Find research datasets worth reusing

opencc-by-4.0Sep 2022View details →

Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.

Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees  among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.

opencc-by-4.0Sep 2022View details →

Data and script for "Dispersal syndromes in challenging environments: a cross-species experiment"

Datset and R scripts for all analysis of the manuscript "Dispersal syndromes in challenging environments: a cross-species experiment" published in Ecology Letters.

opencc-by-nc-4.0Jan 2022View details →

Figure 3 in Seasonality effect on ant (Hymenoptera: Formicidae) activity in an ecotonal environment in the state of Piauí, Brazil

Figure 3. Non-metric multidimensional scaling – NMDS of ant composition according to seasonality in an ecotonal area between the Caatinga and Cerrado biomes at Floriano, Piauí, Brazil.

opencc-by-nc-4.0Jan 2022View details →

Figure 2 in Seasonality effect on ant (Hymenoptera: Formicidae) activity in an ecotonal environment in the state of Piauí, Brazil

Figure 2. Number of ant species (average values) collected according to the seasons studied in a transition area between the Caatinga and Cerrado biomes in Floriano, Piauí, Brazil. The lines link the number of species caught in each collection point.

Adaptive effects of parental and developmental environments on offspring survival, growth, and phenotype

Phenotypic adjustments to environmental variation are particularly relevant to cope with putative environmental mismatches often imposed by natal dispersal. We used an inter-generational cross-transplant field-based experiment to evaluate the morphological and physiological effects of parental and post-settlement water flow environments on the orange-fin anemonefish Amphiprion chrysopterus through ontogeny (at pre- and post-settlement stages). Offspring born from parents under high water flow had an 18% higher caudal fin aspect ratio (a compound measure of shape) at the pre-settlement stage, 10% slower growth after settlement, and 55% lower survival after settlement compared to offspring from low-water-flow parents. At the pre-settlement stage, caudal fin length was determined by parental caudal fin length. At the post-settlement stage, fish survived equally well with similar phenotypes in both high- and low-developmental-flow environments. However, results suggest potential developmental phenotypic plasticity in caudal fin length, which increases more under low water flow during development. After settlement growth was the only morphological or physiological trait that was associated with parental water flow, which was lower from parents under high flow, as was survival. These results give important insights into the parental contribution, both genetic and non-genetic, in determining early offspring phenotype and subsequent growth and survival. Our results also suggest that offspring may possess the flexibility to cope with a wide range of local environments including those different from their parents. Overall, the findings of this study show the fitness consequences of living in different environments and the likely trade-offs between parental and offspring fitness in a wild population.

Dimensionality and modularity of adaptive variation: Divergence in threespine stickleback from diverse environments

Populations are subjected to diverse environmental conditions that affect fitness and induce evolutionary or plastic responses, resulting in phenotypic divergence among populations. Some authors contend such divergence is concentrated along a single major axis of trait covariance, even if that axis does not lead populations directly toward fitness optimum. Other authors argue that divergence can occur readily along many phenotype axes at the same time. We use populations of threespine stickleback (Gasterosteus aculeatus) from 14 lakes with contrasting ecological conditions to find some resolution along the continuum between these two extremes. Unlike many previous studies, we included several functional suites of traits (defensive, swimming, trophic) potentially subject to different sources of selection. We find that populations exhibit dimensionality of divergence that is high enough to preclude a history of constraint along a single axis – both for divergence in multivariate mean trait values and for the structure of trait covariances. Dimensionality varied among trait suites and were strongly influenced by the inclusion of specific traits, and integration of trait suites varied between populations. We leverage this variation into new insights about the process of divergence and suggest that similar analyses could increase understanding of other adaptive radiations.

Supplementary dataset for: Genome-wide signatures of adaptation to extreme environments in red algae

The high temperature, acidity, and heavy-metal-rich environments associated with hot springs have a major impact on biological processes in resident cells. Understanding the origin and evolution of adaptations to these extreme environments has long intrigued scientists. One group of photosynthetic eukaryotes, the Cyanidiophyceae (Rhodophyta), has successfully thrived in hot springs and associated sites (e.g., endolithic) worldwide for >1 billion years. These poly-extremophilic red algae are models for studying a wide range of topics in cell evolution. Here, we analyze chromosome-level assemblies from three Cyanidiophyceae species, the Cyanidiales Cyanidium caldarium 063 E5 and Cyanidiococcus yangmingshanensis 8.1.23 F7 and the Galdieriales Galdieria sulphuraria 108.79 E11, to gain insights into environmental adaptation. We find that horizontal gene transfer (HGT) has played a major role in this process, as has other mechanisms such as subtelomeric gene duplication (STGD) of functional genes and the elimination of canonical eukaryotic traits, including microRNA processing. These extremophilic adaptation strategies are shared by the two major orders, Cyanidiales and Galdieriales, but most of the specialized genes evolved independently in each lineage. Our findings provide significant and novel insights into Cyanidiophyceae adaptation to hot-spring environments and demonstrate how the genomic consequence of extremophilic adaptation varies among the taxa in different microhabitats. The latter result underlines the power of local selection to shape eukaryotic genomes that face vastly different stresses, although the cells may live in close proximity.

Data and code for: Social phenotype-dependent selection of social environment in wild great and blue tits: An experimental study

There is growing evidence that individuals actively assess the match between their phenotype and their environment when making habitat choice decisions (so-called matching habitat choice). However, to our knowledge, no studies have considered how the social environment may interact with social phenotype in determining habitat choice, despite habitat choice being an inherently social process and growing evidence for individual variation in sociability. We conducted an experiment using wild great and blue tits to understand how birds integrate their social phenotype and social environment when choosing where and how to feed. We used programmable feeders to (i) record social interactions and estimate social phenotype and (ii) experimentally manipulate the local density experienced by birds of differing social phenotype. By tracking feeder usage, we estimated how social environment and social phenotype predicted feeder choice and feeding behaviour. Both social environment and social phenotype predicted feeder usage, but a bird's decision to remain in a particular social environment did not depend on their social phenotype. In contrast, for feeding behaviour, responses to the social environment depended on social phenotype. Our results provide rare evidence of matching habitat choice and shed light on the dependence of habitat choice on between-individual differences in social phenotype.

opencc-byJan 2020View details →

Stylized Aztec Environment

I created a small capture the flag map in a stylized Aztec style in 2,5 weeks. I created the textures in Substance Painter and the normals in Zbrush. The environment are Aztec ruins with broken pieces and plants growing. Model is made with student license, do not use it for commercial use. Source: Objaverse 1.0 / Sketchfab

opencc-byJul 2020View details →

The Port of Dover - Environment Agency LiDAR DSM

A 3-dmensional visualisation of the port of Dover, including Dover Castle, the Roman lighthouse, Fort Burgoyne, North Centre Bastion, and Drop Redoubt. Data from the Environment Agency (1 m DSM LiDAR data), processed using QGIS and Planlauf Terrain. Source: Objaverse 1.0 / Sketchfab

opencc-byApr 2020View details →

Fontana di Trevi environment photogrammetry scan

Fontana di Trevi environment photogrammetry scan The Trevi Fountain (Italian: Fontana di Trevi) is a fountain in the Trevi district in Rome, Italy, designed by Italian architect Nicola Salvi and completed by Giuseppe Pannini and several others. Standing 26.3 metres (86 ft) high and 49.15 metres (161.3 ft) wide, it is the largest Baroque fountain in the city and one of the most famous fountains in the world. The fountain has appeared in several notable films, including Roman Holiday, Federico Fellini's La Dolce Vita, the eponymous Three Coins in the Fountain, The Lizzie McGuire Movie, and Sabrina Goes to Rome. https://en.wikipedia.org/wiki/Trevi_Fountain Source images from this vídeo from Nils Astrologo and other public available sources https://www.youtube.com/watch?v=3-TP6KrgWjA Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Aug 2017View details →

Alligator Reef checklist.xlsx: the spreadsheet version of the checklist of Alligator Reef fishes, from Starck, W.A., Estapé C.J. & Morgan Estapé, A. (2017) The fishes of Alligator Reef and environs in the Florida Keys: a half-century update. Journal of the Ocean Science Foundation, 27, 74–117.

Alligator Reef checklist.xlsx: the spreadsheet version of the checklist of Alligator Reef fishes, from Starck, W.A., Estapé C.J. & Morgan Estapé, A. (2017) The fishes of Alligator Reef and environs in the Florida Keys: a half-century update. Journal of the Ocean Science Foundation, 27, 74–117.

opencc-by-4.0Aug 2017View details →

AlligatorReefPhotos.pdf: a selection of images of various reef habitats on Alligator Reef, Florida Keys, from both the 1960s and today, for Starck, W.A., Estapé C.J. & Morgan Estapé, A. (2017) The fishes of Alligator Reef and environs in the Florida Keys: a half-century update. Journal of the Ocean Science Foundation, 27, 74–117.

AlligatorReefPhotos.pdf: a selection of images of various reef habitats from both the 1960s and today, for Starck, W.A., Estapé C.J. & Morgan Estapé, A. (2017) The fishes of Alligator Reef and environs in the Florida Keys: a half-century update. Journal of the Ocean Science Foundation, 27, 74–117.

opencc-by-4.0Aug 2017View details →

Species Photos.zip Archive of fish species images for the publication of: Starck, W.A., Estapé C.J. & Morgan Estapé, A. (2017) The fishes of Alligator Reef and environs in the Florida Keys: a half-century update. Journal of the Ocean Science Foundation, 27, 74–117.

Species Photos.zip Archive of fish species images for the publication of: Starck, W.A., Estapé C.J. & Morgan Estapé, A. (2017) The fishes of Alligator Reef and environs in the Florida Keys: a half-century update. Journal of the Ocean Science Foundation, 27, 74–117. 323 images, 318 species total,(5 species of Pomacentridae have pictures of both juvenile and adult phases) Carcharodon carcharias screen grab from video* Centropristis ocyurus photo by C.Wangen Dasyatis centroura screen grab from video by Ed. Martin Diapterus sp. photo by Ed Martin. All other photos taken by Carlos Estapé and Allison Estapé in the study area (319 images of 314 species) *YouTube video - Snorkelers Spot Great White Shark Off Islamorada, https://www.youtube.com/watch?v=50l2grfaNQ4

opencc-by-4.0Oct 2017View details →

Concept spread results for 2 concept environments

Raw data for multiple concepts spreading within a network. We have two concepts spreading, Concept 0, which is our target concept, and Concept 1 which is the concept that we can control. Concept 0 selects its seeds randomly. Concept 1 selects seeds based on chosen heuristic. Heuristics have a number ID for ease of labelling files. The following numbers are used within this data: 0 - Random selection 2 - Single Discount 3 - Degree 9 - Degree Discount 16 - MPG 17 - MoBoo File names follow this format: [number of seeds]_[number of nodes]_[heuristic number]_[Relationship strength * 10]_[average LT threshold * 10]_[IC probability of infection * 100]_[burn in time]_[run number]_[network type]_[network characteristic]_[controllable Concept]Boost[target Concept].txt So, for example, if we are performing run 38 on a 25000 node small-world graph, with a seed set size of 100, clustering exponent of 0.25, burn in time of 2 time steps, the controllable concept selecting seeds using degree discount, both concepts using the independent cascade model of spread, with a probability of infection of 0.1, a LTM average threshold of 0.8 and relationship strength of 0.2 the file would be: 100_25000_9_2_80_10_2_38_SW_25_ICBoostIC.txt Files follow this format: 10 line preamble listing the parameters of the run/runs Dashed line break "Run #" where # is the current run number Time in milliseconds of start "Timestep n" - n starting at 0 "Infections [conceptType]0: [Number of infected nodes in current time step for target]" "Infections [conceptType]1: [Number of infected nodes in current time step for controllable]" These three lines repeat for each time step. Before a final result heading, with the final infections. Time in milliseconds that run ended. Dashed line divider. Then, if the file contains a single run the file will end or, if it contains multiple runs, will proceed to the next run.

opencc-by-4.0Oct 2017View details →

User Driving Recordings in Simulated Environment for Manoeuvre Anticipation

This is a dataset acquired with the Euro Track Simulator 2 for the evaluation of driver intention based on face tracking and vehicular data. For each subject we collected the environment video and the face looking video plus the telemetry expressed in JSON. For each manoeuvre we provide the 5 seconds before. This dataset has been used for evaluating a technique of Domain Adversarial Recurrent Neural Network in the paper "Adaptive Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks"

opencc-by-4.0Apr 2024View details →

Harnessing interactions between traits and the environment to improve predictions of ecosystem functioning

The data correspond to the manuscript entitled "Harnessing interactions between traits and the environment to improve predictions of ecosystem functioning". Data needed to reproduce the figure 2 about springtails colonisation of defaunated soil blocks, from two different environments (forest or meadow), with the springtail species classified according to the supposed dispersal ability. Species with long legs and antennae, a well-developed jumping apparatus (furcula), and a complete visual apparatus were considered to be able to disperse more rapidly on their own and were thus categorized as “fast” dispersers. Other species with reduced locomotor and vision organs were categorized as “slow” dispersers (Ponge et al. 2006a). The "number of individuals" corresponds to the number of individuals found in each defaunated soil block after one week in the initial data set (Auclarc et al., 2009). Ponge J-F, Dubs F, Gillet S, et al. 2006a. Decreased biodiversity in soil springtail communities: the importance of dispersal and landuse history in heterogeneous landscapes. Soil Biol Biochem 38: 1158–61. Auclerc A, Ponge JF, Barot S, and Dubs F. 2009. Experimental assessment of habitat preference and dispersal ability of soil springtails. Soil Biol Biochem 41: 1596–604.

opencc-zeroApr 2024View details →

Data from: Influences of ski-runs, meadow management and climate on the occupancy of reptiles and amphibians in a high-altitude environment of Italy

Alpine ecosystems harbour a rich and highly-specialized biodiversity which is particularly susceptible to anthropogenic disturbances such as habitat loss and fragmentation as well as to climate change. Combined with other forms of land-use conversion, construction and maintenance of ski resorts can have severe consequences on alpine biodiversity. In this study, we show how one amphibian and two reptile species, namely Rana temporaria, Zootoca vivipara and Vipera berus, respond to such impacts by means of a multi-season occupancy analysis. We found all three species both in and outside ski-runs, showing that these habitats do not necessarily preclude their occurrence. Contrarily, this is influenced more by microhabitat availability, such as ground vegetation, humid areas, and rock cover, rather than by macro-characteristics like elevation or habitat type. Moreover, we found a climatic influence on the year-to-year occupancy change of the species, with activity-months conditions being more relevant than overwintering ones. Our results demonstrate how, in the specific case of reptiles and amphibians, ski resorts do not necessarily limit species' occurrence and that a mild series of management actions might secure the species' persistence in the area.

opencc-zeroMay 2024View details →

Seasonal dynamics in the mammalian microbiome between disparate environments

Host-associated bacterial microbiomes can facilitate host acclimation to seasonal environmental change and are hypothesized to help hosts cope with recent anthropogenic environmental perturbations (e.g., landscape modification). However, it is unclear how recurrent and recent forms of environmental change interact to shape variation in the microbiome. The majority of wildlife microbiome research occurs within a single seasonal context. Meanwhile, the few studies of seasonal variation in the microbiome often restrict focus to a single environmental context. By sampling urban and exurban eastern grey squirrel populations in the spring, summer, autumn, and winter, we explored whether seasonal rhythms in the grey squirrel gut microbiome differed across environments using a 16S amplicon sequencing approach. Differences in the microbiome between urban and exurban squirrels persisted across most of the year, which we hypothesize is linked to anthropogenic food consumption; but we also observed similarities in the urban and exurban grey squirrel microbiome during the autumn, which we attribute to engrained seed caching instincts in preparation for the winter. Host behaviour and diet selection may therefore be capable of maintaining similarities in microbiome structure between disparate environments. However, the depletion of an obligate host mucin glycan specialist (Akkermansia) during the winter in both urban and exurban squirrels was among the strongest differential abundance patterns we observed. In summary, urban grey squirrels showed different seasonal patterns in their microbiome than squirrels from exurban forests, however, in some instances host behaviour and physiological responses might be capable of maintaining similar microbiome responses across seasons.