cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14992837.v1
title: Additional file 4 of The DUB family in Populus: identification, characterization, evolution and expression patterns

description: Additional file 4 Table S4. RNA-sequencing data for 88 PtrDUB genes used in this study.
DOI: 10.6084/m9.figshare.14992837
title: Additional file 4 of The DUB family in Populus: identification, characterization, evolution and expression patterns

description: Additional file 4 Table S4. RNA-sequencing data for 88 PtrDUB genes used in this study.
DOI: 10.6084/m9.figshare.14992840
title: Additional file 5 of The DUB family in Populus: identification, characterization, evolution and expression patterns

description: Additional file 5 Table S5. The value of Ka, Ks, and Ka/Ks for syntenic gene pairs from different species.
DOI: 10.6084/m9.figshare.14992840.v1
title: Additional file 5 of The DUB family in Populus: identification, characterization, evolution and expression patterns

description: Additional file 5 Table S5. The value of Ka, Ks, and Ka/Ks for syntenic gene pairs from different species.
DOI: 10.6084/m9.figshare.14992843
title: Additional file 6 of The DUB family in Populus: identification, characterization, evolution and expression patterns

description: Additional file 6 Table S6 Detailed information of cis-acting elements of 88 PtrDUB genes.
DOI: 10.6084/m9.figshare.14992843.v1
title: Additional file 6 of The DUB family in Populus: identification, characterization, evolution and expression patterns

description: Additional file 6 Table S6 Detailed information of cis-acting elements of 88 PtrDUB genes.
DOI: 10.6084/m9.figshare.14992939
title: Additional file 2 of Transcriptome and genome evolution during HER2-amplified breast neoplasia

description: Additional file 2: Supplementary Table 3. Differentially expressed genes in comparison between DCIS_noamp and DCIS_amp. Gene set enrichment analysis (GSEA) and ToppFun analysis results on the upregulated genes in DCIS_amp.
DOI: 10.6084/m9.figshare.14992939.v1
title: Additional file 2 of Transcriptome and genome evolution during HER2-amplified breast neoplasia

description: Additional file 2: Supplementary Table 3. Differentially expressed genes in comparison between DCIS_noamp and DCIS_amp. Gene set enrichment analysis (GSEA) and ToppFun analysis results on the upregulated genes in DCIS_amp.
DOI: 10.6084/m9.figshare.14992942.v1
title: Additional file 3 of Transcriptome and genome evolution during HER2-amplified breast neoplasia

description: Additional file 3: Supplementary Table 6. Differentially expressed genes in comparison between DCIS_neg and DCIS_noamp. Gene set enrichment analysis (GSEA) and ToppFun analysis results on the upregulated genes in DCIS_noamp.
DOI: 10.6084/m9.figshare.14992942
title: Additional file 3 of Transcriptome and genome evolution during HER2-amplified breast neoplasia

description: Additional file 3: Supplementary Table 6. Differentially expressed genes in comparison between DCIS_neg and DCIS_noamp. Gene set enrichment analysis (GSEA) and ToppFun analysis results on the upregulated genes in DCIS_noamp.
DOI: 10.6084/m9.figshare.14993045.v1
title: Additional file 1 of Charged aerosol detector response modeling for fatty acids based on experimental settings and molecular features: a machine learning approach

description: Additional file 1: Table S1. Data table for QSPR model building.
DOI: 10.6084/m9.figshare.14993045
title: Additional file 1 of Charged aerosol detector response modeling for fatty acids based on experimental settings and molecular features: a machine learning approach

description: Additional file 1: Table S1. Data table for QSPR model building.
DOI: 10.25934/00001323.1
title: IPD datapackage for study 'A Phase III, 52 Week, Randomized, Double-blind, 3-arm Parallel Group Study, Comparing the Efficacy, Safety and Tolerability of the Fixed Dose Triple Combination FF/UMEC/VI With the Fixed Dose Dual Combinations of FF/VI and UMEC/VI, All Administered Once-daily in the Morning Via a Dry Powder Inhaler in Subjects With Chronic Obstructive Pulmonary Disease' and research request: 'Development and validation of a prediction model for the indication of inhaled corticosteroid (ICS) in patients with chronic obstructive pulmonary disease (COPD)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5517/ccdc.csd.cc25grs6
title: CCDC 2010188: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Jared L. Barr, Carlos A. Cruz, James D. Blakemore|2021|Organometallics|40|2139|doi:10.1021/acs.organomet.1c00282
DOI: 10.5517/ccdc.csd.cc25grt7
title: CCDC 2010189: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Jared L. Barr, Carlos A. Cruz, James D. Blakemore|2021|Organometallics|40|2139|doi:10.1021/acs.organomet.1c00282
DOI: 10.5517/ccdc.csd.cc25grv8
title: CCDC 2010190: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Jared L. Barr, Carlos A. Cruz, James D. Blakemore|2021|Organometallics|40|2139|doi:10.1021/acs.organomet.1c00282
DOI: 10.25919/rpwh-wc51
title: GenCost project data

description: This repository provides data from the GenCost project. The GenCost project is a collaboration between CSIRO and AEMO, together with stakeholder input, to deliver an annual process of updating electricity generation and storage costs. Each report incorporates updated current and future cost estimates and global electricity scenarios.
DOI: 10.3886/e145221
title: Background Check and Licensing Policies for Firearm Purchase: Design, Implementation, and Enforcement Elements by State (1980-2019)

description: This database characterizes variation in the design, implementation, and enforcement of comprehensive background check and purchaser licensing (permit-to-purchase) policies across states, from 1980 through 2019. Design, implementation, and enforcement elements were chosen based on their hypothesized ability to influence the effectiveness of comprehensive background check and purchaser licensing policies. Design elements include policy characteristics such as whether the background check is completed at the point of sale or during a permitting process, the ease of completing the permitting process, and whether and which additional firearm prohibitions the state includes (e.g. violent misdemeanor conviction). Implementation elements include the quality and completeness of prohibiting records and the ways in which these data are shared across agencies. Enforcement elements include the presence and severity of penalties for violating these laws and the presence of complementary laws such as anti-straw purchasing policies.<br>
description: Smallest Geographic Unit: State
DOI: 10.3886/e145221v1
title: Background Check and Licensing Policies for Firearm Purchase: Design, Implementation, and Enforcement Elements by State (1980-2019)

description: This database characterizes variation in the design, implementation, and enforcement of comprehensive background check and purchaser licensing (permit-to-purchase) policies across states, from 1980 through 2019. Design, implementation, and enforcement elements were chosen based on their hypothesized ability to influence the effectiveness of comprehensive background check and purchaser licensing policies. Design elements include policy characteristics such as whether the background check is completed at the point of sale or during a permitting process, the ease of completing the permitting process, and whether and which additional firearm prohibitions the state includes (e.g. violent misdemeanor conviction). Implementation elements include the quality and completeness of prohibiting records and the ways in which these data are shared across agencies. Enforcement elements include the presence and severity of penalties for violating these laws and the presence of complementary laws such as anti-straw purchasing policies.<br>
description: Smallest Geographic Unit: State
DOI: 10.5281/zenodo.5108981
title: DatasetS1 Muztagh and Tahman fault WorldView-2 DEM

description: The 1-m resolution WorldView-2 digital elevation model (DEM) covering the Muztagh Ata and Tahman faults.
DOI: 10.5281/zenodo.5108980
title: DatasetS1 Muztagh and Tahman fault WorldView-2 DEM

description: The 1-m resolution WorldView-2 digital elevation model (DEM) covering the Muztagh Ata and Tahman faults.
DOI: 10.5281/zenodo.5091828
title: Data set for AYUSH interventions for COVID-19- A Living Systematic Review and Meta-analysis

description: The COVID-19 pandemic has put a huge strain on governments and medical professionals all across the world.<br> To identify acceptable treatments, many clinical studies from the Indian system of Traditional Medicines [Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homoeopathy (AYUSH)] have been conducted. Objective of the study is determine the efficiency of the Traditional System of Indian Medicine (AYUSH system) in lowering the incidence, duration, and severity of COVID-19 through a living systematic review and meta-analysis. We will search the following databases e.g; Pubmed; the Cochrane central register of controlled trials (CENTRAL); the Clinical Trials Registry - India (CTRI); Digital Helpline for Ayurveda Research Articles (DHARA): AYUSH research portal; WHO COVID-19 database etc. Clinical improvement, WHO ordinal scale, viral clearance, incidences of COVID-19 infection, and mortality will be considered as primary outcomes. Secondary outcomes will be use of O2 therapy or mechanical ventilator, admission to high dependency unit or emergency unit, duration of hospitalization, the time to symptom resolution, and adverse events. The review will be updated bi-monthly with two updates. It will provide practitioners, guideline developers, and authorities with up-to-date syntheses on interventions on a regular basis to help them make health-care decisions about AYUSH therapies for COVID-19 management. Study is supported by World Health Organization, South East Asia Regional Office, New Delhi, India. Here, we shared the result of our search strategy of our project and data extraction tool developed.
DOI: 10.5281/zenodo.5091827
title: Data set for AYUSH interventions for COVID-19- A Living Systematic Review and Meta-analysis

description: The COVID-19 pandemic has put a huge strain on governments and medical professionals all across the world.<br> To identify acceptable treatments, many clinical studies from the Indian system of Traditional Medicines [Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homoeopathy (AYUSH)] have been conducted. Objective of the study is determine the efficiency of the Traditional System of Indian Medicine (AYUSH system) in lowering the incidence, duration, and severity of COVID-19 through a living systematic review and meta-analysis. We will search the following databases e.g; Pubmed; the Cochrane central register of controlled trials (CENTRAL); the Clinical Trials Registry - India (CTRI); Digital Helpline for Ayurveda Research Articles (DHARA): AYUSH research portal; WHO COVID-19 database etc. Clinical improvement, WHO ordinal scale, viral clearance, incidences of COVID-19 infection, and mortality will be considered as primary outcomes. Secondary outcomes will be use of O2 therapy or mechanical ventilator, admission to high dependency unit or emergency unit, duration of hospitalization, the time to symptom resolution, and adverse events. The review will be updated bi-monthly with two updates. It will provide practitioners, guideline developers, and authorities with up-to-date syntheses on interventions on a regular basis to help them make health-care decisions about AYUSH therapies for COVID-19 management. Study is supported by World Health Organization, South East Asia Regional Office, New Delhi, India. Here, we shared the result of our search strategy of our project and data extraction tool developed.
DOI: 10.5281/zenodo.5109073
title: Data used, summary and codes: A validation standard for Area of Habitat maps for terrestrial birds and mammals

description: Birds_AOH_Metadata: Logistic modelling and point validation summary along with pixel summary of AOH maps for Birds . Mammals_AOH_Metadata: Logistic modelling and point validation summary along with pixel summary of AOH maps for Mammals. Column_Names_Index_AOH_Metedata: Description of column names of Birds_AOH_Metadata and Mammals_AOH_Metadata Point_localities_ebird: Latitude and longitude of points per species for birds downloaded from eBird used to validate the AOH maps. Point_localities_gbif: Latitude and longitude of points per species for mammals downloaded from GBIF used to validate the AOH maps. Logistic_Regression_Codes_AOH_Validation: R script for logistic modelling. Point_Validation_Codes_AOH_Validation: R script for point validation of AOH maps. Sample_AOH_Maps: Few sample AOH maps which were validated.
DOI: 10.5281/zenodo.5059898
title: Data used, summary and codes: A validation standard for Area of Habitat maps for terrestrial birds and mammals

description: Birds_AOH_Metadata: Logistic modelling and point validation summary along with pixel summary of AOH maps for Birds . Mammals_AOH_Metadata: Logistic modelling and point validation summary along with pixel summary of AOH maps for Mammals. Column_Names_Index_AOH_Metedata: Description of column names of Birds_AOH_Metadata and Mammals_AOH_Metadata Point_localities_ebird: Latitude and longitude of points per species for birds downloaded from eBird used to validate the AOH maps. Point_localities_gbif: Latitude and longitude of points per species for mammals downloaded from GBIF used to validate the AOH maps. Logistic_Regression_Codes_AOH_Validation: R script for logistic modelling. Point_Validation_Codes_AOH_Validation: R script for point validation of AOH maps. Sample_AOH_Maps: Few sample AOH maps which were validated.
DOI: 10.21227/d2kr-vz25
title: High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test

description: To address the problem of online automatic inspection of drug liquid bottles in production line, an implantable visual inspection system is designed and the ensemble learning algorithm for detection is proposed based on multi-features fusion. A tunnel structure is designed for visual inspection system, which allows thebottles inspection to be automated without changing original processes and devices. A high precision method is proposed for vision detection of drug liquid bottles. Local background difference method is utilized as a soft on-offto capture bottle image. And an image gray level equalization pre-processing technology is used to eliminate the impact from illumination.Three features are designed, which contain blocked histogram of gradient,blocked histogram of gray and Raw-pixel. An ensemble learning algorithm is proposed based on independence test and multi-features fusion, after theoretically analyzing the precondition of precision boosting to ensemble learning. Some results of analysis and comparison prove that the proposed method is advanced compare with baseline methods.And specially, there exist remarkable advantagesin our method, when there are some noisesin sample labels. Then, we carried on a 72 hours continuous test ona practical production line, in which the error rate of inspection is less than 1‰. In terms of time and precision,it is superior to the traditionalmanual detection. And hence the test results prove that the visual inspection system designed and algorithm proposed are advanced and practical.
DOI: 10.5281/zenodo.5109090
title: Prisma P Checklist of protocol - AYUSH interventions for COVID-19 - A Living Systematic Review and Meta-analysis

description: The COVID-19 pandemic has put a huge strain on governments and medical professionals all across the world.<br> To identify acceptable treatments, many clinical studies from the Indian system of Traditional Medicines [Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homoeopathy (AYUSH)] have been conducted. Objective of the study is determine the efficiency of the Traditional System of Indian Medicine (AYUSH system) in lowering the incidence, duration, and severity of COVID-19 through a living systematic review and meta-analysis. The review will be updated bi-monthly with two updates. It will provide practitioners, guideline developers, and authorities with up-to-date syntheses on interventions on a regular basis to help them make health-care decisions about AYUSH therapies for COVID-19 management. Study is supported by World Health Organization, South East Asia Regional Office, New Delhi, India. Here, we shared the PRISMA-P checklist of our project developed.
DOI: 10.5281/zenodo.5109089
title: Prisma P Checklist of protocol - AYUSH interventions for COVID-19 - A Living Systematic Review and Meta-analysis

description: The COVID-19 pandemic has put a huge strain on governments and medical professionals all across the world.<br> To identify acceptable treatments, many clinical studies from the Indian system of Traditional Medicines [Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homoeopathy (AYUSH)] have been conducted. Objective of the study is determine the efficiency of the Traditional System of Indian Medicine (AYUSH system) in lowering the incidence, duration, and severity of COVID-19 through a living systematic review and meta-analysis. The review will be updated bi-monthly with two updates. It will provide practitioners, guideline developers, and authorities with up-to-date syntheses on interventions on a regular basis to help them make health-care decisions about AYUSH therapies for COVID-19 management. Study is supported by World Health Organization, South East Asia Regional Office, New Delhi, India. Here, we shared the PRISMA-P checklist of our project developed.
DOI: 10.6084/m9.figshare.14690882.v1
title: Assessing SPP1/Osteopontin (OPN) Splice Variants and Their Association to Nonmelanoma Skin Cancer by Absolute Quantification: Identification of OPN-5 Subvariants and Their Protein Coding Potential

description: The study evaluated whether SPP1/osteopontin (OPN) splice variants are differentially expressed in nonmelanoma skin cancer compared to normal skin. The absolute number of mRNA molecules of OPN-a predominated in nonmelanoma skin cancer and in normal skin compared to OPN-b, OPN-c, and OPN-5. Furthermore, mRNAs of OPN-a, OPN-b, and OPN-c were expressed in higher levels in cutaneous squamous cell carcinomas and basal cell carcinomas relative to normal skin. Additionally, in normal skin, OPN-5 had higher expression than OPN-b and OPN-c, and OPN-c in nonmelanoma skin cancer consisted of subvariants, which were cloned and analyzed for protein expression.
DOI: 10.6084/m9.figshare.14493375
title: Data and Codes from Drivers of PM2.5 air pollution deaths in China 2002–2017

description: We combined index decomposition analysis and chemical transport modeling to quantify the relative influence of eight different factors on the number of PM2.5-related deaths in China over the 15-year period 2002–2017. Our findings suggest that further improvements in air quality must depend upon not only stringent end-of-pipe control policies but reinforced by energy-climate policies and continuing changes in China’s economic structure.
DOI: 10.6084/m9.figshare.14493375.v1
title: Data and Codes from Drivers of PM2.5 air pollution deaths in China 2002–2017

description: We combined index decomposition analysis and chemical transport modeling to quantify the relative influence of eight different factors on the number of PM2.5-related deaths in China over the 15-year period 2002–2017. Our findings suggest that further improvements in air quality must depend upon not only stringent end-of-pipe control policies but reinforced by energy-climate policies and continuing changes in China’s economic structure.
DOI: 10.5517/ccdc.csd.cc270mnk
title: CCDC 2056188: Experimental Crystal Structure Determination

description: Related Article: Jun-Xiong He, Zhi-Hao Zhang, Bo-Shuai Mu, Xiao-Yuan Cui, Jian Zhou, Jin-Sheng Yu|2021|J.Org.Chem.|86|9206|doi:10.1021/acs.joc.1c00754
DOI: 10.5517/ccdc.csd.cc270mpl
title: CCDC 2056189: Experimental Crystal Structure Determination

description: Related Article: Jun-Xiong He, Zhi-Hao Zhang, Bo-Shuai Mu, Xiao-Yuan Cui, Jian Zhou, Jin-Sheng Yu|2021|J.Org.Chem.|86|9206|doi:10.1021/acs.joc.1c00754
DOI: 10.5517/ccdc.csd.cc270mqm
title: CCDC 2056190: Experimental Crystal Structure Determination

description: Related Article: Jun-Xiong He, Zhi-Hao Zhang, Bo-Shuai Mu, Xiao-Yuan Cui, Jian Zhou, Jin-Sheng Yu|2021|J.Org.Chem.|86|9206|doi:10.1021/acs.joc.1c00754
DOI: 10.5517/ccdc.csd.cc270sjl
title: CCDC 2056339: Experimental Crystal Structure Determination

description: Related Article: Di Shen, Wenhan Jin, Yulong Bai, Yanan Huang, Haochen Lyu, Lianggang Zeng, Mengdie Wang, Yuqi Tang, Wang Wan, Xuepeng Dong, Zhenming Gao, Hai-Long Piao, Xiaojing Liu, Yu Liu|2021|Angew.Chem.,Int.Ed.|60|16067|doi:10.1002/anie.202103674
DOI: 10.5517/ccdc.csd.cc27rd2h
title: CCDC 2078056: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Stephanie J. Urwin, Eric S. Yang, Jose M. Goicoechea|2021|J.Am.Chem.Soc.|143|10367|doi:10.1021/jacs.1c04417
DOI: 10.5517/ccdc.csd.cc27rd3j
title: CCDC 2078057: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Stephanie J. Urwin, Eric S. Yang, Jose M. Goicoechea|2021|J.Am.Chem.Soc.|143|10367|doi:10.1021/jacs.1c04417
DOI: 10.5517/ccdc.csd.cc27rd4k
title: CCDC 2078058: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Stephanie J. Urwin, Eric S. Yang, Jose M. Goicoechea|2021|J.Am.Chem.Soc.|143|10367|doi:10.1021/jacs.1c04417
DOI: 10.5517/ccdc.csd.cc27rd5l
title: CCDC 2078059: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Stephanie J. Urwin, Eric S. Yang, Jose M. Goicoechea|2021|J.Am.Chem.Soc.|143|10367|doi:10.1021/jacs.1c04417
DOI: 10.5517/ccdc.csd.cc27rd6m
title: CCDC 2078060: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Stephanie J. Urwin, Eric S. Yang, Jose M. Goicoechea|2021|J.Am.Chem.Soc.|143|10367|doi:10.1021/jacs.1c04417
DOI: 10.5517/ccdc.csd.cc27rd7n
title: CCDC 2078061: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Stephanie J. Urwin, Eric S. Yang, Jose M. Goicoechea|2021|J.Am.Chem.Soc.|143|10367|doi:10.1021/jacs.1c04417
DOI: 10.5517/ccdc.csd.cc27rd8p
title: CCDC 2078062: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Stephanie J. Urwin, Eric S. Yang, Jose M. Goicoechea|2021|J.Am.Chem.Soc.|143|10367|doi:10.1021/jacs.1c04417