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2,672 results for “services”
Datasets for Service-Like Creep-Fatigue Experiments on Grade P92 Steel
<p>The dataset contains experimental mechanical data from complex service-like creep-fatigue experiments performed isothermally at 620 °C and a low strain amplitude of 0.2 % on tempered martensite-ferritic grade P92 steel. The data sets in text file format provide cyclic deformation (min. and max. stresses) and the total (hysteresis) data of all recorded fatigue cycles for three different creep-fatigue experiments: 1) a standard relaxation fatigue (RF) test with symmetrical dwell times of three minutes introduced at minimum and maximum strain, 2) a fully strain-controlled service-like relaxation (SLR) test combining these three-minute peak strain dwells with a 30-minute dwell in between at zero strain, and 3) a partly stress-controlled service-like creep (SLC) test combining the three-minute peak strain dwells with 30-minute dwells at constant stress.</p> <p>Further information on data and data acquisition, analysis, and experimental details are given in “<em>Experimental Data from Service-Like Creep-Fatigue Experiments on Grade P92 Steel”, </em>submitted to <a href="https://www.sciencedirect.com/journal/data-in-brief">Data in Brief</a>. Additional analyses of these datasets, as well as experimental findings and discussions are presented in “<em>Creep-Fatigue of P92 in Service-Like Tests with Combined Stress- and Strain-Controlled Dwell Times</em>”, submitted to <a href="https://www.sciencedirect.com/journal/international-journal-of-fatigue">International Journal of Fatigue</a>.</p>
R code and associated data for: A review of riverine ecosystem service quantification: research gaps and recommendations
<p>This publication contains the R code and associated data used in the Journal of Applied Ecology publication entitled "A review of riverine ecosystem service quantification: research gaps and recommendations". </p>
The Cloud that Runs the Mobile Internet: A Measurement Study of Mobile Cloud Services
<p>In order to assess the performance of domains hosted in Cloud Service Providers (CSP), we run a dedicated measurements campaign on the MONROE measurements platform.</p> <p>For this study we use nodes in 4 countries and the Mobile Network Operators (MNO) over which we measure are:</p> <ul> <li>Norway: Telenor, Telia, <strong>Telia (SE)</strong></li> <li>Italy: Vodafone, Wind, TIM</li> <li>Spain: Yoigo, Orange, <strong>Vodafone (IT)</strong></li> <li>Sweden: Telia, Telenor, 3</li> </ul> <p>* MNOs written in bold letters are SIM cards that are roaming internationally (home country code in brackets).</p> <p>We benefit from MONROE’s openness and capabilities to run long-lived active measurements in realistic but controlled scenarios in commercial MNOs.</p> <p>Namely:</p> <ul> <li><strong>DNS test:</strong> We run DNS lookups for each target mobile domain towards: 1) the default MNO DNS resolver, 2) Google's public resolver and 3) OpenDNS's public resolver. This will allow us to compare the quality of the responses and identify possible DNS-level inefficiencies during the replica selection. All our DNS queries include the EDNS edns-client-subnet flag as it may be used by CSPs like EdgeCast and Amazon services to locate the end user and improve the quality of replica selection. If we do not receive a reply, as it occurs for Vodafone (IT) possibly due to the presence of an in-path DNS proxy filtering those requests, we repeat the request without the flag.</li> <li><strong>Traffic performance test:</strong> We measure the TCP connection and TLS session establishment time, if applicable, towards the resolved IP addresses. We repeat the same experiment over TCP ports 80 and 443, in case the MNO performs traffic shaping or deploys TCP-splitting proxies. The TCP connection, as well as the TLS session establishment are triggered by an HTTP GET request for the favicon.ico object. The presence of the object in the server is not relevant as the handshakes are triggered regardless of its existence.</li> <li><strong>Network topology test: </strong>For each resolved IP address, we run UDP traceroutes to study CSP-MNO peering and topological relationships. We also run pings towards the same IP address.</li> </ul> <p>We also log all the related metadata that are provided by the platform.</p> <p>The schema of the database can be found at:</p> <p>https://github.com/FoivosMichelinakis/cloudmap/blob/master/supportingFiles/parsers/cloudmap.sql</p> <p>The container code used on the MONROE nodes to generate this dataset can be found at:</p> <p>https://github.com/FoivosMichelinakis/cloudmap/</p> <p> </p> <p>We run the aforementioned experiments in isolation from other experiments continuously over 4 weeks, from April 5, 2017 until May 6, 2017.</p> <p>The combined results of the three tests for a given FQDN produce a "sample". The measurements are continuously run and the periodicity of the same sample varies between 4 and 24 hours. Thus, each sample has several instances across time of day and various radio conditions.</p>
Figure 1: Abstract Meta-Model-UNDERSTANDING SERVICE COMPOSITION WITH NON-FUNCTIONAL PROPERTIES USING DECLARATIVE MODEL-TO-MODEL TRANSFORMATIONS
<p>To de¯ne the model we ¯rst de¯ned the abstract meta-model which con-<br> tains all the processes which can be used in the application model. These are<br> used to model the behaviour of the application (see Figure 1).</p>
DATA: Chatbots in Airport Customer Service – Exploring Use Cases and Technology Acceptance
<p>This dataset (n=191) investigates use cases and technology acceptance of chatbots in airport customer service.</p>
State of Practice and Challenges of Issue Management for Component-based and Service-Oriented Systems: An Empirical Study
<p>Modern software systems often consist of independently developed components, e.g., libraries or (micro-)services, that can be combined to form a larger architecture. Many of these components are developed externally, i.e., in other projects by other teams, which is particularly the case in service-oriented architectures. Even though the components are independently developed, bugs may arise that propagate along the call chains, which sometimes negatively affect the calling components. However, as such components are typically managed in separate issue management systems (IMS), identifying that a downstream component is affected by an upstream component's issues is complex and time-consuming. Even though some scientific works and IMS forums discuss how to manage such cross-component issues, there is no systematic study on the state of practice and the challenges of issue management when different components are affected. Therefore, this study aims to determine which types of components are usually included in modern software projects, how developers identify and manage issue propagation between components, and how often they face such propagations. To get these insights, we conducted an empirical study through a questionnaire with 64 industry experts and open-source contributors and interviewed seven of them. Our key takeaways help researchers and software engineers to understand possible impacts and to improve cross-component issue management. We identified, for example, that related issues currently are non-semantically linked via URLs in issue comments.</p>
PESMEX20: 20 years of payments for ecosystem services in Mexico
<p><strong>Introduction</strong></p> <p>As some of the world’s largest, longest lasting and most researched initiatives that reward individual and communal landowners for conserving forests and associated ecosystem services, Mexico´s Payments for Ecosystem Services (PES) programmes provide a significant opportunity to examine questions of how, where, and by whom PES scholarship has been produced. The PESMEX20 database is the most up-to-date and comprehensive compendium of peer-reviewed publications for PES in a single country. It is a systematic analysis of the relevant peer-reviewed literature in English and Spanish through 2022 (N=140). Studies represent a breadth of themes, disciplinary and methodological approaches, and spatial scales.</p> <p><strong>Research questions</strong></p> <p>We address two specific research questions: </p> <ol> <li> <p>How has the body of PES research evolved over time in terms of methodological, temporal, and geographic coverage?</p> </li> <li> <p>What have been the main research priorities and reported results so far and how do these compare between in-country (i.e. based in Mexican institutions) and foreign scholars?</p> </li> </ol> <p><strong>Search strategy and inclusion criteria</strong></p> <p>Our approach to article selection followed PRISMA established norms (Moher et al., 2009). We employed advanced searches for publications in several internationally recognised databases as suggested by previous PES reviews (Calvet-Mir et al., 2015; Perevochtchikova et al., 2021; Schomers & Matzdorf, 2013; Kolinjivadi et al., 2023) and other related literature reviews. Specifically, we conducted searches in three internationally recognised databases: i) Scopus (international database of peer-reviewed academic publications worldwide); ii) Scielo (international database of peer-reviewed academic publications, mainly from Latin America, Ibero-America, and South Africa); and iii) Redalyc (international database of peer-reviewed academic publications from Latin America, the Caribbean, Spain, and Portugal).</p> <p>Additionally, given our specific interest in PES literature based in Mexico, we also conducted online searches of articles published in nationally-recognised scientific journals based in Mexico. Our analysis focused on peer-reviewed journals with indexation by Mexico’s Science and Technology Journal Classification System (CRMCYT) as of 2023. From a list of 109 CRMCYT indexed journals from seven thematic areas, we narrowed our search to 14 journals based on title and thematic relevance. Of these 14 journals, 11 were already included in Scopus, Scielo, or Redalyc. We therefore conducted additional searches in the 3 remaining Mexican journals: Estudios Sociológicos de El Colegio de México; Política y Gobierno; Papeles de Población.</p> <p>The systematic review process first consisted of online searches of publications with keywords related to PES programmes in Mexico in English, Spanish, and Portuguese. The search elements were sought specifically in the title, abstract and keywords for Scopus and Scielo, and in the full text of the publications for Redalyc and the three individual Mexican journals. The syntax used included a wide array of combinations of the following terms: </p> <p>Mexico/Mexican AND payment/programme/scheme + ecosystem/environmental/ hydrological/biodiversity/carbon service. </p> <p>In total, 1357 records were obtained and downloaded in a single Excel spreadsheet containing records until 2022. Duplicate records (N=152) were identified and excluded, with the final publication database including a total of 1205 publications. The following step consisted of identifying the set of records related to PES programmes in Mexico from the publication database, and thus relevant for analysis. We coded each record according to two dimensions:</p> <ul> <li> <p>PES focus: publication related to actual or hypothetical PES programmes and/or providing insights related to their application. Actual PES programmes included the federal PES programmes and other public and private programmes addressed by the studies.</p> </li> <li> <p>Mexico focus: publication provides insights and/or data collected in Mexico. This includes comparative studies based in Mexico and other geographic regions.</p> </li> </ul> <p>For each dimension, the coding process consisted of two main steps: 1) search for keywords in the title related to PES or Mexico; 2) reading the abstract to confirm PES or Mexico focus. Whenever the publication’s classification was unclear after steps 1) and 2), the body of the publication was further scanned. This codification was developed by the first author but was validated by the team of co-authors to ensure its accuracy. Once all records were coded, only those publications that combined a focus on PES and Mexico were selected for our analysis.</p> <p>In total, 140 publications met this requirement and formed the empirical basis for our analysis (Included in Supplementary Materials). These 140 publications included 137 peer-reviewed journal articles and three book chapters.</p> <p><strong>Coding strategy</strong></p> <p>The publication database explores a series of variables that cover four main components: basic features, thematic coverage, methodological coverage, and reported effects. Each entry was coded twice independently in separate spreadsheets by two co-authors who have experience with PES programmes and research in Mexico. Subsequently, the spreadsheets were merged and each result was double checked for consistency and, in cases where discrepancies were found, the coders jointly deliberated to reach a final result.</p> <p>The basic features component identifies the lead authors and country and institutional affiliation, publication outlet, publication year, and number of citations (citation number retrieved from Google Scholar on 8 November 2023). </p> <p>The thematic coverage component identifies the set of themes addressed by the publication. Our assessment framework situates PES research within four main stages of PES design and implementation: Assessment & planning, Implementation & evaluation, and Improvement. Each of these stages involves, in turn, a series of theme-specific categories. The framework was developed based on our existing knowledge acquired from long-term research of PES programmes and is composed of a series of well-established themes in PES literature. These themes are not mutually exclusive (publications in our database addressed on average 2.15 themes).</p> <p>The methodological coverage component characterises the programme(s) studied (type, geographic location) and the study's design (if and where primary data was collected, the type of methods employed and the temporal scale of analysis). We also captured the degree of critique towards PES based on the overall tone and language of the study’s abstract and conclusions.</p> <p>The reported effects component addresses the 56 studies in our database that provided empirical evidence related to PES environmental and/or social impacts or outcomes and excluded reviews as well as conceptual, experimental and hypothetical studies. Specifically, we examined what scholars have concluded about the social and ecological effects of Mexican PES programmes in terms of key indicators used, whether the study assesses outcomes (measurable indicators of programme effects) versus impact (through counterfactual analysis), and the authors’ conclusions on the direction (positive, negative or neutral) and magnitude of effects. Classification as positive or negative was based on our interpretation of the authors' overall assessment of environmental and social outcomes (separately). If reported outcomes were predominantly positive, we classified the effects as positive, and vice versa for negative outcomes. Where findings did not allow an assessment of outcome direction, or in instances where there was a balance of positive and negative outcomes, we designated these as neutral.</p> <p><strong>Variable list</strong></p> <p>The description of variables and their corresponding values can be found in the second sheet of the Excel spreadsheet.</p> <p><strong>Acknowledgements</strong></p> <p>We thank Daniela Oropeza Calderón and Lucero Hidalgo García for excellent research assistance with the publication database in the early stages of this manuscript. We also acknowledge the helpful input from Vijay Kolinjivadi, Gert van Hecken and Pierre Merlet for the design of the coding strategy.</p>
Figure 4 in Agricultural Research Service Weed Science Research: Past, Present, and Future
Figure 4. Agricultural Research Service researchers have focused on understanding how climate change influences weeds/invasive plants and their impacts and management. Image shows a study of how precipitation change influences cheatgrass (Bromus tectorum) invasion in rangelands of northeast Wyoming, USA. (Credit: Anna Kuhne)
Figure 5. A in Agricultural Research Service Weed Science Research: Past, Present, and Future
Figure 5. A conceptual framework providing context for addressing challenges for managing weeds in agroecosystems and natural areas.
Figure 3. Sorgoleone has a in Agricultural Research Service Weed Science Research: Past, Present, and Future
Figure 3. Sorgoleone has a potential as a plant-incorporated protectant herbicide. The highly bioactive benzoquinone allelochemical sorgoleone is produced exclusively within root hair cells of members of the genus Sorghum. Genes of the entire sorgoleone pathway are being used to transform crops to produce sorgoloeone (Pan et al. 2021).
Figure 2 in Agricultural Research Service Weed Science Research: Past, Present, and Future
Figure 2. (A) Depiction of a bipartite synthetic Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) cassette (red) consisting of a Cas9 endonuclease and a guide ribonucleic acid RNA (gRNA) that is flanked by homology arms (HA) (black). (B) Following expression of the CRISPR cassette, gRNA binds to Cas9 and directs the complex to a unique sequence-specific site for DNA cleavage and homology-directed repair (HDR). Following HDR, the CRISPR cassette is copied into both genomic regions. (C) Standard Mendelian inheritance results in 50% of progeny inheriting a modified gene. In contrast, a gene drive would bias inheritance, theoretically resulting in all progenies (~99%) inheriting the modified gene, thereby "driving" the modified gene into an invasive weed population.
Figure 1 in Agricultural Research Service Weed Science Research: Past, Present, and Future
Figure 1. (A) BenchBot autonomous high-throughput imaging system, (B) example imagery from BenchBot after automated segmentation of weeds from background objects, (C) testing of the handheld version of the Weeds3D system at the Beltsville Agricultural Research Center, and (D) example 3D reconstruction of plant biomass from the Weeds3D systems.
Dataset: Franklin Financial Services Corporation (FRAF) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: First Business Financial Services, Inc. (FBIZ) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Energy Services of America Corporation (ESOA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Enterprise Financial Services Corp (EFSCP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Enterprise Financial Services Corp (EFSC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: E-Home Household Service Holdings Limited (EJH) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Citizens Financial Services, Inc. (CZFS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Cheetah Net Supply Chain Service Inc. (CTNT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
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
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.