300 amplitude and craving. Discussion/Conclusions Overall findings are mixed between studies addressing the association of the EEG P300 amplitude and craving. These results should be considered in the context of the limited sample size, underpowered analyses, and methodological differences that potentially contribute to discrepancies in outcomes. Further research is required to assess the role of craving assessment, EEG methodology, and substance-related factors on the association between P300 amplitude and self-reported craving.
DOI: 10.18462/iir.icr.2019.0215
title: Study of freezing process and short-term storage of meat using electroconvection.
DOI: 10.5281/zenodo.6369445
title: SynPhoRest - Synthetic Photorealistic Forest Dataset with Depth Information for Machine Learning Model Training

description: <strong>SynPhoRest </strong>is a synthetic dataset collected on virtual forests. It features RGB images, semantic segmentation maps, depth maps and the projection of LIDAR point clouds on the RGB FOV for two different LIDAR scanning patterns. The dataset has a total of 3154 frames.<br> <br> A description of the available data follows: <strong>RGB images</strong> Resolution: 848 x 480 pixels. PNG files with 8 bits encoding per channel. <strong>Segmentation Maps</strong> Resolution: 848 x 480 pixels. PNG files with a single 8 bit channel. Classes are encoded as follows: <strong>Value</strong> <strong>Class</strong> 0 Background 1 Soil 2 Traversable 3 Canopy 4 Fuel 5 Trunks Fuel represents flammable material such as shrubbery and grass. <strong>Depth Maps</strong> Resolution: 848 x 480 pixels. PNG files with a single 16 bit channel The depth value is encoded in the unsigned integer format. Infinite depth is represented by the value 65535. To obtain the depth values in meters, the original values must by divided by 256. The FOV of the virtual depth camera was the same as the FOV of the RGB camera. <strong>LIDAR Point Cloud Projections on the RGB Camera FOV</strong> Resolution: 848 x 480 pixels. PNG files with a single 16 bit channel. The distance values are encoded in the unsigned integer format. To obtain the distance values in meters the original values must by divided by 256. On average, the projection images have a point density of 5.5%. In practice, this means that 5.5% of the pixels in the projection image have distance information. Two LIDAR Point Cloud Projections were made available. One for a LIDAR with a repeating line pattern and other resembling the commercially available Livox Horizon LIDAR scanner.
DOI: 10.3334/cdiac/00002
title: Carbon 
Dioxide, Hydrographic, and Chemical Data Obtained During the R/Vs Roger Revelle and Thomas G. 
Thompson Repeat Hydrography Cruises in the Pacific Ocean: CLIVAR CO2 Sections P16S_2005 
(6 January - 19 February 2005) and P16N_2006 (13 February - 30 March, 2006)
DOI: 10.3886/icpsr01212
title: Measuring Monetary Policy Inertia in Target Fed Funds Rate Changes
title: Archival Version

description: Recent research has grappled with an apparent paradox: Why would a central bank that is focused primarily on inflation control exhibit signs of inertia when making policy adjustments? In this article, the author argues that fully characterizing the policy inertia is a precondition toward resolving the apparent paradox. This research presents empirical estimates of adjustments to the target fed funds rate that take into account two facets of policy inertia: a partial-adjustment mechanism and thresholds for making discrete changes to the target fed funds rate. With a more complete picture of the policy inertia, subsequent research can investigate whether policy appears to display either too much or the right amount of inertia.
description: Datasets: 
 
 DS1: Dataset
description: (1) The files submitted are 9909md.wf1 and 9909md.xls. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator if further information is desired.
DOI: 10.5281/zenodo.7886677
title: Impacts of SAPS on SED/TOI

description: The simulation data used in our manuscript.
DOI: 10.6084/m9.figshare.24139110
title: Supplementary Material for: The Worsening Renal Perfusion Index predicts the prognoses of heart failure patients treated with sacubitril/valsartan

description: Introduction: Sacubitril/valsartan (S/V) reduces all-cause mortality in patients with heart failure with reduced ejection fraction (HFrEF), but it may decline their estimated glomerular filtration rates (eGFR). In addition to eGFR, this clinical study aimed to develop a blood urea nitrogen (BUN)-based index to evaluate the status of renal perfusion and then identify predictors of all-cause death or heart transplant in patients with HFrEF receiving S/V. Methods: From the recruited 291 patients with HFrEF who were prescribed S/V from March 2017 to March 2019, we collected demographic, drug history, laboratory, echocardiographic, and clinical data from one year before S/V initiation until December 2020. Regression analysis was conducted by fitting Cox’s models with time-dependent covariates for the survival time and applying the modern stepwise variable selection procedure. The smoothing spline method was used to detect nonlinearity in effect and yield optimal cut-off values for continuous covariates. Results: In the Cox’s model, decreased hemoglobin level, decreased mean left ventricular ejection fraction, declined daily dose of S/V, decreased eGFR within 3 months, and increased BUN levels within 1 month and 9 months over time were significantly associated with an increased risk of all-cause death or heart transplant in patients with HFrEF. Conclusions: Adequate maintenance of renal perfusion is crucial for the continuous use of S/V and to avoid worsening renal function in patients with HFrEF. We defined the maximum increase in BUN levels within a specified period as the Worsening Renal Perfusion Index (WRPSV Index) to capture the prognostic effect of renal hypoperfusion in patients with HFrEF.
DOI: 10.17632/jf4pzyvnpj.1
title: Cyberbullying datasets

description: This dataset is a collection of datasets from different sources related to the automatic detection of cyber-bullying. The data is from different social media platforms like Kaggle, Twitter, Wikipedia Talk pages and YouTube. The data contain text and labeled as bullying or not. The data contains different types of cyber-bullying like hate speech, aggression, insults and toxicity.
DOI: 10.5281/zenodo.5793241
title: Rotterdam EyePACS AIROGS train set

description: The Rotterdam EyePACS AIROGS train set contains 101,442 color fundus images from 54,274 subjects and approximately 500 different sites with a heterogeneous ethnicity. All images were assigned by human experts with the labels referable glaucoma, no referable glaucoma, or ungradable. This dataset contains the data for training data of the AIROGS challenge, which is held as part of ISBI 2022. See https://airogs.grand-challenge.org/ for more information on the still ongoing challenge. The paper that summarizes the AIROGS challenge is available on ArXiv here: https://arxiv.org/abs/2302.01738. Please cite as follows: <pre>@article{devente23airogs, title={AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge}, author={de Vente, Coen and Vermeer, Koenraad A. and Jaccard, Nicolas and Wang, He and Sun, Hongyi and Khader, Firas and Truhn, Daniel and Aimyshev, Temirgali and Zhanibekuly, Yerkebulan and Le, Tien-Dung and Galdran, Adrian and González Ballester, Miguel Ángel and Carneiro, Gustavo and G, Devika R and S, Hrishikesh P and Puthussery, Densen and Liu, Hong and Yang, Zekang and Kondo, Satoshi and Kasai, Satoshi and Wang, Edward and Durvasula, Ashritha and Heras, Jónathan and Zapata, Miguel Ángel and Araújo, Teresa and Aresta, Guilherme and Bogunović, Hrvoje and Arikan, Mustafa and Lee, Yeong Chan and Cho, Hyun Bin and Choi, Yoon Ho and Qayyum, Abdul and Razzak, Imran and van Ginneken, Bram and Lemij, Hans G. and Sánchez, Clara I.}, journal={arXiv preprint arXiv:2302.01738}, year={2023} }</pre>
description: The previous version was split into two records. This new version contains all data and the second record is deprecated.
DOI: 10.5285/902fc4d8-db74-46c9-b7eb-c988f5325903
title: Runoff and basic water quality parameters at Adventdalen, Svalbard (2015-2016)

description: Adventdalen is a medium-sized (513 km2) catchment in continuous permafrost zone of central Spitsbergen. It is an important study area, but the river is highly unsuitable for monitoring runoff on account of the high sediment yield and extremely unstable channel sections in the large delta. This necessitates the estimation of runoff volume through the application of a suitable model. Daily runoff was therefore simulated using daily precipitation and temperature data series (1991-2016) and the HBV model. Daily water temperature and electrical conductivity were also monitored at the point of interest to provide basic water quality parameters alongside the runoff quantity data.
description: The calibration of De Geerdalen resulted in a Reff = 0.8454(Nash-Sutcliffe efficiency equation) with a mean difference between the observed and simulated discharge of -17 mm/year.  The results of the De Geerdalen GAP optimisation can be found in Table 3.
         Note: there is more uncertainty over the winter rainfall events, whose impact were very marked in 2016. Therefore runoff data are included as two series, one with and one without runoff during the winter season.
DOI: 10.5281/zenodo.7867240
title: Favaro_Zanoli_Dataset

description: Raw data used for the statistical analyses presented in the article "<strong>Anatomical unconstrained regions of the vocal tract determine acoustical correlates of individual identity in African penguins"</strong>
DOI: 10.5281/zenodo.7995520
title: Data and analysis for orthopaedics literature review.

description: This is a repository of all the data and analysis code to reproduce all the plots and analysis for this paper. To reproduce all plots in the paper, we used Python 3.9.7, install all the requirements in `requirements.txt`,open `Analysis.ipynb` and run every cell in order. The file 'LiteratureTaxonomy.csv' contains information on the 492 papers analysed in the paper.
DOI: 10.5281/zenodo.8021611
title: CaRCC Research Computing and Data (RCD) Workforce Survey Data 2021 - Part 2

description: Data sets to accompany "Compensation of Academic Research Computing and Data Professionals" Paper citation: Christina Maimone, Carrie Brown, Kimberly Grasch, Chris Reidy, and Ashley Stauffer. 2023. Compensation of Academic Research Computing and Data Professionals. In Proceedings of Practice and Experience in Advanced Research Computing (PEARC23). ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3569951.3593599 Survey questions: Maimone, Christina, Yockel, Scott, Middelkoop, Timothy, Alameda, Jay, Stauffer, Ashley, & Neeser, Amy. (2021). CaRCC Research Computing and Data (RCD) Workforce 2021 Census Questions (1.0). Zenodo. https://doi.org/10.5281/zenodo.5914431
DOI: 10.17632/jg8wcxw4ws.2
title: Standard descriptive matrices in the identification of exophytophagous caterpillars

description: The data set consists of numerically encoded morphological, autecological and behavioral characters of 83 species of exophytophagous lepidopteran larvae primarily belonging to the informal Macrolepidoptera group. By inspecting all of their polyphenisms, in terms of morphology, resources and habits, the data set encompasses 582 fully described cases. Each case is labeled according to the nature of the variable character class: e stands for autecological or habitual profile, and is accompanied by consecutive numbers; m stands morphological polyphenisms, and both letters present state that the species has two-level variability.
DOI: 10.17632/jg8wcxw4ws.1
title: Standard descriptive matrices in the identification of exophytophagous caterpillars

description: The data set consists of numerically encoded morphological, autecological and behavioral characters of 83 species of exophytophagous lepidopteran larvae primarily belonging to the informal Macrolepidoptera group. By inspecting all of their polyphenisms, in terms of morphology, resources and habits, the data set encompasses 582 fully described cases. Each case is labeled according to the nature of the variable character class: e stands for autecological or habitual profile, and is accompanied by consecutive numbers; m stands morphological polyphenisms, and both letters present state that the species has two-level variability.