cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23623938.v1
title: Supplementary Material for: Course of duration and trigger factors of vertigo attacks in patients with benign recurrent vertigo, Menière’s disease or vestibular migraine

description: Introduction: Benign Recurrent Vertigo (BRV), Menière's Disease (MD) and Vestibular Migraine (VM) show many similarities with regard to the course of vertigo attacks and clinical features. In this paper we elaborate on the decreasing frequency of vertigo attacks observed in a previous study from our group by exploring changes in the duration and trigger factors of vertigo attacks in patients with BRV, MD or VM. Methods: For this 3-year prospective cohort study in our tertiary referral center we recruited patients with a confirmed diagnosis of BRV, MD or VM by a neurologist and otorhinolaryngologist in our center in 2015-2016. A study-specific questionnaire was used to assess the usual duration of vertigo attacks and their potential triggers every 6 months. Main outcome measures were changes in duration and trigger factors of vertigo attacks in the subgroups of patients with persisting attacks, which were analyzed using repeated measures logistic regression models. Results: 121 patients were included (BRV: n=44; MD: n=43; VM: n=34) of whom 117 completed the 3-year follow-up period and 57 (48.7%) kept reporting vertigo attacks at one more follow-up measurements. None of the diagnosis groups showed statistically significant shortening of attack duration at the subsequent annual follow-up measurements compared to baseline. At baseline, stress and fatigue being reported as triggers for attacks differed significantly between the three groups (stress: BRV 40.9%, MD 62.8%, VM 76.5%, p=0.005; fatigue: BRV 31.0%, MD 48.8%, VM 68.8%, p=0.003). In the VM group a consistent reduction of stress and fatigue as triggers was observed up until the 24- and the 30-month follow-up measurements, respectively, with odds ratios (ORs) ranging from 0.15 to 0.33 (all p&lt;0.05). In the MD group a consistent reduction of head movements as trigger was observed from the 24-month measurement onward (ORs ranging from 0.07 to 0.11, all p&lt;0.05). Discussion/Conclusion: Our study showed no reduction in vertigo attack duration over time in patients with BRV, MD and VM who remain to have vertigo attacks. In VM and MD patients with persisting vertigo attacks stress, fatigue and head movements became less predominant triggers for vertigo attacks.
DOI: 10.6084/m9.figshare.23791050
title: Supplementary Material for: Association of maternal cigarette smoking with neonatal death: a population-based cohort study

description: Background: Maternal pregnancy smoking have adverse perinatal outcomes and the relationship between maternal smoking and neonatal death have not been fully elucidated. We aimed to examine the risk of neonatal death in relation to maternal smoking and to quantify potential mediators of these associations. Methods: We did a population-based cohort study using Period Linked Birth-Infant Death data from 2016 to 2019 in the US National Vital Statistics System. The exposure was maternal smoking status. The main outcome was neonatal death. Association between maternal smoking and neonatal death was estimated through logistic regression. Mediation analysis was performed to assess the extent to which the association between maternal smoking and neonatal death was mediated by neonatal complications. Results: The final sample consisted of 14717020 mothers with live singleton births. The overall neonatal mortality rate was 2.2 per 1000 live births. Maternal pregnancy smoking was associated with an increased risk of neonatal death (aOR, 1.33 [95%CI, 1.28-1.38]; P&lt;.001), while smoking cessation during the whole pregnancy showed a comparable risk of neonatal death with non-smokers (aOR,1.06 [95%CI, 0.99-1.14]; P=0.116). Mediation analysis indicated that the association between pregnancy smoking and neonatal death might be mainly mediated by preterm birth and low Apgar score at 5min. Conclusions: Maternal pregnancy smoking, regardless of pregnancy trimester and intensity, was associated with increased risk of neonatal death. Efforts are needed for policymakers to promote smoking cessation before pregnancy and professional perinatal care should be provided for those who smoked during pregnancy.
DOI: 10.6084/m9.figshare.23591685
title: Supplementary Material for: White and grey matter perfusion in children with moyamoya angiopathy after revascularization surgery

description: Introduction: Surgical revascularization is very effective in patients with moyamoya angiopathy (MMA) and leads to improvements in cortical perfusion parameters. However, changes in white matter hemodynamics are still underestimated. To date, only a few studies have examined brain perfusion changes within deep white matter after bypass surgery in patients with MMA. Methods: Ten children with moyamoya angiopathy were evaluated using the CT perfusion technique before and after revascularization surgery. Brain perfusion parameters within grey and white matter were compared before and after surgery. The correlations between the perfusion parameters before surgery and the Suzuki stage, as well as between the perfusion parameters and the cognitive scores, were also evaluated. Results: Brain perfusion parameters improved significantly in both grey matter (predominantly due to cerebral blood flow within the anterior circulation, p &lt; 0.01) and white matter (predominantly due to cerebral blood volume within the semiovale centrum, p &lt; 0.001). We revealed that the pattern of improvement in perfusion in white matter differed from the pattern of improvement in perfusion in grey matter. Significant correlations were revealed between the Suzuki stage before surgery and the perfusion parameters within the posterior cerebral artery circulation (adjusted p &lt; 0.05) were revealed. There were also significant correlations between cognitive scores and brain perfusion parameters in grey matter and white matter (adjusted p &lt; 0.05). Conclusions: The perfusion parameters of grey matter and white matter in the brain improve differently after bypass surgery in patients with MMA. Different hemodynamics within these compartments could explain this.
DOI: 10.6084/m9.figshare.23591685.v1
title: Supplementary Material for: White and grey matter perfusion in children with moyamoya angiopathy after revascularization surgery

description: Introduction: Surgical revascularization is very effective in patients with moyamoya angiopathy (MMA) and leads to improvements in cortical perfusion parameters. However, changes in white matter hemodynamics are still underestimated. To date, only a few studies have examined brain perfusion changes within deep white matter after bypass surgery in patients with MMA. Methods: Ten children with moyamoya angiopathy were evaluated using the CT perfusion technique before and after revascularization surgery. Brain perfusion parameters within grey and white matter were compared before and after surgery. The correlations between the perfusion parameters before surgery and the Suzuki stage, as well as between the perfusion parameters and the cognitive scores, were also evaluated. Results: Brain perfusion parameters improved significantly in both grey matter (predominantly due to cerebral blood flow within the anterior circulation, p &lt; 0.01) and white matter (predominantly due to cerebral blood volume within the semiovale centrum, p &lt; 0.001). We revealed that the pattern of improvement in perfusion in white matter differed from the pattern of improvement in perfusion in grey matter. Significant correlations were revealed between the Suzuki stage before surgery and the perfusion parameters within the posterior cerebral artery circulation (adjusted p &lt; 0.05) were revealed. There were also significant correlations between cognitive scores and brain perfusion parameters in grey matter and white matter (adjusted p &lt; 0.05). Conclusions: The perfusion parameters of grey matter and white matter in the brain improve differently after bypass surgery in patients with MMA. Different hemodynamics within these compartments could explain this.
DOI: 10.6084/m9.figshare.23566068
title: Supplementary Material for: Real World Use of AKI Biomarkers: A Quality Improvement Project Using Urinary Tissue Inhibitor Metallo-protease-2 and Insulin-like Growth Factor Binding Protein 7 ([TIMP-2]*[IGFBP7])

description: Introduction. Novel urinary biomarkers, including Tissue Inhibitor Metallo-protease-2 and Insulin-like Growth Factor Binding Protein 7 ([TIMP-2]*[IGFBP7]), have been developed to identify patients at risk for acute kidney injury (AKI). We investigated the “real world” clinical utility of [TIMP-2]*[IGFBP7] in preventing AKI. Methods. We performed a prospective single-center quality improvement study of intensive care unit (ICU) patients at risk for severe (KDIGO stage 2 or 3) AKI. In the prospective cohort, ICU providers were allowed to order [TIMP-2]*[IGFBP7] for patients at their discretion, then offered AKI practice recommendations based on the result. Outcomes were compared to a historical cohort in which biomarker values were not reported to clinical teams. Results. There was no difference in 7-day progression to severe AKI between the prospective (n=116) and historical cohorts (n=63) when [TIMP-2]*[IGFBP7] ≥0.3 (24(28%) vs 8(21%), p=0.38) despite more stage 1 AKI at time of biomarker measurement in the prospective cohort (58(67%) vs 9(23%), p&lt;0.001). In the prospective cohort, patients with higher [TIMP-2]*[IGFBP7] values were more likely to receive a nephrology consult. Early consultation (within 24 hours of biomarker measurement, n=20) had a nonsignificant trends towards net negative volume balance (-1787mL(6716mL) vs +4974mL(15540mL)) and more diuretic use (19(95%) vs 8(80%)), and was associated with less severe AKI (9(45%) vs 10(100%), p=0.004) and inpatient dialysis (2(10%) vs 7(70%), p=0.002) compared to delayed consultation (n=10). Discussion/Conclusions. Despite the prospective cohort having more preexisting stage 1 AKI, there were equal rates of progression to severe AKI in the prospective and historical cohorts. In the setting of [TIMP-2]*[IGFBP7] reporting, there were more nephrology consults in response to elevated biomarker levels. Early nephrology consultation resulted in improved volume balance and favorable outcomes compared to delayed consultation.
DOI: 10.6084/m9.figshare.23566068.v1
title: Supplementary Material for: Real World Use of AKI Biomarkers: A Quality Improvement Project Using Urinary Tissue Inhibitor Metallo-protease-2 and Insulin-like Growth Factor Binding Protein 7 ([TIMP-2]*[IGFBP7])

description: Introduction. Novel urinary biomarkers, including Tissue Inhibitor Metallo-protease-2 and Insulin-like Growth Factor Binding Protein 7 ([TIMP-2]*[IGFBP7]), have been developed to identify patients at risk for acute kidney injury (AKI). We investigated the “real world” clinical utility of [TIMP-2]*[IGFBP7] in preventing AKI. Methods. We performed a prospective single-center quality improvement study of intensive care unit (ICU) patients at risk for severe (KDIGO stage 2 or 3) AKI. In the prospective cohort, ICU providers were allowed to order [TIMP-2]*[IGFBP7] for patients at their discretion, then offered AKI practice recommendations based on the result. Outcomes were compared to a historical cohort in which biomarker values were not reported to clinical teams. Results. There was no difference in 7-day progression to severe AKI between the prospective (n=116) and historical cohorts (n=63) when [TIMP-2]*[IGFBP7] ≥0.3 (24(28%) vs 8(21%), p=0.38) despite more stage 1 AKI at time of biomarker measurement in the prospective cohort (58(67%) vs 9(23%), p&lt;0.001). In the prospective cohort, patients with higher [TIMP-2]*[IGFBP7] values were more likely to receive a nephrology consult. Early consultation (within 24 hours of biomarker measurement, n=20) had a nonsignificant trends towards net negative volume balance (-1787mL(6716mL) vs +4974mL(15540mL)) and more diuretic use (19(95%) vs 8(80%)), and was associated with less severe AKI (9(45%) vs 10(100%), p=0.004) and inpatient dialysis (2(10%) vs 7(70%), p=0.002) compared to delayed consultation (n=10). Discussion/Conclusions. Despite the prospective cohort having more preexisting stage 1 AKI, there were equal rates of progression to severe AKI in the prospective and historical cohorts. In the setting of [TIMP-2]*[IGFBP7] reporting, there were more nephrology consults in response to elevated biomarker levels. Early nephrology consultation resulted in improved volume balance and favorable outcomes compared to delayed consultation.
DOI: 10.6084/m9.figshare.23276177
title: Supplementary Material for: The top 100 most cited articles on Acupuncture in the last 20 years: a Bibliometric Analysis

description: Background: Acupuncture has gained increasing international attention in recent decades. The act of incorporating acupuncture treatment into the routine treatment of COVID-19 in China drove us to review the 100 most influential articles of the last 20 years to learn about the current status and trends of acupuncture. Method: Articles related to acupuncture from January 1, 2001 to July 4, 2022 were searched in the Clarivate Analytics Web of Science Core Collection database. The top 100 most cited publications were selected and information were extracted. Software VOSviewer, GraphPad Prism, Scimago Graphica and CiteSpace were used to visualize and analyze the extracted data. Result: The 100 most cited articles were identified, with an average of 218 citations (range: 131-625). The majority of the top 100 articles were from the United States (n = 53). The institution that published the most highly cited papers was Harvard University (n = 16). The most influential team was Klaus Linde's group. Pain was the top ranked journal in terms of number of publications. The largest clusters for co-occurrence keyword analysis focused on acupuncture and electroacupuncture analgesia and brain imaging responses to acupuncture stimulation via functional MRI. The two highest strength burst keywords were "randomized controlled trials" and "osteoarthritis", with "randomized controlled trials" being a consistent burst keyword from 2011 to the present. Conclusion: This study provides insight into articles of historical significance in the field of acupuncture through bibliometric analysis. These data should provide clinicians and researchers with insight into future directions related to acupuncture.
DOI: 10.6084/m9.figshare.23276177.v1
title: Supplementary Material for: The top 100 most cited articles on Acupuncture in the last 20 years: a Bibliometric Analysis

description: Background: Acupuncture has gained increasing international attention in recent decades. The act of incorporating acupuncture treatment into the routine treatment of COVID-19 in China drove us to review the 100 most influential articles of the last 20 years to learn about the current status and trends of acupuncture. Method: Articles related to acupuncture from January 1, 2001 to July 4, 2022 were searched in the Clarivate Analytics Web of Science Core Collection database. The top 100 most cited publications were selected and information were extracted. Software VOSviewer, GraphPad Prism, Scimago Graphica and CiteSpace were used to visualize and analyze the extracted data. Result: The 100 most cited articles were identified, with an average of 218 citations (range: 131-625). The majority of the top 100 articles were from the United States (n = 53). The institution that published the most highly cited papers was Harvard University (n = 16). The most influential team was Klaus Linde's group. Pain was the top ranked journal in terms of number of publications. The largest clusters for co-occurrence keyword analysis focused on acupuncture and electroacupuncture analgesia and brain imaging responses to acupuncture stimulation via functional MRI. The two highest strength burst keywords were "randomized controlled trials" and "osteoarthritis", with "randomized controlled trials" being a consistent burst keyword from 2011 to the present. Conclusion: This study provides insight into articles of historical significance in the field of acupuncture through bibliometric analysis. These data should provide clinicians and researchers with insight into future directions related to acupuncture.
DOI: 10.5281/zenodo.7993330
title: p-Gopher files for the CH3+ nu4/nu2 and nu3 bands

description: This is the p-gopher file to simulate the CH3+ vibrational spectrum. This is descibred in details in Berné et al. Nature 2023.
DOI: 10.5281/zenodo.7993329
title: p-Gopher files for the CH3+ nu4/nu2 and nu3 bands

description: This is the p-gopher file to simulate the CH3+ vibrational spectrum. This is descibred in details in Berné et al. Nature 2023.
DOI: 10.5281/zenodo.8239312
title: p-Gopher files for the CH3+ nu4/nu2 and nu3 bands

description: This is the p-gopher file to simulate the CH3+ vibrational spectrum. This is descibred in details in Berné et al. Nature 2023.
DOI: 10.5281/zenodo.8239307
title: QuantumStinks: Quantum-Mechanical Properties for 3.5k Olfactory Molecules

description: Quantitative Structure-Odor Relationships are critically important for studies related to the function of olfaction. Current literature datasets contain expert-labeled molecules but lack feature data. This paper introduces QuantumStinks, a quantum-mechanics augmented derivative of the Leffingwell dataset. QuantumStinks contains 3.5k structurally and chemically diverse molecules ranging from 2 to 30 heavy atoms (CNOS) and their corresponding 3D coordinates, total PBE0 energy, molecular dipole moment, and per-atom Hirshfeld charges, dipoles, and ratios. The authors demonstrate that Hirshfeld charges and ratios contain sufficient information to perform molecular classification by training a Message Passing Neural Network with <code>chemprop</code> to predict scent labels. The QuantumStinks dataset is freely available on Zenodo along with the authors' code, example models, and dataset generation workflow.
DOI: 10.5281/zenodo.8239306
title: QuantumStinks: Quantum-Mechanical Properties for 3.5k Olfactory Molecules

description: Quantitative Structure-Odor Relationships are critically important for studies related to the function of olfaction. Current literature datasets contain expert-labeled molecules but lack feature data. This paper introduces QuantumStinks, a quantum-mechanics augmented derivative of the Leffingwell dataset. QuantumStinks contains 3.5k structurally and chemically diverse molecules ranging from 2 to 30 heavy atoms (CNOS) and their corresponding 3D coordinates, total PBE0 energy, molecular dipole moment, and per-atom Hirshfeld charges, dipoles, and ratios. The authors demonstrate that Hirshfeld charges and ratios contain sufficient information to perform molecular classification by training a Message Passing Neural Network with <code>chemprop</code> to predict scent labels. The QuantumStinks dataset is freely available on Zenodo along with the authors' code, example models, and dataset generation workflow.
DOI: 10.5281/zenodo.7989669
title: JWST MIRI channel1 spectrum of d203-506

description: This is the JWST MIRI channel1 spectrum of d203-506 protoplanetary disk (ON and OFF position). The data are described in Berné et al. Nature 2023.
DOI: 10.5281/zenodo.7989668
title: JWST MIRI channel1 spectrum of d203-506

description: This is the JWST MIRI channel1 spectrum of d203-506 protoplanetary disk (ON and OFF position). The data are described in Berné et al. Nature 2023.
DOI: 10.21227/rpf3-t584
title: GHG EMISSIONS DETECTION AND ABATEMENT BY ENVIRONMENTAL DRONES

description: The Environmental Drones (E-drones) are programmed autonomous drones used for pollution monitoring (CH4, CO2, CO, O3, P.M.2.5, P.M.10, NO2, NH3, AND SO2), detection and abatement at altitudes above ground level in a specific geographic region.Environmental Drones produce Air Quality Index (AQI) maps of covered regions for environmental data monitoring and long-term analysis. E-drones are the first aerial systems (especially drone-wise) designed to conduct aerial pollution abatement, following successful pollution detection. In terms of Reducing Greenhouse Gas Emissions (GHG), there is no air quality monitoring network system capable of providing Greenhouse Gas Emission measurements and/or abatement in any country, such as the Environmental Drone. The data set(s)  provided by OLAWUYI RACETT NIGERIA LTD. KEMP HOUSE, 160 CITY ROAD EC1V 2NX, LONDON, UNITED KINGDOM RC14668218 shows the Environmental Drones providing GHG Emissions Measurement and Abatement in⦁Ontario, New Brunswick, Canada⦁Delta State, Nigeria.OLAWUYI RACETT NIGERIA LTD. KEMP HOUSE, 160 CITY ROAD EC1V 2NX, LONDON, UNITED KINGDOM RC14668218 supplies Environmental Drones to Signatory Companies in the Oil and Gas Industry (www.ogci.com) to help them reduce their Methane (CH4) Emissions in order to meet the Paris Agreement.
DOI: 10.6084/m9.figshare.21801307
title: Four way comparison of HPV DNA tests

description: Stata dataset for comparison of diagnostic yield and outcomes of testing with the careHPV, GeneXpert, AmpFire, and MA-6000 platforms
DOI: 10.6084/m9.figshare.21801307.v1
title: Four way comparison of HPV DNA tests

description: Stata dataset for comparison of diagnostic yield and outcomes of testing with the careHPV, GeneXpert, AmpFire, and MA-6000 platforms
DOI: 10.6084/m9.figshare.21801307.v2
title: Four way comparison of HPV DNA tests

description: Stata dataset for comparison of diagnostic yield and outcomes of testing with the careHPV, GeneXpert, AmpFire, and MA-6000 platforms
DOI: 10.3886/e193263
title: The Census Tree, 1900-1930

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.3886/e193263v1
title: The Census Tree, 1900-1930

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.6084/m9.figshare.23932314
title: D_dimer

description: D-dimer in death predicting of Covid=19
DOI: 10.3886/e193264
title: The Census Tree, 1900-1920

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>