cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7686ww5z33.2
title: Longitudinal multi-omics analyses identify responses of megakaryocytes, erythroid cells and plasmablasts as hallmarks of severe COVID-19 trajectories . Bernardes et al

description: Supplemental Tables for publication Longitudinal multi-omics analysis identifies responses of megakaryocytes, erythroid cells and plasmablasts as hallmarks of severe COVID-19 trajectories Joana P. Bernardes+, Neha Mishra+, Florian Tran+, Thomas Bahmer, Lena Best, Johanna I. Blase, Dora Bordoni, Jeanette Franzenburg, Ulf Geisen, Jonathan Josephs-Spaulding, Philipp Köhler, Axel Künstner, Elisa Rosati, Anna C. Aschenbrenner, Petra Bacher, Nathan Baran, Teide Boysen, Burkhard Brandt, Niklas Bruse, Jonathan Dörr, Andreas Dräger, Gunnar Elke, David Ellinghaus, Julia Fischer, Michael Forster, Andre Franke, Sören Franzenburg, Norbert Frey, Anette Friedrichs, Janina Fuß, Andreas Glück, Jacob Hamm, Finn Hinrichsen, Marc P. Hoeppner, Simon Imm, Ralf Junker, Sina Kaiser, Ying H. Kan, Rainer Knoll, Christoph Lange, Georg Laue, Clemens Lier, Matthias Lindner, Georgios Marinos, Robert Markewitz, Jacob Nattermann, Rainer Noth, Peter Pickkers, Klaus F. Rabe, Alina Renz, Christoph Röcken, Jan Rupp, Annika Schaffarzyk, Alexander Scheffold, Jonas Schulte-Schrepping, Domagoj Schunck, Dirk Skowasch, Thomas Ulas, Klaus-Peter Wandinger, Michael Wittig, Johannes Zimmermann, Hauke Busch*, Bimba F. Hoyer*, Christoph Kaleta*, Jan Heyckendorf*, Matthijs Kox*, Jan Rybniker*, Stefan Schreiber*, Joachim Schultze*, Philip Rosenstiel*, HCA Lung Biological Network and the Deutsche COVID-19 Omics Initiative (DeCOI) + Equal contribution first authors * Senior authors Table S1. Detailed clinical characteristics of the patients included in cohort1 (related to Figure 1) Table S3. List of genes assigned to each co-expression module (related to figure 4)
DOI: 10.17632/svy6mdh62t.1
title: Open Digital Badges

description: Open Digital Badges
DOI: 10.17632/wm6c5wzs4c.2
title: Dataset of "Extended field-of-view ultrathin microendoscopes for high-resolution two-photon imaging with minimal invasiveness"

description: Dataset_1 Data from functional imaging in the VPM using type II eFOV-microendoscopes before and after the removal of the corrective microlens in awake head-restrained mice. - dataset1_description.csv: description of the t-series containing the mouse ID, the type of lens used and the imaging parameters. - TS####.mat: mat-file containing a structure with imaging data - data.A is a num_pixels*num_ROIs array containing the spatial footprints of the ROIs. Each column corresponds to a single ROI and contains positive values for pixels belonging to the corresponding ROI. - data.F_raw is a num_ROIs*num_frames array containing the raw fluorescence activity of the ROIs. Each row corresponds to a single ROI. - data.C_d is a num_ROIs*num_frames array containing the normalized DF_F activity of the ROIs. Each row corresponds to a single ROI. Dataset _2: Data from functional imaging in the VPM using type II eFOV-microendoscopes with the corrective microlens in awake head-restrained mice. Brief dataset description: - TSeries-########-####-####_Mouse_####.mat: mat-file containing a structure with imaging data - data.A is a num_pixels*num_ROIs array containing the spatial footprints of the ROIs. Each column corresponds to a single ROI and contains positive values for pixels belonging to the corresponding ROI. - data.F_raw is a num_ROIs*num_frames array containing the raw fluorescence activity of the ROIs. Each row corresponds to a single ROI. - data.C_d is a num_ROIs*num_frames array containing the normalized DF_F activity of the ROIs. Each row corresponds to a single ROI. Dataset_3: Auxiliary data to generate synthetic t-series. For a complete description of their use, see https://github.com/moni90/eFOV_microendoscopes_sim Dataset_4 Zemax files for optical simulations. The Zemax data related to the GRIN rods are provided by GRINTECH and are based on refractive index profiles of standard GRINTECH’s 0.25 pitch rod lenses, which are optimized for optimum on-axis spherical aberration. Dataset_5 z-stacks of PSF measurements. Dataset_6 Confocal images of labeling of cortico-thalamic and thalamo-cortical connectivity.
DOI: 10.17632/bz8bjdg4f5.2
title: My meat does not have feathers: Consumers’ associations with pictures of different chicken breeds
DOI: 10.17632/5x9m53xgsy.2
title: Spatial Changes of Late Quaternary Slip Rates along the Gyaring Co Fault: Implications for Strain Partitioning and Deformation Modes in Central Tibet

description: Author: Wang Duo, Hong Chang, Gongming Yin, Fei Han, Zebin Mao, Jinhua Du Wenjun Zheng and Xulong Wang Corresponding author: Xulong Wang (wxl@loess.llqg.ac.cn) Contents of this file Text S1 Figures S1 to S3 Introduction The supporting information including sampling, pretreatments, and all details of Optically Stimulated Luminescence (OSL) dating. One text for OSL dating method and three figures for OSL growth curves, natural decay curves and regenerative dose curves, De distributions of frequency and probability at Kong co, Aruo and Nacha site. Text S1 shows detailed OSL dating processing and analysis procedures. Figure S1 shows OSL dating details at Kong Co site. Figure S2 shows OSL dating details at Aruo site. Figure S3 shows OSL dating details at Nacha site.
DOI: 10.17632/459f33wxf6.1
title: PEN-Method: Predictor model and Validation Data

description: This Data contains the PEN-Predictor-Keras-Model as well as the 100 validation data sets.
DOI: 10.17632/4kmw8bkj6t.1
title: Script and data for "Scaling of Eliassen-Palm Flux Vectors" by Martin Jucker, Atmospheric Science Letters (2021)

description: Python script and ERA5 data used to produce Figure 2 of Jucker, M. "Scaling of Eliassen-Palm Flux Vectors", Atmos. Sci. Lett. (2021).
DOI: 10.17632/769vjryxww.2
title: Original data of "HDAC6 binds to and inactivates Runx2 promoter to block osteogenesis of bone marrow stromal cells of mice with age-related bone loss"

description: Original data of "HDAC6 binds to and inactivates Runx2 promoter to block osteogenesis of bone marrow stromal cells of mice with age-related bone loss"
DOI: 10.17632/xxdf9whzy4.1
title: ReplenishmentProblemWithMultipleArticlesAndAnOrderThreshold

description: These are the raw data sets used in the computational study in "The replenishment problem with multiple articles and an order threshold" by Dirk Briskorn and Thomas Wensing
DOI: 10.17632/3y3n7n25v4.1
title: Highly Surface-Wrinkled and N-Doped CNTs Anchored on Metal Wire: A Novel Fiber-Shaped Cathode toward High-Performance Flexible Li–CO2 Batteries

description: Original data for this paper
DOI: 10.17632/fjt98ptgmb.1
title: TWS Data used for the SCVCM evaluation

description: 1. The folder GRACE contains the monthly GRACE TWS data (RL06 V1.0) from the JPL mascon solution (also available from https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/) and the calculated monthly TWSA. 2. The folder EALCO contains the daily absolute TWS data for Canada (outputs from EALCO), the calculated baseline, the calculated monthly TWSA and the calculated scale gain factors etc. 3. The folder GMWSK contains the processed GMW observations from the selected 42 GMWs in the province of Saskatchewan, Canada. The raw GMW observations are available from https://ggmn.un-igrac.org.
DOI: 10.17632/7p4j7mgs88.1
title: A Quasi-Solid-State Flexible Fiber-Shaped Li–CO2 Battery with Low Overpotential and High Energy Efficiency

description: Original data for this paper.
DOI: 10.17632/mmgtpmmfgw.1
title: St. Mary River drainage (Montana) bull trout data and more

description: These are tag-recapture/encounter-history data from the ongoing investigation "Quantitative assessment of the two-decade time series of demographic and mark-recapture data for the key populations of a “threatened” bull trout metapopulation in the St. Mary River drainage, Montana, USA." The bull trout age data are those used in both Mogen, J.T. & Kaeding, L.R. (2005a). Identification and characterization of migratory and non-migratory bull trout populations in tributaries of the St. Mary River, Montana. Transactions of the American Fisheries Society, 134, 841–852. and Kaeding, L.R., and J.T. Mogen. 2020. Quantification and characterization of bull trout annually entrained in the major irrigation canal on the St. Mary River, Montana, United States, and identification of operations changes that would reduce that loss. River Research and Applications 36:1366–1372.
DOI: 10.17632/sckwd9jgnc.2
title: A surge of DNA damage links transcriptional reprogramming and hematopoietic deficit in Fanconi anemia

description: Impaired DNA crosslink repair leads to Fanconi anemia (FA), characterized by a unique manifestation of bone marrow failure and pancytopenia among diseases caused by DNA damage response defects. As a recessive germline disorder, why the hematopoietic hierarchy is specifically affected is not fully understood. We find that reprogramming transcription during hematopoietic differentiation results in an overload of genotoxic stress, which causes aborted differentiation and depletion of FA mutant progenitor cells. The onset of DNA damage most likely arises from formaldehyde, an obligate by-product of oxidative protein demethylation during transcription regulation. Our results demonstrate that rapid and extensive transcription reprogramming associated with hematopoietic differentiation poses a major threat to genome stability and cell viability in the absence of the FA pathway. The connection between differentiation and DNA damage accumulation reveals a novel mechanism of genome scarring and is critical to exploring therapies to counteract the aplastic anemia for the treatment of FA patients.
DOI: 10.6084/m9.figshare.12120927
title: foraging trip duration data.csv

description: <b>Foraging trip duration of honeybee increases during a poor air quality episode and it persists thereafter</b>
DOI: 10.6084/m9.figshare.12120927.v2
title: foraging trip duration data.csv

description: <b>Foraging trip duration of honeybee increases during a poor air quality episode and it persists thereafter</b>
DOI: 10.6084/m9.figshare.12120927.v1
title: foraging trip duration data.csv

description: <b>Foraging trip duration of honeybee increases during a poor air quality episode and it persists thereafter</b>
DOI: 10.17632/yvnfxxsw3f.2
title: NRM demagnetization steps

description: Magnetostratigraphy
DOI: 10.17632/68w8pcmcbb.2
title: Stan badań nad współczesnymi stosunkami polsko-rosyjskimi
DOI: 10.17632/9x27fk49nm.1
title: Transcriptome Data for dRTEL1 testes with dRTEL1-GFP

description: Total RNA was extracted using TRIzol reagent following the manufacturer’s instructions. 40 pairs of w1118 or dRTEL1 or dRTEL1; dRTEL1-GFP early L3 (60-72hr) stage testes were dissected in Schneider's medium (Invitrogen) and used as one set of data respectively. For RNA-Seq, each genotype was sequenced with two replicates. The integrity of RNA was confirmed by gel electrophoresis. Subsequent mRNA purification, library construction, sequencing and data analysis were performed by BGI (Beijing Genomics Institute, Shenzhen, Guangdong, China). In brief, TruSeq RNA V2/Illumina kit was used to generate the Illumina cDNA libraries. Libraries were sequenced with Illumina HiSeq 2500. Raw sequencing reads were cleaned by removing adaptor sequences, reads containing polyN sequences, and low-quality reads. The Drosophila genome (dm6, FlyBase 6.05) was used to align and filter reads.
DOI: 10.17632/nfgb92wh72.1
title: IRS Non Profit Financial Data and Political Partisanship

description: We classified the political ideology of all non-profits in the public IRS 990 Form dataset by using a Bayesian classification of their self-reported mission statements, using a classifier trained on the political speeches of members of Congress.
DOI: 10.17632/s9bw7c4mgk.1
title: Original data of "HDAC6 binds to and inactivates Runx2 promoter to block osteogenesis of bone marrow stromal cells of mice with age-related bone loss"

description: Original data of "HDAC6 binds to and inactivates Runx2 promoter to block osteogenesis of bone marrow stromal cells of mice with age-related bone loss"
DOI: 10.17632/wth6y9w9rr.1
title: Dataset supporting corruption in the procurement of electronic ID cards 2011-2012

description: Supporting data in corruption in the procurement of electronic identity cards for 2011-2012 is data used to understand the mode of corruption that occurred in 2011-2012. Overall data is presented systematically to see the mode of corruption that occurs, from the budget planning stage to the handover stage of work that involves many stakeholders.
DOI: 10.17632/xnvf7gb66r.1
title: HPLC-MS Data of Madder and Cochineal Pigments
DOI: 10.17632/37bn8mpdpx.1
title: Data on corruption cases based on general mode

description: The purpose of procuring government goods and services electronically is to improve governance that has not been fully implemented, since 2004 ministries/institutions/regional work units/agencies that have stumbled on corruption cases handled by the Indonesian Corruption Eradication Commission until 2019 as many as 205 cases of Corruption Crime. The total percentage up to 2019 reached 20,34% which is directly handled by the Indonesian Corruption Eradication Commission. The application of e-Procurement from 2004 to 2019 did not show any indication of a decline in the trend in case handling caused by the types of cases of government procurement of goods and services. The criminal acts of corruption that occurred in the 2004-2019 period with the types of cases of procurement of goods and services in general have caused significant losses to the state. The significant state losses are what make the types of cases of procurement of goods and services increasingly attract public attention.
DOI: 10.17632/p4cnd87hxh.3
title: QLQ-C30 -QLQ-BR23 Universidad del Valle

description: 80 answers to the QLQ-C30 and QLQ-BR- 23 questionnaire. Some sociodemographic variables were considered, the research team is estimating which variables affect the quality of life by means of Bayesian models and structural equations.
DOI: 10.17632/g4tz8m5p6k.1
title: Evaluation datasets for LuperQ

description: This package provides everything you need to repeat the experimentation regarding the following article: A Hybrid Quantum Approach to Feed Multi-source Fusion Systems with Data from HTML tables Patricia Jiménez, Juan C. Roldán, Rafael Corchuelo Submitted to Information Fusion DATA ---- This folder provides the full repository used to perform the experimentation. It has the following sub-folders: - nishida: this folder provides the experimental tables in a format that is amenable to be used with Nishida et. al.'s proposal. - original_tables: this folder provides the experimental tables in a format that is amenable to be used with the other proposals. - tomate: this folder has some meta-data that are used for validation purposes. The annotation tool is available at http://tomatera.tdg-seville.info. There are also some additional files: - Cambria2.ttf: this is the font used in the notebook; installing it is optional. - enwiki_20180420_100d.txt: this are the embeddings computed to experiment with Nishida et. al.'s proposal. - text-metadata-dict.pk: this is a dictionary with meta-data about the tables used in the experimentation. NOTEBOOK -------- This folder provides the notebook that we prepared to perform the experimentation. Before you run it for the first time, we recommend that you should: - Create a conda environment called "luperq" in which you must install Python 3.7. - Activate the "luperq" environment. - Install the dependencies with "pip install -r requirements.txt". - Install notebook conda kernels with "conda install -n luperq nb_conda_kernels" - Install jupyter kernel with "conda install -c anaconda ipykernel" - Install jupyter kernel into the "luperq" environment with "python -m ipykernel install --user --name=luperq" To launch the experimentation environment, please, run command "launch.cmd" in Windows and "./launch.sh" in Linux. This will open the folder in Jupyter. Please, select the notebook called "Experimental-Analysis.ipynb" and follow the instructions therein. NOTES ----- LuperQ requires access to the D-Wave D-2000 Quantum Processor. Please, make your browser for https://www.dwavesys.com/ and follow the instructions therein to create your account and to install the access key required to use their processor. To facilitate testing LuperQ, this implementation uses a Simulated Annealing Sampler provided by D-Wave. Please, change it if you have a D-Wave account.
DOI: 10.17632/bprm9mpdnb.1
title: LS-DYNA Input Files for DSIF Simulation of a Funnel

description: The following data files contain the input text files to initiate a finite element simulation of Double-Sided Incremental Forming (DSIF) in LS-DYNA. Specifically, LS-DYNA Explicit version 10.1 by LSTC. The part geometry is a funnel. Moreover, this DSIF finite element simulation incorporates a novel tool-model which considers the aggregate effects of machine compliance. The main file is "main_compliant.k", which then makes calls to the other files via the *INCLUDE keyword. This main file contains definitions for part instances, contact interfaces, solver parameters, boundary conditions, property assignments, and output quantities. The files, "botToolAndRing_9p525mm.k" and "topToolAndRing_9p525mm.k", contain definitions of the elements/nodes for the top and bottom tools. The "sheet200X200mm_0p5mmPolar_6ElThru.k" file contains the element/node definitions for the metal sheet. The "materials.k" file contains definitions of the material models used in the simulation, as well as the spring and damper properties for the compliant tools. The files, "fullFunnel_1000mms_DynaBotTips.k" and "fullFunnel_1000mms_DynaBotTips.k", contain definitions of the toolpaths (in X-, Y-, Z-coordinates) for the top and bottom tools. Finally, "fullFunnel_1000mms_DynaOutputTimes.k" contains definitions for when the simulation should export entire simulation states as LS-DYNA .d3plot files.
DOI: 10.17632/pbmt5ysh9d.4
title: Clinical impact of immunotherapy in Merkel cell carcinoma patients: A Systematic Review and Meta-Analysis
DOI: 10.6084/m9.figshare.12435704
title: Personality and educational level determine self-reported health-related quality-of-life and distress in patients with renal tumors awaiting radical surgery

description: <b>Objective:</b> Data on preoperative distress and health-related quality-of-life (HRQoL) is lacking for patients with newly diagnosed renal tumors. This study aims to compare HRQoL within this group with the general population and to study the relationship between distress, HRQoL, personality, coping, and patient/tumor-related factors. <b>Materials and methods:</b> Between January 2011 and June 2014, 153 patients (100 males/53 females), scheduled for surgery were prospectively included. Distress was determined by the General Health Questionnaire (GHQ), HRQoL by EORTC-QLQ-C30 questionnaire, personality by Eysenck Personality Inventory and coping by COPE questionnaire. HRQoL-data from an age and gender matched Norwegian reference population was used for comparison. <b>Results:</b> The study patients had significantly poorer HRQoL than the reference population. GHQ and HRQoL sum scores had a common variance (CV = r<sup>2</sup>) of 29–35%. In regression models, the measured variables accounted for 33% of the variance for the GHQ score. Significant predictors of the measured variance were neuroticism (18%), education level (3%) and avoidant coping (2%). Similarly, the measured variables accounted for 33–44% of the variance for the HRQoL sum scores. For all HRQoL sum scores, neuroticism predicted 17–28%, while education predicted 4–11% of the measured variance. Large tumor size, comorbidity, performance status and CRP predicted 2–7% of individual sum scores. <b>Conclusions:</b> For both preoperative distress and HRQoL, personality traits such as neuroticism and education level were the most important predictors. Tumor-related factors and other preexisting conditions seemed to be of lesser importance. Thus, preoperatively screening of psychological factors could be helpful to identify those at risk of poor outcomes.
DOI: 10.6084/m9.figshare.12435704.v1
title: Personality and educational level determine self-reported health-related quality-of-life and distress in patients with renal tumors awaiting radical surgery

description: <b>Objective:</b> Data on preoperative distress and health-related quality-of-life (HRQoL) is lacking for patients with newly diagnosed renal tumors. This study aims to compare HRQoL within this group with the general population and to study the relationship between distress, HRQoL, personality, coping, and patient/tumor-related factors. <b>Materials and methods:</b> Between January 2011 and June 2014, 153 patients (100 males/53 females), scheduled for surgery were prospectively included. Distress was determined by the General Health Questionnaire (GHQ), HRQoL by EORTC-QLQ-C30 questionnaire, personality by Eysenck Personality Inventory and coping by COPE questionnaire. HRQoL-data from an age and gender matched Norwegian reference population was used for comparison. <b>Results:</b> The study patients had significantly poorer HRQoL than the reference population. GHQ and HRQoL sum scores had a common variance (CV = r<sup>2</sup>) of 29–35%. In regression models, the measured variables accounted for 33% of the variance for the GHQ score. Significant predictors of the measured variance were neuroticism (18%), education level (3%) and avoidant coping (2%). Similarly, the measured variables accounted for 33–44% of the variance for the HRQoL sum scores. For all HRQoL sum scores, neuroticism predicted 17–28%, while education predicted 4–11% of the measured variance. Large tumor size, comorbidity, performance status and CRP predicted 2–7% of individual sum scores. <b>Conclusions:</b> For both preoperative distress and HRQoL, personality traits such as neuroticism and education level were the most important predictors. Tumor-related factors and other preexisting conditions seemed to be of lesser importance. Thus, preoperatively screening of psychological factors could be helpful to identify those at risk of poor outcomes.
DOI: 10.5281/zenodo.4268218
title: Dataset of the article 'Charge accumulation kinetics in multi-redox molecular catalysts immobilised on TiO2'

description: Data published in the article 'Charge accumulation kinetics in multi-redox molecular catalysts immobilised on TiO<sub>2</sub>', available at https://doi.org/10.1039/D0SC04344C. Abstract: Multi-redox catalysis requires the accumulation of more than one charge carrier and is crucial for solar energy conversion into fuels and valuable chemicals. In photo(electro)chemical systems, however, the necessary accumulation of multiple, long-lived charges is challenged by recombination with their counterparts. Herein, we investigate charge accumulation in two model multi-redox molecular catalysts for proton and CO<sub>2</sub> reduction attached onto mesoporous TiO<sub>2</sub> electrodes. Transient absorption spectroscopy and spectroelectrochemical techniques have been employed to study the kinetics of photoinduced electron transfer from the TiO<sub>2</sub> to the molecular catalysts in acetonitrile, with triethanolamine as the hole scavenger. At high light intensities, we detect charge accumulation in the millisecond timescale in the form of multi-reduced species. The redox potentials of the catalysts and the capacity of TiO<sub>2</sub> to accumulate electrons play an essential role in the charge accumulation process at the molecular catalyst. Recombination of reduced species with valence band holes in TiO<sub>2</sub> is observed to be faster than microseconds, while electron transfer from multi-reduced species to the conduction band or the electrolyte occurs in the millisecond timescale. Finally, under light irradiation, we show how charge accumulation on the catalyst is regulated as a function of the applied bias and the excitation light intensity.