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190 results for “Social support”

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dryad32/100

Harnessing Artificial Intelligence technology and social media data to support Cultural Ecosystem Service assessments

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publicFeb 2021View details →
dryad32/100

Data from: Genetic evidence for prevalence of alloparental care in a socially monogamous biparental cichlid fish, Perissodus microlepis, from Lake Tanganyika supports the "selfish shepherd effect" hypothesis

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publicMar 2017View details →
dryad28/100

Data from: Diurnal variation in the production of vocal information about food supports a model of social adjustment in wild songbirds

Wintering songbirds have been widely shown to make economic foraging decisions to manage the changing balance of risks from predation and starvation over the course of the day. In this study, we ask whether the communication and use of information about food availability differ throughout the day. First, we assessed temporal variation in food-related vocal information produced in foraging flocks of tits (Paridae) using audio recordings at RFID-equipped feeding stations. Vocal activity was highest in the morning and decreased into the afternoon. This pattern was not explained by there being fewer birds present, as we found that group sizes increased over the course of the day. Next, we experimentally tested the underlying causes for this diurnal calling pattern. We set up bird feeders with or without playback of calls from tits, either in the morning or in the afternoon, and compared latency to feeder discovery, accumulation of flock members, and total number of birds visiting the feeder. Irrespective of time of day, playbacks had a strong effect on all three response measures when compared to silent control trials, demonstrating that tits will readily use vocal information to improve food detection throughout the day. Thus, the diurnal pattern of foraging behaviour did not appear to affect use and production of food-related vocalizations. Instead, we suggest that, as the day progresses and foraging group sizes increase, the costs of producing calls at the food source (e.g. competition and attraction of predators) outweigh the benefits of recruiting group members (i.e. adding individuals to large groups only marginally increases safety in numbers), causing the observed decrease in vocal activity into the afternoon. Our findings imply that individuals make economic social adjustments based on conditions of their social environment when deciding to vocally recruit group members.

opencc-zeroDec 2018View details →
zenodo28/100

The relationships of spiritual health, pregnancy worries and stress and perceived social support with childbirth fear and experience: A path analysis

<p>data set</p>

opencc-by-4.0Nov 2023View details →
zenodo28/100

Data and code supporting the main finding of Kaneko and Matsumoto et al. 2024 "Deciphering social traits and pathophysiological conditions from natural behaviors in common marmosets"

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opencc-by-4.0May 2024View details →
zenodo28/100

THE MEDIATION EFFECT OF CYBERBULLING AND SOCIAL-PSYCHOLOGICAL SUPPORT IN ADOLESCENT PERIOD

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opencc-by-4.0Jun 2024View details →
zenodo28/100

THE EFFECT OF SOCIAL SUPPORT ON BURNOUT AMONG CHINESE UNIVERSITY LECTURERS

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opencc-by-4.0Jul 2024View details →
zenodo28/100

The Double-Edged Sword of the Digital World: Exploring How University Students Find Balance and Fall into Addiction in Social Media Applications, Skills, and Support

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opencc-by-4.0Sep 2024View details →
zenodo28/100

Supplementary material 1 from: Eitzel M.V (2021) A modeler's manifesto: Synthesizing modeling best practices with social science frameworks to support critical approaches to data science. Research Ideas and Outcomes 7: e71553. https://doi.org/10.3897/rio.7.e71553

Modeler's Manifesto: Self-Situating Appendix

opencc-zeroSep 2021View details →
zenodo28/100

Figure 1 from: Eitzel M.V (2021) A modeler's manifesto: Synthesizing modeling best practices with social science frameworks to support critical approaches to data science. Research Ideas and Outcomes 7: e71553. https://doi.org/10.3897/rio.7.e71553

Figure 1 Workflow diagram for manifesto practices, showing which project stages may benefit from which practices. Interdisciplinary fluency, engaging with community-based modeling, and paying attention to power dynamics as well as impacts and implications are all important at all stages of modeling work. Epistemic consistency is important throughout model development (the three middle steps of model choice, construction, and description) and communication, while triangulation and mixed methods contribute largely to model development. The data biography is most important in the model description stage, though one may need to keep a journal and track details of the model development process in order to create the data biography. Treating uncertainty as openness is most important in model communication and application; however, this could feed back into iterative model development steps as well, or one could design models to aid in treating uncertainty as openness.

opencc-by-4.0Sep 2021View details →
zenodo28/100

Frequencies of variables related to perceived social support

<p>Tabla resumen de las frecuencias de las variables relacionadas con apoyo social percibido (An&aacute;lisis extra&iacute;do a partir de una revisi&oacute;n sistem&aacute;tica de investigaciones sobre apoyo social percibido en educaci&oacute;n hasta diciembre 2022).</p>

opencc-by-4.0Feb 2023View details →
ClinicalTrials.gov28/100

Social Support Intervention for Self-management of Type 2 Diabetes Mellitus

ClinicalTrials.gov study NCT04491253. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Psycho-social Support on Mental Health and Hope of Adolescents Affected by Earthquake in Nepal

ClinicalTrials.gov study NCT03387007. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Online Social Support Program for Physical and Mental Health of Filipino Migrant Domestic Workers in Hong Kong

ClinicalTrials.gov study NCT05660837. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov28/100

STEP: Social Support To Empower Parents

ClinicalTrials.gov study NCT00480493. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Supporting Social and Emotional Competence in Preschool Children

ClinicalTrials.gov study NCT04512157. IPD Sharing: YES. Countries: 0. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov28/100

Physical Activity and Social Support Prompting Via Phone Messaging

ClinicalTrials.gov study NCT02850770. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Social and Emotional Development Support Program for Adolescents: Effects on Belonging, Meaning in Life, Authenticity, Well-Being, and Resilience

ClinicalTrials.gov study NCT07253636. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Social Support Aid For People With Dementia

ClinicalTrials.gov study NCT03645694. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Y2Prevent: Preventing Drug Use and HIV Through Empowerment, Social Support and Mentorship (Y2P)

ClinicalTrials.gov study NCT04504981. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.