cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3808125
title: Supplementary Material for: The Effect of Age on Characteristics and Mortality of Intracerebral Hemorrhage in the Oldest-Old

description: <i>Background:</i> Incidence of acute intracerebral hemorrhage (ICH) increases with age, but there is a lack of information about ICH characteristics in the oldest-old (age ≥85 years). In particular, there is a need for information about hematoma volume, which is included in most clinical scales for prediction of mortality in ICH patients. Many of these scales also assume that, independent of ICH characteristics, the oldest-old have a higher mortality than younger elderly patients (age 65-74 years). However, supporting evidence from cohort studies is limited. We investigated ICH characteristics of oldest-old subjects compared to young (&lt;65 years), young-old (65-74 years) and old-old (75-84 years) subjects. We also investigated whether age is an independent mortality predictor in elderly (age ≥65 years) subjects with acute ICH.<i>Methods:</i> We retrospectively collected clinical and neuroimaging data of 383 subjects (age 34-104 years) with acute supratentorial primary ICH who were admitted to an Italian Stroke Unit (SU) between October 2007 and December 2014. Measured ICH characteristics included hematoma location, volume and intraventricular extension of hemorrhage on admission CT scan; admission Glasgow Coma Scale ≤8 and hematoma expansion (HE) measured on follow-up CT-scans obtained after 24 h. General linear models and logistic models were used to investigate the association of age with ICH characteristics. These models were adjusted for pre-admission characteristics, hematoma location and time from symptom onset to admission CT scan. Limited to elderly subjects, Cox models were used to investigate the association of age with in-SU and 1-year mortality: the model for in-SU mortality adjusted for pre-admission and ICH admission characteristics and the model for 1-year mortality additionally adjusted for functional status and disposition at SU discharge. <i>Results:</i> Independent of pre-admission characteristics, hematoma location and time from symptom onset to admission CT-scan, oldest-old subjects had the highest admission hematoma volume (p &lt; 0.01). Age was unrelated to all other ICH characteristics including HE. In elderly patients, multivariable adjusted risk of in-SU and 1-year mortality did not vary across age categories. <i>Conclusions:</i> Oldest-old subjects with acute supratentorial ICH have higher admission hematoma volume than young and young-old subjects but do not differ for other ICH characteristics. When taking into account confounding from ICH characteristics, risk of in-SU and 1-year mortality in elderly subjects with acute supratentorial ICH does not differ across age categories. Our findings question use of age as an independent criterion for stratification of mortality risk in elderly subjects with acute ICH.
DOI: 10.6084/m9.figshare.3808119.v1
title: Soil CO2 Efflux Dataset

description: Warming impacts on soil CO<sub>2 </sub>efflux of an Asian monsoon forest: experimental processes and high resolution datasets<br>This is a part of a ongoing project for evaluation of global warming impacts on soil carbon dynamics of Japan forest ecosystems. From the end of 2008, we started the soil warming experiment in a 55-year-old evergreen broad-leaved forest in the boundary between subtropical and warm-temperate biomes in southern Japan. We used carbon infrared heaters to increase soil temperature at 5 cm depth for about 2.5°C and continuous recorded CO<sub>2</sub> emission from the soil surface using a multichannel automated chamber system. Here we present the experimental processes and datasets of CO<sub>2</sub> emission rate, soil temperature and soil moisture from the control, trenched and warmed trenched plots, respectively. Long-term and high resolution make the datasets meaningful for the coupled climate-ecosystem models to tune the dynamic as well as mean parameters of soil organic carbon decomposition for their future predictions.<br> <b>No.</b> <b>Protocol</b> <b>Dataset</b> <b>Data interval</b> <b>Principal investigator</b> 1 Pre-warming (Stage-0) Efflux_0 Environment_0 20 s 30 min Liang, Naishen (liang@nies.go.jp) 2 Soil warming (Stage-1) Efflux_1 Environment_1 20 s 30 min Liang, Naishen (liang@nies.go.jp) 3 Soil warming (Stage-2) Efflux_2 Environment_2 5 s 30 min Liang, Naishen (liang@nies.go.jp) 4 Soil warming (Stage-3) Efflux_3 Environment_3 10 s 30 min Liang, Naishen (liang@nies.go.jp) When using these data, please cite the original publications: 1. Naishen LIANG; Munemasa TERAMOTO; Masahiro TAKAGI; Jiye ZENG (2016) Warming impacts on soil CO<sub>2</sub> efflux of an Asian monsoon forest: experiment process and high resolution datasets. Scientific Data x: xxxx 2. Munemasa TERAMOTO; Naishen LIANG; Masahiro TAKAGI; Jiye ZENG; John GRACE (2016) Warming impacts on soil CO<sub>2</sub> efflux of an Asian monsoon forest: experiment process and high resolution datasets. Scientific Reports x: xxxx Additionally, please cite the Figshare data package: Naishen LIANG; Munemasa TERAMOTO; Masahiro TAKAGI; Jiye ZENG (2016) Data from: Warming impacts on soil CO<sub>2</sub> efflux of an Asian monsoon forest: experiment process and high resolution datasets. Figshare xxxx
DOI: 10.6084/m9.figshare.3808119.v3
title: Soil CO2 Efflux Dataset

description: Warming impacts on soil CO<sub>2 </sub>efflux of an Asian monsoon forest: experimental processes and high resolution datasets<br>This is a part of a ongoing project for evaluation of global warming impacts on soil carbon dynamics of Japan forest ecosystems. From the end of 2008, we started the soil warming experiment in a 55-year-old evergreen broad-leaved forest in the boundary between subtropical and warm-temperate biomes in southern Japan. We used carbon infrared heaters to increase soil temperature at 5 cm depth for about 2.5°C and continuous recorded CO<sub>2</sub> emission from the soil surface using a multichannel automated chamber system. Here we present the experimental processes and datasets of CO<sub>2</sub> emission rate, soil temperature and soil moisture from the control, trenched and warmed trenched plots, respectively. Long-term and high resolution make the datasets meaningful for the coupled climate-ecosystem models to tune the dynamic as well as mean parameters of soil organic carbon decomposition for their future predictions.<br> <b>No.</b> <b>Protocol</b> <b>Dataset</b> <b>Data interval</b> <b>Principal investigator</b> 1 Pre-warming (Stage-0) Efflux_0 Environment_0 20 s 30 min Liang, Naishen (liang@nies.go.jp) 2 Soil warming (Stage-1) Efflux_1 Environment_1 20 s 30 min Liang, Naishen (liang@nies.go.jp) 3 Soil warming (Stage-2) Efflux_2 Environment_2 5 s 30 min Liang, Naishen (liang@nies.go.jp) 4 Soil warming (Stage-3) Efflux_3 Environment_3 10 s 30 min Liang, Naishen (liang@nies.go.jp) When using these data, please cite the original publications: 1. Naishen LIANG; Munemasa TERAMOTO; Masahiro TAKAGI; Jiye ZENG (2016) Warming impacts on soil CO<sub>2</sub> efflux of an Asian monsoon forest: experiment process and high resolution datasets. Scientific Data x: xxxx 2. Munemasa TERAMOTO; Naishen LIANG; Masahiro TAKAGI; Jiye ZENG; John GRACE (2016) Warming impacts on soil CO<sub>2</sub> efflux of an Asian monsoon forest: experiment process and high resolution datasets. Scientific Reports x: xxxx Additionally, please cite the Figshare data package: Naishen LIANG; Munemasa TERAMOTO; Masahiro TAKAGI; Jiye ZENG (2016) Data from: Warming impacts on soil CO<sub>2</sub> efflux of an Asian monsoon forest: experiment process and high resolution datasets. Figshare xxxx
DOI: 10.6084/m9.figshare.3808116
title: No diagnostic utility of antibody patterns against <i>Klebsiella pneumoniae</i> capsular serotypes in patients with axial spondyloarthritis vs. patients with non-specific low back pain: a cross-sectional study

description: <b>Objectives</b>: To investigate whether antibody response patterns against <i>Klebsiella pneumoniae</i> capsular serotypes can discriminate patients with axial spondyloarthritis (axSpA) from patients with non-specific low back pain (LBP). <b>Method</b>: Immunoglobulin (Ig)G and IgA antibodies against <i>K. pneumoniae</i> capsular serotypes K2, K26, K36, and K50 were measured, and antibody seropositivity compared between groups and analysed for patient correlation in five different groups: (a) 96 patients fulfilling the Assessment of SpondyloArthritis International Society (ASAS) classification criteria for axSpA; (b) 38 patients with either a positive magnetic resonance imaging (MRI) scan as defined by ASAS or a positive human leucocyte antigen (HLA)-B27 status plus one clinical SpA feature, characterized as ‘non-axSpA’; (c) 82 non-specific LBP patients; (d) 40 healthy blood donors and (e) 43 patients with diagnosed ankylosing spondylitis (AS) served as the negative and positive control groups. <b>Results</b>: There was no difference in IgG and IgA seropositivity against all serotypes between the axSpA, non-axSpA, and LBP groups. No significant correlations were found between anti-<i>Klebsiella</i> antibodies and age, gender, HLA-B27, or high-sensitivity C-reactive protein (hsCRP). IgG seropositivity against K50 was more frequent in AS (25.6%) than in axSpA (13.5%, p <b>Conclusions</b>: The antibody patterns against <i>K. pneumoniae</i> serotypes K2, K26, K36, and K50 did not discriminate between early axSpA and non-specific LBP.
DOI: 10.6084/m9.figshare.3808116.v1
title: No diagnostic utility of antibody patterns against <i>Klebsiella pneumoniae</i> capsular serotypes in patients with axial spondyloarthritis vs. patients with non-specific low back pain: a cross-sectional study

description: <b>Objectives</b>: To investigate whether antibody response patterns against <i>Klebsiella pneumoniae</i> capsular serotypes can discriminate patients with axial spondyloarthritis (axSpA) from patients with non-specific low back pain (LBP). <b>Method</b>: Immunoglobulin (Ig)G and IgA antibodies against <i>K. pneumoniae</i> capsular serotypes K2, K26, K36, and K50 were measured, and antibody seropositivity compared between groups and analysed for patient correlation in five different groups: (a) 96 patients fulfilling the Assessment of SpondyloArthritis International Society (ASAS) classification criteria for axSpA; (b) 38 patients with either a positive magnetic resonance imaging (MRI) scan as defined by ASAS or a positive human leucocyte antigen (HLA)-B27 status plus one clinical SpA feature, characterized as ‘non-axSpA’; (c) 82 non-specific LBP patients; (d) 40 healthy blood donors and (e) 43 patients with diagnosed ankylosing spondylitis (AS) served as the negative and positive control groups. <b>Results</b>: There was no difference in IgG and IgA seropositivity against all serotypes between the axSpA, non-axSpA, and LBP groups. No significant correlations were found between anti-<i>Klebsiella</i> antibodies and age, gender, HLA-B27, or high-sensitivity C-reactive protein (hsCRP). IgG seropositivity against K50 was more frequent in AS (25.6%) than in axSpA (13.5%, p <b>Conclusions</b>: The antibody patterns against <i>K. pneumoniae</i> serotypes K2, K26, K36, and K50 did not discriminate between early axSpA and non-specific LBP.
DOI: 10.6084/m9.figshare.3808113
title: Datasheet_Version_August_2016.xlsx

description: This file contains data on our assessment process that we employed to select patients for our dialysis programme using the A4R approach.
DOI: 10.6084/m9.figshare.3808113.v1
title: Datasheet_Version_August_2016.xlsx

description: This file contains data on our assessment process that we employed to select patients for our dialysis programme using the A4R approach.
DOI: 10.6084/m9.figshare.3808032
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4107_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808032.v1
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4107_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808029
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4123_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808029.v1
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4123_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808026
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4115_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808026.v1
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4115_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808023
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4111_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808023.v1
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4111_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808020
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4119_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808020.v1
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4119_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808017
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4103_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808017.v1
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4103_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808014
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4079_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808014.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4079_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808011
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4087_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808008
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4099_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808011.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4087_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808008.v1
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4099_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808005
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4095_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808002
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4091_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808005.v1
title: 20150724_QE5_UPLC8_RJC_COLLAB_DB_4095_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807999
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4083_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3808002.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4091_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807999.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4083_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807996
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4075_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807996.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4075_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807993
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4059_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807993.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4059_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807990
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4063_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807990.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4063_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807987
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4071_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807987.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4071_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.26025/1912/26159
title: Increased typhoon activity in the Pacific deep tropics driven by Little Ice Age circulation changes

description: The instrumental record reveals that tropical cyclone activity is sensitive to oceanic and atmospheric variability on inter-annual and decadal scales. However, our understanding of climate’s influence on tropical cyclone behavior is restricted by the short historical record and sparse prehistorical reconstructions, particularly in the western North Pacific where coastal communities suffer loss of life and livelihood from typhoons annually. Here we reconstruct three millennia of deep tropical North Pacific cyclogenesis and compare with other records to explore past regional typhoon dynamics. These records demonstrate low baseline activity prior to 1350 C.E. followed by a rapid culmination in activity during the Little Ice Age. This pattern is concurrent with hydroclimate proxy variability, suggesting a centennial-scale link between Pacific hydroclimate and tropical cyclone climatology. Using an ensemble of global climate models, we demonstrate that migration of the Pacific Walker circulation and variability in two Pacific climate modes during the Little Ice Age contributed to enhanced tropical cyclone activity in the tropical western North Pacific. Changes to Walker Circulation and expansion of the tropics projected for the next century invert Little Ice Age hydroclimate trends, potentially reducing typhoon activity in the deep tropical Pacific.
DOI: 10.6084/m9.figshare.3807984
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4067_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807981
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4055_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807981.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4055_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807978
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4035_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807978.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4035_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807975
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4051_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807975.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4051_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807972
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4047_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807972.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4047_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807969
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4031_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807969.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4031_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807966
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4039_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807963
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4043_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807966.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4039_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807963.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4043_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807960
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4019_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807960.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4019_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807957
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4023_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807957.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4023_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807954
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4027_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
DOI: 10.6084/m9.figshare.3807954.v1
title: 20150722_QE5_UPLC8_RJC_COLLAB_DB_4027_01.raw

description: Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls