cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26180/13308506
title: The voices of Australian healthcare workers during the COVID-19 pandemic

description: These are free text responses from Australian healthcare workers captured during a campaign advocating for better work, health and safety standards during the COVID-19 pandemic. They have been redacted in parts to preserve anonymity. These stories accompany a publication by Ananda-Rajah et al in BMJ Leader, 2020.
DOI: 10.7910/dvn/belbca
title: Executive Agreements Database, Statement Regarding Agreement Between The United States and Serbia and Montenegro Concerning Economic, Technical and Related Assistance Signed March 6, 2001

description: KAV 6527 First signed 03/06/2001 Last signed 03/06/2001 Entry into force (supplemented by last signed) 03/06/2001 stamped 04-160 C06536549 cover memo
DOI: 10.21258/1518390
title: Inventaire forestier national suisse - Tableau no 898256
DOI: 10.21258/1492601
title: Inventaire forestier national suisse - Tableau no 898354
DOI: 10.21258/1517135
title: Inventaire forestier national suisse - Tableau no 898558
DOI: 10.21258/1505020
title: Inventaire forestier national suisse - Tableau no 899340
DOI: 10.21258/1507669
title: Inventaire forestier national suisse - Tableau no 891785
DOI: 10.21258/1527520
title: Inventaire forestier national suisse - Tableau no 897225
DOI: 10.21258/1522901
title: Inventaire forestier national suisse - Tableau no 897025
DOI: 10.21258/1506888
title: Inventaire forestier national suisse - Tableau no 898066
DOI: 10.21258/1486166
title: Inventaire forestier national suisse - Tableau no 893060
DOI: 10.21258/1501162
title: Inventaire forestier national suisse - Tableau no 891938
DOI: 10.21258/1491902
title: Inventaire forestier national suisse - Tableau no 892037
DOI: 10.21258/1527869
title: Inventaire forestier national suisse - Tableau no 898789
DOI: 10.21258/1492225
title: Inventaire forestier national suisse - Tableau no 892074
DOI: 10.21258/1487828
title: Inventaire forestier national suisse - Tableau no 892079
DOI: 10.21258/1510430
title: Inventaire forestier national suisse - Tableau no 898082
DOI: 10.21258/1484357
title: Inventaire forestier national suisse - Tableau no 897308
DOI: 10.21258/1508794
title: Inventaire forestier national suisse - Tableau no 898564
DOI: 10.34740/kaggle/dsv/1729616
title: COVID19 cases by Continent
DOI: 10.21258/1500703
title: Inventaire forestier national suisse - Tableau no 897693
DOI: 10.21258/1488860
title: Inventaire forestier national suisse - Tableau no 891805
DOI: 10.21258/1527050
title: Inventaire forestier national suisse - Tableau no 892053
DOI: 10.21258/1528459
title: Inventaire forestier national suisse - Tableau no 899475
DOI: 10.21258/1508843
title: Inventaire forestier national suisse - Tableau no 902188
DOI: 10.21258/1480632
title: Inventaire forestier national suisse - Tableau no 891661
DOI: 10.21258/1517053
title: Inventaire forestier national suisse - Tableau no 891787
DOI: 10.21258/1505672
title: Inventaire forestier national suisse - Tableau no 899552
DOI: 10.21258/1492574
title: Inventaire forestier national suisse - Tableau no 891720
DOI: 10.21258/1507835
title: Inventaire forestier national suisse - Tableau no 897133
DOI: 10.21258/1509918
title: Inventaire forestier national suisse - Tableau no 891888
DOI: 10.21258/1485096
title: Inventaire forestier national suisse - Tableau no 891953
DOI: 10.21258/1488525
title: Inventaire forestier national suisse - Tableau no 891794
DOI: 10.21258/1510427
title: Inventaire forestier national suisse - Tableau no 898054
DOI: 10.21258/1528508
title: Inventaire forestier national suisse - Tableau no 898481
DOI: 10.21258/1511242
title: Inventaire forestier national suisse - Tableau no 891763
DOI: 10.6084/m9.figshare.13359032
title: Supplementary Material for: Die Rolle von Verhaltensexperimenten in der Behandlung von Zwangsstörungen: Ein Update zur effektiven Gestaltung und Durchführung in der Praxis

description: Das Ziel des Artikels ist es, den neuesten Stand zum effektiven Einsatz von Verhaltensexperimenten im Rahmen der Psychotherapie für Zwangsstörungen darzulegen. Dazu werden im ersten Teil die evidenzbasierten Psychotherapien zur Behandlung von Zwangsstörungen vorgestellt sowie die Probleme bei der Implementierung dieser Verfahren aufgezeigt. Dabei zeigt sich, dass trotz der guten Evidenzlage die Verfahren zu selten eingesetzt werden und so die Forschungs-Praxis-Lücke fördern. Im Anschluss werden die zugrundeliegenden Rationale zur Durchführung von Verhaltensexperimenten erläutert, in Bezug zu aktuellen Forschungsarbeiten gestellt und damit die Bedeutung von Verhaltensexperimenten in der Therapie von Zwangsstörungen unterstrichen. Daraus werden Empfehlungen für die effektive Umsetzung von Verhaltensexperimenten in der Praxis abgeleitet. Die Funktionsanalyse der zwangsspezifischen Symptomatik stellt das zentrale Element im Rahmen der Behandlung von Zwangsstörungen dar. Dabei müssen die Verhaltensexperimente an die individuell befürchtete Konsequenz bei Unterlassen von Ritualen und Sicherheitsverhalten (d.h. die furchtbasierte Überzeugung) ausgerichtet sein, um eine maximale Erwartungsverletzung zu ermöglichen. Klinische Fallbeispiele werden skizziert, anhand deren effektive Verhaltensexperimente anschaulich und praxisnah dargestellt werden. Abschließend werden noch Hinweise, Tipps und Fallstricke für Praktiker zur Durchführung von effektiven Verhaltensexperimenten beleuchtet und die Grenzen von Verhaltensexperimenten benannt.
DOI: 10.21258/1526128
title: Inventaire forestier national suisse - Tableau no 897782
DOI: 10.21258/1526354
title: Inventaire forestier national suisse - Tableau no 902245
DOI: 10.21258/1504982
title: Inventaire forestier national suisse - Tableau no 898826
DOI: 10.21258/1526408
title: Inventaire forestier national suisse - Tableau no 897151
DOI: 10.5281/zenodo.4312867
title: Wikidata Dump TextRobustness

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4312866
title: Wikidata Dump TextRobustness

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4312869
title: Wikidata Dump TextRobustness

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4312868
title: Wikidata Dump TextRobustness

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.21258/1501601
title: Inventaire forestier national suisse - Tableau no 891927
DOI: 10.21258/1512751
title: Inventaire forestier national suisse - Tableau no 891718
DOI: 10.6084/m9.figshare.13358960
title: Quantitative data

description: Mean averages, standard deviations, and median averages for fifteen MSLQ-J categories plus gender and academic rank data at pre-intervention are shown in Table 1. No categories significantly differed between the PIF-SRL and control groups. The subtracted (post- minus pre-intervention) between-group scores in the 15 MSLQ-J categories are shown in Table 2. Improvements in 1. Intrinsic goal orientation and 10. Critical thinking were significantly better in the PIF-SRL group than the control group with ε<sup>2</sup> values 0.096 (p = .005) and 0.051 (p = .041), respectively.
DOI: 10.21258/1503744
title: Inventaire forestier national suisse - Tableau no 891738
DOI: 10.21258/1511169
title: Inventaire forestier national suisse - Tableau no 891870
DOI: 10.21258/1522603
title: Inventaire forestier national suisse - Tableau no 891688
DOI: 10.21258/1495641
title: Inventaire forestier national suisse - Tableau no 892835
DOI: 10.6084/m9.figshare.13359014
title: Supplemental file 2

description: To explore change in motivation, strategies and reflective behaviors from self-reflection and study during the clinical clerkship, a questionnaire composed of seven questions was created (shown in Supplemental File 2). In 2019, one-on-one interviews were also conducted after qualitative data from the questionnaire from 41 participants in 2018 and 2019 were analysed. Three interviewers familiar with the CBCC but not engaged in the assessment of Year 5 students conducted interviews in order to encourage interviewees to openly articulate their own perceptions. Twelve students in the 2019 PIF-SRL group consented to participate in interviews conducted in a semi-structured manner using an interview form with similar questions to those in the questionnaire (shown in Supplemental File 2). The interviewers were instructed beforehand by the main author (YM) to obtain data about changes in perception regarding motivation, strategies and reflective behaviours after experiencing PIF-SRL.
DOI: 10.6084/m9.figshare.13359014.v1
title: Supplemental file 2

description: To explore change in motivation, strategies and reflective behaviors from self-reflection and study during the clinical clerkship, a questionnaire composed of seven questions was created (shown in Supplemental File 2). In 2019, one-on-one interviews were also conducted after qualitative data from the questionnaire from 41 participants in 2018 and 2019 were analysed. Three interviewers familiar with the CBCC but not engaged in the assessment of Year 5 students conducted interviews in order to encourage interviewees to openly articulate their own perceptions. Twelve students in the 2019 PIF-SRL group consented to participate in interviews conducted in a semi-structured manner using an interview form with similar questions to those in the questionnaire (shown in Supplemental File 2). The interviewers were instructed beforehand by the main author (YM) to obtain data about changes in perception regarding motivation, strategies and reflective behaviours after experiencing PIF-SRL.
DOI: 10.21258/1492299
title: Inventaire forestier national suisse - Tableau no 897307
DOI: 10.21258/1512614
title: Inventaire forestier national suisse - Tableau no 897557
DOI: 10.21258/1493514
title: Inventaire forestier national suisse - Tableau no 891719
DOI: 10.21258/1527992
title: Inventaire forestier national suisse - Tableau no 898904
DOI: 10.21258/1527269
title: Inventaire forestier national suisse - Tableau no 891687
DOI: 10.5281/zenodo.4311383
title: Data for quantitative precipitation estimation with Rulefit

description: This is the data that I used for quantitative precipitation estimation with Rulefit. rain represents the rain data, band 07-10 is the Himawari 8 satellite data. radar is the combined reflectivity data. Three kinds of data were preprocessed into the array with the shape of 301*279, and extracted the region of interest(east china) with python package(Salem). Then, these array are flattened and concatenated into pandas dataframe. nan value was dropped by dropna. I saved the data in the format of csv. As the review of manuscript progresses, I will continue to provide new versions and give new doi here.
DOI: 10.21258/1503238
title: Inventaire forestier national suisse - Tableau no 897078
DOI: 10.5281/zenodo.4311382
title: Data for quantitative precipitation estimation with Rulefit

description: This is the data that I used for quantitative precipitation estimation with Rulefit. rain represents the rain data, band 07-10 is the Himawari 8 satellite data. radar is the combined reflectivity data. Three kinds of data were preprocessed into the array with the shape of 301*279, and extracted the region of interest(east china) with python package(Salem). Then, these array are flattened and concatenated into pandas dataframe. nan value was dropped by dropna. I saved the data in the format of csv. As the review of manuscript progresses, I will continue to provide new versions and give new doi here.
DOI: 10.21258/1514797
title: Inventaire forestier national suisse - Tableau no 902079
DOI: 10.5281/zenodo.4058676
title: Dataset to: Mercury mobility, colloid formation and methylation in a polluted fluvisol as affected by manure application and flooding-draining cycle.

description: <strong>Dataset to:</strong> Mercury mobility, colloid formation and methylation in a polluted fluvisol as affected by manure application and flooding-draining cycle. <strong>Date of data collection date range:</strong> 2019-10-07 to 2019-12-03 <strong>Information about funding sources that supported the collection of the data</strong><br> This work was funded by the Swiss National Science Foundation (SNSF, Nr. 163661). We also acknowledge the financial support of the SNSF R’Equip project Nr. 183292. <em><strong>A more detailed description of the data can be found in the readme file.</strong></em>
description: A description of the data can be found in the readme file. Version notes: The readme file needs to be fully linked to the related articles.
DOI: 10.21258/1489822
title: Inventaire forestier national suisse - Tableau no 897412
DOI: 10.5281/zenodo.4138957
title: Deep-tissue label-free quantitative optical tomography

description: Deep-tissue label-free quantitative optical tomography Jelle van der Horst, Anna K. Trull, and Jeroen Kalkman The data sets, software, and figures accompany the publication: "Deep-tissue label-free quantitative optical tomography", Optica 7, 1682 (2020) https://doi.org/10.1364/OPTICA.397549 calc_hilbert_cor.m, corrects OCT data for dispersion cascade_measurement.m, analysis of OCT reference data&lt;\li&gt; data_A2_polyfit_v1_slice_0198.zip, Peak fitted data for all 200 slices (200 files)&lt;\li&gt; Ex18-11-01B, spectral-domain OCT reference data&lt;\li&gt; Ex18-11-01D, spectral-domain OCT reference data for background&lt;\li&gt; Ex18-11-01E_sweep_0001.dat, Reference power distribution of a sweep&lt;\li&gt; loadframes_refdata.m, load spectral-domain OCT data&lt;\li&gt; manual_COR_correction.m, perform manual center of rotation correction&lt;\li&gt; run_frame_analysis_polyfit.m, fit spatial-domain OCT data&lt;\li&gt; run_tomo_ocpt.m, main MATLAB file for the reconstruction &lt;\li&gt; shift_correction_galvo.m, correction for galvo offset&lt;\li&gt;
DOI: 10.5281/zenodo.4138956
title: Deep-tissue label-free quantitative optical tomography

description: Deep-tissue label-free quantitative optical tomography Jelle van der Horst, Anna K. Trull, and Jeroen Kalkman The data sets, software, and figures accompany the publication: "Deep-tissue label-free quantitative optical tomography", Optica 7, 1682 (2020) https://doi.org/10.1364/OPTICA.397549 calc_hilbert_cor.m, corrects OCT data for dispersion cascade_measurement.m, analysis of OCT reference data&lt;\li&gt; data_A2_polyfit_v1_slice_0198.zip, Peak fitted data for all 200 slices (200 files)&lt;\li&gt; Ex18-11-01B, spectral-domain OCT reference data&lt;\li&gt; Ex18-11-01D, spectral-domain OCT reference data for background&lt;\li&gt; Ex18-11-01E_sweep_0001.dat, Reference power distribution of a sweep&lt;\li&gt; loadframes_refdata.m, load spectral-domain OCT data&lt;\li&gt; manual_COR_correction.m, perform manual center of rotation correction&lt;\li&gt; run_frame_analysis_polyfit.m, fit spatial-domain OCT data&lt;\li&gt; run_tomo_ocpt.m, main MATLAB file for the reconstruction &lt;\li&gt; shift_correction_galvo.m, correction for galvo offset&lt;\li&gt;
DOI: 10.21258/1528396
title: Inventaire forestier national suisse - Tableau no 896960
DOI: 10.6084/m9.figshare.13359065.v1
title: TAN1705 density data

description: TAN1705 core density. Data used in Figure 2 and Supplementary Figures 14 and 15.
DOI: 10.6084/m9.figshare.13359065
title: TAN1705 density data

description: TAN1705 core density. Data used in Figure 2 and Supplementary Figures 14 and 15.
DOI: 10.6084/m9.figshare.13359059
title: Modelled PGV for Kaikoura earthquake

description: PGV grids and PGV values for catchment centroids. Data used to produce Figure 3 and Supplementary Figures 17 and 18.
DOI: 10.6084/m9.figshare.13359059.v1
title: Modelled PGV for Kaikoura earthquake

description: PGV grids and PGV values for catchment centroids. Data used to produce Figure 3 and Supplementary Figures 17 and 18.
DOI: 10.6084/m9.figshare.13359053
title: Kaikoura turbidite site meta-data

description: Meta data for TAN1705 cruise core sites. Data used in Figures 1 and 3, and Supplementary Figure 20.
DOI: 10.6084/m9.figshare.13359053.v1
title: Kaikoura turbidite site meta-data

description: Meta data for TAN1705 cruise core sites. Data used in Figures 1 and 3, and Supplementary Figure 20.
DOI: 10.21258/1480927
title: Inventaire forestier national suisse - Tableau no 897947
DOI: 10.6084/m9.figshare.13359071
title: TAN1705 ITRAX data

description: ITRAX data for selected TAN1705 cores. Data used in Supplementary Figures 16 and 14.
DOI: 10.6084/m9.figshare.13359071.v1
title: TAN1705 ITRAX data

description: ITRAX data for selected TAN1705 cores. Data used in Supplementary Figures 16 and 14.
DOI: 10.6084/m9.figshare.13359077
title: TAN1705 grainsize data

description: Grainsize data for selected TAN1705 cores. Data used in Supplementary Figure 16.
DOI: 10.6084/m9.figshare.13359077.v1
title: TAN1705 grainsize data

description: Grainsize data for selected TAN1705 cores. Data used in Supplementary Figure 16.
DOI: 10.6084/m9.figshare.13359083.v1
title: TAN1705 Geochronology data

description: 210Pb and 234Th datasets for selected TAN1705 and TAN1613 cores. Data used to produce Supplementary Figures 14 and 15.
DOI: 10.6084/m9.figshare.13359083
title: TAN1705 Geochronology data

description: 210Pb and 234Th datasets for selected TAN1705 and TAN1613 cores. Data used to produce Supplementary Figures 14 and 15.
DOI: 10.21258/1510009
title: Inventaire forestier national suisse - Tableau no 899492
DOI: 10.6084/m9.figshare.13359086
title: Modelled velocity time data

description: Ground velocity-time histories for TAN1705 catchment centroids. Data used in Figure 4.
DOI: 10.6084/m9.figshare.13359086.v1
title: Modelled velocity time data

description: Ground velocity-time histories for TAN1705 catchment centroids. Data used in Figure 4.
DOI: 10.21258/1510751
title: Inventaire forestier national suisse - Tableau no 899069
DOI: 10.21258/1504187
title: Inventaire forestier national suisse - Tableau no 891697
DOI: 10.21258/1510878
title: Inventaire forestier national suisse - Tableau no 897701
DOI: 10.21258/1479983
title: Inventaire forestier national suisse - Tableau no 899105
DOI: 10.21258/1511839
title: Inventaire forestier national suisse - Tableau no 899107
DOI: 10.6084/m9.figshare.13359101
title: Calibrating the marine turbidite paleoseismometer using the 2016 Kaikōura earthquake

description: Core sedimentological (bulk density, grainsize and geochemistry) and modelled ground motion datasets
DOI: 10.21258/1484369
title: Inventaire forestier national suisse - Tableau no 896899
DOI: 10.21258/1479709
title: Inventaire forestier national suisse - Tableau no 897982
DOI: 10.21258/1517520
title: Inventaire forestier national suisse - Tableau no 891858
DOI: 10.21258/1499259
title: Inventaire forestier national suisse - Tableau no 897189
DOI: 10.21258/1520898
title: Inventaire forestier national suisse - Tableau no 899248
DOI: 10.21258/1524033
title: Inventaire forestier national suisse - Tableau no 892945
DOI: 10.21258/1527396
title: Inventaire forestier national suisse - Tableau no 898998
DOI: 10.21258/1507621
title: Inventaire forestier national suisse - Tableau no 897854
DOI: 10.21258/1525137
title: Inventaire forestier national suisse - Tableau no 898573
DOI: 10.21258/1512694
title: Inventaire forestier national suisse - Tableau no 902198
DOI: 10.6084/m9.figshare.13359062
title: Supplementary Material for: Identification of Candidate Genes and Pathways in Nonsegmental Vitiligo Using Integrated Bioinformatics Methods

description: <b><i>Background:</i></b> Nonsegmental vitiligo (NSV) is an acquired depigmentation disorder of unknown origin. Enormous interests focus on finding novel biomarkers and pathways responsible for NSV. <b><i>Methods:</i></b> The gene expression level was obtained by integrating microarray datasets (GSE65127 and GSE75819) from the Gene Expression Omnibus database using the sva R package. Differentially expressed genes (DEGs) between each group were identified by the limma R package. The interaction network was constructed using STRING, and significant modules coupled with hub genes were identified by cytoHubba and molecular complex detection. Pathway analyses were conducted using generally applicable gene set enrichment and further visualized in R environment. <b><i>Results:</i></b> A total of 102 DEGs between vitiligo lesional skin and healthy skin, 14 lesion-specific genes, and 29 predisposing genes were identified from the integrated dataset. Except for the anticipated decrease in melanogenesis, three major functional changes were identified, including oxidative phosphorylation, p53, and peroxisome proliferator-activated receptor (PPAR) signaling in lesional skin. <i>PPARG</i>, <i>MUC1</i>, <i>S100A8</i>, and <i>S100A9</i> were identified as key hub genes involved in the pathogenesis of vitiligo. Besides, upregulation of the T cell receptor signaling pathway was considered to be associated with susceptibility of the skin in NSV patients. <b><i>Conclusion:</i></b> Our study reveals several potential pathways and related genes involved in NSV using integrated bioinformatics methods. It might provide references for targeted strategies for NSV.
DOI: 10.6084/m9.figshare.13359062.v1
title: Supplementary Material for: Identification of Candidate Genes and Pathways in Nonsegmental Vitiligo Using Integrated Bioinformatics Methods

description: <b><i>Background:</i></b> Nonsegmental vitiligo (NSV) is an acquired depigmentation disorder of unknown origin. Enormous interests focus on finding novel biomarkers and pathways responsible for NSV. <b><i>Methods:</i></b> The gene expression level was obtained by integrating microarray datasets (GSE65127 and GSE75819) from the Gene Expression Omnibus database using the sva R package. Differentially expressed genes (DEGs) between each group were identified by the limma R package. The interaction network was constructed using STRING, and significant modules coupled with hub genes were identified by cytoHubba and molecular complex detection. Pathway analyses were conducted using generally applicable gene set enrichment and further visualized in R environment. <b><i>Results:</i></b> A total of 102 DEGs between vitiligo lesional skin and healthy skin, 14 lesion-specific genes, and 29 predisposing genes were identified from the integrated dataset. Except for the anticipated decrease in melanogenesis, three major functional changes were identified, including oxidative phosphorylation, p53, and peroxisome proliferator-activated receptor (PPAR) signaling in lesional skin. <i>PPARG</i>, <i>MUC1</i>, <i>S100A8</i>, and <i>S100A9</i> were identified as key hub genes involved in the pathogenesis of vitiligo. Besides, upregulation of the T cell receptor signaling pathway was considered to be associated with susceptibility of the skin in NSV patients. <b><i>Conclusion:</i></b> Our study reveals several potential pathways and related genes involved in NSV using integrated bioinformatics methods. It might provide references for targeted strategies for NSV.