cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10003058.v1
title: Development of risk models for major adverse chronic renal outcomes among patients with type 2 diabetes mellitus using insurance claims: a retrospective observational study

description: <b>Objective:</b> To develop and validate models allowing the prediction of major adverse chronic renal outcomes (MACRO) in patients with type 2 diabetes mellitus (T2DM) using insurance claims data. <b>Methods:</b> The Optum Integrated Real World Evidence Electronic Health Records and Claims de-identified database (10/01/2006–09/30/2016) was used to identify T2DM patients ≥50 years old. Risk factors were assessed over a 12-month baseline period, and MACRO were subsequently assessed until the end of data availability, continuous enrollment, or death. Separate models were built for moderate-to-severe diabetic kidney disease (DKD), end-stage renal disease (ESRD), and renal death. A random split-sample approach was employed, where 70% of the sample served for model development (training set) and the remaining 30% served for validation (testing set). C-statistics were used to assess model performance. <b>Results:</b> A total of 160,031 patients were included. Risk factors associated with MACRO for all models included adapted diabetes complications severity index, heart failure, anemia, diabetic nephropathy, and CKD. C-statistics ranged between 0.70 (moderate-to-severe DKD) and 0.84 (renal death) in the testing set. A substantial proportion (e.g. 88.7% for moderate-to-severe DKD) of patients predicted to be at high-risk of MACRO did not have diabetic nephropathy, proteinuria, or CKD at baseline. <b>Conclusions:</b> The models developed using insurance claims data could reliably predict the risk of MACRO in patients with T2DM and enabled patients at higher-risk of DKD to be identified in the absence of baseline diabetic nephropathy, CKD, or proteinuria. These models could help establish strategies to reduce the risk of MACRO in T2DM patients.
DOI: 10.6084/m9.figshare.10003127.v2
title: Metadata record for: A transcriptomic study of Williams-Beuren syndrome associated genes in mouse embryonic stem cells

description: This dataset contains key characteristics about the data described in the Data Descriptor A transcriptomic study of Williams-Beuren syndrome associated genes in mouse embryonic stem cells. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.10003127.v1
title: Metadata record for: A transcriptomic study of Williams-Beuren syndrome associated genes in mouse embryonic stem cells

description: This dataset contains key characteristics about the data described in the Data Descriptor A transcriptomic study of Williams-Beuren syndrome associated genes in mouse embryonic stem cells. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.10002518
title: Vibrational and computational analysis for molecular structure properties of N-(2-(trifluoromethyl)phenyl)acetamide: Density functional theory approach

description: The conformational study using Potential Energy Surface analysis was performed and its minimum energy conformer has been obtained for N-(2-(Trifluoromethyl)phenyl)acetamide. Fourier Transform Infrared and Fourier Transform Raman investigation have been done experimentally and theoretically. Nuclear Magnetic Resonance analysis has been performed to obtain <sup>1</sup>H and <sup>1</sup>C chemical shifts. Ultraviolet-Visible analysis has been performed to obtain maximum absorption wavelength. The molecular orbital diagram with different energies has been obtained and compared with the band gap of Ultraviolet-Visible data. Wave function analysis has been discussed to know the electronic properties. Thus, this present study reports the structural, electrical, chemical activities of the title compound.
DOI: 10.6084/m9.figshare.10002479
title: Genome sequence of Staphylococcus capitis SC35

description: Genome sequence and annotation (genes and proteins) of S. capitis SC35, non-susceptible to daptomycin.
DOI: 10.6084/m9.figshare.10002518.v1
title: Vibrational and computational analysis for molecular structure properties of N-(2-(trifluoromethyl)phenyl)acetamide: Density functional theory approach

description: The conformational study using Potential Energy Surface analysis was performed and its minimum energy conformer has been obtained for N-(2-(Trifluoromethyl)phenyl)acetamide. Fourier Transform Infrared and Fourier Transform Raman investigation have been done experimentally and theoretically. Nuclear Magnetic Resonance analysis has been performed to obtain <sup>1</sup>H and <sup>1</sup>C chemical shifts. Ultraviolet-Visible analysis has been performed to obtain maximum absorption wavelength. The molecular orbital diagram with different energies has been obtained and compared with the band gap of Ultraviolet-Visible data. Wave function analysis has been discussed to know the electronic properties. Thus, this present study reports the structural, electrical, chemical activities of the title compound.
DOI: 10.6084/m9.figshare.10002479.v1
title: Genome sequence of Staphylococcus capitis SC35

description: Genome sequence and annotation (genes and proteins) of S. capitis SC35, non-susceptible to daptomycin.
DOI: 10.6084/m9.figshare.10002125
title: PBMC data for SCelVis

description: IFN-beta treated and control PBMCs from 8 donors<br><br>two groups of PBMCs from Kang et al. 2017 (https://www.nature.com/articles/nbt.4042), analyzed using the Seurat sample alignment strategy as explained in the tutorial at https://satijalab.org/seurat/v2.4/immune_alignment.html and then converted to h5ad format<br><br>* ~14000 cells<br>* IFN-treated and unstimulated PBMCs from 8 donors<br>* donor identities determined using demuxlet (see GSE96583)
DOI: 10.6084/m9.figshare.10002053
title: Near-infrared spectroscopy as a rapid tool for water content analysis in the partial oxidation of ethanol

description: The oxidation of ethanol to acetaldehyde was previously investigated in a continuous flow bench scale reactor using a zirconium-oxide-supported vanadium catalyst. Products were analyzed by near-infrared spectroscopy, a fast and accurate tool for the determination of water, ethanol, and acetaldehyde content. Water content was calibrated by Karl Fischer titration while gas chromatography was used to calibrate ethanol and acetaldehyde contents. Near-infrared spectroscopy is a fast, cost-effective method for the determination of water, ethanol, and acetaldehyde products from partial ethanol oxidation.
DOI: 10.6084/m9.figshare.10002038
title: Anthropogenic aerosol forcing under the Shared Socioeconomic Pathways

description: Data underlying figures in "Anthropogenic aerosol forcing under the Shared Socioeconomic Pathways" by Lund, M.T., Myhre, G., Samset, B.H.
DOI: 10.6084/m9.figshare.10002053.v1
title: Near-infrared spectroscopy as a rapid tool for water content analysis in the partial oxidation of ethanol

description: The oxidation of ethanol to acetaldehyde was previously investigated in a continuous flow bench scale reactor using a zirconium-oxide-supported vanadium catalyst. Products were analyzed by near-infrared spectroscopy, a fast and accurate tool for the determination of water, ethanol, and acetaldehyde content. Water content was calibrated by Karl Fischer titration while gas chromatography was used to calibrate ethanol and acetaldehyde contents. Near-infrared spectroscopy is a fast, cost-effective method for the determination of water, ethanol, and acetaldehyde products from partial ethanol oxidation.
DOI: 10.6084/m9.figshare.10001906
title: Recommendations of older adults on how to use the PROM ‘TOPICS-MDS’ in healthcare conversations: a Delphi study

description: SPSS Dataset with the ranking data of the health domains of the TOPICS-MDS as assessed by the participants of the first round of the Delphi study.
DOI: 10.6084/m9.figshare.10001906.v1
title: Recommendations of older adults on how to use the PROM ‘TOPICS-MDS’ in healthcare conversations: a Delphi study

description: SPSS Dataset with the ranking data of the health domains of the TOPICS-MDS as assessed by the participants of the first round of the Delphi study.
DOI: 10.6084/m9.figshare.10001870
title: Transcriptome assembly for the bath sponge Spongia officinalis, adjusting for microsymbionts

description: RNASeq experimental design and bioinformatic analysis of heat stress response in Mediterranean bath sponge <i>Spongia officinalis</i>.
DOI: 10.6084/m9.figshare.10001753
title: Additional file 2: of Persistence of multiple patterns and intraspecific polymorphism in multi-species Müllerian communities of net-winged beetles

description: The resulting tree topologies from all data matrices recovered from RAD data filtering. The trees are provided in the newick format.
DOI: 10.6084/m9.figshare.10001753.v1
title: Additional file 2: of Persistence of multiple patterns and intraspecific polymorphism in multi-species Müllerian communities of net-winged beetles

description: The resulting tree topologies from all data matrices recovered from RAD data filtering. The trees are provided in the newick format.
DOI: 10.6084/m9.figshare.10001732
title: Additional file 2: of Comparison of peritoneal dialysis and hemodialysis as first renal replacement therapy in patients with end-stage renal disease and diabetes: a systematic review

description: Search strategy. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.10001732.v1
title: Additional file 2: of Comparison of peritoneal dialysis and hemodialysis as first renal replacement therapy in patients with end-stage renal disease and diabetes: a systematic review

description: Search strategy. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.10001660
title: MOESM7 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 7. Data set endogenous legislation 2005_2001_1993.
DOI: 10.6084/m9.figshare.10001651
title: MOESM5 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 5. Data set 2001.
DOI: 10.6084/m9.figshare.10001660.v1
title: MOESM7 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 7. Data set endogenous legislation 2005_2001_1993.
DOI: 10.6084/m9.figshare.10001645
title: MOESM4 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 4. Data set 2005.
DOI: 10.6084/m9.figshare.10001651.v1
title: MOESM5 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 5. Data set 2001.
DOI: 10.6084/m9.figshare.10001654
title: MOESM6 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 6. Data set 1993.
DOI: 10.6084/m9.figshare.10001636
title: MOESM3 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 3. Equality of coefficients for dynamic specifications.
DOI: 10.6084/m9.figshare.10001645.v1
title: MOESM4 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 4. Data set 2005.
DOI: 10.6084/m9.figshare.10001654.v1
title: MOESM6 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 6. Data set 1993.
DOI: 10.6084/m9.figshare.12866717
title: Figure 4 from manuscript Sparsely-Connected Autoencoder (SCA) for single cell RNAseq data mining

description: Dataset used to generate figure 4: QCM/QCC plots using different normalizations for the SCA input counts table. A) Log10 transformed (figure4/setA/Results/setAMIRNA_SIMLR/5/setA_StabilitySignificativityJittered.pdf), B) Centred log-ratio normalization (CLR) (figure4/setA/Results/CLR_FNMIRNA_SIMLR/5/normalized_CLR_FN_StabilitySignificativityJittered.pdf), C) relative log-expression (RLE) (figure4/setA/Results/DESEQ_FNMIRNA_SIMLR/5/normalized_DESEQ_FN_StabilitySignificativityJittered.pdf), D) full-quantile normalization (FQ) (figure4/setA/Results/FQ_FNMIRNA_SIMLR/5/normalized_FQ_FN_StabilitySignificativityJittered.pdf), E) sum scaling normalization (SUM) (/figure4/setA/Results/SUM_FNMIRNA_SIMLR/5/normalized_SUM_FN_StabilitySignificativityJittered.pdf), F) weighted trimmed mean of M-values (TMM) (figure4/setA/Results/TMM_FNMIRNA_SIMLR/5/normalized_TMM_FN_StabilitySignificativityJittered.pdf).<br>
DOI: 10.6084/m9.figshare.12866717.v1
title: Figure 4 from manuscript Sparsely-Connected Autoencoder (SCA) for single cell RNAseq data mining

description: Dataset used to generate figure 4: QCM/QCC plots using different normalizations for the SCA input counts table. A) Log10 transformed (figure4/setA/Results/setAMIRNA_SIMLR/5/setA_StabilitySignificativityJittered.pdf), B) Centred log-ratio normalization (CLR) (figure4/setA/Results/CLR_FNMIRNA_SIMLR/5/normalized_CLR_FN_StabilitySignificativityJittered.pdf), C) relative log-expression (RLE) (figure4/setA/Results/DESEQ_FNMIRNA_SIMLR/5/normalized_DESEQ_FN_StabilitySignificativityJittered.pdf), D) full-quantile normalization (FQ) (figure4/setA/Results/FQ_FNMIRNA_SIMLR/5/normalized_FQ_FN_StabilitySignificativityJittered.pdf), E) sum scaling normalization (SUM) (/figure4/setA/Results/SUM_FNMIRNA_SIMLR/5/normalized_SUM_FN_StabilitySignificativityJittered.pdf), F) weighted trimmed mean of M-values (TMM) (figure4/setA/Results/TMM_FNMIRNA_SIMLR/5/normalized_TMM_FN_StabilitySignificativityJittered.pdf).<br>
DOI: 10.6084/m9.figshare.10001630
title: MOESM2 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 2. Endogenous legislation.
DOI: 10.6084/m9.figshare.10001636.v1
title: MOESM3 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 3. Equality of coefficients for dynamic specifications.
DOI: 10.6084/m9.figshare.10001630.v1
title: MOESM2 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 2. Endogenous legislation.
DOI: 10.6084/m9.figshare.10001621
title: MOESM1 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 1. Divorce law on divorce rates.
DOI: 10.6084/m9.figshare.10001621.v1
title: MOESM1 of Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico

description: Additional file 1. Divorce law on divorce rates.
DOI: 10.6084/m9.figshare.10001540
title: MOESM3 of Advantages of using 3D virtual reality based training in persons with Parkinsonâ s disease: a parallel study

description: Additional file 3. Data table of 2D group for Matlab
DOI: 10.6084/m9.figshare.10001537
title: MOESM2 of Advantages of using 3D virtual reality based training in persons with Parkinsonâ s disease: a parallel study

description: Additional file 2. Data table of 3D group for Matlab
DOI: 10.6084/m9.figshare.10001540.v1
title: MOESM3 of Advantages of using 3D virtual reality based training in persons with Parkinsonâ s disease: a parallel study

description: Additional file 3. Data table of 2D group for Matlab
DOI: 10.6084/m9.figshare.10001531
title: MOESM1 of Advantages of using 3D virtual reality based training in persons with Parkinsonâ s disease: a parallel study

description: Additional file 1. Participantsâ data
DOI: 10.6084/m9.figshare.10001537.v1
title: MOESM2 of Advantages of using 3D virtual reality based training in persons with Parkinsonâ s disease: a parallel study

description: Additional file 2. Data table of 3D group for Matlab
DOI: 10.6084/m9.figshare.10001531.v1
title: MOESM1 of Advantages of using 3D virtual reality based training in persons with Parkinsonâ s disease: a parallel study

description: Additional file 1. Participantsâ data
DOI: 10.6084/m9.figshare.10001480
title: MOESM1 of A comprehensive survey of the prevalence and spatial distribution of ticks infesting cattle in different agro-ecological zones of Cameroon

description: Additional file 1: Table S1. Geographical coordinates, BLASTn results and GenBank accession numbers of cytochrome oxidase I (cox1) gene sequences of cattle ticks from Cameroon.
DOI: 10.6084/m9.figshare.10001480.v1
title: MOESM1 of A comprehensive survey of the prevalence and spatial distribution of ticks infesting cattle in different agro-ecological zones of Cameroon

description: Additional file 1: Table S1. Geographical coordinates, BLASTn results and GenBank accession numbers of cytochrome oxidase I (cox1) gene sequences of cattle ticks from Cameroon.
DOI: 10.6084/m9.figshare.10001450
title: MOESM1 of Molecular mutations as a possible factor for determining extent of thyroid surgery

description: Additional file 1. Krasner et al. raw data bank.
DOI: 10.6084/m9.figshare.12685937.v1
title: Daily updated dataset of national and global CO2 emissions from fossil fuel and cement production

description: Timely, comprehensive and accurate dataset of CO2 emissions from fossil fuel combustion and cement production are fundamental prerequisites to understanding the global carbon cycle and designing evidenced-based policies for reducing carbon emissions. Here we provided daily CO2 emission data record started from Jan. 1<sup>st</sup> 2019. The dataset uncovered the daily CO2 dynamics through daily, weekly and seasonal variations as well as the change of daily CO2 due to the holiday events and the impact of COVID-19 pandemic.Such near-real-time CO2 dataset would be of great advantage to further monitoring the human activities and to capture the impacts of COVID-19 for long term.
DOI: 10.6084/m9.figshare.10001450.v1
title: MOESM1 of Molecular mutations as a possible factor for determining extent of thyroid surgery

description: Additional file 1. Krasner et al. raw data bank.
DOI: 10.6084/m9.figshare.10001405
title: MOESM3 of Hemimethylation of CpG dyads is characteristic of secondary DMRs associated with imprinted loci and correlates with 5-hydroxymethylcytosine at paternally methylated sequences

description: Additional file 3. Dinucleotide frequencies at paternally- and maternally-methylated DMRs associated with imprinted genes. Frequencies were calculated as described in â Methodsâ using data coordinates provided in Xie et al. [35].
DOI: 10.6084/m9.figshare.10001405.v1
title: MOESM3 of Hemimethylation of CpG dyads is characteristic of secondary DMRs associated with imprinted loci and correlates with 5-hydroxymethylcytosine at paternally methylated sequences

description: Additional file 3. Dinucleotide frequencies at paternally- and maternally-methylated DMRs associated with imprinted genes. Frequencies were calculated as described in â Methodsâ using data coordinates provided in Xie et al. [35].
DOI: 10.6084/m9.figshare.10001396
title: MOESM1 of Hemimethylation of CpG dyads is characteristic of secondary DMRs associated with imprinted loci and correlates with 5-hydroxymethylcytosine at paternally methylated sequences

description: Additional file 1. Methylation levels at imprinted DMRs generally do not vary across development. Mannâ Whitney U tests were performed to compare methylation patterns on maternal and paternal alleles at each primary and secondary DMR across development. In general, methylation levels on each parental allele did not significantly change across development, illustrating that overall levels of methylation are maintained developmentally once they are established.
DOI: 10.6084/m9.figshare.10001399
title: MOESM2 of Hemimethylation of CpG dyads is characteristic of secondary DMRs associated with imprinted loci and correlates with 5-hydroxymethylcytosine at paternally methylated sequences

description: Additional file 2. Hemimethylation data from each locus across development. Individual pages contain data for number of hemimethylated sites at the H19-ppDMR, Cdkn1c DMR, Ndn DMR, Peg12 DMR, H19 ICR and Snrpn DMR. Hemimethylation frequencies were determined from raw data illustrated in Figs.Â 2, 3, 4 and Additional file 7: Figure S1; Additional file 8: Figure S2; Additional file 9: Figure S3; Additional file 10: Figure S4. Frequencies were calculated for maternal and paternal alleles at each developmental stage and combined to obtain total hemimethylation values.
DOI: 10.21227/520a-7a98
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,506,069 records of flight data, each containing 51 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.6084/m9.figshare.10001399.v1
title: MOESM2 of Hemimethylation of CpG dyads is characteristic of secondary DMRs associated with imprinted loci and correlates with 5-hydroxymethylcytosine at paternally methylated sequences

description: Additional file 2. Hemimethylation data from each locus across development. Individual pages contain data for number of hemimethylated sites at the H19-ppDMR, Cdkn1c DMR, Ndn DMR, Peg12 DMR, H19 ICR and Snrpn DMR. Hemimethylation frequencies were determined from raw data illustrated in Figs.Â 2, 3, 4 and Additional file 7: Figure S1; Additional file 8: Figure S2; Additional file 9: Figure S3; Additional file 10: Figure S4. Frequencies were calculated for maternal and paternal alleles at each developmental stage and combined to obtain total hemimethylation values.
DOI: 10.6084/m9.figshare.10001396.v1
title: MOESM1 of Hemimethylation of CpG dyads is characteristic of secondary DMRs associated with imprinted loci and correlates with 5-hydroxymethylcytosine at paternally methylated sequences

description: Additional file 1. Methylation levels at imprinted DMRs generally do not vary across development. Mannâ Whitney U tests were performed to compare methylation patterns on maternal and paternal alleles at each primary and secondary DMR across development. In general, methylation levels on each parental allele did not significantly change across development, illustrating that overall levels of methylation are maintained developmentally once they are established.
DOI: 10.6084/m9.figshare.10001147
title: MOESM2 of Genome-wide identification of small heat-shock protein (HSP20) gene family in grape and expression profile during berry development

description: Additional file 2: Table S1. Primers used for the qRT-PCR reactions.
DOI: 10.6084/m9.figshare.10001147.v1
title: MOESM2 of Genome-wide identification of small heat-shock protein (HSP20) gene family in grape and expression profile during berry development

description: Additional file 2: Table S1. Primers used for the qRT-PCR reactions.
DOI: 10.6084/m9.figshare.10001114
title: MOESM1 of Genetic and environmental variation impact the cuticular hydrocarbon metabolome on the stigmatic surfaces of maize

description: Additional file 1: Table S1. Abundances of all hydrocarbon constituents for silk samples from inbred lines grown in 2009 and 2010. Individual metabolite abundances (Îźmol/g dry weight) are provided for each silk extract in this study, which includes emerged and husk-encased silk extracts from 32 inbred lines evaluated at either or both 3-days and 6-days post-silk emergence in either or both the 2009 and 2010 growing seasons. A key to column headings is provided in the file.