cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5dh1s
title: MassIVE MSV000084032 - GNPS_GC_Metabolomics_Workbench_ST000396_Lung Cancer Plasma Discovery
title: Recently, major efforts have been directed toward early detection of lung cancer through low-dose computed tomography (LDCT) scanning. Data from the National Lung Screening Trial (NLST) suggest that yearly screening with thoracic LDCT scanning for high-risk current and former smokers reduces lung cancer mortality by 20% and total mortality by 7%. However, issues including indeterminate nodules detected by LDCT and radiation exposure impact the practicality of LDCT-based screening on a national and global basis. A blood-based biomarker or multiplexed marker panel that could complement LDCT would represent a major advance in implementing lung cancer screening. Efforts to develop blood-based biomarkers for lung cancer early detection using a variety of methodologies are currently ongoing. Proteomic studies have led to the identification of several candidate markers including pro-surfactantproteinB(pro-SFTPB), a target of a lineage-survival oncogene in lung cancer, NKX2-1.Validation studies using blood samples collected at the time of LDCT screening for lung cancer substantiated the performance of pro-SFTPB. Multivariable logistic regression models were used to evaluate the predictive ability of pro-SFTPB. The area under the curve (AUC) values of the full model with and without pro-SFTPB were 0.741 (95% CI, 0.696 to 0.783) and 0.669 (95%CI, 0.620 to 0.717), respectively (difference in AUC, P_.001). Single markers are unlikely to have sufficient performance for implementation in a screening setting, hence the need to explore several discovery platforms to identify markers that provide complementary performance. Metabolomics represents a global unbiased approach to the profiling of small molecules and has been established as a platform for biomarker discovery for a variety of human biofluids and tissues. Here we used an untargeted liquid chromatography/mass spectrometry (MS) metabolomics approach to identify metabolites that distinguish human sera collected before the diagnosis of lung cancer from matched control sera in a prospective cohort of highrisk patients from the Beta-Carotene and Retinol Efficacy Trial (CARET).
DOI: 10.6073/pasta/64cf9f749d0d1164da0ab3fcad764e33
title: Jornada Basin LTER:  NPP P-TOBO meteorological station: Daily average soil volumetric water content
         data:  2013 - present

description: Daily average of 30-minute Volumetric Water Content at NPP P-TOBO met station. Collection of soil
            volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental
            monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water
            dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk
            dielectric permittivity are measured and calculated at an automated meteorological station
            installed at Jornada LTER NPP P-TOBO site. The daily average at 3 soil depths is calculated from
            measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm.     This is an ONGOING dataset.
DOI: 10.6073/pasta/a95d89dfba9f0bd32e6c856a11c2342c
title: Jornada Basin LTER:  NPP P-TOBO meteorological station: 30-minute soil volumetric water content
         data:  2013 - present

description: 30-minute Soil Moisture data at NPP P-TOBO met station. Collection of soil volumetric water content
            data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the
            Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content,
            bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every
            30 minutes at an automated meteorological station installed at Jornada LTER NPP P-TOBO site.
            Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths.     This is an
            ONGOING dataset.
DOI: 10.25345/c58s8z
title: MassIVE MSV000084033 - GNPS_GC_Metabolomics_Workbench_ST000048_Metabolomic & lipidomic profiles in response to exogenous insulin & GLP-1 infusions during prolonged fasting (GCMS)
title: This application requests funding to access state-of-the-art metabolomics and lipidomic platforms at the NIH West Coast Metabolomics Center to analyze plasma samples from recent insulin and glucagon-like peptide-1 (GLP-1) infusion experiments performed in prolong-fasted elephant seals. This suite of studies was designed to better assess the mechanisms contributing to the onset of an insulin resistantlike condition induced by prolonged food deprivation/starvation in mammals. Because elephant seals have evolved robust physiological mechanisms that have allowed them to naturally tolerate such protracted bouts of fasting, they provide an ideal model to address our central hypothesis that increased lipid utilization late in the fast contributes to insulin resistance in elephant seals. Insulin resistance is a common consequence of fasting in mammals and, while the mechanisms by which it manifests are still unclear, a metabolic shift favoring increased mobilization and utilization of lipids during prolonged food deprivation may be a principal causative factor. Insulin resistance has a negative connotation due to its association with obesity and diabetes among humans, but it has been suggested to be an adaptive response to food deprivation.
DOI: 10.25345/c5h94s
title: MassIVE MSV000084034 - GNPS_GC_Metabolomics_Workbench_ST000386_Investigation of metabolomic blood biomarkers for detection of adenocarcinoma lung cancer
title: SS = Sigma sample and is used as a quality control The first set (ADC1) used for biomarker development consisted of serum and plasma samples obtained from 52 stages I to IV NSCLC adenocarcinoma patients (52 plasma and 49 serum), and 31 healthy controls (31 pairs of serum and plasma) for a total of 163 samples. This set was regarded as the training set for biomarker discovery and classifier development. A second, independent case control study (ADC2) consisting of serum and plasma samples collected from 43 stage I to IV NSCLC adenocarcinoma patients and 43 healthy controls (total 172 samples) was used as an independent test set for biomarker evaluation. A limitation of this study is the relatively small sample size for each cohort 52 cases, 31 controls for ADC1, and 43 cases and 43 controls for ADC2 because patient variability can be a big factor in smaller studies.
DOI: 10.25345/c5ck96
title: MassIVE MSV000084035 - GNPS_GC_Metabolomics_Workbench_ST000385_Investigation of metabolomic blood biomarkers for detection of adenocarcinoma lung cancer
title: SS = Sigma sample and is used as a quality control The first set (ADC1) used for biomarker development consisted of serum and plasma samples obtained from 52 stages I to IV NSCLC adenocarcinoma patients (52 plasma and 49 serum), and 31 healthy controls (31 pairs of serum and plasma) for a total of 163 samples. This set was regarded as the training set for biomarker discovery and classifier development. A second, independent case control study (ADC2) consisting of serum and plasma samples collected from 43 stage I to IV NSCLC adenocarcinoma patients and 43 healthy controls (total 172 samples) was used as an independent test set for biomarker evaluation. A limitation of this study is the relatively small sample size for each cohort (52 cases, 31 controls for ADC1, and 43 cases and 43 controls for ADC2) because patient variability can be a big factor in smaller studies.
DOI: 10.25345/c57s8n
title: MassIVE MSV000084036 - GNPS_GC_Metabolomics_Workbench_ST000392_Systemic Metabolomic Changes in Blood Samples of Lung Cancer Patients Identified by Gas Chromatography Time-of-Flight Mass Spectrometry
title: Lung cancer is a leading cause of cancer deaths worldwide. Metabolic alterations in tumor cells coupled with systemic indicators of the host response to tumor development have the potential to yield blood profiles with clinical utility for diagnosis and monitoring of treatment. We report results from two separate studies using gas chromatography time-of-flight mass spectrometry (GC-TOF MS) to profile metabolites in human blood samples that significantly differ from non-small cell lung cancer (NSCLC) adenocarcinoma and other lung cancer cases. Metabolomic analysis of blood samples from the two studies yielded a total of 437 metabolites, of which 148 were identified as known compounds and 289 identified as unknown compounds. Differential analysis identified 15 known metabolites in one study and 18 in a second study that were statistically different (p-values &lt;0.05). Levels of maltose, palmitic acid, glycerol, ethanolamine, glutamic acid, and lactic acid were increased in cancer samples while amino acids tryptophan, lysine and histidine decreased. Many of the metabolites were found to be significantly different in both studies, suggesting that metabolomics appears to be robust enough to find systemic changes from lung cancer, thus showing the potential of this type of analysis for lung cancer detection.
DOI: 10.25345/c5435p
title: MassIVE MSV000084037 - GNPS_GC_Metabolomics_Workbench_ST000063_Biomarkers for Depression in Human Cerebrospinal Fluid in a Population Sample
title: This West Coast Metabolomics Center pilot and feasibility project was granted to Roel Ophoff (UC Los Angeles ) and Steve Horwath (UC Los Angeles ) . Major depressive disorder (MDD) is one of the most debilitating disorders in the United States with a 12-month prevalence of 6.7% in the adult population. The disorder affects millions of Americans daily and is a major health concern with enormous economic cost the society at large. Criteria for MDD diagnosis and treatment are based on various signs and symptoms not always fitting into strict diagnostic categories such as DSM-IV. Despite various known risk factors (such as family history, age, and gender), biological markers supporting diagnosis or prediction of MDD are unavailable. We have collected cerebrospinal fluid (CSF) and peripheral blood of more than 600 subjects from the general population. For each of the participants we also obtained biometric information as well as behavioral trait measures. One of the measures is the Beck Depression Inventory (BDI), a well-established questionnaire for measuring severity of depression. Based on the BDI, roughly 5% of participants suffer from severe depressive symptoms while most of these subjects are not under treatment or receiving any medication for depression
 
In the current investigation, untargeted analysis of primary metabolites was conducted on age and gender matched human cerebrospinal fluid (CSF) and plasma from subjects suffering with MDD ( n=50) and control subjects (n=50). Subjects were diagnosed as having MDD based on the Beck Depression Inventory.
The primary objectives of this study were to 1) identify metabolites which discriminate between subjects with and without depression symptoms in the CSF and plasma and 2) how changes correlate between CSF and plasma.
DOI: 10.25345/c5093r
title: MassIVE MSV000084038 - GNPS_GC_Metabolomics_Workbench_ST000065_Metabolic Profiling of Visceral and Subcutaneous Adipose Tissue from Colorectal Cancer Patients: GC-TOF MS analyis of serum samples
title: This West Coast Metabolomics Center pilot and feasibility project was granted to Johanna Lampe (Fred Hutchinson Cancer Research Center at Univ. of Washington, Seattle). In the current investigation, unbiased profiling of the metabolome and lipidome of adipose tissue samples (visceral(VAT) and subcutaenous (SAT)) and serum of 50 CRC patients, including stages I-IV, from the Fred Hutchinson Cancer Center (Seattle,WA) and the German Cancer Research Center (Heidelberg, Germany) was conducted. The lipidome and metabolome of adipose tissue (VAT/SAT) and serum were analyzed using established UPLC-QTOFMS analysis and GC-TOFMS analyses, respectively. 
The primary objectives of this project were to 1) compare the metabolome and lipidome of matched VAT and SAT adipose tissue of n=50 Colorectal Cancer Cell (CRC) patients, 2) characterize the associations between the lipidome and metabolome in adipose tissue (VAT/SAT) and serum of n=50 CRC patients and 3) test the associations between the lipidome/metabolome of VAT and serum with the tumor stage of CRC patients.
DOI: 10.14455/nrct.res.2018.180
title: การพัฒนาโปรแกรมแบบจำลองลุ่มน้ำและแบบจำลองอุกวิทยาโดยใช้วิธีเซลลูลาร์ ออโตเมต้า สำหรับการพยากรณ์และการเตือนภัยน้ำท่วมในจังหวัดนครศรีธรรมราช (A Program Development of the Watershed and Hydrologic Process ModelingUsing Cellular Automata for Flood Forecasting and Early Warning in Nakhon Si Thammarat Province)
DOI: 10.14455/nrct.res.2018.181
title: การพัฒนาและอนุรักษ์ภูมิปัญญาชุมชนสู่วิถีการผลผลิตตามแนวเศรษฐกิจพอเพียง : กรณีศึกษาการทำ
DOI: 10.14455/nrct.res.2019.3
title: การพัฒนาเตาเผาไฟต่ำเพื่อธุรกิจขนาดย่อม(SMEs) ของชุมชนเครื่องปั้นดินเผาท้องถิ่นภาคใต้ (The Development of Low Temperature Kiln for Local Pottery SMEs in Southern Thailand)
DOI: 10.25345/c5vm0g
title: MassIVE MSV000084039 - GNPS_GC_Metabolomics_Workbench_ST001154_A comprehensive plasma metabolomics dataset for a cohort of mouse knockouts within the International Mouse Phenotyping Consortium
title: Untargeted and targeted metabolomics datasets were acquired for blood plasma samples of 30 mouse knockouts within the International Mouse Phenotyping Consortium (IMPC). http://www.mousephenotype.org/. West Coast Metabolomics Center at UC Davis (https://metabolomics.ucdavis.edu/) conducted the metabolomics analyses.
DOI: 10.6073/pasta/8ef12be322200e8d7e47d28d211628c0
title: Jornada Basin LTER:  NPP T-EAST meteorological station: 30-minute summary data:  2013 - present

description: 30-minute summary data at NPP T-EAST met station. Average air temperature, relative humidity, wind
            speed, wind direction, and solar radiation are measured and calculated based on 1-second scan rate
            of sensors at an automated meteorological station installed at Jornada LTER NPP T-EAST site. Wind
            speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air
            temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This
            climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.
DOI: 10.6073/pasta/a7d970080635a3cbfcd6795472191fe0
title: Jornada Basin LTER:  NPP T-EAST meteorological station: 5-minute summary wind and air temperature
         data:  2013 - present

description: 5-minute summary data at NPP T-EAST met station. Average air temperature, wind speed and wind
            direction are measured and calculated based on 1-second scan rate of sensors at an automated
            meteorological station installed at Jornada LTER NPP T-EAST site. Wind speed is measured at 75 cm,
            150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m.
            This climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.
DOI: 10.6073/pasta/b8d23770bcc85995425c36d0c60499bb
title: Jornada Basin LTER:  NPP T-EAST meteorological station: 1-second summary precipitation data:  2013
         - present

description: 1-second summary precipitation data at NPP T-EAST met station. Total precipitation per second is
            recorded only if there is measurable precipitation. This is recorded at an automated meteorological
            station installed at Jornada LTER NPP T-EAST site.. This climate station is operated by the Jornada
            LTER Program.         IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping
            bucket rain gauge. If there is missing data due to equipment or other problems, there will be no
            indication of this within this dataset. The user needs to review precipitation values in the 30
            minute or hourly summary datasets to determine if there are missing data in this 1 second detailed
            precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437028, knb-lter-jrn.210437043,
            and knb-lter-jrn.210437058 for the NPP T-EAST met station 30 minute, hourly, and daily summary
            datasets, respectively.     This is an ONGOING dataset.
DOI: 10.6073/pasta/2fd3761f4f0dcab1961124df567632d2
title: Jornada Basin LTER:  NPP T-EAST meteorological station: Daily average soil volumetric water content
         data:  2013 - present

description: Daily average of 30-minute Volumetric Water Content at NPP T-EAST met station. Collection of soil
            volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental
            monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water
            dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk
            dielectric permittivity are measured and calculated at an automated meteorological station
            installed at Jornada LTER NPP T-EAST site. The daily average at 3 soil depths is calculated from
            measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm.     This is an ONGOING dataset.
DOI: 10.6073/pasta/b2327fafb6acd4f6293ebab5ad328a83
title: Jornada Basin LTER:  NPP T-EAST meteorological station: 30-minute soil volumetric water content
         data:  2013 - present

description: 30-minute Soil Moisture data at NPP T-EAST met station. Collection of soil volumetric water content
            data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the
            Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content,
            bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every
            30 minutes at an automated meteorological station installed at Jornada LTER NPP T-EAST site.
            Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths.     This is an
            ONGOING dataset.
DOI: 10.25345/c5qs7m
title: MassIVE MSV000084040 - GNPS_GC_Metabolomics_Workbench_ST000910_Insights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid (part I)
title: Insights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid
DOI: 10.6073/pasta/76c1ad4f4f1378a312835b34ef2297a0
title: Jornada Basin LTER:  NPP T-TAYL meteorological station: 30-minute summary data:  2013 - present

description: 30-minute summary data at NPP T-TAYL met station. Average air temperature, relative humidity, wind
            speed and wind direction are measured and calculated based on 1-second scan rate of sensors at an
            automated meteorological station installed at Jornada LTER NPP T-TAYL site. Wind speed is measured
            at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative
            humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program.
            This is an ONGOING dataset.
DOI: 10.6073/pasta/a0c38d4522c4e7c68c7de4d5300fdc7d
title: Jornada Basin LTER:  NPP T-TAYL meteorological station: 1-second summary precipitation data:  2013
         - present

description: 1-second summary precipitation data at NPP T-TAYL met station. Total precipitation per second is
            recorded only if there is measurable precipitation. This is recorded at an automated meteorological
            station installed at Jornada LTER NPP T-TAYL site.. This climate station is operated by the Jornada
            LTER Program.         IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping
            bucket rain gauge. If there is missing data due to equipment or other problems, there will be no
            indication of this within this dataset. The user needs to review precipitation values in the 30
            minute or hourly summary datasets to determine if there are missing data in this 1 second detailed
            precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437029, knb-lter-jrn.210437044,
            and knb-lter-jrn.210437059 for the NPP T-TAYL met station 30 minute, hourly, and daily summary
            datasets, respectively.     This is an ONGOING dataset.
DOI: 10.6073/pasta/c02c423f6e88dd4f926559fcf6db2f17
title: Jornada Basin LTER:  NPP T-TAYL meteorological station: Daily summary data:  2013 - present

description: Daily summary data at NPP T-TAYL met station. Average/maximum/minimum air temperature;
            average/maximum relative humidity and wind speed and average wind direction. These are measured and
            calculated based on 1-second scan rate of sensors at an automated meteorological station installed
            at Jornada LTER NPP T-TAYL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind
            direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This
            climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.
DOI: 10.25345/c5m36d
title: MassIVE MSV000084041 - GNPS_GC_Metabolomics_Workbench_ST000911_Insights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid (part II)
title: Insights into the pathogenesis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) through metabolomic profiling of cerebrospinal fluid
DOI: 10.25345/c5g933
title: MassIVE MSV000084042 - GNPS_GC_Metabolomics_Workbench_ST000061_Metabolic Profiling of Visceral and Subcutaneous Adipose Tissue from Colorectal Cancer Patients: GC-TOF MS analyis of subcutaneous and visceral adipose tissue samples
title: This West Coast Metabolomics Center pilot and feasibility project was granted to Johanna Lampe (Fred Hutchinson Cancer Research Center at Univ. of Washington, Seattle). In the current investigation, unbiased profiling of the metabolome and lipidome of adipose tissue samples (visceral(VAT) and subcutaenous (SAT)) and serum of 50 CRC patients, including stages I-IV, from the Fred Hutchinson Cancer Center (Seattle,WA) and the German Cancer Research Center (Heidelberg, Germany) was conducted. The lipidome and metabolome of adipose tissue (VAT/SAT) and serum were analyzed using established UPLC-QTOFMS analysis and GC-TOFMS analyses, respectively. 
The primary objectives of this project were to 1) compare the metabolome and lipidome of matched VAT and SAT adipose tissue of n=50 Colorectal Cancer Cell (CRC) patients, 2) characterize the associations between the lipidome and metabolome in adipose tissue (VAT/SAT) and serum of n=50 CRC patients and 3) test the associations between the lipidome/metabolome of VAT and serum with the tumor stage of CRC patients.
DOI: 10.6073/pasta/9349d8c68a545ad2c7ab84472819c72e
title: Jornada Basin LTER:  NPP T-TAYL meteorological station: Daily average soil volumetric water content
         data:  2013 - present

description: Daily average of 30-minute Volumetric Water Content at NPP T-TAYL met station. Collection of soil
            volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental
            monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water
            dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk
            dielectric permittivity are measured and calculated at an automated meteorological station
            installed at Jornada LTER NPP T-TAYL site. The daily average at 3 soil depths is calculated from
            measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm.     This is an ONGOING dataset.