cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7707302
title: Data and GrADS scripts for "Changes in March mean snow water equivalent since the mid-twentieth century and the contributing factors in reanalyses and CMIP6 climate models", submitted to The Cryosphere

description: Data and GrADS (Grid Analysis and Display System) scripts for reproducing the figures and numerical results included in the manuscript "Changes in March mean snow water equivalent since the mid-twentieth century and the contributing factors in reanalyses and CMIP6 climate models". Revised for The Cryosphere in March 2023. In addition to the README file, there are two zipped archives: swe_trends.zip (2.3 GB) includes both the data (mostly as GrADS binaries), the GrADS data descriptor files and the scripts. swe_trends_no_data.zip (74 kB) includes just the scripts and the data descriptor files. Please see the README file for further details on the content and use of the archives.
DOI: 10.5281/zenodo.7421619
title: Data and GrADS scripts for "Changes in March mean snow water equivalent since the mid-twentieth century and the contributing factors in reanalyses and CMIP6 climate models", submitted to The Cryosphere

description: Data and GrADS (Grid Analysis and Display System) scripts for reproducing the figures and numerical results included in the manuscript "Changes in March mean snow water equivalent since the mid-twentieth century and the contributing factors in reanalyses and CMIP6 climate models". Revised for The Cryosphere in March 2023. In addition to the README file, there are two zipped archives: swe_trends.zip (2.3 GB) includes both the data (mostly as GrADS binaries), the GrADS data descriptor files and the scripts. swe_trends_no_data.zip (74 kB) includes just the scripts and the data descriptor files. Please see the README file for further details on the content and use of the archives.
DOI: 10.6084/m9.figshare.7667741
title: Chapter 3

description: Figures S1-9 and Tables S1-3<br>
DOI: 10.6084/m9.figshare.7667732
title: Chapter 2

description: Tables S1-6<br>
DOI: 10.6084/m9.figshare.7667717
title: Chapter 1

description: Figure S1 and Tables S1-5<br>
DOI: 10.6084/m9.figshare.21988403.v1
title: Bangkok_100M_Network_Edges

description: File containing road network in Bangkok.
DOI: 10.6084/m9.figshare.22231336
title: Supplementary Material for: Population-Attributable Risk Fractions for Antiplatelets and Anticoagulants in Spontaneous Intracranial Hemorrhages

description: <b><i>Introduction:</i></b> Concerns about spontaneous intracranial hemorrhages (sICHs) have increased over time with the increasing use of antithrombotic agents. Hence, we aimed to analyze the risk and risk fractions for antithrombotics in sICHs in South Korea. <b><i>Methods:</i></b> From the National Health Insurance Service-National Sample Cohort including 1,108,369 citizens, 4,385 cases, aged 20 years or more and newly diagnosed as sICHs between 2003 and 2015, were included in this study. A total of 65,775 sICH-free controls were randomly selected at a ratio of 1:15 from individuals with the same birth year and sex according to a nested case-control study design. <b><i>Results:</i></b> Although the incidence rate of sICHs started to decrease from 2007 onward, the use of antiplatelets, anticoagulants, and statins continued to increase. Antiplatelets (adjusted odds ratio [OR] 3.59, 95% confidence interval [CI] 3.18–4.05), anticoagulants (adjusted OR 7.46, 95% CI 4.92–11.32), and statins (adjusted OR 1.98, 95% CI 1.79–2.18) were significant risk factors for sICHs even after adjusting for hypertension, alcohol intake, and cigarette smoking. From 2003–2008 to 2009–2015, the population-attributable fractions changed from 28.0% to 31.3% for hypertension, from 2.0% to 3.2% for antiplatelets, and from 0.5% to 0.9% for anticoagulants. <b><i>Conclusion:</i></b> Antithrombotic agents are significant risk factors for sICHs, and their contribution is increasing over time in Korea. These findings are expected to draw the attention of clinicians to precautions to be taken when prescribing antithrombotic agents.
DOI: 10.5517/ccdc.csd.cc2dznvx
title: CCDC 2234010: Experimental Crystal Structure Determination

description: Related Article: Fang-Fang Liu, Di Wang, Guang-Hui Chen, Jian Zhang, Lei Zhang|2023|J.Solid State Chem.|321|123918|doi:10.1016/j.jssc.2023.123918
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.cc2dznwy
title: CCDC 2234011: Experimental Crystal Structure Determination

description: Related Article: Fang-Fang Liu, Di Wang, Guang-Hui Chen, Jian Zhang, Lei Zhang|2023|J.Solid State Chem.|321|123918|doi:10.1016/j.jssc.2023.123918
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.cc2f0kdf
title: CCDC 2234864: Experimental Crystal Structure Determination

description: Related Article: Aymeric Dajnak, Limiao Shi, Gül Altınbaş Özpınar, Romaric Lenk, Nathalie Saffon-Merceron, Antoine Baceiredo, Tsuyoshi Kato, Thomas Müller, Eddy Maerten|2023|Dalton Trans.|52|3052|doi:10.1039/D3DT00168G
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.cc2c98qp
title: CCDC 2183662: Experimental Crystal Structure Determination

description: Related Article: Jun Li, Ming-Hui Liu, Hong-Yao Shen, Meng-Zhen Liu, Jin-Ting Wu, Bo Zhang|2023|Dalton Trans.|52|2999|doi:10.1039/D2DT03998B
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.cc2drqxt
title: CCDC 2227347: Experimental Crystal Structure Determination

description: Related Article: Taiki Imagawa, Luisa Giarrana, Diego M. Andrada, Bernd Morgenstern, Masaaki Nakamoto, David Scheschkewitz|2023|J.Am.Chem.Soc.|145|4757|doi:10.1021/jacs.2c13530
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.cc2f2msy
title: CCDC 2236860: Experimental Crystal Structure Determination

description: Related Article: Stanzin Chuskit, Tapaswini Sethi, Priyasha Harsha, Dinabandhu Das|2023|Cryst.Growth Des.|23|1336|doi:10.1021/acs.cgd.3c00079
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.cc2f2mtz
title: CCDC 2236861: Experimental Crystal Structure Determination

description: Related Article: Stanzin Chuskit, Tapaswini Sethi, Priyasha Harsha, Dinabandhu Das|2023|Cryst.Growth Des.|23|1336|doi:10.1021/acs.cgd.3c00079
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.cc2f2mv0
title: CCDC 2236862: Experimental Crystal Structure Determination

description: Related Article: Stanzin Chuskit, Tapaswini Sethi, Priyasha Harsha, Dinabandhu Das|2023|Cryst.Growth Des.|23|1336|doi:10.1021/acs.cgd.3c00079
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.cc2f2mw1
title: CCDC 2236863: Experimental Crystal Structure Determination

description: Related Article: Stanzin Chuskit, Tapaswini Sethi, Priyasha Harsha, Dinabandhu Das|2023|Cryst.Growth Des.|23|1336|doi:10.1021/acs.cgd.3c00079
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.cc2f2mx2
title: CCDC 2236864: Experimental Crystal Structure Determination

description: Related Article: Stanzin Chuskit, Tapaswini Sethi, Priyasha Harsha, Dinabandhu Das|2023|Cryst.Growth Des.|23|1336|doi:10.1021/acs.cgd.3c00079
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.cc2f2my3
title: CCDC 2236865: Experimental Crystal Structure Determination

description: Related Article: Stanzin Chuskit, Tapaswini Sethi, Priyasha Harsha, Dinabandhu Das|2023|Cryst.Growth Des.|23|1336|doi:10.1021/acs.cgd.3c00079
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.cc2dbpzf
title: CCDC 2214825: Experimental Crystal Structure Determination

description: Related Article: Katsuya Mutoh, Natsuho Moriyama, Jiro Abe|2023|Chem.Commun.|59|2962|doi:10.1039/D2CC06942C
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.cc2f347y
title: CCDC 2237339: Experimental Crystal Structure Determination

description: Related Article: Isabel Abánades Lázaro, Eleni C. Mazarakioti, Eduardo Andres-Garcia, Bruno J. C. Vieira, João C. Waerenborgh, Iñigo J. Vitórica-Yrezábal, Mónica Giménez-Marqués, Guillermo Mínguez Espallargas|2023|J.Mater.Chem.A|11|5320|doi:10.1039/D2TA08934C
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.cc2f348z
title: CCDC 2237340: Experimental Crystal Structure Determination

description: Related Article: Isabel Abánades Lázaro, Eleni C. Mazarakioti, Eduardo Andres-Garcia, Bruno J. C. Vieira, João C. Waerenborgh, Iñigo J. Vitórica-Yrezábal, Mónica Giménez-Marqués, Guillermo Mínguez Espallargas|2023|J.Mater.Chem.A|11|5320|doi:10.1039/D2TA08934C
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.cc2f3k7c
title: CCDC 2237742: Experimental Crystal Structure Determination

description: Related Article: Anil Balajirao Dapkekar, Gedu Satyanarayana|2023|Chem.Commun.|59|2915|doi:10.1039/D2CC06819B
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.cc2f3kbg
title: CCDC 2237745: Experimental Crystal Structure Determination

description: Related Article: Gábor Berecz, András Dancsó, Mária Tóthné Lauritz, Gyula Simig, Balázs Volk|2023|Tetrahedron|134|133300|doi:10.1016/j.tet.2023.133300
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.cc2dhg4j
title: CCDC 2219387: Experimental Crystal Structure Determination

description: Related Article: Jing Xu, Qi Wang, Wei-Wei Ge, Dong Wu, Carl Redshaw, Kai Chen|2023|CrystEngComm|25|1529|doi:10.1039/D2CE01568D
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.cc2dhg5k
title: CCDC 2219388: Experimental Crystal Structure Determination

description: Related Article: Jing Xu, Qi Wang, Wei-Wei Ge, Dong Wu, Carl Redshaw, Kai Chen|2023|CrystEngComm|25|1529|doi:10.1039/D2CE01568D
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: 10.6084/m9.figshare.22230280
title: Analysis of MicroRNAs in Apis cerana larvae in Response to Chinese Sacbrood Virus (CSBV) Infection

description: In order to study the changes of MicroRNAs(miRNA) expression profile in <em>Apis cerana</em> larvae infected with CSBV, the function of differential miRNAs (DEmiRNAs) in <em>Apis cerana</em> larvae responding to CSBV was investigated. In this study, Illumina high-throughput sequencing of <em>Apis cerana</em> larvae in infected CSBV 24h and 48h,analyzed DEmiRNAs and its target genes by bioinformatics software, and performed GO functional annotation and KEGG pathway enrichment analysis. The sequencing results were validated by RT-qPCR.
DOI: 10.6084/m9.figshare.22230280.v1
title: Analysis of MicroRNAs in Apis cerana larvae in Response to Chinese Sacbrood Virus (CSBV) Infection

description: In order to study the changes of MicroRNAs(miRNA) expression profile in <em>Apis cerana</em> larvae infected with CSBV, the function of differential miRNAs (DEmiRNAs) in <em>Apis cerana</em> larvae responding to CSBV was investigated. In this study, Illumina high-throughput sequencing of <em>Apis cerana</em> larvae in infected CSBV 24h and 48h,analyzed DEmiRNAs and its target genes by bioinformatics software, and performed GO functional annotation and KEGG pathway enrichment analysis. The sequencing results were validated by RT-qPCR.
DOI: 10.26186/147556
title: Severe Wind Hazard Assessment for South East Queensland - local wind hazard data

description: The wind hazard climate in South East Queensland is a combination of tropical cyclones, thunderstorms and synoptic storms. This dataset provides estimated average recurrence interval (ARI) or annual exceedance probability (AEP) wind speeds over the region, based on an evaluation of observational (thunderstorms and synoptic winds) and simulated data (tropical cyclones). <br>The tropical cyclone wind hazard was evaluated using Geoscience Australia's Tropical Cyclone Risk Model (TCRM), which provides a spatial representation of the AEP wind speeds arising from tropical cyclones. Thunderstorm wind hazard was evaluated from analysis of observed wind gusts across South East Queensland, aggregated into a single 'superstation' to provide a single representative hazard profile for the region.<br>The resulting combined wind hazard estimates reflect the dominant source of wind hazard in South East Queensland for the most frequent events (exceedance probabilities greater than 1:50) is thunderstorm-generated wind gusts. For rarer events, with exceedance probabilities less than 1:200, TC are the dominant source of extreme gusts. <br>Local effects of topography, land cover and the built environment were incorporated via site exposure multipliers (Arthur & Moghaddam, 2021), which are based on the site exposure multipliers defined in AS/NZS 1170.2 (2021).<br>The local wind hazard maps were used to evaluate the financial risk to residential separate houses in South East Queensland.<br>Wind speeds are provided for average recurrence intervals ranging from 1 year to 10,000 years. No confidence intervals are provided in the data.
DOI: 10.6084/m9.figshare.21502296
title: USA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for the United States. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into 130 equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 4 November 2022.
DOI: 10.6084/m9.figshare.21502296.v2
title: USA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for the United States. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into 130 equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 4 November 2022.
DOI: 10.5281/zenodo.7707335
title: Genomically predicted theoretical protein mass database for mass spectrometry (GPMsDB) evaluation datasets

description: These are datasets obtained for the evaluation of GPMsDB (genomically predicted protein mass database) and its toolkits (GPMsDB-tk/GPMsDB-dbtk). The following datasets are deposited. The genome sequences of the strains newly sequenced and added using GPMsDB-dbtk (genomes_added.zip) MALDI-TOF-MS peak lists obtained from reference bacterial and archaeal strains (MALDI_peaklists.zip) 16S rRNA gene sequences of the faecal isolates (mice_isolates_16S_nanopore.zip) Metagenome-assembled genomes from mouse faeces (mice_MAGs.zip)
DOI: 10.6084/m9.figshare.21966764.v1
title: Supplementary Material for: Impact of the national action plan for antimicrobial resistance on antibiotic use for mastitis using a Japanese nationwide database

description: Introduction: Mastitis is the inflammation of the mammary gland that mainly occurs during the lactation period and requires antibiotic treatment with little evidence for its efficacy. We investigated the effect of National Action Plan for antimicrobial resistance aiming for appropriate antimicrobial stewardship on broad-spectrum antibiotics administration for mastitis despite the lack of a disease-specific antimicrobial agents manual. Methods: Using a large nationwide database, an interrupted time-series analysis was performed using data from 34,340 female patients who received antibiotics for mastitis between April 2012 and March 2020. This study compared the trend of outcomes before and after the publication date of the National Action Plan (April 2016). The outcomes were the proportion of broad-spectrum and first-choice narrow-spectrum antibiotic administration and surgical drainage within 30 days after the administration. Results: Broad-spectrum antibiotics were administered in 70% of the cases before and 67% of the cases after the National Action Plan publication date. The trend of broad-spectrum antibiotics administration significantly changed at the publication (-2,6% [95% confidence interval, -3.9% to -1.3%], P&lt;0.001) and the administration decreased after the publication (1.9% annual decrease, Ptrend&lt;0.001). The trend of first-choice antibiotics administration also changed at the publication (1.3% [0.1% to 2.4%], P=0.028) and the administration increased after the publication (1.3% annual increase, Ptrend&lt;0.001). The occurrence of surgical drainage was stable during the study period. Conclusion: Despite the lack of a disease-specific antimicrobial manual, the publication of the National Action Plan improved antimicrobial stewardship for mastitis without any impact on a surgical treatment course.