cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12931966
title: Additional file 18 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 18: Table S8. Mapped reads from RNA-Seq and ribosome profiling.
DOI: 10.6084/m9.figshare.12931963.v1
title: Additional file 17 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 17; Table S7. Primers used in this study for RT-qPCR assays.
DOI: 10.6084/m9.figshare.12931978
title: Additional file 2 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 2: Table S2. Karyotypes of euploid and aneuploid Saccharomyces cerevisiae strains.
DOI: 10.6084/m9.figshare.12931978.v1
title: Additional file 2 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 2: Table S2. Karyotypes of euploid and aneuploid Saccharomyces cerevisiae strains.
DOI: 10.6084/m9.figshare.12931957.v1
title: Additional file 15 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 15: Table S5. Normalized ratio of ER-GFP fluorescence/protein level.
DOI: 10.6084/m9.figshare.12931996
title: Additional file 8 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 8: Table S3. RNA-seq and ribosome footprints of ESR and HSR-related genes in aneuploid strains.
DOI: 10.6084/m9.figshare.12931960
title: Additional file 16 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 16: Table S6. Plasmids used in this study.
DOI: 10.6084/m9.figshare.12931972
title: Additional file 1 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 1: Table S1. Saccharomyces cerevisiae strains used in this study.
DOI: 10.6084/m9.figshare.12931957
title: Additional file 15 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 15: Table S5. Normalized ratio of ER-GFP fluorescence/protein level.
DOI: 10.6084/m9.figshare.12931960.v1
title: Additional file 16 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 16: Table S6. Plasmids used in this study.
DOI: 10.6084/m9.figshare.12931975
title: Additional file 20 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 20: Table S9. Whole genome requencing read depth.
DOI: 10.6084/m9.figshare.12931972.v1
title: Additional file 1 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 1: Table S1. Saccharomyces cerevisiae strains used in this study.
DOI: 10.6084/m9.figshare.12931975.v1
title: Additional file 20 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 20: Table S9. Whole genome requencing read depth.
DOI: 10.6084/m9.figshare.12931996.v1
title: Additional file 8 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 8: Table S3. RNA-seq and ribosome footprints of ESR and HSR-related genes in aneuploid strains.
DOI: 10.6084/m9.figshare.12931966.v1
title: Additional file 18 of Aneuploidy-induced proteotoxic stress can be effectively tolerated without dosage compensation, genetic mutations, or stress responses

description: Additional file 18: Table S8. Mapped reads from RNA-Seq and ribosome profiling.
DOI: 10.25505/fiz.icsd.cc1zk4ym
title: CSD 1833741: Experimental Crystal Structure Determination

description: Related Article: Li Zhang, Chaozhuang Xue, Wei Wang, Dandan Hu, Jing Lv, Dongsheng Li, Tao Wu|2018|Inorg.Chem.|57|10485|doi:10.1021/acs.inorgchem.8b01233
DOI: 10.25505/fiz.icsd.cc20jl49
title: CSD 1862980: Experimental Crystal Structure Determination

description: Related Article: A. Ould Saleck, A. Assani, M. Saadi, C. Mercier, C. Follet, L. El Ammari|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1358|doi:10.1107/S2056989018011799
DOI: 10.25505/fiz.icsd.cc20jl5b
title: CSD 1862981: Experimental Crystal Structure Determination

description: Related Article: A. Ould Saleck, A. Assani, M. Saadi, C. Mercier, C. Follet, L. El Ammari|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1358|doi:10.1107/S2056989018011799
DOI: 10.25505/fiz.icsd.cc20k0xj
title: CSD 1863407: Experimental Crystal Structure Determination

description: Related Article: H. Yamane, K. Hiraka|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1366|doi:10.1107/S205698901801188X
DOI: 10.25505/fiz.icsd.cc20n61y
title: CSD 1866449: Experimental Crystal Structure Determination

description: Related Article: Sergei I. Ivlev,  Antti J. Karttunen,  Magnus R. Buchner,  Matthias Conrad,  Florian Kraus|2018|Angew.Chem.,Int.Ed.|57|14640|doi:10.1002/anie.201803708
DOI: 10.5517/ccdc.csd.cc2138p4
title: CCDC 1879985: Experimental Crystal Structure Determination

description: Related Article: François-Xavier Turquet, Beltzane Garcia-Cirera, Belén Albela, Laurent Bonneviot, Mercè Font-Bardia, Montserrat Corbella|2020|Inorg.Chim.Acta|513|119949|doi:10.1016/j.ica.2020.119949
DOI: 10.5517/ccdc.csd.cc2138q5
title: CCDC 1879986: Experimental Crystal Structure Determination

description: Related Article: François-Xavier Turquet, Beltzane Garcia-Cirera, Belén Albela, Laurent Bonneviot, Mercè Font-Bardia, Montserrat Corbella|2020|Inorg.Chim.Acta|513|119949|doi:10.1016/j.ica.2020.119949
DOI: 10.5517/ccdc.csd.cc21tmfy
title: CCDC 1901460: Experimental Crystal Structure Determination

description: Related Article: Himabindu Battula, S.D. Anwar Hussaini, Smriti Arvind Nahata, Lipi Deepaakshi Patnaik, Santosh Ranga, Subbalakshmi Jayanty|2020|J.Mol.Struct.|1225|129090|doi:10.1016/j.molstruc.2020.129090
DOI: 10.5517/ccdc.csd.cc23mxb0
title: CCDC 1955552: Experimental Crystal Structure Determination

description: Related Article: Mi-Na Zhao, Gui-Wan Ning, De-Suo Yang, Peng Gao, Ming-Jin Fan, Li-Fang Zhao|2020|Tetrahedron Lett.|61|152319|doi:10.1016/j.tetlet.2020.152319
DOI: 10.5517/ccdc.csd.cc248xr3
title: CCDC 1974785: Experimental Crystal Structure Determination

description: Related Article: Xiaomei Ye, Dongming Wang, Kangrui Yuan, Yiping Dong, Zhi Chen, Chaobo Huang, Zhiqiang Yu, Dudu Wu|2020|J.Mol.Struct.|1225|129094|doi:10.1016/j.molstruc.2020.129094
DOI: 10.25505/fiz.icsd.cc24d6lc
title: CSD 1977942: Experimental Crystal Structure Determination

description: Related Article: Daniel S. Cook, Guy J. Clarkson, Daniel M. Dawson, Sharon E. Ashbrook, Janet M. Fisher, David Thompsett, David M. Pickup, Alan V. Chadwick, Richard I. Walton|2018|Inorg.Chem.|57|11217|doi:10.1021/acs.inorgchem.8b01797
DOI: 10.25505/fiz.icsd.cc24d6md
title: CSD 1977943: Experimental Crystal Structure Determination

description: Related Article: Daniel S. Cook, Guy J. Clarkson, Daniel M. Dawson, Sharon E. Ashbrook, Janet M. Fisher, David Thompsett, David M. Pickup, Alan V. Chadwick, Richard I. Walton|2018|Inorg.Chem.|57|11217|doi:10.1021/acs.inorgchem.8b01797
DOI: 10.5517/ccdc.csd.cc24g7zv
title: CCDC 1979907: Experimental Crystal Structure Determination

description: Related Article: Shaoguang Zhang,  Peng Cui,  Tianchang Liu,  Qiuran Wang,  Thomas J. Longo,  Laura M. Thierer,  Brian C. Manor,  Michael R. Gau,  Patrick J. Carroll,  Georgia C. Papaefthymiou,  Neil C. Tomson|2020|Angew.Chem.,Int.Ed.|59|15215|doi:10.1002/anie.202006391
DOI: 10.5519/qd.tjc0lbyb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc24g80x
title: CCDC 1979908: Experimental Crystal Structure Determination

description: Related Article: Shaoguang Zhang,  Peng Cui,  Tianchang Liu,  Qiuran Wang,  Thomas J. Longo,  Laura M. Thierer,  Brian C. Manor,  Michael R. Gau,  Patrick J. Carroll,  Georgia C. Papaefthymiou,  Neil C. Tomson|2020|Angew.Chem.,Int.Ed.|59|15215|doi:10.1002/anie.202006391
DOI: 10.5517/ccdc.csd.cc24g81y
title: CCDC 1979909: Experimental Crystal Structure Determination

description: Related Article: Shaoguang Zhang,  Peng Cui,  Tianchang Liu,  Qiuran Wang,  Thomas J. Longo,  Laura M. Thierer,  Brian C. Manor,  Michael R. Gau,  Patrick J. Carroll,  Georgia C. Papaefthymiou,  Neil C. Tomson|2020|Angew.Chem.,Int.Ed.|59|15215|doi:10.1002/anie.202006391
DOI: 10.5517/ccdc.csd.cc24g82z
title: CCDC 1979910: Experimental Crystal Structure Determination

description: Related Article: Shaoguang Zhang,  Peng Cui,  Tianchang Liu,  Qiuran Wang,  Thomas J. Longo,  Laura M. Thierer,  Brian C. Manor,  Michael R. Gau,  Patrick J. Carroll,  Georgia C. Papaefthymiou,  Neil C. Tomson|2020|Angew.Chem.,Int.Ed.|59|15215|doi:10.1002/anie.202006391
DOI: 10.5517/ccdc.csd.cc24g830
title: CCDC 1979911: Experimental Crystal Structure Determination

description: Related Article: Shaoguang Zhang,  Peng Cui,  Tianchang Liu,  Qiuran Wang,  Thomas J. Longo,  Laura M. Thierer,  Brian C. Manor,  Michael R. Gau,  Patrick J. Carroll,  Georgia C. Papaefthymiou,  Neil C. Tomson|2020|Angew.Chem.,Int.Ed.|59|15215|doi:10.1002/anie.202006391
DOI: 10.5517/ccdc.csd.cc24rz2z
title: CCDC 1989241: Experimental Crystal Structure Determination

description: Related Article: Cholpisut Tantapakul, Boonyanoot Chaiyosang, Trinop Promgool, Apisara Somteds, Virayu Suthiphasilp, Kwanjai Kanokmedhakul, Surat Laphookhieo, Raymond J. Andersen, Brian O. Patrick, Somdej Kanokmedhakul|2020|Phytochemistry|177|112439|doi:10.1016/j.phytochem.2020.112439
DOI: 10.5517/ccdc.csd.cc24rz30
title: CCDC 1989242: Experimental Crystal Structure Determination

description: Related Article: Cholpisut Tantapakul, Boonyanoot Chaiyosang, Trinop Promgool, Apisara Somteds, Virayu Suthiphasilp, Kwanjai Kanokmedhakul, Surat Laphookhieo, Raymond J. Andersen, Brian O. Patrick, Somdej Kanokmedhakul|2020|Phytochemistry|177|112439|doi:10.1016/j.phytochem.2020.112439
DOI: 10.5517/ccdc.csd.cc24rz41
title: CCDC 1989243: Experimental Crystal Structure Determination

description: Related Article: Cholpisut Tantapakul, Boonyanoot Chaiyosang, Trinop Promgool, Apisara Somteds, Virayu Suthiphasilp, Kwanjai Kanokmedhakul, Surat Laphookhieo, Raymond J. Andersen, Brian O. Patrick, Somdej Kanokmedhakul|2020|Phytochemistry|177|112439|doi:10.1016/j.phytochem.2020.112439
DOI: 10.5517/ccdc.csd.cc24y7kx
title: CCDC 1994309: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2020|Cryst.Growth Des.|20|5843|doi:10.1021/acs.cgd.0c00468
DOI: 10.5517/ccdc.csd.cc24y7ly
title: CCDC 1994310: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2020|Cryst.Growth Des.|20|5843|doi:10.1021/acs.cgd.0c00468
DOI: 10.5517/ccdc.csd.cc24y7mz
title: CCDC 1994311: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2020|Cryst.Growth Des.|20|5843|doi:10.1021/acs.cgd.0c00468
DOI: 10.5517/ccdc.csd.cc24y7n0
title: CCDC 1994312: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2020|Cryst.Growth Des.|20|5843|doi:10.1021/acs.cgd.0c00468
DOI: 10.5517/ccdc.csd.cc24y7p1
title: CCDC 1994313: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2020|Cryst.Growth Des.|20|5843|doi:10.1021/acs.cgd.0c00468
DOI: 10.5517/ccdc.csd.cc24y7q2
title: CCDC 1994314: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2020|Cryst.Growth Des.|20|5843|doi:10.1021/acs.cgd.0c00468
DOI: 10.21227/pd4h-km36
title: Landscape pattern evolution of mining cites under the influence of mining activity and terrain gradient

description: The data are associated with a submitted journal paper.
DOI: 10.21227/v6bc-tk32
title: Landscape pattern evolution of mining cites under the influence of mining activity and terrain gradient

description: The data are associated with a submitted journal paper.
DOI: 10.6084/m9.figshare.12612785
title: SDMs_have_limited_transferability

description: Chunlong Liu, Christian Wolter, Weiwei Xian, and Jonathan M. Jeschke (2020) “Species distribution models have limited spatial transferability for invasive species.” Ecology Letters. The code used for conducting all analyses, and producing the corresponding figures and tables in the main manuscript. All data supporting the results are available in Table S1. For more information see readme file (readme_ModelTransferability.txt)
DOI: 10.25345/c52475
title: MassIVE MSV000086109 - GNPS - Moorena bouillonii extracts
title: Field-collected and/or laboratory-cultured biomass of the tropical marine benthic filamentous cyanobacterium Moorena bouillonii. Originating from collection sites around Guam, Saipan (Commonwealth of the Northern Mariana Islands), Palmyra Atoll, Papua New Guinea, American Samoa, Kavaratti (Lakshadweep, India), the Paracel Islands (Xisha, China), the Solomon Islands, and the Red Sea (via Egypt). Crude extracts generated with 2:1 dichloromethane and methanol, concentrated and resuspended in acetonitrile, desalted across C18 SPE with acetonitrile. Samples were resuspended in LC-MS grade methanol containing 2uM sulfamethazine as internal standard. LC-MS/MS was performed in an UltiMate 3000 UPLC system (Thermo Scientific) using a Kinetex 1.7 um C18 reversed phase UHPLC column (50 X 2.1 mm) and Maxis Impact Q-TOF mass spectrometer (Bruker Daltonics) equipped with ESI source. Data was acquired in positive ion mode.
DOI: 10.6084/m9.figshare.12932615
title: S1TheNewYorkTimes.txt

description: For HUIWEN LI's dissertation.
DOI: 10.6084/m9.figshare.12932012
title: Long-term effects of 7-year warming experiment in the field on leaf hydraulic and economic traits of subtropical tree species

description: Rising temperature associated with climate change may have substantial impacts on forest tree functions. We conducted a 7-year warming experiment in sub-tropical China by translocating important native forest tree species (<i>Machilas breviflora</i>, <i>Syzygium rehderianum</i>,<i> Schima superba</i> and <i>Itea chinensis</i>) from cooler high-elevation-sites (600 m) to 1-2 ℃ warmer low-elevation-sites (300 and 30 m) to investigate warming effects on leaf hydraulic and economic traits. Here, we report data from the last three years (Years 5-7) of the experiment. Warming increased leaf hydraulic conductance (K<sub>leaf</sub>) of <i>S. superba </i>to meet the higher evaporative demand. <i>M. breviflora </i>(300 m), <i>S. rehderianum</i>,<i> S. superba</i> and <i>I. chinensis </i>(300 m and 30 m) exhibited higher area-based and mass-based maximum photosynthetic rates (A<sub>a</sub> and A<sub>m</sub>, respectively) related to increasing stomatal conductance (g<sub>s</sub>) and stomatal density in the wet season, which led to rapid growth; however, we observed decreased growth of <i>M. breviflora </i>at 30 m due to lower stomatal density and decreased A<sub>a</sub> in the wet season. Warming increased photosynthetic nitrogen use efficiency (PNUE) and photosynthetic phosphorus use efficiency (PPUE), but reduced leaf dry mass per unit area (LMA) due to lower leaf thickness, suggesting that these tree species allocated more resources into upregulating photosynthesis rather than into structural investment. Our findings highlight that there was trait variation in the capacity of trees to acclimate to warmer temperatures such that<i> I. chinensis </i>may benefit from warming, but <i>S. superba</i> may be negatively influenced by warming in future climates.
DOI: 10.5517/ccdc.csd.cc24y7r3
title: CCDC 1994315: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Carol Hua|2020|Cryst.Growth Des.|20|5843|doi:10.1021/acs.cgd.0c00468
DOI: 10.5517/ccdc.csd.cc24ycyf
title: CCDC 1994445: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Artem S. Bogomyakov, Roman V. Rumyantsev, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Mol.Struct.|1225|129092|doi:10.1016/j.molstruc.2020.129092
DOI: 10.5517/ccdc.csd.cc24yczg
title: CCDC 1994446: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Artem S. Bogomyakov, Roman V. Rumyantsev, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Mol.Struct.|1225|129092|doi:10.1016/j.molstruc.2020.129092
DOI: 10.5517/ccdc.csd.cc24yd0j
title: CCDC 1994447: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Artem S. Bogomyakov, Roman V. Rumyantsev, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Mol.Struct.|1225|129092|doi:10.1016/j.molstruc.2020.129092
DOI: 10.5517/ccdc.csd.cc24yd1k
title: CCDC 1994448: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Artem S. Bogomyakov, Roman V. Rumyantsev, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Mol.Struct.|1225|129092|doi:10.1016/j.molstruc.2020.129092
DOI: 10.5517/ccdc.csd.cc24yd2l
title: CCDC 1994449: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Artem S. Bogomyakov, Roman V. Rumyantsev, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Mol.Struct.|1225|129092|doi:10.1016/j.molstruc.2020.129092
DOI: 10.5517/ccdc.csd.cc24yd3m
title: CCDC 1994450: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Artem S. Bogomyakov, Roman V. Rumyantsev, Georgy K. Fukin, Alexandr V. Piskunov|2020|J.Mol.Struct.|1225|129092|doi:10.1016/j.molstruc.2020.129092
DOI: 10.5517/ccdc.csd.cc20wmdy
title: CCDC 1873590: Experimental Crystal Structure Determination

description: Related Article: Tuğba AYCAN, Filiz ÖZTÜRK, Serkan DEMİR, Nilgün ÖZDEMİR, Hümeyra PAŞAOĞLU|2021|J.Mol.Struct.|1225|129043|doi:10.1016/j.molstruc.2020.129043
DOI: 10.5517/ccdc.csd.cc251v03
title: CCDC 1997764: Experimental Crystal Structure Determination

description: Related Article: Koichiro Ota|2020|CSD Communication|||
DOI: 10.6084/m9.figshare.3761562.v1601
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.12932612
title: Supplementary Material for: A Comparative Analysis of Allergen Proteins between Plants and Animals Using Several Computational Tools and Chou’s PseAAC Concept

description: <b><i>Background:</i></b> A large number of allergens are derived from plant and animal proteins. A major challenge for researchers is to study the possible allergenic properties of proteins. The aim of this study was in silico analysis and comparison of several physiochemical and structural features of plant- and animal-derived allergen proteins, as well as classifying these proteins based on Chou’s pseudo-amino acid composition (PseAAC) concept combined with bioinformatics algorithms. <b><i>Methods:</i></b> The physiochemical properties and secondary structure of plant and animal allergens were studied. The classification of the sequences was done using the PseAAC concept incorporated with the deep learning algorithm. Conserved motifs of plant and animal proteins were discovered using the MEME tool. B-cell and T-cell epitopes of the proteins were predicted in conserved motifs. Allergenicity and amino acid composition of epitopes were also analyzed via bioinformatics servers. <b><i>Results:</i></b> In comparison of physiochemical features of animal and plant allergens, extinction coefficient was different significantly. Secondary structure prediction showed more random coiled structure in plant allergen proteins compared with animal proteins. Classification of proteins based on PseAAC achieved 88.24% accuracy. The amino acid composition study of predicted B- and T-cell epitopes revealed more aliphatic index in plant-derived epitopes. <b><i>Conclusions:</i></b> The results indicated that bioinformatics-based studies could be useful in comparing plant and animal allergens.
DOI: 10.6084/m9.figshare.12932597
title: Supplementary Material for: Cell-Free DNA Testing: What Is the Reason Why High-Risk Women Choose It?

description: <b><i>Objective:</i></b> The aim of the study wasto describe the past medical history, sociodemographic, and pregnancy characteristics of women at high risk for aneuploidy and to determine which factors are related to her choice of cell-free DNA (cfDNA) testing instead of invasive diagnostic testing. <b><i>Methods:</i></b> We conducted a prospective descriptive study including pregnant women from the Western Barcelona public health area at high risk for fetal aneuploidy, defined as a trisomy 21 or 18 risk between 1/10 and 1/250 at the combined first-trimester or at the second-trimester biochemical screening. During 1 year (December 2018 to November 2019), these women were asked to fill in a confidential questionnaire about her past medical history, demographic and pregnancy characteristics, and her opinion about termination of the pregnancy after a counseling consultation with a maternal-fetal medicine specialist in which advantages and disadvantages of both testing methods, cfDNA or diagnostic testing, were discussed. Logistic regression analysis was used to determine which factors were related with cfDNA uptake. <b><i>Results:</i></b> During the study period, 82 pregnant women filled the questionnaire. The median maternal age was 39.6 years (interquartile range [IQR] 37.3–40.9 years), and 73 (89%) of them were 35 years or older. Forty-three (52%) women opted for cfDNA testing, while 39 (48%) chose invasive diagnosis. In a logistic regression analysis, the use of assisted reproductive techniques (OR 13.03; 95% CI: 1.47–115.56; <i>p</i> = 0.021) and Latin American origin (OR 6.66; 95% CI 1.73–25.66; <i>p</i> = 0.006) were shown to be related to a higher cfDNA uptake. In contrast, nonreligious women (OR 0.21; 95% CI: 0.06–0.72; <i>p</i> = 0.013) and a favorable opinion about termination of pregnancy (OR 0.23; 95% CI: 0.06–0.92; <i>p</i> = 0.037) were related with a lower uptake. <b><i>Conclusion:</i></b> Half of the pregnant women at high risk for fetal aneuploidy opted for cfDNA testing. The main reason to choose cfDNA was avoiding the risk of pregnancy loss. Women using assisted reproductive techniques and those of Latin American origin preferred cfDNA testing, while nonreligious women and those with a favorable opinion on termination pregnancy preferred invasive testing.
DOI: 10.6084/m9.figshare.3761562.v1602
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25959/5f587b9cedd7a
title: IODP-L183-U1138 Scientific Drilling Kerguelen Plateau
DOI: 10.6084/m9.figshare.12932657
title: text data for HUIWEN LI's dissertation.rar

description: text data for HUIWEN LI's dissertation.
DOI: 10.5281/zenodo.4019270
title: Wikidata Dump

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.4019269
title: Wikidata Dump

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