cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12220460.v2
title: Novel plasma metabolite markers of attention-deficit/hyperactivity disorder identified using high-performance chemical isotope labelling-based liquid chromatography-mass spectrometry

description: <b>Objectives:</b> Metabolites are the intermediate and final products of biological processes and ultimately reflect the responses of these processes to genetic regulation and environmental perturbations, including those involved in attention deficit/hyperactivity disorder (ADHD). <b>Methods:</b> We identified a quantitative profile of plasma metabolites in 58 ADHD patients (mean age 9.0 years, 77.6% males) and 38 healthy control subjects (mean age 10.2 years, 55.3% males) using the high-performance chemical isotope labelling (CIL)-based liquid chromatography-mass spectrometry (LC-MS). Using a volcano plot and orthogonal projections to latent structure-discriminant analysis (OPLS-DA), we determined nine metabolites with differentially expressed levels in ADHD plasma samples. <b>Results:</b> Compared to the control group, the plasma levels of guanosine, O-phosphoethanolamine, phenyl-leucine, hypoxanthine, 4-aminohippuric acid, 5-hydroxylysine, and L-cystine appeared increased in the ADHD patients, whilegentisic acid and tryptophyl-phenylalanine were down-regulated in the patients with ADHD. We found that the plasma levels of all nine metabolites were able to discriminate the ADHD group from the control group. Levels of O-phosphoethanolamine, 4-aminohippuric acid, 5-hydroxylysine, L-cystine, tryptophyl-phenylalanine, and gentisic acid were significantly correlated with clinical ADHD symptoms. <b>Conclusions:</b> This study is the first to use the CIL-based LC-MS to profile ADHD plasma metabolites, and we identified nine novel metabolite biomarkers of ADHD.
DOI: 10.6084/m9.figshare.12220460.v1
title: Novel plasma metabolite markers of attention-deficit/hyperactivity disorder identified using high-performance chemical isotope labeling-based liquid chromatography-mass spectrometry

description: <b>Objectives:</b> Metabolites are the intermediate and final products of biological processes and ultimately reflect the responses of these processes to genetic regulation and environmental perturbations, including those involved in attention deficit/hyperactivity disorder (ADHD). <b>Methods:</b> We identified a quantitative profile of plasma metabolites in 58 ADHD patients (mean age 9.0 years, 77.6% males) and 38 healthy control subjects (mean age 10.2 years, 55.3% males) using the high-performance chemical isotope labeling (CIL)-based liquid chromatography-mass spectrometry (LC-MS). Using a volcano plot and orthogonal projections to latent structure-discriminant analysis (OPLS-DA), we determined nine metabolites with differentially expressed levels in ADHD plasma samples. <b>Results:</b> Compared to the control group, the plasma levels of guanosine, O-phosphoethanolamine, phenyl-leucine, hypoxanthine, 4-aminohippuric acid, 5-hydroxylysine, and L-cystine appeared increased in the ADHD patients, whilegentisic acid and tryptophyl-phenylalanine were down-regulated in the patients with ADHD. We found that the plasma levels of all nine metabolites were able to discriminate the ADHD group from the control group. Levels of O-phosphoethanolamine, 4-aminohippuric acid, 5-hydroxylysine, L-cystine, tryptophyl-phenylalanine, and gentisic acid were significantly correlated with clinical ADHD symptoms. <b>Conclusions:</b> This study is the first to use the CIL-based LC-MS to profile ADHD plasma metabolites, and we identified nine novel metabolite biomarkers of ADHD.
DOI: 10.6084/m9.figshare.12220433
title: Supplementary Material for: Developing Smartphone-Based Objective Assessments of Physical Function in Rheumatoid Arthritis Patients: The PARADE Study

description: <b><i>Background:</i></b> Digital biomarkers that measure physical activity and mobility are of great interest in the assessment of chronic diseases such as rheumatoid arthritis, as it provides insights on patients’ quality of life that can be reliably compared across a whole population. <b><i>Objective:</i></b> To investigate the feasibility of analyzing iPhone sensor data collected remotely by means of a mobile software application in order to derive meaningful information on functional ability in rheumatoid arthritis patients. <b><i>Methods:</i></b> Two objective, active tasks were made available to the study participants: a wrist joint motion test and a walk test, both performed remotely and without any medical supervision. During these tasks, gyroscope and accelerometer time-series data were captured. Processing schemes were developed using machine learning techniques such as logistic regression as well as explicitly programmed algorithms to assess data quality in both tasks. Motion-specific features including wrist joint range of motion (ROM) in flexion-extension (for the wrist motion test) and gait parameters (for the walk test) were extracted from high quality data and compared with subjective pain and mobility parameters, separately captured via the application. <b><i>Results:</i></b> Out of 646 wrist joint motion samples collected, 289 (45%) were high quality. Data collected for the walk test included 2,583 samples (through 867 executions of the test) from which 651 (25%) were high quality. Further analysis of high-quality data highlighted links between reduced mobility and increased symptom severity. ANOVA testing showed statistically significant differences in wrist joint ROM between groups with light-moderate (220 participants) versus severe (36 participants) wrist pain (<i>p</i> &lt; 0.001) as well as in average step times between groups with slight versus moderate problems walking about (<i>p</i> &lt; 0.03). <b><i>Conclusion:</i></b> These findings demonstrate the potential to capture and quantify meaningful objective clinical information remotely using iPhone sensors and represent an early step towards the development of patient-centric digital endpoints for clinical trials in rheumatoid arthritis.
DOI: 10.6084/m9.figshare.12220433.v1
title: Supplementary Material for: Developing Smartphone-Based Objective Assessments of Physical Function in Rheumatoid Arthritis Patients: The PARADE Study

description: <b><i>Background:</i></b> Digital biomarkers that measure physical activity and mobility are of great interest in the assessment of chronic diseases such as rheumatoid arthritis, as it provides insights on patients’ quality of life that can be reliably compared across a whole population. <b><i>Objective:</i></b> To investigate the feasibility of analyzing iPhone sensor data collected remotely by means of a mobile software application in order to derive meaningful information on functional ability in rheumatoid arthritis patients. <b><i>Methods:</i></b> Two objective, active tasks were made available to the study participants: a wrist joint motion test and a walk test, both performed remotely and without any medical supervision. During these tasks, gyroscope and accelerometer time-series data were captured. Processing schemes were developed using machine learning techniques such as logistic regression as well as explicitly programmed algorithms to assess data quality in both tasks. Motion-specific features including wrist joint range of motion (ROM) in flexion-extension (for the wrist motion test) and gait parameters (for the walk test) were extracted from high quality data and compared with subjective pain and mobility parameters, separately captured via the application. <b><i>Results:</i></b> Out of 646 wrist joint motion samples collected, 289 (45%) were high quality. Data collected for the walk test included 2,583 samples (through 867 executions of the test) from which 651 (25%) were high quality. Further analysis of high-quality data highlighted links between reduced mobility and increased symptom severity. ANOVA testing showed statistically significant differences in wrist joint ROM between groups with light-moderate (220 participants) versus severe (36 participants) wrist pain (<i>p</i> &lt; 0.001) as well as in average step times between groups with slight versus moderate problems walking about (<i>p</i> &lt; 0.03). <b><i>Conclusion:</i></b> These findings demonstrate the potential to capture and quantify meaningful objective clinical information remotely using iPhone sensors and represent an early step towards the development of patient-centric digital endpoints for clinical trials in rheumatoid arthritis.
DOI: 10.6084/m9.figshare.12220367
title: GWAS results

description: GWAS significant associations SNPs and QTL results
DOI: 10.6084/m9.figshare.12220376
title: IBD map construction

description: A IBD map was constructed of contributions from the twenty-four founders onto the 1,404 progeny lines using a hidden Markov model (HMM) with several modifications on the study of Mott et al., (2000). In the modified HMM model, the hidden states are the progenitor IBD states, and the observed states are the SNP genotypic calls, which can be used undoubtedly to other multi-parental populations.
DOI: 10.6084/m9.figshare.12220361
title: Supplementary Material for: Adverse Drug Reactions during Real-Life Use of Direct Oral Anticoagulants in Italy: An Update Based on Data from the Italian National Pharmacovigilance Network

description: <b><i>Background:</i></b> The availability of direct oral anticoagulants (DOAC) in clinical practice has transformed the health care provided to patients for the prevention and treatment of thromboembolism. Safety and efficacy data guide clinicians in the choice of the drug used. To date, no evidence is available from head-to-head trials comparing different DOAC with regard to safety and efficacy; information is mainly derived from several meta-analyses and real-life studies. Conclusions from these studies are inconsistent and unsatisfactory. The evaluation of self-reported adverse drug reactions (ADR) available from databases of drug-regulatory agencies such as the Italian Medicines Agency (AIFA) pharmacovigilance database represents a novel aid to guide decision-making. <b><i>Objective:</i></b> To analyze potential suspected ADR of DOAC using a previously described risk index (RI) in daily clinical practice in Italy. <b><i>Methods:</i></b> The National Pharmacovigilance Network database (from the AIFA website) was searched in order to retrieve information on all ADR related to oral anticoagulants occurring from 2013 to 2018. The ADR RI for each drug was calculated, where an RI = 1 indicates a balance between the percentage of ADR share and the percentage of market share for each DOAC; and an RI &lt;1 indicates a rate of ADR lower than the rate of market share (safer DOAC). The following DOAC molecules were considered: dabigatran, rivaroxaban, apixaban, and edoxaban. <b><i>Results:</i></b> The results showed that rivaroxaban is the DOAC with the lowest RI among the 4 molecules available today in Italy. <b><i>Conclusions:</i></b> Based on the RI, we identified rivaroxaban as the DOAC having the best safety profile.
DOI: 10.6084/m9.figshare.12220376.v1
title: HMM script and demo for IBD map construction

description: A IBD map was constructed of contributions from the twenty-four founders onto the 1,404 progeny lines using a hidden Markov model (HMM) with several modifications on the study of Mott et al., (2000). In the modified HMM model, the hidden states are the progenitor IBD states, and the observed states are the SNP genotypic calls, which can be used undoubtedly to other multi-parental populations.
DOI: 10.6084/m9.figshare.12220349
title: gene expression data and eQTLs

description: gene expression quantifications and eQTL results of CUBIC
DOI: 10.6084/m9.figshare.12220316
title: Supplementary Table 2. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 2: Whole Rock Major and Trace Element Geochemistry.
DOI: 10.6084/m9.figshare.12220316.v1
title: Supplementary Table 2. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 2: Whole Rock Major and Trace Element Geochemistry.
DOI: 10.6084/m9.figshare.12220349.v2
title: gene expression data and eQTLs

description: gene expression quantifications and eQTL results of CUBIC
DOI: 10.6084/m9.figshare.12220313
title: Supplementary Table 1i: Titanites. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1i: Titanites.
DOI: 10.6084/m9.figshare.12220349.v1
title: gene expression

description: gene expression quantifications and eQTL results of CUBIC
DOI: 10.6084/m9.figshare.12220310
title: Supplementary Table 6: Geothermometry. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 6: Geothermometry.
DOI: 10.6084/m9.figshare.12220304
title: Supplementary Table 1a: Olivines. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1a: Olivines.
DOI: 10.6084/m9.figshare.12220307
title: Supplementary Table 7: Petrogenetic Modeling results. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 7: Petrogenetic Modeling results.
DOI: 10.6084/m9.figshare.12220310.v1
title: Supplementary Table 6: Geothermometry. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 6: Geothermometry.
DOI: 10.6084/m9.figshare.12220313.v1
title: Supplementary Table 1i: Titanites. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1i: Titanites.
DOI: 10.6084/m9.figshare.12220307.v1
title: Supplementary Table 7: Petrogenetic Modeling results. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 7: Petrogenetic Modeling results.
DOI: 10.6084/m9.figshare.12220298
title: Supplementary Table 1f: Chlorites. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1f: Chlorites.
DOI: 10.6084/m9.figshare.12220304.v1
title: Supplementary Table 1a: Olivines. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1a: Olivines.
DOI: 10.6084/m9.figshare.12220292
title: Supplementary Table 1h: Sepiolites. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1h: Sepiolites.
DOI: 10.6084/m9.figshare.12220295
title: Supplementary Table 1c: Clinopyroxenes. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1c: Clinopyroxenes.
DOI: 10.6084/m9.figshare.12220286
title: Supplementary Table 1j: Ilmenites. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1j: Ilmenites.
DOI: 10.6084/m9.figshare.12220289
title: Supplementary Table 1g: Epidotes. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1g: Epidotes.
DOI: 10.6084/m9.figshare.12220298.v1
title: Supplementary Table 1f: Chlorites. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1f: Chlorites.
DOI: 10.6084/m9.figshare.12220283
title: Supplementary Table 1b: Orthopyroxenes. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1b: Orthopyroxenes.
DOI: 10.6084/m9.figshare.12220286.v1
title: Supplementary Table 1j: Ilmenites. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1j: Ilmenites.
DOI: 10.6084/m9.figshare.12220292.v1
title: Supplementary Table 1h: Sepiolites. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1h: Sepiolites.
DOI: 10.6084/m9.figshare.12220295.v1
title: Supplementary Table 1c: Clinopyroxenes. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1c: Clinopyroxenes.
DOI: 10.6084/m9.figshare.12220289.v1
title: Supplementary Table 1g: Epidotes. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1g: Epidotes.
DOI: 10.6084/m9.figshare.12220274
title: Supplementary Table 3. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 3: Ion microprobe U–Th–Pb analytical data and derived ages for Atud complex, Eastern Desert of Egypt.
DOI: 10.6084/m9.figshare.12220277
title: Supplementary Table 1k: Micas. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1k: Micas.
DOI: 10.6084/m9.figshare.12220280
title: Supplementary Table 1d: Plagioclases. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1d: Plagioclases.
DOI: 10.6084/m9.figshare.12220283.v1
title: Supplementary Table 1b: Orthopyroxenes. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1b: Orthopyroxenes.
DOI: 10.6084/m9.figshare.12220280.v1
title: Supplementary Table 1d: Plagioclases. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1d: Plagioclases.
DOI: 10.6084/m9.figshare.12220268
title: Supplementary Table 1e: Amphiboles. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1e: Amphiboles.
DOI: 10.6084/m9.figshare.12220274.v1
title: Supplementary Table 3. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 3: Ion microprobe U–Th–Pb analytical data and derived ages for Atud complex, Eastern Desert of Egypt.
DOI: 10.6084/m9.figshare.12220277.v1
title: Supplementary Table 1k: Micas. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1k: Micas.
DOI: 10.6084/m9.figshare.12220262
title: Supplementary Table 4. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 4: Ion microprobe single zircon δ<sup>18</sup>O isotopic data for Atud complex, CED of Egypt.
DOI: 10.6084/m9.figshare.12220268.v1
title: Supplementary Table 1e: Amphiboles. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 1e: Amphiboles.
DOI: 10.6084/m9.figshare.12220262.v1
title: Supplementary Table 4. The Atud Gabbro–Diorite Complex: Glimpse of the Cryogenian Mixing, Assimilation, Storage, and Homogenization Zone beneath the Eastern Desert of Egypt

description: Supplementary Table 4: Ion microprobe single zircon δ<sup>18</sup>O isotopic data for Atud complex, CED of Egypt.
DOI: 10.6084/m9.figshare.12220253
title: InDels and structure variations of CUBIC

description: indel.sort.hmp.gz:InDels novel sequences.rar:novel sequencessv.imputation.hmp.zip:structure variations after imputationsvtyper1404Offspring_20160391.hmp.zip:structure variations before imputation
DOI: 10.6084/m9.figshare.12220253.v1
title: InDels anf structure variations of CUBIC

description: InDels and structure variations of CUBIC
DOI: 10.6084/m9.figshare.12220226.v1
title: 200knew.rar

description: 200K array of CUBIC population
DOI: 10.6084/m9.figshare.12220226.v2
title: 200knew.rar

description: 200K array of CUBIC population
DOI: 10.6084/m9.figshare.12220226.v3
title: 200knew.rar

description: 200K array of CUBIC population
DOI: 10.6084/m9.figshare.12220127
title: Information of maize CUBIC inbred lines

description: <b>Supplementary table 1.xlsx：Information of maize CUBIC inbred lines.</b><b>subpopulation.xlsx：This table contains information of divergent sub populations shaped by short-term selection of maize CUBIC inbred lines. L1-L4 indicated four small sub-groups within the entire population, consisting of 54 to 70 individuals each. The remainder of the lines formed one large group that was randomly derived from the 24 founders without apparent selection，which was regarded as Ref (the reference panel). </b>
DOI: 10.6084/m9.figshare.12220127.v1
title: Supplementary table 1.xlsx

description: <b>Supplementary Table 1. </b>Information of maize CUBIC inbred lines
DOI: 10.6084/m9.figshare.12220127.v3
title: Information of maize CUBIC inbred lines

description: <b>Supplementary table 1.xlsx：Information of maize CUBIC inbred lines.</b><b>subpopulation.xlsx：This table contains information of divergent sub populations shaped by short-term selection of maize CUBIC inbred lines. L1-L4 indicated four small sub-groups within the entire population, consisting of 54 to 70 individuals each. The remainder of the lines formed one large group that was randomly derived from the 24 founders without apparent selection，which was regarded as Ref (the reference panel). </b>
DOI: 10.6084/m9.figshare.12220127.v2
title: Information of maize CUBIC inbred lines

description: <b>Supplementary Table 1. </b>Information of maize CUBIC inbred lines
DOI: 10.6084/m9.figshare.12219998
title: Sleep and erectile dysfunction database

description: Poor sleep quality can cause localized endothelial dysfunction, leading to erectile dysfunction (ED). However, there is limited evidence on this potential relationship in a young population. <br>
DOI: 10.6084/m9.figshare.12219944
title: DataAssimilation_0.56deg_ens64_ARCTASB_20080629-20080721.nc

description: Data assimilation analysis along the ARCTAS-B flight track
DOI: 10.6084/m9.figshare.12219944.v1
title: DataAssimilation_0.56deg_ens64_ARCTASB_20080629-20080721.nc

description: Data assimilation analysis along the ARCTAS-B flight track
DOI: 10.6084/m9.figshare.12219920
title: ModelSimulation_0.56deg_ARCTASB_20080629-20080721.nc

description: Model simulation output along the ARCTAS-B flight track