cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14125391.v1
title: Metadata record for the manuscript: Modulation of the immune microenvironment of high-risk breast ductal carcinoma in situ by intralesional injection of pembrolizumab

description: <b>Summary</b><br> This metadata record provides details of the data supporting the claims of the related manuscript: “Modulation of the immune microenvironment of high-risk breast ductal carcinoma in situ by intralesional injection of pembrolizumab”. The primary objective of this trial described in the related study was to establish the safety and feasibility of intralesional immunotherapy in patients with DCIS. A secondary objective was to evaluate changes in the tumour immune microenvironment pre- vs. post-therapy. Exploratory objectives included an evaluation of tumour volume measured using MRI pre- versus post-pembrolizumab therapy as well as an evaluation of markers of apoptosis (cleaved caspase 3) and proliferation (Ki67), pre- versus post-therapy. Type of data: clinical data; immune infiltrates data—Excel spreadsheet format Subject of data: <i>Homo sapiens</i> Sample size: 9 Population characteristics: Patients with pathologically-confirmed breast ductal carcinoma in situ (DCIS) were eligible for enrollment if they possessed at least two of the following high-risk features: young age (&lt; 45 years), large size (&gt; 5cm), high-grade (grade II or III), a palpable mass, hormone receptor (HR) negativity, and/or HER2 positivity. Recruitment: Participants were recruited from the University of California San Francisco (UCSF) Breast Care Center when evaluated by one of the breast surgical oncologists participating in this study. Date of data collection: Patients were recruited between March 2017 and June 2018. Trial registration number: NCT02872025 <b>Data access</b> The data generated and analysed in the related studyare openly available as part of this <i>figshare </i>metadata record in the file ‘Immune Infiltrates Data.xls’. This spreadsheet contains 6 tabs labelled according to the figure of the related article that it underlies. <b>Corresponding author(s) for this study</b> Michael J. Campbell PhD, Department of Surgery, University of California- San Francisco, 2330 Sutter St, N321, San Francisco CA 94115. michael.campbell@ucsf.edu. <br> <b>Study approval </b> This study was approved by the Institutional Review Board of the University of California, San Francisco, and all patients signed written informed consent.
DOI: 10.1285/i26113775n5p83
title: Reading LEADER through processes, styles and approaches for planning
DOI: 10.1285/i26113775n5p97
title: Towards a visionary approach to LEADER?
DOI: 10.1285/i26113775n5p109
title: References
DOI: 10.1285/i26113775n5p117
title: Colophon
DOI: 10.25904/1912/4110
title: Student Data from Clinical Education at the School of Dentistry and Oral Health, Griffith University

description: Research data produced in association with PhD Thesis, 'A Prospective Evaluation of Interprofessional Team-Based Clinical Education at the School of Dentistry and Oral Health, Griffith University'. As the potential value of interprofessional education (IPE) is strongly advocated in the literature, the Griffith University School of Dentistry and Oral Health (DOH) introduced the interprofessional teams-based treatment planning (TBTP) process in 2009 to address these educational challenges and facilitate IPE. The TBTP process incorporated student practice teams and an expansion of peer learning through collaboration between students enrolled in three different oral health programs, namely dentistry, dental technology and oral health therapy. It was perceived that shared learning, understanding of complementary knowledge, collaborative participation in managing patient care, and having knowledge/respect for each professions’ role were all necessary to improve communication and teamwork skills in a pre-qualification context in readiness for collaborative oral health practice. However, a systematic evaluation of the TBTP process, its contribution to student clinical learning and experiences, and whether those experiences contributed to advancing interprofessional competencies and capabilities at DOH has not been conducted since its commencement. The thesis documents an evaluation that researched the attitudes, perceptions and experiences of students, clinical teaching staff, patients and newly graduated OHPs involved with the TBTP process at DOH between 2012 and 2015. This data informs part of that evaluation.
DOI: 10.7303/syn25613686
title: Kallionpaa et al., Dermatology 2021
DOI: 10.6084/m9.figshare.14401062
title: R script figures and analyses from Disentangling the mechanisms linking dispersal and sociality in supergene-mediated ant social forms

description: R script used for figures and analyses (also in Dryad repository)
DOI: 10.6084/m9.figshare.14401062.v2
title: R script figures and analyses from Disentangling the mechanisms linking dispersal and sociality in supergene-mediated ant social forms

description: R script used for figures and analyses (also in Dryad repository)
DOI: 10.6084/m9.figshare.14401062.v1
title: R script figures and analyses from Disentangling the mechanisms linking dispersal and sociality in supergene-mediated ant social forms

description: R script used for figures and analyses (also in Dryad repository)
DOI: 10.5281/zenodo.4642560
title: CERTH Human Activity Recognition Mobile (CHARM) Dataset

description: Collection of accelerometer and gyroscope data from 32 users through a mobile device. The following activities and repetitions were collected Sitting on a Chair - 2 Repetitions - 30 Seconds Sitting on a Couch - 2 Repetitions - 30 Seconds Standing - 2 Repetitions - 30 Seconds Lying Up - 2 Repetitions - 30 Seconds Lying by Side - 2 Repetitions - 30 Seconds Device on Surface - 2 Repetitions - 30 Seconds Walking - 2 Repetitions- 30 Seconds Running - 2 Repetitions - 30 Seconds Walking Upstairs - 6 Repetitions - 10 Seconds Walking Downstairs - 6 Repetitions - 10 Seconds
description: This work has been co-funded by the German Federal Ministry of Education and Research, the European Union and the General Secretariat of Research and Technology, Greek Ministry of Development & Investments, under the project SIT4Energy (T2EDK-0911) of the Bilateral S&T Cooperation Program Greece – Germany 2017.
DOI: 10.5281/zenodo.4642559
title: CERTH Human Activity Recognition Mobile (CHARM) Dataset

description: Collection of accelerometer and gyroscope data from 32 users through a mobile device. The following activities and repetitions were collected Sitting on a Chair - 2 Repetitions - 30 Seconds Sitting on a Couch - 2 Repetitions - 30 Seconds Standing - 2 Repetitions - 30 Seconds Lying Up - 2 Repetitions - 30 Seconds Lying by Side - 2 Repetitions - 30 Seconds Device on Surface - 2 Repetitions - 30 Seconds Walking - 2 Repetitions- 30 Seconds Running - 2 Repetitions - 30 Seconds Walking Upstairs - 6 Repetitions - 10 Seconds Walking Downstairs - 6 Repetitions - 10 Seconds
description: This work has been co-funded by the German Federal Ministry of Education and Research, the European Union and the General Secretariat of Research and Technology, Greek Ministry of Development & Investments, under the project SIT4Energy (T2EDK-0911) of the Bilateral S&T Cooperation Program Greece – Germany 2017.
DOI: 10.21227/g2fa-9y43
title: Sim3Tanks Alarm Management Dataset

description: Placeholder
DOI: 10.6084/m9.figshare.14510076
title: sustainability-1187163_data

description: Data used in paper <br>Gene Editing for Improved Animal Welfare and Production<br>Traits in Cattle: Will This Technology Be Embraced or Rejected<br>by the Public?<br>Maria Cristina Yunes, Zimbábwe Osório‐Santos, Marina A. G. von Keyserlingk and Maria José Hötzelhttps://doi.org/10.3390/su13094966<br>
DOI: 10.6084/m9.figshare.14510076.v3
title: sustainability-1187163_data

description: Data used in paper <br>Gene Editing for Improved Animal Welfare and Production<br>Traits in Cattle: Will This Technology Be Embraced or Rejected<br>by the Public?<br>Maria Cristina Yunes, Zimbábwe Osório‐Santos, Marina A. G. von Keyserlingk and Maria José Hötzelhttps://doi.org/10.3390/su13094966<br>
DOI: 10.6084/m9.figshare.14510076.v2
title: sustainability-1187163_data

description: Data used in paper <br>Gene Editing for Improved Animal Welfare and Production<br>Traits in Cattle: Will This Technology Be Embraced or Rejected<br>by the Public?<br>Maria Cristina Yunes, Zimbábwe Osório‐Santos, Marina A. G. von Keyserlingk and Maria José Hötzelhttps://doi.org/10.3390/su13094966<br>
DOI: 10.5281/zenodo.4726846
title: Dataset for Cross-Domain Propaganda Detection in Indian Social Media

description: The Citizenship Amendment Act (Bill) agitation, also known as the CAA Protest, began after the Government of India established the Citizenship Amendment Act (CAA) on December 12, 2019. These protests saw a lot of activity on news articles and social media Twitter that had propaganda. Thus, 464 news articles split sentence-wise and classified as propaganda or not, 597 tweets manually annotated considering 18 propaganda techniques were collected as a part of a domain adaptation task performed by the authors. Please refer to README.md for more details. <br>
DOI: 10.5281/zenodo.4726845
title: Dataset for Cross-Domain Propaganda Detection in Indian Social Media

description: The Citizenship Amendment Act (Bill) agitation, also known as the CAA Protest, began after the Government of India established the Citizenship Amendment Act (CAA) on December 12, 2019. These protests saw a lot of activity on news articles and social media Twitter that had propaganda. Thus, 464 news articles split sentence-wise and classified as propaganda or not, 597 tweets manually annotated considering 18 propaganda techniques were collected as a part of a domain adaptation task performed by the authors. Please refer to README.md for more details. <br>
DOI: 10.5281/zenodo.4725461
title: CCG Starter Data Kit: Sudan

description: A starter data kit for Sudan
DOI: 10.5281/zenodo.4692116
title: Meroplankton in Isfjorden 2016 to 2017 – raw data from EcoTaxa project 818

description: Raw data used to build Darwin Core dataset published Meroplankton in Isfjorden 2016 to 2017. https://doi.org/10.15468/c2m9zk The raw data is a complete export of EcoTaxa project 818, containg the metadata for 148306 objects, grouped in the following 37 clusters: ["name", "size"]<br> ["feces",44439]<br> ["fiber&lt;detritus",28193]<br> ["Copepoda",17197]<br> ["detritus",15238]<br> ["badfocus&lt;artefact",12509]<br> ["transparent",10188]<br> ["seaweed",4277]<br> ["veliger",3684]<br> ["nauplii&lt;Cirripedia",3313]<br> ["Gastropoda",1884]<br> ["nauplii&lt;Crustacea",1555]<br> ["Calanoida",1316]<br> ["multiple&lt;Copepoda",1261]<br> ["part&lt;other",814]<br> ["bubble",776]<br> ["temporary&lt;",298]<br> ["t001",226]<br> ["Chaetognatha",179]<br> ["t002",175]<br> ["Amphipoda",143]<br> ["Polychaeta",127]<br> ["egg&lt;other",115]<br> ["t003",96]<br> ["Appendicularia",86]<br> ["Echinodermata",77]<br> ["othertocheck",43]<br> ["Ostracoda",42]<br> ["Caprellidae",12]<br> ["Euphausia",11]<br> ["Asteroidea&lt;Echinodermata",8]<br> ["Hydrozoa",8]<br> ["Bryozoa",6]<br> ["zoea&lt;Decapoda",5]<br> ["t004",2]<br> ["Gymnosomata",1]<br> ["Podon",1]<br> ["Nematoda",1]
description: <strong>Warning:</strong> The event metadata in this dataset is incorrect, see the Darwin Core distribution for correct dates, positions, depths, etc. See ecotaxa-darwin-core for a command line tool that transforms EcoTaxa to Darwin Core.
DOI: 10.5281/zenodo.4692115
title: Meroplankton in Isfjorden 2016 to 2017 – raw data from EcoTaxa project 818

description: Raw data used to build Darwin Core dataset published Meroplankton in Isfjorden 2016 to 2017. https://doi.org/10.15468/c2m9zk The raw data is a complete export of EcoTaxa project 818, containg the metadata for 148306 objects, grouped in the following 37 clusters: ["name", "size"]<br> ["feces",44439]<br> ["fiber&lt;detritus",28193]<br> ["Copepoda",17197]<br> ["detritus",15238]<br> ["badfocus&lt;artefact",12509]<br> ["transparent",10188]<br> ["seaweed",4277]<br> ["veliger",3684]<br> ["nauplii&lt;Cirripedia",3313]<br> ["Gastropoda",1884]<br> ["nauplii&lt;Crustacea",1555]<br> ["Calanoida",1316]<br> ["multiple&lt;Copepoda",1261]<br> ["part&lt;other",814]<br> ["bubble",776]<br> ["temporary&lt;",298]<br> ["t001",226]<br> ["Chaetognatha",179]<br> ["t002",175]<br> ["Amphipoda",143]<br> ["Polychaeta",127]<br> ["egg&lt;other",115]<br> ["t003",96]<br> ["Appendicularia",86]<br> ["Echinodermata",77]<br> ["othertocheck",43]<br> ["Ostracoda",42]<br> ["Caprellidae",12]<br> ["Euphausia",11]<br> ["Asteroidea&lt;Echinodermata",8]<br> ["Hydrozoa",8]<br> ["Bryozoa",6]<br> ["zoea&lt;Decapoda",5]<br> ["t004",2]<br> ["Gymnosomata",1]<br> ["Podon",1]<br> ["Nematoda",1]
description: <strong>Warning:</strong> The event metadata in this dataset is incorrect, see the Darwin Core distribution for correct dates, positions, depths, etc. See ecotaxa-darwin-core for a command line tool that transforms EcoTaxa to Darwin Core.
DOI: 10.6084/m9.figshare.13084094.v1
title: Figure 6 and S11

description: Datasets and R-scripts to generate figures 6 and S11.
DOI: 10.6084/m9.figshare.13084094
title: Figures 3, 4 and 5

description: Datasets, Read-me files and R-scripts to generate figures 3, 4 and 5.
DOI: 10.6084/m9.figshare.13084094.v3
title: Figures 3, 4 and 5

description: Datasets, Read-me files and R-scripts to generate figures 3, 4 and 5.
DOI: 10.6084/m9.figshare.13084094.v2
title: Figures 3, 4 and 5

description: Datasets, Read-me files and R-scripts to generate figures 3, 4 and 5.
DOI: 10.6084/m9.figshare.13079597
title: Supplementary Figures 9, 10, 11, 12

description: Datasets, Read-me files and R-scripts to generate Supplementary Figures 9, 10, 11 and 12.
DOI: 10.6084/m9.figshare.13079597.v2
title: Supplementary Figures 9, 10, 11, 12

description: Datasets, Read-me files and R-scripts to generate Supplementary Figures 9, 10, 11 and 12.
DOI: 10.6084/m9.figshare.13079597.v1
title: Figure 4, 5, S8, S9, S10

description: Datasets and R-scripts to generate figures 4, 5, S8, S9 and S10.
DOI: 10.6084/m9.figshare.14510286.v1
title: Prostate cancer diagnosis, staging, and treatment in Sweden during the first phase of the COVID-19 pandemic

description: The first case of COVID-19 in Sweden was diagnosed in late January 2020, the first recommendations against the spread of the virus were released in mid-March, and the peak of the first wave of the pandemic was reached in March-June. The aim of this cross-sectional study was to assess the short-term effects of the first wave of the COVID-19 pandemic on prostate cancer (PCa) diagnosis, staging, and treatment. Data in the National Prostate Cancer Register (NPCR) of Sweden on newly diagnosed PCa cases and on the number of diagnostic and therapeutic procedures performed between 18 March 2020 and 2 June 2020 were compared with those in the corresponding time periods in 2017–2019, as reported until January 31 of the year after each study period. During the study period in 2020, 36% fewer PCa cases were registered in NPCR compared with the corresponding time period in previous years: 1458 cases in 2020 vs a mean of 2285 cases in 2017–2019. The decrease in new PCa registrations was more pronounced in men above age 75 years, down 51%, than in men aged 70–75, down 37%, and in men below age 70, down 28%. There was no decrease in the number of radical prostatectomies and number of radical radiotherapy courses increased by 32%. During the peak of the first phase of the COVID-19 pandemic, the number of men diagnosed with PCa in Sweden decreased by one third compared with previous years, whereas there was no decrease in the number of curative treatments.
DOI: 10.6084/m9.figshare.14510286
title: Prostate cancer diagnosis, staging, and treatment in Sweden during the first phase of the COVID-19 pandemic

description: The first case of COVID-19 in Sweden was diagnosed in late January 2020, the first recommendations against the spread of the virus were released in mid-March, and the peak of the first wave of the pandemic was reached in March-June. The aim of this cross-sectional study was to assess the short-term effects of the first wave of the COVID-19 pandemic on prostate cancer (PCa) diagnosis, staging, and treatment. Data in the National Prostate Cancer Register (NPCR) of Sweden on newly diagnosed PCa cases and on the number of diagnostic and therapeutic procedures performed between 18 March 2020 and 2 June 2020 were compared with those in the corresponding time periods in 2017–2019, as reported until January 31 of the year after each study period. During the study period in 2020, 36% fewer PCa cases were registered in NPCR compared with the corresponding time period in previous years: 1458 cases in 2020 vs a mean of 2285 cases in 2017–2019. The decrease in new PCa registrations was more pronounced in men above age 75 years, down 51%, than in men aged 70–75, down 37%, and in men below age 70, down 28%. There was no decrease in the number of radical prostatectomies and number of radical radiotherapy courses increased by 32%. During the peak of the first phase of the COVID-19 pandemic, the number of men diagnosed with PCa in Sweden decreased by one third compared with previous years, whereas there was no decrease in the number of curative treatments.
DOI: 10.6084/m9.figshare.14510293
title: Additional file of Data on the effects of fertilization on growth rates, biomass allocation, carbohydrates and nutrients of nitrogen-fixing and non-nitrogen-fixing tree legumes during tropical forest restoration

description: Additional file of Data on the effects of fertilization on growth rates, biomass allocation, carbohydrates and nutrients of nitrogen-fixing and non-nitrogen-fixing tree legumes during tropical forest restoration
DOI: 10.6084/m9.figshare.14510293.v1
title: Additional file of Data on the effects of fertilization on growth rates, biomass allocation, carbohydrates and nutrients of nitrogen-fixing and non-nitrogen-fixing tree legumes during tropical forest restoration

description: Additional file of Data on the effects of fertilization on growth rates, biomass allocation, carbohydrates and nutrients of nitrogen-fixing and non-nitrogen-fixing tree legumes during tropical forest restoration
DOI: 10.6084/m9.figshare.14510296
title: Additional file 1 of Correction to: Aging progression of human gut microbiota

description: Additional file 1: Supplementary Table 1. Significant genera from PERMANOVA analysis
DOI: 10.6084/m9.figshare.14510299
title: Additional file 2 of Correction to: Aging progression of human gut microbiota

description: Additional file 2: Supplementary Table 2. Genera correlated with aging with Spearman correlation
DOI: 10.6084/m9.figshare.14510302
title: Additional file 3 of Correction to: Aging progression of human gut microbiota

description: Additional file 3: Supplementary Table 3. Critical genera revealed by SPD
DOI: 10.6084/m9.figshare.14510299.v1
title: Additional file 2 of Correction to: Aging progression of human gut microbiota

description: Additional file 2: Supplementary Table 2. Genera correlated with aging with Spearman correlation
DOI: 10.6084/m9.figshare.14510302.v1
title: Additional file 3 of Correction to: Aging progression of human gut microbiota

description: Additional file 3: Supplementary Table 3. Critical genera revealed by SPD
DOI: 10.6084/m9.figshare.14510308
title: Additional file 10 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 10: Table S7 Numbers of genes with B73 and Mo17 positively acting cis regulatory alleles using gene expression TPM and FPKM metrics from STAR-StringTie analyses with the default parameters revealed read mapping preferences for reference alleles.
DOI: 10.6084/m9.figshare.14510311
title: Additional file 11 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 11: codeProtocols.txt.
DOI: 10.6084/m9.figshare.14510311.v1
title: Additional file 11 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 11: codeProtocols.txt.
DOI: 10.6084/m9.figshare.14510314
title: Additional file of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias
DOI: 10.6084/m9.figshare.14510308.v1
title: Additional file 10 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 10: Table S7 Numbers of genes with B73 and Mo17 positively acting cis regulatory alleles using gene expression TPM and FPKM metrics from STAR-StringTie analyses with the default parameters revealed read mapping preferences for reference alleles.
DOI: 10.6084/m9.figshare.14510314.v1
title: Additional file of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias
DOI: 10.6084/m9.figshare.14510326
title: Additional file 4 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 4: Table S1 The chromosomal locations of and parental allele contributions to genes coexpressed across RILs.
DOI: 10.6084/m9.figshare.14510326.v1
title: Additional file 4 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 4: Table S1 The chromosomal locations of and parental allele contributions to genes coexpressed across RILs.
DOI: 10.6084/m9.figshare.14510329
title: Additional file 5 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 5: Table S2 Genetic and physical map locations of physically and genetically linked coexpressed genes.
DOI: 10.6084/m9.figshare.14510332
title: Additional file 6 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 6: Table S3 A comparison of the numbers of cis-eQTL genes detected with the default alignment data and cis-eQTL genes detected with relaxed and most relaxed alignment data.
DOI: 10.6084/m9.figshare.14510332.v1
title: Additional file 6 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 6: Table S3 A comparison of the numbers of cis-eQTL genes detected with the default alignment data and cis-eQTL genes detected with relaxed and most relaxed alignment data.
DOI: 10.6084/m9.figshare.14510335
title: Additional file 7 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 7: Table S4 The chromosomal locations and parental allele contributions to genes coexpressed across RILs from TopHat2-Cufflinks analyses with the default parameters.
DOI: 10.6084/m9.figshare.14510335.v1
title: Additional file 7 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 7: Table S4 The chromosomal locations and parental allele contributions to genes coexpressed across RILs from TopHat2-Cufflinks analyses with the default parameters.
DOI: 10.6084/m9.figshare.14510338
title: Additional file 8 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 8: Table S5 Genetic and physical map locations of physically and genetically linked coexpressed genes from a TopHat2-Cufflinks analysis with the default parameters.
DOI: 10.6084/m9.figshare.14510338.v1
title: Additional file 8 of Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

description: Additional file 8: Table S5 Genetic and physical map locations of physically and genetically linked coexpressed genes from a TopHat2-Cufflinks analysis with the default parameters.