Find research datasets worth reusing

opencc-zeroAug 2023View details →

Plant water limitation and its impact on the oviposition preferences of the monarch butterfly, Danaus plexippus (Lepidoptera: Nymphalidae)

Intensifying drought conditions across the western United States due to global climate change are altering plant-insect interactions. Specialist herbivores must find their host plants within a matrix of nonhosts, and thus often rely upon specific plant secondary chemistry for host location and oviposition cues. Climate-induced alterations to plant chemistry could thus affect female selection of larval food-plants. Here, we investigated whether host-plant water limitation influenced oviposition preference in a threatened invertebrate: the monarch butterfly (Danaus plexippus). We found that females deposited more eggs on reduced-water than on well-watered narrowleaf milkweed plants (Asclepias fascicularis), but we could not attribute this change to any specific change in plant chemistry. Specialist herbivores, such as the monarch butterfly, which are tightly linked to specific plant cues, may experience a shift in preferences under global-change conditions. Understanding oviposition preferences will be important to directing ongoing habitat restoration activities for this declining insect.

Simulations for impacts of large-scale Saharan solar farms on the global terrestrial carbon cycle

Four experiments were conducted to investigate the impact of a large scale Saharan solar farm on the global carbon cycle. Here a fully coupled Earth System model (ESM) EC-Earth was used to investigate the impact of a Saharan solar farm on the terrestrial carbon cycle, simulated with prescribed reduced surface albedo approximating the albedo effect of Photovoltaic (PV) solar panels over the Sahara desert. These experiments considered solar panel coverage at 5, 20 or 50% of a region of the Sahara Desert.  The dataset contains selected output data from the simulations. Simulations were run for 200 years. The last 60 years were used for analysis after the model reached an equilibrium.  The dataset contains Earth system model results from EC-Earth3 presented in the study by Power et al. (2023).

The Impact of Digital Platforms on Micro and Small Enterprises (MYPES) in Lima, Peru

Background: Since the emergence of the internet, the world has become increasingly interconnected and digitized. Digital platforms have emerged as a transformative force that redefines the economy and commerce at large. MYPES in Peru face various challenges and new landscapes characterized by the growing influence of these platforms on their operations and growth opportunities. Therefore, this research aims to examine how digital platforms have provided MYPES with the opportunity to maintain a market presence and understand the challenges MYPES face when using such platforms. Method: Descriptive study with a quantitative and non-experimental approach. The population consisted of a total of 39,630 companies from the Gamarra Commercial Emporium, and the sample comprised 385 MYPES engaged in clothing sales from the same study location. Infinite population assumptions were used for sample calculation. A survey was administered. Results: Social media platforms such as Facebook, Instagram, Telegram, WhatsApp, and TikTok were the main platforms used by the studied MYPES (67.5%). 12.8% indicated having an online store, 18.9% had some form of webpage or web platform, and only 0.4% used mobile applications. Conclusion: In conclusion, most of MYPES have adopted social media as their primary digital platform and recognize its significance in the growth and survival of their businesses.

Scripts, inputs and outputs of Module 4 ANOVA test regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project

All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder.  The attached folder contains the following: Module 4_Calculation of ANOVA test (the input, formulation, macros, and scripts of ANOVA test per each IP4MaaS demo site). The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here.

Scripts, inputs and outputs of Module 5 USI travellers, TSPs and Effectiveness regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project

All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder.  The attached folder contains the following: Module 5_Results and outputs of USI Travellers, USI TSPs, Effectiveness (Travellers & TSPs) and the average of Effectiveness of all functionalities individually across all 6 demo sites (inputs, calculation, formulation, scripts of USI travellers, TSPs and Effectiveness per each IP4MaaS demo site). The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here.

Scripts, inputs and outputs of Module 1 AHP analysis regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project

All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder.  The attached folder contains the following: Module 1_AHP and Pairwise comparison matrix calculation_IP4MaaS II (formulations and calculations of pairwise comparison matrix per each IP4MaaS demo site). The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here.

Scripts, inputs and outputs of Module 2 Regression analysis regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project

All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder.  The attached folder contains the following: Module 2_Regression analysis (inputs, scripts, and formulations of regression analysis per each IP4MaaS demo site). The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here.

opencc-by-4.0May 2023View details →

Dataset and Python Scripts used in the manuscript "Global-MHD Simulations using MagPIE : Impact of Flux Transfer Events on the Ionosphere"

Dataset and Python Scripts used in the manuscript "Global-MHD Simulations using MagPIE : Impact of Flux Transfer Events on the Ionosphere". Authors: Arghyadeep Paul, Antoine Strugarek and Bhargav Vaidya Date: 21 May, 2023   <ul> <li>Figure 1 has been plotted from two data files named Bx_By_Bz_prs_t_4783_C0.vtk and Bx_By_Bz_prs_t_4783_C1.vtk using the visualisation toolkit VisIt. Visit can be freely downloaded from https://wci.llnl.gov/simulation/computer-codes/visit</li> <li>Figure 2 has been plotted using the ipython notebook named "figure_2.ipynb" and the associated data files have been uploaded alongwith.</li> <li>Figure 3 has been plotted using the data file named "visit_prs_Bx_By_Bz_t_4964s.vtk" and the visualisation toolkit VisIt.</li> <li>Figure 4 has been plotted using the associated data files and the visualisation toolkit VisIt.</li> <li>Figures 5 and 6 has been plotted using the ipython notebook named "new_fig_5_and_6.ipynb" and the associated data files have been uploaded alongwith.</li> <li>Figure 7 has been plotted using the ipython notebook named "figure_7.ipynb" and the associated data files have been uploaded alongwith.</li> <li>Figure 8 has been plotted using the ipython notebook named "figure_8.ipynb" and the associated data files have been uploaded alongwith.</li> <li>Figure 9 has been plotted using the ipython notebook named "figure_9.ipynb" and the associated data files have been uploaded alongwith. An example swarm CSV data file is added for the python script. The original SWARM data can be downloaded from <a href="https://swarm-diss.eo.esa.int/">https://swarm-diss.eo.esa.int/</a> and the FAC data from two spacecrafts, Swarm A and C, named SW_OPER_FAC_TMS_2F has been used. This data was first published in Dong et.al. 2023 [https://doi.org/10.1029/2022GL102460].</li> </ul>

Data for the manuscript "Bridged Nucleic Acid ASOs over Locked Nucleic Acid ASOs and their impact on the structure and stability of ASO/RNA duplexes"

The dataset contains: DFT and MD Data for the manuscript "Bridged Nucleic Acid ASOs over Locked Nucleic Acid ASOs and their impact on the structure and stability of ASO/RNA duplexes".

opencc-zeroAug 2023View details →

Data for: The relative impact of parental and current environment on plant transcriptomes depends on type of stress and genotype

Through developmental plasticity, an individual organism integrates influences from its immediate environment with those due to the environment of its parents. While both effects on phenotypes are well documented, their relative impact has been little studied in natural systems, especially at the level of gene expression. We examined this issue in four genotypes of the annual plant Persicaria maculosa by varying two key resources light and soil moisture in both generations. Transcriptomic analyses showed that the relative effects of parent and offspring environment on gene expression (i.e., the number of differentially expressed transcripts, DETs) varied both for the two types of resource stress and among genotypes. For light, immediate environment induced more DETs than parental environment for all genotypes (although the precise proportion of parental versus immediate DETs varied among genotypes). By contrast, the relative effect of soil moisture varied dramatically among genotypes, from 8-fold more DETs due to parental than immediate conditions to 10-fold fewer. These findings provide evidence at the transcriptome level that the relative impacts of parental and immediate environment on the developing organism may depend on the environmental factor and vary strongly among genotypes, providing potential for the interplay of these developmental influences to evolve.

Dataset for "System-level Impacts of Voluntary Carbon-free Electricity Procurement Strategies"

This is the full dataset for "System-level Impacts of Voluntary Carbon-free Electricity Procurement Strategies." It includes zip files containing model input and results data for all cases referenced in the paper. Cases are named under the following conventions: <ul> <li>The case name begins with either "CA" or "WYCO", indicating that it focuses on participating voluntary demand in the California region or the Wyoming & Colorado region, respectively.</li> <li>Cases containing "_ncp_" are baseline cases with no participation in voluntary carbon-free electricity procurement. </li> <li>Cases containing "_100apa_" model 100% volumetric matching. </li> <li>Cases containing "_100s_" model 100% emissions matching. </li> <li>Cases containing "_##h_" model ##% temporal matching. </li> <li>Cases containing "_##ci_" model ##% of local C&I demand participating in the given voluntary procurement strategy.</li> <li>Cases containing "adv" and "noccszcf" are those with "Advanced Technologies, No Combustion"</li> <li>Cases containing "adv" but not "noccszcf" are those with "Advanced Technologies, Full Portfolio"</li> <li>Cases containing neither "adv" nor "noccszcf" are those with "Established Technologies"</li> <li>Cases containing "noexcess" are those where no excess sales are permitted</li> <li>Cases containing "unlimex" are those where unlimited excess sales are permitted</li> <li>Cases containing "CES80" are those with a system-wide 80% clean electricity standard</li> </ul> In addition to input and results files, this dataset also includes the source code for the version of the GenX electricity system optimization model used to run the cases. Finally, it includes csv files containing the 8760-hour profiles for total demand and C&I demand before time domain reduction was applied.

Phytochemical diversity impacts herbivory in a tropical rainforest tree community

Metabolomics provides an unprecedented window into diverse plant secondary metabolites that represent a potentially critical niche dimension in tropical forests underlying species co-existence. Here, we used untargeted metabolomics to evaluate chemical composition of 358 tree species and its relationship with phylogeny and variation in light environment, soil nutrients, and insect-herbivore leaf damage in a tropical rain forest plot. We report no phylogenetic signal in most compound classes, indicating rapid diversification in tree metabolomes. We found that locally co-occurring species were more chemically dissimilar than random, and that local chemical dispersion and metabolite diversity was associated with lower herbivory, especially that of specialist insect herbivores. Our results highlight the role of secondary metabolites in mediating plant-herbivore interactions and their potential to facilitate niche differentiation in a manner that contributes to species coexistence. Furthermore, our findings suggest that specialist herbivore pressure is an important mechanism promoting phytochemical diversity in tropical forests.

opencc-by-4.0Jul 2023View details →

Dataset of OFES2 ensemble simulations for Impact of atmospheric wind on SST in the northwestern Pacific

Dataset to plot figures and make tables in Sasaki et al., Impact of atmospheric wind on sea surface temperature in the Kuroshio-Oyashio confluence and Oyashio southward intrusion regions.

Dataset for the paper "Under pressure. Exploring the impact of cognitive factors on clitics placement in L2 Slovak"

This paper investigates word order of clitics in L2 Slovak and the possible impact of cognitive factors on it. Based on data from learner corpus, the paper makes a first attempt at a more thorough inquiry of ordering patterns in the interlanguage of non-native speakers of Slovak to assess whether cognitive principles of contiguity, relevance, and verb-object bonding possibly have an effect on preferential clitics placement, irrespectively of L1. As proxies for cognitive effects on word order, linguistic and (psycho)linguistic predictors are used, such as proficiency level to consider the possible developmental patterns of word order competence and L1 language group of speakers (languages with clitics W-systems and C-systems within Slavic group). The dataset includes 1051 sentences with annotated erroneous placement of clitics from learner corpus errkorp-1.0 developed under the Slovak National Corpus. The data are further annotated manually with respect to relevant variables (type of clitic component, syntactic environment in which this component occurs, expected and actual distance of clitic component from matrix verb in terms of linear dependency segments and syntactic words, actual and expected position of clitic component on right or left periphery of the matrix verb, proficiency level according to CEFR and L1 language group of speakers).

Baixada Santista 2020 event analysis - Attribution and Synopsis of Landslide Impacts from Precipitation

Dataset used for the Baixada Santista 2020 event analysis during the Attribution and Synopsis of Landslide Impacts from Precipitation (ASLIP) Workshop as part of the Climate Science for Service Partnership Brazil.  Notes: impact_data: data from land cover change (retrieved from https://brasil.mapbiomas.org/), socioeconomic impacts (https://s2id.mi.gov.br/) and susceptibility to landslides (https://www.cprm.gov.br/) df_rxmax_climat: data from HadGEM3 (15 members) and CPC for the climatological period of study df_rxmax_event: data from HadGEM3 (525 members) and CPC for the event occurred in March 2020 pluviometer_analysis_historical: data processing scripts and precipitation observational data soilMoistureCPC_data: mean integrated soil moisture data from SMAP and precipitation data from CPC for the studied area

Protecting the resource: an assessment of mitigation methods used to protect large trees from African elephant impact in a savanna system

African elephants (Loxodonta africana) can alter the structural components of savanna ecosystems, often through the reduction of the large tree (>5 m height) cover component. Elephant impact can be amplified in small, protected areas, or areas where water is readily available to elephants. One management option is to protect large trees directly using applied mitigation methods to limit elephant impact. In this paper, we assessed and compared the effectiveness and logistical requirements of four mitigation methods that have been applied to protect large trees from elephant impact in South Africa's Greater Kruger National Park - namely African honeybees (Apis mellifera scutellata) in beehives; creosote oil in glass jars, concrete pyramids arranged in circles around trees, as well as wire-netting the trees' main stems. For each method, elephant impact levels and tree mortality rates were measured over a 2–5-year period depending on the method in use. Sample sizes ranged from 43 to 59 trees per mitigation method, with a comparable control, which was a tree of the same species and morphological dimensions but lacking any mitigation application. Beehives were the most effective method at reducing tree loss, significantly reducing tree mortality from 34% (6.8%/year) in control trees to only 10% (2%/year) over the five-year experimental period. However, beehives were the most expensive method to apply to a tree, although this cost can be compensated through honey sales. Concrete pyramids reduced tree loss when the combined pyramid radius was >1.5 m in length, whilst wire-netting was effective against bark-stripping by elephants but was still vulnerable to heavier forms of impact such as uprooting and stem snapping. Creosote jars did not prevent elephants from impacting treated trees. Our results provide managers with a toolkit for protecting large trees against elephant impact, commenting on both the efficacy and the logistical constraints for each method.

QMT Pollen and Charcoal Data for "Anthropogenic impact on mountain vegetation of Southeast China lagged coastal plains by 2000–4000 years"

This data is the percentage&concentration of pollen and charcoal in Qianmutian peatland located in Southeast China for the article“Anthropogenic impact on mountain vegetation of Southeast China lagged coastal plains by 2000–4000 years”.

Increased impact sensitivity in ageing high explosives: Analysis of Amatol extracted from explosive remnants of war

Millions of tonnes of explosive remnants of war remain in nature, and the volume is continuously growing. The explosive legacy of wars represents an increasing threat to the environment and to societal safety and security. As munitions continue to deteriorate, harmful constituents will eventually leak into the environment, poisoning ecological receptors and contaminating the surrounding soil and groundwater. Deteriorating munitions may also become increasingly sensitive to external stimuli and may be susceptible to accidental detonation. To thoroughly assess how to address these ageing munitions, we must first establish certain threshold values for the safe and secure handling and final disposal of the explosive ordnance. One key factor is to establish how the impact sensitivity of the explosives evolves over time. In the present work, we investigated the high explosive substance Amatol extracted from ageing explosive remnants of war. The results obtained in the analysis indicate that the high explosives in the examined specimens generally were much more sensitive to impact than previously assumed. Furthermore, the analysis revealed that the standardised methodology of impact sensitivity testing was insufficient for estimating the sensitivities in question, and a more careful statistical analysis was required.

ChatGPT impacts in programming education: A short list of input questions and output answers from ChatGTP

Five questions (in red) were addressed to ChatGTP ver3.5 between the period July 24th – July 28th 2023, in order to identify the opinion of ChatGTP in the field of computer science programming and programmers training. It is chosen to pose questions related to the main applications, advantages, disadvantages, future implications, and ethical considerations.

Herbivory and elevated levels of CO2 and nutrients separately, rather than synergistically, impacted biomass production and allocation in invasive and native plant species

Large parts of the Earth are experiencing environmental change caused by alien plant invasions, rising atmospheric concentration of carbon dioxide (CO2), and nutrient enrichments. Elevated CO2 and nutrient concentrations can separately favour growth of invasive plants over that of natives but how herbivory may modulate the magnitude and direction of net responses by the two groups of plants to simultaneous CO2 and nutrient enrichments remains unknown. In line with the enemy release hypothesis, invasive plant species should reallocate metabolites from costly anti-herbivore defences into greater growth following escape from intense herbivory in the native range. Therefore, invasive plants should have greater growth than natives under simultaneous CO2 and nutrient enrichments in the absence of herbivory. To test this prediction, we grew nine congeneric pairs of invasive and native plant species that naturally co-occurred in grasslands in China under two levels each of nutrient enrichment (low-nutrient vs. high-nutrient), herbivory (with herbivory vs. without herbivory) and under ambient (412 ± 0.6 ppm) and elevated (790.1 ± 6.2 ppm) levels of CO2 concentrations in open-top chambers in a common garden. Elevated CO2 and nutrient enrichment separately increased total plant biomass, while herbivory reduced it regardless of the plant invasive status. High-nutrient treatment caused the plants to allocate a significantly lower proportion of total biomass to roots, while herbivory induced an opposite pattern. Herbivory suppressed total biomass production more strongly in native plants than invasive plants. The plants exhibited significant interspecific and intergeneric variation in their responses to the various treatment combinations. Overall, these results suggest that elevated CO2 and nutrients and herbivory may separately, rather than synergistically, impact productivity of the invasive and co-occurring native plant species in our study system. Moreover, interspecific variation in resource-use strategies was more important than invasive status in determining plant responses to the various treatment combinations.