cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6870827.v1
title: Supplementary Material for: Serum Uric Acid Levels as an Indicator for Metabolically Unhealthy Obesity in Children and Adolescents

description: <b><i>Background:</i></b> Metabolically healthy obesity (MHO) refers to those individuals who do not show cardiometabolic abnormalities. Our aim was to identify potential clinical and metabolic indicators that may help to distinguish between metabolically healthy and unhealthy individuals amongst overweight and obese children and adolescents. <b><i>Methods:</i></b> The study involved 246 overweight/obese and 212 normal-weight individuals enrolled in the LIFE Child study, aged between 6 and 18 years. Overweight/obese individuals without cardiovascular risk factors (fasting serum lipids, blood pressure, and glucose) were classified as MHO. Individuals meeting 1 or more criteria of cardiovascular risk factors were classified as metabolically unhealthy obesity (MUO). <b><i>Results:</i></b> Among the 246 overweight/obese individuals, 173 (70%) were MHO and 73 (30%) were MUO. The MHO individuals were younger, more likely to be male, and had lower BMI SDS. In the logistic regression models, uric acid (UA) SDS (OR 1.61, 95% CI 1.1–2.6, <i>p</i> = 0.004), waist circumference SDS (OR 2.50, 95% CI 1.2–6.4, <i>p</i> = 0.017), and C-peptide (OR 4.05, 95% CI 3.5–91, <i>p</i> = 0.003) were significant indicators of MUO. <b><i>Conclusion:</i></b> Our results suggest that nearly one-third of overweight/obese children are already identified as MUO. Serum levels of UA can be used as an indicator of unhealthy obesity in youth, where lower levels of UA indicate a lower risk and higher levels suggest a higher risk of MUO. We note that the relevance of identifying potential indicators remains the first most important step in future clinical research.
DOI: 10.7910/dvn/1t8n3n/qsjdj7
title: 1-29.25V

description: sigma=1.25Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/cz5syo
title: 1-20.25V

description: sigma=1.25Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.6084/m9.figshare.6870806
title: stock market indices

description: This data series of stock market indices includes FTSE 100(FTSE), AEX Index(AEX), DAX(GDAXI) and Straits Times Index(STI), from January 2007 to December 2017. And all these data is from a third party, downloaded with R software from 'Yahoo finance'.
DOI: 10.6084/m9.figshare.6870803
title: Supplementary Material for: Estimating the Evolution of Disease in the Parkinson’s Progression Markers Initiative

description: Parkinson’s disease is the second most common neurological disease and affects about 1% of persons over the age of 60 years. Due to the lack of approved surrogate markers, confirmation of the disease still requires postmortem examination. Identifying and validating biomarkers are essential steps toward improving clinical diagnosis and accelerating the search for therapeutic drugs to ameliorate disease symptoms. Until recently, statistical analysis of multicohort longitudinal studies of neurodegenerative diseases has usually been restricted to a single analysis per outcome with simple comparisons between diagnostic groups. However, an important methodological consideration is to allow the modeling framework to handle multiple outcomes simultaneously and consider the transitions between diagnostic groups. This enables researchers to monitor multiple trajectories, correctly account for the correlation among biomarkers, and assess how these associations may jointly change over the long-term course of disease. In this study, we apply a latent time joint mixed-effects model to study biomarker progression and disease dynamics in the Parkinson’s Progression Markers Initiative (PPMI) and examine which markers might be most informative in the earliest phases of disease. The results reveal that, even though diagnostic category was not included in the model, it seems to accurately reflect the temporal ordering of the disease state consistent with diagnosis categorization at baseline. In addition, results indicated that the specific binding ratio on striatum and the total Unified Parkinson’s Disease Rating Scale (UPDRS) show high discriminability between disease stages. An extended latent time joint mixed-effects model with heterogeneous latent time variance also showed improvement in model fit in a simulation study and when applied to real data.
DOI: 10.7910/dvn/1t8n3n/beb6wy
title: 1-2.25V

description: sigma=1.25Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/iooacj
title: 1-4.25V

description: sigma=1.25Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.6084/m9.figshare.6870803.v2
title: Supplementary Material for: Estimating the Evolution of Disease in the Parkinson’s Progression Markers Initiative

description: Parkinson’s disease is the second most common neurological disease and affects about 1% of persons over the age of 60 years. Due to the lack of approved surrogate markers, confirmation of the disease still requires postmortem examination. Identifying and validating biomarkers are essential steps toward improving clinical diagnosis and accelerating the search for therapeutic drugs to ameliorate disease symptoms. Until recently, statistical analysis of multicohort longitudinal studies of neurodegenerative diseases has usually been restricted to a single analysis per outcome with simple comparisons between diagnostic groups. However, an important methodological consideration is to allow the modeling framework to handle multiple outcomes simultaneously and consider the transitions between diagnostic groups. This enables researchers to monitor multiple trajectories, correctly account for the correlation among biomarkers, and assess how these associations may jointly change over the long-term course of disease. In this study, we apply a latent time joint mixed-effects model to study biomarker progression and disease dynamics in the Parkinson’s Progression Markers Initiative (PPMI) and examine which markers might be most informative in the earliest phases of disease. The results reveal that, even though diagnostic category was not included in the model, it seems to accurately reflect the temporal ordering of the disease state consistent with diagnosis categorization at baseline. In addition, results indicated that the specific binding ratio on striatum and the total Unified Parkinson’s Disease Rating Scale (UPDRS) show high discriminability between disease stages. An extended latent time joint mixed-effects model with heterogeneous latent time variance also showed improvement in model fit in a simulation study and when applied to real data.
DOI: 10.7910/dvn/1t8n3n/4ntvzx
title: 1-26.25V

description: sigma=1.25Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.6084/m9.figshare.6870803.v1
title: Supplementary Material for: Estimating the Evolution of Disease in the Parkinson’s Progression Markers Initiative

description: Parkinson’s disease is the second most common neurological disease and affects about 1% of persons over the age of 60 years. Due to the lack of approved surrogate markers, confirmation of the disease still requires postmortem examination. Identifying and validating biomarkers are essential steps toward improving clinical diagnosis and accelerating the search for therapeutic drugs to ameliorate disease symptoms. Until recently, statistical analysis of multicohort longitudinal studies of neurodegenerative diseases has usually been restricted to a single analysis per outcome with simple comparisons between diagnostic groups. However, an important methodological consideration is to allow the modeling framework to handle multiple outcomes simultaneously and consider the transitions between diagnostic groups. This enables researchers to monitor multiple trajectories, correctly account for the correlation among biomarkers, and assess how these associations may jointly change over the long-term course of disease. In this study, we apply a latent time joint mixed-effects model to study biomarker progression and disease dynamics in the Parkinson’s Progression Markers Initiative (PPMI) and examine which markers might be most informative in the earliest phases of disease. The results reveal that, even though diagnostic category was not included in the model, it seems to accurately reflect the temporal ordering of the disease state consistent with diagnosis categorization at baseline. In addition, results indicated that the specific binding ratio on striatum and the total Unified Parkinson’s Disease Rating Scale (UPDRS) show high discriminability between disease stages. An extended latent time joint mixed-effects model with heterogeneous latent time variance also showed improvement in model fit in a simulation study and when applied to real data.
DOI: 10.15468/z8q9d2
title: Two new fossil wasps (Insecta: Hymenoptera: Apocrita) from northeastern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Li, LongFeng, Shih, ChungKun (2014): Two new fossil wasps (Insecta: Hymenoptera: Apocrita) from northeastern China. Journal of Natural History 49 (13): 829-840, DOI: 10.1080/00222933.2014.953223
DOI: 10.7910/dvn/1t8n3n/15cbar
title: 1-31.25V

description: sigma=1.25Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.6084/m9.figshare.6870788
title: Data and R scripts of "Towards the development of general rules describing landscape heterogeneity-multifunctionality relationships"data from "Towards the development of general rules describing landscape heterogeneity-multifunctionality relationships"

description: Associated data of the study "Towards the development of general rules describing landscape heterogeneity-multifunctionality relationships" (van der Plas et al, Journal of Applied Ecology).<br>Files include:- datasets on ecosystem functions in 150 Biodiversity exploratories plots- data on abiotic factors in 150 Biodiversity Exploratories plots- R scripts to analyse the above data- R scripts to investigate heterogeneity-multifunctionality relationships with artificial data
DOI: 10.15468/55ffp7
title: Two new nematodes, Pseudelzalia longiseta gen. nov., sp. nov. and Paramonohystera sinica sp. nov. (Monhysterida: Xyalidae), from sediment in the East China Sea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yu, Tingting, Xu, Kuidong (2014): Two new nematodes, Pseudelzalia longiseta gen. nov., sp. nov. and Paramonohystera sinica sp. nov. (Monhysterida: Xyalidae), from sediment in the East China Sea. Journal of Natural History 49 (9): 509-526, DOI: 10.1080/00222933.2014.953224
DOI: 10.7910/dvn/1t8n3n/rnyhpb
title: 1-45.25V

description: sigma=1.25Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.6084/m9.figshare.6870758
title: Freshwater ostracods (Crustacea) from Tiantong National Forest Park and Dongqian Lake, eastern China, with descriptions of two new species

description: In this study, 192 samples were collected and analyzed from diverse water bodies in the Tiantong National Forest Park and Dongqian lake in Zhejiang Province, China. Twenty living ostracod species were identified, belonging to four families, eight subfamilies and 15 genera. Among them, two species are new, belonging to the genera <i>Ilyocypris</i> and <i>Schellencandona</i>; seven species, including <i>Dolerocypris ikeyai</i> Smith and Kamiya, 2006, <i>Pseudocandona abei</i> Smith and Janz, 2008, <i>Stenocypris hirutai</i> Smith and Kamiya, 2006, <i>S. viridis</i> Okubo, 1990, <i>Tanycypris alfonsi</i> Nagler et al., 2014, <i>T. centa</i> Chang et al., 2012 and <i>Vestalenula cornelia</i> Smith et al., 2006, are new records for China; nine species are reported only from Asia: <i>Candonopsis (Candonopsis) transgrediens</i> Brehm, 1923, <i>Chrissia dongqianhuensis</i> Kong et al., 2014, <i>Dolerocypris ikeyai</i> Smith and Kamiya, 2006, <i>Ilyocypris dui</i> n. sp., <i>Pseudocandona abei</i> Smith and Janz, 2008, <i>Schellencandona dui</i> n. sp., <i>Stenocypris hirutai</i> Smith and Kamiya, 2006, <i>S. viridis</i> Okubo, 1990 and <i>Vestalenula cornelia</i> Smith et al., 2006. Of the above species, the two new species, <i>Schellencandona dui</i> n. sp. and <i>Ilyocypris dui</i> n. sp., are described and illustrated, and <i>Stenocypris viridis</i> is re-described. www.zoobank.org/urn:lsid:zoobank.org:pub:2D679051-CBA2-4B09-BCF0-E0152EBC2694
DOI: 10.6084/m9.figshare.6870788.v1
title: Data and R scripts of "Towards the development of general rules describing landscape heterogeneity-multifunctionality relationships"

description: Associated data of the study "Towards the development of general rules describing landscape heterogeneity-multifunctionality relationships" (van der Plas et al, Journal of Applied Ecology).<br>Files include:- datasets on ecosystem functions in 150 Biodiversity exploratories plots- data on abiotic factors in 150 Biodiversity Exploratories plots- R scripts to analyse the above data- R scripts to investigate heterogeneity-multifunctionality relationships with artificial data
DOI: 10.7910/dvn/1t8n3n/3fsgz5
title: 1-24.25V

description: sigma=1.25Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.6084/m9.figshare.6870758.v1
title: Freshwater ostracods (Crustacea) from Tiantong National Forest Park and Dongqian Lake, eastern China, with descriptions of two new species

description: In this study, 192 samples were collected and analyzed from diverse water bodies in the Tiantong National Forest Park and Dongqian lake in Zhejiang Province, China. Twenty living ostracod species were identified, belonging to four families, eight subfamilies and 15 genera. Among them, two species are new, belonging to the genera <i>Ilyocypris</i> and <i>Schellencandona</i>; seven species, including <i>Dolerocypris ikeyai</i> Smith and Kamiya, 2006, <i>Pseudocandona abei</i> Smith and Janz, 2008, <i>Stenocypris hirutai</i> Smith and Kamiya, 2006, <i>S. viridis</i> Okubo, 1990, <i>Tanycypris alfonsi</i> Nagler et al., 2014, <i>T. centa</i> Chang et al., 2012 and <i>Vestalenula cornelia</i> Smith et al., 2006, are new records for China; nine species are reported only from Asia: <i>Candonopsis (Candonopsis) transgrediens</i> Brehm, 1923, <i>Chrissia dongqianhuensis</i> Kong et al., 2014, <i>Dolerocypris ikeyai</i> Smith and Kamiya, 2006, <i>Ilyocypris dui</i> n. sp., <i>Pseudocandona abei</i> Smith and Janz, 2008, <i>Schellencandona dui</i> n. sp., <i>Stenocypris hirutai</i> Smith and Kamiya, 2006, <i>S. viridis</i> Okubo, 1990 and <i>Vestalenula cornelia</i> Smith et al., 2006. Of the above species, the two new species, <i>Schellencandona dui</i> n. sp. and <i>Ilyocypris dui</i> n. sp., are described and illustrated, and <i>Stenocypris viridis</i> is re-described. www.zoobank.org/urn:lsid:zoobank.org:pub:2D679051-CBA2-4B09-BCF0-E0152EBC2694
DOI: 10.7910/dvn/1t8n3n/zi1h56
title: 1-50.25V

description: sigma=1.25Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/f1lsyz
title: 1-35.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/sh8fcm
title: 1-29.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/t5zrts
title: 1-10.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/h9lasf
title: 1-25.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/qs0rgk
title: 1-41.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/7uzcut
title: 1-3.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.5281/zenodo.3929684
title: bbarres/SuMoRe: Supporting data and code for: Picture of Plant Protection Products resistance monitoring over the world: Between diversity and complementarity

description: Final release before submission to PMS
DOI: 10.7910/dvn/1t8n3n/f5hsfg
title: 1-52.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.15468/39ebdg
title: The first Hapalotremus Simon, 1903 (Araneae: Theraphosidae) from Argentina: description and natural history of Hapalotremus martinorum sp. nov.

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cavallo, Patricio E., Ferretti, Nelson E. (2014): The first Hapalotremus Simon, 1903 (Araneae: Theraphosidae) from Argentina: description and natural history of Hapalotremus martinorum sp. nov. Journal of Natural History 49 (15): 873-887, DOI: 10.1080/00222933.2014.953226
DOI: 10.7910/dvn/1t8n3n/vrlnie
title: 1-47.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/dj3did
title: 1-2.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/hbyl8f
title: 1-5.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.15468/jn96qs
title: New genera and species of Urothoidae (Amphipoda) from the Brazilian deep sea, with the re-assignment of Pseudurothoe and Urothopsis to Phoxocephalopsidae

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sittrop, Daniela J. P., Serejo, Cristiana S., Souza-Filho, Jesser F., Senna, André R. (2014): New genera and species of Urothoidae (Amphipoda) from the Brazilian deep sea, with the re-assignment of Pseudurothoe and Urothopsis to Phoxocephalopsidae. Journal of Natural History 49 (9): 527-552, DOI: 10.1080/00222933.2014.953227
DOI: 10.15468/yjwja7
title: New species of Notophthiracarus (Acari: Oribatida: Phthiracaroidea) from Tanzania

description: This dataset contains the digitized treatments in Plazi based on the original journal article Niedbała, Wojciech, Starý, Josef (2014): New species of Notophthiracarus (Acari: Oribatida: Phthiracaroidea) from Tanzania. Journal of Natural History 49 (15): 905-914, DOI: 10.1080/00222933.2014.976668
DOI: 10.7910/dvn/1t8n3n/6qpuzg
title: 1-17.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.7910/dvn/1t8n3n/13ra6q
title: 1-49.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.6084/m9.figshare.6870590.v1
title: Identification of Cordycepin Biosynthesis-related Genes Through de novo Transcriptome Assembly and Analysis of Cordyceps cicadae

description: Supplementary materials
DOI: 10.7910/dvn/1t8n3n/tuom84
title: 1-45.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.15468/snparj
title: Cretessenia roccamenaica nov. sp. (Acari: Prostigmata: Chyzeriidae: Chyzeriinae) from Sicily, Italy

description: This dataset contains the digitized treatments in Plazi based on the original journal article Haitlinger, Rszard, Šundić, Miloje (2018): Cretessenia roccamenaica nov. sp. (Acari: Prostigmata: Chyzeriidae: Chyzeriinae) from Sicily, Italy. Linzer biologische Beiträge 50 (1): 421-425, DOI: http://doi.org/10.5281/zenodo.4004231
DOI: 10.6084/m9.figshare.6870590.v2
title: Supplementary materials of Identification of Cordycepin Biosynthesis-related Genes Through de novo Transcriptome Assembly and Analysis of Cordyceps cicadae

description: Supplementary materials
DOI: 10.7910/dvn/1t8n3n/xwbjjm
title: 1-33.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.6084/m9.figshare.6870548
title: Sodium selenite inhibits deoxynivalenol-induced injury in GPX1-knockdown porcine splenic lymphocytes in culture.zip

description: oxidative stress biomarker responses
DOI: 10.6084/m9.figshare.6870548.v1
title: Sodium selenite inhibits deoxynivalenol-induced injury in GPX1-knockdown porcine splenic lymphocytes in culture.zip

description: oxidative stress biomarker responses
DOI: 10.7910/dvn/1t8n3n/k8x1ws
title: 1-58.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.6084/m9.figshare.6870440
title: MOESM7 of Image-based methods for phenotyping growth dynamics and fitness components in Arabidopsis thaliana

description: Additional file 7: Table S1. List of the 451 accessions phenotyped (n = 2), with measured and estimated traits, and fitted model parameters of Eq. 1.
DOI: 10.6084/m9.figshare.6870590.v3
title: Supplementary materials of Identification of Cordycepin Biosynthesis-related Genes Through de novo Transcriptome Assembly and Analysis of Cordyceps cicadae

description: Supplementary materials
DOI: 10.7910/dvn/1t8n3n/ctvdzx
title: 1-18.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;
DOI: 10.6084/m9.figshare.6870440.v1
title: MOESM7 of Image-based methods for phenotyping growth dynamics and fitness components in Arabidopsis thaliana

description: Additional file 7: Table S1. List of the 451 accessions phenotyped (n = 2), with measured and estimated traits, and fitted model parameters of Eq. 1.
DOI: 10.7910/dvn/1t8n3n/vnupkf
title: 1-54.5V

description: sigma=1.5Volts; This is a FITS file with 1 (primary) HDU. The following recognized metadata keys have been found in the FITS file: NAXIS2; NAXIS; NAXIS1; NAXIS0;