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18,658 results for “impacts”
Data from: Demographic inference from whole-genome and RAD sequencing data suggests alternating human impacts on goose populations since the last ice age
We investigated how population changes and fluctuations in the pink-footed goose might have been affected by climatic and anthropogenic factors. First, genomic data confirmed the existence of two separate populations: western (Iceland) and eastern (Svalbard/Denmark). Second, emographic inference suggests that the species survived the last glacial period as a single ancestral population with a low population size (100-1,000 individuals) that split into the current populations at the end of the Last Glacial Maximum with Iceland being the most plausible glacial refuge. While population changes during the last glaciation were clearly environmental, we hypothesize that more recent demographic changes are human-related: (1) the inferred population increase in the Neolithic is due to deforestation to establish new lands for agriculture, increasing available habitat for pink-footed geese (2) the decline inferred during the Middle Ages is due to human persecution and (3) improved protection explains the increasing demographic trends during the 20th century. Our results suggest both environmental (during glacial cycles) and anthropogenic effects (more recent) can be a threat to species survival.
Replication package for: "The Impact of Online Competition on Local Newspapers: Evidence from the Introduction of Craigslist"
<p>Djourelova, Milena, Durante, Ruben, and Gregory J. Martin (2023). "The Impact of Online Competition on Local Newspapers: Evidence from the Introduction of Craigslist."</p><p>The replication package contains software and datasets needed to produce tables and figures in the paper, as well as data cleaning scripts and raw data.</p><p>The replication package is also available as a Git repository at <a href="https://code.stanford.edu/gjmartin/craigslist-replication-code-and-data">https://code.stanford.edu/gjmartin/craigslist-replication-code-and-data</a></p>
Research disturbance negatively impacts incubation behaviour of female Great Tits
<p>The dataset includes the raw data and R scripts necessary to reproduce the analyses and figures explained in the manuscript "Research disturbance negatively impacts incubation behaviour of female Great Tits"<strong>.</strong></p> <p>This dataset includes:</p> <p>- README.docx: Complete explanation of the different raw data used for the statistical analyses, together with the link to the R script where data is analyzed. We recommend to read this document before diving into the data and scripts.</p> <p>- Project data & code: Two separate folders for raw data and code.</p>
Data from: The Jive Verification System and its Transformative Impact on Weather Forecasting Operations
<p><span><span>This repository </span><span>contains</span><span> the data used for the analysis </span><span>in</span><span> the paper “</span></span><span><span>The Jive Verification System and its Transformative Impact on Weather Forecasting Operations” Loveday et al. 2024 </span><span>to be </span><span>submitted</span><span> to the Bulletin of the American Meteorological Society (BAMS). </span></span><span> </span></p>
Supplementary dataset for a research paper "A Farewell to a Dam: ecological impacts of the Kakhovka Reservoir ravaging by warfare in Ukraine"
Open the record for dataset details and reuse information.
Decarbonization pathways promote improvements in cement quality and reduce the environmental impact of China's cement industry
<p>The data show the results of the papre "Decarbonization pathways promote improvements in cement quality and reduce the environmental impact of China’s cement industry".</p>
The Impact of Website Design, E-Service Quality, Satisfaction, Trust to Intention to Purchase Skin Care Products in the E-Marketplace
<p><strong><span>The study aims to identify factors influencing pricing, understand how pricing affects purchase intention and customer satisfaction, and provide valuable insights for skincare businesses to develop effective pricing strategies in Indonesia’s skincare market. The study used a purposive sampling approach, collecting data from 123 respondents who were internet users in Indonesia in January 2024. These respondents have engaged with online retailers to purchase skin care products. The results found that website design affects e-service quality, affecting customer satisfaction and trust. Customer satisfaction and trust have a significant impact on repurchase intentions. This study recommends that skincare businesses focus on website design, provide high-quality e-services, and implement customer satisfaction and loyalty programs. Future research can explore additional factors and conduct similar studies in different locations or product categories.<span> </span></span></strong></p> <p><span>Keywords—Website design, skin care, e-marketplace, purchase intention, customer satisfaction, customer trust, e-service quality.</span></p>
Open Data Set for the article Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 2024, 6 (2), 363-382
<p>The datasets available for open access from the article ‘<em>Ballester, C. and Furió, D. (2024). Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 6 (2), 363-382</em>’ are provided here. This study has been supported by funding from the Spanish Ministry of Science, Innovation, and Universities (Project PGC2018-093645-B-100).</p> <p>The data encompasses the price series of the components of the final wholesale prices, other than the day-ahead market price, at an hourly frequency, from January 2017 to December 2021. In particular, the daily average of the hourly price series of the intraday market, which captures the net effect of the six sessions of the intraday market on the final price, the daily average of the hourly net effect on the final price of the procedure to solve technical constraints, the daily average of the hourly costs resulting from ancillary services and deviation management, the daily average of the hourly costs related to capacity payments and the daily average of the hourly costs associated with the interruptibility service. In addition, we compute the daily average of the hourly series of bids (price and amount) individually submitted by market participants to buy or sell energy, distinguishing between matched and non-matched bids, both in the day-ahead market and in the first session of the intraday market. Other energy-related price series included in the analysis are: the Dutch TTF futures price, the API2 index for the coal price, the EUA futures price, the percentage of hours with 100% use from the France-Spain interconnection, the spread from the France-Spain interconnection, the percentage of water reserves in the reservoirs of the Iberian Peninsula. All shareable data are made available in accordance with open data principles to promote transparency and reproducibility in research. However, there is a specific dataset that we are not authorized to share publicly. Specifically, this includes the data corresponding to the Dutch TTF futures price and the API2 index. Consequently, this dataset is published under restricted access.</p>
Dataset from Rummel et al.: "Spatially resolved salt intrusion mechanisms in a tidal estuary and the impact of channel deepening" - Part 1
<p>Model data from the numerical setup of the Weser River Estuary used in Rummel et al. (submitted to JGR:Oceans): "Spatially resolved salt intrusion mechanisms in a tidal estuary and the impact of channel deepening" - Part 1.</p> <p>The dates in the file names are connected to specific model runs and do not explain the modelled time period.</p> <p>Explanation of datasets:</p> <ul> <li>2D_elev* - 2D model output for the entire year 2016 for validation at one location each (associated station name included in file name), original topography.</li> <li>3D_stat* - 3D model output for the entire year 2016 for validation at one location each (associated station name included in file name), original topography.</li> <li>3D_cross_30_80* - 3D model output for one month of 2016 for the model domain from Weser km 30 to 80 including variables needed for the salt transport decomposition. <ul> <li>2024-05-23 - March 2016, original topography</li> <li>2024-06-07 - March 2016, dredged topography</li> <li>2024-06-06 - September 2016, original topography (different temporal resolution)</li> <li>2024-06-10 - September 2016, dredged topography</li> </ul> </li> <li>3D_channel* - 3D model output for the navigational channel in the entire model domain for the entire year 2016. <ul> <li>2024-04-02 - original topography</li> <li>2024-05-16 - dredged topography</li> </ul> </li> <li>3D_cross_55/65_2024-09-02* - 3D model output for September 2016, original topography for crosssections at Weser km 55 and 65 including variables needed for the salt transport decomposition.</li> </ul>
Resources for the paper: "Social Context in Political Stance Detection: Impact and Extrapolation"
<p>This repository contains the resources in our paper <strong>[Social Context in Political Stance Detection: Impact and Extrapolation]</strong><br><em>Ramon Villa-Cox, Evan Williams, Kathleen M. Carley</em></p> <p>In this work, we explore the performance and extrapolation power of political stance-detection models using an existing large-scale weakly-labeled Twitter dataset collected around the 2019 South American Protests [1]. We construct transformer-based user and tweet encoders to embed users in a low-dimensional space using their text and ego-networks. We then train heterogeneous graph attention networks to predict user stances and contrast their ability to extrapolate stance predictions to different country contexts.</p> <p>The protest dataset, which was collected between September 25 and December 24 of 2019, contains 550k labeled users split unevenly across the four countries and contains over 36 million labeled tweets. It contains an additional 1.1 million unlabeled neighbors and 40 million unlabeled tweets. This repository includes the anonymized datasets necessary to reproduce the results and tables of the paper. In addition, we include the corresponding anonymized resources for the new weakly-labeled dataset around the 2020 Chilean Referendum presented in our paper.</p> <p>Following Twitter's January 2023 User Protection Policy update, tweet or user IDs related to sensitive political events cannot be publicly shared. We respect this policy, and only share:</p> <ul> <li>The anonymized user ID, their weak-stance label, the label predicted by each model and the data split (train, validation or test) the user was assigned to.</li> <li>Anonymized user network edges used by the different network classifiers</li> <li>The type of tweet the edge represents (Original, Reply, or Quote)</li> <li>The User Embeddings produced by the User Transformer and which serve as input for the different network models.</li> </ul> <p>This repository is comprised of the following files:</p> <ol> <li>Main_Predictions.7z: Compressed folder containing anonymized user IDs their stance label and each model’s prediction for the country it was trained on. The performance metrics for each model can be obtained based on the test split for each country. This folder includes the results for the Chilean Referendum.</li> <li>Cross_Predictions.7z: Compressed folder containing the results of the cross-country experiments for each anonymized user. The performance metrics for each model, when applied on a different country can be obtained based on each complete file. Users seen during the training of each model are excluded as described in the paper.</li> <li>Tweet_Level_Edgelists.7z: Compressed folder containing anonymized tweet edge lists indicating its interaction type (Original, Reply, or Quote).</li> <li>User_Networks.7z: Compressed folder containing different anonymized user edge lists for each interaction type.</li> <li>Embeddings.zip: Compressed Pytorch tensor files containing the User Embeddings produced by the User Transformer and which serve as input for the different network models. This are provided for the main results and the cross-country and referendum experiments.</li> </ol> <p>The code developed for this study is available at: https://github.com/rvillaco/Protest_Stance_Detection</p>
Dataset from Rummel et al.: "Spatially resolved salt intrusion mechanisms in a tidal estuary and the impact of channel deepening" - Part 2
<p>Model data from the numerical setup of the Weser River Estuary used in Rummel et al. (submitted to JGR: Oceans): "Spatially resolved salt intrusion mechanisms in a tidal estuary and the impact of channel deepening" - Part 2.</p> <p>The dates in the file names are connected to specific model runs and do not explain the modelled time period.</p> <p>This dataset contains daily averaged 3D model output for the entire year 2016 of the whole model domain with the original, not dredged topography.</p> <p> </p>
Dataset from Rummel et al.: "Spatially resolved salt intrusion mechanisms in a tidal estuary and the impact of channel deepening" - Part 3
<p>Model data from the numerical setup of the Weser River Estuary used in Rummel et al. (submitted to JGR: Oceans): "Spatially resolved salt intrusion mechanisms in a tidal estuary and the impact of channel deepening" - Part 3.</p> <p>The dates in the file names are connected to specific model runs and do not explain the modelled time period.</p> <p>This dataset contains daily averaged 3D model output for the entire year 2016 of the whole model domain with the dredged topography.</p>
Molecular dynamics simulations for "Evolutionary Dynamics of RuBisCO: Emergence of the Small Subunit and its Impact Through Time"
<p>This repository contains the molecular dynamics simulation files for the extant and ancestral RuBisCOs, presented in Amritkar2024 et. al.</p> <p>There are two separate folders, one for the regular MD simulations and the other for MD simulations with gas trajectories.</p> <p>Both folders have the simulation trajectory `.dcd` files and the `.pdb` for their corresponding protein structures.</p> <p>The trajectory files are dried, i.e. water molecules have been removed from them.</p> <p>The data encompasses over 7 extant (pdb ids: 1BWV, 3ZXW, 6FTL, 6URA, 7SNV, 8RUC, 9RUB) and 8 ancestral (Anc-I/I', Anc-I', Anc-I, Anc-IAB, Anc-ICD, Anc-IA, Anc-IB, Anc-I-without-RbcS) RuBisCO complexes.</p> <p>This study performed three types of simulations: with water molecules (labeled as exp01), with water + CO2 molecules (labeled as exp02), and with water + O2 molecules (labeled as exp04).</p> <p>There are two replicates for the exp01 simulations and the simulation length for each is 250 ns.</p> <p>The <em>exp02</em> and <em>exp04</em> files are not present for the RbcS-less (Anc-I/I', Anc-I', Anc-I-without_RbcS, 6URA, and 9RUB) RuBisCOs. The simulation length for the gas simulations is 75 ns and one replicate.</p> <p>Each file is named "<em>RuBisCO-system"</em>."<em>simulation-type</em>".md"replicate-number".dry."<em>pdb or dcd</em>".</p> <p>The files are named with respect to each RuBisCO-id in small (No caps). Anc-I/I' is represented as "anciip" and Anc-I' is represented as "ancip".</p>
Data for Influence of Coverage Dependence on the Thermophysical Properties of Adsorbates and its Impact on Microkinetic Models
<p>Data and scripts for the preprint "Influence of Coverage Dependence on the Thermophysical Properties of Adsorbates and its Impact on Microkinetic Models".</p>
Datasets "Exploring the Impact of Apocarotenoids on Pathogenic Fusarium oxysporum f.sp. lini and Endophytic Fo47 strains".
<p><strong>Dataset 1 comprises files related to qPCR analysis, measurements of mass and spore counts, and assessments of colony size. Dataset 2 includes photographic documentation of Fol and Fo47 treatments, while Dataset 3 contains microscopic images of Fol and Fo47 following treatments. The UPLC dataset provides files detailing the analysis of fusaric acid production. These datasets support the findings presented in the article <em>'Exploring the Impact of Apocarotenoids on Pathogenic Fusarium oxysporum f. sp. lini and Endophytic Fo47 Strains.'</em> Comprehensive information regarding the methods and experimental designs can be found within the article.</strong></p>
Impact of biochar aging on soil
<p>Impact of biochar aging on soil - ROW DATA</p>
IMPACT OF TEBIPENEM-PIVOXIL ON THE INTESTINAL MICROBIOTA AND ON ESTABLISHMENT OF COLONIZATION WITH CARBAPENEM-RESISTANT KLEBSIELLA PNEUMONIAE IN MICE
<p><span>Antimicrobial therapy has the</span><span> potential to cause unintended adverse effects by promoting antibiotic-resistant bacteria. Therefore, as new antibiotics are developed there is a need to understand their potential to disrupt the indigenous microbiota of the colon and promote colonization by pathogens. Tebipenem pivoxil (Teb-piv), the first oral carbapenem, has potent <em>in vitro</em> activity against <em>Enterobacterales</em> pathogens, but requires combination with an appropriate β-lactamase inhibitor to achieve activity against <em>Klebsiella pneumoniae</em> carbapenemase and metallo-β-lactamase (MBL)-producing carbapenem-resistant <em>Enterobacterales</em></span></p>
Supplementary data for "Quantifying the Impact Factors of Landslide Dam Breaching: A Numerical Study on the Influence of Lake Geometry and Upstream Inflow"
<p>The supplementary data provides a summary of previously published data and natural case studies related to landslide dam breaching, which were utilized in the study titled <em>"Quantifying the Impact Factors of Landslide Dam Breaching: A Numerical Study on the Influence of Lake Geometry and Upstream Inflow."</em></p>
Computational Data: Accurately computed dimerization trends of ALD precursors and their impact on surface reactivity in area-selective atomic layer deposition
<p><span>The Lewis acidic nature of aluminum atoms in common precursors for the atomic layer deposition (ALD) of Al<sub>2</sub>O<sub>3</sub> can lead to dimerization. This study investigates whether these compounds predominantly exist as monomers or dimers under ALD conditions. Understanding dimerization is crucial for discussing precursor reactivities and other properties, especially in the context of area-selective ALD (AS-ALD). We employed a theoretical approach, incorporating conformer search, density functional theory, and coupled cluster calculations, to determine the dissociated dimer fraction for a range of precursors under typical ALD pressures and temperatures. The precursors studied include aluminum alkyls, chlorinated aluminum alkyls, dimethylaluminumisopropoxide (DMAI), and trisdimethylamidoaluminum (TDMAA). Our findings indicate that aluminum alkyls are completely dissociated over the whole parameter range, while DMAI and TDMAA form stable dimers. Chlorinated precursors were found to exist in both monomeric and dimeric forms depending on temperature and pressure.</span></p>
[Dataset] The impact of particle precipitation on the ion-neutral collision frequency analyzed with EISCAT measurements
<p>Datasets for "The impact of particle precipitation on the ion-neutral collision frequency analyzed with EISCAT measurements" (submitted to Annales Geophysicae)</p>
ScienceDex guides
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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.