cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19350092.v1
title: Additional file 1 of Differential expression of microRNAs targeting genes associated with the development of high-grade gliomas

description: Additional file 1. Clinical data, fold change gene and microRNA data, DNA primer sequences.
DOI: 10.6084/m9.figshare.19350099
title: Additional file 1 of eHealth supported multi-months dispensing of antiretroviral therapy: a mixed-methods preference assessment in rural Lesotho

description: Additional file 1: Supplementary Information. Data collection and processes. All eHealth options were implemented in the local language, Sesotho (Supplementary Figures 1 and 2). The VL result text messages containing encrypted information (minimize the risk of HIV status disclosure) were automatically triggered from a password protected online VL database. The automated interactive symptomatic TB screening call was triggered using tablet technology on site during enrolment. According to WHO recommendations, it encompasses requests for dialing 1=yes or 2=no for the presence of each of the symptoms, including coughing, fever, night sweats and weight loss, while the answers rely on self-assessment of the participants [31] For providing EAC support by telemedical service, an ART nurse was provided a list of participants, who came with recent VL ≥1000 copies/ml and who requested additional EAC by phone at their preferred time and day. For testing the nurse call-back, the phone number from the ART nurse was distributed to all participants during enrolment with the invitation to leave a missed phone call for requesting the call-back at any time. Supplementary Figure 1. Design of the automated VL result text messages. Supplementary Figure 2. Design of the automated symptomatic TB screening call.
DOI: 10.6084/m9.figshare.19323386.v3
title: Coseismic slip model for the 2021 M8.2 Chignik earthquake

description: Here is the coseismic slip model we present in <i>Cascading Rupture of a Megathrust </i>(Elliott et. al 2022)submitted to Science Advance. <br>This dataset includes 4 files. They are:<br>1. FourCornerCoordinateofSubfaults: The file records the fault geometry we used in inversion. Every raw indicates a subfault<br>2. Chginik_slip_model_2021: The file records slip we invert at the geometry center of every subfault.<br>3. slip.grd: The slip model in grid format<br>4. Readme: Information about this dataset
DOI: 10.6084/m9.figshare.14501964
title: A gene coevolution network provides insight to eukaryotic cellular and genomic structure and function

description: data associated with Steenwyk et al. 2022, An orthologous gene coevolution network provides insight into eukaryotic cellular and genomic structure and function.
DOI: 10.6084/m9.figshare.14501964.v1
title: A gene coevolution network provides insight to eukaryotic cellular and genomic structure and function

description: data associated with Steenwyk et al. 2022, An orthologous gene coevolution network provides insight into eukaryotic cellular and genomic structure and function.
DOI: 10.6084/m9.figshare.19323386.v4
title: Dataset related to "Cascading Rupture of a Megathrust" submitted to Science Advance.

description: This dataset includes 5 files related to Cascading Rupture of a Megathrust (Elliott et. al 2022) submitted to Science Advance. They are:<br>2021_Chginik_FFM_slip_txt, this text file records our preferred slip model for 2021 M 8.2 Chginik earthquake. The slip point locates at the geometry center of every subfault.<br>2021_Chignik_fault_geometry, this file presents the fault geometry we used in finite fault slip inversion for 2021 M8.2 Chignik earthquake. Every raw records four corner geographical coordinates of each rectangle subfault. <br>2021_Sandpoint_FFM_slip_txt, this text file records our slip model for 2020 M 7.6 Sand point earthquake. The Slip point locate at the geometry center of every subfault.<br>2021_Sandpoint_fault_geometry, this file presents the fault geometry we used in finite fault slip inversion for 2020 M 7.6 Sand point earthquake. Every raw records four corner geographical coordinates of each rectangle subfault. <br>Readme, this file records general information about this dataset.
DOI: 10.6084/m9.figshare.19323386.v5
title: Dataset related to "Cascading Rupture of a Megathrust" submitted to Science Advance.

description: This dataset includes 5 files related to Cascading Rupture of a Megathrust (Elliott et. al 2022) submitted to Science Advance. They are:<br>Readme, this file records general information about this dataset.<br><br>2021_Chginik_FFM_slip_txt, this text file records our preferred slip model for 2021 M 8.2 Chginik earthquake. The slip point locates at the geometry center of every subfault.<br>2021_Chignik_fault_geometry, this file presents the subfault information we used in finite fault slip inversion for 2021 M8.2 Chignik earthquake. Every raw records four corner geographical coordinates of each rectangle subfault. <br>2020_Sandpoint_FFM_slip_txt, this text file records our slip model for 2020 M 7.6 Sand point earthquake. The Slip point locate at the geometry center of every subfault.<br>2020_Sandpoint_fault_geometry, this file presents the subfault information we used in finite fault slip inversion for 2020 M 7.6 Sand point earthquake. Every raw records four corner geographical coordinates of each rectangle subfault. <br>
DOI: 10.6084/m9.figshare.19306974
title: Evaluation of treatment patterns, healthcare resource utilization, and costs among patients receiving treatment for cytomegalovirus following allogeneic hematopoietic cell or solid organ transplantation

description: Management of cytomegalovirus (CMV) infection/disease in transplant recipients may be complicated by toxicities and resistance to conventional antivirals, adding to the overall healthcare burden. We characterized treatment patterns, healthcare resource utilization (HCRU), and costs to elucidate the healthcare burden associated with CMV therapies post-transplant. A retrospective, longitudinal cohort study of transplant recipients using data from a US commercial insurance claims database (2013–2017) was conducted. Patients with a claim for post-transplant CMV diagnosis and anti-CMV treatment (ganciclovir, valganciclovir, foscarnet, or cidofovir) were identified (Treated CMV cohort) and compared with patients with neither a claim for CMV diagnosis nor anti-CMV treatment (No CMV cohort) for outcomes including HCRU and associated costs. Allogeneic hematopoietic cell transplantation (HCT) or solid organ transplantation (SOT) recipients were analyzed separately. Anti-CMV treatment patterns were assessed in the Treated CMV cohort. Costs were evaluated among subgroups with myelosuppression or nephrotoxicity. Overall, 412 allogeneic HCT and 899 SOT patients were included in the Treated CMV cohorts, of which 41.7% and 52.5%, respectively, received multiple antiviral courses. Treated CMV cohorts compared with No CMV cohorts had higher mean monthly healthcare visits per patient (allogeneic HCT: 8.83 vs 6.61, SOT: 5.61 vs 4.45) and had an incremental adjusted mean monthly cost per patient differences of $8,157 (allogeneic HCT, <i>p</i> p Results may not be generalizable to patients covered by government insurance or outside the USA. CMV post-transplant managed with conventional treatment is associated with substantial HCRU and costs. The burden remains particularly high for patients requiring multiple treatment courses for post-transplant CMV or for transplant recipients who develop myelosuppression or nephrotoxicity.
DOI: 10.6084/m9.figshare.19306974.v1
title: Evaluation of treatment patterns, healthcare resource utilization, and costs among patients receiving treatment for cytomegalovirus following allogeneic hematopoietic cell or solid organ transplantation

description: Management of cytomegalovirus (CMV) infection/disease in transplant recipients may be complicated by toxicities and resistance to conventional antivirals, adding to the overall healthcare burden. We characterized treatment patterns, healthcare resource utilization (HCRU), and costs to elucidate the healthcare burden associated with CMV therapies post-transplant. A retrospective, longitudinal cohort study of transplant recipients using data from a US commercial insurance claims database (2013–2017) was conducted. Patients with a claim for post-transplant CMV diagnosis and anti-CMV treatment (ganciclovir, valganciclovir, foscarnet, or cidofovir) were identified (Treated CMV cohort) and compared with patients with neither a claim for CMV diagnosis nor anti-CMV treatment (No CMV cohort) for outcomes including HCRU and associated costs. Allogeneic hematopoietic cell transplantation (HCT) or solid organ transplantation (SOT) recipients were analyzed separately. Anti-CMV treatment patterns were assessed in the Treated CMV cohort. Costs were evaluated among subgroups with myelosuppression or nephrotoxicity. Overall, 412 allogeneic HCT and 899 SOT patients were included in the Treated CMV cohorts, of which 41.7% and 52.5%, respectively, received multiple antiviral courses. Treated CMV cohorts compared with No CMV cohorts had higher mean monthly healthcare visits per patient (allogeneic HCT: 8.83 vs 6.61, SOT: 5.61 vs 4.45) and had an incremental adjusted mean monthly cost per patient differences of $8,157 (allogeneic HCT, <i>p</i> p Results may not be generalizable to patients covered by government insurance or outside the USA. CMV post-transplant managed with conventional treatment is associated with substantial HCRU and costs. The burden remains particularly high for patients requiring multiple treatment courses for post-transplant CMV or for transplant recipients who develop myelosuppression or nephrotoxicity.
DOI: 10.5517/ccdc.csd.cc2899mj
title: CCDC 2094317: Experimental Crystal Structure Determination

description: Related Article: Jia-Qin Li, Xiao-Hui Chen, Hai-Lei Cui|2022|J.Org.Chem.|87|2421|doi:10.1021/acs.joc.1c02322
DOI: 10.5517/ccdc.csd.cc289ym5
title: CCDC 2094937: Experimental Crystal Structure Determination

description: Related Article: Jia-Qin Li, Xiao-Hui Chen, Hai-Lei Cui|2022|J.Org.Chem.|87|2421|doi:10.1021/acs.joc.1c02322
DOI: 10.5517/ccdc.csd.cc26909v
title: CCDC 2034446: Experimental Crystal Structure Determination

description: Related Article: Ying Shi, Bo Tang, Xiao-Lei Jiang, Yue-E Jiao, Hang Xu, Bin Zhao|2022|J.Mater.Chem.A|10|4889|doi:10.1039/D1TA10522A
DOI: 10.5517/ccdc.csd.cc28c51w
title: CCDC 2096097: Experimental Crystal Structure Determination

description: Related Article: Ying Shi, Bo Tang, Xiao-Lei Jiang, Yue-E Jiao, Hang Xu, Bin Zhao|2022|J.Mater.Chem.A|10|4889|doi:10.1039/D1TA10522A
DOI: 10.5281/zenodo.6348257
title: Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".

description: The model codes, data, and plot scripts used in the paper, "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)". 7_experiments.zip contains modified model code and output data of each experiment in this study. off-line test.zip contains off-line test code and output data. plot_scripts.zip are the NCL scripts used for figures in the paper.
DOI: 10.5281/zenodo.6348256
title: Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".

description: The model codes, data, and plot scripts used in the paper, "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)". 7_experiments.zip contains modified model code and output data of each experiment in this study. off-line test.zip contains off-line test code and output data. plot_scripts.zip are the NCL scripts used for figures in the paper.
DOI: 10.5281/zenodo.4722474
title: Leveraging online shopping behaviors as a proxy for personal lifestyle choices: New insights into chronic disease prevention literacy

description: <strong>Abstract</strong> <strong>Objective: </strong>Ubiquitous internet access is reshaping the way we live, but it is accompanied by unprecedented challenges in preventing chronic diseases that are usually planted by long exposure to unhealthy lifestyles. This paper proposes leveraging online shopping behaviors as a proxy for personal lifestyle choices to improve chronic disease prevention literacy, targeted for times when e-commerce user experience has been assimilated into most people's everyday lives. <strong>Methods:</strong> Longitudinal query logs and purchase records from 15 million online shoppers were accessed, constructing a broad spectrum of lifestyle features covering various product categories and buyer personas. Using the lifestyle-related information preceding online shoppers’ first purchases of specific prescription drugs, we could determine associations between their past lifestyle choices and whether they suffered from a particular chronic disease. <strong>Results:</strong> Novel lifestyle risk factors were discovered in two exemplars—depression and type 2 diabetes, most of which showed reasonable consistency with existing healthcare knowledge. Further, such empirical findings could be adopted to locate online shoppers at higher risk of these chronic diseases with decent accuracy [i.e., (area under the receiver operating characteristic curve) AUC=0.68 for depression and AUC=0.70 for type 2 diabetes], closely matching the performance of screening surveys benchmarked against medical diagnosis. <strong>Conclusions:</strong> Mining online shopping behaviors can point medical experts to a series of lifestyle issues associated with chronic diseases that are less explored to date. Hopefully, unobtrusive chronic disease surveillance via e-commerce sites can grant consenting individuals a privilege to be connected more readily with the medical profession and sophistication. This repository provides data access for our newly discovered lifestyle risk factors. Note that: 1) For ordinal coding, results are rescaled by dividing the mean by the max and by dividing the standard deviation by the mean. 2) For nominal coding, category information is confidential, and we only report the distribution of online shoppers on the control category and the rest. Contact Yongzhen Wang (yongzhenwang@dlut.edu.cn), Xiaozhong Liu (xliu14@wpi.edu), or Jun Lin (linjun.lj@alibaba-inc.com) if there are questions or concerns.
DOI: 10.5281/zenodo.4722473
title: Leveraging online shopping behaviors as a proxy for personal lifestyle choices: New insights into chronic disease prevention literacy

description: <strong>Abstract</strong> <strong>Objective: </strong>Ubiquitous internet access is reshaping the way we live, but it is accompanied by unprecedented challenges in preventing chronic diseases that are usually planted by long exposure to unhealthy lifestyles. This paper proposes leveraging online shopping behaviors as a proxy for personal lifestyle choices to improve chronic disease prevention literacy, targeted for times when e-commerce user experience has been assimilated into most people's everyday lives. <strong>Methods:</strong> Longitudinal query logs and purchase records from 15 million online shoppers were accessed, constructing a broad spectrum of lifestyle features covering various product categories and buyer personas. Using the lifestyle-related information preceding online shoppers’ first purchases of specific prescription drugs, we could determine associations between their past lifestyle choices and whether they suffered from a particular chronic disease. <strong>Results:</strong> Novel lifestyle risk factors were discovered in two exemplars—depression and type 2 diabetes, most of which showed reasonable consistency with existing healthcare knowledge. Further, such empirical findings could be adopted to locate online shoppers at higher risk of these chronic diseases with decent accuracy [i.e., (area under the receiver operating characteristic curve) AUC=0.68 for depression and AUC=0.70 for type 2 diabetes], closely matching the performance of screening surveys benchmarked against medical diagnosis. <strong>Conclusions:</strong> Mining online shopping behaviors can point medical experts to a series of lifestyle issues associated with chronic diseases that are less explored to date. Hopefully, unobtrusive chronic disease surveillance via e-commerce sites can grant consenting individuals a privilege to be connected more readily with the medical profession and sophistication. This repository provides data access for our newly discovered lifestyle risk factors. Note that: 1) For ordinal coding, results are rescaled by dividing the mean by the max and by dividing the standard deviation by the mean. 2) For nominal coding, category information is confidential, and we only report the distribution of online shoppers on the control category and the rest. Contact Yongzhen Wang (yongzhenwang@dlut.edu.cn), Xiaozhong Liu (xliu14@wpi.edu), or Jun Lin (linjun.lj@alibaba-inc.com) if there are questions or concerns.
DOI: 10.5517/ccdc.csd.cc28tyfh
title: CCDC 2110307: Experimental Crystal Structure Determination

description: Related Article: Fu-Mao Zhang, Liang Yuan, Xin-Wei Shi, Kai-Rui Feng, Xiaojing Lan, Cheng Huang, Guo-Qiang Lin, Ping Tian, Min Huang, Shuai Tang, Dingding Gao|2022|Bioorg.Chem.|121|105705|doi:10.1016/j.bioorg.2022.105705
DOI: 10.5517/ccdc.csd.cc28z94q
title: CCDC 2114483: Experimental Crystal Structure Determination

description: Related Article: Wang Wang, Pei-Sen Zou, Li Pang, Yao Lei, Zi-Yi Huang, Nan-Ying Chen, Dong-Liang Mo, Cheng-Xue Pan, Gui-Fa Su|2022|Org.Biomol.Chem.|20|2069|doi:10.1039/D1OB02492B
DOI: 10.5517/ccdc.csd.cc290q24
title: CCDC 2115845: Experimental Crystal Structure Determination

description: Related Article: Yong-Fang Han, Xie-Ming Xu, Shuai-Hua Wang, Wen-Fei Wang, Ming-Sheng Wang, Guo-Cong Guo|2022|Chem.Eng.Journal|437|135468|doi:10.1016/j.cej.2022.135468
DOI: 10.21227/pqns-vv47
title: Dataset for the Calculation of Hematological and Biochemical Reference Intervals of the Juvenile Visayan Warty Pig

description: This &lt;file&gt; was prepared along with the establishment of the reference intervals for the hematological and biochemical parameters of the juvenile Visayan warty pig (Sus cebifrons negrinus).  The determination of the reference intervals of the juvenile Visayan warty pig was significant, as these reference intervals have never been established for the purpose of assessing the health of this critically endangered species. The file contains six separate sheets featuring the raw and transformed data, as well as the calculated reference interval.
DOI: 10.15151/esrf-es-696588807
title: Synchrotron Serial Crystallography (SSX) BAG

description: The aim of this BAG is the development of new methods, hardware and software for different applications in SSX. The new EBS machine is in the privileged position of exploiting flux density previously unmatched at synchrotron beamlines. This is likely to open a new paradigm in serial synchrotron crystallography, by enhancing the signal to noise of the diffraction data and reducing the minimum exposure time. The increase in photon flux density at the sample position will interest most of the MX beamlines and it is going to be particularly effective for microfocus beamline such as ID23-2 and ID30A3. We plan to further develop different SSX data collection methods in the attempt to profit of the characteristic of the new beam and to extend the implementation of automated procedures to simplify the access to SSX methods for the MX community.
DOI: 10.15151/esrf-es-744171059
title: Holographic and near-field ptychographic X-ray nano-tomography of materials

description: Holographic and near-field ptychographic X-ray nano-tomography of materials
DOI: 10.5281/zenodo.6348447
title: Collection of primary literature pdfs from the Goldberg reviews

description: These are the archive copies of all currently crawled pdf files from the Goldberg reviews.
DOI: 10.5519/qd.fizf6o6j
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.21227/wgy3-kw77
title: Rapid, label-free and low-cost diagnostic kit for COVID-19 based on liquid crystals and machine learning 

description: We report a label-free method for detection of the SARS-CoV-2 virus in nasopharyngeal swab samples without purification steps and multiplication of the target which simplifies and expedites the analysis process. The kit consists of a textile which is agitated with liquid crystals (LC) and placed in a crossed polarized microscopy. The swab samples are placed on the LCs. In the presence of a particular biomolecule, the direction of LCs changes locally based on the properties of the biomolecule and forms a particular pattern. As the swab samples are not perfectly purified, image processing and machine learning techniques are employed to detect the presence of specific molecules or quantify their concentrations in the medium. The method can differentiate negative and positive COVID-19 samples with an accuracy of 96% and also differentiate COVID-19 from influenza types A and B with an accuracy of 93%. The kit is portable, simple to manufacture, convenient to operate, cost-effective, rapid and sensitive. The simplicity of the specimen processing, the speed of image acquisition, and fast diagnostic operations enable the deployment of the proposed technique for performing extensive on-spot screening of COVID-19 in public places.
DOI: 10.5517/ccdc.csd.cc2968wp
title: CCDC 2121202: Experimental Crystal Structure Determination

description: Related Article: Veronica L. Show, Adam R. Johnson|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc296xjz
title: CCDC 2121811: Experimental Crystal Structure Determination

description: Related Article: Ting Gao, Yixia Ren, Zhixiang Wang, Meili Zhang, Jia Cao, Jijiang Wang|2022|J.Solid State Chem.|309|123002|doi:10.1016/j.jssc.2022.123002
DOI: 10.5517/ccdc.csd.cc2974c2
title: CCDC 2122023: Experimental Crystal Structure Determination

description: Related Article: Sheng Zhang*, Wenchao Gao, Jianxue Shi, Jingjing Li, Fengyi Li, Yating Liang, Xuan Zhan, Man-Bo Li*|2021|CSD Communication|||
description: Related Article: Sheng Zhang, Wenchao Gao, Jianxue Shi, Jingjing Li, Fengyi Li, Yating Liang, Xuan Zhan, Man-Bo Li|2022|Org.Chem.Front.|9|1261|doi:10.1039/D1QO01852C
DOI: 10.5517/ccdc.csd.cc297pr0
title: CCDC 2122562: Experimental Crystal Structure Determination

description: Related Article: Yang-Tian Yan, Ying Guo, Li-Na Zheng, Yun-Long Wu, Wei Cai, Peng-Fei Tang, Xiao-Lei Su, Wen-Yan Zhang, Yao-Yu Wang|2022|J.Solid State Chem.|309|122988|doi:10.1016/j.jssc.2022.122988
DOI: 10.5517/ccdc.csd.cc297ps1
title: CCDC 2122563: Experimental Crystal Structure Determination

description: Related Article: Yang-Tian Yan, Ying Guo, Li-Na Zheng, Yun-Long Wu, Wei Cai, Peng-Fei Tang, Xiao-Lei Su, Wen-Yan Zhang, Yao-Yu Wang|2022|J.Solid State Chem.|309|122988|doi:10.1016/j.jssc.2022.122988
DOI: 10.5517/ccdc.csd.cc238vv3
title: CCDC 1944935: Experimental Crystal Structure Determination

description: Related Article: John Low|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc298p3d
title: CCDC 2123503: Experimental Crystal Structure Determination

description: Related Article: HEMANTA Deka|2021|CSD Communication|||
description: Related Article: Hemanta Deka, Natalia Fridman, Moris S. Eisen|2022|Inorg.Chem.|61|3598|doi:10.1021/acs.inorgchem.1c03646
DOI: 10.5517/ccdc.csd.cc298z2n
title: CCDC 2123781: Experimental Crystal Structure Determination

description: Related Article: P. Tinnemans|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc298z4q
title: CCDC 2123783: Experimental Crystal Structure Determination

description: Related Article: P. Tinnemans|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc298zp8
title: CCDC 2123800: Experimental Crystal Structure Determination

description: Related Article: P. Tinnemans, Yieuw Wing Mok|2021|CSD Communication|||