cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13364369
title: Additional file 1 of PyClone-VI: scalable inference of clonal population structures using whole genome data

description: Additional file 1. Table S1: Performance results for the comparison of PyClone and PyClone-VI using synthetic data used in Fig. 1. Table S2: Performance results for the comparison of PyClone and PyClone-VI using synthetic data used in Additional file 2. Table S3: Performance results for the comparison of PyClone and PyClone-VI using synthetic data used in Additional file 3. Table S4: Performance results for the comparison of PyClone and PyClone-VI using synthetic data used in Additional file 4. Table S5: Summary statistics for datasets used in Fig. 2. Table S6: Performance results for the analysis of DREAM SMC-HET data used in Fig. 2. Table S7: Friedman test results for comparing methods using the DREAM SMC-HET data. Table S8: Post-hoc Nemenyi test for comparing methods using the DREAM SMC-HET data. Table S9: Results from the PCAWG data analysis used in Fig. 3. Table S10: Predicted run time to analyze PCAWG data for programs used in DREAM analysis. Table S11: Results from the TRACERx data analysis used in Fig. 4.
DOI: 10.6084/m9.figshare.13364367
title: Additional file 2 of Predicting hospitalization following psychiatric crisis care using machine learning

description: Additional file 2. Variable importance data separately for each model.
DOI: 10.6084/m9.figshare.13364369.v1
title: Additional file 1 of PyClone-VI: scalable inference of clonal population structures using whole genome data

description: Additional file 1. Table S1: Performance results for the comparison of PyClone and PyClone-VI using synthetic data used in Fig. 1. Table S2: Performance results for the comparison of PyClone and PyClone-VI using synthetic data used in Additional file 2. Table S3: Performance results for the comparison of PyClone and PyClone-VI using synthetic data used in Additional file 3. Table S4: Performance results for the comparison of PyClone and PyClone-VI using synthetic data used in Additional file 4. Table S5: Summary statistics for datasets used in Fig. 2. Table S6: Performance results for the analysis of DREAM SMC-HET data used in Fig. 2. Table S7: Friedman test results for comparing methods using the DREAM SMC-HET data. Table S8: Post-hoc Nemenyi test for comparing methods using the DREAM SMC-HET data. Table S9: Results from the PCAWG data analysis used in Fig. 3. Table S10: Predicted run time to analyze PCAWG data for programs used in DREAM analysis. Table S11: Results from the TRACERx data analysis used in Fig. 4.
DOI: 10.6084/m9.figshare.13364547.v1
title: Additional file 7 of Estrogen-related receptor alpha directly binds to p53 and cooperatively controls colon cancer growth through the regulation of mitochondrial biogenesis and function

description: Additional file 7: Table S1. List of proteins identified through mass spectrometry-based proteomics. All experiments were conducted using HCT-116p53+/+ and HCT-116p53-/- cells treated with XCT790 (15 μM) or vehicle (DMSO).
DOI: 10.6084/m9.figshare.13364547
title: Additional file 7 of Estrogen-related receptor alpha directly binds to p53 and cooperatively controls colon cancer growth through the regulation of mitochondrial biogenesis and function

description: Additional file 7: Table S1. List of proteins identified through mass spectrometry-based proteomics. All experiments were conducted using HCT-116p53+/+ and HCT-116p53-/- cells treated with XCT790 (15 μM) or vehicle (DMSO).
DOI: 10.6084/m9.figshare.13364567
title: Additional file 5 of Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches

description: Additional file 5. Full data results. Table containing all finidings when the HCLST-CORR-SGL method was applied to the full PA PCa dataset (binary outcome: diagnosis with aggressive PCa).
DOI: 10.6084/m9.figshare.13364561
title: Additional file 3 of Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches

description: Additional file 3. Detection rates for each variable. Table showing the proportion of simulations where each varaible was selected (by each method).
DOI: 10.6084/m9.figshare.13364567.v1
title: Additional file 5 of Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches

description: Additional file 5. Full data results. Table containing all finidings when the HCLST-CORR-SGL method was applied to the full PA PCa dataset (binary outcome: diagnosis with aggressive PCa).
DOI: 10.6084/m9.figshare.13364561.v1
title: Additional file 3 of Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches

description: Additional file 3. Detection rates for each variable. Table showing the proportion of simulations where each varaible was selected (by each method).
DOI: 10.6084/m9.figshare.13364580
title: Additional file 3 of Glucose-lactose mixture feeds in industry-like conditions: a gene regulatory network analysis on the hyperproducing Trichoderma reesei strain Rut-C30

description: Additional file 3 List of mutated and/or differentially expressed genes. This Excel file contains two sheets. In the first one, we found the list of differentially expressed genes and contains information regarding gene name, gene function, orthologs in various species (S. cerevisiae, A. nidulans and N. crassa), whether the gene is a transcription factor, expression ratios and the label of the cluster to which it belongs. In the second sheet, there is the list of mutated genes in Rut-C30, by comparison to QM6a, and the ones which are identified to be differentially expressed in our conditions.
DOI: 10.6084/m9.figshare.13364583.v1
title: Additional file 4 of Glucose-lactose mixture feeds in industry-like conditions: a gene regulatory network analysis on the hyperproducing Trichoderma reesei strain Rut-C30

description: Additional file 4 Promoter analysis of clr2. This Excel file contains three sheets. The first one gathers results regarding the promoter analysis of clr2 based on results obtained in the sub-network SubN1 generated by BRANE Cut [40]. The second sheet displays the pattern feature map while the third one contains the statistical analysis regarding the discovered promoter sequence.
DOI: 10.6084/m9.figshare.13364580.v1
title: Additional file 3 of Glucose-lactose mixture feeds in industry-like conditions: a gene regulatory network analysis on the hyperproducing Trichoderma reesei strain Rut-C30

description: Additional file 3 List of mutated and/or differentially expressed genes. This Excel file contains two sheets. In the first one, we found the list of differentially expressed genes and contains information regarding gene name, gene function, orthologs in various species (S. cerevisiae, A. nidulans and N. crassa), whether the gene is a transcription factor, expression ratios and the label of the cluster to which it belongs. In the second sheet, there is the list of mutated genes in Rut-C30, by comparison to QM6a, and the ones which are identified to be differentially expressed in our conditions.
DOI: 10.6084/m9.figshare.13364583
title: Additional file 4 of Glucose-lactose mixture feeds in industry-like conditions: a gene regulatory network analysis on the hyperproducing Trichoderma reesei strain Rut-C30

description: Additional file 4 Promoter analysis of clr2. This Excel file contains three sheets. The first one gathers results regarding the promoter analysis of clr2 based on results obtained in the sub-network SubN1 generated by BRANE Cut [40]. The second sheet displays the pattern feature map while the third one contains the statistical analysis regarding the discovered promoter sequence.
DOI: 10.25952/5fd2f98de1dc2
title: A Meta-Analytic Investigation of the Impact of Curiosity-Enhancing Interventions

description: This is the data file for a meta-analysis. The meta-analysis consolidated the effects of curiosity enhancing interventions. Across 41 randomized controlled trials, with a total of 4,496 participants, interventions significantly increased curiosity. The weighted effect size was Hedges' g =.57 [95% CIs 0.44, 0.70]. The studies included in the meta-analysis used a variety of principles to stimulate curiosity and were conducted with participants in various age groups. The studies used various measures of creativity and measured effects over different time periods. Because higher levels of curiosity tend to be associated with various beneficial outcomes, the finding that across studies interventions are effective in increasing curiosity holds promise for future efforts to increase curiosity to bring about additional benefits.
DOI: 10.7910/dvn/fqml43
title: Executive Agreements Database, Statement Regarding the Agreement with Qatar to Improve International Tax Compliance and to Implement FATCA, with Annexes. Signed at Doha January 7, 2015. Entered into force June 23, 2015.

description: TIAS 15-623 First signed 01/07/2015 Last signed 01/07/2015 Entry into force (supplemented by last signed) 6/23/2015 C06543133 cover memo
DOI: 10.25952/5fd2fa542f5c3
title: The Association Between Gratitude and Depression: A Meta-Analysis

description: This is the meta-analysis data set for the following manuscript: This meta-analysis evaluated the association between gratitude and depression. The study synthesized the association in 70 reported effect sizes from 62 published and unpublished articles, involving a total of 26,427 child, adolescent, and adult participants. The studies were completed by different research teams, using different samples, different measures, and various correlational research designs. The results showed a significant association between gratitude and depression, r = -.39 [95% confidence intervals - .44, - .34], indicating that individuals who experience more gratitude have lower levels of depression. The results did not vary significantly with the measure of gratitude or depression used, whether the study was longitudinal or cross-sectional, the age of participants or the percentage of female participants, suggesting a robust connection between higher levels of gratitude with lower levels of depression. The findings provide a reason to explore the effects of gratitude-focused interventions as a method to alleviate depression and to prevent the development of depression.
DOI: 10.25919/nqdc-1v40
title: AusTEN National Tidal model data

description: The collection includes output from an Australian national implementation of CSIRO's un-structured COMPAS hydrodynamic model to assess the Australian national tidal energy resource. The CSIRO COMPAS model was run in 2-D (depth-averaged) mode on an unstructured grid having 183810 cells covering much of Australia's continental shelf and margin. Cell resolution is weighted, with higher resolution in regions with high tidal velocity and nearer to the coast, and is as fine as 500m in places, allowing the near-coastal flows to be simulated, but not the details of individual ports or narrow passages. The model was nested within the Oregon State University Tidal Prediction System (OTPS) 1/6degree global tidal model tpxo9v1 produced by Erofeeva et al (2002). During a calibration/validation phase, the model was run for 15 days using a variety of parameters and evaluated against a database of 683 sea level sites and 95 current velocity sites. The collection includes three files: COMPAS_out66_AUSTEn.nc - includes hourly output of surface elevation (eta) and depth-averaged velocity components (uav, vav) on the unstructured mesh for the period of the simulation. This is 59 days 25/2/2017-24/4/2017. CSIRO_tidal_const_v10_beta.nc - includes elevation and velocity tidal constituents for 11 constituents (Q1, O1, K1, 2N2, N2, M2, S2, M4, MS4, M6, 2MS6), as derived using the t_tide package in MATLAB (Pawlowicz, 2002). This is derived from 222 days 25/2/2017 to 25/10/2017. Aust_current_meter_tidal_cnstits_v1.nc has tidal constituents of the depth-averaged current velocity observed at 95 locations around Australia. It was used for evaluating the barotropic tidal model of Griffin, Herzfeld and Hemer (2020). See also CSIRO_tidal_const_v9.nc. This dataset is not certified as being fit for navigation purposes. Anyone using it for navigation purposes does so entirely at their own risk. The data set has known as well as unknown errors, largely due to idealizations embodied in the model configuration. Factors limiting model accuracy include the spatial resolution, lack of stratification, bathymetry errors, simple parameterization of bottom friction, absence of within-domain tidal body forcing and lack of non-linear interactions with non-tidal flows.
DOI: 10.25345/c53v2t
title: MassIVE MSV000086576 - Characterization of core fucosylation via sequential treatment of intact glycopeptides with enzymes and mass spectrometry
title: We present a mass spectrometry-based glycoproteomics method that employs sequential treatment of intact glycopeptides with enzymes (STAGE) to simultaneously analyze site-specific core fucosylation and N-linked glycosylation of glycoproteins.
DOI: 10.5517/ccdc.csd.cc21l6wr
title: CCDC 1894344: Experimental Crystal Structure Determination

description: Related Article: Jia-Qi Niu, Qing Zhao, Xing Xin, Ya-Qi Zhang, Na Hu, Yuan-Yuan Ma, Zhan-Gang Han|2020|J.Coord.Chem.|73|2391|doi:10.1080/00958972.2020.1802650
DOI: 10.5517/ccdc.csd.cc21l6xs
title: CCDC 1894345: Experimental Crystal Structure Determination

description: Related Article: Jia-Qi Niu, Qing Zhao, Xing Xin, Ya-Qi Zhang, Na Hu, Yuan-Yuan Ma, Zhan-Gang Han|2020|J.Coord.Chem.|73|2391|doi:10.1080/00958972.2020.1802650
DOI: 10.5517/ccdc.csd.cc21l6yt
title: CCDC 1894346: Experimental Crystal Structure Determination

description: Related Article: Jia-Qi Niu, Qing Zhao, Xing Xin, Ya-Qi Zhang, Na Hu, Yuan-Yuan Ma, Zhan-Gang Han|2020|J.Coord.Chem.|73|2391|doi:10.1080/00958972.2020.1802650
DOI: 10.5517/ccdc.csd.cc257f2y
title: CCDC 2003129: Experimental Crystal Structure Determination

description: Related Article: Meng-Xuan Li, Yang Zhang, Zai-Ming Zhu, Fang Su, Lan-Cui Zhang, Xiao-Jing Sang|2020|J.Coord.Chem.|73|2437|doi:10.1080/00958972.2020.1811857
DOI: 10.5281/zenodo.4316222
title: Effects of ion slippage in Earth's ionosphere and the plasma sheet

description: Ion_slippage_movie.avi shows the ion slippage evolvement after 1h growthphase, with time resolution of 20s. The text files are RCM-I simulation output. The file names specify simulation time (format: hhmmss). The stored quantities are, "I","J","COLAT","ALOCT","BNDLOC","XMIN","YMIN","FTV","BMIN","V", "BIRK_fromV(NH)","BIRK","PEDLAM", "PEDPSI", "HALL", "EFLUX", "EAVG", "eeta_k10""P(RCM),nPa", "PV_gamma","RCM_T_p","RCM_T_e","RCM_N_p","RCM_N_e","Vx_exb","Vy_exb","Vtotx","Vtoty","vel_x","Ey","f_i_005","f_i_010","f_i_020","f_i_040","f_i_060".
DOI: 10.5281/zenodo.4316221
title: Effects of ion slippage in Earth's ionosphere and the plasma sheet

description: Ion_slippage_movie.avi shows the ion slippage evolvement after 1h growthphase, with time resolution of 20s. The text files are RCM-I simulation output. The file names specify simulation time (format: hhmmss). The stored quantities are, "I","J","COLAT","ALOCT","BNDLOC","XMIN","YMIN","FTV","BMIN","V", "BIRK_fromV(NH)","BIRK","PEDLAM", "PEDPSI", "HALL", "EFLUX", "EAVG", "eeta_k10""P(RCM),nPa", "PV_gamma","RCM_T_p","RCM_T_e","RCM_N_p","RCM_N_e","Vx_exb","Vy_exb","Vtotx","Vtoty","vel_x","Ey","f_i_005","f_i_010","f_i_020","f_i_040","f_i_060".
DOI: 10.6084/m9.figshare.13365137
title: 新冠疫情期间电商订单数据综合分析

description: 新冠疫情期间电商订单数据综合分析
DOI: 10.6084/m9.figshare.13365146
title: Supplementary Material for: Age-Related Association of Calcitonin with Parameters of Anthropometry, Bone and Calcium Metabolism during Childhood

description: <b><i>Introduction:</i></b> The thyroid parafollicular hormone calcitonin (CT) shows particularly high blood levels in early childhood, a period of high bone turnover, which decrease with increasing age. Data about the physiological role of CT during infancy, childhood, and adolescence are contradictory or lacking. <b><i>Objective:</i></b> We hypothesize that CT demonstrates age-related correlations with parameters of bone growth and turnover as well as with parameters of calcium homeostasis. <b><i>Methods:</i></b> 5,410 measurements of anthropometric data and venous blood samples were collected from 2,636 participants of the LIFE Child study, aged 2 months–18 years. Univariate correlations and multiple regression analysis were performed between serum CT and anthropometric indicators (height standard deviation scores [SDS] and BMI-SDS), markers of calcium (Ca) homeostasis (Ca, parathyroid hormone, 25-OH vitamin D, and phosphate [P]), bone formation (procollagen type 1 N-terminal propeptide [P1NP], osteocalcin), and bone resorption (β-CrossLaps). <b><i>Results:</i></b> CT was significantly associated with Ca (β = 0.26, <i>p</i> &lt; 0.05) and P1NP/100 (β = 0.005, <i>p</i> &lt; 0.05) in children aged 2 months–1.1 years. These relations were independent of age and sex and could not be confirmed in children aged 1.1–8 years. Independent of age, sex, puberty, P, and height SDS CT showed a significant positive relation to Ca (β = 0.26; <i>p</i> &lt; 0.001) in children aged 8–18 years. <b><i>Conclusions:</i></b> Our findings suggest a unique association between CT and Ca in periods of rapid bone growth and point to a possible involvement of CT in promoting bone formation during the first year of life.
DOI: 10.6084/m9.figshare.13365140.v1
title: Supplementary Material for: Language Impairment with a Partial Duplication of <b><i>DOCK8</i></b>

description: Duplications of the distal region of the short arm of chromosome 9 are rare, but are associated with learning disabilities and behavioral disturbances. We report in detail the cognitive and language features of a child with a duplication in the 9p24.3 region, arr[hg19] 9p24.3(266,045–459,076)×3. The proband exhibits marked expressive and receptive problems, which affect both structural and functional aspects of language. These problems might result from a severe underlying deficit in working memory. Regarding the molecular causes of the observed symptoms, they might result from the altered expression of selected genes involved in procedural learning, particularly some of components of the SLIT/ROBO/FOXP2 network, strongly related to the development and evolution of language. Dysregulation of specific components of this network can result in turn from an altered interaction between DOCK8, affected by the microduplication, and CDC42, acting as the hub component of the network encompassing language-related genes.
DOI: 10.5281/zenodo.4316338
title: Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning

description: These are the data files for use with the codes in https://github.com/envfluids/Burgers_DDP_and_TL.
DOI: 10.5281/zenodo.4316337
title: Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning

description: These are the data files for use with the codes in https://github.com/envfluids/Burgers_DDP_and_TL.
DOI: 10.6084/m9.figshare.13363631
title: Supplementary Material for: Psychogenic Seizure Imitating Narcolepsy

description: Psychogenic or functional neurological disorders (FND) often occur in the practice of a neurologist. Diagnosis of FND usually causes significant difficulties. Among FND, psychogenic non-epileptic seizures (PNES) comprise around 40% cases. Sometimes it is necessary to differentiate PNES from narcolepsy. We describe a 55-year-old man with frequent brief and sudden sleep-like attacks in combination with nocturnal sleep disturbance. During attacks he was unresponsive, snoring but maintained posture. He resisted passive eye opening but with rolling eyes. The patient was confused on waking. In the interictal period, there were FND signs including give-way weakness of the left hand, typical functional “leg-dragging” gait, mistake in the finger-to-nose test. Video-electroencephalogram monitoring did not detect specific epileptic activity or sleep pattern during the attacks. Polysomnography showed multiple waking episodes during the night, but no typical pattern of narcolepsy was found in the multiple sleep latency test. The patient had frequent urgent hospitalizations due to different diseases and numerous invasive procedures. Six month later, the patient obtained state related disability financial benefit, after which hospitalizations in various hospitals continued, and PNES became shorter and less pronounced.
DOI: 10.6084/m9.figshare.13359431
title: figure

description: Effect of exercise on antioxidant levels
DOI: 10.6084/m9.figshare.13359431.v1
title: figure

description: Effect of exercise on antioxidant levels
DOI: 10.5519/qd.xwz7jih8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4316018
title: X-ray CT data for WD and WZX during the process of spontaneous imbibition

description: Before spontaneous imbibition, X-ray μ-CT measurement at dry condition was firstly carried out to require the base information of CT intensity. Subsequently, imbibition liquid was injected into the acrylic plastic tube to fill up to the bottom surface of the coal plug (co-current imbibition). The imbibition fluid was removed after 15 minutes of spontaneous imbibition and prepare for CT scanning. Finally, repeating the above steps completes two samples under the same condition for 60 min, 120 min, 240 min, 600 min, 1440 min successively.Due to the large size of original 3-D reconstruction data (1920×1920×3620 for sampled WD and 1920×1920×4647 for sample WZX), the image was cropped into 600×600×2350 of sample WD and 600×600×3400 of sample WZX for subsequent analysis.
DOI: 10.5281/zenodo.4316017
title: X-ray CT data for WD and WZX during the process of spontaneous imbibition

description: Before spontaneous imbibition, X-ray μ-CT measurement at dry condition was firstly carried out to require the base information of CT intensity. Subsequently, imbibition liquid was injected into the acrylic plastic tube to fill up to the bottom surface of the coal plug (co-current imbibition). The imbibition fluid was removed after 15 minutes of spontaneous imbibition and prepare for CT scanning. Finally, repeating the above steps completes two samples under the same condition for 60 min, 120 min, 240 min, 600 min, 1440 min successively.Due to the large size of original 3-D reconstruction data (1920×1920×3620 for sampled WD and 1920×1920×4647 for sample WZX), the image was cropped into 600×600×2350 of sample WD and 600×600×3400 of sample WZX for subsequent analysis.
DOI: 10.17632/ptvv28k2ky.1
title: Data for: Oil price shocks, exchange rate and macroeconomic fluctuations in a small oil-exporting economy: Evidence from Azerbaijan