cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6373029
title: soil-water dynamics under high-density tree plantation under stemlfow and stemflow-suppression conditions

description: daily dataset for matric suction, soil volumetric moisture content and soil temperature under a high-density, sycamore stand in which stemflow was suppressed in half of the investigated tree individuals were
DOI: 10.25345/c5r20s08d
title: MassIVE Reanalysis RMSV000000389.12 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080812/PXD004927 [12 out of 24] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6373018
title: soil-water dynamics in live pole drain

description: Matric suction and piezometric level (measured with T4 tensiometers), volumetric moisture content and soil temperature measured daily on live pole drain deployed at OAL-UK
DOI: 10.5281/zenodo.6373017
title: soil-water dynamics in live pole drain

description: Matric suction and piezometric level (measured with T4 tensiometers), volumetric moisture content and soil temperature measured daily on live pole drain deployed at OAL-UK
DOI: 10.25345/c5m902654
title: MassIVE Reanalysis RMSV000000382.28 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080596/PXD004242 [35 out of 51] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5gm81s19
title: MassIVE Reanalysis RMSV000000433.6 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080836/PXD003700 [10 out of 14] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5bv79z9h
title: MassIVE Reanalysis RMSV000000421.7 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080866/PXD001582 [4 out of 12] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19391219
title: Effects of stabilization splints on the signs and symptoms of temporomandibular disorders of muscular origin: A systematic review

description: To assess effects of stabilization splints on signs and symptoms of temporomandibular disorders of muscular origin compared to other treatments. A search for articles via six electronic databases and gray literature was conducted. The risk of bias was evaluated with the Cochrane Collaboration tool. The Grading of Recommendations Assessment, Development and Evaluation approach determined the certainty of evidence. Ten articles were included. Stabilization splints (n = 160 subjects) were reported to be as effective as other treatments (n = 209 patients) on analyzed outcomes (pressure pain threshold, pain during chewing, mouth opening, spontaneous pain intensity and by palpation). Five studies were judged at low and five at some concerns of risk of bias. The certainty of evidence was very low for all outcomes. Positive effect on signs and symptoms of temporomandibular disorders of muscular origin, when managed with stabilization splint, could not be confirmed or refuted.
DOI: 10.6084/m9.figshare.19391219.v1
title: Effects of stabilization splints on the signs and symptoms of temporomandibular disorders of muscular origin: A systematic review

description: To assess effects of stabilization splints on signs and symptoms of temporomandibular disorders of muscular origin compared to other treatments. A search for articles via six electronic databases and gray literature was conducted. The risk of bias was evaluated with the Cochrane Collaboration tool. The Grading of Recommendations Assessment, Development and Evaluation approach determined the certainty of evidence. Ten articles were included. Stabilization splints (n = 160 subjects) were reported to be as effective as other treatments (n = 209 patients) on analyzed outcomes (pressure pain threshold, pain during chewing, mouth opening, spontaneous pain intensity and by palpation). Five studies were judged at low and five at some concerns of risk of bias. The certainty of evidence was very low for all outcomes. Positive effect on signs and symptoms of temporomandibular disorders of muscular origin, when managed with stabilization splint, could not be confirmed or refuted.
DOI: 10.6084/m9.figshare.19213732
title: Reconciled Estimates of Monthly GDP in the United States

description: In the United States, income and expenditure-side estimates of gross domestic product (GDP) (GDPI and GDPE) measure “true” GDP with error and are available at a quarterly frequency. Methods exist for using these proxies to produce reconciled quarterly estimates of true GDP. In this paper, we extend these methods to provide reconciled historical true GDP estimates at a monthly frequency. We do this using a Bayesian mixed frequency vector autoregression (MF-VAR) involving GDPE, GDPI, unobserved true GDP, and monthly indicators of short-term economic activity. Our MF-VAR imposes restrictions that reflect a measurement-error perspective (i.e., the two GDP proxies are assumed to equal true GDP plus measurement error). Without further restrictions, our model is unidentified. We consider a range of restrictions that allow for point and set identification of true GDP and show that they lead to informative monthly GDP estimates. We illustrate how these new monthly data contribute to our historical understanding of business cycles and we provide a real-time application nowcasting monthly GDP over the pandemic recession.
DOI: 10.6084/m9.figshare.19213732.v2
title: Reconciled Estimates of Monthly GDP in the United States

description: In the United States, income and expenditure-side estimates of gross domestic product (GDP) (GDPI and GDPE) measure “true” GDP with error and are available at a quarterly frequency. Methods exist for using these proxies to produce reconciled quarterly estimates of true GDP. In this paper, we extend these methods to provide reconciled historical true GDP estimates at a monthly frequency. We do this using a Bayesian mixed frequency vector autoregression (MF-VAR) involving GDPE, GDPI, unobserved true GDP, and monthly indicators of short-term economic activity. Our MF-VAR imposes restrictions that reflect a measurement-error perspective (i.e., the two GDP proxies are assumed to equal true GDP plus measurement error). Without further restrictions, our model is unidentified. We consider a range of restrictions that allow for point and set identification of true GDP and show that they lead to informative monthly GDP estimates. We illustrate how these new monthly data contribute to our historical understanding of business cycles and we provide a real-time application nowcasting monthly GDP over the pandemic recession.
DOI: 10.6084/m9.figshare.19213732.v1
title: Reconciled Estimates of Monthly GDP in the US*

description: In the US, income and expenditure-side estimates of GDP (GDPI and GDPE) measure “true” GDP with error and are available at a quarterly frequency. Methods exist for using these proxies to produce reconciled quarterly estimates of true GDP. In this paper, we extend these methods to provide reconciled historical true GDP estimates at a monthly frequency. We do this using a Bayesian mixed frequency vector autoregression (MF-VAR) involving GDPE, GDPI, unobserved true GDP, and monthly indicators of short-term economic activity. Our MF-VAR imposes restrictions that reflect a measurement-error perspective (that is, the two GDP proxies are assumed to equal true GDP plus measurement error). Without further restrictions, our model is unidentified. We consider a range of restrictions that allow for point and set identification of true GDP and show that they lead to informative monthly GDP estimates. We illustrate how these new monthly data contribute to our historical understanding of business cycles and we provide a real-time application nowcasting monthly GDP over the pandemic recession.
DOI: 10.26249/fk2/lhfbd5/i94tbd
title: SUF-W1.0.sav

description: Wellendatensatz der 1. Erhebungswelle Format: sav Programm zum Öffnen der Datei: SPSS
DOI: 10.26249/fk2/lhfbd5/kwiky9
title: Wellenbericht_v1.0.pdf

description: Wellenbericht zur 1. Erhebungswelle Es umfasst eine Dokumentation der Datenerhebung und -aufbereitung im Rahmen der 1. Erhebungswelle und gibt einen Einblick in erste Analyseergebnisse.
DOI: 10.26249/fk2/lhfbd5/cbl1i5
title: Skalenhandbuch_v1.0.pdf

description: Skalenhandbuch zum LBS-Monitor, Stand: 1. Erhebungswelle. Es enthält eine Gesamtübersicht zum LBS-Monitor.
DOI: 10.26249/fk2/lhfbd5/htwlrp
title: Codebook_v1.0.pdf

description: Codebook zum Datensatz der 1. Erhebungswelle Es enthält Informationen zur Frageformulierung und Codierung der Variablen der ersten Erhebungswelle.
DOI: 10.26249/fk2/lhfbd5/lolpau
title: Datenbericht_v1.0.pdf

description: Datenbericht zur 1. Erhebungswelle Er enthält statistische Kennwerte zu den erhobenen Daten der 1. Erhebungswelle.
DOI: 10.26249/fk2/lhfbd5
title: SUF LBS-Monitor: 1. Erhebungswelle

description: Die Daten stammen aus einer Längsschnittstudie zur professionsbezogenen Entwicklung von Studierenden in Studiengängen für das Lehramt an berufsbildenden Schulen (LBS-Monitor). Die Studie wird durchgeführt im Rahmen des Projektes "DEIN LBS-Campus", das vom Bundesministerium für Bildung und Forschung gefördert wird (Laufzeit: 01.03.2020-31.12.2023). Über Onlinebefragungen an mehreren Standorten der hochschulischen beruflichen Lehrerbildung werden soziodemographische Merkmale der Studierenden, Angaben zum Studium und zu den Studienvoraussetzungen, Merkmale der professionsbezogenen Entwicklung, verschiedene Studien- und berufsbezogene Aspekte und ausgewählte Qualitätsaspekte sowie formale Leistungsindikatoren erfasst. Die 1. Welle wurde im Sommersemester 2021 durchgeführt. Die bereinigte Scientific-Use-File umfasst 526 Fälle von 34 Standorten. Sie steht im SPSS-Format zur Verfügung und enthält 341 Variablen. Die Daten werden über verschiedene Berichte dokumentiert. Das Skalenhandbuch enthält eine Dokumentation des Gesamtdatensatzes und wird über die Erhebungswellen fortgeschrieben. Das Codebook dokumentiert die erhobenen Variablen hinsichtlich Fragestellung und Codierung, im Datenbericht werden statistische Kennwerte berichtet. Die Erhebung und ausgewählte Analyseergebnisse sind im Wellenbericht zu finden.
DOI: 10.5281/zenodo.6373062
title: tree architectural traits under changing topographic conditions

description: tree architectural traits monitored yearly on trees planted in 2015 at OAL-UK under changing topographic conditions
DOI: 10.5281/zenodo.6373061
title: tree architectural traits under changing topographic conditions

description: tree architectural traits monitored yearly on trees planted in 2015 at OAL-UK under changing topographic conditions
DOI: 10.25345/c5736m553
title: MassIVE Reanalysis RMSV000000433.7 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080836/PXD003700 [5 out of 14] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c53b5wc0g
title: MassIVE Reanalysis RMSV000000409.5 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080267/PXD002854 [6 out of 11] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5zk55q5v
title: MassIVE Reanalysis RMSV000000362.42 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081607 Confetti, GluC-Chymotrypsin-Trypsin CID [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19391207
title: 287个城市原始数据

description: health economy
DOI: 10.6084/m9.figshare.19391207.v2
title: 287个城市原始数据

description: health economy
DOI: 10.6084/m9.figshare.19391207.v1
title: 287个城市原始数据

description: 健康损失评估
DOI: 10.25345/c5tt4fx26
title: MassIVE Reanalysis RMSV000000366.29 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086387 A Quantitative Proteome Map of the Human Body, TMT10 MS3 [Mixture: 25] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5q52fh0m
title: MassIVE Reanalysis RMSV000000592.18 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083508 29 tissues, colon Trypsin_HCD_QExactiveplus [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5kd1qp7b
title: MassIVE Reanalysis RMSV000000429.5 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080869/PXD005296 [10 out of 12] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5fn10w42
title: MassIVE Reanalysis RMSV000000416.4 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080860/PXD003902 [7 out of 8] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c59w0930b
title: MassIVE Reanalysis RMSV000000382.29 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080596/PXD004242 [1 out of 51] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5639k85v
title: MassIVE Reanalysis RMSV000000369.11 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080757/PXD002619 [12 out of 24] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c52b8vg1q
title: MassIVE Reanalysis RMSV000000483.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080780/PXD000934 [4 out of 6] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5xk84t7k
title: MassIVE Reanalysis RMSV000000499.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080764/PXD004668 [1 out of 3] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5sx64d46
title: MassIVE Reanalysis RMSV000000477.3 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080831/PXD004915 [4 out of 4] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5p55dm1v
title: MassIVE Reanalysis RMSV000000618.13 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081649/PXD006833 [3 out of 19] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5jd4ps8k
title: MassIVE Reanalysis RMSV000000382.30 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080596/PXD004242 [26 out of 51] [launched by cfca6e4ba8934e65aa11617b56091339]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.