cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc29l67c
title: CCDC 2132652: Experimental Crystal Structure Determination

description: Related Article: Mingxu Cui, Herman H. Y. Sung, Ian D. Williams, Guochen Jia|2022|J.Am.Chem.Soc.|144|6349|doi:10.1021/jacs.2c00368
DOI: 10.5517/ccdc.csd.cc29wzfm
title: CCDC 2142051: Experimental Crystal Structure Determination

description: Related Article: Dmitry A. Gruzdev, Angelina A. Telegina, Galina L. Levit, Victor P. Krasnov|2022|J.Org.Chem.|87|5437|doi:10.1021/acs.joc.2c00151
DOI: 10.5517/ccdc.csd.cc29wzgn
title: CCDC 2142052: Experimental Crystal Structure Determination

description: Related Article: Dmitry A. Gruzdev, Angelina A. Telegina, Galina L. Levit, Victor P. Krasnov|2022|J.Org.Chem.|87|5437|doi:10.1021/acs.joc.2c00151
DOI: 10.5517/ccdc.csd.cc29ymd9
title: CCDC 2143631: Experimental Crystal Structure Determination

description: Related Article: Wei Hu, Chao Pi, Di Hu, Xiliang Han, Yangjie Wu, Xiuling Cui|2022|Org.Lett.|24|2613|doi:10.1021/acs.orglett.2c00580
DOI: 10.5517/ccdc.csd.cc29ymfb
title: CCDC 2143632: Experimental Crystal Structure Determination

description: Related Article: Wei Hu, Chao Pi, Di Hu, Xiliang Han, Yangjie Wu, Xiuling Cui|2022|Org.Lett.|24|2613|doi:10.1021/acs.orglett.2c00580
DOI: 10.5517/ccdc.csd.cc29z71l
title: CCDC 2144209: Experimental Crystal Structure Determination

description: Related Article: Nishya F. M. Mukthar, Nathan D. Schley, Gaël Ung|2022|J.Am.Chem.Soc.|144|6148|doi:10.1021/jacs.2c01134
DOI: 10.5517/ccdc.csd.cc29z72m
title: CCDC 2144210: Experimental Crystal Structure Determination

description: Related Article: Nishya F. M. Mukthar, Nathan D. Schley, Gaël Ung|2022|J.Am.Chem.Soc.|144|6148|doi:10.1021/jacs.2c01134
DOI: 10.5517/ccdc.csd.cc2b7fpq
title: CCDC 2152103: Experimental Crystal Structure Determination

description: Related Article: Jaehee Lee, Xuan Ju, Miseon Lee, Qi Jiang, Hwanjong Jang, Wan Shin Kim, Linglin Wu, Suja Williams, Xiao-Jun Wang, Xingzhong Zeng, Jenna Payne, Zhengxu S. Han|2022|Org.Lett.|24|2655|doi:10.1021/acs.orglett.2c00703
DOI: 10.5517/ccdc.csd.cc2b7fqr
title: CCDC 2152104: Experimental Crystal Structure Determination

description: Related Article: Jaehee Lee, Xuan Ju, Miseon Lee, Qi Jiang, Hwanjong Jang, Wan Shin Kim, Linglin Wu, Suja Williams, Xiao-Jun Wang, Xingzhong Zeng, Jenna Payne, Zhengxu S. Han|2022|Org.Lett.|24|2655|doi:10.1021/acs.orglett.2c00703
DOI: 10.5517/ccdc.csd.cc2bbcsv
title: CCDC 2154927: Experimental Crystal Structure Determination

description: Related Article: Xue Zhang, Shunian Li, Wenjing Yu, Yufang Xie, Chen-Ho Tung, Zhenghu Xu|2022|J.Am.Chem.Soc.|144|6200|doi:10.1021/jacs.2c02563
DOI: 10.5517/ccdc.csd.cc2bcj6g
title: CCDC 2156025: Experimental Crystal Structure Determination

description: Related Article: Xue Zhang, Shunian Li, Wenjing Yu, Yufang Xie, Chen-Ho Tung, Zhenghu Xu|2022|J.Am.Chem.Soc.|144|6200|doi:10.1021/jacs.2c02563
DOI: 10.5517/ccdc.csd.cc2bkjxc
title: CCDC 2161813: Experimental Crystal Structure Determination

description: Related Article: Megan M. Solans, Vitalii S. Basistyi, James A. Law, Noah M. Bartfield, James H. Frederich|2022|J.Am.Chem.Soc.|144|6193|doi:10.1021/jacs.2c02144
DOI: 10.5517/ccdc.csd.cc2bm88j
title: CCDC 2163467: Experimental Crystal Structure Determination

description: Related Article: Megan M. Solans, Vitalii S. Basistyi, James A. Law, Noah M. Bartfield, James H. Frederich|2022|J.Am.Chem.Soc.|144|6193|doi:10.1021/jacs.2c02144
DOI: 10.6084/m9.figshare.12490541
title: Metabolomic profiles of mid-trimester amniotic fluid are not associated with subsequent spontaneous preterm delivery or gestational duration at delivery

description: Spontaneous preterm delivery (&lt;37 gestational weeks) has a multifactorial etiology with still incompletely identified pathways. Amniotic fluid is a biofluid with great potential for insights into the feto-maternal milieu. It is rich in metabolites, and metabolic consequences of inflammation is yet researched only to a limited extent. Metabolomic profiling provides opportunities to identify potential biomarkers of inflammatory conditioned pregnancy complications such as spontaneous preterm delivery. The aim of this study was to perform metabolomic profiling of amniotic fluid from uncomplicated singleton pregnancies in the mid-trimester to identify potential biomarkers associated with spontaneous preterm delivery and gestational duration at delivery. A secondary aim was to replicate previously reported mid-trimester amniotic fluid metabolic biomarkers of spontaneous preterm delivery in asymptomatic women. A nested case-control study was performed within a larger cohort study of asymptomatic pregnant women undergoing mid-trimester genetic amniocentesis at 14–19 gestational weeks in Gothenburg, Sweden. Medical records were used to obtain clinical data and delivery outcome variables. Amniotic fluid samples from women with a subsequent spontaneous preterm delivery (<i>n</i> = 37) were matched with amniotic fluid samples from women with a subsequent spontaneous delivery at term (<i>n</i> = 37). Amniotic fluid samples underwent untargeted metabolomic analyses using liquid chromatography-mass spectrometry. Multivariate random forest analyses were used for data processing. A secondary targeted analysis was performed, aiming to replicate previously reported mid-trimester amniotic fluid metabolic biomarkers in women with a subsequent spontaneous preterm delivery. Multivariate analysis did not distinguish the samples from women with a subsequent spontaneous preterm delivery from those with a subsequent term delivery. Neither was the metabolic profile associated with gestational duration at delivery. Potential metabolic biomarker candidates were identified from four publications by two different research groups relating mid-trimester amniotic fluid metabolomes to spontaneous PTD, of which fifteen markers were included in the secondary analysis. None of these were replicated. Metabolomic profiles of early mid-trimester amniotic fluid were not associated with spontaneous preterm delivery or gestational duration at delivery in this cohort.
DOI: 10.6084/m9.figshare.12490541.v1
title: Metabolomic profiles of mid-trimester amniotic fluid are not associated with subsequent spontaneous preterm delivery or gestational duration at delivery

description: Spontaneous preterm delivery (&lt;37 gestational weeks) has a multifactorial etiology with still incompletely identified pathways. Amniotic fluid is a biofluid with great potential for insights into the feto-maternal milieu. It is rich in metabolites, and metabolic consequences of inflammation is yet researched only to a limited extent. Metabolomic profiling provides opportunities to identify potential biomarkers of inflammatory conditioned pregnancy complications such as spontaneous preterm delivery. The aim of this study was to perform metabolomic profiling of amniotic fluid from uncomplicated singleton pregnancies in the mid-trimester to identify potential biomarkers associated with spontaneous preterm delivery and gestational duration at delivery. A secondary aim was to replicate previously reported mid-trimester amniotic fluid metabolic biomarkers of spontaneous preterm delivery in asymptomatic women. A nested case-control study was performed within a larger cohort study of asymptomatic pregnant women undergoing mid-trimester genetic amniocentesis at 14–19 gestational weeks in Gothenburg, Sweden. Medical records were used to obtain clinical data and delivery outcome variables. Amniotic fluid samples from women with a subsequent spontaneous preterm delivery (<i>n</i> = 37) were matched with amniotic fluid samples from women with a subsequent spontaneous delivery at term (<i>n</i> = 37). Amniotic fluid samples underwent untargeted metabolomic analyses using liquid chromatography-mass spectrometry. Multivariate random forest analyses were used for data processing. A secondary targeted analysis was performed, aiming to replicate previously reported mid-trimester amniotic fluid metabolic biomarkers in women with a subsequent spontaneous preterm delivery. Multivariate analysis did not distinguish the samples from women with a subsequent spontaneous preterm delivery from those with a subsequent term delivery. Neither was the metabolic profile associated with gestational duration at delivery. Potential metabolic biomarker candidates were identified from four publications by two different research groups relating mid-trimester amniotic fluid metabolomes to spontaneous PTD, of which fifteen markers were included in the secondary analysis. None of these were replicated. Metabolomic profiles of early mid-trimester amniotic fluid were not associated with spontaneous preterm delivery or gestational duration at delivery in this cohort.
DOI: 10.6084/m9.figshare.14904825
title: Yap hadal snailfish (YHS) genome

description: Genome assembly and annotation files of a snailfish from Yap hadal trench living at a depth of ~7,000 m. Related article " Whole genome sequencing of a snailfish from the Yap Trench (~7,000 m) clarifies the molecular mechanisms underlying adaptation to the deep sea" have published in Jounal PLoS Genetics. The Doi website of the article is https://doi.org/10.1371/journal.pgen.1009530. The sequencing data of this project are available from NCBI with the accession numbers of PRJNA512070 (DNA), PRJNA660667 (RNA), MZ254888 (16S), and MZ254756 (COI), and i's also available in CNSA with the accession number of CNP0000315.<br>
DOI: 10.6084/m9.figshare.14904825.v4
title: Yap hadal snailfish (YHS) genome

description: Genome assembly and annotation files of a snailfish from Yap hadal trench living at a depth of ~7,000 m. Related article " Whole genome sequencing of a snailfish from the Yap Trench (~7,000 m) clarifies the molecular mechanisms underlying adaptation to the deep sea" have published in Jounal PLoS Genetics. The Doi website of the article is https://doi.org/10.1371/journal.pgen.1009530. The sequencing data of this project are available from NCBI with the accession numbers of PRJNA512070 (DNA), PRJNA660667 (RNA), MZ254888 (16S), and MZ254756 (COI), and i's also available in CNSA with the accession number of CNP0000315.<br>
DOI: 10.6084/m9.figshare.19618125
title: HiC-project

description: my files
DOI: 10.6084/m9.figshare.19618125.v1
title: HiC-project

description: my files
DOI: 10.5281/zenodo.6471662
title: Intrinsic gene profiles in patients with non–small cell lung cancer

description: <strong>Intrinsic gene profiles in patients with non–small cell lung cancer</strong>
DOI: 10.5281/zenodo.6471661
title: Intrinsic gene profiles in patients with non–small cell lung cancer

description: <strong>Intrinsic gene profiles in patients with non–small cell lung cancer</strong>
DOI: 10.15784/601555
title: Royal Society Range Headland Moraine Belt Radiocarbon Data

description: This dataset contains radiocarbon dates of benthic algal (cyanobacterial) mats within moraines associated with Ross Sea drift on the headlands of the Royal Society Range and covers the time period ~12-20 ka.
DOI: 10.6084/m9.figshare.16802128
title: Data for "Acute resource pulses from periodical cicadas propagate to belowground food webs but do not affect tree performance"

description: The influence of resource pulse induced by periodical cicada bodies on soil fauna (nematodes and mites) communities, decomposition, soil nutrients, soil C and N, and American sycamore tree performance. See the "Metadata" tab in the Excel file for more details.
DOI: 10.6084/m9.figshare.16802128.v1
title: Data for "Acute resource pulses from periodical cicadas propagate to belowground food webs but do not affect tree performance"

description: The influence of resource pulse induced by periodical cicada bodies on soil fauna (nematodes and mites) communities, decomposition, soil nutrients, soil C and N, and American sycamore tree performance. See the "Metadata" tab in the Excel file for more details.
DOI: 10.25919/zkp5-z157
title: Parkes observations for project P1128 semester 2022APRS_01

description: This proposal requests 4 hours to carry out regular monitoring an eclipsing binary millisecond pulsar in the globular cluster NGC 6397, which we discovered with the Parkes UWL.
DOI: 10.18112/openneuro.ds004103.v1.0.0
title: Collaborations and deceptions in strategic interactions revealed by hyperscanning fMRI
DOI: 10.6084/m9.figshare.19618212
title: Additional file 3 of Diversity and distribution of sulfur metabolic genes in the human gut microbiome and their association with colorectal cancer

description: Additional file 2: Supplemental Table 1. Summary information for genes discussed in this study including abbreviations, full gene name, reaction the gene catalyzes, and HMM information. Supplemental Table 2. Summary table of HMM results where “gene” indicates that gene was found in the MAG and “N/A” indicates the gene was not found in the MAG. Supplemental Table 3. Summary values of participants and MAGs with and without sulfur genes. These data were used to generate dot plots. Supplemental Table 4. Summary of MAG genera and gene hits associated with each genera from the study in addition to any previous associations of that genera with colorectal cancer and production of H2S. Supplemental Table 5. MAGs associated with complete and partial taurine pathways. Supplemental Table 6. Results from chi squared tests for associations of gene presence with participant disease status. Both uncorrected and corrected p-values are reported. Supplemental Table 7. Results from ANOVA tests for associations between presence and absence of sulfur genes and stage of colorectal cancer. Both uncorrected and corrected p-values are reported. Supplemental Table 8. Growth rate values generated by iRep for indicator species of colorectal cancer for 4 of the 5 studies used in our work. Supplemental Table 9. Results from Kruskal Wallis analysis for differences in growth rates for the aggregate data for CRC versus healthy and each individual study including comparisons across CRC, healthy, and adenoma, if present. Supplemental Table 10. Summary of taxonomy of MAGs including classification from original paper constructing MAGs (assigned and closest designators), SILVA classification based on 16S rRNA sequences, and GTDB-tk classifications.
DOI: 10.6084/m9.figshare.19618212.v1
title: Additional file 3 of Diversity and distribution of sulfur metabolic genes in the human gut microbiome and their association with colorectal cancer

description: Additional file 2: Supplemental Table 1. Summary information for genes discussed in this study including abbreviations, full gene name, reaction the gene catalyzes, and HMM information. Supplemental Table 2. Summary table of HMM results where “gene” indicates that gene was found in the MAG and “N/A” indicates the gene was not found in the MAG. Supplemental Table 3. Summary values of participants and MAGs with and without sulfur genes. These data were used to generate dot plots. Supplemental Table 4. Summary of MAG genera and gene hits associated with each genera from the study in addition to any previous associations of that genera with colorectal cancer and production of H2S. Supplemental Table 5. MAGs associated with complete and partial taurine pathways. Supplemental Table 6. Results from chi squared tests for associations of gene presence with participant disease status. Both uncorrected and corrected p-values are reported. Supplemental Table 7. Results from ANOVA tests for associations between presence and absence of sulfur genes and stage of colorectal cancer. Both uncorrected and corrected p-values are reported. Supplemental Table 8. Growth rate values generated by iRep for indicator species of colorectal cancer for 4 of the 5 studies used in our work. Supplemental Table 9. Results from Kruskal Wallis analysis for differences in growth rates for the aggregate data for CRC versus healthy and each individual study including comparisons across CRC, healthy, and adenoma, if present. Supplemental Table 10. Summary of taxonomy of MAGs including classification from original paper constructing MAGs (assigned and closest designators), SILVA classification based on 16S rRNA sequences, and GTDB-tk classifications.
DOI: 10.6084/m9.figshare.19618224
title: Supplementary Figures for "TaupōInflate: illustrating detection limits of magmatic inflation below Lake Taupō" (Ellis et al., 2022)

description: Contains two supplementary figures: Supplementary Figure S1. Minimum resolvable inflating sphere volume at each station around Lake Taupō as a function of source depth and overpressure <br> Supplementary Figure 2. Detection of a melt body inflating with 10 MPa overpressure as a function of depth, for a source at Horomatangi Reefs in Lake Taupō, New Zealand.
DOI: 10.6084/m9.figshare.19618224.v1
title: Supplementary Figures for "TaupōInflate: illustrating detection limits of magmatic inflation below Lake Taupō" (Ellis et al., 2022)

description: Contains two supplementary figures: Supplementary Figure S1. Minimum resolvable inflating sphere volume at each station around Lake Taupō as a function of source depth and overpressure <br> Supplementary Figure 2. Detection of a melt body inflating with 10 MPa overpressure as a function of depth, for a source at Horomatangi Reefs in Lake Taupō, New Zealand.
DOI: 10.5519/qd.2wqejgpv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.6471539
title: Population Models of Rotating Field Stars in Kepler

description: Model populations are constructed using TRILEGAL galaxy models coupled to YREC stellar evolutionary models and a magnetic braking law, and are described in van Saders, Pinsonneault, & Barbieri, "Forward Modeling of the Kepler Stellar Rotation Period Distribution: Interpreting Periods from Mixed and Biased Stellar Populations," 2019, ApJ, 872, 128 and updated in Hall et al. 2021 (Nature Astronomy, 5, 707) to incorporate the Berger et al. 2020 (AJ, 159, 280) Kepler Stellar Properties Catalog. Two model populations are provided: one in which rotation is modeled with a "standard" magnetic braking law of the form in van Saders et al. 2013, and a second in which stars are subject to weakened magnetic braking past a critical Rossby number, Rocrit. Models can be unpacked with the hdf with pandas functionality, using key='sample'. The keys should be self-explanatory with the possible exception of "evo", which is the evolutionary state. Choose evo = 1 to select only the main sequence. If you use these models in your work, please cite van Saders et al. 2019, with an additional citation to Hall et al. 2021 appreciated.
DOI: 10.5281/zenodo.6471538
title: Population Models of Rotating Field Stars in Kepler

description: Model populations are constructed using TRILEGAL galaxy models coupled to YREC stellar evolutionary models and a magnetic braking law, and are described in van Saders, Pinsonneault, & Barbieri, "Forward Modeling of the Kepler Stellar Rotation Period Distribution: Interpreting Periods from Mixed and Biased Stellar Populations," 2019, ApJ, 872, 128 and updated in Hall et al. 2021 (Nature Astronomy, 5, 707) to incorporate the Berger et al. 2020 (AJ, 159, 280) Kepler Stellar Properties Catalog. Two model populations are provided: one in which rotation is modeled with a "standard" magnetic braking law of the form in van Saders et al. 2013, and a second in which stars are subject to weakened magnetic braking past a critical Rossby number, Rocrit. Models can be unpacked with the hdf with pandas functionality, using key='sample'. The keys should be self-explanatory with the possible exception of "evo", which is the evolutionary state. Choose evo = 1 to select only the main sequence. If you use these models in your work, please cite van Saders et al. 2019, with an additional citation to Hall et al. 2021 appreciated.
DOI: 10.34740/kaggle/dsv/3496229
title: BBC News
DOI: 10.6084/m9.figshare.19618893
title: Supplementary Material for: Nurse Caseload and Patient Survival in Hemodialysis Units: A Korean Nationwide Cohort Study

description: <b><i>Introduction:</i></b> The patient-to-nurse ratio is highly variable among dialysis facilities. However, there is little known about the association between nurse caseload and hemodialysis (HD) patient outcomes. We evaluated the association between patient-to-nurse ratio and mortality in the Korean patients undergoing HD. <b><i>Methods:</i></b> We used HD quality assessment data and National Health Insurance Service claim data from the year of 2013 for collecting demographic and clinical data. Altogether, 21,817 patients who participated in the HD quality assessment in 2013 were included in the study. Nurse caseload was defined as the number of HD sessions performed by a nurse per working day. The patients were divided into two groups according to the nurse caseload as follows: low nurse caseload group (≤6.0) and high nurse caseload group (&gt;6.0). We analyzed mortality risk based on nurse caseload using the Cox proportional hazard model. <b><i>Results:</i></b> The mean age was 59.1 years, and males accounted for 58.5%. The mean hemoglobin was 10.6 g/dL and albumin was 3.99 g/dL. At the mean follow-up duration of 51.7 (20.6) months, the ratio between low and high groups was 69.6% (15,184 patients) versus 30.4% (6,633 patients). The patients in the high nurse caseload group were older and showed lower levels of hemoglobin, albumin, calcium, and iron saturation and higher levels of phosphorus than those in the low nurse caseload group. A high nurse caseload was associated with a lower survival rate. In the adjusted Cox analysis, a high nurse caseload was an independent risk factor for all-cause mortality (hazard ratio 1.08; 95% confidence interval, 1.02–1.14; <i>p</i> = 0.01). <b><i>Conclusion:</i></b> High nurse caseload was associated with an increased mortality risk among the patients undergoing HD. Further prospective studies are needed to determine whether a caseload of nursing staff can improve the prognosis of HD patients.
DOI: 10.6084/m9.figshare.19618893.v1
title: Supplementary Material for: Nurse Caseload and Patient Survival in Hemodialysis Units: A Korean Nationwide Cohort Study

description: <b><i>Introduction:</i></b> The patient-to-nurse ratio is highly variable among dialysis facilities. However, there is little known about the association between nurse caseload and hemodialysis (HD) patient outcomes. We evaluated the association between patient-to-nurse ratio and mortality in the Korean patients undergoing HD. <b><i>Methods:</i></b> We used HD quality assessment data and National Health Insurance Service claim data from the year of 2013 for collecting demographic and clinical data. Altogether, 21,817 patients who participated in the HD quality assessment in 2013 were included in the study. Nurse caseload was defined as the number of HD sessions performed by a nurse per working day. The patients were divided into two groups according to the nurse caseload as follows: low nurse caseload group (≤6.0) and high nurse caseload group (&gt;6.0). We analyzed mortality risk based on nurse caseload using the Cox proportional hazard model. <b><i>Results:</i></b> The mean age was 59.1 years, and males accounted for 58.5%. The mean hemoglobin was 10.6 g/dL and albumin was 3.99 g/dL. At the mean follow-up duration of 51.7 (20.6) months, the ratio between low and high groups was 69.6% (15,184 patients) versus 30.4% (6,633 patients). The patients in the high nurse caseload group were older and showed lower levels of hemoglobin, albumin, calcium, and iron saturation and higher levels of phosphorus than those in the low nurse caseload group. A high nurse caseload was associated with a lower survival rate. In the adjusted Cox analysis, a high nurse caseload was an independent risk factor for all-cause mortality (hazard ratio 1.08; 95% confidence interval, 1.02–1.14; <i>p</i> = 0.01). <b><i>Conclusion:</i></b> High nurse caseload was associated with an increased mortality risk among the patients undergoing HD. Further prospective studies are needed to determine whether a caseload of nursing staff can improve the prognosis of HD patients.