Data for: Imbabura volcano (Ecuador): The influence of sub-volcanic slope on the structural development of stratovolcanoes during strike-slip faulting
Contributors: S. Daniel Andrade, Benjamin van Wyk de Vries, Claude Robin
... This is a geospatial vector layer containing the geology of Imbabura volcano, as presented in the paper.
Data for: Effects of Curricular Emphasis in College on the GRE and its Impact on the Gender Gap in Performance
Contributors: Jamie Tock, Karl Ericsson
... The attached dataset was referenced to complete the three path analytic models performed for this study. The complete syntax for each of the three models and dataset are also included on the project page on osf.io, and is listed under the title of the manuscript. Any other questions can be forwarded to the corresponding author for this manuscript.
The Effect of Family Socioeconomic Status on Career Adaptability:The Chain Mediating Role of Social Network and Tacit Knowledge
Contributors: Chunna Hou
... We investigated the chain mediating role of social network and tacit knowledge in family socioeconomic status affecting career adaptability. Previous literatures have shown that family SES as an environmental factor has long been controversial on the impact of career adaptability; the reason for mixed results can be attributed to the neglect of indirect effects. To fill this gap, we explore the indirect effect of family SES on career adaptability within the framework of career capital theory, by investigating the mediation role of capital variables. We distributed family SES questionnaire, social network questionnaire, tacit knowledge scale, and career adaptability scale in four universities in China. A total of 1,678 valid participants were obtained. Mplus7.0 structural equation software was used for the statistical analysis, and the following results were obtained. (1) Two simple mediation models of the effect of family SES on students’ career adaptability show that both family social network and tacit knowledge are mediator variables. (2) The integrated chained intermediation model shows that the indirect impact of family SES on career adaptability is significant only through social networks to tacit knowledge. (3) In the context of the Chinese urban-rural structure, social networks play a greater indirect role for rural college students in this chained intermediary model, while tacit knowledge plays a greater indirect role for urban college students.
Contributors: Ranjit Deshmukh, Grace Wu
... These data were created as part of the publication: Deshmukh R, Wu G C, Callaway D, Phadke A. (2018) "Geospatial and techno-economic analysis of wind and solar resources in India". The data set includes 3 shape files for wind, solar photovoltaic, and concentrated solar power technologies. The shape files consist of potential project opportunity areas (POAs) for each of the technologies. For each POA, which is 5 x 5 km2 or smaller in size, we calculated various attributes including mean renewable resource quality, levelized cost of generation based on that resource quality, levelized cost for transmission connection to the nearest substation, levelized cost for road connection, distances to nearest substation, road, load center, and water body, water stress (important consideration for solar resources), and electricity generation and installed capacity potential for that land parcel. The description of the attributes in the shape files is included in a pdf file. The abstract for the paper, which summarizes our findings is as follows: Using geospatial and economic analysis, we identify abundant renewable resources in India - 850-3,400 GW for onshore wind, 1,300-5,200 GW for utility-scale solar photovoltaic (PV), 160-620 GW for concentrated solar power (CSP, with 6h-storage). However, these resources are concentrated in the western and southern regions. Deriving capital costs from India's 2017-18 auction prices, we estimate the 5th and 95th percentiles of levelized costs of energy generation ranging from USD 47-52 per MWh for solar PV and USD 42-62 per MWh for wind. Karnataka, Maharashtra, Tamil Nadu, and Telangana are the best states for access to high-voltage substations, but transmission investments in Gujarat, Rajasthan, Andhra Pradesh, and Madhya Pradesh are needed to harness signicant renewable resources. More than 80% of wind resources lie on agricultural lands where dual land use strategies could encourage wind development and avoid loss of agriculturally productive land. Approximately 90% of CSP resources and 80% of solar PV resources are in areas experiencing high water stress, which can severely restrict deployment unless water requirements are minimized. Finally, we find co-location potential of at least 110 GW of wind and 360 GW of solar PV, which together could meet 35% of electricity demand in 2030.
Contributors: Ben Phalan
... Geographic information systems (GIS) shapefile identifying classes of land ownership within the Northwest Forest Plan region (plus a 50 km buffer) in the United States of America, including parts of the states of Washington, Oregon and California. The ownership categories identified are: federal, state, private industrial, private non-industrial, private conservation, indian, other and unknown. This dataset should be regarded as preliminary, has no official status, and the creator takes no responsibility for any errors. The layer has been clipped to state boundaries, and to within a 50 km buffer of the NWFP boundary. The dataset was developed to investigate the trajectories of vegetation change (older forests and early-seral ecosystems) and changes in bird populations within different ownership categories before and after the implementation of the Northwest Forest Plan. This analysis is described in a paper which will be linked here when published.
Contributors: A. Deus
... This core research paper analyses 260 orientations of datable mosques from the Turkish period (Seljuk to Ottoman). In a neutral research environment, it validates space archaeology for the application in mosque analysis of early Islam. It aims at identifying the thought process of determining qibla orientations by Turks. The collateral findings are significant: it turns out that the majority of Turkish mosques appear to constitute Monuments of Jihad. They are oriented toward battlefields. Mosque orientations open up an entirely new paradigm for scientifically reproducible core research in Islamic architecture.
Contributors: Janet Nwaogu
... A geospatial analysis of mental health in construction industry research was carried out using CiteSpace. The Keyhole Markup Language (KML) function was used, it was then converted into animated maps with the Google Earth application. It provides author's geographic location and their publications. The Google Earth map provides for exploring author's location and collaborations. Also, through a click on the DOI link, the articles of the authors can be assessed directly. The red lines signify co-authored papers in recent years while the green lines tells of older collaborations.
Impact of Childhood Psychological Abuse on Cyberbullying Attitudes of College Students: Chaining Mediation of Gratitude and Moral Personality
Contributors: Liang Chen
... (1) Cyberbullying attitude scores were significantly higher in boys than in girls. (2) Childhood psychological abuse was significantly positively correlated with cyberbullying attitudes of college students. (3) Childhood psychological abuse can exert an impact on cyberbullying attitudes of college students through the mediating role of gratitude and the negative moral personality traits. This role consists of three paths, namely, gratitude, separate mediation of negative moral personality traits, and chaining mediation of gratitude–negative moral personality trait.
Kernel Density Analyses of Coral and Sponge Catches from Research Vessel Survey Data for Use in Identification of Significant Benthic Areas
Contributors: Ellen Kenchington, Camille Lirette, Javier Murillo-Perez, Lindsay Beazley, Javier Guijarro-Sabaniel, vonda wareham, Kent Gilkinson, Mariano Koen-Alonso, Hugues Benoit, Hugo Bourdages
... Kernel density estimation (KDE) utilizes spatially explicit data to model the distribution of a variable of interest. It is a simple non-parametric neighbour-based smoothing function that relies on few assumptions about the structure of the observed data. It has been used in ecology to identify hotspots, that is, areas of relatively high biomass/abundance, and in 2010 was used by Fisheries and Oceans Canada to delineate significant concentrations of corals and sponges. The same approach has been used successfully in the Northwest Atlantic Fisheries Organization (NAFO) Regulatory Area. Here, we update the previous analyses with the catch records from up to 5 additional years of trawl survey data from Eastern Canada, including the Gulf of St. Lawrence. We applied kernel density estimation to create a modelled biomass surface for each of sponges, small and large gorgonian corals, and sea pens, and applied an aerial expansion method to identify significant concentrations of theses taxa. We compared our results to those obtained previously and provided maps of significant concentrations as well as point data co-ordinates for catches above the threshold values used to construct the significant area polygons. The borders of the polygons can be refined using knowledge of null catches and species distribution models of species presence/absence and/or biomass.
Delineation of Coral and Sponge Significant Benthic Areas in Eastern Canada Using Kernel Density Analyses and Species Distribution Models
Contributors: Ellen Kenchington, Lindsay Beazley, Camille Lirette, Javier Murillo-Perez, Javier Guijarro-Sabaniel, vonda wareham, Kent Gilkinson, Mariano Koen-Alonso, Hugues Benoit, Hugo Bourdages
... Significant Benthic Areas are defined in DFO’s Ecological Risk Assessment Framework (ERAF) as “significant areas of cold-water corals and sponge dominated communities”, where significance is determined “through guidance provided by DFO-lead processes based on current knowledge of such species, communities and ecosystems”. Here we provide maps of the location of significant concentrations of corals and sponges on the east coast of Canada produced through quantitative analyses of research vessel trawl survey data, supplemented with other data sources where available. We have conducted those analyses following a bio-regionalization approach in order to facilitate modelling of similar species, given that many of the multispecies surveys do not record coral and sponge catch at species level resolution. The taxa analyzed are sponges (Porifera), large and small gorgonian corals (Alcyonacea), and sea pens (Pennatulacea). We applied kernel density estimation (KDE) to create a modelled biomass surface for each of those taxa, and applied an aerial expansion method to identify significant concentrations, following an approach first applied in 2010 to this region. We compared our results to those obtained previously. KDE uses only geo-referenced biomass data to identify “hot spots”. The borders of the areas so identified can be refined using knowledge of null catches and species distribution models that predict species presence-absence and/or biomass, both incorporating environmental data. We present such predictive models produced using a random forest machine-learning technique, and in one region compare the biomass random forest models for sea pens to those produced by generalized additive models (GAMs). Together, these distribution maps can be used to identify significant concentrations of corals and sponges in eastern Canada; an essential first step in the identification of Sensitive Benthic Areas.