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.

datasets available to search

ShareScore release 0.7.1

Dataset results

59 results for “Urban Driving”

Learn how ShareScore rates datasets ↗

dryad36/100

Urbanization drives geographically heterogeneous freshwater salinization in the northeastern United States

Rising trends in freshwater salinity, collectively termed the Freshwater Salinization Syndrome (FSS), constitute a global environmental concern. Given that the FSS has been observed in diverse settings, key questions regarding the causes, trend magnitudes, and consequences remain. Prior work hypothesized that FSS is driven by state factors, such as human-centered land use change, geology, and climate. Here, we identify the fundamental overriding factors driving FSS within the northeastern United States and quantify the diversity of FSS severity within the region. Specifically, we analyzed decadal-scale trends in specific conductance (a salinity proxy) for 333 lotic sites over four decades. Next, we quantified potential variables driving the rising or falling trends, including impervious surface cover (ISC), winter temperature and precipitation, watershed size, and ambient conductance. Temperature and ISC were considered the most likely candidates for predicting FSS severity because road salts have previously emerged as the fundamental regional driver.Most (62.5%) sites exhibited patterns of significantly increasing conductance; thus, the overall regional state reflects advancing FSS. However, others exhibited an absence of change (28.8%) or decreasing values (8.7%), and slope magnitude did change with latitude. Linear modeling demonstrated that two variables—ISC and watershed size—constitute the best predictors of long-termconductance trends and that an intercept not significantly different than zero suggests that the FSS does not reign in the absence of urbanization. We also detected areas with consistently decreasing trends despite moderate ISC. Therefore, within the region, advancing urbanization causes the typical condition of advancing FSS, but heterogeneity also exists.

opencc-zeroDec 2022View details →

dryad36/100

Data from: Rural selection drives the evolution of an urban-rural cline in coat color in gray squirrels

<div> Phenotypic differences between urban and rural populations are well-documented, but the evolutionary processes driving trait variation along urbanization gradients are often unclear. We combined spatial data on abundance, trait variation, and measurements of fitness to understand cline structure and test for natural selection on heritable coat color morphs (melanic, gray) of eastern gray squirrels (Sciurus carolinensis) along an urbanization gradient. Population surveys using remote cameras and visual counts at 76 sites along the urbanization gradient revealed a significant cline in melanism, decreasing from 48% in the city center to <5% in rural woodlands. Among 76 squirrels translocated to test for phenotypic selection, survival was lower for the melanic than gray morph in rural woodlands, whereas there was no difference in survival between color morphs in the city. These results suggest the urban-rural cline in melanism is explained by natural selection favoring the gray morph in rural woodlands combined with relaxed selection in the city. Our study illustrates how trait variation between urban and rural populations can emerge from selection primarily in rural populations rather than adaptation to novel features of the urban environment. This reposotory contains a) occupancy data, point count data, and R code used to estimate the urban-rural cline in melanism, and b) radiotelemetry data and R code used to estimate differential survival between color morphs in urban and rural environments. </div>

opencc-zeroSep 2023View details →

dryad36/100

From green to red: Urban heat stress drives leaf color evolution

Urban environments, occupying approximately 1% of total land area, often impose novel biotic and abiotic selective pressures on organisms and provide valuable opportunities to understand the eco-evolutionary dynamics between nature and human societies. Prevalence of impervious surface and resulting higher temperatures in urban areas, known as urban heat islands, comprises prominent characteristics in global cities. However, it is not known whether and how urban plants adapt to such heat stress. This study focused on Oxalis corniculata, which has intraspecific polymorphism in leaf color (green, red), and examined whether the leaf color variation is associated with urban heat stress. Field observations revealed consistent associations between leaf color and habitat types (green vs. urban) at local (< 500m), landscape (< 50km), and global scales. Green-leaved plants were dominant in green habitats, and red-leaved individuals had increased in number in urban habitats. Growth and photosynthesis experiments indicated the adaptive benefit and cost of red/green leaves associated with heat stresses. Red-leaved individuals had higher growth rates and photosynthetic efficiency under heat stress, while green-leaved individuals displayed higher growth rates and photosynthetic efficiency under non-stressful conditions. Genome-wide SNP analysis suggests that the red leaf trait may have evolved multiple times from the ancestral green leaf, rather than spreading from a single origin of red leaf evolution. Overall, the results suggested that the dominance of red leaves of O. corniculata seen in cities worldwide would be evidence of plant adaptative evolution due to urban heat islands.

opencc-zeroOct 2023View details →

dryad36/100