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Dataset results
19 results for “socio-demographic”
Investigating dynamics between energy use and socio-demographic characteristics in spatial modeling of residential energy consumption
<p>Files represent datasets (2017 Residential Building Stock Assessment and American Community Survey 2012-2017 5-year estimate) and R-code associated with the analysis. </p>
Socio-demographic portrait and demographic values of pro-natalists and anti-natalists in Russia: assessment based on data from the social network VKontakte
<p>The dataset contains data from personal profiles of social network users VKontakte - socio-demographic characteristics (gender, age, date of birth, marital status, country and city of residence) and indicators of demographic values (“the main thing in life”, attitude to alcohol, attitude to smoking, pronatalist or anti-natalist), as well as a number of other indicators - religious and political beliefs,<br> "the main thing in people." Initially, as a selection criterion, the authors used belonging user to the relevant communities (groups) of the VKontakte social network, sharing different family and reproductive values (to be a parent, to give birth child, start a family or profess the values of childfree philosophy). For example, persons who were members of groups devoted to "childfree" values were assigned the status "anti-natalist". And individuals in groups devoted to issues of childbirth and family values, parenthood, were assigned the status of "pronatalist". For example, groups with the names "GOOD PARENTS" (https://vk.com/club52388302) and "MOM: Development, Family, Children" (https://vk.com/club69716165) are pronatalist, and groups "The TRUTH about Childfree (Childfree)" (https://vk.com/club58565280) and "Overheard Childfree" (https://vk.com/club69265846) - to anti-natalist ones. The authors extracted comments of users of these two types of groups in the social network VKontakte, applying methods of extraction (parsing) of data from social networks using VK API. Organized open access to databases compiled by us from hundreds<br> thousand comments from users of dozens of groups of two types in more than one and a half decades [Kalabikhina &amp; Banin, 2020; Kalabikhina &amp; Banin, 2021]. Further, the authors linked the data of their personal data to users from these groups.<br> questionnaires. At the second stage, the resulting sample was additionally corrected - in it only those persons who filled in the field "The main thing in life" in the personal questionnaire on VKontakte to determine priority values for users with different types of reproductive behavior. Include in the analysis only those users who answered the question from personal questionnaire on VKontakte about what is most important for them in life, allows reduce the risk of "bots" getting into the sample. We believe that in the questionnaires of bots such fields as "The main thing in life", "The main thing in people" will not be filled in, the indication of this<br> information in the personal profile testifies in favor of the fact that the account is really belongs to a real person. At this stage, the sample included 754,315 users. Additionally, we limited the sample according to the age indicated in the questionnaire. We excluded from the sample users who indicated their age of 80 years and older. We we believe that this is an indirect sign by which it is possible to identify accounts with inaccurate information. The final sample after the introduced restrictions was 377,786 people, it includes users of the social network VKontakte, consisting of groups of anti-natalists and pro-natalists who filled in the information section about themselves item "The main thing in life" minus persons who indicated in the questionnaire that they are over 80 years old.</p>
Harmonized INSEE socio-demographic IRIS-level data and IRIS conversion file (2010-2020)
<p>The smallest level of aggregation for sociodemographic data made publicly available by the French INSEE is the IRIS. Data is downloadable on INSEE websites but decomposed by type of variable and by year. I thus combined all datasets into a single homogenous dataset for practicality. It includes on the period 2010-2020 :</p> <ul> <li>Population structure (age, gender...) data</li> <li>Economic occupation CSP data</li> <li>Available income data</li> <li>Family data</li> </ul> <p>Since a sizeable amount of IRIS change each year, timewise comparisons are limited. I therefore created a conversion file. Each IRIS is expressed as a % combination of previous IRIS. This allows to track IRIS merge, IRIS split and border changes. Measurement errors linked to border overlap were detected when the overlap of 2 IRIS was less than 1 percent. The IRIS overlap without the measurement error is the variable _ajuste (pardon my French). This allows to express the IRIS of a year as the wieghted sum of the IRIS of any other given year.</p> <p>You will also find the codes I used to create each of the files included in this project on my github. The annotation may be lacking, it is currently being improved. </p>
Resources for "BMF CP 91: Socio-demographic factors, illness experience, severity perception, and sensitivity to air quality index"
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>What are the factors associated with the sensitivity towards the air quality rating index to reduce outdoor activities?</span></li> </ul>
Rare species biodiversity, socio-demographics and local and landscape characteristics in Northern California community urban gardens
<p>Cities are sometimes characterized as homogenous with species assemblages composed of abundant, generalist species having similar ecological functions. Under this assumption, rare species, or species observed infrequently, would have especially high conservation value in cities for their potential to increase functional diversity. Management to increase the number of rare species in cities could be an important conservation strategy in a rapidly urbanizing world. However, most studies of species rarity define rarity in relatively pristine environments where human management and disturbance is minimized. We know little about what species are rare, how many species are rare, and what management practices promote rare species in urban environments. Here, we identified which plants and species of birds and bees that control pests and pollinate crops are rare in urban gardens and assessed how social, biophysical factors, and cross-taxonomic comparisons influence rare species richness. We found overwhelming numbers of rare species, with over 50% of plant cultivars observed classified as rare. Our results highlight the importance of women, older individuals, and gardeners who live closer to garden sites in increasing the number of rare plants within urban areas. Fewer rare plants were found in older gardens and gardens with more bare soil. There were more rare bird species in larger gardens and more rare bee species where canopy cover was higher. We also found that in some cases, rarity begets rarity, with positive correlations found between the number of rare plants and bee species and between bee and bird species. Overall, our results suggest that urban gardens include a high number of species existing at low frequency and that social and biophysical factors promoting rare, planned biodiversity can cascade down to promote rare, associated biodiversity.</p>
Rare species biodiversity, socio-demographics and local and landscape characteristics in Northern California community urban gardens
Open the record for dataset details and reuse information.
Socio-demographic, institutional and governance factors influencing adaptive capacity of smallholder irrigation schemes
<p>Socio-demographic, institutional and governance factors influencing adaptive capacity of smallholder irrigation schemes</p>
Socio-demographic Characteristics of Basic Life Support Course Participants
ClinicalTrials.gov study NCT04251325. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Study of Socio-demographic Factors, Behaviors and Practices Associated With Infection With SARS-CoV-2 Responsible for COVID-19
ClinicalTrials.gov study NCT04607941. IPD Sharing: NO. Countries: 1. Publications: 6.
Suicide Re Attempts in Young Adults After First Suicide Attempt : Socio-demographic, Clinical and Biological Correlates
ClinicalTrials.gov study NCT03538197. IPD Sharing: NO. Countries: 1. Publications: 1.
Survey Data of the socio-demographic, economic and water source types that influences HHs drinking water supply
Open the record for dataset details and reuse information.
Data from: Socio-demographic, social-cognitive, health-related and physical environmental variables associated with context-specific sitting time in Belgian adolescents: a one-year follow-up study
Introduction: More knowledge is warranted about multilevel ecological variables associated with context-specific sitting time among adolescents. The present study explored cross-sectional and longitudinal associations of ecological domains of sedentary behaviour, including socio-demographic, social-cognitive, health-related and physical-environmental variables with sitting during TV viewing, computer use, electronic gaming and motorized transport among adolescents. Methods: For this longitudinal study, a sample of Belgian adolescents completed questionnaires at school on context-specific sitting time and associated ecological variables. At baseline, complete data were gathered from 513 adolescents (15.0±1.7 years). At one-year follow-up, complete data of 340 participants were available (retention rate: 66.3%). Multilevel linear regression analyses were conducted to explore cross-sectional correlates (baseline variables) and longitudinal predictors (change scores variables) of context-specific sitting time. Results: Social-cognitive correlates/predictors were most frequently associated with context-specific sitting time. Longitudinal analyses revealed that increases over time in considering it pleasant to watch TV (p < .001), in perceiving TV watching as a way to relax (p < .05), in TV time of parents/care givers (p < .01) and in TV time of siblings (p < .001) were associated with more sitting during TV viewing at follow-up. Increases over time in considering it pleasant to use a computer in leisure time (p < .01) and in the computer time of siblings (p < .001) were associated with more sitting during computer use at follow-up. None of the changes in potential predictors were significantly related to changes in sitting during motorized transport or during electronic gaming. Conclusions: Future intervention studies aiming to decrease TV viewing and computer use should acknowledge the importance of the behaviour of siblings and the pleasure adolescents experience during these screen-related behaviours. In addition, more time parents or care givers spent sitting may lead to more sitting during TV viewing of the adolescents, so that a family-based approach may be preferable for interventions. Experimental study designs are warranted to confirm the present findings.
Implementation and Evaluation of an Electronic Alert to Encourage Targeted Screening for HIV Infection at Foch Hospital According to Socio-demographic Criteria
ClinicalTrials.gov study NCT03991767. IPD Sharing: NO. Countries: 1. Publications: 0.
Psychiatric Co-morbidities and Socio-demographic Characteristics in Patients With Idiopathic Hypersomnia
ClinicalTrials.gov study NCT05778721. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Caregiver Depression in a Low-Resource Setting: Socio-Demographic Predictors of Major Depressive Disorder Among Family Caregivers of Breast Cancer Patients in Pakistan
ClinicalTrials.gov study NCT06992167. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Clinical and Socio-demographic Characteristics of Young People Aged 12 to 25 Consulting on Ambulatory Structures in the Seine Saint-Denis
ClinicalTrials.gov study NCT04365621. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Socio-demographic, social-cognitive, health-related and physical environmental variables associated with context-specific sitting time in Belgian adolescents: a one-year follow-up study
Open the record for dataset details and reuse information.
Survey of the Finnish population to identify how socio-demographic factors, attitudes and beliefs relate to the size of an individual's carbon footprint
<p><span>This dataset (N=<span>3519</span>) contains responses to a survey conducted in Finland in 2022. The survey investigates individual carbon footprints, lifestyles and environmental and political attitudes. It is used in a study examining the determinants of individual carbon footprints in Finland, with a particular focus on psychological and political factors.</span></p> <p><span>The dataset is derived from 2022 CLIMATE NUDGE survey (</span><span><a href="https://osf.io/3s8uc" target="_new"><span>https://osf.io/3s8uc</span></a></span><span>).</span></p>
Dataset related to the article "Who Is Willing to Get Vaccinated? A Study into the Psychological, Socio-Demographic, and Cultural Determinants of COVID-19 Vaccination Intentions"
<p>This record contains raw data related to the article "Who Is Willing to Get Vaccinated? A Study into the Psychological, Socio-Demographic, and Cultural Determinants of COVID-19 Vaccination Intentions"</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.