cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25904/1912/4391
title: Collective Impact Facilitators 2019 Review for LP170100480 ARC Linkage Project Creating Pathways to Child Wellbeing in Disadvantaged Communities (2019-2020)

description: A central feature of the CREATE-ing Child Wellbeing research initiative is the development of a Prevention Translation and Support System (PTSS) in order to support evidence-based collaborative preventive action. This included the development of human and electronic resources that are responsive to the needs of children, families, community service deliverers, and schools. The Collective Impact Facilitator role constitutes a central element of the human resources within the PTSS. In addition to Collective Impact Facilitators (CIFs), we often call people who perform this role Collective Change Facilitators. CIFs are ‘system intermediaries’ who act as a bridge between researchers in the support system and the consumers, deliverers, and designers of services. This review study sought to understand the role of CIFs within CfC during the second phase of the research initiative (2016-2019). In this period a new model of the CIF role was implemented. In contrast to Phase 1 (2014-2016) when CIFs were recruited and supervised by Griffith University, in Phases 2 and 3 they were recruited and supervised by one of the CREATE initiative’s NGO partner organisations.
DOI: 10.6084/m9.figshare.17133659
title: Supplementary Material for: G-8 Geriatric Screening Tool Independently Predicts Progression-Free Survival in Older Ovarian Cancer Patients Irrespective of Maximal Surgical Effort: Results of a Retrospective Cohort Study

description: <b><i>Background:</i></b> We evaluated the prognostic impact of various global health assessment tools in patients older than 60 years with ovarian cancer (OC). <b><i>Methods:</i></b> G-8 geriatric screening tool (G-8 score), Lee Schonberg prognostic index, Eastern Cooperative Oncology Group (ECOG) performance status, and Charlson Comorbidity Index (CCI) were determined retrospectively in a consecutive cohort of elderly patients with OC. Univariate and multivariate Cox regression analyses and Kaplan-Meier method were performed to analyze the impact of the preoperative global health status on survival. <b><i>Results:</i></b> 116 patients entered the study. In multivariate analysis adjusted for clinical-pathological factors, only the G-8 score retained significance as a prognostic parameter of progression-free survival (PFS) (hazard ratio [HR]: 1.970; 95% confidence interval [CI] [1.056–3.677]; <i>p</i> = 0.033). Fifty-six patients were classified as G-8-nonfrail with an increased PFS compared to 50 G-8-frail patients (53.4% vs. 16.7%; <i>p</i> = 0.010). A higher CCI was associated with decreased PFS (45.1% vs. 22.2%; <i>p</i> = 0.012), but it did not influence the risk of recurrences or death (<i>p</i> = 0.360; <i>p</i> = 0.111). The Lee Schonberg prognostic index, the ECOG, and age were not associated with survival. <b><i>Conclusions:</i></b> The G-8 score independently predicted PFS in elderly OC patients regardless of maximal surgical effort. Thus, it could be useful to assess surgical treatment based on frailty rather than age alone.
DOI: 10.26180/16727680
title: Polypolish paper dataset

description: This record contains the data (references, reads, assemblies) used in the analyses for the Polypolish paper.
DOI: 10.26180/16727680.v2
title: Polypolish paper dataset

description: This record contains the data (references, reads, assemblies) used in the analyses for the Polypolish paper.
DOI: 10.26180/16727680.v1
title: Polypolish paper dataset

description: This record contains the data (references, reads, assemblies) used in the analyses for the Polypolish paper.
DOI: 10.6084/m9.figshare.17133719
title: Natural and enhanced carbonation of lime in its different applications: a review

description: Lime is a product derived from the thermal decomposition of limestone (mainly calcium carbonate, CaCO<sub>3</sub>) into quicklime (CaO) and carbon dioxide (CO<sub>2</sub>), also called calcination. Controlled reaction with water is used to manufacture hydrated lime (Ca(OH)<sub>2</sub>) products. Lime is used in a wide variety of applications: metals industry, construction materials sector, civil engineering, environmental protection, agriculture, and chemical industry. Lime production is one of the sources of anthropogenic CO<sub>2</sub> emissions resulting in global warming and ocean acidification. However, a proportion of the CO<sub>2</sub> emitted during the calcination is reabsorbed by the lime during the product life within its different applications. This process called carbonation is thermodynamically favoured because it is exothermal. It allows permanent CO<sub>2</sub> storage in a stable product since the lime combines with gaseous CO<sub>2</sub> reforming CaCO<sub>3</sub>. This paper reports a comprehensive literature review on the carbonation potential of lime in different applications. The total carbonation potential is assessed as carbonation rate, i.e. the ratio between the CO<sub>2</sub> reabsorbed through carbonation during the operational life of lime and the CO<sub>2</sub> emitted during limestone calcination. This study provided preliminary evidence that, based on the current EU market, on average 23–33% of lime process emissions are carbonated during the use phase. Carbonation over time is also analysed for the lime applications where information is available. For three applications, namely water, flue gas cleaning and pulp and paper, the carbonation reaction is instantaneous. Up to 22% of the calcination emissions are absorbed within five years based on the current EU market.
DOI: 10.6084/m9.figshare.17133719.v1
title: Natural and enhanced carbonation of lime in its different applications: a review

description: Lime is a product derived from the thermal decomposition of limestone (mainly calcium carbonate, CaCO<sub>3</sub>) into quicklime (CaO) and carbon dioxide (CO<sub>2</sub>), also called calcination. Controlled reaction with water is used to manufacture hydrated lime (Ca(OH)<sub>2</sub>) products. Lime is used in a wide variety of applications: metals industry, construction materials sector, civil engineering, environmental protection, agriculture, and chemical industry. Lime production is one of the sources of anthropogenic CO<sub>2</sub> emissions resulting in global warming and ocean acidification. However, a proportion of the CO<sub>2</sub> emitted during the calcination is reabsorbed by the lime during the product life within its different applications. This process called carbonation is thermodynamically favoured because it is exothermal. It allows permanent CO<sub>2</sub> storage in a stable product since the lime combines with gaseous CO<sub>2</sub> reforming CaCO<sub>3</sub>. This paper reports a comprehensive literature review on the carbonation potential of lime in different applications. The total carbonation potential is assessed as carbonation rate, i.e. the ratio between the CO<sub>2</sub> reabsorbed through carbonation during the operational life of lime and the CO<sub>2</sub> emitted during limestone calcination. This study provided preliminary evidence that, based on the current EU market, on average 23–33% of lime process emissions are carbonated during the use phase. Carbonation over time is also analysed for the lime applications where information is available. For three applications, namely water, flue gas cleaning and pulp and paper, the carbonation reaction is instantaneous. Up to 22% of the calcination emissions are absorbed within five years based on the current EU market.
DOI: 10.6085/aa/marine_ltm.12.6
title: MARINe/PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Photo Plots and Transects Summarized

description: This metadata record documents the Photo Plot and Transect Survey data for the Multi-Agency Rocky Intertidal Network (MARINe) Long-Term Monitoring surveys. These surveys are done throughout the year at sites ranging from Southeast Alaska to Southern California. Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org. The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884
DOI: 10.6085/aa/marine_ltm.4.9
title: MARINe/PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Sea Stars and Katharina

description: This metadata record documents the Sea Star and Katharina Survey data for the Multi-Agency Rocky Intertidal Network (MARINe) Long-Term Monitoring surveys. These surveys are done throughout the year at sites ranging from Southeast Alaska to Southern California. Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org. The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884
DOI: 10.5281/zenodo.5720009
title: AIMD simulations of water over transition metal surfaces

description: AIMD simulations of water molecules over (111) surfaces of Ag, Au, Cu, Pt, Pd, and Rh, (211) and (100) surfaces of Ag, Au, Cu, and Pt, and (0001) surface of Ru. Data used for analysis in "OH binding energy as a universal descriptor of the potential of zero charge on transition metal surfaces," which can be found on ChemRxiv with DOI 10.26434/chemrxiv-2021-dkb6l.
description: This work was supported by the U.S. Department of Energy, Office of Science, and Office of Basic Energy Science via Grant DE-SC0008685 to the SUNCAT Center of Interface Science and Catalysis. We also acknowledge funding by research grants 9455 and 29450 from VILLUM FONDEN.
DOI: 10.5281/zenodo.5720008
title: AIMD simulations of water over transition metal surfaces

description: AIMD simulations of water molecules over (111) surfaces of Ag, Au, Cu, Pt, Pd, and Rh, (211) and (100) surfaces of Ag, Au, Cu, and Pt, and (0001) surface of Ru. Data used for analysis in "OH binding energy as a universal descriptor of the potential of zero charge on transition metal surfaces," which can be found on ChemRxiv with DOI 10.26434/chemrxiv-2021-dkb6l.
description: This work was supported by the U.S. Department of Energy, Office of Science, and Office of Basic Energy Science via Grant DE-SC0008685 to the SUNCAT Center of Interface Science and Catalysis. We also acknowledge funding by research grants 9455 and 29450 from VILLUM FONDEN.
DOI: 10.5281/zenodo.5762834
title: Global mapping of lunar refractory elements: multivariate regression vs. machine learning

description: The quantitative estimation of elemental concentrations at the spatial resolution of hyperspectral near-infrared (NIR) images<br> of the lunar surface is an important tool for understanding the processes relevant for the origin and evolution of the Moon. The NIR reflectance of the lunar regolith is an integrated response to the presence of refractory elements and soil alteration processes. Our approach was to define a combination of spectral parameters that are robust with respect to the effects of soil maturity.<br> We calibrated the spectral parameters with respect to elemental abundances measured by the Lunar Prospector Gamma Ray Spectrometer (LP GRS) and the Kaguya GRS (KGRS). For this purpose, we compared a classical multivariate linear regression (MLR) approach and the machine learning based support vector regression (SVR) technique applied to M3 global observations. The M 3 -based global elemental maps are consistent in distribution and range with the LP GRS and KGRS elemental maps<br> and do not show artifacts in immature areas such as small fresh craters. The results derived using MLR and SVR are compared to<br> sample-based ground truth data of the Apollo and Luna sample-return sites, where the root-mean-square deviations obtained by the<br> two regression models are similar. The main advantage of the proposed new algorithm is its ability to minimize artifacts due to space-weathering effects. The elemental maps of Mg and Ca provide additional information and reveal structures not always visible in the Fe map. The global elemental abundance maps derived for the fully calibrated M 3 observations might thus serve as important tools to investigate the lunar geology and evolution.
description: The global elemental abundance maps derived using the fully calibrated M3 global dataset
DOI: 10.5281/zenodo.5762833
title: Global mapping of lunar refractory elements: multivariate regression vs. machine learning

description: The quantitative estimation of elemental concentrations at the spatial resolution of hyperspectral near-infrared (NIR) images<br> of the lunar surface is an important tool for understanding the processes relevant for the origin and evolution of the Moon. The NIR reflectance of the lunar regolith is an integrated response to the presence of refractory elements and soil alteration processes. Our approach was to define a combination of spectral parameters that are robust with respect to the effects of soil maturity.<br> We calibrated the spectral parameters with respect to elemental abundances measured by the Lunar Prospector Gamma Ray Spectrometer (LP GRS) and the Kaguya GRS (KGRS). For this purpose, we compared a classical multivariate linear regression (MLR) approach and the machine learning based support vector regression (SVR) technique applied to M3 global observations. The M 3 -based global elemental maps are consistent in distribution and range with the LP GRS and KGRS elemental maps<br> and do not show artifacts in immature areas such as small fresh craters. The results derived using MLR and SVR are compared to<br> sample-based ground truth data of the Apollo and Luna sample-return sites, where the root-mean-square deviations obtained by the<br> two regression models are similar. The main advantage of the proposed new algorithm is its ability to minimize artifacts due to space-weathering effects. The elemental maps of Mg and Ca provide additional information and reveal structures not always visible in the Fe map. The global elemental abundance maps derived for the fully calibrated M 3 observations might thus serve as important tools to investigate the lunar geology and evolution.
description: The global elemental abundance maps derived using the fully calibrated M3 global dataset
DOI: 10.6084/m9.figshare.17004550.v2
title: Supplemental data for Li et al Molecular diagnoses of skeletal dysplasia in China.docx

description: Supplemental data for Li et al Molecular diagnoses of skeletal dysplasia in China: a large single-center study over the past 12 years
DOI: 10.6084/m9.figshare.17004550
title: Supplemental

description: Supplemental
DOI: 10.6084/m9.figshare.17004550.v4
title: Supplemental

description: Supplemental
DOI: 10.6084/m9.figshare.17004550.v3
title: Supplemental data for Li et al Molecular diagnoses of skeletal dysplasia in China.docx

description: Supplemental data for Li et al Molecular diagnoses of skeletal dysplasia in China: a large single-center study over the past 12 years
DOI: 10.6084/m9.figshare.17134045
title: Dataset S1 from Honeybees use propolis as a natural pesticide against their major ectoparasite

description: Dataset and data elaboration
DOI: 10.6084/m9.figshare.17134045.v1
title: Dataset S1 from Honeybees use propolis as a natural pesticide against their major ectoparasite

description: Dataset and data elaboration
DOI: 10.6084/m9.figshare.17134028
title: Supplementary Material for: Evaluation of a Stepped Care Approach to Manage Depression and Diabetes Distress in Patients with Type 1 Diabetes and Type 2 Diabetes: Results of a Randomized Controlled Trial (ECCE HOMO Study)

description: <b><i>Introduction:</i></b> Depression is a common and serious complication of diabetes. Treatment approaches addressing the specific demands of affected patients are scarce. <b><i>Objective:</i></b> The aim of this work was to test whether a stepped care approach for patients with diabetes and depression and/or diabetes distress yields greater depression reduction than treatment-as-usual. <b><i>Methods:</i></b> Two-hundred and sixty patients with diabetes and elevated depressive symptoms (CES-D ≥16) and/or elevated diabetes distress (PAID ≥40) were randomized to stepped care for depression or diabetes treatment-as-usual. The primary outcome was the rate of meaningful depression reduction at the 12-month follow-up according to the HAMD (score &lt;9 or reduction by ≥50%). Secondary outcomes were changes in depression scores (HAMD/CES-D), diabetes distress (PAID), diabetes acceptance (AADQ), well-being (WHO-5), quality of life (EQ-5D/SF-36), self-care behavior (SDSCA/DSMQ), HbA<sub>1c</sub>, and biomarkers of inflammation. <b><i>Results:</i></b> One-hundred and thirty-one individuals were assigned to stepped care and 129 to treatment-as-usual. Overall, 15.4% were lost to follow-up. Meaningful depression reduction was observed in 80.2 versus 51.2% in stepped care versus treatment-as-usual (<i>p</i> &lt; 0.001, intention-to-treat analysis). Of the secondary measures, the HAMD (∆ –3.2, <i>p</i> &lt; 0.001), WHO-5 (∆ 1.5, <i>p</i> = 0.007), and AADQ (∆ –1.0, <i>p</i> = 0.008) displayed significant treatment effects, while effects on CES-D (∆ –2.3, <i>p</i> = 0.065), PAID (∆ –3.5, <i>p</i> = 0.109), and SDSCA (∆ 0.20, <i>p</i> = 0.081) were not significantly different. Both groups showed comparable changes in EQ-5D/SF-36, DSMQ, HbA<sub>1c</sub>, and biomarkers of inflammation (all <i>p</i> ≥ 0.19). <b><i>Conclusions:</i></b> The stepped care approach improved depression, well-being, and acceptance. The results support that increasing treatment intensity on demand is effective and can help provide more optimal treatment. The inclusion of diabetes-specific interventions may be beneficial for patients with diabetes and elevated depression.
DOI: 10.5281/zenodo.5763107
title: Dataset for sulfate study

description: The data is used for sulfate study
DOI: 10.5281/zenodo.5763106
title: Dataset for sulfate study

description: The data is used for sulfate study
DOI: 10.6084/m9.figshare.17119229
title: 20201111_19wDB_BcgI

description: BcgI 19w
DOI: 10.6084/m9.figshare.17119229.v2
title: 20201111_19wDB_BcgI

description: BcgI 19w
DOI: 10.6084/m9.figshare.17119229.v1
title: 20201111_19wDB_BcgI

description: BcgI 19w
DOI: 10.6084/m9.figshare.17119262
title: 20201111_19wDB_CjepI

description: CjepI 19w
DOI: 10.6084/m9.figshare.17119262.v3
title: 20201111_19wDB_CjepI

description: CjepI 19w
DOI: 10.6084/m9.figshare.17119262.v2
title: 20201111_19wDB_CjepI

description: CjepI 19w
DOI: 10.34740/kaggle/dsv/2897105
title: Contrastive Language Image Pretraining by openai
DOI: 10.6084/m9.figshare.17134079
title: Supplementary Material for: Distressing Belching with Chorea Induced by Caudate Infarction

description: Although belching is mostly associated with gastrointestinal disorders, it occasionally accompanies movement disorders such as Parkinsonism or dystonia. A woman in her 80s presented distressing belching and chorea of the right arm and leg from 3 years earlier. A brain MRI showed a left caudate infarction and atrophic change. Haloperidol significantly improved belching and chorea. Caudate infarction can cause distressing belching with chorea. It might be important to select the appropriate drug by referring to the accompanying involuntary movement to treat belching with movement disorders.
DOI: 10.5517/ccdc.csd.cc26rfbr
title: CCDC 2048304: Experimental Crystal Structure Determination

description: Related Article: Qiuxia Li, Chao Shi, Manli Huang, Cuicui Wu, Hongzhen Wang, Haotian Wu, Ying Zheng, Chuluo Yang, Aihua Yuan|2021|Inorg.Chem.|60|17699|doi:10.1021/acs.inorgchem.1c02296
DOI: 10.5517/ccdc.csd.cc26rfdt
title: CCDC 2048306: Experimental Crystal Structure Determination

description: Related Article: Qiuxia Li, Chao Shi, Manli Huang, Cuicui Wu, Hongzhen Wang, Haotian Wu, Ying Zheng, Chuluo Yang, Aihua Yuan|2021|Inorg.Chem.|60|17699|doi:10.1021/acs.inorgchem.1c02296
DOI: 10.5517/ccdc.csd.cc27d842
title: CCDC 2067363: Experimental Crystal Structure Determination

description: Related Article: Chelsea G. Comadoll, Wade C. Henke, Julie A. Hopkins Leseberg, Justin T. Douglas, Allen G. Oliver, Victor W. Day, James D. Blakemore|2021|Organometallics|40|3808|doi:10.1021/acs.organomet.1c00525
DOI: 10.5517/ccdc.csd.cc27xybg
title: CCDC 2083396: Experimental Crystal Structure Determination

description: Related Article: Shi-Yi Zhuang, Yong-Xing Tang, Xiang-Long Chen, Yan-Dong Wu, An-Xin Wu|2021|J.Org.Chem.|86|17101|doi:10.1021/acs.joc.1c02204
DOI: 10.5517/ccdc.csd.cc278cpl
title: CCDC 2063629: Experimental Crystal Structure Determination

description: Related Article: Manas Khatua, Bappaditya Goswami, Kamal, Subhas Samanta|2021|Inorg.Chem.|60|17537|doi:10.1021/acs.inorgchem.1c02115
DOI: 10.5517/ccdc.csd.cc278csp
title: CCDC 2063632: Experimental Crystal Structure Determination

description: Related Article: Manas Khatua, Bappaditya Goswami, Kamal, Subhas Samanta|2021|Inorg.Chem.|60|17537|doi:10.1021/acs.inorgchem.1c02115
DOI: 10.5517/ccdc.csd.cc27yw7b
title: CCDC 2084292: Experimental Crystal Structure Determination

description: Related Article: Manas Khatua, Bappaditya Goswami, Kamal, Subhas Samanta|2021|Inorg.Chem.|60|17537|doi:10.1021/acs.inorgchem.1c02115
DOI: 10.5517/ccdc.csd.cc27yw8c
title: CCDC 2084293: Experimental Crystal Structure Determination

description: Related Article: Manas Khatua, Bappaditya Goswami, Kamal, Subhas Samanta|2021|Inorg.Chem.|60|17537|doi:10.1021/acs.inorgchem.1c02115
DOI: 10.5517/ccdc.csd.cc283fzt
title: CCDC 2088686: Experimental Crystal Structure Determination

description: Related Article: Zhi-Peng Ye, Fang Liu, Xin-Yu Duan, Jie Gao, Jian-Ping Guan, Jun-An Xiao, Hao-Yue Xiang, Kai Chen, Hua Yang|2021|J.Org.Chem.|86|17173|doi:10.1021/acs.joc.1c02285
DOI: 10.5517/ccdc.csd.cc283ny0
title: CCDC 2088902: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tang, Wai Yip Fan|2021|Inorg.Chem.|60|17933|doi:10.1021/acs.inorgchem.1c02524
DOI: 10.5517/ccdc.csd.cc283p03
title: CCDC 2088904: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tang, Wai Yip Fan|2021|Inorg.Chem.|60|17933|doi:10.1021/acs.inorgchem.1c02524
DOI: 10.5517/ccdc.csd.cc285bg8
title: CCDC 2090499: Experimental Crystal Structure Determination

description: Related Article: Kang Li, Honghan Ji, Zeren Yang, Wenzeng Duan, Yudao Ma, Houting Liu, Huaiwei Wang, Shuwen Gong|2021|J.Org.Chem.|86|16707|doi:10.1021/acs.joc.1c01956
DOI: 10.5517/ccdc.csd.cc285bh9
title: CCDC 2090500: Experimental Crystal Structure Determination

description: Related Article: Kang Li, Honghan Ji, Zeren Yang, Wenzeng Duan, Yudao Ma, Houting Liu, Huaiwei Wang, Shuwen Gong|2021|J.Org.Chem.|86|16707|doi:10.1021/acs.joc.1c01956
DOI: 10.5517/ccdc.csd.cc285bjb
title: CCDC 2090501: Experimental Crystal Structure Determination

description: Related Article: Kang Li, Honghan Ji, Zeren Yang, Wenzeng Duan, Yudao Ma, Houting Liu, Huaiwei Wang, Shuwen Gong|2021|J.Org.Chem.|86|16707|doi:10.1021/acs.joc.1c01956
DOI: 10.5517/ccdc.csd.cc285bkc
title: CCDC 2090502: Experimental Crystal Structure Determination

description: Related Article: Kang Li, Honghan Ji, Zeren Yang, Wenzeng Duan, Yudao Ma, Houting Liu, Huaiwei Wang, Shuwen Gong|2021|J.Org.Chem.|86|16707|doi:10.1021/acs.joc.1c01956
DOI: 10.5517/ccdc.csd.cc28h4zx
title: CCDC 2099939: Experimental Crystal Structure Determination

description: Related Article: Matteo Lanzi, Racha Abed Ali Abdine, Maxime De Abreu, Joanna Wencel-Delord|2021|Org.Lett.|23|9047|doi:10.1021/acs.orglett.1c03278