Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5,666
datasets available to search
ShareScore release 0.9.0
Dataset results
5,666 results for “Social”
Moral Judgments in Narratives on Reddit: Investigating Moral Sparks via Social Commonsense and Linguistic Signals
<ol> <li>The file 'post_instances.jsonl' contains instances extracted from specific posts. In this file, instances that contain moral sparks are labeled as '1,' while others are labeled differently or as '0.'</li> <li>Each instance is scraped by using PushShift API by searching for an unique id. And each instance contains its comment ids that use ">" to quote excerpts in a post. We removed author names and make it left with ids and contexts. The "label" field is computed by using regular expressions to match predefined r/AmItheAsshole verdict codes.</li> <li>The sup_documents.pdf includes full lists of c-event clusters and parameters of linguistic features used in our paper.</li> <li>The regular expressions used to extract the verdicts are as follows:AUTHOR = (0, 'YTA', [<br> r'\m(?i:YWBTA?)\M',<br> r'\m(?i:YTAH?)\M',<br> r"(?e)(?i:"<br> r"you(?:'re| r| are| were| would be| will be) "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r"(?:an? |the )?"<br> r"(?:huge |big |giant )?"<br> r"(?:asshole|a-?hole)"<br> r"){e<=1}",<br> r"(?e)(?i:"<br> r"you "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r"(?: r| are| were)? (?:an? |the )?"<br> r"(?:huge |big |giant )?"<br> r"(?:asshole|a-?hole)"<br> r"){e<=1}"<br> ])<br> OTHER = (1, 'NTA', [<br> r'\m(?i:YWNBTA?)\M',<br> r'\m(?i:Y?NTAH?)\M',<br> r'(?e)(?i:'<br> r"you(?:'re| r| are| were| would| will) "<br> r"(?!both)"<br> r'(?:not| not be) '<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:an? |the )?'<br> r"(?:asshole|a-?hole)"<br> r'){e<=1}',<br> r'(?e)(?i:'<br> r"(he|she)(?:'s|s| s| is| was)"<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:an? |the )?'<br> r"(?:asshole|a-?hole)"<br> r'){e<=1}',<br> r'(?e)(?i:'<br> r"they(?:'re|r| r| are| were)"<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:the )?'<br> r"(?:asshole|a-?hole)"<br> r'){e<=1}'<br> ])<br> EVERYBODY = (2, 'ESH', [<br> r'\m(?i:ESH)\M',<br> r'(?e)(?i:every(?:one|body) sucks here){e<=1}',<br> r'(?e)(?i:you both suck){e<=1}',<br> r'(?e)(?i:'<br> r"you(?:'re| r| are| were) "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'both (?:the )? (?:assholes?|a-?holes?)){e<=1}',<br> r'(?e)(?i:'<br> r"you both"<br> r"(?:'re| r| are| were)? "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:the )?'<br> r"(?:assholes?|a-?holes?)"<br> r'){e<=1}',<br> r'(?e)(?i:'<br> r"there(?: r| are| were)(?: any| all) "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:assholes?|a-?holes?)){e<=1}'<br> <br> ])<br> NOBODY = (3, 'NAH', [<br> r'\m(?i:NAH?H)\M',<br> r'(?e)(?i:no (?:assholes|a-?holes|asshole) here)',<br> r'(?e)(?i:no one is the (?:asshole|a-?hole)){e<=1}',<br> r'(?e)(?i:'<br> r"you both"<br> r"(?:'re| r| are| were)? "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'not (?:an? |the )?'<br> r"(?:assholes?|a-?holes?)"<br> r'){e<=1}',<br> r'(?e)(?i:'<br> r"you(?:'re| r| are| were) "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'both not (?:an? |the )? (?:assholes?|a-?holes?)){e<=1}',<br> r'(?e)(?i:'<br> r"you "<br> r"both(?: weren't| aren't)? (?:an? |the )? (?:assholes?|a-?holes?)){e<=1}",<br> r'(?e)(?i:'<br> r"there(?: r| are| were)"<br> r' no '<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:assholes?|a-?holes?)){e<=1}'<br> ])<br> INFO = (4, 'INFO', [<br> r'\m(?i:INFO)\M',<br> r'(?e)(?i:not enough info){e<=1}',<br> r'(?e)(?i:needs? more info){e<=1}',<br> r"(?e)(?i:more info(?:'s| is)? required){e<=1}"<br> ])</li> </ol> <p> </p>
African elephant rumbles differ between populations and sympatric social groups: possible consequences of vocal learning?
<p>Vocal production learning, the ability to modify vocalizations in response to sounds made by others, was a critical prerequisite for the evolution of human speech but is rare among mammals. Elephants have exhibited this ability in captivity, yet its function in wild elephants remains unknown. Female African savannah elephants (<em>Loxodonta</em> <em>africana</em>) live in large societies with nested tiers of association in which vocal signatures of group identity could facilitate recognition of distant social affiliates. Vocal production learning allows the formation of such group signatures in many species and can also cause vocal differentiation between populations. However, the existence of vocal signatures of social group or population in elephants was unexplored. We recorded multiple social groups of wild elephants in two Kenyan populations (Samburu and Amboseli) and used random forest models to determine if calls could be assigned to individual callers, family groups, bond groups (collections of family groups), or populations based on acoustic structure. Calls were assigned by a random forest model to individual callers and populations with better-than-chance accuracy, demonstrating population-level divergence in vocalization structure. While random forest models failed to accurately assign calls to family or bond group, calls from the same family or bond group were significantly more similar (higher proximity scores) than calls from different groups, suggesting the existence of group signatures as well. We discuss possible drivers of this differentiation and argue that vocal learning is the most likely explanation for population- and group-level variation in elephants. The existence of group signatures suggests recognition of large numbers of individuals as a possible adaptive function for vocal production learning in elephants.</p>
Data from: Culling-induced perturbation of social networks of wild geese reinforces rather than disrupts associations among survivors
<p>Wildlife populations may be the subject of management interventions for disease control that can have unintended, counterproductive effects. Social structure exerts a strong influence over infectious disease transmission in addition to other characteristics of populations such as size and density that are the primary target for disease control. Social network approaches have been widely used to understand disease transmission in wildlife but rarely in the context of perturbations, such as culling, despite the likely impacts of such disturbance on social structure and disease dynamics. Here we present a 'removal' study of a free-living population of resident Canada geese <em>Branta canadensis</em>, a highly social species that is frequently managed by culling and can carry pathogens relevant to human and domestic animal health. We quantified social network structure and spatial behaviour before and after controlled culling of individuals during the summer moult. Culling did not substantially increase individual social connectivity. Individuals that moulted at cull sites or were formerly strongly associated with removed birds were more likely to strengthen and maintain any surviving existing associations while also forming new associations. However, the establishment of new associations was largely compensatory (with only small increases in the number and strength of connections) and occurred locally. Synthesis & applications: geese that survived the cull responded by strengthening existing social relationships and forming new, compensatory relationships with birds local to them in the network. In the short-term such compensatory adjustments to patterns of association in response to culling could facilitate pathogen transmission. But in the longer term, controlled culling of geese is unlikely to strongly influence pathogen spread and may even slow transmission into new social clusters by reducing wider mixing. When managing wildlife for disease control, in addition to changes in social network structure the prevalence of infection at the time of the cull and the mode of transmission (e.g., direct versus environmental) will also be critical determinants of disease transmission risk in perturbed populations of geese and other wild animals.</p>
Targeted social immunity is associated with a pathogen-specific erosion of individual immune function in ants - dataset
<p>Complete dataset of quantitative data and R scripts used to generate the figures and statistics of the publication, sorted by figure panel number. Information about data structure are including in the scripts. </p>
Data from: How to use discrete choice experiments to capture stakeholder preferences in social work research
<p>The primary article (cited below under "Related works") introduces social work researchers to discrete choice experiments (DCEs) for studying stakeholder preferences. The article includes an online supplement with a worked example demonstrating DCE design and analysis with realistic simulated data. The worked example focuses on caregivers' priorities in choosing treatment for children with attention deficit hyperactivity disorder. This dataset includes the scripts (and, in some cases, Excel files) that we used to identify appropriate experimental designs, simulate population and sample data, estimate sample size requirements for the multinomial logit (MNL, also known as conditional logit) and random parameter logit (RPL) models, estimate parameters using the MNL and RPL models, and analyze attribute importance, willingness to pay, and predicted uptake. It also includes the associated data files (experimental designs, data generation parameters, simulated population data and parameters, simulated choice data, MNL and RPL results, RPL sample size simulation results, and willingness-to-pay results) and images. The data could easily be analyzed using other software, and the code could easily be adapted to analyze other data. Because this dataset contains only simulated data, we are not aware of any legal or ethical considerations.</p>
Social Risk Score, Clinical Decision Support Tool and Closed Loop Referral for Social Risk Screen and Referral
ClinicalTrials.gov study NCT05574699. IPD Sharing: NO. Countries: 1. Publications: 2.
Social Virtual-reality on Enhancing Social Interaction Skills in Children With Attention-deficit/Hyperactivity Disorder
ClinicalTrials.gov study NCT05778526. IPD Sharing: NO. Countries: 1. Publications: 2.
Paired Promotion of Colorectal Cancer and Social Determinants of Health Screening
ClinicalTrials.gov study NCT04585919. IPD Sharing: YES. Countries: 1. Publications: 2.
Unmet Social Needs Study
ClinicalTrials.gov study NCT04977583. IPD Sharing: YES. Countries: 1. Publications: 2.
USS Training to Improve Social Function in People With Psychosis
ClinicalTrials.gov study NCT04557124. IPD Sharing: YES. Countries: 1. Publications: 1.
Perceived Social Support, Heart Rate Variability, and Hopelessness in Patients With Ischemic Heart Disease
ClinicalTrials.gov study NCT05003791. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Implementing social network analysis to understand the socio-ecology of wildlife co-occurrence and joint interactions with humans in anthropogenic environments
Open the record for dataset details and reuse information.
Supplementary data for: Transcriptomics of mosaic brain differentiation underlying complex division of labor in a social insect
Open the record for dataset details and reuse information.
Social behavior among nocturnally migrating birds revealed by automated moonwatching
Open the record for dataset details and reuse information.
Group composition of individual personalities alters social network structure in experimental populations of forked fungus beetles
Open the record for dataset details and reuse information.
Data from: Ornamentation is associated with social costs in male red-backed fairywrens (<em>Malurus melanocephalus</em>)
Open the record for dataset details and reuse information.
Single fathers sacrifice their broods and re-mate quickly in a socially monogamous cichlid
Open the record for dataset details and reuse information.
Social Context Affects Camouflage in a Cryptic Fish Species
Open the record for dataset details and reuse information.
GPS collar data and social-ecological feature data for examining the movement of coyotes in Los Angeles, California (2019-2021)
Open the record for dataset details and reuse information.
Joint environmental and social benefits from diversified agriculture
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.