Find research datasets worth reusing

Assessing Future Hydrological Impacts of Climate Change on High-Mountain Central Asia: Insights from a Stochastic Soil Moisture Water Balance Model

Dataset accompanying the publication "Assessing Future Hydrological Impacts of Climate Change on High-Mountain Central Asia: Insights from a Stochastic Soil Moisture Water Balance Model"

Macroeconomic Impact of Ebola outbreaks in SSA and potential mitigation of GDP loss with prophylactic vaccination programs

Introduction: Decisions about prevention of and response to Ebola outbreaks require an understanding of the macroeconomic implications of these interventions. Prophylactic vaccines hold promise to mitigate the negative economic impacts of infectious disease outbreaks. The objective of this study was to evaluate the relationship between outbreak size and economic impact among countries with recorded Ebola outbreaks and to quantify the hypothetical benefits of prophylactic Ebola vaccination interventions in these outbreaks. Methods: The synthetic control method was used to estimate the causal impacts of Ebola outbreaks on per capita gross domestic product (GDP) of five countries in sub-Saharan Africa that have previously experienced Ebola outbreaks between 2000 and 2016, where no vaccines were deployed. Using illustrative assumptions about vaccine coverage, efficacy, and protective immunity, the potential economic benefits of prophylactic Ebola vaccination were estimated using the number of cases in an outbreak as a key indicator. Results: The impact of Ebola outbreaks on the macroeconomy of the selected countries led to a decline in GDP of up to 36%, which was greatest in the third year after the onset of each outbreak and increased exponentially with the size of outbreak (i.e., number of reported cases). Over three years, the aggregate loss estimated for Sierra Leone from its 2014-2016 outbreak is estimated at 16.1 billion International$.  Prophylactic vaccination could have prevented up to 89% of an outbreak’s negative impact on GDP, reducing the outbreak’s impact to as little as 1.6% of GDP lost.  Conclusion: This study supports the case that macroeconomic returns are associated with prophylactic Ebola vaccination. Our findings support recommendations for prophylactic Ebola vaccination as a core component of prevention and response measures for global health security.

Output data: China's energy-water-land system co-evolution under carbon neutrality goal and climate impacts

Outputs for Wang, J., Duan, Y., Wang, C., 2023. China’s energy-water-land system co-evolution under carbon neutrality goal and climate impacts. (In progress) Folder demeter contains the spatially downscaled land use/land cover datasets. Folder tethys contains the spatially downscaled water withdrawal datasets. The sub-folder names correspond to the scenarios described in the paper. For landcover datasets, land type ratios in each grid are presented. Land types include water, forest, shrub, grass, urban, snow, sparse and crops. For water withdrawal datasets, “wd” = “water withdrawal spatially downscaled”, “twd” = “water withdrawal spatially and temporally downscaled”, “dom”=”domestic/municipal sector”, “elec”=”electricity sector”, ”irr”=”irrigation sector”, “liv”=”livestock sector”, “mfg”=”manufacturing/industry sector”, “min”=”mining/primary energy sector”, “nonag”=”non-agricultural sector”, “total”=”all sectors”.

Datasets used in the paper "The Face of Deception: The Impact of AI-Generated Photos on Malicious Social Bots"

Datasets used in the paper "The Face of Deception: The Impact of AI-Generated Photos on Malicious Social Bots" We changed the datasets' titles and omitted authors' names for the blind review process. After the review, we will upload it to GitHub in an unanonymised form. Check README.md for details.

THE GROWTH IMPACT ON COMPANY VALUE: EVIDENCE FROM THE E-COMMERCE SECTOR

Thid dataset contains the information about e-commerce companies globally. The indicators include: region of operations (developed / developing), business-model (1st party trade / 3d party trade), key financial indicators   Detailed description of variables: 1. Year: the period covers 2017-2021, annual data 2. Index: number of the company 3. EV/GMV_t: trailing mulriple EV/GMV 4. EV/GMV_f: forward multiple EV/GMV 5. EV/Revenue: trailing multiple EV/Revenue 6. EV/Gross Profit: trailing multiple EV/Gross Proift 7. EV/EBITDA: trailing multiple EV/EBITDA 8. EV/EBIT: trailing multiple EV/EBIT 9. Dummy_Dev: dummy variable, which equals 1 for companies, operating on developed markets, 0 - for developing 10. Dummy_Ind: dummy variable, which equals 1 for companies which operating model combines a marketplace and retailing, 0 - for retailers 11. Dummy_GP: dummy variable, which equals 1 for companies with positive Gross Profit at a given year 11. Dummy_EBITDA: dummy variable, which equals 1 for companies with positive EBITDA at a given year 12. GMV_g_1yH: GMV growth rate for 1 historical year 13. GMV_g_2yH: GMV CAGR rate for 2 historical years 14. GMV_g_1yF: GMV growth for 1 forecasted year 15. Rev_g_1yH, Rev_g_2yH, Rev_g_1yF, GP_g_1yH, GP_g_2yH, GP_g_1yF, EBITDA_g_1yH, EBITDA_g_2yH, EBITDA_m_1yF: the same as p.12-14 for Revenue, Gross Profit, and EBITDA 16. GP_m_1yH: Gross Margin for 1 historical year

opencc-zeroMar 2023View details →

Wildfire impacts on seedbank and vegetation dynamics in Calluna heath

Moorlands dominated by Calluna vulgaris (hereafter Calluna) are globally rare and under increasing threat of wildfires due to climate change. The soil seedbank is important for community resilience, but research on its contribution to regenerating vegetation after moorland fires has, to date, focused on prescribed fire or on the short-term (≤ 2 year) impacts of wildfire. To address the role of the seedbank in long-term vegetation regeneration, we studied a chronosequence of six wildfire sites within a Scottish moorland catchment, ranging from 2 to 64 years since burning. We recorded vegetation composition and sampled the seedbank. Calluna and Erica spp. comprised 66 % and 27 % of germinated seeds, respectively, and the majority of vegetation species were not represented in the seedbank. Canonical Correspondence Analysis (CCA) revealed that time since fire was a strong predictor of vegetation species composition, but it had no effect on seedbank composition, suggesting that the same species dominate the seedbank regardless of burning. Whilst total seed density was not affected by time since wildfire, the effect on the non-Calluna seedbank was more notable. The proportion of non-Calluna species decreased with time in both vegetation and seedbank as Calluna cover was re-established and the seedbank of other species became gradually depleted. Whilst relative non-Calluna cover in the vegetation was at a maximum in recently burnt areas and then declined with time since fire, the species richness and proportion of non-Calluna in the seedbank followed a unimodal pattern after fire and reached a peak after approximately 35 years. Our results contribute to the knowledge of how moorland ecosystems regenerate after severe disturbances, which are likely to become more common as the climate changes.

Data for: The impact of wildlife and environmental factors on hantavirus infection in host and its translation into human risk

Identifying factors that drive infection dynamics in reservoir host populations is essential in understanding human risk from wildlife-originated zoonoses. We studied zoonotic Puumala orthohantavirus (PUUV) in the host, the bank vole (Myodes glareolus), populations in relation to the host population, rodent and predator community and environment-related factors and whether these processes are translated into human infection incidence. We used 5-year rodent trapping and bank vole PUUV serology data collected from 30 sites located in 24 municipalities in Finland. We found that PUUV seroprevalence was negatively associated with the abundance of red foxes, but this process did not translate into human disease incidence, which showed no association with PUUV seroprevalence. The abundance of weasels, the proportion of juvenile bank voles in the host populations and rodent species diversity were negatively associated with the abundance index of PUUV-positive bank voles, which, in turn, showed a positive association with human disease incidence. Our results suggest certain predators, high proportion of young bank vole individuals and a diverse rodent community, may reduce PUUV risk for humans through their negative impacts on the abundance of infected bank voles.

Codes for ''The lithospheric loading model for large impact basin where mantle plug presents''

This dataset contains the fortran codes and shell script used to generate data and figure for the article titled with "The lithospheric loading model for large impact basin where mantle plug presents". GMT and SHTOOLS is required for the operation of these code. The source code named LocalizedAdmitCorrV4.f95 is modified from the SHTOOLS example: LocalizedAdmitCorr.f95 written by Mark Wieczorek (April, 2005).

Evaluation of the impact of interdisciplinarity on the careers of researchers

This questionnaire, developed by CNRS’ Mission for Transversal and Interdisciplinary Initiatives, aims to assess the impact of involvement in the development of an interdisciplinary research project on the careers of researchers. It has been sent to a list of pre-identified CNRS staff. Answers, together with facts  and figures from CNRS HR department have been analysed and discussed in a publication, which is under review. THe original questionnaire was in French. In order to give access to a wide audience, we have translated into English. Please feel free to contact us, if you are interested in the French version.

EMD data for the paper "Impact of ad-hoc post-processing parameters on the lubricant viscosity calculated with equilibrium molecular dynamics simulations"

This archive contains the post-processing data obtained from EMD simulations of 2,2,4-Trimethylhexane lubricant molecule under various operating conditions. The EMD simulations were performed using LAMMPS with COMPASS force field. (See manuscript and README for details.)

Season-dependent impact of forage quality on stress in Alpine chamois

Chronically heightened stress levels in wildlife species may have detrimental effects on individual life history traits, for example through the increased likelihood of disease, parasitic infections, and overall reduced fitness. Understanding the drivers of stress may thus have great potential for informing wildlife conservation. Although the role of climate and individual status is well studied in stress ecology, the impact of related stressors such as dietary quality is of increasing interest to wildlife research and conservation. In this study, fecal cortisol metabolites (FCMs) in Alpine chamois Rupicapra r. rupicapra, used as bioindicators of stress, and their relationship with forage quality – measured as the percentage of fecal crude protein (CP) – were investigated. Data collection took place in 2011 and 2012 in the Gran Paradiso National Park (Western Italian Alps), on 22 individually marked adult males. The relationship between FCMs and CPs was analyzed through linear models and seperated between winter and summer months, accounting for the effect of potentially confounding exogenous and endogenous variables. After AICc-based model selection, we found that forage quality was negatively related to FCM levels in Alpine chamois during the summer months, meaning that higher quality forage was associated with the decreased expression of stress hormones. However, during the winter months, we did not find a significant relationship, potentially as a result of forage quality being ubiquitously poor. Although the mechanisms through which dietary variations impact FCM concentrations in wildlife populations are largely unknown, the occurrence of significant relationships between forage quality and stress levels supports potentially important implications for the long-term effect of climatic changes on the fitness of wildlife populations.

opencc-by-4.0Dec 2022View details →

Data from: Native palms and trees mediate drought impacts on dry neotropical pastures

This dataset includes the original database and scripts used for filtering and splitting the original databased into different datasets for each analysis. It also includes the scripts for generating the graphs and tables of the manuscript. It contains two .zip files: -Data_files.zip: Contains all the datasets used for each figure, as well as the original database in full. -R scripts.zip: Contains all the R scripts created to generated each of the datasets and graphs of the figures and tables.

Journal metrics as predictors of Research Excellence Framework 2021 results: Comparison of impact factor quartiles and Finnish expert-ratings - dataset

This dataset accompanies the conference submission 'Journal metrics as predictors of Research Excellence Framework 2021 results: Comparison of impact factor quartiles and Finnish expert-ratings'. It contains the data in CSV format, one file per unit of analysis (Units of Assessment, Higher Education Institutions, and Subject Areas). The format of the UoA file is as follows (the other two files are analogous): <ul> <li> institution_name: name of higher education institution (e.g. university) </li> <li> unit_of_assessment_name: UoA name in REF (https://www.ref.ac.uk/panels/units-of-assessment/) </li> <li> main_panel: main panel in REF </li> <li> multiple_submission_letter: blank unless submitted to multiple panels.Exceptionally HEIs may have requested permission to make <a href="https://ref.ac.uk/publications-and-reports/invitation-to-make-requests-for-multiple-submissions-exception-from-submission-for-small-units-and-for-impact-case-studies-requiring-security-clearance/">two submissions from the same UoA to different panels</a>. </li> <li> multiple_submission_name: blank unless submitted to multiple panels </li> <li> non_english: number of articles in language other than English </li> <li> jufo_score_uoa: JUFO score (see paper for calculation details) of UoA </li> <li> jif_score_uoa: JIF score (see paper for calculation details) of UoA </li> <li> ref_score_uoa: REF score (see paper for calculation details) of UoA </li> </ul>

What Do Firms Say in Reporting on Impacts of Climate Change? An Approach to Monitoring ESG Actions and Environmental Policy

This paper focuses on  two research questions  arising from the 2010 U.S. Securities and Exchange Commission (SEC)  Advisory on climate change reporting: (1) How does the discussion of climate change  in SEC filings change after the Advisory? and (2) What are firms talking about when they talk about climate change? Findings   were obtained from the 218,000 10-K filings to the SEC during the 2000--2019 period. The study develops and applies  text mining methodology based on extracting information from the ``semantic associates'' in the  ``neighborhoods'' of indicative terms. On (1) it finds that climate change-related reporting does increase substantially after the SEC guidance. On (2) a nuanced picture emerges. Firms with comparatively larger transition risks tend to discuss climate change comparatively more, focusing on  regulation-related topics. Firms exposed to the  physical risks of climate change tend to discuss climate change somewhat less, focusing  on meteorological topics. The results enrich our understanding regarding  environmental policies and firms' behaviors regarding climate change. Theoretical and practical implications are provided.

Approaches for handling missing values and their impacts on biological inferences: a molecular rate case study

GenBank accession numbers for nuclear sequence records used to build phylogenetic tree in manuscript entitled "Approaches for handling missing values and their impacts on biological inferences: a molecular rate case study". Nuclear sequences and GenBank accession numbers originally from multigene alignment and supplementary material published in Rabosky et al. (2018; 2019). Rabosky, D.L., Chang, J., Title, P.O. et al. An inverse latitudinal gradient in speciation rate for marine fishes. Nature 559, 392–395 (2018). https://doi.org/10.1038/s41586-018-0273-1 Rabosky, Daniel L. et al. (2019), Data from: An inverse latitudinal gradient in speciation rate for marine fishes, Dryad, Dataset, <a href="https://doi.org/10.5061/dryad.fc71cp4">https://doi.org/10.5061/dryad.fc71cp4</a>

Data for: Approaches for handling missing values and their impacts on biological inferences: a molecular rate case study

These data files are associated with the manuscript entitled: "Approaches for handling missing values and their impacts on biological inferences: a molecular rate case study" by Jacqueline A. May, Zeny Feng, and Sarah J. Adamowicz. This project entailed an evaluation of missing data handling approach on inferences using a molecular evolution case study. A target mixed-type dataset was first imputed using a real data-driven strategy for imputation method selection. Both trait-only (non-phylogenetic) and phylogenetic imputation methods were used to impute the dataset. Phylogenetic generalized least squares (PGLS) analyses were then applied to the complete-case and imputed datasets, specifying the traits as predictors and molecular evolutionary rates as the response variable. Those traits that associate significantly with molecular rates were identified and PGLS models compared to determine how the approach for handling missing data impacts biological inferences and conclusions. The files stored here are the trees built for phylogenetic imputation (RAxML tree and ultrametric tree versions) and the corresponding GenBank accession numbers.

Supplementary materials for: Exploring the impact of read clustering thresholds on RADseq-based systematics: an empirical example from European amphibians

Restriction site-Associated DNA sequencing (RADseq) has great potential for genome-wide systematics studies of non-model organisms. However, accurately assembling RADseq reads into orthologous loci remains a major challenge in the absence of a reference genome. Traditional assembly pipelines cluster putative orthologous sequences based on a user-defined clustering threshold. Because improper clustering of orthologs is expected to affect results in downstream analyses, it is crucial to design pipelines for empirically optimizing the clustering threshold. While this issue has been largely discussed from a population genomics perspective, it remains understudied in the context of phylogenomics and coalescent species delimitation. To address this issue, we generated RADseq assemblies of representatives of the amphibian genera Discoglossus, Rana, Lissotriton and Triturus using a wide range of clustering thresholds. Particularly, we studied the effects of the intra-sample Clustering Threshold (iCT) and between-sample Clustering Threshold (bCT) separately, as both are expected to differ in multi-species data sets. The obtained assemblies were used for downstream inference of concatenation-based phylogenies, and multi-species coalescent species trees and species delimitation. The results were evaluated in the light of a reference genome-wide phylogeny calculated from newly generated Hybrid-Enrichment markers, as well as extensive background knowledge on the species' systematics. Overall, our analyses show that the inferred topologies and their resolution are resilient to changes of the iCT and bCT, regardless of the analytical method employed. Except for some extreme clustering thresholds, all assemblies yielded identical, well-supported inter-species relationships that were mostly congruent with those inferred from the reference Hybrid-Enrichment data set. Similarly, coalescent species delimitation was consistent among similarity threshold values. However, we identified a strong effect of the bCT on the branch lengths of concatenation and species trees, with higher bCTs yielding trees with shorter branches, which might be a pitfall for downstream inferences of evolutionary rates. Our results suggest that the choice of assembly parameters for RADseq data in the context of shallow phylogenomics might be less challenging than previously thought. Finally, we propose a pipeline for empirical optimization of the iCT and bCT, implemented in optiRADCT, a series of scripts readily usable for future RADseq studies.

Impacts of neonicotinoid insecticides on bumble bee energy metabolism are revealed under nectar starvation

Bumble bees are an important group of insects that provide essential pollination services as a byproduct of their foraging behaviors. These pollination services are driven, in part, by energetic exchanges between flowering plants and individual bees. Thus, it is important to examine bumble bee energy metabolism and explore how it might be influenced by external stressors, which contribute to declines in global pollinator populations. Two stressors that are commonly encountered by bees include insecticides and nutritional stress. Our study examines the effects of neonicotinoid insecticide exposure alone, and in combination with nutritional stress, on bumble bee metabolism using a novel metabolomic approach. We hypothesized that exposure to the insecticide imidacloprid would disrupt bumble bee energy metabolism, leading to changes in key metabolites involved in energy metabolism. We exposed Bombus impatiens workers to imidacloprid according to one of three exposure paradigms designed to explore how sustained versus more limited imidacloprid exposure influences energy metabolites. After bees were exposed to imidacloprid, they were subjected to artificial nectar starvation. Our results showed that the strongest effects of imidacloprid were observed when treated bees also experienced artificial nectar starvation, suggesting a combinatorial effect of neonicotinoids and nutritional stress on energy metabolism. Overall, this study provides important insights into the mechanisms underlying the impact of neonicotinoid insecticides on bumble bees and underscores the need for further investigation into the complex interactions between environmental stressors and bee metabolism.

Impact of monthly age model on coral paleothermometer fidelity: Insights from the northern South China Sea

The repository includes an Excel file and text file that was embedded in the submitted manuscript of  'Impact of monthly age model on coral paleothermometer fidelity: Insights from the northern South China Sea'. The Excel file includes two raw coral sr/ca records that has been published (https://doi.org/10.1177/0959683609337355;  https://doi.org/10.1029/2020PA004173);  The txt file includes python code for the manuscript.