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5,666 results for “Social”
Data from: The genetic basis of variation in sexual aggression: evolution versus social plasticity
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Data from: Not just females: the socio-ecology of social interactions between spider monkey males
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Data from: Physical and social cues shape nest-site preference and prey capture behavior in social spiders
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Behavioral context affects social signal representations within single primate prefrontal cortex neurons
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Reduced water negatively impacts social bee survival and productivity via shifts in floral nutrition
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Care-giver identity impacts offspring development and performance in an annually social bumble bee
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An ancient and eroded social supergene is widespread across Formica ants
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The Kanyakla Study: Randomized controlled trial of a microclinic social network intervention for promoting engagement and retention in HIV care in rural western Kenya
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Ecological and social Interactions in urban parks: bird surveys in local parks in the central Arizona-Phoenix metropolitan area
Our central objective is to use small, neighborhood parks in Phoenix to study: (1) the ways in which ecological processes are influenced by human values, use, and management; and (2) the ways in which human attitudes and activities, and the services valued by humans, are influenced by ecological characteristics and processes. Elucidating this coupling in Phoenix parks will itself be a significant step towards understanding the complexities of human-nature interactions. The information gathered in addressing the central objective, though, can and should be used to assess potential trajectories for ecological processes. Our second objective is to develop trajectories for potential changes in ecosystem services in the Phoenix metropolitan area, given economic and demographic trends, and given the signal of human-nature interactions among different social groups.
Ecological and social interactions in urban parks in central Arizona-Phoenix: site locations
Our central objective is to use small, neighborhood parks in Phoenix to study: (1) the ways in which ecological processes are influenced by human values, use, and management; and (2) the ways in which human attitudes and activities, and the services valued by humans, are influenced by ecological characteristics and processes. Elucidating this coupling in Phoenix parks will itself be a significant step towards understanding the complexities of human-nature interactions. The information gathered in addressing the central objective, though, can and should be used to assess potential trajectories for ecological processes. Our second objective is to develop trajectories for potential changes in ecosystem services in the Phoenix metropolitan area, given economic and demographic trends, and given the signal of human-nature interactions among different social groups.
Phoenix Area Social Survey: 2006 and 2011 Joined Dataset
The Phoenix Area Social Survey (PASS) is a longitudinal initiative funded by the National Science Foundation through the Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) program at Arizona State University. In 2006 and 2011, the PASS research team surveyed residential addresses in selected neighborhoods in the metropolitan Phoenix area to better understand perceptions, values, and behaviors regarding several key environmental issues, including water conservation, urban growth, air pollution, land conservation, biodiversity and urban climate change. To facilitate longitudinal analysis, PASS researchers have joined the 2006 and 2011 PASS datasets across questions common to both surveys. The resulting codebook (see link to codebook and report below) provides details on each question in the 2006 and 2011 joined dataset and methodological information. Since the PASS was originally designed to focus on neighborhood-level changes over time, the survey strategy followed residential addresses over time, not individual respondents. The PASS 2006 and 2011 joined dataset captures the 365 residential addresses that were surveyed during both years. A sub-set of this dataset is the 196 individuals who responded to the PASS in 2006 and 2011. Researchers interested in comparing responses from the same respondent over time can do so by using the Screen2006A question in the 2011 survey to create this data sub-set.
Dataset on termite trajectories in experimental arenas under varying social context
<p>Here we present a dataset of trajectories of <em>Cornitermes cumulans</em> (Blattodea: Isoptera: Termitidae: Nasutitermitinae) termites confined in experimental arenas along with their nestmates. The assays consisted of tracking a focal termite worker inserted in groups composed of varying numbers of nestmates arranged in varying soldier: worker proportions. We captured, every 0.5 s along 6 hours, the cartesian locations of the focal termite, using a video camera coupled to the software Ethovision XT. This allowed us to build the full trajectory of each focal termite in each arena along the full extent of each assay. With more than 2 million data-points, the set of termite trajectories provided here is the largest published so far.</p> <p>The dataset containing the Cartesian coordinates for the trajectories of focal termite workers. From each assay, we obtained two data series: (i) the raw trajectory with a few steps eventually missed by the tracking software, (ii) a trajectory minimally processed to interpolate the missing steps and change the origin of the coordinate system to remove the negative values. The raw recordings are presented in .txt files with the readings separated by semicolons, and the data series minimally processed are presented in .csv files with readings separated by comma. Each data series is named with a simple code from S01 to S75 (S, series).</p> <p><strong>1. Raw data series:</strong><br> Each raw data series is composed of two parts: the header and the columns. The header contains the identity and the general conditions of the assay. The columns consist of the data collected at the rate of one sample every 0.5 seconds with a maximum of 43,155 Cartesian points gathered. Additional details are given below, to help better understanding and allow proper use of these data.</p> <p><em>1.1 Fields of the header</em></p> <ul> <li>Experiment: The name given to the assay. This name was always composed by the word ``cupim'' -- termite in Brazilian Portuguese -- plus the day and the month of the assay plus the part of the day in which the tracking was made. For example, the experiment ``Cupim28AbrilManha'' means an assay with termites tracked on the day 28 of April during the morning (``Manhã'' in Portuguese). </li> <li>Arena name: The arena from which the data is reported. </li> <li>Subject name: Name given by default (Subject 01) to the individual tracked. </li> <li>Start time: Date and start time of the tracking.</li> <li>Trial duration: Duration of the assay. For all the cases tracking lasted for 6 hours. </li> <li>Recording after: Time spent between the onset of the trial and the actual recording of the first X and Y position; 1.5 seconds for all the trials. </li> <li>Recording duration: Total time of the trial recordings (6 hours). </li> <li>Track: The actual name given by Ethovision XT software to the tracking file with .trk extension. </li> <li>Tracking source: Brand and model of the video camera used to track the individuals. </li> <li>Reference duration: Time programmed for the trial (6 hours). </li> <li>Reference time: Date and time of the trial as given by the hosting computer </li> <li>Missed samples: Percentage of samples missed. </li> <li>Subject not found: Percentage of times the individual was not detected by the video camera. </li> </ul> <p> </p> <p><em>1.2 Columns:</em></p> <ul> <li>Trial time: Collection time of each sample in seconds. </li> <li>Recording time: Time in seconds in which each pair of Cartesian coordinates were saved in the memory of the software. The first pair of points received the time 0 s.</li> <li>X center: X component of the Cartesian point in milimeters.</li> <li>Y center: Y component of the Cartesian point in milimeters.</li> <li>Area: Area in square millimeters of the focal termite each time it was detected by the software. The Cartesian coordinates were missed when the area detected became close to zero.</li> <li>Areachange: The change of the focal termite area, in pixels, between the current sample and the previous one.</li> <li>Elongation: A value in percentage to indicate how much the body of the individual stretches. If 0 the shape's of the individual is perfectly circular and 1 if the subject's body is a line. </li> <li>Distance moved: The distance traveled in milimeters by the individual from the previous X-Y coordinates to the current position. </li> <li>Velocity: The distance moved in milimeters by the individual per unit time in seconds.</li> </ul> <p>For additional information consult the Ethovision XT manual.</p> <p> </p> <p><strong>2. Data series minimally processed</strong><br> The data series processed to eliminate the gaps resulting from missed samples have two columns, each corresponding to the X or the Y coordinate describing the focal termite position in the arena at a given time. As mentioned above, the full identification of each data series as well as the conditions of the assay are given in the table 1 (pdf file) and also in the header of the raw data series. For all the cases, the first column of the .dat file corresponds to X-axis and the second one to Y-axis. </p>
Fig. 2 in Unusual effect of chemical communication on social aggression in juvenile cichlid fish Cichlasoma paranaense (Cichliformes: Cichlidae)
Fig. 2. Establishment of social rank. Dominance index (mean ± S.E.) by rank before aquarium water changing. Data were collapsed across treatments. Letters compare means between ranks within each observation session. Different letters indicate statistical significance among ranks. Asterisks indicate significant differences within rank between the first and the fourth observation session (Mixed Model ANOVA followed by Fisher's LSD post hoc test).
Fig. 1 in Unusual effect of chemical communication on social aggression in juvenile cichlid fish Cichlasoma paranaense (Cichliformes: Cichlidae)
Fig. 1. Ethogram of the aggressive interactions in Cichlasoma paranaense based on Brandão et al. (2015).
Fig. 3 in Unusual effect of chemical communication on social aggression in juvenile cichlid fish Cichlasoma paranaense (Cichliformes: Cichlidae)
Fig. 3. Number (mean ± S.E.) of a. overt aggression and b. restrained aggression following water renewal in each treatment. Letters indicates a significant difference in relation to observation before water change (baseline) within each treatment. Different letters indicate statistical significance. Asterisk compares the observations between treatments. (Mixed Model ANOVA followed by Fisher's LSD post hoc test).
Citation contexts of papers citing Merton's work "Social Theory and Social Structure"
<p>Citation contexts of papers citing Merton's work "Social Theory and Social Structure" based on MAG. Please see also:</p> <p>https://aka.ms/msracad</p> <p>Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang.<br> 2015. An Overview of Microsoft Academic Service (MA) and Applications. In Proceedings of the 24th<br> International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA,<br> 243-246. DOI=http://dx.doi.org/10.1145/2740908.2742839</p> <p> </p> <p> </p>
Figure 8 from: Messer SJ, Cover SP, Rabeling C (2020) Two new species of socially parasitic Nylanderia ants from the southeastern United States. ZooKeys 921: 23-48. https://doi.org/10.3897/zookeys.921.46921
Figure 8 Boxplots of the Forewing Index (FWI) in (A) gynes of non-parasitic Nearctic Nylanderia (grey), N. deceptrix (red), N. deyrupi (blue), and N. parasitica (yellow), as well as (B) males of non-parasitic Nearctic Nylanderia (grey) and N. parasitica (yellow). Host species are represented by a lighter color shade than their respective social parasite species. (*** = P < 0.001, **** = P << 0.0001).
Figure 6 from: Messer SJ, Cover SP, Rabeling C (2020) Two new species of socially parasitic Nylanderia ants from the southeastern United States. ZooKeys 921: 23-48. https://doi.org/10.3897/zookeys.921.46921
Figure 6 Boxplots comparing body sizes (Weber's Length) of social parasite queens (red) to the queens (light blue) and workers (dark blue) of their respective host species. Letters above the boxes indicate significantly different groups (Pairwise Mann-Whitney Test with Bonferroni correction, P < 0.05).
Figure 5 from: Messer SJ, Cover SP, Rabeling C (2020) Two new species of socially parasitic Nylanderia ants from the southeastern United States. ZooKeys 921: 23-48. https://doi.org/10.3897/zookeys.921.46921
Figure 5 Males of the social parasite Nylanderia parasitica (A, C, E) and its host Nylanderia faisonensis (B, D, F) in full-face (A, B), lateral (C, D), and dorsal (E, F) views. Scale bars: 0.1 mm (A, B), 0.5 mm (C–F).
Figure 4 from: Messer SJ, Cover SP, Rabeling C (2020) Two new species of socially parasitic Nylanderia ants from the southeastern United States. ZooKeys 921: 23-48. https://doi.org/10.3897/zookeys.921.46921
Figure 4 Gynes of the social parasite Nylanderia parasitica (A, C, E) and its host Nylanderia faisonensis (B, D, F) in full-face (A, B), lateral (C, D), and dorsal (E, F) views. Scale bars: 0.1 mm (A, B), 0.5 mm (C–F).
ScienceDex guides
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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.