cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13352681
title: Supplementary Material for: <b><i>MMP9</i></b> rs17576 Is Simultaneously Correlated with Symptomatic Intracranial Atherosclerotic Stenosis and White Matter Hyperintensities in Chinese Population

description: <b><i>Purpose:</i></b> The aim of this study was screening for single nucleotide polymorphisms (SNPs) associated with white matter hyperintensities (WMHs) in symptomatic intracranial atherosclerotic stenosis (sICAS) patients and exploring a possible connection in the genetic background between macrovascular disease and small vessel disease. <b><i>Methods:</i></b> There were 400 sICAS patients enrolled in the study. Fazekas scores were applied to WMH classification. Healthy controls were referred to 1,000 Genome Project and GeneSky company who provided 1,007 Chinese healthy controls. Fast target sequencing technology was used to select the SNPs of 102 genes related to the pathogenesis of sICAS in the sICAS patients. <b><i>Results:</i></b> The allele frequencies of 88 SNPs were significantly different between the sICAS group and the healthy controls (<i>p</i> &lt; 0.05). The allele frequencies of 53 SNPs were significantly different between the sICAS patients with and without WMHs (<i>p</i> &lt; 0.05). Further analysis found that matrix metalloproteinase 9 (<i>MMP9</i>) rs17576 was simultaneously related to sICAS and WMHs. The frequency of the rs17576 A allele was significantly lower in sICAS patients when compared to the normal controls (<i>p</i> = 0.03, OR [95% CI] = 0.75 [0.625–0.91]). Also, the frequency of the rs17576 genotypes was significantly different under codominant (<i>p</i> = 0.009), dominant (<i>p</i> = 0.014), and recessive (<i>p</i>= 0.023) models. The frequency of the rs17576 A allele was significantly higher in sICAS with WMH patients, compared to those without WMHs (<i>p</i> = 0.022, OR [95% CI] = 1.54 [1.06–2.22]); the frequency of the rs17576 genotypes was significantly different under codominant (<i>p</i> = 0.019) and recessive (<i>p</i> = 0.032) models. Logistic regression analysis showed that age, hypertension, and <i>MMP9</i> rs17576 AA genotype were independent risk factors for sICAS with WMHs. <b><i>Conclusion:</i></b> <i>MMP9</i> rs17576 may be simultaneously associated with the risk of sICAS and WMHs.
DOI: 10.1285/i20356609v13i3p1582
title: Moffitt B. (2020), Populism, Cambridge, Polity Press.
DOI: 10.1285/i20356609v13i3p1588
title: Fourchard, Laurent (2018), Trier, exclure et policer: vies urbaines en Afrique du Sud et au Nigeria. Domaine gouvernances. Paris: Les Presses des Sciences Po.
DOI: 10.21258/1467522
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899662
DOI: 10.21258/1468884
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898259
DOI: 10.21258/1474621
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898471
DOI: 10.21258/1442487
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 893004
DOI: 10.21258/1469894
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898572
DOI: 10.20363/mdb.mjky-s935
title: Images from Chimaeradasys polytubulatus  Kieneke & Todaro, 2020 sp. nov. (Gastrotricha)
DOI: 10.21258/1448813
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 892077
DOI: 10.21258/1474319
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891959
DOI: 10.21258/1435917
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891765
DOI: 10.21258/1478693
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 896974
DOI: 10.21258/1459745
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899059
DOI: 10.21258/1456549
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899653
DOI: 10.21258/1455557
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899259
DOI: 10.21258/1435417
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899489
DOI: 10.21258/1462606
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899629
DOI: 10.21258/1474745
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899210
DOI: 10.21258/1446981
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897501
DOI: 10.5519/qd.islenb4e
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6882 records)
DOI: 10.21258/1438590
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 896913
DOI: 10.21258/1439557
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898950
DOI: 10.21258/1439878
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897966
DOI: 10.21258/1447188
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897775
DOI: 10.21258/1461043
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898236
DOI: 10.21258/1439034
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899613
DOI: 10.21258/1443415
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899114
DOI: 10.34740/kaggle/dsv/1727238
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.21258/1471097
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897356
DOI: 10.21258/1451408
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899369
DOI: 10.21258/1478667
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899392
DOI: 10.5519/qd.yk6mkxu9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6882 records)
DOI: 10.21258/1440020
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902278
DOI: 10.21258/1477597
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 896973
DOI: 10.21258/1433438
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897749
DOI: 10.21258/1476141
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897529
DOI: 10.5517/ccdc.csd.cc24b19v
title: CCDC 1975856: Experimental Crystal Structure Determination

description: Related Article: Yi-Zhong Shi, Kai Wang, Youichi Tsuchiya, Wei Liu, Takeshi Komino, Xiao-Chun Fan, Dianming Sun, Gaole Dai, Jia-Xiong Chen, Ming Zhang, caijun zheng, Shiyun Xiong, Xuemei Ou, Jia Yu, Jiansheng Jie, Chun-Sing Lee, Chihaya Adachi, Xiaohong Zhang|2020|CSD Communication|||
description: Related Article: Yizhong Shi, Kai Wang, Youichi Tsuchiya, Wei Liu, Takeshi Komino, Xiaochun Fan, Dianming Sun, Gaole Dai, Jiaxiong Chen, Ming Zhang, Caijun Zheng, Shiyun Xiong, Xuemei Ou, Jia Yu, Jiansheng Jie, Chun-Sing Lee, Chihaya Adachi, Xiaohong Zhang|2020|Materials Horizons|7|2734|doi:10.1039/D0MH00952K
DOI: 10.5517/ccdc.csd.cc25wbt7
title: CCDC 2022279: Experimental Crystal Structure Determination

description: Related Article: Yilang Cheng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25xjj5
title: CCDC 2023417: Experimental Crystal Structure Determination

description: Related Article: jidong zhao|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25xjzm
title: CCDC 2023431: Experimental Crystal Structure Determination

description: Related Article: jianing li|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25y3bl
title: CCDC 2023969: Experimental Crystal Structure Determination

description: Related Article: Fang-Rong Chang, Shih-Wei Wang, Shu-Rong Chen, Ching-Ying Lee, Jyh-Horng Sheu, Yuan-Bin Cheng|2020|Org.Biomol.Chem.|18|7892|doi:10.1039/D0OB01527J
description: Related Article: Yuan-Bin Cheng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25ycs9
title: CCDC 2024231: Experimental Crystal Structure Determination

description: Related Article: Hashini N. Munasinghe, Daohua Liu, Long Luo, Federico A. Rabuffetti|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25ygh3
title: CCDC 2024315: Experimental Crystal Structure Determination

description: Related Article: chen yuan|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25y05b
title: CCDC 2023871: Experimental Crystal Structure Determination

description: Related Article: Althaf Shaik, Sivapriya Kirubakaran, Vijay Thiruvenkatam|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc20s296
title: CCDC 1870177: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, George A. Koutsantonis|2018|CSD Communication|||
DOI: 10.21258/1475508
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902082
DOI: 10.21258/1485591
title: Inventaire forestier national suisse - Tableau no 898774
DOI: 10.21258/1462656
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899163
DOI: 10.21258/1444266
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902199
DOI: 10.21258/1446507
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898188
DOI: 10.21258/1497612
title: Inventaire forestier national suisse - Tableau no 891911
DOI: 10.21258/1437037
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899545
DOI: 10.25646/7726
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.21258/1462506
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902063
DOI: 10.21258/1444434
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897385
DOI: 10.21258/1528054
title: Inventaire forestier national suisse - Tableau no 891890
DOI: 10.21258/1511262
title: Inventaire forestier national suisse - Tableau no 891940
DOI: 10.21258/1471198
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897657
DOI: 10.21258/1436551
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899249
DOI: 10.21258/1439395
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899637
DOI: 10.21258/1442100
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897187
DOI: 10.21258/1437432
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897108
DOI: 10.21258/1433256
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899457
DOI: 10.21258/1433631
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898686
DOI: 10.21258/1456477
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898781
DOI: 10.21258/1509207
title: Inventaire forestier national suisse - Tableau no 891745
DOI: 10.21258/1478474
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902150
DOI: 10.21258/1502074
title: Inventaire forestier national suisse - Tableau no 898857
DOI: 10.5281/zenodo.4312865
title: Data set to Conference Paper "The Effect of Queuing Technology on Customer Experience in Physical Retail Environments"

description: Following an open data policy as supported by the European Union (https://www.openaire.eu/), this is the data set used for the following conference paper: Obermeier, G., Zimmermann, R., & Auinger, A. (2020, July). The Effect of Queuing Technology on Customer Experience in Physical Retail Environments. In <em>International Conference on Human-Computer Interaction</em> (pp. 141-157). Springer, Cham. The present work was conducted within the Innovative Training Network project PERFORM funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 765395. The EU Research Executive Agency is not responsible for any use that may be made of the information it contains.
DOI: 10.5281/zenodo.4312864
title: Data set to Conference Paper "The Effect of Queuing Technology on Customer Experience in Physical Retail Environments"

description: Following an open data policy as supported by the European Union (https://www.openaire.eu/), this is the data set used for the following conference paper: Obermeier, G., Zimmermann, R., & Auinger, A. (2020, July). The Effect of Queuing Technology on Customer Experience in Physical Retail Environments. In <em>International Conference on Human-Computer Interaction</em> (pp. 141-157). Springer, Cham. The present work was conducted within the Innovative Training Network project PERFORM funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 765395. The EU Research Executive Agency is not responsible for any use that may be made of the information it contains.
DOI: 10.21258/1489289
title: Inventaire forestier national suisse - Tableau no 897058
DOI: 10.21258/1501786
title: Inventaire forestier national suisse - Tableau no 902085
DOI: 10.21258/1513374
title: Inventaire forestier national suisse - Tableau no 897064
DOI: 10.21258/1497255
title: Inventaire forestier national suisse - Tableau no 897275
DOI: 10.21258/1510373
title: Inventaire forestier national suisse - Tableau no 899456
DOI: 10.21258/1511638
title: Inventaire forestier national suisse - Tableau no 896909
DOI: 10.21258/1513601
title: Inventaire forestier national suisse - Tableau no 902106
DOI: 10.21258/1487416
title: Inventaire forestier national suisse - Tableau no 897703
DOI: 10.21258/1520365
title: Inventaire forestier national suisse - Tableau no 898250
DOI: 10.21258/1513816
title: Inventaire forestier national suisse - Tableau no 893456
DOI: 10.5286/isis.e.rb2010673-2
title: In-situ neutron diffraction study of TWIP in a Ni based superalloy

description: Twinning induced plasticity (TWIP) has been studied extensively regarding low stacking fault energy (SFE) materials such as steels where the specific deformation mechanism enhances both strength and ductility. In Ni-based alloys, activation of twinning is difficult due to their high SFE. Our recent work revealed that outstanding mechanical properties can be obtained in a Ni-based superalloy by inducing the TWIP effect at a low deformation temperature. Ab initio calculations indicates that SFE is not the controlling effect. To investigate the underlying mechanisms further an in-situ neutron diffraction investigation is proposed. Lattice strain changes and grain rotations with deformation at RT and 77 K derived from the experiment will be correlated to microstructural studies by laboratory techniques to explore the mechanisms and conditions for activating TWIP in high SFE alloys.
DOI: 10.21258/1480679
title: Inventaire forestier national suisse - Tableau no 898707
DOI: 10.21258/1525562
title: Inventaire forestier national suisse - Tableau no 892932
DOI: 10.21258/1505085
title: Inventaire forestier national suisse - Tableau no 899012
DOI: 10.6084/m9.figshare.13352750
title: An evaluation method to properly calculate the Mixed Use Index contribuition

description: An equation to properly analyse the MXI proposed by Hoek (2008).
DOI: 10.6084/m9.figshare.13352750.v2
title: An evaluation method to properly calculate the Mixed Use Index contribuition

description: An equation to properly analyse the MXI proposed by Hoek (2008).
DOI: 10.6084/m9.figshare.13352750.v1
title: MXI evaluation Method

description: An equation to properly analyse the MXI proposed by Pont & Haupt (2010).
DOI: 10.21258/1526335
title: Inventaire forestier national suisse - Tableau no 899040
DOI: 10.21258/1485826
title: Inventaire forestier national suisse - Tableau no 899395
DOI: 10.21258/1496075
title: Inventaire forestier national suisse - Tableau no 897798
DOI: 10.21258/1513291
title: Inventaire forestier national suisse - Tableau no 893011
DOI: 10.21258/1528740
title: Inventaire forestier national suisse - Tableau no 899409
DOI: 10.21258/1515741
title: Inventaire forestier national suisse - Tableau no 898271
DOI: 10.21258/1519592
title: Inventaire forestier national suisse - Tableau no 898880
DOI: 10.21258/1506314
title: Inventaire forestier national suisse - Tableau no 891668
DOI: 10.21258/1508039
title: Inventaire forestier national suisse - Tableau no 892073
DOI: 10.21258/1529338
title: Inventaire forestier national suisse - Tableau no 891803
DOI: 10.21258/1486470
title: Inventaire forestier national suisse - Tableau no 898945
DOI: 10.6084/m9.figshare.7268555
title: Surface markers of human embryonic stem cells: a meta analysis of membrane proteomics reports

description: <b>Introduction</b>: Human embryonic stem cells (hESCs) have unique biological features and attributes that make them attractive in various areas of biomedical research. With heightened applications, there is an ever increasing need for advancement of proteome analysis. Membrane proteins are one of the most important subset of hESC proteins as they can be used as surface markers. <b>Areas covered</b>: This review discusses commonly used surface markers of hESCs, and provides in-depth analysis of available hESC membrane proteome reports and the existence of these markers in many other cell types, especially cancer cells. Appreciating, existing ambiguity in the definition of a membrane protein, we have attempted a meta analysis of the published membrane protein reports of hESCs by using a combination of protein databases and prediction tools to find the most confident plasma membrane proteins in hESCs. Furthermore, responsiveness of plasma membrane proteins to differentiation has been discussed based on available transcriptome profiling data bank. <b>Expert commentary</b>: Combined transcriptome and membrane proteome analysis highlighted additional proteins that may eventually find utility as new cell surface markers.
DOI: 10.6084/m9.figshare.7268555.v1
title: Surface markers of human embryonic stem cells: a meta analysis of membrane proteomics reports

description: <b>Introduction</b>: Human embryonic stem cells (hESCs) have unique biological features and attributes that make them attractive in various areas of biomedical research. With heightened applications, there is an ever increasing need for advancement of proteome analysis. Membrane proteins are one of the most important subset of hESC proteins as they can be used as surface markers. <b>Areas covered</b>: This review discusses commonly used surface markers of hESCs, and provides in-depth analysis of available hESC membrane proteome reports and the existence of these markers in many other cell types, especially cancer cells. Appreciating, existing ambiguity in the definition of a membrane protein, we have attempted a meta analysis of the published membrane protein reports of hESCs by using a combination of protein databases and prediction tools to find the most confident plasma membrane proteins in hESCs. Furthermore, responsiveness of plasma membrane proteins to differentiation has been discussed based on available transcriptome profiling data bank. <b>Expert commentary</b>: Combined transcriptome and membrane proteome analysis highlighted additional proteins that may eventually find utility as new cell surface markers.
DOI: 10.21258/1505459
title: Inventaire forestier national suisse - Tableau no 897254
DOI: 10.21258/1494884
title: Inventaire forestier national suisse - Tableau no 898024
DOI: 10.21258/1513640
title: Inventaire forestier national suisse - Tableau no 899418
DOI: 10.21258/1525036
title: Inventaire forestier national suisse - Tableau no 891913
DOI: 10.21258/1505549
title: Inventaire forestier national suisse - Tableau no 898059
DOI: 10.21258/1502384
title: Inventaire forestier national suisse - Tableau no 899488
DOI: 10.21258/1484470
title: Inventaire forestier national suisse - Tableau no 891990
DOI: 10.21258/1482387
title: Inventaire forestier national suisse - Tableau no 899232
DOI: 10.21258/1502216
title: Inventaire forestier national suisse - Tableau no 898694
DOI: 10.21258/1499448
title: Inventaire forestier national suisse - Tableau no 898870
DOI: 10.21258/1514824
title: Inventaire forestier national suisse - Tableau no 899186
DOI: 10.21258/1488342
title: Inventaire forestier national suisse - Tableau no 899377
DOI: 10.21258/1522583
title: Inventaire forestier national suisse - Tableau no 899549
DOI: 10.21258/1526463
title: Inventaire forestier national suisse - Tableau no 897355
DOI: 10.21258/1493069
title: Inventaire forestier national suisse - Tableau no 897719
DOI: 10.21258/1505376
title: Inventaire forestier national suisse - Tableau no 899369
DOI: 10.21258/1493632
title: Inventaire forestier national suisse - Tableau no 898367
DOI: 10.21258/1505920
title: Inventaire forestier national suisse - Tableau no 897805
DOI: 10.21258/1483771
title: Inventaire forestier national suisse - Tableau no 899550
DOI: 10.6084/m9.figshare.13353077
title: Supplementary Material for: Association of Sex, Age, and Comorbidities with Mortality in COVID-19 Patients: A Systematic Review and Meta-Analysis

description: <b><i>Introduction:</i></b> Although severe acute respiratory syndrome coronavirus-2 infection is causing mortality in considerable proportion of coronavirus disease-2019 (COVID-19) patients, however, evidence for the association of sex, age, and comorbidities on the risk of mortality is not well-aggregated yet. It was aimed to assess the association of sex, age, and comorbidities with mortality in COVID-2019 patients. <b><i>Methods:</i></b> Literatures were searched using different keywords in various databases. Relative risks (RRs) were calculated by RevMan software where statistical significance was set as <i>p</i> &lt; 0.05. <b><i>Results:</i></b> COVID-19 male patients were associated with significantly increased risk of mortality compared to females (RR 1.86: 95% confidence interval [CI] 1.67–2.07; <i>p</i> &lt; 0.00001). Patients with age ≥50 years were associated with 15.4-folds significantly increased risk of mortality compared to patients with age &lt;50 years (RR 15.44: 95% CI 13.02–18.31; <i>p</i> &lt; 0.00001). Comorbidities were also associated with significantly increased risk of mortality; kidney disease (RR 4.90: 95% CI 3.04–7.88; <i>p</i> &lt; 0.00001), cereborovascular disease (RR 4.78; 95% CI 3.39–6.76; <i>p</i> &lt; 0.00001), cardiovascular disease (RR 3.05: 95% CI 2.20–4.25; <i>p</i> &lt; 0.00001), respiratory disease (RR 2.74: 95% CI 2.04–3.67; <i>p</i> &lt; 0.00001), diabetes (RR 1.97: 95% CI 1.48–2.64; <i>p</i> &lt; 0.00001), hypertension (RR 1.95: 95% CI 1.58–2.40; <i>p</i> &lt; 0.00001), and cancer (RR 1.89; 95% CI 1.25–2.84; <i>p</i> = 0.002) but not liver disease (RR 1.64: 95% CI 0.82–3.28; <i>p</i>= 0.16). <b><i>Conclusion:</i></b> Implementation of adequate protection and interventions for COVID-19 patients in general and in particular male patients with age ≥50 years having comorbidities may significantly reduce risk of mortality associated with COVID-19.