cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7281/t1/k08bjz
title: Data associated with the publication: Major trends and environmental correlates of spatiotemporal shifts in the distribution of genes compared to a biogeochemical model simulation in the Chesapeake Bay

description: Microorganisms mediate critical biogeochemical transformations that affect the productivity and health of aquatic ecosystems. Metagenomic sequencing can be used to identify how genes change in response to environmental variables. However, relatively few studies directly compare gene changes to biogeochemical model predictions of corresponding processes, especially in dynamic estuarine ecosystems. We aim to understand the major drivers of spatiotemporal shifts in microbial genes and genomes within the water column of the Chesapeake and highlight the largest discrepancies of these observations with our model predictions. We used previously published shotgun metagenomic datasets, collected across multiple months, sites, and water column positions within Chesapeake Bay in 2017, and a metatranscriptomic dataset collected at one site in the Bay in 2010-2011. We found the largest changes in the relative abundance of genes involved in carbon, nitrogen, and sulfur metabolism associated with variables that change with depth and season (e.g. pH, phosphate, water temperature). Several major trends and key relationships between genes and environmental parameters deviate from distributions expected by the model, such as discrepancies between genes mediating nitrification, higher than expected abundance and expression of denitrification genes in aerobic waters, and nitrogen fixation genes in environments with relatively high ammonia but low oxygen concentrations. While more work is needed to determine the biogeochemical consequences of gene abundance deviating from our model predictions, it provides insight into processes that can be targeted for future study to better understand factors that influence gene abundance changes in an important estuarine ecosystem.
DOI: 10.18739/a23r0pv62
title: A 2022 household survey about impacts and human response to climate-related multi-hazards in Anchorage, Fairbanks, and Whitehorse

description: Little is known about how multi-hazard environments affect people, especially those living in urban areas in northern latitudes. This study surveyed homeowners in both Anchorage and Fairbanks, USA, Alaska’s two larger urban centers, to measure individual risk perceptions, mitigation response, and damages related to wildfire, ice hazards, and permafrost thaw. A geospatial hazard assessment informed the survey’s stratified sampling design. The survey had 751 respondents.
DOI: 10.6084/m9.figshare.1235300
title: A computed mechanistic pathway for the formation of an amide from an acid and an amine in non-polar solution.

description: The mechanistic pathway for the formation of an amide from a primary amine and a carboxylic acid, evaluated using potential energy surfaces computed at the wB97XD/6-311G(d,p) and the B2PLYP+D3/TZVP procedures, with a an applied continuum solvent field for p-xylene.
DOI: 10.17632/z9zw7nt5h2.1
title: Twitter Sentiments Dataset

description: The dataset has three sentiments namely, negative, neutral, and positive. It contains two fields for the tweet and label.
DOI: 10.6084/m9.figshare.25138460
title: 无标题项目

description: 关于社交时差和能源的协会
DOI: 10.6084/m9.figshare.25138460.v1
title: 无标题项目

description: 关于社交时差和能源的协会
DOI: 10.6084/m9.figshare.25138370
title: Known actionable driver oncogene mutations were excluded from neoadjuvant chemoimmunotherapy of non-small cell lung cancer.

description: These known actionable driver oncogene mutations were excluded from neoadjuvant chemoimmunotherapy of non-small cell lung cancer in a retrospective cohort study, as they had corresponding target treatments.
DOI: 10.6084/m9.figshare.25138370.v1
title: Known actionable driver oncogene mutations were excluded from neoadjuvant chemoimmunotherapy of non-small cell lung cancer.

description: These known actionable driver oncogene mutations were excluded from neoadjuvant chemoimmunotherapy of non-small cell lung cancer in a retrospective cohort study, as they had corresponding target treatments.
DOI: 10.34740/kaggle/dsv/7544662
title: World Important Events - Ancient to Modern
DOI: 10.34740/kaggle/dsv/7544678
title: World Important Events - Ancient to Modern
DOI: 10.5281/zenodo.10612780
title: Meteorological Stations Information
DOI: 10.5281/zenodo.10612781
title: Meteorological Stations Information
DOI: 10.6084/m9.figshare.25138478
title: <b>Evaluation and Analysis of Antennal Transcriptome for OBPs, CSPs, and Suitable Reference Genes in the leaf beetle pest </b><b>Diorhabda rybakowi</b><b> Weise (Coleoptera: Chrysomelidae)</b>

description: Diorhabda rybakowiWeise is one of the major pests of the Nitraria spp., a pioneer plant for windbreak and sand fixation, and poses a threat tolocal livestockand ecosystems. In order to clarify the key target gene species of D. rybakowiolfactionand to provide a theoretical basis for the development of green chemical attractants or repellents. The optimal reference genes under four different conditions (tissue, developmental stage, sex and temperature) were determined, and bioinformatics and characterization of tissue expression profiles of two soluble olfactory proteins (OBPsand CSPs) were investigated. The results showed that the best endogenous genes were RPL13aand RPS18in tissue, RPS18and RPL13ain developmental stage, RPL19and RPS18in sex and TUBand RPL13ain temperature.DrybOBP3, DrybOBP6, DrybOBP7, DrybOBP10, DrybOBP11, DrybCSP2,and DrybCSP5were highly expressed in the antennae, which have importantolfactoryroles.The results of this study not only provide a basis for further in-depth research on the olfactory molecular mechanisms of host-specialized pests, but also provide a theoretical basis for the future development of new chemical attractants or repellents using volatiles to control D. rybakowi.
DOI: 10.6084/m9.figshare.25138478.v1
title: <b>Evaluation and Analysis of Antennal Transcriptome for OBPs, CSPs, and Suitable Reference Genes in the leaf beetle pest </b><b>Diorhabda rybakowi</b><b> Weise (Coleoptera: Chrysomelidae)</b>

description: Diorhabda rybakowiWeise is one of the major pests of the Nitraria spp., a pioneer plant for windbreak and sand fixation, and poses a threat tolocal livestockand ecosystems. In order to clarify the key target gene species of D. rybakowiolfactionand to provide a theoretical basis for the development of green chemical attractants or repellents. The optimal reference genes under four different conditions (tissue, developmental stage, sex and temperature) were determined, and bioinformatics and characterization of tissue expression profiles of two soluble olfactory proteins (OBPsand CSPs) were investigated. The results showed that the best endogenous genes were RPL13aand RPS18in tissue, RPS18and RPL13ain developmental stage, RPL19and RPS18in sex and TUBand RPL13ain temperature.DrybOBP3, DrybOBP6, DrybOBP7, DrybOBP10, DrybOBP11, DrybCSP2,and DrybCSP5were highly expressed in the antennae, which have importantolfactoryroles.The results of this study not only provide a basis for further in-depth research on the olfactory molecular mechanisms of host-specialized pests, but also provide a theoretical basis for the future development of new chemical attractants or repellents using volatiles to control D. rybakowi.
DOI: 10.4121/2949ab36-4860-4c96-a751-52eeb6e8022d
title: Data underlying the publication "Fatty Liver Index and mortality after myocardial infarction: A prospective analysis in the Alpha Omega Cohort"

description: Data in this repository consists of the metadata, a read-me file, and the codebook, but not the minimal dataset to reproduce the results of the corresponding manuscript. The dataset is secured at the Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.<br>Accumulating evidence shows that NAFLD might play a role in the etiology and progression of CVD, but little is known on the association of NAFLD and CVD mortality in patients with a history of a myocardial infarction (MI). Therefore, we studied the relationship of Fatty Liver Index (FLI), as indicator for non-alcoholic fatty liver disease (NAFLD), with 12-year risk of cardiovascular disease (CVD) and all-cause mortality in post-MI patients. We included 4165 Dutch patients from the Alpha Omega Cohort aged 60-80 years who had an MI ≤10 years prior to study enrolment. NAFLD was defined as FLI ≥60. Patients were followed for cause-specific mortality from enrolment (2002-2006) through December 2018. Hazard ratios for CVD and all-cause mortality were obtained by multivariable Cox regression using FLI &lt;30 (indicating absence of NAFLD) as the reference. Baseline FLI as a continuous measure were studied with mortality using restricted cubic splines analyses. The median (IQR) FLI was 68 (48-84). Sixty percent of the patients had FLI ≥60, who were more likely to be male and more often had diabetes, high blood pressure and high serum cholesterol levels. During 12 years of follow-up, 2042 deaths occurred of which 846 from CVD. Patients with NAFLD were at increased risk of CVD mortality (HR: 1.55 [1.19, 2.03]) and all-cause mortality (HR: 1.21 [1.03; 1.41]) compared to patients without NAFLD. Results remained consistent after excluding patients with obesity and diabetes. To conclude, the adverse association of FLI with CVD mortality were stronger in female than in male patients with conventional cut-off points. FLI ≥60, indicating NAFLD, was a predictor for CVD and all-cause mortality in post-MI patients, independent of other cardiometabolic risk factors. However, cut-off points might differ between male and female patients for predicting CVD mortality.
DOI: 10.4121/2949ab36-4860-4c96-a751-52eeb6e8022d.v2
title: Data underlying the publication "Fatty Liver Index and mortality after myocardial infarction: A prospective analysis in the Alpha Omega Cohort"

description: Data in this repository consists of the metadata, a read-me file, and the codebook, but not the minimal dataset to reproduce the results of the corresponding manuscript. The dataset is secured at the Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.<br>Accumulating evidence shows that NAFLD might play a role in the etiology and progression of CVD, but little is known on the association of NAFLD and CVD mortality in patients with a history of a myocardial infarction (MI). Therefore, we studied the relationship of Fatty Liver Index (FLI), as indicator for non-alcoholic fatty liver disease (NAFLD), with 12-year risk of cardiovascular disease (CVD) and all-cause mortality in post-MI patients. We included 4165 Dutch patients from the Alpha Omega Cohort aged 60-80 years who had an MI ≤10 years prior to study enrolment. NAFLD was defined as FLI ≥60. Patients were followed for cause-specific mortality from enrolment (2002-2006) through December 2018. Hazard ratios for CVD and all-cause mortality were obtained by multivariable Cox regression using FLI &lt;30 (indicating absence of NAFLD) as the reference. Baseline FLI as a continuous measure were studied with mortality using restricted cubic splines analyses. The median (IQR) FLI was 68 (48-84). Sixty percent of the patients had FLI ≥60, who were more likely to be male and more often had diabetes, high blood pressure and high serum cholesterol levels. During 12 years of follow-up, 2042 deaths occurred of which 846 from CVD. Patients with NAFLD were at increased risk of CVD mortality (HR: 1.55 [1.19, 2.03]) and all-cause mortality (HR: 1.21 [1.03; 1.41]) compared to patients without NAFLD. Results remained consistent after excluding patients with obesity and diabetes. To conclude, the adverse association of FLI with CVD mortality were stronger in female than in male patients with conventional cut-off points. FLI ≥60, indicating NAFLD, was a predictor for CVD and all-cause mortality in post-MI patients, independent of other cardiometabolic risk factors. However, cut-off points might differ between male and female patients for predicting CVD mortality.
DOI: 10.5517/ccdc.csd.cc2gjcft
title: CCDC 2279846: Experimental Crystal Structure Determination

description: Related Article: Elise Boudry, Flavien Bourdreux, Jérôme Marrot, Xavier Moreau, Clément Ghiazza|2024|J.Am.Chem.Soc.|146|2845|doi:10.1021/jacs.3c14467
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gjcgv
title: CCDC 2279847: Experimental Crystal Structure Determination

description: Related Article: Elise Boudry, Flavien Bourdreux, Jérôme Marrot, Xavier Moreau, Clément Ghiazza|2024|J.Am.Chem.Soc.|146|2845|doi:10.1021/jacs.3c14467
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gjchw
title: CCDC 2279848: Experimental Crystal Structure Determination

description: Related Article: Elise Boudry, Flavien Bourdreux, Jérôme Marrot, Xavier Moreau, Clément Ghiazza|2024|J.Am.Chem.Soc.|146|2845|doi:10.1021/jacs.3c14467
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gjcjx
title: CCDC 2279849: Experimental Crystal Structure Determination

description: Related Article: Elise Boudry, Flavien Bourdreux, Jérôme Marrot, Xavier Moreau, Clément Ghiazza|2024|J.Am.Chem.Soc.|146|2845|doi:10.1021/jacs.3c14467
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gjcky
title: CCDC 2279850: Experimental Crystal Structure Determination

description: Related Article: Elise Boudry, Flavien Bourdreux, Jérôme Marrot, Xavier Moreau, Clément Ghiazza|2024|J.Am.Chem.Soc.|146|2845|doi:10.1021/jacs.3c14467
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsk3t
title: CCDC 2168546: Experimental Crystal Structure Determination

description: Related Article: Yu Song, Tingxuan Fu, Junbo Ning, Xiuyan Wang, Jiaxin Liu, Limin Chang|2023|J.Cluster Sci.|35|217|doi:10.1007/s10876-023-02478-9
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dby2s
title: CCDC 2215045: Experimental Crystal Structure Determination

description: Related Article: Adam F. Henwood, Niamh Curtin, Sandra Estalayo-Adrián, Aramballi J. Savyasachi, Tómas A. Gudmundsson, June I. Lovitt, L. Constance Sigurvinsson, Hannah L. Dalton, Chris S. Hawes, Denis Jacquemin, Donal F. O’Shea, Thorfinnur Gunnlaugsson|2023|Chem (Cell Press)|10|578|doi:10.1016/j.chempr.2023.10.001
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h6cy1
title: CCDC 2300043: Experimental Crystal Structure Determination

description: Related Article: Sen Zhang, Hai-Tao Zhu, Jia-Jun Xi, San-Bao Wang, Xin Chang, Cheng-Ping Shen, Yue Feng, Zhao-Yang Zhang, Meng-Ting Zhao, Li-Kun Zhang, Mi Li, Xiaojie Jin, An-Xi Zhou, Ni-Ni Zhou|2024|J.Org.Chem.|89|1633|doi:10.1021/acs.joc.3c02300
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h6d59
title: CCDC 2300050: Experimental Crystal Structure Determination

description: Related Article: Sen Zhang, Hai-Tao Zhu, Jia-Jun Xi, San-Bao Wang, Xin Chang, Cheng-Ping Shen, Yue Feng, Zhao-Yang Zhang, Meng-Ting Zhao, Li-Kun Zhang, Mi Li, Xiaojie Jin, An-Xi Zhou, Ni-Ni Zhou|2024|J.Org.Chem.|89|1633|doi:10.1021/acs.joc.3c02300
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6096/1010
title: Airborne 3D point cloud

description: The 3D point cloud was acquired with a high resolved 3D-LiDAR (RIEGL VQ-1560i) colocated with 2 cameras (RGB and Near-Infrared). We acquire the full wave form signal 
from the laser scanner and provide multi-echo data after post-processing.

Additional data is associated to each 3D-point (x, y, z):
    - Reflectance (intensity) at the laser wavelength (1064 nm, decibel (dB))
    - Echo number
    - Total number of echo returned from the laser pulse
    - Acquisition viewing angle (degree)
    - Point identification number
    - GPS acquisition time (UTC)
    - Point elevation (above sea level, meter)
    - RGB + NIR (800 nm) (camera Digit Number, for display only)

The 3D-LiDAR calibration (geometry and radiometry) was achieved in lab and controlled during a first test-flight of the AI4GEO/CAMCATT campaign thanks to referenced
ground-targets deployed on the ONERA test field.

3D data characteristics:
    - Point density: ~100 points/m²

The 3D point cloud is provided georeferenced in .LAZ format. Check the README file to get more information on the data organisation and characteristics.
DOI: 10.6084/m9.figshare.25138505
title: Observational Skills data

description: Observation skills data
DOI: 10.6084/m9.figshare.25138520.v1
title: Data from: <b>Genetically predicted </b><b>brain cortical structure </b><b>mediate the </b><b>causality</b><b> between </b><b>insulin resistance</b><b> and </b><b>cogniti</b><b>ve impairment</b>

description: Supplemental material for "Genetically predicted brain cortical structure mediate the causality between insulin resistance and cognitive impairment". Insulin resistance is tightly related to cognition; however, the causal association between them remains a matter of debate. Our investigation aims to establish the causal relationship and direction between insulin resistance and cognition, while also quantifying the mediating role of brain cortical structure in this association. Our study noticed that elevated levels of insulin resistance adversely affected cognition, with a partial mediation effect through alterations in brain cortical structure.
DOI: 10.6084/m9.figshare.25138520
title: Data from: <b>Genetically predicted </b><b>brain cortical structure </b><b>mediate the </b><b>causality</b><b> between </b><b>insulin resistance</b><b> and </b><b>cogniti</b><b>ve impairment</b>

description: Supplemental material for "Genetically predicted brain cortical structure mediate the causality between insulin resistance and cognitive impairment". Insulin resistance is tightly related to cognition; however, the causal association between them remains a matter of debate. Our investigation aims to establish the causal relationship and direction between insulin resistance and cognition, while also quantifying the mediating role of brain cortical structure in this association. Our study noticed that elevated levels of insulin resistance adversely affected cognition, with a partial mediation effect through alterations in brain cortical structure.
DOI: 10.6084/m9.figshare.24947508.v4
title: <b>Development and Validation of an Interprofessional Collaborative Educational Module on the Self-Management of Foot for Individuals with Type II Diabetes Mellitus</b>

description: <b>Background: </b>Insufficient awareness of foot self-care among diabetic individuals results in diabetic foot ulcers. The management of diabetes and diabetic foot ulcers demands a well-coordinated approach that involves multiple healthcare providers (HCPs). The present study aims to develop and validate an interprofessional collaborative (IPC) educational program involving HCPs to efficiently oversee and instruct the public on appropriate strategies for self-managing diabetic foot health.<b>Materials and Methods: </b>The research group worked on creating an educational module titled 'An Interprofessional Collaborative Educational Module on Self-Management of Foot for Individuals with Type II Diabetes Mellitus.' The objective of this module was to promote the adoption of proper practices in self-managing foot health for individuals with type 2 diabetes mellitus. A panel of thirteen experts participated in a two-stage validation process using the Delphi method to assess the module and its educational resources. Subsequently, the module was tested on a group of 30 participants, i.e., individuals with diabetes, with its efficacy evaluated through conversation analysis and in-depth interviews.<b>Results: </b>The three-month-long module included three sessions• 1: Diabetes and its Health Implications• 2: Diabetic Foot and Self-Management• 3: Interprofessional Education in Diabetic foot careThe mode of content delivery was via Whatsapp, and the educational resources, in the form of pamphlets, flowcharts, handouts, case-based cartoons, and videos on diabetes, including diabetic foot, its risks, and self-management, were shared regularly.All participating experts consensually validated the module and educational resources. Analysis of in-depth interviews revealed that the module immensely benefitted the participants and helped them improve their knowledge and practices of foot care in diabetes.<b>Conclusion: </b>The study concludes that IPC educational modules can enhance adherence to proper diabetic foot care practices, potentially reducing the occurrence of foot ulcers and amputations, and ultimately improving the quality of life for individuals with diabetes.
DOI: 10.5281/zenodo.10612897
title: KOMPLAENS NAZORAT, SANKSIYALAR VA HUQUQ
DOI: 10.5281/zenodo.10612898
title: KOMPLAENS NAZORAT, SANKSIYALAR VA HUQUQ