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18,658 results for “impacts”
Database review of studies on the impact of flavonoids released in nanoparticles on cytokine production.
<p>This table contains the data extracted from the source of evidence to analyze the role of flavonoids encapsulated in nanoparticles in the regulation of pro-inflammatory cytokines.</p>
CESM experiments for "Oceanic repeaters boost the global climatic impact of the Tibetan Plateau"
<p>This dataset is the outputs and codes of CESM experiments performed by the authors for their study titled, "Oceanic repeaters boost the global climatic impact of the Tibetan Plateau", which was submitted to Science Bulletin. There were six CESM experiments, namely amip-hist, amip-TIP-nosh, amip-TIP-alb0.5, amip-TIP-sh0.5, cmip-hist, and cmip-TIP-sh0.5. The CESM model (version 2.1.3) was provided by NCAR/UCAR. In all the experiments, hist (historical) experiments were control runs, whereas the TIP (Tibetan–Iranian Plateau coupling system) -labeled experiments were sensitivity runs.</p>
COVID-19 Impact on European Higher Education Survey Data
<p>This dataset consists of the results of the first European-Union-wide survey on the potential long-term impacts of COVID-19 on higher education (Huth, M. & Cominola, A., 2022 forthcoming), evaluating over 800 responses from students and faculty members of higher education institutions located in 17 different European countries. The data consists of variables related to the actual pre-pandemic, pandemic and intended future frequency of use of various educational tools and formats, as well as students and faculty members' attitude toward retaining digital teaching formats and media post-pandemic. The data is shared in SPSS file format (.sav) and as a .CSV file. A detailed item bank label overview is attached in excel format. The attitude related items consists of Technology Acceptance Model (TAM) construct variables following items used by Rizun et al. (2021) and Vladova et al. (2021). Following guidelines (Hair et al. 2019; Henseler, Ringle, and Sarstedt 2015) to establish discriminant validity before analysing the TAM variables in a structural equation model, the objective had to be disregarded. The data might still yield interesting descriptive insights nonetheless, which is why they are published here along with the variables used in the forthcoming publication by Huth and Cominola (2022). </p>
Drugs prescribed in Phelan-McDermid Syndrome differentially impact sensory behaviors in shank3 zebrafish models
<p>Altered sensory processing is a pervasive symptom in individuals with Autism Spectrum Disorders (ASD). Especially in cases of profound autism, individuals are often medicated to manage behaviors like aggression and/or self-harm and/or epilepsy, and it remains unclear how these medications might impact perception/sensory processing. To test this, we screened three medications, risperidone, Lithium Chloride (LiCl), and carbamazepine (CBZ), prescribed to individuals with Phelan-McDermid Syndrome (PMS) and one drug, 2-Methyl-6-(phenylethynyl) pyridine (MPEP) tested in rodent models of PMS, for their effects on a sensory-induced behavior in two zebrafish PMS models with frameshift mutations in the N- or C- termini. PMS is caused by deletions of the terminal end of chromosome 22 or point mutations in <em>Shank3</em>. People with PMS can present with an array of symptoms including ASD, epilepsy, gastrointestinal distress, and reduced responses to sensory stimuli. Our zebrafish mutant shank3ab models likewise show reduced responses in a Visual Motor Response (VMR) assay, in which increased locomotion is triggered by light-to-dark transitions. To test how pharmacological treatments affect the VMR, we exposed larvae to selected drugs for twenty-four hours and then quantified their locomotion during four ten-minute cycles of lights on-to-off stimuli. We found that risperidone normalized the VMR in <em>shank3</em> models, LiCl and CBZ had no effect on the VMR in any of the three genotypes. MPEP reduced the VMR in WT to levels seen in <em>shank3</em> models but caused no changes in either <em>shank3</em> model. Our work shows that the effects of drugs on sensory processing is varied in a way that can be highly genotype- and drug-dependent.</p>
Data for: Bed-scale impact and recovery of a commercially important intertidal seaweed
<p>As the value of ecosystem-based management (EBM) approaches is increasingly recognized in marine ecosystems, it is critical that the impacts of resource harvest are assessed at various spatial scales. This is particularly true for habitat-forming resources, such as wild seaweeds, that act as foundation species by physically structuring ecosystems. The impacts of spatially heterogeneous harvest may change with scale and have different management implications based on the ecosystem process or organism under consideration. <em>Ascophyllum</em> <em>nodosum</em> (hereafter rockweed) is a canopy-forming fucoid seaweed endemic to rocky coastlines in the North Atlantic Ocean that has been harvested for centuries. We conducted a Before-After Control-Impact study of commercial rockweed harvest at 38 sites across the coast of Maine (USA) from 2018 to 2020 in an effort to understand impact and one-year recovery of two rockweed bed structural characteristics, height and biomass, at a scale similar to a single harvest event. Our results indicate that rockweed harvest is spatially heterogeneous at the scale of the rockweed bed, and as a result, the effect sizes of harvest at this scale are smaller than those reported in previous studies that assessed smaller spatial scales. Mean rockweed biomass recovered to pre-harvest values after one year of recovery, but mean rockweed height remained lower at impacted sites. While post-harvest recovery was generally high in our study, sites that experienced higher intensities of harvest were less likely to fully recover height or biomass one year post-harvest. Our findings provide resource managers with a bed-scale perspective that can inform EBM approaches, particularly for population-level management of harvested resources and impacts of harvest on highly mobile organisms—such as birds and fish—that interact with these ecosystems at larger spatial scales.</p>
Impact ionization dust detection with compact, hollow and fluffy dust analogs
<p>Datasets for the Planetary and Space Science article "Impact ionization dust detection with compact, hollow and fluffy dust analogs" (DOI: 10.1016/j.pss.2022.105536). The data contains two folders for dust impacts on the IIT and CAT targets of CDA. The folders contain separate tables with data for each run. Each table shows the registered CDA impacts for the corresponding run with impact time in UTC (determined by CDA) and all additional information about the impact that could be reconstructed from the measurements of CDA and other detectors (impact velocity, dust mass, ...). Data that could not be reconstructed are represented by NAN values in the tables.</p>
From CREATE workshop to course implementation: Examining downstream impacts on teaching practices and student learning at 4-year institutions
<p>We provide the full data set for the research study informing the efficacy of the CREATE strategy for positively influencing faculty and students in science courses at ten institutions (4-year). CREATE (consider, read, elucidate hypotheses, analyze, and intrepret data; think of the next experiment) represents a scaffolded approach for teaching students using the primary literature as the foundation of course instruction. In this project, faculty from different institutions were trained in this pedagogy through a week-long workshop and then followed as they adapted CREATE for a science course at their home institutions. We used a variety of assessments (cognitive, affective) to determine the effects of implementation on student cohorts at each institution. These assessments included the <strong>Experimental Design and Ability Test</strong> (EDAT), the <strong>Critical Thinking Test</strong> (CTT, an adaption of the Field-Tested Learning Assessment Guide), a <strong>concept-map</strong> test, and an adaption of the <strong>Survey of Student Attitudes, Abilities, and Beliefs</strong> (SAAB) survey. </p>
Stakeholder perceptions of the impacts of shrub encroachment on rangeland ecosystem services
<p>While the impacts of shrub encroachment on the ecosystem processes have been well-documented, little is known about the extent to which socio-cultural values and perceptions might influence actions undertaken to manage shrub proliferation. Understanding stakeholder values is important because the ecosystem’s capacity to supply a given service or suite of services must be balanced against the value society places on them. Research to date has emphasized supply with little consideration of value, making it difficult to comprehensively or objectively evaluate trade-offs and set priorities, particularly when managing for one particular service or a suite of services may adversely affect another service or suite of services. To address this, we conducted a case study in southern Arizona and New Mexico (U.S.A.) to evaluate stakeholder perceptions of and preferences for various ecosystem services provided on semi-arid rangelands where shrub proliferation in grassland has impacted traditional livestock grazing. Perceptions of rangeland ecosystem services were elicited via a visually based landscape interpretation while preferences were quantified using best-worst scaling (BWS). Our findings suggest that stakeholders familiar with rangelands and their management generally perceive low shrub cover as providing a wider range of valued ecosystem services compared to rangelands with high shrub cover. Ecosystem service preferences in the context of shrub encroachment were generally uniform across all stakeholder groups (e.g. ranchers, state/federal governmental employees, non-governmental land managers, academicians, recreationists), with habitat for biodiversity and erosion control being identified as the most preferred. Our results suggest an opportunity for brush management to serve as a potential win-win management action if framed as a way to maintain or promote rangeland biodiversity and mitigate erosion.</p>
Data stochasticity and model parametrisation impact the performance of species distribution models: insights from a simulation study
<p>Data and R codes necessary to replicate the analyses presented in the paper entitled "Data stochasticity and model parametrisation impact the performance of species distribution models: insights from a simulation study", published in Peer Community in Ecology (<a href="https://doi.org/10.24072/pcjournal.263">10.24072/pcjournal.263</a>).</p>
[Replication Package] Impact of Architectural Smells on Software Performance
<p>Replication Package of the paper "Impact of Architectural Smells on Software Performance: an Exploratory Study" accepted for presentation to the 27th International Conference on Evaluation and Assessment in Software Engineering (EASE) 2023.</p>
Case study n°10 : From hazards in Senegal to migrants' integration in the City of Paris, Impact Chain model
<p>The case work led to the development of two correlated impact chains. The <em>first</em> impact chain (“risk sender”) models the components of the decision to migrate for rural Senegalese, accounting for hazard occurrence as well as the exposure and vulnerability. The outcome of the individual arbitrage is migration (internal or international), or immobility (willing or trapped). The <em>second</em> impact chain (“risk receiver”) considers the integration process for international migrants, accounting for the exposure and vulnerability of Paris in multiple dimensions (economic, social, cultural, linguistic, residential).</p>
Impact of Code Language Models on Automated Program Repair (Dataset)
<p>This is the fine-tuning dataset used in the paper Impact of Code Language Models on Automated Program Repair</p>
Data management table for PhD project:Reconquering the city: Pastoral agency and spatial impact of workers' parishes in Belgium (1884-1914)
<p>In this data management table I organized additional information on all the sorts of data I am or will be using in the course of my research project. The content of the table sheds a light on why, how and for who I work on these different kinds of data.</p>
The impact of secondary channels on the wetting properties of interconnected hydrophobic nanopores
<p>Data from Molecular Dynamics simulations.</p> <p>Files ending in .xyz are trajectory files and relate to total or partical simulation trajectories. The normal sintax is eqX.xyz where X is the imposed filling of the main cavity. </p> <p>Files ending in .dat are the "measurement" files and are the files required to compute the free energy from the simulation data. The normal sintax is eqX.dat where X is the imposed filling of the main cavity. </p> <p>Files ending in .data are LAMMPS output files. The normal sintax is eqX.data where X is the imposed filling of the main cavity. </p> <p>Other auxiliary files exist, but they are part of the analysis of the data and can be reconstructed with just the above mentioned files.</p> <p>The simulation data for specific configurations of the system is separated in different zipped files (either .tar.gz or .zip). 2A.tar.gz, 4A.tar.gz, 6A.tar.gz, 10.zip and 12.zip correspond to the configurations of lateral channels corresponding to 0.2, 0.4, 0.6,1 and 1.2 nm respectively. empty.zip and no.zip correspond to the configurations where the lateral channels where forcefully left empty (by evacuating the 6 lateral pores) and to the simple cylindrical pore with no lateral channels. all.zip, edges.zip and middle.zip correspond to the configurations of cavities with water molecules on all channel sites, only the external rings and in the middle ring, as described in the supplementary note 7.</p>
Supplemental package of a study on the impacts of Covid-19 on software startups and established companies
<p>This package presents the data obtained in a study on the impact of COVID-19 restrictions to software startups and established companies. It contains the questionnaire used to collect data, the answers obtained and a Jupyter notebook containing the analysis performed.</p>
Data for: Causal mechanisms for negative impacts of energy development inform management triggers for sagebrush birds
<p>Estimated population trends can identify declining species to focus biological conservation, but monitoring may fail to illuminate causes of population change and strategies for reversing declines. Monitoring programs can relate trends with environmental attributes to test causal hypotheses, but typical analytical approaches do not explicitly support causal inference, diluting available data for informing conservation. The U.S. Bureau of Land Management (BLM) extended Integrated Monitoring in Bird Conservation Regions with a quasi-experimental sampling design over a 10-year period (2010–2019) to evaluate impacts of oil and gas development on sagebrush birds within the Atlantic Rim Natural Gas Development Project in southern Wyoming. We analyzed resulting data using a multi-scale community occupancy model to estimate trends in species occupancy and richness relevant to management triggers. Additionally, we employed path analysis to evaluate mechanisms underlying observed trends to inform potential management responses. Fine-scale occupancy for sage thrasher (<em>Oreoscoptes montanus</em>) declined within the high-development stratum at a rate sufficient to meet an<em> a priori</em> management trigger established by the BLM. Two additional sagebrush-associated species, Brewer's (<em>Spizella breweri</em>) and sagebrush sparrow (<em>Artemisiospiza nevadensis</em>), exhibited negative development relationships with trend, as did overall species richness, and richness of grassland, sagebrush, and generalist guilds. We identified well pad density and invasive plants associated with energy development as causal factors contributing to these negative development impacts. We demonstrate an analytical approach for both estimating occupancy trends and identifying underlying causes to inform conservation action. Reducing the development footprint, including well pad density and associated invasive plants, could help reduce or limit impacts on birds within this landscape.</p>
The impact of dietary breadth on bumblebee colony fitness
<p>The current decline of pollinators may disrupt ecosystems and ecosystem services with potentially harmful effects on nature and human society. While the importance of habitat loss and fragmentation, pollution and increased disease risk in driving pollinator decline has been clearly demonstrated, the impact of resource diversity is less well understood. In this study, we investigated the effect of pollen diversity and composition on reproductive success and fitness of <em>Bombus terrestris</em> colonies. We asked the question whether a higher plant diversity results in a more diverse diet, lower pathogen incidence and a higher colony fitness. To answer these questions, colonies of lab-reared bumblebees were placed in species-poor heathland and species-rich semi-natural grasslands that strongly differed in plant community composition and diversity. We examined pollen loads on the bodies of foragers and identified the plant taxa present in the realized diet via DNA metabarcoding of the ITS2 marker. Liquid chromatography-mass spectrometry (LC-MS) was used to compare peptide composition of pollen samples from both habitats. Colony fitness was assessed by counting the number of sexuals produced by the colony at the end of its cycle. At the same time, colonies were examined for parasite incidence. Pollen composition and diversity on pollinators' bodies differed significantly between bees foraging in grasslands and heathlands. Concomitantly, peptide composition differed significantly between pollen samples from grasslands and heathlands. Colonies developed significantly better in heathland sites than in grasslands. In addition, colony fitness was only weakly related to pollen diversity and effects in some cases depended on the habitat where the bees were foraging. Pathogen incidence was very low and not affected by habitat. Overall, our results indicate that plant diversity is not necessarily a good predictor of colony fitness, and that vegetation composition and associated differences in both the quantity and quality of pollen are more important than pollen diversity per se.</p>
Raw Data for the article: Impact of the Organizational Model Adopted during the COVID-19 Pandemic on the Perceived Safety of Intensive Care Unit Staff
<p><strong>Background: </strong>The SARS-CoV-2 pandemic had a devastating health, social, and economic effect on the population. Organizational, technical and structural operations aimed at protecting staff, outpatients and inpatients were implemented in an Italian hospital with a COVID-19 dedicated intensive care unit. The impact of the organizational model adopted on the perceived safety among staff was evaluated.</p> <p><strong>Methods: </strong>Descriptive, structured and voluntary, anonymous, non-funded, self-administered cross-sectional surveys on the impact of the organizational model adopted during COVID-19 on the perceived safety among staff.</p> <p><strong>Results: </strong>Response rate to the survey was 67.4% (153 completed surveys). A total of 91 (59%) of respondents had more than three years of ICU experience, while 16 (10%) were employed for less than one year. Group stratification according to profession: 74 nurses (48%); 12 medical-doctors (7%); 11 physiotherapists (7%); 35 nurses-aides (22%); 5 radiology-technicians (3%); 3 housekeeping (1%); 13 other (8%). The organizational model implemented at ISMETT made them feel safe during their workday. A total of 113 (84%) agreed or strongly agreed with the sense of security resulting from the implemented measures. A vast majority of respondents perceived COVID-19 as a dangerous and deadly disease (94%) not only for themselves but even more as vectors towards their families (79%). A total of 55% of staff took isolation measures and moved away from their home by changing personal habits. The organizational model was perceived overall as appropriate (91%) to guarantee their health.</p> <p><strong>Conclusion: </strong>The vast majority of respondents perceived the overall model applied during an unexpected, emergency situation as appropriate.</p>
Potential Impact of Winter–Spring North Atlantic Tripole SSTAs on the Following Autumn–Winter El Niño–Southern Oscillation: Bridging Role of the Tibetan Plateau
<p>This is the key model data of "Potential Impact of Winter–Spring North Atlantic Tripole SSTAs on the Following Autumn–Winter El Niño–Southern Oscillation: Bridging Role of the Tibetan Plateau". The data includes the last 25 years data of the CTRL experiment, and 25 years data of the CTRL_NTP experiment, the NA_ST experiment, and the NA_ST_NTP experiment, respectively. "2D" is two-dimensional variables , "3D" is three-dimensional variables, and "pottmp" is ocean potential temperature.</p>
Data from: How science communications can help build societal perceptions of invasive alien species and their impacts on the environment
<p>In this study, we investigated the reported beneficial aspects of the invasive alien plant species (IAPS) and argued that, over time and space, the detrimental impacts of the IAS might endanger sustainable livelihoods. The data set contains the following files:</p> <p>Data_S1.xlsx: The file contains details of 154 literature reports. From each paper, we extracted IAPS names (both as reported and standardized), taxonomic information (family and taxon rank), year, country, the scale of observation, and reported beneficial impacts. The beneficial impacts were further categorized into 13 use categories at TDWG (Taxonomic Databases Working Group) Level-1 states (in binary format - 1 indicates the IAPS use and 0 indicates not in use for the individual category).</p> <p>The Metadata_S1.pdf file contains detailed information on preparing literature records for data extraction, the data extraction process, and data organization. </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.