cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7484447
title: Supplementary Material for: Efficacy and Safety of Agents in IgA Nephropathy: An Update Network Meta-Analysis

description: <b><i>Background/Aims:</i></b> The present network meta-analysis of randomized controlled trials (RCTs) was to explore the efficacy and safety of different pharmacologic interventions in IgA nephropathy with proteinuria more than 0.75 g/d. <b><i>Methods:</i></b> We systematically searched the Cochrane Library, Embase, and PubMed database for studies compared the rate of clinical remission and/or serious adverse events in IgA nephropathy patients with proteinuria (&gt; 0.75 g/d) up to August 1, 2018. We ranked the comparative effects of all drugs against placebo on the surface under the cumulative ranking area (SUCRA) probabilities. <b><i>Results:</i></b> There were 29 RCTs comprising 2517 participants included for the comparisons of 9 interventions. The rank of the most effective treatments for inducing clinical remission was renin-angiotensin system inhibitors (RASi) in combination with steroid, tonsillectomy combined with steroid pulse therapy, and azathioprine plus RASi with SUCRA of 82.9%, 80.5%, and 67.6%, respectively. RASi in combination with steroid (SUCRA 3.9%) was the most effective in prevention of end-stage renal disease or doubling serum creatinine, followed by RASi monotherapy (SUCRA 38.4%) and azathioprine combined with steroid (SUCRA 49.0%). As for the occurrence of serious adverse events, azathioprine combined with RASi (SUCRA 88.0%) and steroid plus RASi (SUCRA 74.6%) showed the first and second highest incidence of adverse events, respectively. <b><i>Conclusion:</i></b> RASi combined with steroid demonstrated the most effective therapeutic approach for IgA nephropathy patients in terms of reducing proteinuria and stabilizing renal function.
DOI: 10.7284/100990
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1004 using a C&C C-Nav 3050 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484480.v2
title: New robust weighted averaging- and model-based methods for assessing trait-environment relationships: R-code

description: This is the R-code belonging to the paper <br>New robust weighted averaging- and model-based methods for assessing trait-environment relationships. <br>It contains two new methods, a new weighted averaging method and a new model-based method: 1. The new weighted averaging method combines site-level CWM with a species-level regression of Species Niche Centroids (SNC) on to the trait. The regressions are weighted by Hill's effective number (<i>N</i><sub>2</sub>) of occurrences of each species and the <i>N</i><sub>2</sub>-diversity of a site, and are subsequently combined in a sequential test procedure known as the max-test.2. Using the test statistics of these new methods, the permutation-based max test provides strong statistical evidence for trait-environment association in a plant community dataset, where existing methods show (very) weak evidence. The powers of the two new methods were similar in a simulation study based on this dataset.<br>
DOI: 10.7284/101006
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1004 using a C&C C-Nav 2000 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484480.v3
title: New robust weighted averaging- and model-based methods for assessing trait-environment relationships: R-code

description: This is the R-code belonging to the paper <br>New robust weighted averaging- and model-based methods for assessing trait-environment relationships. <br>It contains two new methods, a new weighted averaging method and a new model-based method: 1. The new weighted averaging method combines site-level CWM with a species-level regression of Species Niche Centroids (SNC) on to the trait. The regressions are weighted by Hill's effective number (<i>N</i><sub>2</sub>) of occurrences of each species and the <i>N</i><sub>2</sub>-diversity of a site, and are subsequently combined in a sequential test procedure known as the max-test.2. Using the test statistics of these new methods, the permutation-based max test provides strong statistical evidence for trait-environment association in a plant community dataset, where existing methods show (very) weak evidence. The powers of the two new methods were similar in a simulation study based on this dataset.<br>
DOI: 10.6084/m9.figshare.7484426
title: Unsupervised defect prediction review protocol

description: This file is to describe our unsupervised defect prediction review protocol.
DOI: 10.7284/101001
title: Gravimeter data collected during research cruise MGL1004 using a Bell BGM-3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484480.v4
title: New robust weighted averaging- and model-based methods for assessing trait-environment relationships: R-code

description: This is the R-code belonging to the paper <br>New robust weighted averaging- and model-based methods for assessing trait-environment relationships. <br>It contains two new methods, a new weighted averaging method and a new model-based method: 1. The new weighted averaging method combines site-level CWM with a species-level regression of Species Niche Centroids (SNC) on to the trait. The regressions are weighted by Hill's effective number (<i>N</i><sub>2</sub>) of occurrences of each species and the <i>N</i><sub>2</sub>-diversity of a site, and are subsequently combined in a sequential test procedure known as the max-test.2. Using the test statistics of these new methods, the permutation-based max test provides strong statistical evidence for trait-environment association in a plant community dataset, where existing methods show (very) weak evidence. The powers of the two new methods were similar in a simulation study based on this dataset.<br>
DOI: 10.7284/100993
title: Gyrocompass data collected during research cruise MGL1004 using a Kongsberg Simrad GC80 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484426.v1
title: Unsupervised defect prediction review protocol

description: This file is to describe our unsupervised defect prediction review protocol.
DOI: 10.6084/m9.figshare.7484480.v5
title: New robust weighted averaging- and model-based methods for assessing trait-environment relationships: R-code

description: This is the R-code belonging to the paper <br>New robust weighted averaging- and model-based methods for assessing trait-environment relationships. <br>It contains two new methods, a new weighted averaging method and a new model-based method: 1. The new weighted averaging method combines site-level CWM with a species-level regression of Species Niche Centroids (SNC) on to the trait. The regressions are weighted by Hill's effective number (<i>N</i><sub>2</sub>) of occurrences of each species and the <i>N</i><sub>2</sub>-diversity of a site, and are subsequently combined in a sequential test procedure known as the max-test.2. Using the test statistics of these new methods, the permutation-based max test provides strong statistical evidence for trait-environment association in a plant community dataset, where existing methods show (very) weak evidence. The powers of the two new methods were similar in a simulation study based on this dataset.<br>
DOI: 10.7284/100991
title: INS (Inertial Navigation System) data collected during research cruise MGL1004 using a Kongsberg Seapath 200 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484480.v6
title: New robust weighted averaging- and model-based methods for assessing trait-environment relationships: R-code

description: This is the R-code belonging to the paper <br>New robust weighted averaging- and model-based methods for assessing trait-environment relationships. <br>It contains two new methods, a new weighted averaging method and a new model-based method: 1. The new weighted averaging method combines site-level CWM with a species-level regression of Species Niche Centroids (SNC) on to the trait. The regressions are weighted by Hill's effective number (<i>N</i><sub>2</sub>) of occurrences of each species and the <i>N</i><sub>2</sub>-diversity of a site, and are subsequently combined in a sequential test procedure known as the max-test.2. Using the test statistics of these new methods, the permutation-based max test provides strong statistical evidence for trait-environment association in a plant community dataset, where existing methods show (very) weak evidence. The powers of the two new methods were similar in a simulation study based on this dataset.<br>
DOI: 10.7284/100992
title: INS (Inertial Navigation System) data collected during research cruise MGL1004 using a Applanix POS/MV-320 V3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484426.v3
title: Unsupervised defect prediction review protocol

description: This file is to describe our unsupervised defect prediction review protocol.
DOI: 10.6084/m9.figshare.7484426.v4
title: Unsupervised defect prediction review protocol

description: This file is to describe our unsupervised defect prediction review protocol.
DOI: 10.7284/101000
title: Magnetometer data collected during research cruise MGL1004 using a Geometrics G-882 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484426.v5
title: Unsupervised defect prediction review protocol

description: This file is to describe our unsupervised defect prediction review protocol.
DOI: 10.7284/100997
title: Meteorological Station data collected during research cruise MGL1004 using a RM Young 26700 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484411
title: Additional file 2: of Canopy attachment position influences metabolism and peel constituency of European pear fruit

description: Table S2. Example spectra of select tentatively identified metabolites. (CSV 3â kb)
DOI: 10.6084/m9.figshare.7484426.v6
title: Unsupervised defect prediction review protocol

description: This file is to describe our unsupervised defect prediction review protocol.
DOI: 10.6084/m9.figshare.7484426.v7
title: Unsupervised defect prediction review protocol

description: This file is to describe our unsupervised defect prediction review protocol.
DOI: 10.6084/m9.figshare.7484411.v1
title: Additional file 2: of Canopy attachment position influences metabolism and peel constituency of European pear fruit

description: Table S2. Example spectra of select tentatively identified metabolites. (CSV 3â kb)
DOI: 10.7284/100987
title: Multibeam Echosounder data collected during research cruise MGL1004 using a Kongsberg EM122 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484408
title: Additional file 1: of Canopy attachment position influences metabolism and peel constituency of European pear fruit

description: Table S1. ‘d’Anjou’ metabolic profile information. Retention time/index, target ion, metabolite identification or classification, identification quality, identification or classification basis, WGCNA network node name, and network module color. (CSV 61 kb)
DOI: 10.6084/m9.figshare.7484408.v1
title: Additional file 1: of Canopy attachment position influences metabolism and peel constituency of European pear fruit

description: Table S1. ‘d’Anjou’ metabolic profile information. Retention time/index, target ion, metabolite identification or classification, identification quality, identification or classification basis, WGCNA network node name, and network module color. (CSV 61 kb)
DOI: 10.7284/101004
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise MGL1004 using a LDEO pCO2 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/100988
title: Singlebeam Echosounder data collected during research cruise MGL1004 using a Knudsen 3260 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/101002
title: SSV (Sound Speed Velocimeter) data collected during research cruise MGL1004 using a AML MicroSV instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/101003
title: SSV (Sound Speed Velocimeter) data collected during research cruise MGL1004 using a AML MicroSV instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484378
title: Additional file 4: of A two million year record of low-latitude aridity linked to continental weathering from the Maldives

description: Table S4. Age (kyr), sedimentation rate, bulk density (Grape) and Fe flux. (XLSX 155 kb)
DOI: 10.6084/m9.figshare.7484378.v1
title: Additional file 4: of A two million year record of low-latitude aridity linked to continental weathering from the Maldives

description: Table S4. Age (kyr), sedimentation rate, bulk density (Grape) and Fe flux. (XLSX 155 kb)
DOI: 10.7284/100999
title: Water Temperature data collected during research cruise MGL1004 using a Sea-Bird SBE-38 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484363
title: Additional file 2: of A two million year record of low-latitude aridity linked to continental weathering from the Maldives

description: Table S2. Age model tie-lines. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.7484369
title: Additional file 3: of A two million year record of low-latitude aridity linked to continental weathering from the Maldives

description: Table S3. Composite splice (mcd), age (kyr), element intensities (cps). (XLSX 169 kb)
DOI: 10.6084/m9.figshare.7484363.v1
title: Additional file 2: of A two million year record of low-latitude aridity linked to continental weathering from the Maldives

description: Table S2. Age model tie-lines. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.7484369.v1
title: Additional file 3: of A two million year record of low-latitude aridity linked to continental weathering from the Maldives

description: Table S3. Composite splice (mcd), age (kyr), element intensities (cps). (XLSX 169 kb)
DOI: 10.7284/100998
title: TSG (Thermosalinograph) data collected during research cruise MGL1004 using a Sea-Bird SBE-21 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484357
title: Additional file 1: of A two million year record of low-latitude aridity linked to continental weathering from the Maldives

description: Table S1. X-ray fluorescence comparison between conventional XRF (University of Edinburgh) and XRF core-scanner (Texas A&M University). (XLSX 12 kb)
DOI: 10.6084/m9.figshare.7484357.v1
title: Additional file 1: of A two million year record of low-latitude aridity linked to continental weathering from the Maldives

description: Table S1. X-ray fluorescence comparison between conventional XRF (University of Edinburgh) and XRF core-scanner (Texas A&M University). (XLSX 12 kb)
DOI: 10.7284/102572
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1101 using a C&C C-Nav 3050 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102569
title: Gravimeter data collected during research cruise MGL1101 using a Bell BGM-3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102570
title: Gyrocompass data collected during research cruise MGL1101 using a Kongsberg Simrad GC80 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102567
title: INS (Inertial Navigation System) data collected during research cruise MGL1101 using a Applanix POS/MV-320 V3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102568
title: INS (Inertial Navigation System) data collected during research cruise MGL1101 using a Kongsberg Seapath 200 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102565
title: Meteorological Station data collected during research cruise MGL1101 using a RM Young 26700 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102564
title: SSV (Sound Speed Velocimeter) data collected during research cruise MGL1101 using a AML MicroSV instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102571
title: Water Temperature data collected during research cruise MGL1101 using a Sea-Bird SBE-38 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102596
title: Expendable Probe data collected during research cruise MGL1102 using a Sippican MK21 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102607
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1102 using a C&C C-Nav 3050 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102602
title: Gravimeter data collected during research cruise MGL1102 using a Bell BGM-3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102603
title: Gyrocompass data collected during research cruise MGL1102 using a Kongsberg Simrad GC80 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102600
title: INS (Inertial Navigation System) data collected during research cruise MGL1102 using a Applanix POS/MV-320 V3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102601
title: INS (Inertial Navigation System) data collected during research cruise MGL1102 using a Kongsberg Seapath 200 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484228
title: Additional file 2: of Deciphering evolution of immune recognition in antibodies

description: Table S2. Human antibodies of common germline VH (variable region of heavy chain) lineages complexed with antigens. PDB IDs of complexes tabulated. (XLSX 30 kb)
DOI: 10.6084/m9.figshare.7484225
title: Additional file 1: of Deciphering evolution of immune recognition in antibodies

description: Table S1. Mouse antibodies of common germline VH (variable region of heavy chain) lineages complexed with antigens. PDB IDs of complexes tabulated. (XLSX 34 kb)
DOI: 10.6084/m9.figshare.7484228.v1
title: Additional file 2: of Deciphering evolution of immune recognition in antibodies

description: Table S2. Human antibodies of common germline VH (variable region of heavy chain) lineages complexed with antigens. PDB IDs of complexes tabulated. (XLSX 30 kb)
DOI: 10.7284/102598
title: Meteorological Station data collected during research cruise MGL1102 using a RM Young 26700 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484225.v1
title: Additional file 1: of Deciphering evolution of immune recognition in antibodies

description: Table S1. Mouse antibodies of common germline VH (variable region of heavy chain) lineages complexed with antigens. PDB IDs of complexes tabulated. (XLSX 34 kb)
DOI: 10.7284/102597
title: Multibeam Echosounder data collected during research cruise MGL1102 using a Kongsberg EM122 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102604
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise MGL1102 using a LDEO pCO2 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102605
title: Water Temperature data collected during research cruise MGL1102 using a Sea-Bird SBE-38 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/102606
title: TSG (Thermosalinograph) data collected during research cruise MGL1102 using a Sea-Bird SBE-21 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484186
title: Additional file 6: of Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation

description: Table S4. (XLSX 36 kb)
DOI: 10.6084/m9.figshare.7484186.v1
title: Additional file 6: of Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation

description: Table S4. (XLSX 36 kb)
DOI: 10.7284/102584
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1103 using a C&C C-Nav 3050 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484180
title: Additional file 5: of Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation

description: Table S3. (XLSX 157 kb)
DOI: 10.6084/m9.figshare.7484180.v1
title: Additional file 5: of Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation

description: Table S3. (XLSX 157 kb)
DOI: 10.6084/m9.figshare.7484174
title: Additional file 4: of Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation

description: Table S2. (XLSX 75 kb)
DOI: 10.7284/102580
title: Gravimeter data collected during research cruise MGL1103 using a Bell BGM-3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7484174.v1
title: Additional file 4: of Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation

description: Table S2. (XLSX 75 kb)