cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3sfdcjjkrp.2
title: Neurological Complications of COVID19 during March 2020 at LCMC Health University Medical Center

description: We reviewed the electronic medical records (EMR) of patients hospitalized during the peak of the pandemic, March 1st through March 31st, to document the type and frequency of neurological problems seen in patients with COVID-19 at presentation to the emergency room. Secondary aims were to determine: 1) the frequency of neurological complaints during the hospital stay; 2) whether the presence of any neurological complaint at presentation or any of the individual types of neurological complaints at admission predicted three separate outcomes: death, length of hospital stay, or the need for intubation; and 3) if the presence of any neurological complaint or any of the individual types of neurological complaints developed during hospital stay predicted the previous three outcomes. Setting: The Louisiana Health Sciences Center – New Orleans Institutional Review Board and the University Medical Center Clinical Research Review Committee approved the study protocol. Data acquisition: We reviewed the electronic medical records (EMR) of patients hospitalized during March (March 1st through March 31st) 2020 at the University Medical Center New Orleans (UMCNO), who tested positive for SARS-CoV-2 during the same hospitalization. The EMR team generated a list of 257 patients admitted for COVID-19. We excluded seven patients because of a negative COVID-19 test result or incomplete medical record documentation. Three neurology residents (DC, MS, DB) reviewed the EMR in detail to capture the relevant medical history, clinical course, and laboratory test results and abstracted data into an electronic data collection spreadsheet. We recorded the presentation or development of the following neurological complaints: headache, syncope, altered mental status, seizure, status epilepticus, and ischemic or hemorrhagic stroke.
DOI: 10.17632/rs9c4nbb34.1
title: A Machine Learning Approach to identify new Epigenome Wide Associations in Alzheimer’s disease

description: data repository for paper "A Machine Learning Approach to identify new Epigenome Wide Associations in Alzheimer’s disease"
DOI: 10.17632/d842smr4bc.2
title: Dataset of Vietnamese students' technology acceptance model in distance learning in COVID-19 pandemic

description: Dataset 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: 10.17632/67pypfbfjr.3
title: Data for: AFIF: Automatically Finding Important Features in Community Evolution Prediction for Dynamic Social Networks

description: Networks DBLP network is divided into eleven time windows (time span 01/01/2003 to 31/12/2013). Facebook Wall Posts network is divided into eight time windows (time span 01/01/2005 to 31/12/2008). Wiki-Talk network is segmented into six time windows (time span 24/11/2007 to 31/12/2007). Enron email network is segmented into twelve time windows (time span 01/01/2001 to 31/12/2001). Reddit-reply network is segmented into six time windows (time span 07/01/2014 to 13/01/2014). Stack Overflow network is segmented into six time windows (time span 24/01/2016 to 29/02/2016). Social group discovery Communities of each time window are discovered using Infomap, Label Propagation, and Leiden algorithms. For running the community detection algorithms, we assume that the networks are undirected and unweighted graphs. The communities whose size was smaller than two members were ignored. Community evolution tracking and chain identification In order to track community evolution, we investigate each community to find its similar community or communities from previous time windows, which is called community matching. We employed ICEM (Identification of Community Evolution by Mapping) method in order to determine the evolution events because it is a highly efficient approach to track community evolution and considers partial evolution and non-consecutive time windows (Kadkhoda Mohammadmosaferi & Naderi, 2020). ICEM has two parameters which are α and β, in this paper, the thresholds for being partially similar and very similar are set to α=10% and β=90%, respectively. Each uploaded Dataset contains chains of evolution for a network and a community detection algorithm. Reference: Kadkhoda Mohammadmosaferi, K., Naderi, H., 2020. Evolution of communities in dynamic social networks: An efficient map-based approach. Expert Syst. Appl. 147, 113221. https://doi.org/10.1016/j.eswa.2020.113221
DOI: 10.17632/yrm5sgr74v.1
title: Data for: "Geochemical signatures of acidic drainage recorded in estuarine sediments after an extreme drought"

description: This dataset contains sedimentological and geochemical data for 43 surficial sediments sampled from Lake Albert, South Australia (-35.6, 139.3); one of the two 'Lower Lakes' that constitute the River Murray Estuary. Specifically, this dataset includes laser diffraction grain-size data (43 samples; Malvern Mastersizer 2000), loss-on-ignition data (43 samples), near-total (aqua regia digestion) concentrations for elements Al, S, V, Cr, Mn, Fe, Co, Ni, Cu, Pb and the REEs (43 samples), sequential extraction data for elements Al, V, Cr, Mn, Fe, Co, Ni, Cu, Pb and the REEs (27 sandy silt samples (subset of collected samples)), and Fe(II)/Fe(III) data (26 sandy silt samples). Al, V, Pb, and the REEs were analysed in all extracts using inductively coupled plasma mass spectrometry (ICP-MS; Perkin-Elmer NexION 350X), while S, Cr, Mn, Fe, Co, Ni, and Cu were analysed using inductively coupled plasma optical emission spectrometry (ICP-OES; Varian 720-ES). All geochemical data is in ppb units. This dataset accompanies the paper: Job, T., Penny, D., Morgan, B., 2020. Geochemical signatures of acidic drainage recorded in estuarine sediments after an extreme drought. Sci. Total Environ. 749, 141435. https://doi.org/https://doi.org/10.1016/j.scitotenv.2020.141435
DOI: 10.17632/fm8hvpd9w7.1
title: Questionnaire data on teacher beliefs about educational research

description: The data were collected by a questionnaire on teachers' beliefs about research developed by the researchers. Studies on teacher perception about research were used to develop the questionnaire items. The questionnaire was written in Bahasa Indonesia, and then was validated by three educational experts as well as researchers. The questionnaire draft consisted of 72 items with a 6 point scale ranging from 1 (strongly disagree) to 6 (strongly agree). Exploratory factor analysis was performed to generate the best-fit factor structure and to reveal the best indicators for measuring each factor.
DOI: 10.5281/zenodo.3983882
title: Research-Squirrel-Engineers/nfdi-wikidata: v0.1

description: add all founded NFDI consotia from first round
DOI: 10.5281/zenodo.3983881
title: Research-Squirrel-Engineers/nfdi-wikidata: v0.1

description: add all founded NFDI consotia from first round
DOI: 10.17632/czm9tbjz7g.1
title: Development of a risk prediction model for early discrimination between permanent and transient congenital hypothyroidism

description: The aim of this study was to develop and evaluate a risk prediction model for clinicians based on clinical and biochemical characteristics of neonates with CH, applicable for the early discrimination between transient and permanent CH up to the one year old.
DOI: 10.23729/e4805d6f-e85e-4712-8481-948dfc7c6f0e
title: Mechanical unfolding of proteins – a comparative non-equilibrium molecular dynamics study

description: Molecular dynamics data files related to article Mykuliak et al. "Mechanical unfolding of proteins – a comparative non-equilibrium molecular dynamics study" published in Biophysical Journal 2020 https://doi.org/10.1016/j.bpj.2020.07.030
DOI: 10.17632/9zdnh42xdx.3
title: Data for: 3674093

description: Indian Clinical Trials on COVID-19: A Review of Clinical Trials Registry of India (CTRI)
DOI: 10.25500/edata.bham.00000535
title: Air quality data Heathrow, LHR2
DOI: 10.17632/f99dmjfz6f.1
title: Impact analysis of small hydropower construction on river connectivity

description: This dataset contains three data files: digital elevation model data, small hydropower station location data, and watershed division data. The digital elevation data is raster data, which can be used to generate river network and basin data in the study area.The location data of small hydropower stations is vector data, and the river is cut into multiple river sections by the location of small hydropower stations.The watershed division data is vector data, which divides the study area into 14 watersheds to analyze.
DOI: 10.17632/f99dmjfz6f.2
title: Impact analysis of small hydropower construction on river connectivity

description: This dataset contains three data files: digital elevation model data, small hydropower station location data, and watershed division data. The digital elevation data is raster data, which can be used to generate river network and basin data in the study area.The location data of small hydropower stations is vector data, and the river is cut into multiple river sections by the location of small hydropower stations.The watershed division data is vector data, which divides the study area into 14 watersheds to analyze.
DOI: 10.17632/ph73v8zx5r.1
title: Research data for article tittled: Metagenomic Analysis Reveals Enhanced Biodiversity and Composting Efficiency of Lignocellulosic Waste by Thermoacidophilic Effective Microorganism (tEM)

description: Dataset for Fig. 1 are provided on datasheet 1 - 4 (temperature, moisture content, pH and EC). These parameters show the differences in physiochemical changesduring composting (with or with thermoacidophilic effective microorganisms, tEM). Values are averages for at least 3 repeations and two replicates are provided for each dataset. Data set for Fig. 2 (compost microbial diversity at phylum level) is provided on datasheet 5 and Fig. 3 (compost diversity of Firmicutes genera) on datasheet 6. These metagenomic datasets indicate changes in the dominant microbial (bacteria) community structure during composting. Data set for Fig. 4 (gradation of compost particles (a - d) and bulk density (e)) is provided datasheet 7. The rate of physical changes in the granular particles of compost is a direct indicator of composting rate. Datasets for Table 2, are shown on datasheet 8 (Total organic carbon, total nitrogen, available phosphate, and Carbon to nitrogen ratio (C/N)). Changes in these mineral nutrients indicate the rate of mineralization during composting.
DOI: 10.23729/d2b36c70-99f6-49bc-a694-a91a6eeb2be2
title: Mechanical unfolding of proteins – a comparative non-equilibrium molecular dynamics study

description: Molecular dynamics data files related to article Mykuliak et al. "Mechanical unfolding of proteins – a comparative non-equilibrium molecular dynamics study" published in Biophysical Journal 2020 https://doi.org/10.1016/j.bpj.2020.07.030
DOI: 10.17632/wdfw5gpvrf.1
title: Dataset for data in brief: Thermoacidophilic Microbial Inoculum Enhanced Composting Efficiency of Lignocellulosic waste.

description: The role of thermoacidophic effective microbes (tEM) used as microbial innoculants during composting was assesed under two experimental condtions; 1) tEM with shadding (tEMA), 2) tEM without shadding (tEMB) and control group - no tEM with out shadding (C). Treatrment of thermoacidophilic microorganisms during composting of lignocellulosic waste improved microbial diversity and microbial abundance. The improved microbial structure subsequently enhanced composting efficiency (composting rate and quality of the final product). Gas/Biogas production: Hydrogen sulphide (ppm), carbon dioxide (%), oxygen (%), and methane (%) production were measured using a biogas analyzer (Optima7 MRU Instruments Inc. Emission monitoring systems, Humble, Texas, USA). Ammonia gas was analyzed by pumping 50 cm3 biogas through 2% Boric acid (pH of 4.5) using ETG 6900 P Ammonia (Etg Risorse & Tecnologia, Carpignano 23 Montiglio (AT) – Italy). And ammonium borate complex titrated with 0.05N H2SO4 and concentration of ammonia gas was calculated based on moles of standard acid consumed. Biogas evolution has a direct relationship with the microbial decomposition of organic. High concentration of biogases like hydrogen sulphide, methane and ammonia, could indicate anaerobic condition. Aerobic decomposition is a more efficient way of composting since most composting microbes are aerobic. Besides, aerobic composting reduces emission of biogas and thus enhance environmental suitability. Microbial evolution data was obtained over 120d composting period through metagenomic DNA sequencing and culture-based microbial enumeration at thermophilic and mesophilic temperatures. Compost treatment with microbial innoculum (tEMA and tEMB) enhanced microbial diversity and abundance, especially during thermophilic phase compared to control group (C). Compost chemical analysis was performed using inductively coupled plasma, atomic emission spectroscopy (ICP-AES) on Perkin Elmer, Optima 8300 (Thermo Fisher Scientific Solutions Co., Ltd. Gwangpyeong-ro, Gangnam-gu, Seoul, Republic of Korea). Heavy metal concentration was used as an indicator of compost quality. Germination index (Gi) at compost concentrations of 25%, 50%, and 75% and global germination index (GI) (the average Gi at 50% and 75%) were calculated (Gariglio et al., 2002; Oktiawan and Zaman, 2018). The treatment groups showed higher germination index compared to control group. In addition, the treatment groups enhanced the population of beneficial microbes in the final compost while suppressing harmful microbial groups. This data is part of the research article (“Metagenomic Analysis Reveals Enhanced Biodiversity and Composting Efficiency of Lignocellulosic Waste by Thermoacidophilic Effective Microorganism (tEM)” (Ajuna et al.)). The data is important for evaluating composting efficiency and quality of the final compost product.
DOI: 10.17632/8p274syn5k.1
title: BLAST Results (Metagenomic Analysis Reveals Enhanced Biodiversity and Composting Efficiency of Lignocellulosic Waste by Thermoacidophilic Effective Microorganism)

description: This data support the results of the article titled: Metagenomic Analysis Reveals Enhanced Biodiversity and Composting Efficiency of Lignocellulosic Waste by Thermoacidophilic Effective Microorganism (tEM) Following the described methodology, microbial groups given in research data were identified. Journal of Environmental Management
DOI: 10.17632/v4jm2txpfw.1
title: Controls of arsenic mobility in the alluvial aquifers near Venice (Italy) elucidated through machine-learning-based mapping and geochemical modeling

description: Supplementary online material for the paper: "Conceptual model of arsenic mobility in the shallow alluvial aquifers near Venice (Italy) elucidated through machine learning and geochemical modeling"
DOI: 10.17632/85hbhd3v95.1
title: Data: Carry-over effects of pre-breeding diets on seahorse (Hippocampus reidi) reproductive success

description: The effects of diet on reproduction success in fishes are fairly well known for many species. In syngnathids (seahorses, pipefishes and seadragons), almost nothing is known about how diet quality during the pre-breeding period might influence subsequent breeding performance and fry quality. In the present study, the influence of pre-breeding diet was assessed for the first time in seahorses. For that, adult seahorses Hippocampus reidi were submitted to three dietary treatments (based on Artemia and/or mysidaceans) including different timing schedules. The assimilation of the diets by breeders and subsequent newborn batches were evaluated isotopically (δ13C and δ15N). In newborn juveniles, the timing of brood release, brood size, and length, weight and survival were also evaluated. The species followed a mixed capital-income reproduction strategy and showed a higher breeding performance and larger newborn with a mixed diet supplied during the whole pre-breeding period (5 months). The enhancements were specially reflected on the second half of the breeding period. The isotopic steady-state in newborn batches was achieved beyond the second month of the breeding period (i.e., slow change rates), depending on the treatment and isotope considered. For the first time in syngnathids, this study also revealed an isotopic relationship between breeder’s diet and newborn. Three data sets are provided: general data on breeders (onset and end of the pre-breeding period), breeders isotopic data (onset and end of the pre-breeding period) and newborn general information and isotopic data.
DOI: 10.17632/745m54sd9c.1
title: Data for: Heterogeneous Worker Flows and Japan's Labor Market

description: I collected the labor flow data from the monthly Labour Force Survey (LFS) of the Statistics Bureau of the Ministry of Internal Affairs and Communications in Japan. From the LFS, I used the results of the basic tabulation (Table I-7) from 2013Feb to 2018Dec. The URL of this database is http://www.stat.go.jp/english/data/roudou/index.htm. I corrected the raw data by adjusting the flows using the method of the Ministry of Labour (1985). Further, I seasonally-adjust them using the X-12-ARIMA program. The TSdata.xlsx file provides this dataset. The Simul_AGG.m conducts the counterfactual simulation in the paper. This program is for the aggregate data.
DOI: 10.17632/mmhw3vhf6w.2
title: Heterogeneous Dataset of Arrhythmia

description: This is a heterogeneous dataset of heart disease and it is collected from MIT-BIH Arrhythmia database of PhysioNet (https://physionet.org ). The created heterogeneous dataset contains three different types of data, where the age of the patient is in numeric form, gender in categorical form and ECG in signal format. The collected data contain six different classes, normal sinus rhythm (NSR), pulmonary ventricular contraction (PVC), sinus tachycardia (ST), sinus bradycardia (SB), atrial fibrillation(AF), and atrial flutter(AFL). The dataset contains 271 male (M) and 145 female (F) where they are in the age range from 1 to 89. In the dataset, all the 10-second (3600 samples) fragments of the ECG signals were selected and they are in mat format (Matlab).
DOI: 10.17632/f29bb72hyw.1
title: COMPDIAM : Participant data and Results

description: COMPDIAM : Participant data and Results A Pilot Project conducted at Karnataka Institute of Endocrinology and Research, Bangalore, between 14th September-14th November 2019
DOI: 10.17632/8wcjch2kxv.1
title: Data for: Optimization of bio-oil and biochar yields from corn stover in low-tech smallholder pyrolysis system using response surface methodology

description: This document contains raw data for the article "Optimization of bio-oil and biochar yields from corn stover in low-tech smallholder pyrolysis system using response surface methodology" by Nicholas Munua, Noble Banadda, Nicholas Kiggundu, Ahamada Zziwa, Isa Kabenge, Jeffrey Seay, Robert Kambugu and Joshua Wanyama
DOI: 10.17632/xv9j5nc4kz.2
title: Allosteric/intrinsic transcriptional termination of RNA polymerase II on human snRNA genes
DOI: 10.5517/ccdc.csd.cc241y7d
title: CCDC 1968073: Experimental Crystal Structure Determination

description: Related Article: Tong Zhang, Yanning Han, Jianzhong Huo, Pengchong Xue|2020|CrystEngComm|22|5137|doi:10.1039/D0CE00770F
DOI: 10.5517/ccdc.csd.cc2475j3
title: CCDC 1973104: Experimental Crystal Structure Determination

description: Related Article: Akash G. Tathe, Chetan C. Chintawar, Vivek W. Bhoyare, Nitin T. Patil|2020|Chem.Commun.|56|9304|doi:10.1039/D0CC03707A
DOI: 10.5517/ccdc.csd.cc24f3rg
title: CCDC 1978815: Experimental Crystal Structure Determination

description: Related Article: Kanhu Charan Behera, Bamaprasad Bag|2020|Chem.Commun.|56|9308|doi:10.1039/D0CC03985C
DOI: 10.5517/ccdc.csd.cc23x169
title: CCDC 1963360: Experimental Crystal Structure Determination

description: Related Article: Kanhu Charan Behera, Bamaprasad Bag|2020|Chem.Commun.|56|9308|doi:10.1039/D0CC03985C
DOI: 10.5517/ccdc.csd.cc24m521
title: CCDC 1984622: Experimental Crystal Structure Determination

description: Related Article: Son Q. T. Pham, Christopher Richardson, Celine Kelso, Anthony C. Willis, Stephen F. Ralph|2020|Dalton Trans.|49|10360|doi:10.1039/D0DT01370F
DOI: 10.5517/ccdc.csd.cc24m532
title: CCDC 1984623: Experimental Crystal Structure Determination

description: Related Article: Son Q. T. Pham, Christopher Richardson, Celine Kelso, Anthony C. Willis, Stephen F. Ralph|2020|Dalton Trans.|49|10360|doi:10.1039/D0DT01370F
DOI: 10.5517/ccdc.csd.cc24m543
title: CCDC 1984624: Experimental Crystal Structure Determination

description: Related Article: Son Q. T. Pham, Christopher Richardson, Celine Kelso, Anthony C. Willis, Stephen F. Ralph|2020|Dalton Trans.|49|10360|doi:10.1039/D0DT01370F
DOI: 10.5517/ccdc.csd.cc24m554
title: CCDC 1984625: Experimental Crystal Structure Determination

description: Related Article: Son Q. T. Pham, Christopher Richardson, Celine Kelso, Anthony C. Willis, Stephen F. Ralph|2020|Dalton Trans.|49|10360|doi:10.1039/D0DT01370F
DOI: 10.5517/ccdc.csd.cc24m565
title: CCDC 1984626: Experimental Crystal Structure Determination

description: Related Article: Son Q. T. Pham, Christopher Richardson, Celine Kelso, Anthony C. Willis, Stephen F. Ralph|2020|Dalton Trans.|49|10360|doi:10.1039/D0DT01370F
DOI: 10.5517/ccdc.csd.cc24qzf9
title: CCDC 1988291: Experimental Crystal Structure Determination

description: Related Article: Son Q. T. Pham, Christopher Richardson, Celine Kelso, Anthony C. Willis, Stephen F. Ralph|2020|Dalton Trans.|49|10360|doi:10.1039/D0DT01370F
DOI: 10.5517/ccdc.csd.cc24ztlk
title: CCDC 1995829: Experimental Crystal Structure Determination

description: Related Article: An Wu, Hui Qian, Wanxiang Zhao, Jianwei Sun|2020|Chemical Science|11|7957|doi:10.1039/D0SC02502J
DOI: 10.5517/ccdc.csd.cc24ztml
title: CCDC 1995830: Experimental Crystal Structure Determination

description: Related Article: An Wu, Hui Qian, Wanxiang Zhao, Jianwei Sun|2020|Chemical Science|11|7957|doi:10.1039/D0SC02502J
DOI: 10.5517/ccdc.csd.cc254g1v
title: CCDC 2000276: Experimental Crystal Structure Determination

description: Related Article: Natalia S. Soldatova, Pavel S. Postnikov, Vitalii V. Suslonov, Troyana Yu. Kissler, Daniil M. Ivanov, Mekhman S. Yusubov, Bartomeu Galmés, Antonio Frontera, Vadim Yu. Kukushkin|2020|Org.Chem.Front.|7|2230|doi:10.1039/D0QO00678E
DOI: 10.5517/ccdc.csd.cc254g2w
title: CCDC 2000277: Experimental Crystal Structure Determination

description: Related Article: Natalia S. Soldatova, Pavel S. Postnikov, Vitalii V. Suslonov, Troyana Yu. Kissler, Daniil M. Ivanov, Mekhman S. Yusubov, Bartomeu Galmés, Antonio Frontera, Vadim Yu. Kukushkin|2020|Org.Chem.Front.|7|2230|doi:10.1039/D0QO00678E
DOI: 10.5517/ccdc.csd.cc254g3x
title: CCDC 2000278: Experimental Crystal Structure Determination

description: Related Article: Natalia S. Soldatova, Pavel S. Postnikov, Vitalii V. Suslonov, Troyana Yu. Kissler, Daniil M. Ivanov, Mekhman S. Yusubov, Bartomeu Galmés, Antonio Frontera, Vadim Yu. Kukushkin|2020|Org.Chem.Front.|7|2230|doi:10.1039/D0QO00678E
DOI: 10.5517/ccdc.csd.cc254g4y
title: CCDC 2000279: Experimental Crystal Structure Determination

description: Related Article: Natalia S. Soldatova, Pavel S. Postnikov, Vitalii V. Suslonov, Troyana Yu. Kissler, Daniil M. Ivanov, Mekhman S. Yusubov, Bartomeu Galmés, Antonio Frontera, Vadim Yu. Kukushkin|2020|Org.Chem.Front.|7|2230|doi:10.1039/D0QO00678E