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.
22
datasets available to search
ShareScore release 0.9.0
Dataset results
22 results for “social variability”
Social vulnerability to flooding in Ecuador : input variables, PCA vs Expert composite indices
<p><strong>Social vulnerability indices are used to better understand and predict the consequences of disasters, and support the development of improved disaster management policies. This research specifically supports the Ecuadorian Red Cross in generating a flood-specific social vulnerability index to inform flash flood early action protocol.</strong></p> <p>The dataset presents the results from the analysis of the social vulnerability to flooding in Ecuador, from individual input variables to the composite indices outputs. The results are available at the Parroquia level in Ecuador (admin level 3), for 1032 Parroquia excluding the Galapagos Islands.</p> <ul> <li>The dataset comprises, for each Parroquia, the estimation of <strong>15 variables characterizing the social vulnerability to flooding specific to Ecuador context</strong>. The variables are selected from literature review and consultation with Ecuadorian Red Cross disaster practitioners : <em>Disability, Poverty incidence, Gini Index, Agricultural labor share, Vectorborne disease incidence, Waterborne disease incidence, Social Security affiliation, Education level, Sanitation, Driking water access, Power access, Road travel time, Wall structure, Mobile access and Internet access.</em> All variables are normalized from 0 to 1, directed toward increasing vulnerability, and renamed accordingly.</li> <li>In addition, the <strong>Administrative level names, PCODE, calculated Area, population density,</strong> as well as related <strong>sub-regions</strong> are also referenced.</li> <li>Individual variables are integrated into <strong>composite vulnerability indices</strong>, using two different approaches: i) the Principal Component Analysis approach, using the first component <strong>PCA(n=1) </strong>and the first 5 components <strong>PCA(n=5)</strong> separately ; ii) the <strong>expert judgement weighting</strong> of the variables. The output composite indices, normalized from 0 to 1 are presented in 3 separated columns.</li> </ul> <p> </p>
Predicting International and Internal Migration in Guatemala with Social, Physical and Climatic Variables (Data)
<p>Accompanying data for the Depsky and Pons (2023) PLoS ONE publication - Predicting International and Internal Migration in Guatemala with Social, Physical and Climatic Variables.</p> <p>This repository contains tables of the raw 2018 Guatemalan national census values at the individual, household, and residence levels, as well as its migration-specific data table. Municipality-average climate values from ERA5-Land are provided as well, in addition to a shapefile of the municipal boundaries. All standardized outcome and predictor variables used for each of the five models are provided as separate tables as well.</p>
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.
Social network position experiences more variable selection than weaponry in wild subpopulations of forked fungus beetles
<p>1. The phenotypic expression and fitness consequences of behaviors that are exhibited during social interactions are especially sensitive to their local social context. This context-dependence is expected to generate more variation in the sign and magnitude of selection on social behavior than that experienced by static characters like morphology. Relatively few studies, however, have examined selection on behavioral traits in multiple populations. 2. We estimated sexual selection in the wild to determine if the strength and form of selection on social phenotypes is more variable than that on morphology. 3. We compared selection gradients on social network position, body size, and weaponry of male forked fungus beetles (Bolitotherus cornutus) as they influenced mating success across nine natural subpopulations. 4. Male horn length consistently experienced positive sexual selection. However, the sign and magnitude of selection on individual measures of network centrality (strength and betweenness) differed significantly among subpopulations. Moreover, selection on social behaviors occurred at local scale ("soft selection"), whereas selection on horn length occurred at the metapopulation scale ("hard selection"). 5. These results indicate that an individual with a given social phenotype could experience different fitness consequences depending on the network it occupies. While individuals seem to be unable to escape the fitness effects of their morphology, they may have the potential to mediate the pressures of selection on behavioral phenotypes by moving among subpopulations or altering social connections within a network.</p>
Social network position experiences more variable selection than weaponry in wild subpopulations of forked fungus beetles
Open the record for dataset details and reuse information.
Variable social organisation and breeding system of a social parrot revealed by genetic analysis
Open the record for dataset details and reuse information.
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925). in Muridae
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925).
Data from: Copy-when-uncertain: bumblebees rely on social information when rewards are highly variable
To understand the relative benefits of social and personal information use in foraging decisions, we developed an agent-based model of social learning that predicts social information should be more adaptive where resources are highly variable and personal information where resources vary little. We tested our predictions with bumblebees and found that foragers relied more on social information when resources were variable than when they were not. We then investigated whether socially salient cues are used preferentially over non-social ones in variable environments. Although bees clearly used social cues in highly variable environments, under the same conditions they did not use non-social cues. These results suggest that bumblebees use a 'copy-when-uncertain' strategy.
Reproduction data and code for "The social cost of carbon dioxide under climate-economy feedbacks and temperature variability"
<p>### Data for Kikstra et al. 2021, ERL, The social cost of carbon dioxide under climate-economy feedbacks and temperature variability</p> <p>This repository contains data and scripts for the main text figures in the article Kikstra, J.S., Waidelich, P., Rising J., Yumashev, D., Hope, C., Brierley, C.M. (2021) The social cost of carbon dioxide under climate-economy feedbacks and temperature variability, Environmental Research Letters. DOI <a href="https://doi.org/10.1088/1748-9326/ac1d0b">https://doi.org/10.1088/1748-9326/ac1d0b</a></p> <p>##### Authors<br> - Jarmo S. Kikstra<br> - Paul Waidelich<br> - James Rising<br> - Dmitry Yumashev<br> - Chris Hope<br> - Chris M. Brierly</p> <p>Correspondence: kikstra@iiasa.ac.at</p> <p>##### Data repository structure<br> - data # hosts all data that is used to produce the main text figures<br> - growth-effects # hosts model data for results from model runs with persistent damages, for figure 3 and figure 4<br> - PAGE-ANN-Growth_ModelResults_PersistenceDistribution # annual PAGE version, empirical persistence distribution<br> - PAGE-arVAR-Growth_ModelResults_PersistenceDistribution # annual PAGE version with temperature variability, empirical persistence distribution<br> - PAGE-Growth_ModelResults_FixedPersistence # main version, with 10 time steps, fixed persistence levels<br> - PAGE-Growth_ModelResults_LowPassFilterPersistenceDistribution # main version, with 10 time steps, low pass filter persistence distribution<br> - PAGE-Growth_ModelResults_PersistenceDistribution # main version, with 10 time steps, empirical persistence distribution<br> - page-ice # model data for results from PAGE-ICE base model runs<br> - scco2-montecarlo # for figure 6 data<br> - update-page # for figure 2 data<br> - variability # for figure 5 data<br> - extended data # hosts other data used in the manuscript or which we simply want to publish alongside. Example for naming convention for each variable in […] behind the files.<br> - economic-impact # model output variables “EquityWeighting_ te_totaleffect{_ann_yr}.csv” [PAGE-ICE_SSP1-1.9_discountedimpacts.csv]<br> - montecarlo-draws # model output variable “trialdata.csv” [PAGE-ICE_SSP1-1.9_trialdata.csv]<br> - sensitivity # hosts selected sensitivity analysis data used in the appendix<br> - temperature # model output variable “ClimateTemperature_rt_g_globaltemperature.csv” [PAGE-ICE_SSP1-1.9_globaltemperature.csv]<br> - scripts # has one script for each main text figure,<br> - figures # hosts main text figures as they come out of the scripts<br> - README.md # explanation for the repository</p>
Frequencies of variables related to perceived social support
<p>Tabla resumen de las frecuencias de las variables relacionadas con apoyo social percibido (Análisis extraído a partir de una revisión sistemática de investigaciones sobre apoyo social percibido en educación hasta diciembre 2022).</p>
Data from: Copy-when-uncertain: bumblebees rely on social information when rewards are highly variable
Open the record for dataset details and reuse information.
Data from: Phenotypic variability in unicellular organisms: from calcium signaling to social behavior
Open the record for dataset details and reuse information.
Influences of climatic and social environment on variable maternal allocation among offspring in Alpine marmots
<p>4 dataset corresponding to the four models described.</p>
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.
Attachment Style of Type 2 Diabetics, and Cognitive, Social and Emotional Variables as Explanatory Factors of Adherence to Self-care Behavior and Diabetes Control
ClinicalTrials.gov study NCT01418911. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Integration of Clinical, Biological and Psycho-social Variables for a Gender-sensitive Frailty Prediction
ClinicalTrials.gov study NCT07109596. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Physiological and Psycho-social Variables of People With a Spinal Cord Injury Participating in Competitive Rugby in Wheelchairs
ClinicalTrials.gov study NCT01696851. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PA Behavior and HRQoL in Parkinson's Disease Patients Patients: Role of Social Cognitive Variables
ClinicalTrials.gov study NCT05575479. IPD Sharing: Not stated. 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.
Influences of climatic and social environment on variable maternal allocation among offspring in Alpine marmots
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.