cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1285/i24212113v9i2p84
title: A phenomenological study on the experiences of parents of substance users from resource-constrained contexts in the Western Cape, South Africa

description: Adolescent substance use continues to remain a significant problem, especially in low-income communities in South Africa. This phenomenon not only affects individuals and society, but also the parents of the user. Parents within low-income contexts may feel disregarded or 'unseen' in planning and service delivery initiatives, which may lead to a lack of appropriate knowledge and resources when confronted with a child who uses substances. The situation may also be amplified by challenges within resource-constrained environments. The aim of this paper is to explore the subjective experiences of parents of substance users and their access to available treatment resources in low-income settings. The study, embedded in the Conservation of Resources (COR) theory, employed a phenomenological research design. Eight semi-structured interviews were conducted with parents/guardians of substance users from various resource-constrained communities in the Western Cape, South Africa. Using an interpretative phenomenological analysis technique, major themes emerging from the analysis included: 1) the experiences and perceptions of a parent with a child who uses substances, and 2) access to treatment: "just make it easy". Study findings highlight the multifaceted nature of this journey and how the experience of gaining access to treatment resources may facilitate or hinder coping, particularly in low-income contexts, which may aid in addressing structural barriers that prevent access to resources and ultimately, increase support structures that are rich in quality and accessible across various socio-economic contexts.
DOI: 10.57906/vs5v-hw04
title: Census 2011 Household - Scotland
DOI: 10.1285/i24212113v9i2p105
title: The intergenerational memory of a cultural heritage as a means of promoting citizens' sense of community

description: Adolescent substance use continues to remain a significant problem, especially in low-income communities in South Africa. This phenomenon not only affects individuals and society, but also the parents of the user. Parents within low-income contexts may feel disregarded or 'unseen' in planning and service delivery initiatives, which may lead to a lack of appropriate knowledge and resources when confronted with a child who uses substances. The situation may also be amplified by challenges within resource-constrained environments. The aim of this paper is to explore the subjective experiences of parents of substance users and their access to available treatment resources in low-income settings. The study, embedded in the Conservation of Resources (COR) theory, employed a phenomenological research design. Eight semi-structured interviews were conducted with parents/guardians of substance users from various resource-constrained communities in the Western Cape, South Africa. Using an interpretative phenomenological analysis technique, major themes emerging from the analysis included: 1) the experiences and perceptions of a parent with a child who uses substances, and 2) access to treatment: "just make it easy". Study findings highlight the multifaceted nature of this journey and how the experience of gaining access to treatment resources may facilitate or hinder coping, particularly in low-income contexts, which may aid in addressing structural barriers that prevent access to resources and ultimately, increase support structures that are rich in quality and accessible across various socio-economic contexts.
DOI: 10.1285/i24212113v9i2p125
title: Critical community psychology: The perceptions of UK undergraduate psychology students

description: Psychology undergraduates represent the future workforce of the applied psychology professions. As such, this study explores UK psychology undergraduates' views of critical community psychology and its relevance to applied psychology related to well-being and mental health as they understand it. In this mixed methods study, 239 participants rated 43 statements about critical community psychology. Participants also provided their qualitative views on: i. the statements, ii. on critical community psychology generally, and iii. on its relationship to well-being and mental health. Quantitatively, each of the four factors (i. Reflective practice, ii. Acknowledging and understanding, iii. Core socio-political ideas, and iv. Radical socio-political ideas), were significantly and positively related to each other. On average, all four factors were seen as relevant to the future of applied psychology related to well-being and mental health by participants. However, significant differences were found between the factors, some with medium and large effect sizes. Qualitatively, many provided a general positive endorsement of the relevance of critical community psychology and of broader systemic factors influencing applied work. Participants asked for more information on this area to be provided both within their degree and for the general public. Other comments suggested both: applied work should include both micro and macro elements, and that applied work should remain focused on the individual. Finally, a smaller number of comments suggested that the statements were not relevant to: i. individual mental health, ii. to psychology, and even iii. not relevant as ideas. The discussion brings together the quantitative and qualitative data relating it back to the literature. It highlights the wider challenges of bringing critical community psychology to bear on applied psychology work in the UK, beyond reflective practice.
DOI: 10.57906/zgr3-jp79
title: Census 2011 Individual - Northern Ireland
DOI: 10.5281/zenodo.8359888
title: Chickpea RNASeq dataset

description: Chickpea dataset with metadata
DOI: 10.5281/zenodo.8359887
title: Chickpea RNASeq dataset

description: Chickpea dataset with metadata
DOI: 10.5281/zenodo.8359964
title: Data used in article "Self-calibration of UAV Thermal Imagery Using Gradient Descent"

description: This repository contains data allowing for reproduction of research described in article "Self-calibration of UAV Thermal Imagery Using Gradient Descent". Each zip archive available in repository contains: Thermal images produced using Zenmuse H20T camera (rjpg directory) Geojson vector shape of river centerline (centerline.json file) Configuration file used by Python implementation available at https://github.com/radekszostak/aerial-thermal-tuner (config.py file)
DOI: 10.5281/zenodo.8359963
title: Data used in article "Self-calibration of UAV Thermal Imagery Using Gradient Descent"

description: This repository contains data allowing for reproduction of research described in article "Self-calibration of UAV Thermal Imagery Using Gradient Descent". Each zip archive available in repository contains: Thermal images produced using Zenmuse H20T camera (rjpg directory) Geojson vector shape of river centerline (centerline.json file) Configuration file used by Python implementation available at https://github.com/radekszostak/aerial-thermal-tuner (config.py file)
DOI: 10.6084/m9.figshare.11973693.v20
title: Solar wind in situ data for creating catalogs and statistics of interplanetary coronal mass ejections and high speed streams (Solar Orbiter, Parker Solar Probe, STEREO-A/B, MAVEN, Wind, MESSENGER, VEX, Ulysses) 1995-2023

description: These are solar wind in situ data arrays in python pickle format suitable for creating catalogs, plots and movies of interplanetary coronal mass ejections (ICME). They are used to calculate parameters in this ICME catalog:https://helioforecast.space/icmecat<br><br>If you use these data for peer reviewed scientific publications, please get in touch via chris.moestl@outlook.com or twitter @chrisoutofspace concerning usage and possible co-authorship.Made with https://github.com/cmoestl/heliocats
DOI: 10.57906/fhhc-0m57
title: Census 2011 Individual - Scotland
DOI: 10.15454/5ejkas/vzqlqt
title: oc_5_7_gut.fna.tar.gz

description: Gene catalogue (nucleotide sequences)
DOI: 10.15454/5ejkas/4eevq2
title: oc_5_7_gut.faa.tar.gz

description: Gene catalogue (amino acid sequences)
DOI: 10.15454/5ejkas/59wavf
title: microreset_down104M_vs_oc_5_7_gut_trim80_id95_raw_smart_shared_reads_20220326.cov.tsv.xz

description: Gene abundance (coverage) table after rarefaction at 52M read pairs
DOI: 10.15454/5ejkas/693vj9
title: oc_5_7_gut.ResFinder.tab

description: Antimicrobial resistance genes identified with ResFinder 4.1
DOI: 10.15454/5ejkas/70jeue
title: oc_5_7_gut.pcm.tab

description: Antimicrobial resistance genes identified with the Pairwise Comparative Modelling method
DOI: 10.15454/5ejkas/80ttc5
title: microreset_mags_phylogeny.tar.gz

description: Phylogeny of Metagenome-Assembled Genomes (MAGs) with iTOL annotation files
DOI: 10.15454/5ejkas/rhjvh1
title: microreset_mags.tar.xz

description: Metagenome-assembled genomes (MAGs) sequences and associated metadata (n=2323)
DOI: 10.57745/dnnvzz
title: oc_5_7_gut.1053_msps.20220325.tar.xz

description: MetaGenomic Species (MGS) definition (i.e. gene content) and taxonomic annotation based on GTDB r214
DOI: 10.57745/mlxfwh
title: oc_5_7_gut.kegg_107.kofamscan.tsv.xz

description: Functional annotation of the gene catalog with the KEGG 107 database (KO assignments)
DOI: 10.57745/wdqxnq
title: oc_5_7_gut.1053_msps.20220325.tar.xz

description: MetaGenomic Species (MGS) definition (i.e. gene content) and taxonomic annotation based on GTDB r207
DOI: 10.57906/agrj-1k37
title: Census 2011 Origin / Destination - England and Wales
DOI: 10.3886/icpsr38009.v1
title: National Survey of Family Growth (NSFG), United States, 2011-2019
title: Version 1

description: This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the National Survey of Family Growth (NSFG) website) directly for details on obtaining the data. The National Survey of Family Growth (NSFG) gathers information on pregnancy and births, marriage and cohabitation, infertility, use of contraception, family life, and general and reproductive health. The survey sample is designed to produce national data, not estimates for individual states. Beginning in 1973, NSFG was designed to be nationally representative of ever-married women 15-44 years of age in the civilian, non-institutionalized population of the United States (household population). Later sample changes to NSFG include: Interviewing women aged 15-44 regardless of marital experience (1982) Interviewing an independent sample of men aged 15-44 (2002) Expanding the age range for women and men to 15-49 (2015) Grandparent-Parent-Adult Child triplets: ~1,400 For the 2011-2019 continuous interviewing period, four sets of 2-year public-use data files were released: 2011-2013 NSFG: 10,416 respondents aged 15-44 (5,601 women and 4,815 men) 2013-2015 NSFG: 10,205 respondents aged 15-44 (5,699 women and 4,506 men) 2015-2017 NSFG: 10,094 respondents aged 15-49 (5,554 women and 4,540 men) 2017-2019 NSFG: 11,347 respondents aged 15-49 (6,141 women and 5,206 men) Public-use data files and related documentation, including questionnaires, codebooks, and design and operations reports, can be found for each release on the NSFG Questionnaires, Datasets, and Related Documentation page.
description: A national probability sample of women and men aged 15-44 living in households in the United States. Beginning in September 2015, the NSFG age range expanded from 15-44 to 15-49. Teenagers aged 15-19, Non-Hispanic black persons of all ages, and Hispanic persons of all ages were oversampled.
description: Datasets: DS0: Study-Level Files DS1: 2011-2013 Female Respondent DS2: 2011-2013 Female Pregnancy DS3: 2011-2013 Male Respondent DS4: 2013-2015 Female Respondent DS5: 2013-2015 Female Pregnancy DS6: 2013-2015 Male Respondent DS7: 2015-2017 Female Respondent DS8: 2015-2017 Female Pregnancy DS9: 2015-2017 Male Respondent DS10: 2017-2019 Female Respondent DS11: 2017-2019 Female Pregnancy DS12: 2017-2019 Male Respondent
description: The civilian noninstitutionalized population of women and men 15-44 years of age in the United States, whose usual place of residence is the 50 United States and the District of Columbia. Beginning in September 2015, the NSFG age range expanded from 15-44 to 15-49.
description: audio computer-assisted self interview (ACASI); computer-assisted personal interview (CAPI)The data for this collection are available through the National Survey of Family Growth (NSFG) website.
DOI: 10.3886/icpsr38336.v1
title: Harvard/Johnson/ICR Poll #2000-6672: Illegal Drugs and End of Life Survey, United States, 2000
title: Version 1

description: This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Poll #2000-6672: Illegal Drugs and End of Life Survey, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include: Illegal drug use Terminally ill patients The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092244]. Frequencies and summary statistics for the 69 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.
description: The study dataset contains weight factors that should be employed in any data analysis. Typically weights are used in an attempt to assure that the survey sample more accurately represents the population. The weight variable in this study is WEIGHTS.
description: The sample includes 1,012 national adults.
description: Datasets: DS1: Harvard/Johnson/ICR Poll #2000-6672: Illegal Drugs and End of Life Survey, United States, 2000
description: National adult. Smallest Geographic Unit: State
description: telephone interviewPlease visit the Roper Center for Public Opinion Research website for more information on Poll # 2000-6672: Illegal Drugs and End of Life Survey.
DOI: 10.3886/icpsr38336
title: Harvard/Johnson/ICR Poll #2000-6672: Illegal Drugs and End of Life Survey, United States, 2000
title: Archival Version

description: This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Poll #2000-6672: Illegal Drugs and End of Life Survey, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include: Illegal drug use Terminally ill patients The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092244]. Frequencies and summary statistics for the 69 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.
description: The study dataset contains weight factors that should be employed in any data analysis. Typically weights are used in an attempt to assure that the survey sample more accurately represents the population. The weight variable in this study is WEIGHTS.
description: The sample includes 1,012 national adults.
description: Datasets: DS1: Harvard/Johnson/ICR Poll #2000-6672: Illegal Drugs and End of Life Survey, United States, 2000
description: National adult. Smallest Geographic Unit: State
description: telephone interviewPlease visit the Roper Center for Public Opinion Research website for more information on Poll # 2000-6672: Illegal Drugs and End of Life Survey.
DOI: 10.5281/zenodo.7948349
title: Mpox Close Skin Images

description: The <strong>Mpox Close Skin Images</strong> dataset (<strong>MCSI</strong>) is a collection of skin images obtained from diverse public sources, that we accurately pre-processed (i.e., cropped and zoomed) in order to focus the skin lesion (if present), and to evaluate Machine Learning models aimed at detecting different pathologies from skin lesion pictures taken with smartphone cameras.<br> <br> It includes a total of 400 pictures homogeneously divided in 4 different classes: <em>mpox</em>, which contains samples of mpox (formerly Monkeypox) skin lesions; <em>chickenpox</em>, with samples of chickenpox cases; <em>acne</em>, containing samples of acne at different severity levels; and <em>healthy</em>, which contains samples of skin without any evident symptoms.<br> <br> This repository is part of the supplementary material accompanying the paper named: <em>A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images</em>.<br> <br> Please, refer to the <em>README.md</em> file for more details.<br> <br> <strong>Version 2</strong> includes the addition of the file <em>skin_tone_labels.csv</em>. This file comprises the classification of skin images into Light and Dark skin tone classes. These classifications are instrumental in assessing the model's prediction fairness across various skin pigments.
description: This work was produced with the co-funding European Union - Next Generation EU, in the context of The National Recovery and Resilience Plan. The funding derives partially from Investment 1.5 Ecosystems of Innovation, Project Tuscany Health Ecosystem (THE), CUP: B83C22003920001 in which the authors M. G. Campana and F. Delmastro are involved, from Project MUSA – Multilayered Urban Sustainability Action in the Investment 1.5 Ecosystems of Innovation in which the author S. Mascetti is involved, and from the Research and Innovation Program PE00000014, "SEcurity and RIghts in the CyberSpace (SERICS)", CUP J33C22002810001, in which the author E. Pagani is involved.
DOI: 10.5281/zenodo.7948350
title: Mpox Close Skin Images

description: The <strong>Mpox Close Skin Images</strong> dataset (<strong>MCSI</strong>) is a collection of skin images obtained from diverse public sources, that we accurately pre-processed (i.e., cropped and zoomed) in order to focus the skin lesion (if present), and to evaluate Machine Learning models aimed at detecting different pathologies from skin lesion pictures taken with smartphone cameras.<br> <br> It includes a total of 400 pictures homogeneously divided in 4 different classes: <em>mpox</em>, which contains samples of mpox (formerly Monkeypox) skin lesions; <em>chickenpox</em>, with samples of chickenpox cases; <em>acne</em>, containing samples of acne at different severity levels; and <em>healthy</em>, which contains samples of skin without any evident symptoms.<br> <br> This repository is part of the supplementary material accompanying the paper named: <em>A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images</em>.<br> <br> Please, refer to the <em>README.md</em> file for more details.
description: This work was produced with the co-funding European Union - Next Generation EU, in the context of The National Recovery and Resilience Plan. The funding derives partially from Investment 1.5 Ecosystems of Innovation, Project Tuscany Health Ecosystem (THE), CUP: B83C22003920001 in which the authors M. G. Campana and F. Delmastro are involved, from Project MUSA – Multilayered Urban Sustainability Action in the Investment 1.5 Ecosystems of Innovation in which the author S. Mascetti is involved, and from the Research and Innovation Program PE00000014, "SEcurity and RIghts in the CyberSpace (SERICS)", CUP J33C22002810001, in which the author E. Pagani is involved.
DOI: 10.5281/zenodo.8360076
title: Mpox Close Skin Images

description: The <strong>Mpox Close Skin Images</strong> dataset (<strong>MCSI</strong>) is a collection of skin images obtained from diverse public sources, that we accurately pre-processed (i.e., cropped and zoomed) in order to focus the skin lesion (if present), and to evaluate Machine Learning models aimed at detecting different pathologies from skin lesion pictures taken with smartphone cameras.<br> <br> It includes a total of 400 pictures homogeneously divided in 4 different classes: <em>mpox</em>, which contains samples of mpox (formerly Monkeypox) skin lesions; <em>chickenpox</em>, with samples of chickenpox cases; <em>acne</em>, containing samples of acne at different severity levels; and <em>healthy</em>, which contains samples of skin without any evident symptoms.<br> <br> This repository is part of the supplementary material accompanying the paper named: <em>A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images</em>.<br> <br> Please, refer to the <em>README.md</em> file for more details.<br> <br> <strong>Version 2</strong> includes the addition of the file <em>skin_tone_labels.csv</em>. This file comprises the classification of skin images into Light and Dark skin tone classes. These classifications are instrumental in assessing the model's prediction fairness across various skin pigments.
description: This work was produced with the co-funding European Union - Next Generation EU, in the context of The National Recovery and Resilience Plan. The funding derives partially from Investment 1.5 Ecosystems of Innovation, Project Tuscany Health Ecosystem (THE), CUP: B83C22003920001 in which the authors M. G. Campana and F. Delmastro are involved, from Project MUSA – Multilayered Urban Sustainability Action in the Investment 1.5 Ecosystems of Innovation in which the author S. Mascetti is involved, and from the Research and Innovation Program PE00000014, "SEcurity and RIghts in the CyberSpace (SERICS)", CUP J33C22002810001, in which the author E. Pagani is involved.
DOI: 10.25345/c52n4zt9w
title: MassIVE MSV000092893 - IdeS, a secreted proteinase of Streptococcus pyogenes, is bound to the SpnA nuclease at the bacterial surface
title: This dataset describes the proteomics analysis of the Streptococcus pyogenes bacterium strains BMJ71 and the BMJ71 mutant derivate lacking the SpnA virulence factor.
DOI: 10.3886/icpsr38337.v1
title: Harvard University's School of Public Health/Robert Wood Johnson Foundation: Health and Health Care Priorities Survey, United States, 2001
title: Version 1

description: This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Health and Health Care Priorities, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include: Important health problems Satisfaction with state of nation Severity of health issues Organizations that improve health care Important laws to pass The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092255]. Frequencies and summary statistics for the 92 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.
description: The study dataset contains weight factors that should be employed in any data analysis. Typically weights are used in an attempt to assure that the survey sample more accurately represents the population. The weight variable in this study is WEIGHT.
description: The sample includes 1,210 national adults.
description: Datasets: DS1: Harvard University's School of Public Health/Robert Wood Johnson Foundation: Health and Health Care Priorities Survey, United States, 2001
description: National adult. Smallest Geographic Unit: State
description: telephone interviewPlease visit the Roper Center for Public Opinion Research website for more information on Health and Health Care Priorities.