cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26180/23632326.v1
title: A Phase 2 Randomised Controlled Trial of Sodium Selenate as a Disease Modifying Treatment for Chronic Drug-resistant Temporal Lobe Epilepsy - The SeLECT Study

description: Sodium selenate, 15mg three times a day, 26 weeks, oral tablet. Participants will be required to return unused tablets to site each visit to monitor compliance with dosing regimen.
DOI: 10.25934/pr00009072
title: AMR Data Challenge: CAP Pathogen AMR Patterns in LMICs 

description: Dear Vivli Antimicrobial Surveillance Open Data Re-use Data Challenge Organizers,

We, a dynamic group of three researchers, are thrilled to submit our expression of interest for the Vivli Antimicrobial Surveillance Open Data Re-use Data Challenge. As passionate advocates for advancing antimicrobial resistance research, we have chosen a topic that aligns with our shared interests and expertise. Our team comprises two fifth-year medical students, Irshaad Hoosain and Moses Malebana, who are also Honours graduates in medical science, along with Dr. Imraan Majiet, a medical doctor with a particular focus on public health research.

Our chosen topic revolves around investigating early trends in the emergence of S.pneumonia   and H. influenza’s resistance to various antibiotics in low- and middle-income countries (LMICs). In addition, we will compare the burden of resistance to high-income countries to identify if there is a disproportionate burden of antimicrobial resistance between the two. These associations may be used to generate various hypotheses and guide research aimed at  investigating the factors driving the resistance patterns to allow for early interventions. 

To accomplish our research objectives, we would require comprehensive datasets encompassing various elements. Particularly, we will need access to data on minimum inhibitory concentrations (MICs) of isolates for a range of antibiotics, including beta-lactams, cephalosporins, fluoroquinolones, macrolides, tetracyclines, and carbapenems. This information will guide our case definition for antimicrobial resistance which will be defined in consultation with the literature and experts in the field. Secondly, we will require the geographical source of the isolates to accurately classify each isolate into LMIC or high income countries. Once the information is accessed and processed, various analytic tools include supervised machine learning (ML) techniques, Excel, etc to determine the trends and any further patterns in the distribution of AMR across the LMIC and high income countries. The distributions and patterns of resistance will encourage early and targeted research efforts and interventions as aforementioned, therefore having far-reaching implications in public health and AMR surveillance. Furthermore, early intervention will also result in prevention of treatment refractory pneumonia and thereby yielding positive outcomes for the patients.

In conclusion, we are excited about the opportunity to participate in the Vivli Antimicrobial Surveillance Open Data Re-use Data Challenge and explore the chosen topic that we are deeply passionate about. With our diverse backgrounds and collective expertise in medical science, public health, and data science, we are confident in our ability to generate valuable insights and contribute to the advancement of antimicrobial resistance research.

Thank you for considering our expression of interest.

Sincerely,
Irshaad Hoosain, Moses Malebana, and Dr. Imraan Majiet
Affiliations: University of Cape Town, Paarl Hospital.
DOI: 10.6084/m9.figshare.23007362
title: Fatigue database of complex metallic alloys

description: The past few decades have witnessed rapid progresses in the research and development of complex metallic alloys such as metallic glasses and multi-principal element alloys, which offer new solutions to tackle engineering problems of materials such as the strength-toughness conflict and deployment in harsh environments and/or for long-term service. A fatigue database (FatigueData-CMA2022) is compiled from the literature by the end of 2022. Data for both metallic glasses and multi-principal element alloys are included and analyzed for their statistics and patterns. Automatic extraction and manual examination are combined in the workflow to improve the efficiency of processing, the quality of published data, and the reusability. The database contains 272 fatigue datasets of <em>S</em>-<em>N</em> (the stress-life relation), <em>ε</em>-<em>N</em> (the strain-life relation), and d<em>a</em>/d<em>N</em>-Δ<em>K</em> (the relation between the fatigue crack growth rate and the stress intensity factor range) data, together with the information of materials, processing and testing conditions, and mechanical properties. The database and scripts are released in open repositories, which are designed in formats that can be continuously expanded and updated. <br> Article DOI: 10.1038/s41597-023-02354-1
DOI: 10.6084/m9.figshare.23632350
title: Untitled Item

description: <strong>Ganoderma lucidum triterpenes restore intestinal flora balance in non-hepatitis B virus-related hepatocellular carcinoma: evidence of 16S rRNA sequencing and network pharmacology analysis</strong>
DOI: 10.6084/m9.figshare.23632350.v1
title: Untitled Item

description: <strong>Ganoderma lucidum triterpenes restore intestinal flora balance in non-hepatitis B virus-related hepatocellular carcinoma: evidence of 16S rRNA sequencing and network pharmacology analysis</strong>
DOI: 10.25625/2jetoa/bxxcgm
title: 2022-09-2JETOA_ANDESITE_BASALTIC_part2.csv

description: :unav
DOI: 10.25625/2jetoa/j1jrc8
title: 2022-09-2JETOA_RHYOLITE_part3.csv

description: :unav
DOI: 10.25625/2jetoa/3vuiha
title: 2022-09-2JETOA_TRACHYPHONOLITE.csv

description: :unav
DOI: 10.25625/2jetoa/smjm9w
title: 2022-09-2JETOA_MUGEARITE.csv

description: :unav
DOI: 10.25625/2jetoa/zvk3gw
title: 2022-09-2JETOA_DUNITE.csv

description: :unav
DOI: 10.25625/2jetoa/cs5g1j
title: 2022-09-2JETOA_GRANITE_part2.csv

description: :unav
DOI: 10.25625/2jetoa/5smdb7
title: 2022-09-2JETOA_BASANITE.csv

description: :unav
DOI: 10.25625/2jetoa/6nuhy3
title: 2022-09-2JETOA_LEUCITITE.csv

description: :unav
DOI: 10.25625/2jetoa/hpj42b
title: 2022-09-2JETOA_NEPHELINITE.csv

description: :unav
DOI: 10.25625/2jetoa/4avyt2
title: 2022-09-2JETOA_CARBONATITE.csv

description: :unav
DOI: 10.25625/2jetoa/zuuiz4
title: 2022-09-2JETOA_KOMATIITE.csv

description: :unav
DOI: 10.25625/2jetoa/xltqkq
title: 2022-09-2JETOA_KIMBERLITE.csv

description: :unav
DOI: 10.25625/2jetoa/ychbpl
title: 2022-09-2JETOA_DOLERITE.csv

description: :unav
DOI: 10.25625/2jetoa/krqcvd
title: 2022-09-2JETOA_TRACHYBASANITE.csv

description: :unav
DOI: 10.25625/2jetoa/isftzs
title: 2022-09-2JETOA_GABBRO.csv

description: :unav
DOI: 10.25625/2jetoa/vyebmo
title: 2022-09-2JETOA_PICRITE.csv

description: :unav
DOI: 10.25625/2jetoa/badyw8
title: 2022-09-2JETOA_OCEANITE.csv

description: :unav
DOI: 10.25625/2jetoa/ojjdpp
title: 2022-09-2JETOA_BENMOREITE.csv

description: :unav
DOI: 10.25625/2jetoa/tnx8tz
title: 2022-09-2JETOA_THOLEIITE_part1.csv

description: :unav
DOI: 10.25625/2jetoa/3gvott
title: 2022-09-2JETOA_ANDESITE_part1.csv

description: :unav
DOI: 10.25625/2jetoa/6z9dow
title: 2022-09-2JETOA_THOLEIITE_part2.csv

description: :unav
DOI: 10.25625/2jetoa/hhleyu
title: 2022-09-2JETOA_BASALT_part1.csv

description: :unav
DOI: 10.25625/2jetoa/q2mqd9
title: 2022-09-2JETOA_BASALT_part3.csv

description: :unav
DOI: 10.25625/2jetoa/iiwpu2
title: 2022-09-2JETOA_ANDESITE_part4.csv

description: :unav
DOI: 10.25625/2jetoa/yphjbf
title: 2022-09-2JETOA_PHOSCORITE.csv

description: :unav
DOI: 10.25625/2jetoa/4cgcxj
title: 2022-09-2JETOA_PERIDOTITE.csv

description: :unav
DOI: 10.25625/2jetoa/qn945v
title: 2022-09-2JETOA_HAWAIITE.csv

description: :unav
DOI: 10.25625/2jetoa/7eujjd
title: 2022-09-2JETOA_ANDESITE_part3.csv

description: :unav
DOI: 10.25625/2jetoa/ofew1v
title: 2022-09-2JETOA_DACITE_part1.csv

description: :unav
DOI: 10.25625/2jetoa/4rtwnr
title: 2022-09-2JETOA_WEHRLITE.csv

description: :unav
DOI: 10.25625/2jetoa/yfevxe
title: 2022-09-2JETOA_BONINITE.csv

description: :unav
DOI: 10.25625/2jetoa/rl6q4c
title: 2022-09-2JETOA_BASALT_part4.csv

description: :unav
DOI: 10.25625/2jetoa/2irbgl
title: 2022-09-2JETOA_LHERZOLITE.csv

description: :unav
DOI: 10.25625/2jetoa/z4agdo
title: 2022-09-2JETOA_TRACHYBASALT.csv

description: :unav
DOI: 10.25625/2jetoa/izbvwc
title: 2022-09-2JETOA_MELILITITE.csv

description: :unav
DOI: 10.25625/2jetoa/rq9hhh
title: 2022-09-2JETOA_LATITE.csv

description: :unav
DOI: 10.25625/2jetoa/tuliou
title: 2022-09-2JETOA_DIABASE.csv

description: :unav
DOI: 10.25625/2jetoa/cktjib
title: 2022-09-2JETOA_BASALT_part2.csv

description: :unav
DOI: 10.25625/2jetoa/exsypm
title: 2022-09-2JETOA_ORTHOPYROXENITE.csv

description: :unav
DOI: 10.25625/2jetoa/59lu8m
title: 2022-09-2JETOA_ANDESITE_part5.csv

description: :unav
DOI: 10.25625/2jetoa/yp0jow
title: 2022-09-2JETOA_DIORITE.csv

description: :unav
DOI: 10.25625/2jetoa/wh7q9r
title: 2022-09-2JETOA_ANKARAMITE.csv

description: :unav
DOI: 10.25625/2jetoa/4dcaas
title: 2022-09-2JETOA_TONALITE.csv

description: :unav
DOI: 10.25625/2jetoa/y4dfgd
title: 2022-09-2JETOA_PHONOTEPHRITE.csv

description: :unav
DOI: 10.25625/2jetoa/avhock
title: 2022-09-2JETOA_LAMPROITE.csv

description: :unav
DOI: 10.25625/2jetoa/ralrnb
title: 2022-09-2JETOA_GRANODIORITE.csv

description: :unav
DOI: 10.25625/2jetoa/qnegc0
title: 2022-09-2JETOA_PHONOLITE.csv

description: :unav
DOI: 10.25625/2jetoa/znirq5
title: 2022-09-2JETOA_BASALT_part5.csv

description: :unav
DOI: 10.25625/2jetoa/8sugfe
title: 2022-09-2JETOA_PANTELLERITE.csv

description: :unav
DOI: 10.25625/2jetoa/e5wman
title: 2022-09-2JETOA_GRANITE_part1.csv

description: :unav
DOI: 10.6084/m9.figshare.21086272
title: Suppl Tables.pdf

description: AP-1 manuscript to AJP-Renal
DOI: 10.6084/m9.figshare.21086272.v1
title: Suppl Tables.pdf

description: AP-1 manuscript to AJP-Renal
DOI: 10.15151/esrf-es-894833122
title: Proteins and protein/DNA/RNA complexes involved in biosynthesis, protein folding and degradation, splicing, cancer, host pathogen interacti

description: Pathogenesis and immune responses are very complex, multi-component processes. Understanding the molecular mechanisms underlying these processes is essential for their regulation and the development of new therapies. Our Life Sciences Block Allocation Group (BAG) for synchrotron research at the ESRF includes groups from Georg-August University of Göttingen (Germany), Helmholtz Centre for Infection Research Structural Biology, Braunschweig (Germany), Rudolf Virchow Center for Biomedical Research, Würzburg (Germany), University of Bielefeld (Germany), Hannover Medical School (Germany) and University of the Western Cape, Cape Town (South Africa). The research of our BAG is focused on the structural, mechanistic, and functional studies of a broad range of medically relevant biological systems, with an aim to develop new therapies in the areas of emerging infections, antimicrobial resistance, chronic inflammatory conditions, and oncogenesis.
DOI: 10.23728/b2share.04821864a81f40af89c7633889f147cb
title: Imputed ozone dataset

description: 'imputed_o3.csv' contains ozone measurements at 278 stations in Germany of the UBA network in 2011. The unit is ppb. Gaps in the data were imputed with the software available at https://gitlab.jsc.fz-juelich.de/esde/machine-learning/ozone-imputation. 'imputed_info.csv' is of the same format. It contains True if a value is imputed and False if it is not (i.e. if it is a measurement). Both .csv files contain the TOAR id of the station as column names and the local datetime as an index.
DOI: 10.5281/zenodo.7073677
title: UrbanOccupationsOETR_hdr_Nicaea_6k_dataset

description: UrbanOccupationsOETR_hdr_Nicaea_6k is the first historical Arabic handwritten digit dataset. It is curated from the first series of Ottoman population registers conducted in the mid-nineteenth century. The dataset was controlled manually and cleaned. It has more than 6000 digits. Five thousand images are divided into the training folder, and the remaining 1000 images are divided into the test folder. Please cite the below paper in your publications if you use the dataset: Can, Yekta S., and M. Erdem Kabadayı. “Curation of Historical Arabic Handwritten Digit Datasets from Ottoman Population Registers: A Deep Transfer Learning Case Study.” In <em>2020 IEEE International Conference on Big Data (Big Data)</em>, 1853–60, 2020. https://doi.org/10.1109/BigData50022.2020.9378445.
DOI: 10.5281/zenodo.7073676
title: UrbanOccupationsOETR_hdr_Nicaea_6k_dataset

description: UrbanOccupationsOETR_hdr_Nicaea_6k is the first historical Arabic handwritten digit dataset. It is curated from the first series of Ottoman population registers conducted in the mid-nineteenth century. The dataset was controlled manually and cleaned. It has more than 6000 digits. Five thousand images are divided into the training folder, and the remaining 1000 images are divided into the test folder. Please cite the below paper in your publications if you use the dataset: Can, Yekta S., and M. Erdem Kabadayı. “Curation of Historical Arabic Handwritten Digit Datasets from Ottoman Population Registers: A Deep Transfer Learning Case Study.” In <em>2020 IEEE International Conference on Big Data (Big Data)</em>, 1853–60, 2020. https://doi.org/10.1109/BigData50022.2020.9378445.
DOI: 10.7910/dvn/zvsnqz
title: Replication Data for: Consent and legitimacy. A revised bellicose theory of state building with evidence from around the world, 1500-2000

description: This is a data set for replicating the tables in Yuval Feinstein and Andreas Wimmer's article "Consent and legitimacy. A revised bellicose theory of state building with evidence from around the world, 1500-2000" (2023, World Politics).
DOI: 10.5517/ccdc.csd.cc2bg421
title: CCDC 2158532: Experimental Crystal Structure Determination

description: Related Article: Keita Tanaka, Martin-Louis Y. Riu, Brian Valladares, Christopher C. Cummins|2022|Inorg.Chem.|61|13662|doi:10.1021/acs.inorgchem.2c01844
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.cc2bg432
title: CCDC 2158533: Experimental Crystal Structure Determination

description: Related Article: Keita Tanaka, Martin-Louis Y. Riu, Brian Valladares, Christopher C. Cummins|2022|Inorg.Chem.|61|13662|doi:10.1021/acs.inorgchem.2c01844
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.cc2bg4dc
title: CCDC 2158542: Experimental Crystal Structure Determination

description: Related Article: Keita Tanaka, Martin-Louis Y. Riu, Brian Valladares, Christopher C. Cummins|2022|Inorg.Chem.|61|13662|doi:10.1021/acs.inorgchem.2c01844
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.cc2bg4gf
title: CCDC 2158544: Experimental Crystal Structure Determination

description: Related Article: Keita Tanaka, Martin-Louis Y. Riu, Brian Valladares, Christopher C. Cummins|2022|Inorg.Chem.|61|13662|doi:10.1021/acs.inorgchem.2c01844
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.cc2bg4hg
title: CCDC 2158545: Experimental Crystal Structure Determination

description: Related Article: Keita Tanaka, Martin-Louis Y. Riu, Brian Valladares, Christopher C. Cummins|2022|Inorg.Chem.|61|13662|doi:10.1021/acs.inorgchem.2c01844
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.cc2bgl1g
title: CCDC 2158965: Experimental Crystal Structure Determination

description: Related Article: Keita Tanaka, Martin-Louis Y. Riu, Brian Valladares, Christopher C. Cummins|2022|Inorg.Chem.|61|13662|doi:10.1021/acs.inorgchem.2c01844
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.cc2bh3dc
title: CCDC 2159472: Experimental Crystal Structure Determination

description: Related Article: Keita Tanaka, Martin-Louis Y. Riu, Brian Valladares, Christopher C. Cummins|2022|Inorg.Chem.|61|13662|doi:10.1021/acs.inorgchem.2c01844
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.cc2bg443
title: CCDC 2158534: Experimental Crystal Structure Determination

description: Related Article: Keita Tanaka, Martin-Louis Y. Riu, Brian Valladares, Christopher C. Cummins|2022|Inorg.Chem.|61|13662|doi:10.1021/acs.inorgchem.2c01844
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.cc2bgqdy
title: CCDC 2159100: Experimental Crystal Structure Determination

description: Related Article: Keita Tanaka, Martin-Louis Y. Riu, Brian Valladares, Christopher C. Cummins|2022|Inorg.Chem.|61|13662|doi:10.1021/acs.inorgchem.2c01844
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.cc2bg4fd
title: CCDC 2158543: Experimental Crystal Structure Determination

description: Related Article: Keita Tanaka, Martin-Louis Y. Riu, Brian Valladares, Christopher C. Cummins|2022|Inorg.Chem.|61|13662|doi:10.1021/acs.inorgchem.2c01844
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.19550398.v1
title: Zannone_Fluids_Sup.Mat

description: Supplementary material of submitted paper. This file includes methods, tables, and figures.
DOI: 10.25440/smu.16731769
title: Data from: Estimating stranded coal assets in China's power sector

description: This is the supplementary data for the article "Estimating stranded coal assets in China's power sector" published in Utilities Policy. <br> China has suffered overcapacity in coal power since 2016. With growing electricity demand and an economic crisis due to the Covid-19 pandemic, China faces a dilemma between easing restrictive policies for short-term growth in coal-fired power production and keeping restrictions in place for long-term sustainability. In this paper, we measure the risks faced by China's coal power units to become stranded in the next decade and estimate the associated economic costs for different shareholders. By implementing restrictive policies on coal power expansion, China can avoid 90% of stranded coal assets by 2025.
DOI: 10.25440/smu.16731769.v1
title: Data from: Estimating stranded coal assets in China's power sector

description: This is the supplementary data for the article "Estimating stranded coal assets in China's power sector" published in Utilities Policy. <br> China has suffered overcapacity in coal power since 2016. With growing electricity demand and an economic crisis due to the Covid-19 pandemic, China faces a dilemma between easing restrictive policies for short-term growth in coal-fired power production and keeping restrictions in place for long-term sustainability. In this paper, we measure the risks faced by China's coal power units to become stranded in the next decade and estimate the associated economic costs for different shareholders. By implementing restrictive policies on coal power expansion, China can avoid 90% of stranded coal assets by 2025.
DOI: 10.5281/zenodo.7072932
title: TRUSTONOMY - Pilot 4 (Survey) Dataset

description: This data set contains the responses of 806 participants who took part in an online survey coordinated by the University of Leeds for the Trustonomy project. The aim of the survey was to elicit trust in L2/3 automation in various types of road scenarios. Respondents were asked to respond to eleven scenarios, with regards how likely it would be they would divert their visual attention from the road ahead, and remove their hands and feet from the vehicle controls, whilst the car was in automation mode.
description: The columns have headers to provide further information on scoring.
DOI: 10.5281/zenodo.7072931
title: TRUSTONOMY - Pilot 4 (Survey) Dataset

description: This data set contains the responses of 806 participants who took part in an online survey coordinated by the University of Leeds for the Trustonomy project. The aim of the survey was to elicit trust in L2/3 automation in various types of road scenarios. Respondents were asked to respond to eleven scenarios, with regards how likely it would be they would divert their visual attention from the road ahead, and remove their hands and feet from the vehicle controls, whilst the car was in automation mode.
description: The columns have headers to provide further information on scoring.
DOI: 10.6084/m9.figshare.21087098
title: Additional file 1 of Effect of age and sex on prescriptions for outpatients with bipolar disorder in the MUSUBI study: a cross‑sectional study

description: Additional file 1: Table S1 Adjusted standardized residuals of mood stabilizers, antipsychotics, antidepressants and benzodiazepine receptor agonists divided by age.
DOI: 10.6084/m9.figshare.21087098.v1
title: Additional file 1 of Effect of age and sex on prescriptions for outpatients with bipolar disorder in the MUSUBI study: a cross‑sectional study

description: Additional file 1: Table S1 Adjusted standardized residuals of mood stabilizers, antipsychotics, antidepressants and benzodiazepine receptor agonists divided by age.