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18,658 results for “impacts”
No impact of biocontrol agent's predation cues on development time or size of surviving Aedes albopictus under optimal nutritional availability
<p>Cyclopoid copepods have been applied successfully to limit populations of highly invasive <em>Aedes albopictus</em> mosquitoes that can transmit diseases of public health importance. However, there is concern that changes in certain mosquito traits, induced by exposure to copepod predation, might increase the risk of disease transmission. In this study, third instar <em>Ae. albopictus</em> larvae, hereafter referred to as "focal individuals", were exposed to <em>Megacyclops viridis</em> predator cues associated with both consumption of newly-hatched mosquito larvae and attacks on focal individuals. The number of newly-hatched larvae surrounding each focal larva was held constant to control for density effects on size, and the focal individual's day of pupation and wing length were recorded for each replicate. Exposing late instar <em>Ae. albopictus</em> to predation decreased their chances of surviving to adulthood, and three focal larvae that died in the predator treatment showed signs of melanization, indicative of wounding. Among surviving focal <em>Ae. albopictus</em>, no significant difference in either pupation day or wing length was observed due to copepod predation. The absence of a significant sublethal impact from <em>M. viridis</em> copepod predation on surviving later-stage larvae in this analysis supports the use of <em>M. viridis</em> as a biocontrol agent against <em>Ae. albopictus</em>.</p>
The model data of Potential Impact of Spring Thermal Forcing over the Tibetan Plateau on the Following Winter El Niño–Southern Oscillation
<p>This is the model data of "Potential Impact of Spring Thermal Forcing over the Tibetan Plateau on the Following Winter El Niño–Southern Oscillation". The data includes the last 20 years data of control run (CTRL), the 20 years data of TP–T experiment, and the wave activity flux difference between ensemble means of TP–T and CTRL. 2D is two dimensions. 3D is three dimensions.</p>
The impact of the SARS-COV2 infection on the disorder of consciousness rehabilitation unit
<p>Disorders of consciousness include coma (cannot be aroused, eye remain closed), vegetative state—VS (can appear to be awake, but unable to purposefully interact) and minimally conscious state—MCS (minimal but definite awareness). The objective of this study is to assess the impact of the SARS-CoV-2 infection on the Disorder of Consciousness (DOC) Rehabilitation Unit.This is a retrospective, longitudinal, descriptive, observational, pilot study. We consecutively enrolled 18 patients (age range: 40–72 years, 9 females and 9 males), from three to five months after a brain injury. They were grouped into VS (n = 8) and MCS (n = 10). A confirmed case of COVID-19 was defined as a positive result on high-throughput sequencing or real-time reverse-transcription polymerase chain reaction analysis of throat swab specimens. We collected data of lung Computed Tomography (CT) and laboratory exams. DOC patients who were positive for SARS-CoV-2 were classified into severe and no severe infected group, according to the American Thoracic Society guidelines.A total of 18 hospitalized patients with (16) and without confirmed (2) SARS-CoV-2 infection were included in the analysis. After one month, a follow-up clinical evaluation reported that one patient died, one patient was transferred from Covid Unit to Emergency Unit and 3 patients were resulted negative to double swab and they returned to Rehabilitative Unit. Significant differences were reported about hypertension, cardiac disease and respiratory problems between the patients with severe infection and patients without severe infection (P< 0.001). The laboratory findings, such as blood cell counts (<em>P</em> < 0.001), C-reactive protein, D-dimer, potassium and vitamin D levels, seemed to be considered as useful prognostic predictors.To our knowledge, this is the first longitudinal study on a sample of chronic DOC patients affected by SARS-CoV-2. This study may offer important new clinical information on COVID-19 for management of DOC patients. Our findings showed that for the subjects with severe infection due to COVID-19, rapid clinical deterioration or worsening could be associated with clinical and laboratory findings, which could contribute to high mortality rate. During the COVID-19 epidemic period, the clinicians should consider all the reported risk factors to avoid delayed diagnosis or misdiagnosis and to prevent the infection transmission in DOC Rehabilitation Unit.</p>
The distribution and impact of an invasive plant species (Senecio inaequidens) on a dune building engineer (Calamagrostis arenaria)
<p>These data sets are used to run the analyses in the paper '<em>The distribution and impact of an invasive plant species (</em>Senecio inaequidens<em>) on a dune building engineer (</em>Calamagrostis arenaria<em>)</em>' by Van De Walle et al., 2022, Neobiota (in progress).</p> <p>The presence/absence data (PA) of <em>Senecio inaequidens</em> in European coastal dunes can be found in 'Senecio_PA.xlsx', in the tab 'senecio_PA', together with the country and location where the occurrences were mapped. All coordinates of the samples are available in the tab 'coordinates samples'.</p> <p>'Marram_growth_experiment.xlsx' contains the data gathered during the growth experiment. The origin of the sand is subdivided in 3 columns: 'Location' represents the location along the Belgian coast where sand was gathered, 'senecio' represents whether sand was gathered from underneath a senecio plant or not and 'biota' represents whether biota could affect marram grass growth (biota = 0 thus means that the sand was sterilized).</p> <p> </p> <p><strong>Abstract</strong></p> <p>Disturbance is thought to enhance the probability of invasive species establishment, a prerequisite for naturalization. Coastal dunes are characterized by disturbance in the form of sand dynamics. We studied the effect of this disturbance on the establishment and spread of an invasive plant species (<em>Senecio inaequidens</em>) in European coastal dunes. Local sand dynamics dictate the spatial configuration of marram grass (<em>Calamagrostis arenaria</em>). Therefore, marram grass configuration was used as a reliable proxy for disturbance. As marram grass plays a crucial role in natural dune formation, we evaluated the possible effects <em>S. inaequidens</em> could have on this process, if it would be able to naturalize in European coastal dunes.</p> <p> We expected the highest probability of <em>S. inaequidens </em>establishment at intermediate marram grass cover because too low cover would increase sand burial, whereas high cover would increase competition. However, our results indicate that <em>S. inaequidens</em> is quite capable of handling higher levels of sand burial. Thus, probability of <em>S. inaequidens</em> establishment was high under low marram cover but slightly lowered when marram cover was high, hinting at the importance of competition.</p> <p>We expected a negative impact of <em>Senecio</em>-altered soils on marram grass growth mediated by soil biota. However, marram grass grew better in sand gathered underneath <em>Senecio</em> plants due to abiotic soil modifications. This enhanced growth may be caused by <em>Senecio</em> leaf litter elevating nutrient concentrations in an otherwise nutrient-poor substrate. If such increased plant growth is a general phenomenon, further expansion of <em>S. inaequidens</em> could accelerate natural succession in European coastal dunes.</p>
Architecture-based Uncertainty Impact Analysis for Confidentiality (Reproduction Set)
<p>Reproduction set for master thesis of Niko Benkler.</p> <p>Zip file contains code, data set and installation guides. </p> <p>Please open README.md to get information about content structure.</p>
Mixture effects in alkane/cycloalkane hydroconversion over Pt/HUSY : carbon number impact
<p>This repository includes characterization data (H<sub>2</sub>-O<sub>2</sub> titration and N<sub>2</sub> adsorption t-plot) associated with the publication: N.Korica, A.Ben Hassine, H.Dao Thi, L.Bergaoui, K.Van Geem, P.S.F.Mendes, J.De Clercq, J.W.Thybaut “Mixture effects in alkane/cycloalkane hydroconversion over Pt/HUSY : carbon number impact”, submitted to Fuel journal in December 2021.</p> <p>The impact of carbon number of reacting alkanes and cycloalkanes on mixture effects in hydroconversion over Pt/HUSY has been studied by experiments performed on high-throughput setup over Pt/HUSY catalyst with three different Pt loadings and HUSY zeolite with Si/Al molar ratio of 6. The dispersion of platinum over HUSY zeolite was determined by H<sub>2</sub>-O<sub>2</sub> titration, while the specific surface area was determined by t-plot N<sub>2</sub> adsorption. These data are classified based on the platinum loading and the characterization method.</p> <p>0.3 wt%Pt (H2-O2 titration) : The dispersion of 0.3 wt%Pt/HUSY</p> <p>0.3 wt%Pt (N2 ads t-plot) : The specific surface area of 0.3 wt%Pt/HUSY</p> <p>0.1 wt%Pt (H2-O2 titration) : The dispersion of 0.1 wt%Pt/HUSY</p> <p>0.1 wt%Pt (N2 ads t-plot) : The specific surface area of 0.1 wt%Pt/HUSY</p> <p>0.07 wt%Pt (H2-O2 titration) : The dispersion of 0.07 wt%Pt/HUSY</p> <p>0.07 wt%Pt (N2 ads t-plot) : The specific surface area of 0.07 wt%Pt/HUSY</p>
Mixture effects in alkane/cycloalkane hydroconversion over Pt/HUSY : carbon number impact
<p>This repository includes experimental data associated with the publication: N.Korica, A.Ben Hassine, H.Dao Thi, L.Bergaoui, K.Van Geem, P.S.F.Mendes, J.De Clercq, J.W.Thybaut “Mixture effects in alkane/cycloalkane hydroconversion over Pt/HUSY : carbon number impact”, submitted to Fuel journal in December 2021.</p> <p>The impact of carbon number of reacting alkanes and cycloalkanes on mixture effects in hydroconversion over Pt/HUSY has been studied by experiments on high-throughput setup by feeding equimolar mixtures of n-octane and tert-butylcyclohexane, and n-decane and methylcyclohexane. In order to investigate the above-mentioned impact, the kinetic behavior was examined at various experimental conditions, over Pt/HUSY catalyst with three different Pt loadings and HUSY zeolite with Si/Al molar ratio of 6.</p> <p>The process conditions which were used for every feed are summarized:</p> <ul> <li>Pure n-octane <ul> <li>Catalysts : 0.07 and 0.1 wt%Pt/HUSY (poorly- and well-balanced catalyst for pure <em>n</em>-octane)</li> <li>Temperature, K : 523 ; 543</li> <li>Pressure, bar : 10 ; 20</li> <li>Partial pressure of reactant, bar : 0.05</li> </ul> </li> <li>Pure tert-butylcyclohexane <ul> <li>Catalysts : 0.07 and 0.3 wt%Pt/HUSY</li> <li>Temperature, K : 523 ; 543</li> <li>Pressure, bar : 10 ; 20</li> <li>Partial pressure of reactant, bar : 0.05</li> </ul> </li> <li>Equimolar mixture of n-octane and tert-butylcyclohexane <ul> <li>Catalysts : 0.07 and 0.3 wt%Pt/HUSY</li> <li>Temperature, K : 523 ; 543</li> <li>Pressure, bar : 10 ; 20</li> <li>Partial pressure of each reactant, bar : 0.05</li> </ul> </li> <li>Pure n-decane <ul> <li>Catalysts : 0.07 and 0.3 wt%Pt/HUSY (poorly- and well-balanced catalyst for pure <em>n</em>-decane)</li> <li>Temperature, K : 523 ; 543</li> <li>Pressure, bar : 10 ; 20</li> <li>Partial pressure of reactant, bar : 0.05</li> </ul> </li> <li>Pure methylcyclohexane <ul> <li>Catalysts : 0.07 and 0.1 wt%Pt/HUSY</li> <li>Temperature, K : 523 ; 543</li> <li>Pressure, bar : 10 ; 20</li> <li>Partial pressure of reactant, bar : 0.05</li> </ul> </li> <li>Equimolar mixture of n-decane and methylcyclohexane <ul> <li>Catalysts : 0.07 and 0.3 wt%Pt/HUSY</li> <li>Temperature, K : 523 ; 543</li> <li>Pressure, bar : 10 ; 20</li> <li>Partial pressure of each reactant, bar : 0.05</li> </ul> </li> </ul> <p>The kinetics of hydroconversion of different alkane/cycloalkane feeds were compared based on conversion of reactants and yields to isomers. The data are classified based on figures in the Article.</p> <p>Figure 5 : <em>n</em>-Octane conversion as a function of space time at 10 bar pressure - comparison of experiments with pure <em>n</em>-octane and in mixture with methylcycyclohexane and tert-butylcyclohexane</p> <p>Figure 6 : Octane isomer yields as a function of <em>n</em>-octane conversion - comparison of experiments with pure <em>n</em>-octane and in mixture with tert-butylcyclohexane</p> <p>Figure 7 : tert-Butylcyclohexane conversion as a function of space time at 10 bar pressure - comparison of experiments with pure tert-butylcyclohexane and in mixture with <em>n</em>-octane</p> <p>Figure 8 : Butylcyclohexane isomer yields as a function of tert-butylcyclohexane conversion comparison of experiments with pure tert-butylcyclohexane and in mixture with <em>n</em>-octane</p> <p>Figure 9 : <em>n</em>-Decane conversion as a function of space time at 10 bar pressure - comparison of experiments with pure <em>n</em>-decane and in mixture with methylcyclohexane</p> <p>Figure 10 : Decane isomer yields as a function of <em>n</em>-decane conversion - comparison of experiments with pure <em>n</em>-decane and in mixture with methylcyclohexane</p> <p>Figure 11 : Methylcyclohexane conversion as a function of space time at 10 bar pressure - comparison of experiments with pure methylcyclohexane and in mixture with <em>n</em>-decane</p> <p>Figure S9 : <em>n</em>-Octane conversion as a function of space time at 20 bar pressure - comparison of experiments with pure <em>n</em>-octane and in mixture with methylcycyclohexane and tert-butylcyclohexane</p> <p>Figure S10 : <em>n</em>-Octane conversion as a function of space time - comparison of experiments with pure <em>n</em>-octane and in mixture with methylcycyclohexane and tert-butylcyclohexane</p> <p>Figure S13 : tert-Butylcyclohexane conversion as a function of space time at 20 bar pressure - comparison of experiments with pure tert-butylcyclohexane and in mixture with <em>n</em>-octane</p> <p>Figure S14 : tert-Butylcyclohexane conversion as a function of space time - comparison of experiments with pure tert-butylcyclohexane and in mixture with <em>n</em>-octane</p> <p>Figure S15 : <em>n</em>-Decane conversion as a function of space time at 20 bar pressure - comparison of experiments with pure <em>n</em>-decane and in mixture with methylcyclohexane</p> <p>Figure S16 : <em>n</em>-Decane conversion as a function of space time - comparison of experiments with pure <em>n</em>-decane and in mixture with methylcyclohexane</p> <p>Figure S17 : Methylcyclohexane conversion as a function of space time at 20 bar pressure - comparison of experiments with pure methylcyclohexane and in mixture with <em>n</em>-decane</p> <p>Figure S18 : Methylcyclohexane conversion as a function of space time - comparison of experiments with pure methylcyclohexane and in mixture with <em>n</em>-decane</p>
Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-fine Scales
<p>Data, plots, and software to accompany (unpublished) paper: Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-fine Scales. This work uses an ultra-fine, holistic environmental and biometric sensing paradigm to generate empirical particulate matter models estimated by biometric variables.</p> <p>GitHub repository: <a href="https://github.com/mi3nts/DUEDARE">https://github.com/mi3nts/DUEDARE</a></p>
Raw Data for the article: Functional Gastrointestinal Disorders in Patients With Epilepsy: Reciprocal Influence and Impact on Seizure Occurrence
<p><strong>Introduction:</strong> The complex relationship between the microbiota-gut-brain axis (MGBA) and epilepsy has been increasingly investigated in preclinical studies. Conversely, evidence from clinical studies is still scarce. In recent years, the pivotal role of MGBA dysregulation in the pathophysiology of functional gastrointestinal disorders (FGID) has been recognized. With this background, we aimed to investigate the prevalence of FGID in patients with epilepsy (PWE) and the possible impact of bowel movement abnormalities on seizure recurrence. <strong>Methods:</strong> A total of 120 PWE and 113 age-, sex-, and BMI-matched healthy subjects (HS) were consecutively enrolled. A questionnaire to evaluate the presence of FGID (according to Rome III diagnostic criteria) was administrated to all participants. In a subgroup of drug-resistant patients, we administered an <em>ad-hoc</em> questionnaire combining Bristol stool charts and seizure diaries to evaluate seizure trends and bowel movement changes. <strong>Results:</strong> A higher prevalence of FGID in PWE (62.5%) than in HS (39.8%) was found (<em>p</em> < 0.001). The most frequently observed disorder was constipation, which was significantly higher in PWE than in HS (43.3 vs. 21.2%, <em>p</em> < 0.001), and was not associated with anti-seizure medication intake according to multivariable analysis. In drug-resistant patients, most seizures occurred during periods of altered bowel movements, especially constipation. A significant weak negative correlation between the number of days with seizures and the number of days with normal bowel movements was observed (<em>p</em> = 0.04). According to multivariable logistic regression analysis, FGID was significantly associated with temporal lobe epilepsy as compared with other lobar localization (<em>p</em> = 0.03). <strong>Conclusions:</strong> Our clinical findings shed new light on the complex relationship between epilepsy and the MGBA, suggesting a bidirectional link between bowel movement abnormalities and seizure occurrence. However, larger studies are required to better address this important topic.</p>
Historical Data for paper "When will humanity notice its impacts on atmospheric rivers?"
<p>The repository contains the historical scenario simulation (one ensemble member) of GFDL SPEAR large ensemble data. The data is used to support the finding in the paper entitled "When will humanity notice its impacts on atmospheric rivers?" by Tseng et al. </p>
SSP2-4.5 Data for paper "When will humanity notice its impacts on atmospheric rivers?"
<p>The repository contains the SSP2-4.5 scenario simulation (one ensemble member) of GFDL SPEAR large ensemble data. The data is used to support the finding in the paper entitled "When will humanity notice its impacts on atmospheric rivers?" by Tseng et al.</p>
SSP5-8.5 Data for paper "When will humanity notice its impacts on atmospheric rivers?"
<p>The repository contains the SSP5-8.5 scenario simulation (one ensemble member) of GFDL SPEAR large ensemble data. The data is used to support the finding in the paper entitled "When will humanity notice its impacts on atmospheric rivers?" by Tseng et al.</p>
Modelling the origin, fate, and ecological and health impacts of heavy metals from an abandoned mercury mine in a paradise island in the Philippines
<p>This document contains supplementary tables for the article entitled "Modelling the origin, fate, and ecological and health impacts of heavy metals from an abandoned mercury mine in a paradise island in the Philippines"</p>
Human impact, climate and dispersal strategies determine plant invasion on islands
<p><span><strong>Aim:</strong></span></p> <p><span>Biological invasions are likely determined by species dispersal strategies as well as environmental characteristics of a recipient region, especially climate and human impact. However, the contribution of climatic factors, human impact and dispersal strategies in driving invasion processes is still controversial and not well embedded in the existing theoretical considerations. Here, we study how climate, species dispersal strategies and human impact determine plant invasion processes on islands distributed in all major oceans in the context of directional ecological filtering. </span></p> <p><span><strong>Location:</strong></span></p> <p><span>Six mountainous, tropical and subtropical islands in three major oceans: Island of Hawai'i and Maui (Pacific), Tenerife and La Palma (Atlantic), La Réunion and Socotra (Indian Ocean).</span></p> <p><span><strong>Taxon:</strong></span></p> <p><span>Vascular Plants.</span></p> <p><span><strong>Methods:</strong></span></p> <p><span>We recorded 360 non-native species in 218 plots along roadside elevational transects covering the major temperature, precipitation and human impact (i.e. road density) gradients of the islands. We collected dispersal strategies for a majority of the recorded species and calculated the environmental niche per species using a hypervolume approach. </span></p> <p><span><strong>Results:</strong></span></p> <p><span>Non-native species' generalism (i.e., mean community niche width) increased with precipitation, elevation and human impact but showed no relationship with temperature. Increasing precipitation led to environmental filtering of non-native species resulting in more generalist species under high precipitation conditions. We found no directional filtering for temperature but an optimum range of most species between 10 and 20°C. Niche widths of non-native species increased with the prevalence of certain dispersal strategies, particularly anemochory and anthropochory. </span></p> <p><span><strong>Main conclusions:</strong></span></p> <p><span>Plant invasion on tropical and subtropical islands seems to be mainly driven by precipitation and human impact, while temperature seems to be of little importance. Furthermore, anemochory and anthropochory are dispersal strategies associated with large niche widths of non-native species. Our study allows a more detailed look at the mechanisms behind directional ecological filtering of non-native plant species in non-temperature limited ecosystems. </span></p>
Dose relationships can exacerbate, mute, or reverse the impact of heterospecific host density on infection prevalence
The likelihood an individual becomes infected depends on the community in which it is embedded. For environmentally transmitted parasites, host community composition can alter host density, the density of parasites that hosts encounter in the environment, and the dose to which hosts are subsequently exposed. While some multi-host theory incorporates some of these factors (e.g., competition among hosts), it does not currently consider the nonlinear relationships between parasite exposure dose and per-propagule infectivity (dose-infectivity relationships), between exposure dose and infected host mortality (dose-mortality relationships), and between exposure dose and parasite propagule excretion (dose-excretion relationships). This makes it difficult to predict the impact of host species on one another's likelihood of infection. To understand the implications of these non-linear dose relationships for multi-host communities, we first performed a meta-analysis on published dose-infectivity experiments to quantify the proportion of accelerating, linear, or decelerating dose-infectivity relationships; we found that most experiments demonstrated decelerating dose-infectivity relationships. We then explored how dose-infectivity, dose-mortality, and dose-excretion relationships might alter the impact of heterospecific host density on infectious propagule density, infection prevalence, and density of a focal host using two host, one parasite models. We found that dose relationships either decreased the magnitude of the impact of heterospecific host density on propagule density and infection prevalence via negative feedback loops (decelerating dose-infectivity relationships, positive dose-mortality relationships, and negative dose-excretion relationships), or increased the magnitude of the impact of heterospecific host density on infection prevalence via positive feedback loops (accelerating dose-infectivity relationships and positive dose-excretion relationships). Further, positive dose-mortality relationships resulted in hosts that traditionally decrease disease (e.g. low-competence, strong competitors) increasing infection prevalence, and vice versa. Finally, we found that dose-relationships can create positive feedback loops that facilitate friendly competition (i.e., increased heterospecific density has a positive effect on focal host density because the reduction in disease outweighs the negative effects of interspecific competition). This suggests that without taking dose relationships into account, we may incorrectly predict the effect of heterospecific host interactions, and thus host community composition, on environmentally transmitted parasites.
Nuclear phylogeography reveals strong impacts of gene flow in big brown bats
<p><strong>Aim: </strong>Understanding speciation mechanisms requires disentangling processes that promote and erode population-level divergence. Three hypotheses are raised that contemporary population structure is mainly shaped by refugial divergence, post-glacial gene flow, or combined effects of both. Testing these hypotheses requires range-wide phylogeography and integrative analyses across scales. Here we aim to 1) re-estimate the previously unresolved nuclear phylogeography of a widespread bat; 2) test the above three phylogeographic hypotheses; and 3) inform conservation management under climate change.</p> <p><strong>Location: </strong>North America including Caribbean.</p> <p><strong>Taxon: </strong>The big brown bat (<em>Eptesicus fuscus</em>).</p> <p><strong>Methods:</strong> We collected range-wide samples and genome-wide markers using restriction site-associated DNA sequencing. Population structure was analyzed by clustering methods and spatial estimations. Nuclear phylogeography was estimated using tree methods (concatenation and coalescent) and network analyses (TreeMix). Phylogeographic hypotheses were tested by comparing alternative evolutionary scenarios using demographic modeling. Species distribution modeling was used to help identify Pleistocene refugia and predict future range shifts under climate change.</p> <p><strong>Results: </strong>We identified three populations in the Caribbean, Eastern, and Western North America. The west population further split into three phylogeographic clades in Pacific, Southwestern North America, and Mexico. Discordances among mitochondrial and nuclear topologies reflected strong impacts of gene flow without sex biases. Demographic modeling supported scenarios of historical isolation followed by secondary gene flow and estimated Holocene divergence time. Species distribution was overall continuous during glaciation with possible regional isolation, and northward range shifts were predicted under future climate change.</p> <p><strong>Main Conclusions: </strong>Our results supported the hypothesis that combined effects of historical isolation and secondary gene flow shaped the contemporary population divergence. We showed that climate change probably triggered the initial divergence and that gene flow has strong impacts on the observed nuclear phylogeography. Our empirical study demonstrates dynamic within-species processes generating the population divergence that predates speciation.</p>
Appendix of "Impact of Change Granularity in Refactoring Detection"
<p>This is the dataset for ICPC 2022 Impact of Change Granularity in Refactoring Detection, which contains data about coarse-grained refactorings in 19 open source repositories.</p> <p>There are 19 csv files in this dataset. Each of the csv contains 8 rows:</p> <p>1. repository: repository name <br> 2. commit(s): commit SHA-1 hash<br> 3. detected_refactoring_type: refactoring type detected in that commit<br> 4. description: description for that refactoring<br> 5. leftSideLocations: refactoring start place<br> 6. rightSideLocations: refactoring end place<br> 7. is_effective: whether this refactoring is a coarse-grained refactoring (null for refactoring whose coarse-granularity is equal to 1)<br> 8. granularity: coarse-granularity of this refactoring</p> <p>Note that refactorings detected using RefactoringMiner(2.2) with invalid locations has been excluded.</p>
Impacts of wind power on air quality, premature mortality, and exposure disparities in the United States
<p>This repo includes supporting material for the publication:</p> <p>Qiu, M., Zigler, C. M., & Selin, N. E. (2022). Impacts of wind power on air quality, premature mortality, and exposure disparities in the United States. <em>Science Advances</em>, <em>8</em>(48), eabn8762.</p> <p>Please download and unzip the file "<a href="https://zenodo.org/api/files/bef77248-ca65-4ae6-9a92-ad00fc068665/mhqiu/wind_pollution_EJ-v1.0.zip?versionId=a9b5b8e9-273c-4431-a101-4f9a4c331675">mhqiu/wind_pollution_EJ-v1.0.zip</a>". Please see README for a full description of the sample data included in this repo. </p> <p><strong>README</strong></p> <p><strong>1. Regression results: </strong><br> <em>EGU_regression_scenario_results.xlsx </em><br> It includes regression results for each EGU in our sample (1264 EGUs in total). </p> <p><strong>2. Air quality simulation results:</strong><br> <strong>2.1 GEOS-Chem simulation</strong><br> <em>GC_daily_pm25_o3_scenarios.nc </em><br> It contains surface level annual mean PM2.5 and MDA8 O3 concentration under different emission scenarios. We include four scenarios in total:<br> - baseline scenario: air quality **without** the amount of wind power associated with 2014 RPS targets <br> - expost scenario: air quality with the wind power associated with 2014 RPS targets under the current dispatch decisions<br> - health damage minimizing scenario: air quality with the wind power associated with 2014 RPS targets under a hypothetical dispatch scenario that minimizes the health damage<br> - CO2 minimizing scenario: air quality with the wind power associated with 2014 RPS targets under a hypothetical dispatch scenario that minimizes the CO2 emissions</p> <p>Therefore, to calculate the air quality impacts of wind power under different dispatch decisions: <br> current (ex post) = ex post - baseline. <br> health damage minimizing = health damage minimizing - baseline. <br> CO2 minimizing scenario = CO2 minimizing - baseline. </p> <p><strong>2.2 InMAP simulations</strong><br> <em>InMAP/xx.shp </em><br> The shapefiles contain annual mean PM2.5 concentration simulated with InMAP under different emission scenarios. <br> baseline.shp: baseline scenario <br> ex post.shp: ex post scenario <br> health_damage_minimizing.shp: health damage minimizing scenario <br> co2_minimizing.shp: CO2 minimizing scenario</p> <p>Descriptions of the four scenarios are the same as above for GEOS-Chem.</p> <p><strong>3. County-level air quality change for different demographic groups (GEOS-Chem)</strong><br> <em>county_pm_o3_changes_by_groups_GEOS_CHEM.xlsx </em><br> This file contains changes in county-level simulated PM2.5 and O3 concentrations due to wind power under different scenarios. It also includes the total population at the county level and the population for each subgroup. This data can be used to calculate the distributional effects of air quality benefits across different population groups.</p> <p> </p> <p> </p>
Low toxicity crop fungicide (Fenbuconazole) impacts reproductive male quality signals leading to a reduction of mating success in a wild solitary bee
<p>Recent reports on bee health suggest that sub-lethal doses of pesticides have negative effects on wild bee reproduction and ultimately on their population growth.</p> <p>Females of the solitary horned mason bee, Osmia cornuta, evaluate thoracic vibrations and odours of males to assess male quality. When certain criteria are met, the female accepts the male and copulates. However, these signals were found to be modified by sub-lethal doses of pesticides in other hymenopterans. Here, we tested whether sub-lethal doses of a commonly used fungicide (Fenbuconazole) impact male quality signals and mating success in O. cornuta.</p> <p>Males exposed to Fenbuconazole exhibited reduced thoracic vibrations and an altered cuticular hydrocarbon profile compared to the control bees. Moreover, males exposed to the fungicide were less successful in mating than control males.</p> <p>Synthesis and applications: Our results indicate that a low toxicity fungicide can negatively affect male reproductive success by altering behavioural and chemical cues. This could explain the decreasing pollinator populations in a pesticide-polluted environment. This study highlights the need for a more comprehensive approach, including behaviour and chemical cues, when testing new pesticides and a more cautionary approach to the pesticides already used on crops.</p>
Summary statistics from "Impact of medication on blood transcriptome reveals off-target regulations of beta-blockers"
<p>The zipped csv-file is comma-delimited and contains the following columns:</p> <p>identifier: Probe number and associated active substance<br> PROBE_ID.Adult: Probe number<br> logFC.Adult: log fold change of specific probe in LIFE-Adult<br> SE.Adult: Stand error for probe in LIFE-Adult<br> P.Value.Adult: p-value for probe in LIFE-Adult<br> qval.Adult: q-value for probe in LIFE-Adult<br> medi.Adult: associated active substance in in LIFE-Adult<br> P.Value.Heart: p-value for probe in LIFE-Heart<br> logFC.Heart: p-value for probe in LIFE-Heart<br> SE.Heart: Standard error for probe in LIFE-Heart<br> qval.Heart: q-value for probe in LIFE-Heart<br> medi.Heart: associated active substance in LIFE-Heart<br> symbol_INGENUITY: Gene associated with probe according to Ingenuity<br> description_INGENUITY: Description of gene associated with probe according to Ingenuity</p> <p>For LIFE-Adult the results were calculated for all probes associated with the relevant 83 active substances described. For LIFE-Heart results were only calculated for probes that were also available LIFE-Adult.</p>
ScienceDex guides
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.