Find research datasets worth reusing

opencc-by-4.0Nov 2022View details →

PAsCAL WP6 Pilot 5 Vulnerable Travellers in Connected Transport Environments Video

A summary video documenting and introducing the activities of pilot 5 of the PAsCAL real-world pilots. The part of the pilot which is documented in the video took place within the wider Madrid transport network between May and November 2021. The participants tested the Apertum mobile application (https://apertum.world/) and three groups of potential users were recruited: <ol> <li>Elderly citizens (65+ years), via the non-for-profit organisation Nadiesolo;</li> <li>Paraplegic citizens with permanent mobility constraints and in many cases reduced hand mobility, via the medical centre FLM (Fundación Lesionado Medular);</li> <li>Citizens who were confronted with temporary mobility constraints (e.g., carrying heavy luggage, baby strollers, using crutches or wheelchairs to simulate temporary injuries).</li> </ol>

opencc-by-4.0Nov 2022View details →

PAsCAL WP6 Pilot 5 Experience of Vulnerable Travellers in Connected Transport Environments

These three datasets were collected within the context of the PAsCAL research project between May and November 2021. Each survey included a different user group and all activities were conducted in different places: <ol> <li>Apertum Testing: 165 individual testers used the Apertum (https://apertum.world/) mobile application for step-free public transport information. These participants consisted of elderly persons (65+ years old), paraplegic users and persons with temporary mobility constraints (like injuries or persons who use baby strollers or heavy luggage). The testing took place in 3 different locations and followed 3 different scenarios to ensure that the routing or departure point of the user does not influence their acceptance of the CAV solution;</li> <li>UI-UX Testing: The same application was tested by 20 additional persons (half of them digital natives and half of them digital nomads) in Madrid, Spain. For the UI-UX testing, a few standard tasks were defined and the participants were able to familiarise themselves with the application for 30 minutes before the testing started. The WAMMI methodology was applied, consisting of a survey that is to the point.</li> <li>Focus Discussion Groups: The FDGs took place across 4 cities in Italy (Rome, Bologna, Milan and Naples) and included a diverse range of 51 blind and partially sighted persons. The participants attended a short briefing about autonomous and connected mobility and shared their experiences, opinions and attitudes freely before completing a survey to report on their freedom of travel, their needs and attitudes towards CAVs.</li> </ol> In order to analyse the answers given to the questions, it is recommended to consult also the "PAsCAL WP6 Pilots Surveys" dataset, which contains all questions and possible answers.

opencc-zeroJan 2023View details →

Data for: Genomic vulnerability to climate change in Quercus acutissima, a dominant tree species in East Asian deciduous forests

Understanding the evolutionary processes that shape the landscape of genetic variation and influence the response of species to future climate change is critical for biodiversity conservation. Here, we sampled 27 populations across the distribution range of a dominant forest tree, Quercus acutissima, in East Asia, and applied genome-wide analyses to track the evolutionary history and predict the fate of populations under future climate. We found two genetic groups (East and West) in Q. acutissima that diverged during the Pliocene. We also found a heterogeneous landscape of genomic variation in this species, which may have been shaped by population demography and linked selections. Using genotype-environment association analyses, we identified climate-associated SNPs in a diverse set of genes and functional categories, indicating a model of polygenic adaptation in Q. acutissima. We further estimated three genetic offset metrics to quantify genomic vulnerability of this species to climate change due to the complex interplay between local adaptation and migration. We found that marginal populations are under higher risk of local extinction because of future climate change, and may not be able to track suitable habitats to maintain the gene-environment relationships observed under the current climate. We also detected higher reverse genetic offsets in northern China, indicating that genetic variation currently present in the whole range of Q. acutissima may not adapt to future climate conditions in this area. Overall, this study illustrates how evolutionary processes have shaped the landscape of genomic variation, and provides a comprehensive genome-wide view of climate maladaptation in Q. acutissima.

opencc-by-4.0Jan 2023View details →

Supplementary Data and Code: Determinants of range sizes pinpoint vulnerability of groundwater species to climate change: a case study on subterranean amphipods from the Dinarides

Supplementary Data and R code for phylogenetic analyses for manuscript entitled Determinants of range sizes pinpoint vulnerability of groundwater species to climate change: a case study on subterranean amphipods from the Dinarides. The dataset contains beast.tree → data for import into R: maximum credibility phylogeny data_lambert.csv → data for import into R: data on habitat and distribution for 52 Niphargus species morpho.csv → data for import into R: morphometric data (body length) for 52 Niphargus species niphargus_ranges.Rmd → fully reproducible R markdown file niphargus_ranges.html → html output of Rmd file To be able to run the analysis put the data files into folder <data> and run the Rmd script.

opencc-zeroJan 2023View details →

Vulnerability of estuarine systems in the contiguous United States to water quality change under future climate and land-use

Changes in climate and land-use and land-cover (LULC) are expected to influence surface water runoff and nutrient characteristics of estuarine watersheds, but the extent to which estuaries are vulnerable to altered nutrient loading under future conditions is poorly understood. The present work aims to address this gap through the development of a new vulnerability assessment framework that accounts for (1) estuarine exposure to projected changes in total nitrogen (TN) and total phosphorus (TP) loads as a function of LULC and climate change under several scenarios to altered nutrient loads, (2) sensitivity (i.e., how responsive estuaries are to altered nutrient loads), and (3) adaptive capacity (i.e., how the socio-ecological system can use existing resources to reduce the impacts associated with increased exposure). The framework was applied to 112 estuaries and their contributing watersheds across the contiguous U.S., specifically to look at regional variability in estuarine vulnerability to nutrient loading. Study findings revealed that the largest increases in estuarine nutrient loads are expected in the North and South Atlantic regions and eastern Gulf of Mexico, while the lowest increase is expected in the North and South Pacific regions and the western Gulf of Mexico. However, the North Atlantic and the South Pacific had the highest adaptive capacity, which could potentially counteract the effects of LULC and climate change on nutrient loads. Our findings illustrate the benefits of integrating natural and socio-ecological factors to identify opportunities to develop adaptation plans and policies to mitigate ecological degradation in vitally important estuaries. A<a href="https://lisemontefiore.shinyapps.io/estuarine_vulnerability/"> web-based application</a> has been developed to visualize and download the data.

Data and code for paper "Freihardt (2024): Perceptions of environmental changes among a climate-vulnerable population from Bangladesh. Climatic Change. DOI 10.1007/s10584-024-03678-6"

This dataset contains the temperature, precipitation, erosion, and perception data, as well as the analysis code in R necessary to replicate the results of the paper: Freihardt, J. (2024): Perceptions of environmental changes among a climate-vulnerable population from Bangladesh. Climatic Change, 177, 25. DOI: 10.1007/s10584-024-03678-6.

FIG. 7 in A synopsis of Ptisana Murdock ferns (Marattiaceae) in New Caledonia based on sequence data and morphology with the recognition of a new vulnerable species, P. soluta (Compton) Murdock & Perrie, comb. nov., stat. nov.

FIG. 7. — Median-joining networks based on trnSGG and rps4-trnS sequences: A, the Ptisana attenuata clade; B, the P. salicina/P. soluta comb. nov., stat. nov./P. smithii clade. The size of each circle is proportional to the haplotype frequency. Undetected intermediate haplotypes on nodes are shown as black circles and hatch marks represent mutational steps separating haplotypes.

FIG. 6 in A synopsis of Ptisana Murdock ferns (Marattiaceae) in New Caledonia based on sequence data and morphology with the recognition of a new vulnerable species, P. soluta (Compton) Murdock & Perrie, comb. nov., stat. nov.

FIG. 6. — Phylogram from the Bayesian phylogenetic analysis of the chloroplast DNA sequence data for Ptisana Murdock. Support values for branches are given in the order of Bayesian inference posterior probability; maximum parsimony bootstrap support; and maximum likelihood bootstrap support. Only values>0.80 PP and 60% BS are shown.

FIG. 4 in A synopsis of Ptisana Murdock ferns (Marattiaceae) in New Caledonia based on sequence data and morphology with the recognition of a new vulnerable species, P. soluta (Compton) Murdock & Perrie, comb. nov., stat. nov.

FIG. 4. — Distribution map for the New Caledonian endemic species of Ptisana attenuata (Labill.) Murdock (), P. rolandi-principis (Rosenst.) Christenh. (Δ), and P. soluta (Compton) Murdock & Perrie, comb. nov., stat. nov. (, with unvouchered field observations indicated by a broken outline). Shaded areas are ultramafic substrates. The collecting sites of the sequenced P. attenuata samples are indicated.

FIG. 5 in A synopsis of Ptisana Murdock ferns (Marattiaceae) in New Caledonia based on sequence data and morphology with the recognition of a new vulnerable species, P. soluta (Compton) Murdock & Perrie, comb. nov., stat. nov.

FIG. 5. — The holotype of Ptisana soluta (Compton) Murdock & Perrie, comb. nov., stat. nov. (Compton 1674, Ignambi, 1914, BM[BM000787128]) showing how the lamina transitions from 3-pinnate proximally to 2-pinnate distally. CC BY The Trustees of the Natural History Museum, London.

FIG. 3 in A synopsis of Ptisana Murdock ferns (Marattiaceae) in New Caledonia based on sequence data and morphology with the recognition of a new vulnerable species, P. soluta (Compton) Murdock & Perrie, comb. nov., stat. nov.

FIG. 3. — Ptisana soluta (Compton) Murdock & Perrie, comb. nov., stat. nov., field photos: A, frond with lamina 3-pinnate proximally and 2-pinnate distally. The frond at top-right is P. attenuata (Labill.) Murdock; B, stipes are greenish-brown at a distance; C, abaxial surface of costae and fertile lamina, showing transition from 3-pinnate to 2-pinnate; D, stipe greenish-brown and smooth; E, stipules around stipe bases. Photos: A-D, Leon Perrie from near Nouméa; E, Rémy Amice, from near Nouméa.

FIG. 1 in A synopsis of Ptisana Murdock ferns (Marattiaceae) in New Caledonia based on sequence data and morphology with the recognition of a new vulnerable species, P. soluta (Compton) Murdock & Perrie, comb. nov., stat. nov.

FIG. 1. — Ptisana attenuata (Labill.) Murdock, field photos: A, 3-pinnate frond; B, stipes are dark at a distance; C, abaxial surface of costae and lamina, with synangia; D, stipe dark and wrinkled; E, divided stipules around stipe bases. Photos: Leon Perrie, from near Nouméa.

opencc-by-4.0Oct 2022View details →

Dataset describing the vulnerability of the Nigerian Power system via a new voltage stability pointer

The Nigerian power network (NGP), 28-bus 330 kV dynamic stability assessment using a new voltage stability pointer (NVSP). Different case studies were considered and presented on dynamic stability including the contingency analysis.

opencc-by-4.0Mar 2023View details →

'Does crown sheltering effect the vulnerability of trees to wind damage in tropical forests? ' project dataset

The manually delineated tree crowns, polygon-based sheltering indices, canopy height model (CHM) and digital surface model (DSM) generated to investigate the effects of local crown sheltering on wind vulnerability in Barro Colorado Island, Panama. Files include both circular and directional indices at 10m, 20m, 50m and 2 x canopy radius.

opencc-by-4.0Apr 2023View details →

NATIONAL CYBER VULNERABILITIES DATASET

<pre>This dataset contains relevant information on the set of cyber vulnerabilities cataloged so far that can affect different applications or software. This contains information about: their names, affected products, inclusion date, severity, score, affectations, among others. It is of vital importance in the world of cybersecurity. </pre>

opencc-zeroJun 2023View details →

Life on the edge: A new toolbox for population-level climate change vulnerability assessments

Global change is impacting biodiversity across all habitats on earth. New selection pressures from changing climatic conditions and other anthropogenic activities are creating heterogeneous ecological and evolutionary responses across many species' geographic ranges. Yet we currently lack standardised and reproducible tools to effectively predict the resulting patterns in species vulnerability to declines or range changes. We developed an informatic toolbox that integrates ecological, environmental and genomic data and analyses (environmental dissimilarity, species distribution models, landscape connectivity, neutral and adaptive genetic diversity and Genotype-Environment Associations) to estimate population vulnerability. In our toolbox, functions and data structures are coded in a standardised way so that it is applicable to any species or geographic region where appropriate data are available, for example individual or population sampling and genomic datasets (e.g. RAD-seq, ddRAD-seq, whole genome sequencing data) representing environmental variation across the species geographic range. We apply our toolbox to a georeferenced genomic dataset for the East African spiny reed frog (Afrixalus fornasini) to predict population vulnerability, as well as demonstrating that range loss projections based on adaptive variation can be accurately reproduced using data for two European bat species (Myotis escalerai, and M. crypticus). Our framework sets the stage for large scale, multi-species genomic datasets to be leveraged in a novel climate change vulnerability framework to quantify intraspecific differences in genetic diversity, local adaptation, range shifts and population vulnerability based on exposure, sensitivity, and range shift potential.

opencc-zeroJul 2023View details →

Spatiotemporal impacts of ideology and social vulnerability on COVID-19 for the United States

In early 2020, the Coronavirus Disease 19 (COVID-19) rapidly spread across the United States, exhibiting significant geographic variability. While several studies have examined the predictive relationships of differing factors on COVID-19 deaths, few have looked at spatiotemporal variation at refined geographic scales. The objective of this analysis is to examine county-level spatiotemporal variation of COVID-19 deaths in association with socioeconomic, health, demographic, and political factors, using regionalized multivariate regression as well as nationwide geographically weighted random forest (GWRF) models. Regionalized regression results across three time windows—pandemic onset until May 2021, May 2021 through November 2021, and December 2021 until April 2022—suggest that existing measures of social vulnerability for disaster preparedness (SVI) are associated with a higher degree of mortality from COVID-19. In comparison, GWRF models provide a more robust evaluation of feature importance and prediction, exposing the importance of local features, such as obesity, which is obscured by regional delineation. Overall, GWRF results indicate this more nuanced modeling strategy is useful for capturing the diverse spatial and temporal nature of the COVID-19 pandemic.

opencc-by-4.0Aug 2023View details →

Study Dataset: Shedding Light on CVSS Scoring Inconsistencies: A User- Centric Study on Evaluating Widespread Security Vulnerabilities

This record contains the study datasets, descriptive results and questionnaires from the paper "Shedding Light on CVSS Scoring Inconsistencies: A User-Centric Study on Evaluating Widespread Security Vulnerabilities" by Julia Wunder, Andreas Kurtz, Christian Eichenmüller, Freya Gassmann and Zinaida Benenson to appear in Proceedings of the 45th IEEE Symposium on Security and Privacy (2024). The pseudonymous datasets contain data from the online surveys (main study with 196 participants and follow-up study with 59 participants). The first row gives the question codes and questions, the following rows gives the answers from the participants (see also README.md). We also provide descriptive results from the online surveys as PDF and the questionnaires. Please refer to the README.md file and our paper for further details about the data set and study.

opencc-zeroSep 2023View details →

Data from: Species-specific ecological traits, phylogeny, and geography underpin vulnerability to population declines for North American birds

Species declines and extinctions characterize the Anthropocene. Determining species vulnerability to decline, and where and how to mitigate threats, are paramount for effective conservation. We hypothesized that species with shared ecological traits also share threats, and therefore may experience similar population trends. Here, we used a Bayesian modeling framework to test whether phylogeny, geography, and 22 ecological traits predict regional population trends for 380 North American bird species. Groups like blackbirds, warblers, and shorebirds, as well as species occupying Bird Conservation Regions at more extreme latitudes in North America, exhibited negative population trends, while groups such as ducks, raptors, and waders, as well as species occupying more inland Bird Conservation Regions, exhibited positive trends. Specifically, we found that in addition to phylogeny and breeding geography, multiple ecological traits contributed to explaining variation in regional population trends for North American birds. Furthermore, we found that regional trends and the relative effects of migration distance, phylogeny, and geography differ between shorebirds, songbirds, and waterbirds. Our work provides evidence that multiple ecological traits correlate with North American bird population trends, but that the individual effects of these ecological traits in predicting population trends often vary between different groups of birds. Moreover, our results reinforce the notion that variation in avian population trends is controlled by more than phylogeny and geography, where closely-related species within one region can show unique population trends due to differences in their ecological traits. We recommend that regional conservation plans, i.e. one-size-fits-all plans, be implemented only for bird groups with population trends under strong phylogenetic or geographic controls. We underscore the need to develop species-specific research and management strategies for other groups, like songbirds, that exhibit high variation in their population trends and are influenced by multiple ecological traits.