cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17028/rd.lboro.14958147
title: Supplementary information files for When randomisation is not good enough: Matching groups in intervention studies

description: Supplementary files for article When randomisation is not good enough: Matching groups in intervention studies. Randomised assignment of individuals to treatment and controls groups is often considered the gold standard to draw valid conclusions about the efficacy of an intervention. In practice, randomisation can lead to accidental differences due to chance. Researchers have offered alternatives to reduce such differences, but these methods are not used frequently due to the requirement of advanced statistical methods. Here, we recommend a simple assignment procedure based on variance minimisation (VM), which assigns incoming participants automatically to the condition that minimises differences between groups in relevant measures. As an example of its application in the research context, we simulated an intervention study whereby a researcher used the VM procedure on a covariate to assign participants to a control and intervention group rather than controlling for the covariate at the analysis stage. Among other features of the simulated study, such as effect size and sample size, we manipulated the correlation between the matching covariate and the outcome variable and the presence of imbalance between groups in the covariate. Our results highlighted the advantages of VM over prevalent random assignment procedure in terms of reducing the Type I error rate and providing accurate estimates of the effect of the group on the outcome variable. The VM procedure is valuable in situations whereby the intervention to an individual begins before the recruitment of the entire sample size is completed. We provide an Excel spreadsheet, as well as scripts in R, MATLAB, and Python to ease and foster the implementation of the VM procedure.
DOI: 10.17028/rd.lboro.14958147.v1
title: Supplementary information files for When randomisation is not good enough: Matching groups in intervention studies

description: Supplementary files for article When randomisation is not good enough: Matching groups in intervention studies. Randomised assignment of individuals to treatment and controls groups is often considered the gold standard to draw valid conclusions about the efficacy of an intervention. In practice, randomisation can lead to accidental differences due to chance. Researchers have offered alternatives to reduce such differences, but these methods are not used frequently due to the requirement of advanced statistical methods. Here, we recommend a simple assignment procedure based on variance minimisation (VM), which assigns incoming participants automatically to the condition that minimises differences between groups in relevant measures. As an example of its application in the research context, we simulated an intervention study whereby a researcher used the VM procedure on a covariate to assign participants to a control and intervention group rather than controlling for the covariate at the analysis stage. Among other features of the simulated study, such as effect size and sample size, we manipulated the correlation between the matching covariate and the outcome variable and the presence of imbalance between groups in the covariate. Our results highlighted the advantages of VM over prevalent random assignment procedure in terms of reducing the Type I error rate and providing accurate estimates of the effect of the group on the outcome variable. The VM procedure is valuable in situations whereby the intervention to an individual begins before the recruitment of the entire sample size is completed. We provide an Excel spreadsheet, as well as scripts in R, MATLAB, and Python to ease and foster the implementation of the VM procedure.
DOI: 10.5281/zenodo.5091466
title: Datasets

description: Datasets used for the ML training, validating & testing in the paper "Machine learning the derivative discontinuity of density-functional theory" (https://arxiv.org/abs/2106.16075)
DOI: 10.5281/zenodo.5091465
title: Datasets

description: Datasets used for the ML training, validating & testing in the paper "Machine learning the derivative discontinuity of density-functional theory" (https://arxiv.org/abs/2106.16075)
DOI: 10.17632/shnh4mydr5.1
title: LINF_150018000

description: succinate dehydrogenase subunit 2C | SDH2C Leishmania infantum (strain JPCM5)
DOI: 10.17632/cjvwvpdr8f.1
title: Flat Plate Solar thermal Collector

description: The data refer to the experimental performance of a solar thermal collector designed, fabricated and studied in the laboratory.
DOI: 10.17632/hwmm8bsjpd.2
title: Global horizontal irradiation data in Brazilian typical meteorological years

description: Global horizontal irradiation data and building performance simulation results derived from the research "Assessment of solar radiation data quality in typical meteorological years and its influence on the building performance simulation".
DOI: 10.17632/wc98sc6wgm.1
title: Association of Food Insecurity with Atopic Dermatitis - Supplement

description: Contains supplemental table 1 to the study "Association of Food Insecurity with Atopic Dermatitis: A Cross Sectional Analysis of a National Sample of Pediatric Patients"
DOI: 10.17632/md3rpf8j45.1
title: Publications on the Asset Price Bubbles research

description: All 283 publications on the topic of the Asset Price Bubbles on Scopus for bibliometric analysis!
DOI: 10.17632/8c3prfyzct.2
title: فصلنامه تحقیقات حقوق قضایی-مرجع پذیرش و چاپ مقالات حقوقی-سردبیر و صاحب امتیاز:دکتر بهنام اسدی

description: فصلنامه تحقیقات حقوق قضایی به شماره مجوز 86227 • شماره ISSN چاپی: 2717-1132 • ایمیل : journal.law@yahoo.com نام صاحب امتیاز: دکتر بهنام اسدی آدرس دفتر نشریه: تهران.میدان انقلاب.خیابان اردیبهشت، پلاک92 شماره تلفن: 02166979519-02166979526 ایمیل : journal.law@yahoo.com وبسایت رسمی: olomensani.ir محل انتشار: تهران شماره همراه رابط امور اداری و قراردادهای فصلنامه: شهلا رضایی 09196748645-09196748625 حوزه های تحت پوشش: (نشریه در چه حوزه و موضوعاتی منتشر و یا مقاله می پذیرد) این فصلنامه در زمینه های حقوق و علوم سیاسی و مطالعات فقه و الهیات و مبانی اسلامی، علوم قضایی و ثبتی پذیرش مقاله دارد. مشخصات اعضا و ارکان مهم علمی فصلنامه تحقیقات حقوق قضایی سردبیر و صاحب امتیاز: دکتر بهنام اسدی اعضای هیات تحریریه بنیاد علمی قانون یار: دکتر بهنام اسدی دکتر سعید خردمندی دکتر علی عباس حیاتی دکتر شهلا رضایی دکتر بابک وثوقی فرد دکتر میرحیدر میرنقی زاده دکتر عباس ایوانی دکتر حفیظ الله مبلغ دکتر محمد اسحق رحیمی دکتر امان الله شفایی دکتر ذاکر حسین رضایی خانم دکتر صالحه شریفی این نشریه علمی وابسته به موسسه قانون یار می باشد
DOI: 10.15151/esrf-es-479895857
title: Characterization of graphene growth and structure on a liquid copper surface.

description: Experiment is aimed to study growth and structure of the graphene grown on the molten copper using X-ray reflectivity and grazing incidence diffraction techniques at ID10 EH1 hutch.
DOI: 10.5281/zenodo.5081941
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.5281/zenodo.4945524
title: Optical properties of water-coated sea salt aerosol

description: Optical properties of water-coated and partially dissolved sea salt aerosol particles have been computed with non-concentrical core-shell models (using MSTM) cube-sphere hybrids (using Tsym) homogeneous superellipsoids (using Tsym) inhomogeneous superellipsoids (using ADDA) coated convex polyhedra (using ADDA) Model raw output data as specified in the respective code documentations is provided. In addition input files for the Tsym calculations and the geometry files for the coated convex polyhedra (in DDSCAT input file format) are included. The manuscript describing this research was submitted to Optics Express in July 2021.
DOI: 10.5281/zenodo.5078043
title: Assessing the Nature of Chiral-Induced Spin Selectivity by Magnetic Resonance. Open data set

description: Data supporting the original figures 2,3,4 of the related publication.
DOI: 10.5281/zenodo.5078042
title: Assessing the Nature of Chiral-Induced Spin Selectivity by Magnetic Resonance. Open data set

description: Data supporting the original figures 2,3,4 of the related publication.
DOI: 10.17632/888872ygtv.1
title: KWV-1 Core and well log data set

description: Core log and well log of the SE part of the main Karoo Basin, South Africa.
DOI: 10.17632/22h6bdcyjx.1
title: Deep Mutational Scanning, Convolutional Neural Networks, and COVID-19

description: Abstract Biochemical phenotypes are major indexes for protein structure and function characterization. They are determined, at least in part, by the intrinsic physicochemical properties of amino acids and may be reflected in the protein three-dimensional structure. Modeling mutational effects on biochemical phenotypes is a critical step for understanding protein function and disease mechanism as well as enabling drug discovery. Deep Mutational Scanning (DMS) experiments have been performed on SARS-CoV-2’s spike receptor binding domain and the human ACE2 zinc-binding peptidase domain – both central players in viral infection and evolution and antibody evasion - quantifying how mutations impact binding affinity and protein expression. Here, we modeled biochemical phenotypes from massively parallel assays, using convolutional neural networks trained on protein sequence mutations in the virus and human host. We found that neural networks are significantly predictive of binding affinity, protein expression, and antibody escape, learning complex interactions and higher-order features that are difficult to capture with conventional methods from structural biology. Integrating the intrinsic physicochemical properties of amino acids, including hydrophobicity, solvent-accessible surface area, and long-range non-bonded energy per atom, significantly improved prediction (empirical p&lt;0.01) though there was such a strong dependence on the sequence data alone to yield reasonably good prediction. We observed concordance of the DMS data and our neural network predictions with an independent study on intermolecular interactions from molecular dynamics (multiple 500 ns or 1 μs all-atom) simulations of the spike protein-ACE2 interface, with critical implications for the use of deep learning to dissect molecular mechanisms. The application of our deep learning framework to a monoclonal antibody escape phenotype predicted specific escape mutations, which we confirmed in an independent experimental dataset. The mutation- or genetically- determined component of a biochemical phenotype estimated from the neural networks has improved causal inference properties relative to the original phenotype and can facilitate crucial insights into disease pathophysiology and therapeutic design. Reference Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2. BioRxiv. Bo Wang & Eric R. Gamazon*
DOI: 10.17632/39vyky2b5w.1
title: Suitability of the Decentralised Wastewater Treatment effluent for agricultural use: Decision Support System approach

description: The study aimed to (i) assess the suitability of AF effluent irrigation water quality for different crops (maize, cabbage and lettuce), soils (coarse sand, sandy loam and clay) in four agro-ecological regions of South Africa, with special focus on impacts on microbial contamination, crop quality, soil quality and environmental pollution, and (iii) provide recommendations for optimizing soil quality, crop yield and human health in DEWATS effluent irrigated soils across agro-ecological regions of South Africa. The South African Water Quality guideline decision support system was parameterized using the characterization data from the Anaerobic Filter (AF) effluent and simulated for a period of 45 years. The model generated the effects of AF effluent on the soil (soil profile salinity, soil permeability, oxidisable carbon loading and trace element accumulation), yield and crop quality in maize, lettuce and cabbage (root zone effects, leaf scorching when wetted, contribution to NPK removal and microbial contamination) and effects on irrigation equipment (corrosion or scaling of irrigation equipment and clogging of drippers).
DOI: 10.6084/m9.figshare.14958195
title: Data A Clinical Evaluation of Giomer and Resin-based Fissure Sealants on Permanent Molars Affected by Molar-Incisor Hypomineralization.xlsx

description: Molar-incisor hypomineralization (MIH) is a common condition among children that significantly increases the risk of caries. The objective of this research was to evaluate the clinical success of giomer- and resin-based fluoride releasing sealants applied on first permanent molars (FPMs) affected by MIH.
DOI: 10.6084/m9.figshare.14958195.v1
title: Data A Clinical Evaluation of Giomer and Resin-based Fissure Sealants on Permanent Molars Affected by Molar-Incisor Hypomineralization.xlsx

description: Molar-incisor hypomineralization (MIH) is a common condition among children that significantly increases the risk of caries. The objective of this research was to evaluate the clinical success of giomer- and resin-based fluoride releasing sealants applied on first permanent molars (FPMs) affected by MIH.
DOI: 10.17632/c7b9ysjp39.1
title: animal_crashes_Louisiana_2014-18
DOI: 10.5281/zenodo.5090430
title: IoT bugs based on CVEs and Issues

description: we created two datasets of IoT-related vulnerable clones.
DOI: 10.5281/zenodo.4971341
title: IoT bugs based on CVEs and Issues

description: we created two datasets of IoT-related vulnerable clones.
DOI: 10.5281/zenodo.4905431
title: IoT bugs based on CVEs

description: I collected IoT systems dateset based on CVEs.
DOI: 10.5281/zenodo.4905430
title: IoT bugs based on CVEs

description: I collected IoT systems dateset based on CVEs.
DOI: 10.23708/xfwibr
title: Impact of soil biodiversity in Southern Tunisia in 2019

description: Measure of the impact of soil biodiversity (termites, ants, rodents) on soil properties (soil bulk density, water hydraulic conductivity, particle size distribution, C content, spectral signature in the infrared region by FTIR) in a semi-arid area in the south of Tunisia (region of Médenine, protected area).
DOI: 10.23708/k4qofs
title: Dataset describing soil sheeting properties produced by termites sampled in 21 countries from 2015 to 2020

description: Dataset describing sheeting properties made by termites (names, and feeding and building categories are given) sampled in 34 study sites, including M-Tropics observatories, from 19 countries. Data coming from 15 published studies are also given, for a total of 49 sites and 21 countries. The dataset include the locations (site names, countries, GPS coordinates, mean annual precipitations ‚MAP‘) and soil properties (electrical conductivity in µS cm-1, pH, C content in %, soil aggregate stability (in % aggregates &gt; 200 µm) and sand, silt and clay contents in %) of termite sheetings and the surrounding topsoil. The Response ratio (R = Value of termite sheeting / Value oft he bulk soil) is also given for each variable. Files include the whole dataset (n = 249 observations) and the average per species and study site (n = 84 observations).
DOI: 10.23708/wt99pp
title: Comparison of the nest organization and soil properties of Microcerotermes pakistanicus and Odontotermes obesus constructions in the Western Ghats, India

description: Dataset describing the soil properties (termite nests and sheetings) and nest organization of two common species in Kerala, India: Odontotermes obesus and Microcerotermes pakistanicus. Soil properties included: pH, electrical conductivity (uS cm-1), soil particle size distribution (clay, silt, sand, in %), and C (%), N (%), anion (Cl, F, NO3, SO4, in ppm) and cation (Na, K, Mg, Ca, in ppm) contents . Nest organization was measured using X-ray computed tomography and measures consisted in the measure of the total soil macroporosity (%), pore density (number mm-3), mean diameter (mm) and the probability gamma.
DOI: 10.23708/5jindn
title: Dataset from an in-field experimental rainfall simulation - soil erosion, dissolved organic carbon and nutrient losses - Vietnam, Hanoi Province, Dong Cao, 2011-2013

description: The export of dissolved organic carbon (DOC) from agricultural soils can represent an important path-way of soil organic carbon loss. Here we present the data of a series of rain simulation experiments aimed at examining DOC export from sloping lands in North Vietnam. Three regularly used agricultural practices were tested and compared with Bare soils. We also compared the impact of leaf litter in two planted forest sites.
DOI: 10.5517/ccdc.csd.cc24px4x
title: CCDC 1987259: Experimental Crystal Structure Determination

description: Related Article: Yanxiong Pan, Qiaobin Li, Hui Li, Jasmin Farmakes, Angel Ugrinov, Xiao Zhu, Zhiping Lai,  Bingcan Chen, and Zhongyu Yang |2021|CSD Communication|||
description: Related Article: Yanxiong Pan, Qiaobin Li, Hui Li, Jasmin Farmakes, Angel Ugrinov, Xiao Zhu, Zhiping Lai,  Bingcan Chen, and Zhongyu Yang |2021|Chem Cat.|1|146|doi:10.1016/j.checat.2021.03.001
DOI: 10.5517/ccdc.csd.cc27kgjt
title: CCDC 2072366: Experimental Crystal Structure Determination

description: Related Article: Virender Singh and Shubham Sharma|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc229bxn
title: CCDC 1915611: Experimental Crystal Structure Determination

description: Related Article: barathi diravidamani|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27m311
title: CCDC 2073932: Experimental Crystal Structure Determination

description: Related Article: Sergey Belyakov, Ansis Maleckis|2021|CSD Communication|||
description: Related Article: Ansis Maleckis, Iresha D. Herath, Gottfried Otting|2021|Org.Biomol.Chem.|19|5133|doi:10.1039/D1OB00611H
DOI: 10.5517/ccdc.csd.cc27m568
title: CCDC 2073999: Experimental Crystal Structure Determination

description: Related Article: Winnie Luo|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27mfgs
title: CCDC 2074255: Experimental Crystal Structure Determination

description: Related Article: Winnie Luo|2021|CSD Communication|||
DOI: 10.23708/kp9kbw
title: Dataset from an in-field experimental rainfall simulation - Influence of macrofauna on runoff and erosion - Vietnam, Hanoi Province, Dong Cao, March 2011

description: We assessed the effect of the micro-relief generated by earthworms and termites on soil hydrodynamic properties, and soil and nutrient losses. Eighteen 1 m×1 m plots were established for rainfall simulation experiments (2 runs of 40 min rain, intensity 90 mm h−1) in a steep slope fallow in Northern Vietnam. The soil surface of the micro-plots differed in the proportions of earthworm casts and termite sheetings. The results confirmed the importance of soil biostructures in the regulation of pedohydrological properties of soils. Although globular water-stable earthworm casts promote water infiltration in soil and decrease soil and nutrient losses, the unstable termite sheetings break-down rapidly and generate structural crusts which foster water runoff and soil detachment.
DOI: 10.5517/ccdc.csd.cc288btq
title: CCDC 2093393: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Effendy, Allan H. White|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc288k37
title: CCDC 2093588: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Effendy, Allan H. White|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc288m9h
title: CCDC 2093656: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Vitaly Raev, Henning Hopf|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc288mbj
title: CCDC 2093657: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Vitaly Raev, Henning Hopf|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc288mck
title: CCDC 2093658: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Vitaly Raev, Henning Hopf|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc288mdl
title: CCDC 2093659: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Vitaly Raev, Henning Hopf|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc288mfm
title: CCDC 2093660: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Andreas Weinkauf, Vitaly Raev, Henning Hopf|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc288tds
title: CCDC 2093845: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Effendy, Allan H. White|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2898c7
title: CCDC 2094278: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Effendy, Allan H. White|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28b90y
title: CCDC 2095259: Experimental Crystal Structure Determination

description: Related Article: Jannik Gilmer, Michael Bolte|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28bbxw
title: CCDC 2095318: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2021|CSD Communication|||
DOI: 10.23708/svhiuc
title: Dataset from an in-field experimental rainfall simulation and aquatic mesocosm - Vietnam, Hanoi Province, Dong Cao and Cua Khau Lake, 2012

description: In North Vietnam, we focused on understanding the effects of DOC runoff from soils amended with compost, vermicompost, or biochar on the aquatic microbial community of a tropical reservoir. Runoff collected from a series of rainfall simulations on soils amended with different organic fertilizers was incubated for 16 days in a series of 200 L mesocosms filled with water from a downstream reservoir.
DOI: 10.25505/fiz.icsd.cc28bx1l
title: CSD 2095849: Experimental Crystal Structure Determination

description: Related Article: Elena Belokoneva|2021|ICSD Communication|||
DOI: 10.17632/3h4np82rwx.1
title: Dataset_Do infants avoid a traversable slope leading into deep water?

description: The present study aimed to investigate the effect of age and locomotor experience on infants’ avoidance of submersion when a slope is offered to access the water. In addition, infants’ tendency to enter the water on the water slope was compared with their tendency to fall into the water on the water cliff (Datasets_Real Cliff / Water Cliff cross-sectional study; https://data.mendeley.com/drafts/pnj7wv3g2s). Seventy‐seven infants, 43 crawlers and 34 walkers were tested on the water slope. The Water Slope apparatus is a 10° inclined ramp installed in a swimming flume. The 1‐m‐long starting platform was above the water level and the 5‐m‐long ramp began out of the water (5 cm above water level), leading to a water depth of 75 cm (below the mothers’ feet). Infants’ safety was ensured by a track and pulley system with an attached harness. The pulley could move the entire length of the track, above the apparatus, following the infants’ movements without constraining them. A rope was tied to the infants’ harness and was held at its other end by the experimenter responsible for the infants’ safety. Infants were free to explore the apparatus and as soon as the infants’ chin touched the water they were pulled up and they were conducted to their mothers. The tests were ended if after 2.5 minutes after touching the water the infants did not reach the submersion point (i.e., chin touching the water).