Find research datasets worth reusing

Fig. 7 in Social and reproductive physiology and behavior of the Neotropical cichlid fish Cichlasoma dimerus under laboratory conditions

Fig. 7. Semiquantitative analysis of pituitary hormone content

Fig. 5. Reproductive territorial male attacking a in Social and reproductive physiology and behavior of the Neotropical cichlid fish Cichlasoma dimerus under laboratory conditions

Fig. 5. Reproductive territorial male attacking a non reproductive territorial male.

Fig. 6 in Social and reproductive physiology and behavior of the Neotropical cichlid fish Cichlasoma dimerus under laboratory conditions

Fig. 6. Plasma cortisol levels in reproductive territorial (RT)

Fig. 3 in Social and reproductive physiology and behavior of the Neotropical cichlid fish Cichlasoma dimerus under laboratory conditions

Fig. 3. Image showing aggressive physical contact between two males, referred to as mouth holding.

opencc-by-4.0Sep 2021View details →

Intragenerational Social Mobility and Preventive Behaviors regarding COVID-19: A Case Study of the Slum and Non-Slum Peoples in Dhaka City

Social Mobility and Preventive Behaviors regarding COVID-19 among the Slum and Non-Slum Peoples in Dhaka City

opencc-by-4.0May 2021View details →

ISIEA: An image database of social inclusion and exclusion in Asian young adults

Here we introduce an open-access, free, and standardized set of image stimuli, the image database of social inclusion/exclusion in Asian young adults (ISIEA), which is developed and validated by our lab for academic purposes in the field of social & affective processing especially social inclusion/exclusion studies.   This database contains a set of 164 images depicting social interaction scenarios under three categories of social contexts (social exclusion, social neutral, and social inclusion). Standardized assessments are provided for each image, including the traditional emotional dimensions of arousal and valence, the inclusion score which evaluates the level of perceived social inclusion, and the vicarious feeling scale which evaluates the level of affective feeling when you imagine yourself as the highlighted person in the image. Visual physical properties of each image are also provided, including luminance, contrast, complexity, and color parameters. Additionally, we offer the ratings of face component and context component for each image (see Zheng et al., 2021 below for details). These parameters (Appendix 1) would be helpful for image selection and control of confounding factors.   Note: This database is freely provided for only academic purpose (including laboratory research, journal publication, academic posters, conference exhibitions, etc.). Any commercial or other non-academic use is not allowed. It is allowable to make appropriate post-processing of the images (e.g., adjustment of brightness, contrast, color, clarity, and size) for research purpose, but not allowable to maliciously modify or deface the portraits in these images. We require to cite the paper of Zheng et al. (2021) properly when using the ISIEA. You are also welcomed to cite our other studies that have already used part of the images in the database as experimental materials.   Users in Mainland China can also download from the following link using Baidu Netdisk. This link allows you to select a specific category of image to download according to your needs. If you have any problems with download or application of the database, please feel free to contact Mr. Li via <a href="mailto:liyw07@outlook.com">liyw07@outlook.com</a>. You are also welcome to contact Prof. Zhang via <a href="mailto:zhangdd05@gmail.com">zhangdd05@gmail.com</a> for suggestions and collaboration.    Baidu Netdisk link: https://pan.baidu.com/s/1ekNEUxNk4ZmoZgqIWBOHNA Code: ISIE   Database instructions and citation: Zheng, Z., Li, S., Mo, L., Chen, W., & Zhang, D. (2022). ISIEA: An image database of social inclusion and exclusion in young Asian adults. Behavior research methods, 54(5), 2409–2421. <a href="https://doi.org/10.3758/s13428-021-01736-w">https://doi.org/10.3758/s13428-021-01736-w</a>   Previous related articles using these images: Zhao J, Mo L, Bi R, He Z, Chen Y, Xu F, Xie H, Zhang D. The VLPFC versus the DLPFC in downregulating social pain using reappraisal and distraction strategies. The Journal of Neuroscience, 2021, 41(6):1331-9.  <a href="https://doi.org/10.1523/JNEUROSCI.1906-20.2020">https://doi.org/10.1523/JNEUROSCI.1906-20.2020</a> Zhenhong He, Sijin Li, Licheng Mo, Zixin Zheng, Yiwei Li, Hong Li, Dandan Zhang. The VLPFC-engaged voluntary emotion regulation: Combined TMS-fMRI evidence for the neural circuit of cognitive reappraisal. The Journal of Neuroscience, 2023, 43(34):6046-6060. <a href="https://doi.org/10.1523/JNEUROSCI.1337-22.2023">https://doi.org/10.1523/JNEUROSCI.1337-22.2023</a> He Z, Liu Z, Zhao J, Elliott R, Zhang D. Improving emotion regulation of social exclusion in depression-prone individuals: A tDCS study targeting right VLPFC. Psychological Medicine, 2020, 50(16):2768-79.   <a href="https://doi.org/10.1017/S0033291719002915">https://doi.org/10.1017/S0033291719002915</a> Sijin Li, Jingxu Chen, Kexiang Gao, Feng Xu, Dandan Zhang. Excitatory brain stimulation over the left dorsolateral prefrontal cortex enhances voluntary distraction in depressed patients, Psychological Medicine, 2023, 53:6646-55. <a href="https://doi.org/10.1017/S0033291723000028">https://doi.org/10.1017/S0033291723000028</a> He Z, Lin Y, Xia L, Liu Z, Zhang D, Elliott R. Critical role of the right VLPFC in emotional regulation of social exclusion: A tDCS study. Social Cognitive and Affective Neuroscience, 2018, 13(4):357-66. <a href="https://doi.org/10.1093/scan/nsy026">https://doi.org/10.1093/scan/nsy026</a> Licheng Mo, Sijin Li, Si Cheng, Yiwei Li, Feng Xu, Dandan Zhang. Emotion regulation of social pain: Double dissociation of lateral prefrontal cortices supporting reappraisal and distraction. Social Cognitive and Affective Neuroscience, 2023,18(1), 1-10. <a href="https://doi.org/10.1093/scan/nsad043">https://doi.org/10.1093/scan/nsad043</a> He Z, Zhao J, Shen J, Muhlert N, Elliott R, Zhang D. The right VLPFC and downregulation of social pain: A TMS study. Human Brain Mapping, 2020, 41:1362-71. <a href="https://doi.org/10.1002/hbm.24881">https://doi.org/10.1002/hbm.24881</a>  Wenwen Yu, Yiwei Li, Xueying Cao, Licheng Mo, Yuming Chen, Dandan Zhang. The role of ventrolateral prefrontal cortex on voluntary emotion regulation of social pain. Human Brain Mapping, 2023, 44(13): 4710-4721. <a href="https://doi.org/10.1002/hbm.26411">https://doi.org/10.1002/hbm.26411</a> Cheng S, Qiu X, Li S, Mo L, Xu F, Zhang D. Different Roles of the Left and Right Ventrolateral Prefrontal Cortex in Cognitive Reappraisal: An Online Transcranial Magnetic Stimulation Study. Frontiers in human neuroscience, 2022, 16:928077. <a href="https://doi.org/10.3389/fnhum.2022.928077">https://doi.org/10.3389/fnhum.2022.928077</a> 王妹, 程思, 李宜伟, 李红, 张丹丹. 背外侧前额叶在安慰剂效应中的作用:社会情绪调节研究. 心理学报, 2023, 55(7):1063-3. <a href="https://doi.org/10.3724/sp.J.1041.2023.01063">https://doi.org/10.3724/sp.J.1041.2023.01063</a> 莫李澄, 郭田友, 张岳瑶, 徐锋, 张丹丹. 激活右腹外侧前额叶提高抑郁症患者对社会疼痛的情绪调节能力:一项TMS研究. 心理学报, 2021, 53(05):494-504. <a href="https://doi.org/10.3724/sp.J.1041.2021.00494">https://doi.org/10.3724/sp.J.1041.2021.00494</a> 于文汶, 王妹, 仇秀芙, 高可翔, 陈伟茂, 张丹丹. 腹外侧前额叶经颅磁刺激对社会疼痛的影响:拒绝敏感性和抑郁的调节作用. 中国临床心理学杂志, 2022, 30(04):985-990+972. <a href="https://doi.org/10.16128/j.cnki.1005-3611.2022.04.045">https://doi.org/10.16128/j.cnki.1005-3611.2022.04.045</a> Last Updated: 2023.12.14

opencc-zeroSep 2021View details →

Social groups constrain the spatiotemporal dynamics of wild sifaka gut microbiomes

Primates acquire gut microbiota from conspecifics through direct social contact and shared environmental exposures. Host behavior is a prominent force in structuring gut microbial communities, yet the extent to which group or individual-level forces shape the long-term dynamics of gut microbiota is poorly understood. We investigated the effects of three aspects of host sociality (social groupings, dyadic interactions, and individual dispersal between groups) on gut microbiome composition and plasticity in 58 wild Verreaux's sifaka (Propithecus verreauxi) from six social groups. Over the course of three dry seasons in a five-year period, the six social groups maintained distinct gut microbial signatures, with the taxonomic composition of individual communities changing in tandem among co-residing group members. Samples collected from group members during each season were more similar than samples collected from single individuals across different years. In addition, new immigrants and individuals with less stable social ties exhibited elevated rates of microbiome turnover across seasons. Our results suggest that permanent social groupings shape the changing composition of commensal and mutualistic gut microbial communities and thus may be important drivers of health and resilience in wild primate populations.

opencc-zeroSep 2021View details →

Social and abiotic factors differentially affect plumage ornamentation of young and old males in an Australian songbird

Both abiotic environmental conditions and variation in social environment are known to impact the acquisition of sexual signals. However, the influences of abiotic environmental and social factors are rarely compared to each other. Here we test the relative importance of these factors in determining whether and when male red-backed fairywrens (Malurus melanocephalus) moult into a known sexual signal, ornamented breeding plumage. One-year-old male red-backed fairywrens vary in whether or not they acquire ornamentation, whereas males age two and older vary in their timing of ornament acquisition. It is unclear whether these processes are determined by the same or different factors and we examine both events using a combination of long-term breeding records and non-breeding social networks. We found that one-year-old males that paired prior to the start of the breeding season were more likely to acquire ornamented plumage, but rainfall did not influence whether one-year-old males acquired ornamented plumage. Thus, for young individuals, social cues appear to play a larger role than abiotic environmental factors in determining ornament acquisition. For older males, timing of ornamented plumage acquisition was constrained by rainfall, with drier non-breeding seasons leading to poorer physiological condition and later moult dates. Thus, sexual signal variation in older males appears to be a condition-dependent trait, driven by abiotic environmental and physiological factors rather than social cues. These findings reveal that factors influencing sexual signal expression can vary with age when age classes exhibit different forms of signal variation. Our results suggest that social environment may drive sexual signal variation in young individuals, whereas abiotic environmental variation may drive sexual signal variation in older individuals.

opencc-by-4.0Jul 2021View details →

Supplementary dataset for The sociality of pathogenicity and virulence throughout Human pathogen diversity

This supplementary dataset provides the list of species included in each analysis and corresponding representative strain genomes used. There are two lists of species: one used for the comparative analysis of virulence factors and pathogenicity, and one used for the case fatality rate comparative analysis. For each set, the resulting annotations are provided in tab-delimited tables format, for both gene-level annotations, and summarised at species-level. These datasets are directly usable to replicate our analysis, using codes provided at <a href="https://github.com/CamilleAnna/CooperativePathogenicityVirulence_repo.git">https://github.com/CamilleAnna/CooperativePathogenicityVirulence_repo.git</a>. 1.1_pathogen_commensal_genomes_118.txt: list of pathogen and non-pathogen species and corresponding representative strain genome used in comparative analysis of virulence factors and pathogenicity. Fields: <ul> <li>species_id = species/strain id in MIDAS database</li> <li>genome_name = corresponding genome name in PATRIC database,</li> <li>genome_id = corresponding genome id in PATRIC database</li> <li>is_rep_genome = is genome representative strain in MIDAS database</li> <li>count_genomes = number of genomes for this species in MIDAS database</li> <li>genus = genus for species</li> <li>species = species name for plotting</li> <li>pathogen = binary variable of whether species was classified as pathogen or non-pathogen</li> <li>gram_profile = gram profile assigned to species (used for specifying gram profile in PSORTb pipeline), with p = gram-positive, n = gram-negative, OM+ = gram-positive with outer membrane.</li> <li> </li> </ul> 2.2_assembled_SPECIES_annotation.txt: assembled dataset for species included in comparative analysis of pathogenicity (n = 118 species). <ul> <li>Fields 1 to 3: genome used for analysis, with: <ul> <li>species_id = species/strain id in MIDAS database</li> <li>genus = genus for species</li> <li>species = species name for plotting.</li> </ul> </li> <li>Fields 4 to 13: genome annotations, with <ul> <li>gram_profile = species gram staining profile</li> <li>total_cds = proteome size</li> <li>is_victor_vf = number of CDS annotated as virulence factors in VICTOR database</li> <li>pathogen = pathogenic status</li> <li>other fields indicate the number of genes for this species annotated with each of the six forms of cooperation.</li> </ul> </li> </ul> 2.3_assembled_GENES_annotation.txt: gene-level annotations that were used to assemble the table “2.2_assembled_SPECIES_annotation.txt”. This dataset was used for the comparative analysis of virulence factors (n = 118 species, nrows = 367162 genes) total. Each CDS if flagged “1” if it was annotated with the 6 forms of cooperation, and whether it was recorded as a virulence factor in VICTOR database. “peg” and “product_patric” CDS name and annotation in PATRIC database.   3.2_cfr_SUPFAM_match: list of pathogen and non-pathogen species and corresponding representative strain genome used in comparative analysis of virulence factors and pathogenicity. Fields: <ul> <li>Legget_species: species name in Legget et al (2017) supplementary data table</li> <li>matching_supfam_id: corresponding strain code in SCOP database</li> <li>genome_name: corresponding genome name in PATRIC database</li> <li>genome_id: corresponding genome id in PATRIC database</li> <li>file_name_record: internal naming for annotations</li> <li>gram_profile: gram profile assigned to species (used for specifying gram profile in PSORTb pipeline), with p = gram positive, n = gram-negative, OM+ = gram-positive with outer membrane.</li> </ul>   4.1_assembled_CFR_SPECIES_annotation.txt: assembled dataset for species included in comparative analysis of case fatality rate (n = 50 species). Fields 1 to 10 are ecological data about species provided in Leggett et al (2017) supplementary tables. <ul> <li>Fields 11 to 13: genome used for analysis, with: <ul> <li>species_id = internal naming</li> <li>genome_id = corresponding PATRIC genome id</li> <li>matching_supfam_id = corresponding strain code in SCOP database</li> </ul> </li> <li>Fields 14 to 22: genome annotations, with: <ul> <li>gram_profile = species gram staining profile</li> <li>total_cds = proteome size</li> <li>is_victor_vf = number of CDS annotated as virulence factors in VICTOR database</li> <li>other fields indicate number of genes for this species annotated with each of the six forms of cooperation.</li> </ul> </li> </ul>   4.2_assembled_CFR_GENES_annotation.txt: gene-level annotations that was used to assemble the table “4.2_assembled_CFR_SPECIES_annotation.txt”, n = 50 species, nrows = 180754 genes total. Each CDS if flagged “1” if it was annotated with the 6 forms of cooperation, and whether it was recorded as a virulence factor in VICTOR database. “peg” and “product_patric” CDS name and annotation in PATRIC database.   midas_tree_renamed.newick: phylogeny used for comparative analyses of virulence factors and pathogenicity. We used the MIDAS phylogeny of PATRIC genomes, which we trimmed to our focus species (N = 118) and ultrametricised using chronopl function in ape package.   Supfam_cfr_tree.newick: phylogeny used for comparative analyses of virulence factors and pathogenicity. We used the SCOP database generated phylogeny which we ultrametricised using chronopl function in ape package.

opencc-by-4.0Sep 2021View details →

Exploring Social Metacognition simulation data

These datasets are generated by running computer simulation code associated with the [Exploring Social Metacognition](https://github.com/mjaquiery/oxforddown) thesis. These datasets are included to save time when creating the thesis -- the code will first look for locally cached files, then download these files to the cache, and finally try to regenerate these data itself.

openDec 2019View details →

Dataset relating the Social activity of Open Research Data on ResearchGate

The potential of Open Research Data (ORD) within the context of open science and digital scholarship can be frustrated if data remains unused. Although current research has investigated the way ORD is being published,  researchers’ behaviour of ORD publishing and sharing on academic social networks (ASN) remains insufficiently explored. The research to which this dataset is connected aims to illustrate some parameters of social activity around self-archived ORDs on ResearchGate. The study analyses whether the ORDs publication leads to social activity (reads and citations) around the ORDs and their linked published articles, including eventual associations between the social activity and the researchers’ profile (scientific domain, gender, region, professional position, reputation) as well as the quality of the ORD published. The current dataset is composed by: A- The .csv file, extracted as a random sample of 752 ORD items from ResearchGate. The dataset has been polished and anonymized. The variables relating the researchers' profiles and citations to the ORD lined research were got from the researchers' profiles and published research. However, for the purpose of anonymisation, these variables have been coded and the original information removed. B- The codebook explaining the variables and metrics contained in the file (A) C- The R script. This script contains a number of explorations not reported in the final paper. The quantitative techniques applied include descriptive statistics, logistic regression and K-means cluster analysis. D- Five tables, three figures and two annexes (Logistic Regression I and II) created over the basis of the dataset (A) The results have been interpreted in terms of three main aspects. <ul> <li>Firstly, there is still an underdeveloped social activity around self-archived ORD in ResearchGate (operationalized as reads and citations) overall and in spite of the published ORDs quality.</li> <li>Secondly, it was found an uncovering of the relevance of the moderating effects over ORD, which spots traditional dynamics within the “innovative” practice of engaging with data practices.</li> <li>Thirdly, a rather similar situation of ResearchGate as ASN with regard to other data platforms and repositories in terms of social activity around ORD was detected.</li> </ul> The potential of Open Research Data (ORD) within the context of open science and digital scholarship can be frustrated if data remains unused.

opencc-by-4.0Oct 2021View details →

Data from: Global migration is driven by the complex interplay between environmental and social factors

The datasets were produced in the following article. When using the data, please use the following citation: Niva V, Kallio M, Muttarak R, Taka M, Varis O, Kummu M. 2021. Global migration is driven by the complex interplay between environmental and social factors. Environmental Research Letters. <a href="https://doi.org/10.1088/1748-9326/ac2e86">https://doi.org/10.1088/1748-9326/ac2e86</a> The data include the following files: AC.tif             Composite index computed based on the four AC variables by taking a mean over the respective variables:             economy.tif                         Downscaled and min-max normalized income data.             education.tif                         Min-max normalized education data.             governance.tif                         Min-max normalized governance data.             health.tif                         Min-max normalized health data. For all of the above data, 0 and 1 represent the lowest and highest capacity, respectively. ES.tif             Composite index computed based on the four ES variables by taking a mean over the respective variables:             foodProdScarcityScaled.tif                         Food production scarcity data based on food production data.             droughtRiskScaled.tif                         Computed and scaled drought risk based on SPEI index.             waterRiskScaled.tif                         Computed and scaled water risk data based on three water stress indices. For all of the above data 0 and 1 represent the lowest and highest stress, respectively. Kindly note that data for natural hazards is available at its source (please see the list below).  class_raster.tif             Spatial representation of the classification matrix. cntryID.gpkg             Country polygons with country IDs. cntry_raster_masked.tif            Country raster with country IDs. countriesRegionsZones.csv            Country groups and countries. Dataset specifications: spatial extent: -180, 180, -90, 90 spatial resolution: 5 arc-min (0.083333333 degrees) projection: long/lat WGS84 no data value: NA   Original data to produce the above indicators and to replicate the full analysis is available at the following sources: Net-migration data (30 arc-sec resolution): https://doi.org/10.7927/H4319SVC Natural hazards: https://datadryad.org/stash/dataset/doi:10.5061/dryad.h2v2398 Governance effectiveness: https://datadryad.org/stash/dataset/doi:10.5061/dryad.h2v2398 Human Development Indicators (income, education, health): <a href="https://doi.org/10.1038/sdata.2019.38">https://doi.org/10.1038/sdata.2019.38</a> Water risk indicators: <a href="https://doi.org/10.46830/writn.18.00146">https://doi.org/10.46830/writn.18.00146</a> Drought (SPEI index): <a href="https://doi.org/10.1175/2009JCLI2909.1">https://doi.org/10.1175/2009JCLI2909.1</a> Food production: <a href="https://doi.org/10.1038/nature11420">https://doi.org/10.1038/nature11420</a> Population data: <a href="https://doi.org/10.1177%2F0959683609356587">https://doi.org/10.1177/0959683609356587</a>

opencc-by-4.0Mar 2020View details →

The NGI Forward semantic social network data

The <a href="https://research.ngi.eu/">NGI Forward project</a> is part of the European Union's <a href="https://www.ngi.eu">Next Generation Internet Initiative</a>. It is meant to provide European institutions with policy advice for how to shape the future, human-centric Internet. As part of it, a team of ethnographers coded a specially convened online conversation, then arranged its results into a semantic social network. This dataset encodes that conversation, as well as the results of the coding exercise, in raw data form for further exploration and replication purposes. The dataset is pseudonymized. <ul> <li><a href="https://exchange.ngi.eu/">Funnel website</a> of the project.</li> <li><a href="https://journals.sagepub.com/doi/10.1177/1525822X20908236">About semantic social networks</a>.</li> <li><a href="https://edgeryders.eu/t/long-term-ssna-data-storage-documentation-manual/12786">Data export and documentation process</a> (contains links to the code used to export the data)</li> </ul>

opencc-zeroOct 2021View details →

Social dominance status is associated with differences in spatial cognitive flexibility in wild mountain chickadees

Social dominance has long been used as a model to investigate social stress. However, many studies using such comparisons have been performed in captive environments. These environments may produce unnaturally high antagonistic interactions, exaggerating the stress of social subordination and any associated adverse consequences. One such adverse effect concerns impaired cognitive ability, often thought to be associated with social subordination. Here, we tested whether social dominance rank is associated with differences in spatial learning and memory and in reversal spatial learning (flexibility) abilities in wild food-caching mountain chickadees at different montane elevations. Higher dominance rank was associated with higher spatial cognitive flexibility in harsh environments at higher elevations, but not at lower, milder elevations. In contrast, there were no consistent differences in spatial learning and memory ability associated with dominance rank. Our results suggest that spatial learning and memory ability in specialized food-caching species is a stable trait resilient to social influences. Spatial cognitive flexibility, on the other hand, appears to be more sensitive to environmental influences including social dominance. These findings contradict those from laboratory studies and suggest that it is critical to investigate the biological consequences of social dominance under natural conditions.

opencc-zeroOct 2021View details →

Daily ranging and den usage patterns structure fission-fusion dynamics and social associations in spotted hyenas

Environment structure often shapes social interactions. Spatial attractors that draw multiple individuals may play a particularly important role in dispersed groups, where individuals must first encounter one another to interact. We use GPS data recorded simultaneously from five spotted hyenas (Crocuta crocuta) within a single clan to investigate how communal dens and daily ranging patterns shape fission-fusion dynamics (subgroup splits and merges). We introduce a species-general framework for identifying and characterizing dyadic fission-fusion events and describe a taxonomy of ten possible configurations of these events. Applying this framework to the hyena data illuminates the spatiotemporal structure of social interactions within hyenas' daily routines. The most common types of fission-fusion events involve close approaches between individuals, do not involve co-travel together, and occur at the communal den. Comparison to permutation-based reference models suggests that den usage structures broad-scale patterns of social encounters, but that other factors influence how those encounters unfold. We discuss the dual role of communal dens in hyenas as physical and social resources, and suggest that dens are an example of a general "social piggybacking" process whereby environmental attractors take on social importance as reliable places to encounter conspecifics, causing social and spatial processes to become fundamentally intertwined.

opencc-zeroOct 2021View details →

Data from: Crocodile social environments dictated by male philopatry

Examining the social behaviors of solitary species can be challenging due to the rarity in which interactions occur and the large and often inaccessible areas which these animals inhabit. As shared space-use is a prerequisite for the expression of social behaviors, we can gain insights into the social environments of solitary species by examining the degree of spatial overlap between individuals. Over a 10-year period, we examined how spatial overlap amongst 105 estuarine crocodiles Crocodylus porosus was influenced by season, sex and movement tactic. We discovered that crocodiles displayed highly consistent spatial overlaps with conspecifics between months and across years. Furthermore, male crocodiles that exhibited a greater degree of site fidelity displayed more stable social environments, while females and males that were less site-attached had more dynamic social environments with spatial overlaps between conspecifics peaking during the mating season. Our results demonstrate how long-term tracking of multiple individuals within the same population can be used to quantify the spatial structure and social environment of cryptic and solitary species.

opencc-by-4.0Oct 2021View details →

Replication files for 'Are social and environmental clauses a tool for favoritism? Analysis of French public procurement contracts'

This zip file contains the replication files for the manuscript 'Are social and environmental clauses a tool for favoritism? Analysis of French public procurement contracts'. It includes : <ol> <li>one Rmd file providing an exhaustive R Code replicating the empirical results</li> <li>one md file providing Pyhton Code for the simulation</li> <li>two csv files containing all the data used in the paper</li> </ol>

opencc-by-4.0May 2022View details →

CoMix social contact data (Croatia)

CoMix social contact data for Croatia. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Goranka Petrović at the Croatian Institute of Public Health (CIPH).

opencc-by-4.0Nov 2022View details →

Data for the article "Management of social behaviour of domestic yaks in Manang, Nepal: an etho-ethnographic study"

Data for the paper "Social behaviour of domestic yaks in Manang, Nepal: an etho-ethnographic study". ANimated GIFs, GPS data, activity data and proximity data. Herdsmen use different techniques, as per varying geographies and cultures, to keep the cohesion within herds and avoid animals getting lost or predated. However, there is no study on the social behaviour of yaks and on herdsmen management practices. Therefore, this ethology study was initiated by ethnographic inquiries. We collected data from two herds living at the same settlement (Yak kharka, 4,100 m altitude, Nepal) by equipping them with loggers. One of the herdsman used the tether rope while other did not. Moreover, the Thaku herd had a more proactive shepherd than the Phurba one. In each herd, 17 animals were equipped with one actigraph wgt3x-BT to measure activity using accelerometer and spatial associations using proximity recorder. One of the herds was equipped with GPS (N=11) as well. Using GPS locations and activity, we showed that the two herds were cohesive and synchronised their activities but the herd with the tether rope was more cohesive.