cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2533zd
title: CCDC 1999003: Experimental Crystal Structure Determination

description: Related Article: Sebastian Bette, Gerhard Eggert, Sebastian Emmerling, Martin Etter, Thomas Schleid, Robert E. Dinnebier|2020|Cryst.Growth Des.|20|5346|doi:10.1021/acs.cgd.0c00563
DOI: 10.25505/fiz.icsd.cc25t7v3
title: CSD 2020265: Experimental Crystal Structure Determination

description: Related Article: O. Yu. Mariichak, V. V. Ignatyeva, V. N. Baumer, G. M. Rozantsev, S. V. Radio|2020|J.Chem.Cryst.|50|255|doi:10.1007/s10870-020-00845-2
DOI: 10.25505/fiz.icsd.cc25t7w4
title: CSD 2020266: Experimental Crystal Structure Determination

description: Related Article: O. Yu. Mariichak, V. V. Ignatyeva, V. N. Baumer, G. M. Rozantsev, S. V. Radio|2020|J.Chem.Cryst.|50|255|doi:10.1007/s10870-020-00845-2
DOI: 10.5281/zenodo.3932340
title: Data for article "Tracking Charge Transfer to Residual Metal Clusters in Conjugated Polymers for Photocatalytic Hydrogen Evolution"

description: Data presented in the publication "Tracking Charge Transfer to Residual Metal Clusters in Conjugated Polymers for Photocatalytic Hydrogen Evolution", published in the Journal of the American Chemical Society. The published article is available at https://doi.org/10.1021/jacs.0c06104
DOI: 10.5281/zenodo.3932339
title: Data for article "Tracking Charge Transfer to Residual Metal Clusters in Conjugated Polymers for Photocatalytic Hydrogen Evolution"

description: Data presented in the publication "Tracking Charge Transfer to Residual Metal Clusters in Conjugated Polymers for Photocatalytic Hydrogen Evolution", published in the Journal of the American Chemical Society. The published article is available at https://doi.org/10.1021/jacs.0c06104
DOI: 10.17632/vpn3gwv52k.1
title: Comparison between resorbable plates vs. titanium plates for treatment of zygomatic fractures: a systematic review with meta-analysis.

description: The aim of this systematic review was to answer the following clinical question: Do fractures of the zygomatic bone fixated with resorbable plates have better postoperative clinical outcomes when compared to fractures fixated with titanium plates? Here the search key used in the systematic review and the evaluation of the evidence through the GRADE tool are made available.
DOI: 10.17632/nfsfvy6xkf.1
title: Temporal detection and phylogenetic assessment of SARS-CoV-2 in municipal wastewater

description: SARS-CoV-2 has recently been detected in feces, which indicates that wastewater may be used to monitor viral prevalence in the community. Here we use RT-qPCR to monitor wastewater for SARS-CoV-2 RNA over a 74-day time course. We show that changes in SARS-CoV-2 RNA concentrations follow symptom onset gathered by retrospective interview of patients but precedes clinical test results. Additionally, we determine a near complete (98.5%) SARS-CoV-2 genome sequence from the wastewater and use phylogenic analysis to infer viral ancestry. Collectively, this work demonstrates how wastewater can be used as a proxy to monitor viral prevalence in the community and how genome sequencing can be used for high-resolution genotyping of the predominant strains circulating in a community. Deposited files include the following original data generated in the study: 1) Basecalled Nanopore reads for the SARS-CoV-2 genome from municipal wastewater. Date of sampling - 3/27/2020 2) Output of bioinformatic pipeline used for genome assembly and variant calling 3) Data generated in the phylogenetic analysis.
DOI: 10.17632/2yjpmd973x.2
title: Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance

description: INTRODUCTION: Confounding bias threatens the reliability of observational data and identifying confounders poses a significant scientific challenge. We hypothesize that adjustment sets of literature-derived confounders could also improve causal inference. This paper shows how to exploit literature-derived knowledge to identify confounders for causal inference from observational data. We show how semantic constraint search over literature-derived computable knowledge helps reduce confounding bias in statistical models of EHR-derived observational data. METHODS: We introduce two methods (semantic vectors and string-based confounder search) that query the literature for potential confounders and use this information to build models from EHR-derived data to more accurately estimate causal effects. These methods search SemMedDB for indications TREATED BY the drug that is also known to CAUSE the adverse event. For evaluation, we attempt to rediscover associations in a publicly available reference dataset containing expected pairwise relationships between drugs and adverse events from empirical data derived from a corpus of 2.2M EHR-derived clinical notes. For our knowledge-base, we use SemMedDB, a database of computable knowledge mined from the biomedical literature. Using standard adjustment and causal inference procedures on dichotomous drug exposures, confounders, and adverse event outcomes, varying numbers of literature-derived confounders are combined with EHR data to predict and estimate causal effects in light of the literature-derived confounders. We then compare results from the adjustment and inference procedures with naive ($\chi^2$, reporting odds ratio) measures of association. RESULTS AND CONCLUSIONS: Logistic regression with ten vector space-derived confounders achieved the most improvement with AUROC of 0.628 (95\% CI: [0.556,0.720]), compared with baseline $\chi^2$ 0.507 (95\% CI: [0.431,0.583]). Bias reduction was improved more often in modeling methods using more rather than less information, and using semantic vector rather than string-based search. We found computable knowledge useful for improving automated causal inference, and identified opportunities for further improvement, including a role for adjudicating literature-derived confounders by subject matter experts.
DOI: 10.17632/6m3v4ksd7y.2
title: Dataset on eco-friendly cement production using iron ore tailings from Brazil and evaluation of grinding process on the synthesis of geopolymers

description: The use of iron ore tailings in Brazil is an important topic after two recent tragedies. The data was collected in order to understand the geomechanical feasibility of eco-friendly cements using iron ore tailings and evaluate the impact of the grinding process on the compressive strength of geopolymers. The data is based on two major studies using the same methodology. The first one is the examination of the material best composition in terms of uniaxial compression resistance by varying its proportions of iron ore tailings (IOT), metakaolin (MK) and alkaline solution (composed by 1:3 ratio of sodium hydroxide (NaOH) and sodium silicate (Na2SiO3)). The second one is the evaluation of the effects in compressive strength when grinding the iron ore tailings for 1, 2 and 3 hours for producing the geopolymer. The best proportion consisted in 50% of iron ore tailings, 25% of metakaolin and 25% of a alkaline solution obtained an uniaxial compressive strength resistance of 23.5 MPa in 3 days. Also, the gain obtained with the ground tailings after 3 hours only occurs in the firsts days of cure, which does not justify grinding for this iron ore tailings due to the high cost of this operation. Tests with 1 and 2 hours of tailings grinding showed lower results of UCS when compared with IOT without milling, which is unexpected and needs further investigation to understand this behavior. One possible explanation is material agglomeration during the initial grinding times, and it is feasible that the clustering of particles limited the reaction. Finally, it appears that geopolymer mortars seem to be a viable alternative for the sustainable use of IOT in the state of Minas Gerais, in Brazil, since they present satisfactory results of compressive strength.
DOI: 10.17632/dy37h7fxzb.2
title: SPRING Mission Science Traceability Matrix (STM)

description: The Surface Probe Rover Investigating New Ground (SPRING) Science Traceability Matrix (STM) maps the relationship among NASA science goals, SPRING mission aims and mission instrument performance. NASA science goals, SPRING mission objectives, instrumentation and functional requirements are provided in a comprehensive table.
DOI: 10.17632/hmpd6yft5n.1
title: Cu-Ni-Co-Fe

description: Cu-Ni-Co-Fe ribbons for the paper in MSEB
DOI: 10.17632/wtbb5py458.3
title: Bayanno

description: This dataset is published for Bengali continuous speech recognition. The dataset has three files "Script Files" contain the Bengali text for continuous speech and "Speech Files" contain the recorded audio speech. "Speakers_information" CSV file has stored the speaker's information.
DOI: 10.17632/56nzwv9t4v.2
title: Data for: Neural network-based tectonic discrimination of basaltic rocks and an application on the Paleoproterozoic Xiong'er volcanic province in the North China Craton

description: The dataset used for model training (Appendix A), the discriminator (Appendix B) and the compiled geochemical data of the Xiong’er volcanic province (Appendix C)
DOI: 10.17632/9zdnh42xdx.2
title: Data for: 3674093

description: Indian Clinical Trials on COVID-19: A Review of Clinical Trials Registry of India (CTRI)
DOI: 10.17632/x2wp2rky3n.1
title: Zebrafish STING modelling

description: Evolutionary and Structural Modelling Analyses of the Stimulator of Interferon Genes Sequences Datasets
DOI: 10.17632/3kthhpw2pd.2
title: CSS: cluster similarity spectrum integration of single-cell genomics data

description: It is a major challenge to integrate single-cell sequencing data across experiments, conditions, batches, timepoints and other technical considerations. New computational methods are required that can integrate samples while simultaneously preserving biological information. Here, we propose an unsupervised reference-free data representation, Cluster Similarity Spectrum (CSS), where each cell is represented by its similarities to clusters independently identified across samples. We show that CSS can be used to assess cellular heterogeneity and enable reconstruction of differentiation trajectories from cerebral organoid and other single-cell transcriptomic data, and to integrate data across experimental conditions and human individuals. The presented data set here includes 1) the seurat object of the published two-month-old human cerebral organoid scRNA-seq data (Kanton et al. 2019 Nature); 2) the single-cell RNA-seq data of cerebral organoid generated by inDrop; 3) the newly generated single-cell RNA-seq data of cerebral organoids with and without fixation conditions.
DOI: 10.17632/yfx9h649wz.1
title: BookClub artistic makeup and occlusions face data

description: The novel BookClub artistic makeup data set contains images of 21 subjects. Each subject’s data may contain a photo-session series of photos with no-makeup, various makeup, and images with other obstacles for facial recognition, such as wigs, glasses, jewellery, face masks, or various types of headdress. Overall, the data set features 37 photo-sessions without makeup or occlusions, 40 makeup sessions, and 17 sessions with occlusions. Each photo-session contains circa 168 RAW images of up to 4288×2848 dimensions (available by request) of six basic emotional expressions (sadness, happiness, surprise, fear, anger, disgust), a neutral expression, and the closed eyes photo-shoots taken with seven head rotations at three exposure times on the off-white background. Default publicly available downloadable format is a JPEG of the 1072×712 resolution. The subjects’ age varies from their twenties to sixties. Race of the subjects is predominately Caucasian and some Asian. Gender is approximately evenly split between sessions. The photos were taken over the course of two months. A few sessions were done later, and some subjects posed at multiple sessions over several week intervals in various clothing with changed hairstyles. The motivation for the novel BookClub data set creation was an attempt to fill in the apparent gap in the makeup and occlusions data sets of high quality and resolution images featuring sophisticated original artistic makeup and non-trivial occlusions, made in the controlled environment with a wide variety of the represented emotions, orientations, lighting conditions per subject, for subjects representing age ranges, genders, and race. To emulate the real-life conditions, when makeup or other occlusions of the subjects may not be predicted and included into training sets beforehand, non-makeup and non-occlusion sessions were selected into the training set, which amounted to roughly 6200 images. Then, the facial recognition accuracy estimation was run with the same as above mentioned training parameters of AlexNet for each makeup and occlusion photo-session. While the majority of the sessions, were correctly identified, scoring high 93−100% accuracy, some sessions scored significantly lower accuracy in the 50−90% range, and some sessions were misidentified. Some sessions with especially high contrast, dark pigment makeup, or created by professional artists scored close to 0% accuracy. Even worse, someof the low accuracy makeup scored high guess scores for the wrong subject, it appears making accuracy &lt; 90% effectively unreliable by upper bound. Experiments on the novel BookClub data set of artistic makeup and occlusions have demonstrated that even contemporary state-of-the-art face recognition algorithms such as AlexNet (even retrained on a large amount of data) when meeting with real-life obstacles, perform poorly at the desired high confidence levels.
DOI: 10.17632/tdgghzw88n.1
title: POVERTY

description: All the data used for this analysis are shared here.
DOI: 10.17632/tg6k4k6dm2.4
title: Metro Traction Energy Consumption Data
DOI: 10.17632/tg6k4k6dm2.5
title: Metro Traction Energy Consumption Data
DOI: 10.17632/tg6k4k6dm2.6
title: Traction Energy Consumption Estimation for New Metro Lines Using Support Vector Regression: Datasets
DOI: 10.17632/tmrs92j7pv.24
title: COVID-19: Time Series Datasets India versus World

description: This dataset consists of COVID-19 time series data of India since 24th March 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : nicresearchgroup@gmail.com) for more details. . [Dataset is updated Twice a Week]
DOI: 10.17632/3kthhpw2pd.3
title: CSS: cluster similarity spectrum integration of single-cell genomics data

description: It is a major challenge to integrate single-cell sequencing data across experiments, conditions, batches, timepoints and other technical considerations. New computational methods are required that can integrate samples while simultaneously preserving biological information. Here, we propose an unsupervised reference-free data representation, Cluster Similarity Spectrum (CSS), where each cell is represented by its similarities to clusters independently identified across samples. We show that CSS can be used to assess cellular heterogeneity and enable reconstruction of differentiation trajectories from cerebral organoid and other single-cell transcriptomic data, and to integrate data across experimental conditions and human individuals. The presented data set here includes 1) the published two-month-old human cerebral organoid scRNA-seq data (Kanton et al. 2019 Nature); 2) the published time course human cerebral organoid development scRNA-seq data (Kanton et al. 2019 Nature); 3) the single-cell RNA-seq data of cerebral organoid generated by inDrop; 4) the newly generated single-cell RNA-seq data of cerebral organoids with and without fixation conditions; 5) example script to generate results reported in the manuscript
DOI: 10.17632/9zdh7xt3ks.3
title: BRS-D-20-00320

description: We measured the time courses of interhemispheric facilitation and inhibition with a conditioning-test paired-pulse magnetic stimulation paradigm in 12 subjects. There are four spread sheets in the excel file. The first sheet (subject) listed the information about the subjects we tested. The stimulus intensities used in the experiments were also listed. The second sheet (rough) listed the result of a time course tested with interstimulus interval set at 1 ms resolution. The other two sheets (facilitation precise and inhibition precise) showed the results testing interhemispheric facilitation and inhibition with interstimulus intervals set at 0.1 ms resolution.
DOI: 10.17632/d842smr4bc.1
title: Data for: Data on Vietnamese students' technology acceptance model in distance learning in COVID-19 pandemic

description: The data comprises two main parts. The first part is demographic information of respondents. The second part includes two major groups of variable, which is related to the adoption of Vietnamese students on the use of VCTs in distance learning during the COVID-19 pandemic: (1) External factors group, including Output quality (OQ), Computer playfulness (CP), and Subject norms (SN); and (2) TAM constructs group, including Perceived usefulness (PU), Perceived ease of use (PEU), Attitude toward to use (ATT), Behavioral intention to use (BI), and Actual system use (ASU).
DOI: 10.17632/hg6mpy7nd9.1
title: Data of Argyrophil Cells in the Digestive Tract of Two Urodele Amphibians

description: In order to explore the morphological characteristics, distribution position, and distribution density of argyrophil cells in the digestive tract of urodele amphibians in the Maoershan Nature Reserve, two urodelan species were selected: Hynobius maoershanensis and Pachytriton inexpectatus. Each part of the digestive tract was separated by anatomical means, and the experiment was performed using routine paraffin sectioning, Grimelius staining, block observation, photo counting, and other procedures. Sections were observed under an Olympus BX-63 automatic fluorescence microscope, and 5–6 fields of view were randomly taken from each section. A total of 20 fields of view were taken. The magnification was 400× (objective lens 40×, eyepiece 10×). The number of positive cells was counted, and the mean value was used (mean ± SD) to show the distribution density of the argyrophil cells. Before statistical analysis, a Kolmogorov-Smirnov test was performed on each group of experimental data,. Then, non-parametric tests were used to process the data. A Kruskal-Wallis test was used to examine the differences in the distribution density of argyrophils in different parts of the digestive tract of the same animal, and a Mann-Whitney U-test was used to examine the differences in the distribution density of argyrophils in the same part of the digestive tract of different animals. The significance level was set at 0.05 (two-sided). Data analysis and inspection were performed using Microsoft Excel 2010 and SPSS 24.0 statistical software.
DOI: 10.17632/mnstsv8385.1
title: dataset of RNAseq, proteomics, and ribosome footprint profiling of yeast OXPHOS mutants

description: This is a dataset of the transcriptional responses and the mitochondrial proteome changes of yeast OXPHOS mutants
DOI: 10.17632/s3jk88cz9n.1
title: Data for: Which States Most Effectively Discipline Attorneys? New Measures of State Corruption Within the United States

description: The American Bar Association’s annual Survey on Lawyer Discipline (SOLD) reports complaints and charges regarding lawyer misconduct, the caseload per disciplinary attorney, and each state’s budget for attorney discipline. We develop five measures of attorney discipline which are: 1. COMPLAINTS – the percent of attorneys in the state who receive complaints from the public 2. CHARGED – the percent of attorneys that are charged with some form of misconduct during the year 3. CHARGED/ COMPLAINTS – the percent of the attorneys receiving COMPLAINTS that are eventually CHARGED with malpractice 4. BUDGET (in dollars) – the state’s annual budget for implementing attorney discipline relative to the number of attorneys 5. CASELOAD – the number of AD cases per state disciplinary attorney per year In our study entitled 'Attorney Discipline, the Quality of Legal Systems and Economic Growth within the United States' we examine the relation between attorney discipline and state economic growth. Here, we include the panel dataset of the five attorney discipline measures used in that study 'Attorney Discipline Data 2000-2017'.
DOI: 10.17632/mvh47ppcxg.1
title: Long-term outcomes ypN0

description: A retrospective analysis of 195 rectal cancer patients without main pathological risk factors
DOI: 10.17632/ytzvkr2cfs.1
title: Data for: 3674527

description: This data set was wholly created by the author using public knowledge. The player salaries and tax rates used were obtained as of July 15, 2020. There is the assumption that no trades were made, a player's home residence is the same as the player's home stadium location, and no playoffs or schedule changes were made for 2019 or 2020.
DOI: 10.17632/skyg4f9fhv.2
title: MRR Analyses

description: These are the data used in a paper "A New Approach to Account for Vertical Air Speed in Zenith Radar Spectral Measurements in Rain"
DOI: 10.5519/qd.4dc8p3dn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4590462 records)
DOI: 10.17632/kpbc6mhwjt.1
title: MOD chamber HESS data

description: Data of Figures presented in "Mobile open dynamic chamber measurement of methane macroseeps in lakes"
DOI: 10.17632/6m3v4ksd7y.3
title: Dataset on eco-friendly cement production using iron ore tailings from Brazil and evaluation of grinding process on the synthesis of geopolymers

description: The use of iron ore tailings in Brazil is an important topic after two recent tragedies. The data were collected in order to understand the geomechanical feasibility of eco-friendly cements using iron ore tailings and evaluate the impact of the grinding process on the compressive strength of geopolymers. The data are based on two major studies using the same methodology. The first one is the examination of the material best composition in terms of uniaxial compression resistance by varying its proportions of iron ore tailings (IOT), metakaolin (MK) and alkaline solution (composed by 1:3 ratio of sodium hydroxide (NaOH) and sodium silicate (Na2SiO3)). The second one is the evaluation of the effects in compressive strength when grinding the iron ore tailings for 1, 2 and 3 hours for producing the geopolymer. The best proportion consisted in 50% of iron ore tailings, 25% of metakaolin and 25% of a alkaline solution obtained an uniaxial compressive strength resistance of 23.5 MPa in 3 days. Also, the gain obtained with the ground tailings after 3 hours only occurs in the firsts days of cure, which does not justify grinding for this iron ore tailings due to the high cost of this operation. Tests with 1 and 2 hours of tailings grinding showed lower results of UCS when compared with IOT without milling, which is unexpected and needs further investigation to understand this behavior. One possible explanation is material agglomeration during the initial grinding times, and it is feasible that the clustering of particles limited the reaction. Finally, it appears that geopolymer mortars seem to be a viable alternative for the sustainable use of IOT in the state of Minas Gerais, in Brazil, since they present satisfactory results of compressive strength.
DOI: 10.17632/m7rdpx5b3z.7
title: Data for: A possible slowing in oceans’ uptake of anthropogenic CO2 since around 2000s: New insights from carbon isotopes in coral skeletons

description: The dataset includes all data for "A possible slowing in oceans’ uptake of anthropogenic CO2 since around 2000s: New insights from carbon isotopes in coral skeletons" by Liu et al..