cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15616521
title: Supplementary Material for: Interactions between Prepregnancy Overweight and Passive Smoking for Macrosomia and Large for Gestational Age in Chinese Pregnant Women

description: <b><i>Introduction:</i></b> Previous analysis showed that passive smoking and overweight were associated with an increased risk of gestational diabetes mellitus (GDM) in a synergistic manner, while GDM increased the risk of macrosomia/large for gestational age (LGA). This study aimed to examine any interactive effects between passive smoking and overweight/obesity on risk of macrosomia/LGA. <b><i>Methods:</i></b> From 2010 to 2012, 22,302 pregnant women registered for pregnancy at a primary hospital in Tianjin, China. Data were collected longitudinally; that is, from their first antenatal care visit, at the glucose challenge test (GCT) time (24–28 weeks of gestation) and at delivery. Passive smoking was self-reported. Macrosomia was defined as birth weight ≥4,000 g. Binary logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Additive interaction was used to test the synergistic effect. <b><i>Results:</i></b> Passive smokers accounted for 57.4% of women (<i>n</i> = 8,230). Using nonpassive smoking and prepregnancy body mass index (BMI) &lt;24.0 kg/m<sup>2</sup> as the reference, the adjusted ORs of overweight alone and passive smoking alone for macrosomia were 2.39 (95% CI: 2.11–2.71) and 1.17 (95% CI: 1.04–1.32). Copresence of passive smoking and prepregnancy BMI ≥24.0 kg/m<sup>2</sup> increased the OR to 2.70 (95% CI: 2.28–3.20), with a significant additive interaction. After further adjustment for GDM or GCT, the OR of copresence of both risk factors was slightly attenuated to 2.52 (2.13–3.00) and 2.51 (2.11–2.98), with significant additive interaction. However, the additive interaction between prepregnancy overweight/obesity and passive smoking for LGA was nonsignificant. <b><i>Conclusions:</i></b> Prepregnancy overweight/obesity was associated with an increased risk of macrosomia in Chinese women synergistically with passive smoking during pregnancy, and most of the association was not modified by hyperglycemia during pregnancy.
DOI: 10.6084/m9.figshare.15634860
title: Supplementary Material for: Prognostic Implication of Diagnostic Confidence Level in Patients with Fibrotic Hypersensitivity Pneumonitis

description: <b><i>Background:</i></b> Hypersensitivity pneumonitis (HP) has various clinical courses and outcomes, but the prognostic factors are not well-defined. Vasakova et al. [Am J Respir Crit Care Med. 2017 Sep;196(6):680–9] have proposed a diagnostic algorithm that categorized suspected patients according to the level of confidence in the diagnosis. This study aimed to investigate whether the confidence level of clinical diagnosis has prognostic implication in patients with fibrotic HP. <b><i>Methods:</i></b> This study included 101 biopsy-proven fibrotic HP patients diagnosed between 2002 and 2017. The patients were retrospectively classified into confident, probable, possible, and unlikely chronic HP, according to the confidence level in the diagnostic criteria/algorithm. The survival and forced vital capacity (FVC) changes were compared between the groups. Risk factors for mortality were analysed using a Cox proportional hazard model. <b><i>Results:</i></b> The median follow-up duration was 67.6 months. The mean age was 60.4 years, and percentages of women were 60.4%. When classified based on the diagnostic criteria/algorithm, possible HP was the most common (51.5%), followed by probable (26.7%), confident (9.9%), and unlikely HP (6.9%). Distinctive survival curves were found according to the diagnostic confidence level, showing the worst outcome in unlikely chronic HP (median survival, 30.2 months). In a multivariable Cox analysis, unlikely HP was a significant predictor of poor survival (hazard ratio, 4.652; 95% confidence interval, 1.231–17.586; <i>p</i> = 0.023), after adjustment for age, body mass index, FVC, and diffusing capacity. <b><i>Conclusions:</i></b> The diagnostic confidence level may predict clinical outcomes in patients with HP. Unlikely HP was shown to have a significantly poorer survival than other diagnostic confidence levels.
DOI: 10.6084/m9.figshare.15638832
title: A standardized and statistically defensible framework for quantitative morphological analyses in taxonomic studies

description: Example datasets and Rscript for the publication "A standardized and statistically defensible framework for quantitative morphological analyses in taxonomic studies"<br>
DOI: 10.6084/m9.figshare.15634230.v1
title: A large benchmark dataset, Blood-Brain Barrier Database (B3DB), complied from 50 published resources.

description: The highly-selective blood-brain barrier (BBB) prevents neurotoxic substances in blood from crossing into the extracellular fluid of the central nervous system (CNS). As such, the BBB has a close relationship with CNS disease development and treatment, so predicting whether a substance crosses the BBB is a key task in lead discovery for CNS drugs. Machine learning (ML) is a promising strategy for predicting the BBB permeability, but existing studies have been limited by small datasets with limitedchemical diversity. To mitigate this issue, we present a large benchmark dataset, B3DB, complied from 50 published resources and categorized based on experimental uncertainty. A subset of the molecules in B3DB has numerical logBB values (1058 compounds), while the whole dataset has categorical (BBB+ or BBB-) BBB permeability labels (7807). The dataset is freely available at https://github.com/theochem/B3DB. We also provide some physicochemical properties of the molecules. By analyzing these properties, we can demonstrate some physiochemical similarities and differences between BBB+ and BBB- compounds.
DOI: 10.5517/ccdc.csd.cc27r5y4
title: CCDC 2077866: Experimental Crystal Structure Determination

description: Related Article: Tsuyoshi Murata, Yosuke Yamamoto, Akira Ueda, Tomoaki Ise, Daisuke Shiomi, Kazunobu Sato, Takeji Takui, Yasushi Morita|2021|J.Org.Chem.|86|10154|doi:10.1021/acs.joc.1c00880
DOI: 10.5517/ccdc.csd.cc28f2kc
title: CCDC 2097942: Experimental Crystal Structure Determination

description: Related Article: Akachukwu D. Obi, Haleigh R. Machost, Diane A. Dickie, Robert J. Gilliard, Jr.|2021|Inorg.Chem.|60|12481|doi:10.1021/acs.inorgchem.1c01700
DOI: 10.5517/ccdc.csd.cc28f2ld
title: CCDC 2097943: Experimental Crystal Structure Determination

description: Related Article: Akachukwu D. Obi, Haleigh R. Machost, Diane A. Dickie, Robert J. Gilliard, Jr.|2021|Inorg.Chem.|60|12481|doi:10.1021/acs.inorgchem.1c01700
DOI: 10.6084/m9.figshare.15650337
title: 2015-03-13 09-45 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Chlorophyll Fluorescence; Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Photosynthetically Active Radiation; Water Temperature<br><br><b>Start date:</b> 2015-03-13<br><br><b>End date:</b> 2015-03-13<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was migrated from the LERNZdb freshwater data repository run by the Environmental Research Institute at the University of Waikato. In retrieving material stored on this database you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.15650337.v1
title: 2015-03-13 09-45 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Chlorophyll Fluorescence; Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Photosynthetically Active Radiation; Water Temperature<br><br><b>Start date:</b> 2015-03-13<br><br><b>End date:</b> 2015-03-13<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was migrated from the LERNZdb freshwater data repository run by the Environmental Research Institute at the University of Waikato. In retrieving material stored on this database you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.15627969
title: Spatio-temporal Variation and Biodegradation of Chromophoric Dissolved Organic Matter (CDOM) in the Bohai Sea and the Yellow Sea

description: Relevant sampling information and the measurement data of chromophoric dissolved organic matter (CDOM) in the Bohai Sea and the Yellow Sea<br>
DOI: 10.6084/m9.figshare.15627969.v1
title: Data.xlsx

description: Spatio-temporal Variation and Biodegradation of Chromophoric Dissolved Organic Matter (CDOM) in the Bohai Sea and the Yellow Sea<br>
DOI: 10.15468/6egy8p
title: A new species of Glyptothorax (Teleostei: Sisoridae) from the Brahmaputra River basin, Arunachal Pradesh, India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kosygin, Laishram, Singh, Pratima, Rath, Shibananda (2021): A new species of Glyptothorax (Teleostei: Sisoridae) from the Brahmaputra River basin, Arunachal Pradesh, India. Zootaxa 5023 (2): 239-250, DOI: https://doi.org/10.11646/zootaxa.5023.2.4
DOI: 10.6084/m9.figshare.15647373
title: Supplementary Material for: Physicians’ Perception of the Evidence in Relation to Primary Endpoints of Clinical Trials on Breast Cancer

description: <b><i>Objective:</i></b> To investigate physicians’ perception of the evidence of clinical trials on breast cancer. <b><i>Methods:</i></b> A survey was conducted by the Chinese Society of Breast Surgeons. We investigated the physicians’ perception of meaningful endpoints, appropriate follow-up duration, and clinically acceptable benefit through online questionnaires. <b><i>Results:</i></b> Among 278 validated questionnaires, the majority of the questions had no consistent answer. For local treatment, 30.6, 28.8, and 28.4% of participants regarded locoregional recurrence (LRR), disease-free survival (DFS), and overall survival (OS) as the most meaningful endpoint, respectively, 47.5% believed that 5-year follow-up can alter clinical practice, and 34.5% thought it should be &gt;10 years. In the adjuvant setting, 45.7, 38.5, and 12.9% regarded DFS, OS, and LRR as the most meaningful endpoint, respectively, 52.5% thought that 10-year follow-up was solid, while 37.4% thought that 5-year follow-up was enough. In the advanced setting, 49.6, 24.1, and 23.7% considered progression-free survival, quality of life, and OS the most meaningful endpoint, respectively, and 39.6 and 28.8% considered that a follow-up of 1 year and 3 years, respectively, was meaningful. Similarly, the clinically acceptable absolute difference was inconsistent. <b><i>Conclusion:</i></b> Most Chinese oncologists advocated that surrogate endpoints could be used in certain circumstances, though OS was the most reliable one in breast cancer studies. Doctors’ perceptions of follow-up time and magnitude of benefit vary widely, reflecting the fact that there are many unanswered questions about supporting the use of new cancer treatments; a common understanding needs to be reached, such as a very consensual surrogate endpoint and a meaningful sufficiently large therapeutic benefit.
DOI: 10.6084/m9.figshare.15656475
title: 2015-04-17 10-57 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Beam Attenuation; Beam Transmission; Chlorophyll Fluorescence; Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Photosynthetically Active Radiation; Specific Conductance; Water Temperature<br><br><b>Start date:</b> 2015-04-17<br><br><b>End date:</b> 2015-04-17<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.15656475.v1
title: 2015-04-17 10-57 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Beam Attenuation; Beam Transmission; Chlorophyll Fluorescence; Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Photosynthetically Active Radiation; Specific Conductance; Water Temperature<br><br><b>Start date:</b> 2015-04-17<br><br><b>End date:</b> 2015-04-17<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.15656553
title: 2015-05-15 10-07 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Water Temperature<br><br><b>Start date:</b> 2015-05-15<br><br><b>End date:</b> 2015-05-15<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.15656553.v1
title: 2015-05-15 10-07 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Water Temperature<br><br><b>Start date:</b> 2015-05-15<br><br><b>End date:</b> 2015-05-15<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.15656556
title: 2015-02-11 10-54 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Beam Attenuation; Beam Transmission; Chlorophyll Fluorescence; Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Photosynthetically Active Radiation; Specific Conductance; Water Temperature<br><br><b>Start date:</b> 2015-02-11<br><br><b>End date:</b> 2015-02-11<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.15656556.v1
title: 2015-02-11 10-54 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Beam Attenuation; Beam Transmission; Chlorophyll Fluorescence; Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Photosynthetically Active Radiation; Specific Conductance; Water Temperature<br><br><b>Start date:</b> 2015-02-11<br><br><b>End date:</b> 2015-02-11<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.15656559
title: Lake Rotoroa (2003).

description: Lake Rotoroa electro-fishing survey (2003).<br><br><b>Type of waterbody:</b> Lake<br><br><b>Variables:</b> Area Fished; Distance fished; EF % range; EF Range; EF current; EF pulse rate; Fish Species Counts; Specific Conductance; Time fished; Water Temperature<br><br><b>Start date:</b> 2003-08-01<br><br><b>End date:</b> 2003-08-01<br><br><b>Lake:</b> Lake Rotoroa<br><br><b>Region:</b> Waikato<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.15656559.v1
title: Lake Rotoroa (2003).

description: Lake Rotoroa electro-fishing survey (2003).<br><br><b>Type of waterbody:</b> Lake<br><br><b>Variables:</b> Area Fished; Distance fished; EF % range; EF Range; EF current; EF pulse rate; Fish Species Counts; Specific Conductance; Time fished; Water Temperature<br><br><b>Start date:</b> 2003-08-01<br><br><b>End date:</b> 2003-08-01<br><br><b>Lake:</b> Lake Rotoroa<br><br><b>Region:</b> Waikato<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.5445/ir/1000083563
title: Monthly Mean values of sensible and latent heat fluxes, 2 meter temperature, net longwave and net shortwave radiation and cloud cover, for the period 2001-2010