Find research datasets worth reusing

Data from: Distribution, population dynamics and potential impacts of the invasive snail, Tarebia granifera in aquatic ecosystems of north-eastern South Africa

Aquatic ecosystems globally have been invaded by molluscs. Tarebia granifera is a highly successful invader, often becoming the dominant aquatic invertebrate species in an invaded ecosystem. Resultingly, it has been suggested that T. granifera may have severe negative impacts on these invaded ecosystems. Limited information is available regarding the population structures and densities of T. granifera, particularly in invaded countries such as South Africa, and information on this could assist in developing management and control strategies for this invasive species. The aim of the present study was to assess the current distribution, densities, and population structures of T. granifera in invaded habitats on the Limpopo and Phongolo River systems, South Africa. This was accomplished by collecting aquatic benthic molluscs from sites across these systems. Water quality parameters were measured at each site and water samples collected for chemical nutrient analyses. The density of snails was determined for each site and the population size and structure as well as birth rate was calculated for T. granifera. Tarebia granifera was found to be the dominant molluscan species in habitats where it was present and all size classes from new-born to mature adults were found throughout at some of the highest densities globally. Worryingly, native molluscan species, were often absent or in much lower densities than reported in literature at sites where T. granifera was present, suggesting a negative effect on the native molluscan density and diversity. Contrary to most previous studies, there were no significant correlations between T. granifera and the selected water quality parameters. Higher densities and new-born recruitment of T. granifera were observed in the spring than autumn, likely in response to shifts in environmental conditions. This study provides crucial insights into the population structure and dynamics of T. granifera in invaded habitats, particularly for relatively newly invaded regions such as southern Africa.

Data from: Dynamic models for impact-initiated stress waves through snow columns

The objective of this research is to model snow's response to dynamic, impact loading. Two constitutive relationships are considered: elastic and Maxwell-viscoelastic. These material models are applied to laboratory experiments consisting of 1000 individual impacts across 22 snow column configurations. The columns are 60 cm tall with a 30 cm by 30 cm cross-section. The snow ranges in density from 135-428 kg m-3 and is loaded with both short-duration (~1 ms) and long-duration (~10 ms) impacts. The Maxwell-viscoelastic model more accurately describes snow's response because it contains a mechanism for energy dissipation, which the elastic model does not. Furthermore, the ascertained model parameters show a clear dependence on impact duration; shorter duration impacts resulted in higher wave speeds and greater damping coefficients. The stress wave's magnitude is amplified when it hits a stiffer material because of the positive interference between incident and reflected waves. This phenomenon is observed in the laboratory and modeled with the governing equations.

Context-dependent impact of changes in precipitation on the stability of grassland biomass

Community stability plays a crucial role in ensuring the consistent provision of ecosystem services despite environmental changes, including alterations in precipitation patterns. Over the past decades, significant progress has been made in understanding the responses of the stability of grassland plant communities and underlying mechanisms, defined as the ratio of the temporal mean biomass to the standard deviation. However, a crucial knowledge gap remains regarding whether the impacts of precipitation on the stability of grassland biomass are contingent upon specific contextual factors. Here, we examined the stability of above- and below-ground biomass in adjacent grass- and shrub-dominated communities through a 7-year manipulation experiment involving seven precipitation levels: 20%, 40%, and 60% decreases, as well as 20%, 40%, and 60% increases in natural rainfall, in addition to ambient precipitation. We found that the stability of community biomass was influenced by three contextual factors including the magnitude and directionality of precipitation, above- and below-ground biomass, and the type of vegetation. In particular, higher and more intense precipitation resulted in higher stability of above-ground biomass in both grass- and shrub-dominated communities. Conversely, higher precipitation intensity led to decreased below-ground biomass stability in grass-dominated communities but increased below-ground biomass stability in shrub-dominated communities. Species stability and species asynchrony consistently played a positive role in explaining the stability of above-ground biomass in both grass- and shrub-dominated communities. However, species asynchrony negatively influenced below-ground biomass stability in grass-dominated communities without a comparable effect in shrub-dominated communities. The preeminent contribution to the total community biomass was identified in the stability of below-ground biomass, evident in both grass-dominated and shrub-dominated communities. Synthesis. This study highlights that while the specific effects of changes in precipitation may vary depending on the context, the fundamental processes governing biomass stability are consistent. These findings elucidate the desert steppe ecosystems' adaptive response to precipitation variations and emphasize their pivotal role in maintaining ecosystem functions under climatic perturbations.

Data from: Exploring the multi-level impacts of a youth-led comprehensive sexuality education model in Madagascar using human-centered design methods

Comprehensive sexuality education (CSE) is recognized as a critical tool for addressing sexuality and reproductive health challenges among adolescents. However, little is known about the broader impacts of CSE on populations beyond adolescents, such as schools, families, and communities. This study explores multi-level impacts of an innovative CSE program in Madagascar, which employs young adult CSE educators to teach a three-year curriculum in government middle schools across the country. The two-phased study embraced a participatory approach and qualitative Human-centered Design (HCD) methods. In phase 1, 90 school principals and administrators representing 45 schools participated in HCD workshops, which were held in six regional cities. Phase 2 took place one year later, which included 50 principals from partner schools, and focused on expanding and validating findings from phase 1. From the perspective of school principals and administrators, the results indicate several areas in which CSE programming is having spill-over effects, beyond direct adolescent student sexuality knowledge and behaviors. In the case of this youth-led model in Madagascar, the program has impacted the lives of students (e.g., increased academic motivation and confidence), their parents (e.g., strengthened family relationships and increased parental involvement in schools), their schools (e.g., increased perceived value of schools and teacher effectiveness), their communities (e.g., increased community connections), and impacted broader structural issues (e.g., improved equity and access to resources such as menstrual pads). While not all impacts of the CSE program were perceived as positive (e.g., students start experimenting with sex and love), the findings uncovered opportunities for targeting investments and refining CSE programming to maximize positive impacts at family, school, and community levels.

opencc-by-4.0Feb 2024View details →

Dumps and Data for 'Impact of aeolian erosion on dust evolution in protoplanetary discs'

<div>This dataset contains the files required to recreate the Phantom simulations run in the publication Michoulier et al. 2024, A&A 686, A32.</div> <div>We have also included the dumps required to re-create Figure 4.</div> <div> </div>

Dataset of 'Unequal Impacts of Urban Industrial Land Expansion on Economic Growth and Carbon Dioxide Emissions'

This dataset is an integral component of the research presented in 'Unequal Impacts of Urban Industrial Land Expansion on Economic Growth and Carbon Dioxide Emissions' by Yoo et al., 2024. It encompasses: 1. Links to two publicly accessible datasets: <ul> <li>Industrial land mapping data derived from Google Earth Engine.</li> <li>Data employed in a longitudinal analysis to evaluate the effects of urban industrial land expansion on CO2 emissions and economic growth.</li> </ul> 2. Comprehensive input data utilized in Mixed Effects Random Forest (MERF) longitudinal modeling to assess the separate impacts on CO2 emissions and economic growth in developing and developed regions. 3. Python scripts provided for: <ul> <li>Executing MERF longitudinal modeling.</li> <li>Computing SHAP (SHapley Additive exPlanations) values to interpret the contributions of each predictor variable.</li> <li>Generating figures that visually summarize the findings for both developing and developed regions.</li> </ul>   The manuscript is available at: <a href="https://doi.org/10.1038/s43247-024-01375-x">https://doi.org/10.1038/s43247-024-01375-x</a> <div> <div> </div> </div>

opencc-by-4.0Nov 2023View details →

Artifacts of a Controlled Experiment About the Impact of Microservice API Patterns on Understandability

This repository includes the data set of responses from 66 participants and the analysis scripts of a controlled experiment about the impact of microservice API patterns on understandability.

Converging findings of climate models and satellite observations on the positive impact of European forests on cloud cover

Overview: This repository hosts a comprehensive dataset resulting from a Space for Time (S4T) analysis (Duveiller et al. 2018). The dataset spans monthly data from 2004 to 2014, providing detailed insights into cloud cover dynamics and land cover characteristics. Leveraging observations from the Cloud CCI MODIS-Aqua dataset (Stengel et al. 2017) and RegCM5 (Giorgi et al. 2023) model outputs at 0.05 degrees resolution, it offers valuable resources for researchers studying atmospheric and terrestrial interactions. Contents: s4t_ESACCI.zip: Output of the space-for-time algorithm applied to the Global MODIS-Aqua cloud cover data for low, medium, and high clouds. s4t_RegCM5.zip: Output of the space for time algorithm applied to the European RegCM5 cloud data for low, medium, and high clouds. Variables: Cloud Area Fractions: Includes low (cll), medium (clm), and high (clh) cloud area fractions, expressed as percentages. Cloud layers are categorized based on cloud top pressure (CTP), following the convention of the International Satellite Cloud Climatology Project.

Data to the Supporting Information to "Radiative Heating of High-Level Clouds and its Impacts on Climate"

Author: Kerstin Haslehner kerstin.haslehner@univie.ac.at This archive includes the ICON-ESM output files used to study the radiative heating of high-level clouds. This dataset is related to the manuscript "Radiative Heating of High-Level Clouds and its Impacts on Climate" by Kerstin Haslehner, Blaž Gasparini and Aiko Voigt, which will be submitted to the Journal of Geophysical Research: Atmospheres. The output data was originally created as part of a Master's thesis by Kerstin Haslehner at the Department of Meteorology and Geophysics at University Vienna. This thesis is available here: https://utheses.univie.ac.at/detail/67015/#   Descriptions of names: "clouds off": radiative heating of all clouds turned off "ice-off": radiative heating of when clouds at temperatures colder than -35°C are turned off "ice-off-warmbase": radiative heating of high-level clouds turned off "ice-on": radiative heating of all clouds active, reference run "diagice-cirrus": contains output variables that diagnose the radiative heating of clouds at temperatures colder than -35°C "hl": height levels

opencc-by-4.0Nov 2023View details →

Human health impact based on adult European consumers' dietary exposure to chemical contaminants and consumption of unprocessed red meat, processed meat, and legumes

This dataset was generated within the PRISMA project (Marie Skłodowska-Curie Grant Agreement No. 101110615) for assessing the health impact for adult consumers from 25 European countries due to dietary exposure to chemical contaminants and consumption of food based on different dietary patterns.The risk coefficients used to generate data are presented in Table S1.File S2 presents the health impact based on the chronic dietary exposure to chemical contaminants for each country.File S3 presents figures regarding the health impact for each country for adult consumers due to dietary exposure to chemical contaminants and consumption of food based on different dietary patterns.File S4 presents the health impact based on the consumption of unprocessed red meat, processed meat, and legumes for each country.

opencc-by-4.0Jan 2024View details →

Data to "Radiative Heating of High-Level Clouds and its Impacts on Climate"

Author: Kerstin Haslehner kerstin.haslehner@univie.ac.at This archive includes the ICON-ESM output files used to study the radiative heating of high-level clouds. This dataset is related to the manuscript "Radiative Heating of High-Level Clouds and its Impacts on Climate" by Kerstin Haslehner, Blaž Gasparini and Aiko Voigt, which will be submitted to the Journal of Geophysical Research: Atmospheres. The output data was originally created as part of a Master's thesis by Kerstin Haslehner at the Department of Meteorology and Geophysics at University Vienna. This thesis is available here: https://utheses.univie.ac.at/detail/67015/#   Descriptions of names: "clouds off": radiative heating of all clouds turned off "ice-off-warmbase": radiative heating of high-level clouds turned off "ice-on": radiative heating of all clouds active, reference run "diagice-warmbase": contains output variables that diagnose the radiative heating of high-level clouds "diagice-cirrus": contains output variables that diagnose the radiative heating of clouds at temperatures colder than -35°C "ua700": zonal wind at 700hPa "mastrfu": mass stream function, calculated with CDO "hl": height levels "wap500hPa": omega at 500hPa

opencc-zeroMar 2024View details →

Data from: Evaluating the impact of historical climate and early human groups in the Araucaria Forest of Eastern South America

It has been hypothesized that the Araucaria Forest in Southern Brazil underwent expansions in the past, driven either by human groups or by climate fluctuations of the Holocene and Pleistocene. Fossil pollen records of the Paraná Pine (Araucaria angustifolia), a dominant tree in that forest, provide some insights into when those may have occurred. Still, the timing of those expansions has never been estimated. To infer past range shifts and shed light on their main drivers, we employed next-generation DNA sequencing (ddRADseq), machine learning, and a comprehensive database of fossil pollen records in a study of historical demographic inference and paleo-distribution modeling of the Paraná Pine. We found that A. angustifolia comprises two populations expanding at different times: one in the Mantiqueira mountain chain, and the other in the southern Brazilian plateau. The Southern population began to expand during the Last Glacial Period ~70kya, long before human arrival in South America. Still, genetic analyses support that humans later impacted this population, resulting in lower genetic diversity, higher inbreeding, and high levels of gene flow over large distances with a weak pattern of isolation by distance. It is possible this resulted from human influence on seed dispersal and germination on the Southern Brazilian plateau. The Mantiqueira population, in contrast, expanded only recently (~3kya). This timing coincides with Holocene climatic changes and human settlements established further south, although, to date, there is little archeological evidence of human impact in the Mantiqueira. In addition, multitemporal species distribution models built from a combination of present-day and pollen records infer range expansion of the Araucaria Forest during glacial times until the cold humid HS1 event (~16kya), when the forest was most widespread, with no evidence of glacial refugia. The combination of genomic and spatial analyses suggests that both human and climatic controls played a role in the dynamics of the Araucaria Forest.

opencc-zeroMar 2024View details →

Impacts of umbrella species management on non-target species

Restoration of anthropogenically altered habitats has often focused on management for umbrella species—vulnerable species whose conservation is thought to benefit co-occurring species. Woody plant encroachment is a form of habitat alteration occurring in grasslands and shrublands around the globe, driven by anthropogenic shifts in disturbance regimes. One pervasive threat to historically widespread sagebrush communities is conifer expansion, which outcompetes sagebrush and can negatively affect sagebrush-obligate animal species. Degradation and loss of sagebrush plant communities in western North America have been associated with drastic declines in wildlife populations. The imperiled Greater Sage-Grouse is assumed to be an umbrella species for the sagebrush community, so habitat restoration, including removal of encroaching conifers, is commonly targeted toward sage-grouse. How this conservation action affects the demography of species other than age grouse is largely unknown. We quantified the demographic effects of landscape-level restoration of sagebrush communities through conifer removal on an assemblage of sagebrush-obligate, shrubland generalist, and woodland-associated songbirds. We compared songbird density and reproduction between adjacent restored and uncut conifer-encroached sagebrush plots in southwest Montana. We found and monitored nests to record nest fate and number of offspring produced. We found demographic benefits for sagebrush-obligate species in restored areas. Sage Thrashers colonized restored areas. Brewer's Sparrow density was 39% higher and nest success was 63% higher in removal treatments, resulting in 119% higher fledgling production compared with uncut areas. The density of Vesper Sparrows, a shrubland generalist, was 308% higher, and fledgling production was 660% higher in restored areas. Another shrubland generalist, the White-crowned Sparrow, experienced 55% lower density and 37% lower fledgling production in conifer removal areas. Two woodland-associated species, Chipping Sparrows and Dark-eyed Juncos were nearly extirpated following conifer removal. A third woodland-associated species, the Green-tailed Towhee, experienced 57% lower density and 69% lower fledgling production in removal than in non-removal areas. Synthesis and applications: Our study demonstrates the benefits of conifer removal for sagebrush-obligate species while highlighting species that may be sensitive. Umbrella species management can benefit co-occurring species with similar habitat associations, but demographic analyses for all impacted species are essential for effective conservation.

Supplementary file for the manuscript entitled: Demographic and genetic impacts of powdery mildew in a young oak cohort

Barres et al 2023 Supplementary material-vf.pdf: supplementary material file for the related article

opencc-zeroMar 2024View details →

Data from: Exploring the macroevolutionary impact of ecosystem engineers using an individual-based eco-evolutionary simulation

Ecosystem engineers can radically reshape ecosystems by modulating the availability of resources to other organisms through modifying either physical or biological aspects of the environment. The introduction or removal of ecosystem engineers from otherwise stable ecosystems can impact the diversity of co-occurring species, such as driving local extinctions of native taxa. While these impacts are well established over ecological timescales for a wealth of taxa, the macroevolutionary implications of the onset of ecosystem engineering behaviours are less clear. Despite this uncertainty, ecosystem engineering has been implicated in several major transitions in Earth's history including the appearance of extensive bioturbation during the Cambrian substrate revolution and associated Ediacaran-Cambrian turnover and the Great Oxygenation Event. Whether ecosystem engineers are frequently associated with turnover and extinction in deep time is not known. Here we investigate this with an eco-evolutionary simulation framework in which we assign lineages the ability to impact the fitness of co-occurring taxa through phenotype-environment feedback. We explore numerous conditions, including how frequently these feedbacks occur, and whether ecosystem engineers modify or create niches. We show that there is no general expected outcome from the introduction of ecosystem engineers. In a minority of runs, ecosystem engineering lineages completely dominate, rendering all others extinct, but in others, they persist (but do not dominate), or die out. We suggest that ecosystem engineers have complex impacts but possess the capacity to profoundly shape diversity, and it is appropriate to consider them alongside other exogenous extinction drivers in deep time.

opencc-by-4.0Oct 2023View details →

Data and code for the paper titled "Impact of the Tibetan Plateau on Global High-frequency Temperature Variability"

This is the data and code for the paper titled "Impact of the Tibetan Plateau on Global High-frequency Temperature Variability", which was submitted to Journal of Climate.

opencc-by-4.0Mar 2021View details →

Figure 4 in Population biology of the fiddler crab Uca maracoani (Crustacea, Ocypodidae) inhabiting an impacted mangrove area on the southern coast of São Paulo state, Brazil

Figure 4. Frequency of juveniles (%) of Uca maracoani by month.

opencc-by-4.0Apr 2024View details →

Data for: A protocol for model intercomparison of impacts of Marine Cloud Brightening Climate Intervention

Replication data for "A protocol for model intercomparison of impacts of Marine Cloud Brightening Climate Intervention" submitted to Geophysical Model Development.

opencc-by-4.0Apr 2024View details →

HANZE v2.3 flood impact model input data

This dataset provides input data needed to run HANZE v2.3 model. The ZIP files need to be downloaded and unpacked in the same directory, which has to be defined in "get_file.py" of the HANZE model (variable "repo_path" at the beginning of the file).