cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4916249
title: Juniper (Juniperus communis) planting conducted in the UK wider environment 1960-2020

description: Dataset analysed and presented in "<em>Investigating the Role of Restoration Plantings in Introducing Disease–a Case Study Using </em><br> Phytophthora" Forests<em> <strong>2021</strong>, 12</em>. The data are provided with kind permission from all of the contributing organisations identified in the "source" column; "BSBI" is an abbreviation for the Botanical Society of Britian and Ireland and full references to published data surveys are given in the above jounral article. The data are provided to support open access research but care should be taken in their further interpretation as a secondary source with known gaps in both coverage and supporting metadata. See the "source" column to identify the primary source material. This dataset compiles known records of <em>Juniperus communis</em> planting in the United Kingdown conducted 1960-2020 in the wider environment i.e. not relating to gardens, parks, or intermediate locations such as shelterbelts. Locations are provided at "tetrad" (2x2km) resolution with the year of planting / record observation provided in the "year.to" column. Where a range of dates were provided in the source material, the most recent year was retained as "year.to". Records were only added to this dataset if the grid reference was supplied at minimum tetrad resolution with a planting/observation year, and only records with duplicated recorder name, tetrad, year and comments fields were removed. Therefore, the same planting events may be documented by multiple records if supplied by multiple recorders/sources and/or with different "year.to" or other metadata. Information in the remaining columns was compiled from the comments field supplied with BSBI records or information supplied in supporting emails or survey reports, categorised according to the keywords outlined in the journal article. Data categorisation was performed by F. Donald and is provided in this dataset (i.e. the data supplied here are not the original records provided by the source). Where provided, details in the following categories describe: "Number" - number of juniper trees planted per tetrad/year "Responsible organisation" - type of organisation overseeing the planting project "Reason" - motivation for planting "Source material" - planting material provenance "Material type" - type of material propagated "Propagation setting" - propagation location masked to facility type "Monitoring" - comments about any follow up monitoring conducted
DOI: 10.6084/m9.figshare.14754093
title: Supplementary Material for: Characteristics and Healthcare Costs in the Aging Hepatitis B Population of Japan: A Nationwide Real-World Analysis

description: <b><i>Introduction:</i></b> Advancing age, comorbidity, and financial burden have been observed in chronic hepatitis B (CHB) patients globally. As Japan is leading the world in aging demographics, similar real-world data are urgently needed for its CHB population to inform all stakeholders. <b><i>Methods:</i></b> This cross-sectional study characterized the demographics, comorbidities, and healthcare costs of a large Japanese real-world adult (≥18 years) CHB patient (ICD-10: B18.1) population from the Medical Data Vision database from January 01, 2012, to December 31, 2016. Comorbidities were identified by ICD-10 codes, and the annual point prevalence and Charlson Comorbidity Index (CCI) score were calculated. Annual mean and median all-cause healthcare utilization and costs per patient were calculated. Comparison tests were conducted for CCI scores, prevalence of comorbidities, and healthcare resource utilization and costs. <b><i>Results:</i></b> We identified 11,125 CHB patients. Between 2012 and 2016, the mean age increased from 62.0 to 65.2 years, and the percentage of those aged ≥65 years increased from 45.6% to 60.7%. The prevalence of cirrhosis remained similar (5.8% in 2012 and 5.6% in 2016, <i>p</i> = 0.69) while hepatocellular carcinoma decreased from 6.3% to 4.5% (<i>p</i> &lt; 0.01). The prevalence of nonliver comorbidities increased (40.9–52.0% for cancer [<i>p</i> &lt; 0.01], 12.1–17.7% for osteoporosis [<i>p</i> &lt; 0.01], and 10.7–15.0% for renal impairment [<i>p</i> &lt; 0.01]). Healthcare resource utilization and costs also increased, with a 119.3% increase in median total healthcare costs from JPY 229,143 in 2012 to 502,467 in 2016 (<i>p</i> &lt; 0.01). <b><i>Conclusions:</i></b> The CHB population of Japan is predominantly elderly and carry a high nonliver comorbidity burden, while incurring increasing healthcare costs.
DOI: 10.5281/zenodo.4916212
title: Deployable TOSCA YAML v1.3 templates for xOpera orchestration tool.

description: This dataset contains working examples of blueprints (TOSCA templates and their implementations) for the xOpera orchestrator <code>opera</code>. Their aim is to help authors of OASIS TOSCA service templates get started with OASIS YAML Simple Profile v1.3 and the use of Ansible automation for implementing TOSCA interfaces.
DOI: 10.5281/zenodo.4916211
title: Deployable TOSCA YAML v1.3 templates for xOpera orchestration tool.

description: This dataset contains working examples of blueprints (TOSCA templates and their implementations) for the xOpera orchestrator <code>opera</code>. Their aim is to help authors of OASIS TOSCA service templates get started with OASIS YAML Simple Profile v1.3 and the use of Ansible automation for implementing TOSCA interfaces.
DOI: 10.6084/m9.figshare.14753802
title: Supplementary Material for: Endoscopic Restoration of a Dehiscent Pancreatojejunostomy after Pancreatoduodenectomy

description: Medicine
DOI: 10.6084/m9.figshare.14753802.v1
title: Supplementary Material for: Endoscopic Restoration of a Dehiscent Pancreatojejunostomy after Pancreatoduodenectomy

description: Medicine
DOI: 10.5281/zenodo.4916304
title: Smell Detection of Technology-agnostic Infrastructure Code Using Unsupervised Learning

description: This dataset contains information for the evaluation of the Large Class code smell in TOSCA. - tosca_repositories.csv contains the collected TOSCA repositories. - tosca_blueprints.csv contains raw urls to the latest release of the blueprints of every repository, to Jun 4th. - metrics.csv TOSCA metrics for each of the blueprints in the file above. - clusters.csv contains the instances and their label (smelly or sound) according to clustering-based code smell detection. The code for replicating the model is available/ at https://github.com/jade-lab/tosca-smells. <br>
DOI: 10.5281/zenodo.4916272
title: Domestic space heating dynamic costs under different technologies and energy tariffs: Case study in Spain (dataset)

description: The data in this dataset is derived from the study published in https://doi.org/10.1016/j.egyr.2020.11.112 . Data shows hourly heating costs for covering the heating demand of an average dwelling in Madrid (Spain) during 2018-2019 heating season (from 01/10/18 to 31/03/19) through different technologies. A conventional gas boiler and an air-to-air heat pump were selected; additionally, three different electric tariffs were selected: dTOU, RTP and a static tariff. One file is provided as a xlsx file with the following hourly features: Date Hour Tout: Outdoor temperature in ºC RTP: Real Time Price electric tariff in € dTOU: Dynamic Time of Use electric tariff in € E.Flat: Static electric tariff in € Gas: Natural gas tariff in € Demand: Dwellings heating demand in kWh COPR32a: Instant COP of R32 working fluid Con.Elec: Electric consumption of the heat pump in kWh ConGas: Gas boiler consumption in kWh €.elec_RTR: Cost of the electric consumption under the RTP tariff in € €.elec_Flat: Cost of the electric consumption under the static tariff in € €.elec_dTOU: Cost of the electric consumption under the dTOU tariff in € €.gas: Cost of the natural gas consumption in €
DOI: 10.5281/zenodo.4916271
title: Domestic space heating dynamic costs under different technologies and energy tariffs: Case study in Spain (dataset)

description: The data in this dataset is derived from the study published in https://doi.org/10.1016/j.egyr.2020.11.112 . Data shows hourly heating costs for covering the heating demand of an average dwelling in Madrid (Spain) during 2018-2019 heating season (from 01/10/18 to 31/03/19) through different technologies. A conventional gas boiler and an air-to-air heat pump were selected; additionally, three different electric tariffs were selected: dTOU, RTP and a static tariff. One file is provided as a xlsx file with the following hourly features: Date Hour Tout: Outdoor temperature in ºC RTP: Real Time Price electric tariff in € dTOU: Dynamic Time of Use electric tariff in € E.Flat: Static electric tariff in € Gas: Natural gas tariff in € Demand: Dwellings heating demand in kWh COPR32a: Instant COP of R32 working fluid Con.Elec: Electric consumption of the heat pump in kWh ConGas: Gas boiler consumption in kWh €.elec_RTR: Cost of the electric consumption under the RTP tariff in € €.elec_Flat: Cost of the electric consumption under the static tariff in € €.elec_dTOU: Cost of the electric consumption under the dTOU tariff in € €.gas: Cost of the natural gas consumption in €
DOI: 10.5281/zenodo.4913158
title: Social Influence Maximization in Hypergraphs - Data set

description: Real-world hypergraph data set used in the article Social Influence Maximization in Hypergraphs, currently submitted to the journal Entropy. <strong>HGF format description. </strong>The first line of each file consists of two integers, n and k, representing the number of vertices and the number of edges of the hypergraph H. The following k rows describe the actual structure of H: each line represents a hyperedge and contains a list of all vertex-weight pairs within that hyperedge. The hypergraphs have been built based on the following data sets: - Austin R. Benson Research Data sets. https://www.cs.cornell.edu/~arb/data/. - Chouder, M.L.; Rizzi, S.; Chalal, R. JSON Datasets for Exploratory OLAP. Mendeley Data, 2017, Vol. V1. doi:10.17632/ct8f9skv97.1. - Jeffrey, L. Game of Thrones Datasets and Visualizations. https://github.com/jeffreylancaster/game-of-thrones, 2019.
DOI: 10.5281/zenodo.4913157
title: Social Influence Maximization in Hypergraphs - Data set

description: Real-world hypergraph data set used in the article Social Influence Maximization in Hypergraphs, currently submitted to the journal Entropy. <strong>HGF format description. </strong>The first line of each file consists of two integers, n and k, representing the number of vertices and the number of edges of the hypergraph H. The following k rows describe the actual structure of H: each line represents a hyperedge and contains a list of all vertex-weight pairs within that hyperedge. The hypergraphs have been built based on the following data sets: - Austin R. Benson Research Data sets. https://www.cs.cornell.edu/~arb/data/. - Chouder, M.L.; Rizzi, S.; Chalal, R. JSON Datasets for Exploratory OLAP. Mendeley Data, 2017, Vol. V1. doi:10.17632/ct8f9skv97.1. - Jeffrey, L. Game of Thrones Datasets and Visualizations. https://github.com/jeffreylancaster/game-of-thrones, 2019.
DOI: 10.6084/m9.figshare.14710401
title: Asking sensitive questions in conservation using Randomised Response Techniques

description: Conservation increasingly seeks knowledge of human behaviour. However, securing reliable data can be challenging, particularly if the behaviour is illegal or otherwise sensitive. Specialised questioning methods such as Randomised Response Techniques (RRTs) are increasingly used in conservation to provide greater anonymity, increase response rates, and reduce bias. A rich RRT literature exists, but successfully navigating it can be challenging. To help conservationists access this literature, we summarise the various RRT designs available and conduct a systematic review of empirical applications of RRTs within (n=32), and beyond conservation (n=66). Our results show increased application of RRTs in conservation since 2000. We compare the performance of RRTs against known prevalence of the sensitive behaviour and relative to other questioning techniques to assess how successful RRTs are at reducing bias (indicated by securing higher estimates). Findings suggest that RRT applications in conservation were less likely than those in other disciplines to provide prevalence estimates equal to, or higher than those derived from direct questions. Across all disciplines, we found reports of non-compliance with RRT instructions were common, but rarely accounted for in study design or analysis. For the first time, we provide conservationists considering RRTs with evidence on what works, and provide guidance on how to develop robust designs suitable for conservation research contexts. We highlight when alternate methods should be used, how to increase design efficiency and improve compliance with RRT instructions. We conclude RRTs are a useful tool, but their performance depends on careful design and implementation. <br>This dataset contains all the information extracted from each article as part of the systematic review. The spreadsheet contains two datasets, and two code sheets. One dataset reflects data extracted at the article level, the other reflects data extracted for each study included in the articles (e.g. some articles used RRT in two separate studies, or used 1+ RRT design).
DOI: 10.5517/ccdc.csd.cc241cbx
title: CCDC 1967518: Experimental Crystal Structure Determination

description: Related Article: Shan Chen, Zhenyu Li, Binbin Yuan, Lifang Lin, Myung-Hwan Whangbo, Li Xu|2020|Inorg.Chem.|59|10628|doi:10.1021/acs.inorgchem.0c01074
DOI: 10.5517/ccdc.csd.cc279mkr
title: CCDC 2064834: Experimental Crystal Structure Determination

description: Related Article: Kseniya Maryunina, Gleb Letyagin, Artem Bogomyakov, Vitaly Morozov, Sergey Tumanov, Sergey Veber, Matvey Fedin, Evgeniya Saverina, Mikhail Syroeshkin, Mikhail Egorov, Galina Romanenko, Victor Ovcharenko|2021|RSC Advances|11|19902|doi:10.1039/D1RA02159A
DOI: 10.6084/m9.figshare.14452854
title: Metadata record for the article: A subset of lung cancer cases shows robust signs of homologous recombination deficiency associated genomic mutational signatures

description: <b>Summary</b><br> This metadata record provides details of the data supporting the claims of the related article: “A subset of lung cancer cases shows robust signs of homologous recombination deficiency associated genomic mutational signatures”. The related study analysed all available whole genome sequencing data from the TCGA lung adenocarcinoma (LUAD) and squamous lung cancer (LUSC) cohorts and determined which of a list of mutational signatures were present in these cases, analysing whole genome and whole exome data to estimate the frequency of potentially homologous recombination (HR) deficient lung cancer cases. Type of data: single nucleotide variation; binary alignment maps Subject of data: Eukaryotic cell lines; <i>Homo sapiens</i> Population characteristics: lung cancer cases Recruitment: Cancer cell lines were sourced from Cancer Cell Line Encyclopedia, Genomics of Drug Sensitivity in Cancer data portal. The exceptional responder was identified as part of a larger ongoing study to understand the determinants of treatment response to platinum based therapy. <b>Data access</b> The results shown here are in part based upon data generated by the TCGA Research Network: https://www.cancer.gov/tcga, and the LUAD and LUSC data are available at ICGC (https://dcc.icgc.org/) and GDC (https://portal.gdc.cancer.gov/) data portals. A comprehensive list of the file names underlying the figures and supplementary materials of the related article, along with direct links to the data in the above sources, is provided in the file ‘Diossy_et_al_2021_underlying_data_list.xlsx’, which is included with this data record. Sample single nucleotide variation analysis of a stage IVA lung squamous carcinoma case with a durable (&gt; 20 months), symptom-free survival in response to platinum-based treatment (H75T) has been deposited in the <i>European Variation Archive</i> under accession https://identifiers.org/ebi/bioproject:PRJEB45238. <b>Corresponding author(s) for this study</b> Zoltan Szallasi, Computational Health Informatics Program (CHIP) Boston Children’s Hospital, Harvard Medical School, 300 Longwood Ave., Boston Massachusetts, USA, 02215, e-mail: Zoltan.szallasi@childrens.harvard.edu, +1-617-355-2179. <br> <b>Study approval </b> The Hungarian Scientific and Research Ethics Committee of the Medical Research Council, No 2285-1/2019/EUIG és 2307-3/2020/EUIG has approved the study.
DOI: 10.6084/m9.figshare.14452854.v1
title: Metadata record for the article: A subset of lung cancer cases shows robust signs of homologous recombination deficiency associated genomic mutational signatures

description: <b>Summary</b><br> This metadata record provides details of the data supporting the claims of the related article: “A subset of lung cancer cases shows robust signs of homologous recombination deficiency associated genomic mutational signatures”. The related study analysed all available whole genome sequencing data from the TCGA lung adenocarcinoma (LUAD) and squamous lung cancer (LUSC) cohorts and determined which of a list of mutational signatures were present in these cases, analysing whole genome and whole exome data to estimate the frequency of potentially homologous recombination (HR) deficient lung cancer cases. Type of data: single nucleotide variation; binary alignment maps Subject of data: Eukaryotic cell lines; <i>Homo sapiens</i> Population characteristics: lung cancer cases Recruitment: Cancer cell lines were sourced from Cancer Cell Line Encyclopedia, Genomics of Drug Sensitivity in Cancer data portal. The exceptional responder was identified as part of a larger ongoing study to understand the determinants of treatment response to platinum based therapy. <b>Data access</b> The results shown here are in part based upon data generated by the TCGA Research Network: https://www.cancer.gov/tcga, and the LUAD and LUSC data are available at ICGC (https://dcc.icgc.org/) and GDC (https://portal.gdc.cancer.gov/) data portals. A comprehensive list of the file names underlying the figures and supplementary materials of the related article, along with direct links to the data in the above sources, is provided in the file ‘Diossy_et_al_2021_underlying_data_list.xlsx’, which is included with this data record. Sample single nucleotide variation analysis of a stage IVA lung squamous carcinoma case with a durable (&gt; 20 months), symptom-free survival in response to platinum-based treatment (H75T) has been deposited in the <i>European Variation Archive</i> under accession https://identifiers.org/ebi/bioproject:PRJEB45238. <b>Corresponding author(s) for this study</b> Zoltan Szallasi, Computational Health Informatics Program (CHIP) Boston Children’s Hospital, Harvard Medical School, 300 Longwood Ave., Boston Massachusetts, USA, 02215, e-mail: Zoltan.szallasi@childrens.harvard.edu, +1-617-355-2179. <br> <b>Study approval </b> The Hungarian Scientific and Research Ethics Committee of the Medical Research Council, No 2285-1/2019/EUIG és 2307-3/2020/EUIG has approved the study.
DOI: 10.25345/c5w53f
title: MassIVE MSV000087592 - Low temperature prog various compounds
title: Gas chromatography electron ionization mass spectrometry analysis of various compounds for library search
DOI: 10.6084/m9.figshare.14575734
title: Metadata record for the article: Spatial distribution of B cells and lymphocyte clusters as a predictor of triple negative breast cancer outcome

description: <b>Summary</b><br> This metadata record provides details of the data supporting the claims of the related article: “Spatial distribution of B cells and lymphocyte clusters as a predictor of triple negative breast cancer outcome”. The related study hypothesised that spatial distribution rather than density of B cells within tumours may provide prognostic significance, then developed statistical techniques (fractal dimension differences and a box counting method ‘occupancy’) to analyse the spatial distribution of tumour-infiltrating lymphocytes (TILs) in human triple negative breast cancer (TNBC). Type of data: positions (x-y coordinates) of different types of cells that were stained different colours in images Subject of data: <i>Homo sapiens</i> Sample size: 36 Recruitment: De-identified tissue samples were obtained from the CoH Biospecimen Repository. Samples from patients diagnosed with triple negative breast cancer and treated at COH from January 1, 1994 to March 4, 2015 were retrieved. <b>Data access</b> All data are contained in the R Data file ‘PatientPointPatterns.rds’, which is openly available with this data record. The file contains a list of 36 marked point patterns in ppp format, usable by the R package "spatstat". Each pattern corresponds to a single patient. Relevant marks include "Tissue.Category" (marks points as belonging to cancer islands or stroma) and "Phenotype" (marks points as cancer, stromal, or immune cells). X and Y coordinates have units of microns. <b>Corresponding author(s) for this study</b> Clare C. Yu, Department of Physics and Astronomy, University of California, Irvine, Irvine, CA 92697 cyu@uci.edu Peter P. Lee, Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center and Beckman Research Institute, 1500 East Duarte Road, Duarte, CA 91010. plee@coh.org <br> <b>Study approval </b> Specimens were identified through an IRB-approved protocol via the City of Hope (COH) Biospecimen Repository which is funded in part by the National Cancer Institute.
DOI: 10.6084/m9.figshare.14575734.v1
title: Metadata record for the article: Spatial distribution of B cells and lymphocyte clusters as a predictor of triple negative breast cancer outcome

description: <b>Summary</b><br> This metadata record provides details of the data supporting the claims of the related article: “Spatial distribution of B cells and lymphocyte clusters as a predictor of triple negative breast cancer outcome”. The related study hypothesised that spatial distribution rather than density of B cells within tumours may provide prognostic significance, then developed statistical techniques (fractal dimension differences and a box counting method ‘occupancy’) to analyse the spatial distribution of tumour-infiltrating lymphocytes (TILs) in human triple negative breast cancer (TNBC). Type of data: positions (x-y coordinates) of different types of cells that were stained different colours in images Subject of data: <i>Homo sapiens</i> Sample size: 36 Recruitment: De-identified tissue samples were obtained from the CoH Biospecimen Repository. Samples from patients diagnosed with triple negative breast cancer and treated at COH from January 1, 1994 to March 4, 2015 were retrieved. <b>Data access</b> All data are contained in the R Data file ‘PatientPointPatterns.rds’, which is openly available with this data record. The file contains a list of 36 marked point patterns in ppp format, usable by the R package "spatstat". Each pattern corresponds to a single patient. Relevant marks include "Tissue.Category" (marks points as belonging to cancer islands or stroma) and "Phenotype" (marks points as cancer, stromal, or immune cells). X and Y coordinates have units of microns. <b>Corresponding author(s) for this study</b> Clare C. Yu, Department of Physics and Astronomy, University of California, Irvine, Irvine, CA 92697 cyu@uci.edu Peter P. Lee, Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center and Beckman Research Institute, 1500 East Duarte Road, Duarte, CA 91010. plee@coh.org <br> <b>Study approval </b> Specimens were identified through an IRB-approved protocol via the City of Hope (COH) Biospecimen Repository which is funded in part by the National Cancer Institute.