cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6169415
title: Training in Programming for Astrophysicists - Survey results

description: Survey realised during Feb-Mar 2018 to get some insights about training in software to physicists (mainly astrophysicists).<br><br>More information about analysis at: http://dpshelio.github.io/blog/2018/04/15/software-taught-on-physics.html<br>
DOI: 10.6084/m9.figshare.6169415.v1
title: Training in Programming for Astrophysicists - Survey results

description: Survey realised during Feb-Mar 2018 to get some insights about training in software to physicists (mainly astrophysicists).<br><br>More information about analysis at: http://dpshelio.github.io/blog/2018/04/15/software-taught-on-physics.html<br>
DOI: 10.6084/m9.figshare.6169409
title: SullivanetalMetabolomicsSourceData.xlsx

description: Metabolomics source data for Sullivan et al. "Aspartate is an endogenous metabolic limitation for tumour growth"
DOI: 10.6084/m9.figshare.6169361
title: raw data carbon flux, PAR, Tair, moisture, soil temperature

description: fluxdata: carbon flux measurements, PAR, Tair <br><br>moisture: wet and dryweights and corresponding soil moisture content<br><br>soil_temp: soil temperature data measured in two soil corese (one for each treatment)<br><br>metadata: contains information on the columns in the raw data files<br>
DOI: 10.6084/m9.figshare.6169361.v1
title: raw data carbon flux, PAR, Tair, moisture, soil temperature

description: fluxdata: carbon flux measurements, PAR, Tair <br><br>moisture: wet and dryweights and corresponding soil moisture content<br><br>soil_temp: soil temperature data measured in two soil corese (one for each treatment)<br><br>metadata: contains information on the columns in the raw data files<br>
DOI: 10.6084/m9.figshare.6169304
title: IM_02.pdf

description: Unsupervised Statistical Machine Learning Model for Information retrieval from human consciousness. Knowledge Representation.<br>10.6084/m9.figshare.6169304
DOI: 10.6084/m9.figshare.6169304.v1
title: IM_02.pdf

description: Unsupervised Statistical Machine Learning Model for Information retrieval from human consciousness. Knowledge Representation.<br>10.6084/m9.figshare.6169304
DOI: 10.6084/m9.figshare.6169283
title: ventilation.xlsx

description: This excel is my origin data for highly and poorly ventilation.<br>
DOI: 10.6084/m9.figshare.6169283.v1
title: ventilation.xlsx

description: This excel is my origin data for highly and poorly ventilation.<br>
DOI: 10.6084/m9.figshare.6169283.v2
title: ventilation.xlsx

description: This excel is my origin data for highly and poorly ventilation.<br>
DOI: 10.6084/m9.figshare.6169283.v3
title: ventilation.xlsx

description: This excel is my origin data for highly and poorly ventilation.<br>
DOI: 10.6084/m9.figshare.6169250
title: Untitled Item

description: JC136
DOI: 10.6084/m9.figshare.6169250.v1
title: Untitled Item

description: JC136
DOI: 10.6084/m9.figshare.6169244
title: Dataset 7 - thiohydroxybutyrate-methyltransferase homology analyses

description: Sequences from diatoms with homology to a published gene encoding Thalassiosira methyltransferase (TpMMT), which catalyzes the key step of DMSP synthesis formation of 4-methylthio-2-hydroxybutyrate (DMSHB) from 4-methylthio-2-oxobutyrate (MTHB). Includes Interproscan results for the new isolates.<br>
DOI: 10.6084/m9.figshare.6169244.v1
title: Supplementary_data_7-thiohydroxybutyrate-methyltransferase homology analyses

description: Sequences from diatoms with homology to a published gene encoding Thalassiosira methyltransferase (TpMMT), which catalyzes the key step of DMSP synthesis formation of 4-methylthio-2-hydroxybutyrate (DMSHB) from 4-methylthio-2-oxobutyrate (MTHB).<br>
DOI: 10.6084/m9.figshare.6169244.v2
title: Supplementary data 7 - thiohydroxybutyrate-methyltransferase homology analyses

description: Sequences from diatoms with homology to a published gene encoding Thalassiosira methyltransferase (TpMMT), which catalyzes the key step of DMSP synthesis formation of 4-methylthio-2-hydroxybutyrate (DMSHB) from 4-methylthio-2-oxobutyrate (MTHB). Includes Interproscan results for the new isolates.<br>
DOI: 10.6084/m9.figshare.6169244.v3
title: Supplementary data 7 - thiohydroxybutyrate-methyltransferase homology analyses

description: Sequences from diatoms with homology to a published gene encoding Thalassiosira methyltransferase (TpMMT), which catalyzes the key step of DMSP synthesis formation of 4-methylthio-2-hydroxybutyrate (DMSHB) from 4-methylthio-2-oxobutyrate (MTHB). Includes Interproscan results for the new isolates.<br>
DOI: 10.6084/m9.figshare.6169244.v4
title: Supplementary data 7 - thiohydroxybutyrate-methyltransferase homology analyses

description: Sequences from diatoms with homology to a published gene encoding Thalassiosira methyltransferase (TpMMT), which catalyzes the key step of DMSP synthesis formation of 4-methylthio-2-hydroxybutyrate (DMSHB) from 4-methylthio-2-oxobutyrate (MTHB). Includes Interproscan results for the new isolates.<br>
DOI: 10.6084/m9.figshare.6169244.v5
title: Dataset 7 - thiohydroxybutyrate-methyltransferase homology analyses

description: Sequences from diatoms with homology to a published gene encoding Thalassiosira methyltransferase (TpMMT), which catalyzes the key step of DMSP synthesis formation of 4-methylthio-2-hydroxybutyrate (DMSHB) from 4-methylthio-2-oxobutyrate (MTHB). Includes Interproscan results for the new isolates.<br>
DOI: 10.6084/m9.figshare.6169040
title: MOESM2 of Methane-yielding microbial communities processing lactate-rich substrates: a piece of the anaerobic digestion puzzle

description: Additional file 2. Enzymes (identified by EC number) of prokaryotic carbon fixation pathways in bioreactor microbial communities M1A and M1B, including the enzymes comprising the Wood–Ljungdahl pathway.
DOI: 10.6084/m9.figshare.6169040.v1
title: MOESM2 of Methane-yielding microbial communities processing lactate-rich substrates: a piece of the anaerobic digestion puzzle

description: Additional file 2. Enzymes (identified by EC number) of prokaryotic carbon fixation pathways in bioreactor microbial communities M1A and M1B, including the enzymes comprising the Wood–Ljungdahl pathway.
DOI: 10.6084/m9.figshare.6169031
title: MOESM1 of Methane-yielding microbial communities processing lactate-rich substrates: a piece of the anaerobic digestion puzzle

description: Additional file 1. Genera present in both the M1A and M1B communities with corresponding read numbers used in searching for genes of the Wood–Ljungdahl pathway.
DOI: 10.6084/m9.figshare.6169031.v1
title: MOESM1 of Methane-yielding microbial communities processing lactate-rich substrates: a piece of the anaerobic digestion puzzle

description: Additional file 1. Genera present in both the M1A and M1B communities with corresponding read numbers used in searching for genes of the Wood–Ljungdahl pathway.
DOI: 10.6084/m9.figshare.6169016
title: NCommunications-4-21-2018.xlsx

description: Original data used in Nature Communications (2018).
DOI: 10.6084/m9.figshare.6169004
title: 2018 yt SI2 Poster

description: Poster prepared for the 2018 NSF SI2 PI meeting in Washington DC. Updates on the status of the yt project and associated NSF grants funding yt development.<br>
DOI: 10.6084/m9.figshare.6169004.v1
title: 2018 yt SI2 Poster

description: Poster prepared for the 2018 NSF SI2 PI meeting in Washington DC. Updates on the status of the yt project and associated NSF grants funding yt development.<br>
DOI: 10.6084/m9.figshare.6168839
title: Frequency and associated factors of bone fractures in Russians: survey results of the Ural Eye and Medical Study

description: This dataset consists of a single <b>.sav</b> SPSS data file presenting the anonymised survey results of the Ural Eye and Medical Study into the frequency and associated factors of bone fractures in Russians.<br>Data can be accessed via the IBM software program SPSS: Statistical Package for Social Science, or via open-source <b>.sav </b>viewers.<br>The data present answers to survey questions into bone fracture types suffered, diet, behaviour (such as smoking and alcohol consumption), daily physical activity, depression and suicidal ideas, and medical history including known diagnosis and therapy of major diseases such as arterial hypertension, diabetes mellitus, and cardiovascular diseases. Alongside survey questions, anthropometry measures such as arterial and systolic blood pressure, blood sample measures (e.g. concentrations of glucose, blood lipids, C-reactive protein, erythrocyte sedimentation rate, hemoglobin), blood glucose concentration and hearing loss data were obtained through direct testing. For more detailed explanation of the parameters and their response labels please see the Variables view in the data file.<br>Standardised interviews were performed by trained social workers, including 5,397 eligible participants from the urban region of Kirovskii of the city of Ufa in Russia, and in villages of the rural region of the Karmaskalinsky District within a distance of 65 km from Ufa. According to the Declaration of Helsinki, the Ethics Committee of the Academic Council of the Ufa Eye Research Institute approved the study and all participants gave informed written consent. Inclusion criterion for the participation in the study was living in the study region (population ~1.1 million) and having an age of 40+ years. There were no exclusion criteria. The related study seeks to address the gap in recorded frequency of bone fractures in Russia, and the related burden of disease in terms of age-standardised DALY (disability-adjusted life years) rates.<br><i>Note that parameters of this datafile that could lead to identification of research participants have been removed (for example gender, age, marital status, religion); thus the number of variables is fewer than reported in the related publication.</i>
DOI: 10.6084/m9.figshare.6168839.v1
title: Frequency and associated factors of bone fractures in Russians: survey results of the Ural Eye and Medical Study

description: This dataset consists of a single <b>.sav</b> SPSS data file presenting the anonymised survey results of the Ural Eye and Medical Study into the frequency and associated factors of bone fractures in Russians.<br>Data can be accessed via the IBM software program SPSS: Statistical Package for Social Science, or via open-source <b>.sav </b>viewers.<br>The data present answers to survey questions into bone fracture types suffered, diet, behaviour (such as smoking and alcohol consumption), daily physical activity, depression and suicidal ideas, and medical history including known diagnosis and therapy of major diseases such as arterial hypertension, diabetes mellitus, and cardiovascular diseases. Alongside survey questions, anthropometry measures such as arterial and systolic blood pressure, blood sample measures (e.g. concentrations of glucose, blood lipids, C-reactive protein, erythrocyte sedimentation rate, hemoglobin), blood glucose concentration and hearing loss data were obtained through direct testing. For more detailed explanation of the parameters and their response labels please see the Variables view in the data file.<br>Standardised interviews were performed by trained social workers, including 5,397 eligible participants from the urban region of Kirovskii of the city of Ufa in Russia, and in villages of the rural region of the Karmaskalinsky District within a distance of 65 km from Ufa. According to the Declaration of Helsinki, the Ethics Committee of the Academic Council of the Ufa Eye Research Institute approved the study and all participants gave informed written consent. Inclusion criterion for the participation in the study was living in the study region (population ~1.1 million) and having an age of 40+ years. There were no exclusion criteria. The related study seeks to address the gap in recorded frequency of bone fractures in Russia, and the related burden of disease in terms of age-standardised DALY (disability-adjusted life years) rates.<br><i>Note that parameters of this datafile that could lead to identification of research participants have been removed (for example gender, age, marital status, religion); thus the number of variables is fewer than reported in the related publication.</i>
DOI: 10.6084/m9.figshare.6168809
title: Free throws results and predictions by male and female players

description: Subjects shot free throws and their vision was occluded at ball release. Subjects predicted the shot was 'in' or 'out' after each shot. Files show counts for actual shot outcomes and predictions made by the shooter and statistical values for true positive, false positive, etc.
DOI: 10.6084/m9.figshare.6168803
title: New algorithm for predicting gastroesophageal varices

description: We retrospectively analyzed 659 patients with chronic hepatitis B virus(HBV) infection and 410 patients in our medical center, from October, 2015 to December, 2017. We set 659 CHB patients as training set, and 410 patients with other chronic liver diseases as validation set. Logistic regression analysis between the conventional markers and the performances of GOV detected by endoscopy were assessed. A new algorithm for diagnosing GOV was established and its sensitivity and specificity for predicting the varices was verified.
DOI: 10.6084/m9.figshare.6168803.v1
title: raw data.xls

description: We retrospectively analyzed 659 patients with chronic hepatitis B virus(HBV) infection and 410 patients in our medical center, from October, 2015 to December, 2017. We set 659 CHB patients as training set, and 410 patients with other chronic liver diseases as validation set. Logistic regression analysis between the conventional markers and the performances of GOV detected by endoscopy were assessed. A new algorithm for diagnosing GOV was established and its sensitivity and specificity for predicting the varices was verified.
DOI: 10.6084/m9.figshare.6168791
title: Quantitative analysis of pixel crosstalk in AMOLED displays

description: The resolution of organic light-emitting diode (OLED) displays is increasing steadily as these displays are adopted for mobile and virtual reality (VR) devices. This leads to a stronger pixel crosstalk effect, where the neighbors of active pixels unintentionally emit light due to a lateral electric current between the pixels. Recently, the crosstalk was quantified by measuring the current flowing through the common hole transport layer between the neighboring pixels and comparing it to the current through the active pixel diode [S.-K. Kwon, K.-S. Kim, H.-C. Choi and J. H. Kwon, presented at the International Meeting on Information Display, Jeju, South Korea, 2016]. The measurements showed that the crosstalk is more crucial for low light levels. In such cases, the intended and parasitic currents are similar. The simulations performed in this study validated these measurement results. By simulations, we quantify the crosstalk current through the diode. The luminous intensity can be calculated with the measured current efficiency of the diodes. For low light levels, the unintended luminance can reach up to 40% of the intended luminance. The luminance due to pixel crosstalk is perceivable by humans. This effect should be considered for OLED displays with resolutions higher than 300 PPI.
DOI: 10.6084/m9.figshare.6168791.v1
title: Quantitative analysis of pixel crosstalk in AMOLED displays

description: The resolution of organic light-emitting diode (OLED) displays is increasing steadily as these displays are adopted for mobile and virtual reality (VR) devices. This leads to a stronger pixel crosstalk effect, where the neighbors of active pixels unintentionally emit light due to a lateral electric current between the pixels. Recently, the crosstalk was quantified by measuring the current flowing through the common hole transport layer between the neighboring pixels and comparing it to the current through the active pixel diode [S.-K. Kwon, K.-S. Kim, H.-C. Choi and J. H. Kwon, presented at the International Meeting on Information Display, Jeju, South Korea, 2016]. The measurements showed that the crosstalk is more crucial for low light levels. In such cases, the intended and parasitic currents are similar. The simulations performed in this study validated these measurement results. By simulations, we quantify the crosstalk current through the diode. The luminous intensity can be calculated with the measured current efficiency of the diodes. For low light levels, the unintended luminance can reach up to 40% of the intended luminance. The luminance due to pixel crosstalk is perceivable by humans. This effect should be considered for OLED displays with resolutions higher than 300 PPI.
DOI: 10.6084/m9.figshare.6168776
title: Dataset 8 - Metabolomics

description: XML output from Agilent software, three replicates for each sample (Methanol extractions from phytoplankton species) and XCMS output for statistical analyses and compound assignments in a .tar.gz compressed file.
DOI: 10.6084/m9.figshare.6168776.v2
title: Dataset 8 - Metabolomics

description: XML output from Agilent software, three replicates for each sample (Methanol extractions from phytoplankton species) and XCMS output for statistical analyses and compound assignments in a .tar.gz compressed file.
DOI: 10.6084/m9.figshare.6168776.v1
title: Supplementary Data 8 - Metabolomics

description: XML output from Agilent software, three replicates for each sample (Methanol extractions from phytoplankton species) and XCMS output for statistical analyses and compound assignments in a .tar.gz compressed file.
DOI: 10.6084/m9.figshare.6168734
title: Dataset 5 - EC numbers and KEGG pathways

description: EC numbers found using ECDomain Miner and placed in KEGG pathways with EC2KEGG.<br>
DOI: 10.6084/m9.figshare.6168734.v2
title: Dataset 5 - EC numbers and KEGG pathways

description: EC numbers found using ECDomain Miner and placed in KEGG pathways with EC2KEGG.<br>
DOI: 10.6084/m9.figshare.6168734.v1
title: Suppelementary Data 5 - EC numbers and KEGG pathways

description: EC numbers found using ECDomain Miner and placed in KEGG pathways with EC2KEGG.<br>
DOI: 10.6084/m9.figshare.6168719
title: Dataset 1 - RbcL phylogenetic tree data

description: Phylogenetic tree using RbcL gene from eukaryotic phytoplankton with sequenced genomes.<br>Programs used:<br> p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Monaco; color: #f5f5f5; background-color: #000000} span.s1 {font-variant-ligatures: no-common-ligatures} Usage for FastTree version 2.1.8 Double precision (No SSE3), OpenMP (2 threads): Kalign version 2.04, Copyright (C) 2004, 2005, 2006 Timo Lassmann MAFFT v6.861b (2011/09/24) MUSCLE v3.8.31 by Robert C. Edgar PhyML version 20160115. pmodeltest.py v1.4 prank v.100802. Minimal usage: 'prank sequence_file' PROBCONS version 1.12 - align multiple protein sequences and print to standard output RAxML version 8.1.20 released by Alexandros Stamatakis on April 18 2015. pthreads: OK - This is RAxML version 8.1.20 released by Alexandros Stamatakis on April 18 2015. readAl v1.4.rev6 build[2012-02-02] statAl v1.4.rev6 build[2012-02-02] PROGRAM: T-COFFEE Version_11.00.8cbe486 (2014-08-12 22:05:29 - Revision 8cbe486 - Build 477) trimAl v1.4.rev6 build[2012-02-02]<br>
DOI: 10.6084/m9.figshare.6168719.v2
title: Dataset 1 - RbcL phylogenetic tree data

description: Phylogenetic tree using RbcL gene from eukaryotic phytoplankton with sequenced genomes.<br>Programs used:<br> p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Monaco; color: #f5f5f5; background-color: #000000} span.s1 {font-variant-ligatures: no-common-ligatures} Usage for FastTree version 2.1.8 Double precision (No SSE3), OpenMP (2 threads): Kalign version 2.04, Copyright (C) 2004, 2005, 2006 Timo Lassmann MAFFT v6.861b (2011/09/24) MUSCLE v3.8.31 by Robert C. Edgar PhyML version 20160115. pmodeltest.py v1.4 prank v.100802. Minimal usage: 'prank sequence_file' PROBCONS version 1.12 - align multiple protein sequences and print to standard output RAxML version 8.1.20 released by Alexandros Stamatakis on April 18 2015. pthreads: OK - This is RAxML version 8.1.20 released by Alexandros Stamatakis on April 18 2015. readAl v1.4.rev6 build[2012-02-02] statAl v1.4.rev6 build[2012-02-02] PROGRAM: T-COFFEE Version_11.00.8cbe486 (2014-08-12 22:05:29 - Revision 8cbe486 - Build 477) trimAl v1.4.rev6 build[2012-02-02]<br>
DOI: 10.6084/m9.figshare.6168719.v1
title: Supplementary data 1 - RbcL phylogenetic tree data

description: Phylogenetic tree using RbcL gene from eukaryotic phytoplankton with sequenced genomes.<br>Programs used:<br> p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Monaco; color: #f5f5f5; background-color: #000000} span.s1 {font-variant-ligatures: no-common-ligatures} Usage for FastTree version 2.1.8 Double precision (No SSE3), OpenMP (2 threads): Kalign version 2.04, Copyright (C) 2004, 2005, 2006 Timo Lassmann MAFFT v6.861b (2011/09/24) MUSCLE v3.8.31 by Robert C. Edgar PhyML version 20160115. pmodeltest.py v1.4 prank v.100802. Minimal usage: 'prank sequence_file' PROBCONS version 1.12 - align multiple protein sequences and print to standard output RAxML version 8.1.20 released by Alexandros Stamatakis on April 18 2015. pthreads: OK - This is RAxML version 8.1.20 released by Alexandros Stamatakis on April 18 2015. readAl v1.4.rev6 build[2012-02-02] statAl v1.4.rev6 build[2012-02-02] PROGRAM: T-COFFEE Version_11.00.8cbe486 (2014-08-12 22:05:29 - Revision 8cbe486 - Build 477) trimAl v1.4.rev6 build[2012-02-02]<br>
DOI: 10.6084/m9.figshare.6168716
title: Dataset 4 - Pfams

description: Hmmsearch on the genomic assemblies indicated: including genomes sequenced by the NYUAD group and downloaded from NCBI as indicated in the manuscript.
DOI: 10.6084/m9.figshare.6168716.v2
title: Dataset 4 - Pfams

description: Hmmsearch on the genomic assemblies indicated: including genomes sequenced by the NYUAD group and downloaded from NCBI as indicated in the manuscript.
DOI: 10.6084/m9.figshare.6168716.v1
title: Supplementary Data 4 - Pfams

description: Hmmsearch on the genomic assemblies indicated: including genomes sequenced by the NYUAD group and downloaded from NCBI as indicated in the manuscript.
DOI: 10.6084/m9.figshare.6168578
title: Additional file 8 of Population-based statistical inference for temporal sequence of somatic mutations in cancer genomes

description: Table S7. Enrichment genesets on C2cp for genes with negative SCORE-AN. The results were obtained by GSEApreranked on C2cp (canonical pathway). BLCA, BRCA, COADREAD, KIRC and UCEC did not detect any genesets. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6168578.v1
title: Additional file 8 of Population-based statistical inference for temporal sequence of somatic mutations in cancer genomes

description: Table S7. Enrichment genesets on C2cp for genes with negative SCORE-AN. The results were obtained by GSEApreranked on C2cp (canonical pathway). BLCA, BRCA, COADREAD, KIRC and UCEC did not detect any genesets. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6168572
title: Additional file 7 of Population-based statistical inference for temporal sequence of somatic mutations in cancer genomes

description: Table S6. Enrichment genesets on C2cp for genes with positive SCORE-AN. The results were obtained by GSEApreranked on C2cp (canonical pathway). BLCA, BRCA, COADREAD, HNSC and KIRC did not did not detect any genesets. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.6168572.v1
title: Additional file 7 of Population-based statistical inference for temporal sequence of somatic mutations in cancer genomes

description: Table S6. Enrichment genesets on C2cp for genes with positive SCORE-AN. The results were obtained by GSEApreranked on C2cp (canonical pathway). BLCA, BRCA, COADREAD, HNSC and KIRC did not did not detect any genesets. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.6168566
title: Additional file 6 of Population-based statistical inference for temporal sequence of somatic mutations in cancer genomes

description: Table S5. Enrichment genesets on C5bp for genes with negative SCORE-AN. The results were obtained by GSEApreranked on C5bp (Gene Ontology, biological process). BLCA, BRCA, COADREAD, HNSC, KIRC and LUSC were no results with nominal P value &lt;0.05. (XLSX 10 kb)