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2,359 results for “Online”
Online Appendix and Cetacean Datasets for: The Occurrence Birth-Death Process for combined-evidence analysis in macroevolution and epidemiology
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Online appendix and simulated data sets for assesment of Birth-Death Exposed-Infectious (BDEI) phylodynamic model estimators
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Paid and hypothetical time preferences are the same: Lab, field and online evidence
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Online phylogenetics with matOptimize for SARS-CoV-2
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Alem Fm Online Dinle
<p>Alem fm canlı dinle; Şarkı dinlemek, şarkı söylemek çağlar boyunca insanlara iyi gelen, onları huzurlu hissettiren şeylerden biri olmuştur. Bunun en büyük sebebi de insanların duygusal birer hayvan olmasıdır. Acılarımızı, sevincimizi, bizi biz yapan o özel şeylerin tümünü şarkılarda ararız. Dertlerimizi, sorunlarımızı da yine bu şarkılara gömeriz. Şarkılar bizim için birer kader ortağı, birer yoldaş, birer sırdaş olur. Ama bizim bizden önce gelenlere büyük bir avantajımız var, bu durumun nedeni ise <strong>radyo dinle.</strong> Biz her istediğimizde istediğimiz mekanda radyo aracılığıyla sevdiğimiz şarkılara ulaşabiliyoruz. Türkiye’de yayın yapan yerli ve yabancı yüzlerce radyo kanalı var, Alem FM de bu kanalların başında geliyor. Alem FM, on üç Ocak 1994 yılının da bir Perşembe günü yayın hayatına başlamıştır. Ayrıca <a href="https://www.kesintisizradyo.com/online/canli-mac-dinle">canlı maç</a> yayınlarıda kardeş radyolarında dinleyebilirsiniz.</p> <p>Alem FM’in sahibi 2013 yılına kadar Çukurova Holding idi. 2013 yılında Tasarruf mevduatı sigorta fonu tarafından el konulan kanal, Türkmedya yayın Grubu’na satıldı. Günümüzde ise bu kanalın sahibi Esmedya’dır. Alem FM’in belli bir formatı yoktur. Türkçe ve karışık şekilde yayın yapar. Alem FM ulusal bir radyo kanalıdır. Alem FM’in genel merkezi İstanbul’dadır. Sitemiz üzerinden <strong>canlı radyo dinle</strong> keyfini yaşayın. . Alem FM’in sloganı “ Türkiye’nin en Alem Radyosu “ dur. Alem FM’in yaptığı radyo programları da hayli meşhurdur. Adem Metan, Umut Bezgin, Fatih Yıldırım, Füsun Tuncer, Hilal Özgan'i Alem FM programcılarından bazılarıdır. Müzikten anlayan bir kulağın varsa durma, <strong>Alem fm dinle </strong>!</p> <p><strong><a href="https://www.kesintisizradyo.com/alem-fm">https://www.kesintisizradyo.com/alem-fm</a></strong></p>
Online Aerosol Chemical Characterization by Extractive Electrospray Ionization − Ultrahigh-Resolution Mass Spectrometry (EESI-Orbitrap)
<p>These datasets are the raw data presented in the presented work of "Online Aerosol Chemical Characterization by Extractive Electrospray Ionization − Ultrahigh-Resolution Mass Spectrometry (EESI-Orbitrap)" in <em>Environmental Science & Technology Journal</em>, doi:10.1021/acs.est.9b07090.</p> <p>Abstract: Current mass spectrometry techniques for the online measurement of organic aerosol (OA) composition are subjected to either thermal/ionization-induced artifacts or limited mass resolving power, hindering accurate molecular characterization. Here, we combined the soft ionization capability of extractive electrospray ionization (EESI) and the ultrahigh mass resolution of Orbitrap for real-time, near-molecular characterization of OAs. Detection limits as low as tens of ng m<sup>−3</sup> with linearity up to hundreds of μg m<sup>−3</sup> at 0.2 Hz time resolution were observed for single- and mixed-component calibrations. The performance of the EESI-Orbitrap system was further evaluated with laboratory-generated secondary OAs (SOAs) and filter extracts of ambient particulate matter. The high mass accuracy and resolution (140 000 at <em>m/z</em> 200) of the EESI-Orbitrap system enable unambiguous identification of the aerosol components’ molecular composition and allow a clear separation between adjacent peaks, which would be significantly overlapping if a medium-resolution (20 000) mass analyzer was used. Furthermore, the tandem mass spectrometry (MS<sup>2</sup>) capability provides valuable insights into the compound structure. For instance, the MS<sup>2</sup> analysis of ambient OA samples and lab-generated biogenic SOAs points to specific SOA precursors in ambient air among a range of possible isomers based on fingerprint fragment ions. Overall, this newly developed and characterized EESI-Orbitrap system will advance our understanding of the formation and evolution of atmospheric aerosols.</p> <p>Structure of the datasets: The raw data are separated into individual file of excel format for the figures. Simulation data from Figure 4 can be generated using the matlab code named <em>Figure4PeakSimulation.m.</em> </p>
Escenarios para las adaptaciones de urgencia en la evaluación online
<p>Figura.</p> <p>Escenarios para las adaptaciones de urgencia en la evaluación <em>online</em></p>
Emergency adaptations in online assessment in usually face-to-face environments
<p>Emergency adaptations in online assessment in usually face-to-face environments</p>
Online supplement for "T cell costimulation blockade blunts age-related heart failure"
<p><strong>ONLINE SUPPLEMENT FOR:</strong></p> <p><strong>Research Letter:</strong></p> <p><strong>T cell costimulation blockade blunts age-related heart failure</strong></p>
Linking Twitter & Survey Data [online workshop]
<p>Twitter has become an important data source for many social scientists. While using data from Twitter can help to avoid or alleviate some of the issues related to self-report data, such as social desirability or problems with recollection, Twitter data have their own sets of limitations, including the lack of information about individuals or missing outcome variables of interest. Linking data from surveys and Twitter is a way to combine the unique strengths of the two data types and overcome some of their respective limitations. The online workshop led by Luke Sloan (Cardiff University), Johannes Breuer (GESIS), and Libby Bishop (GESIS) covered the key steps in the research process of linking Twitter and survey data. Specifically, the workshop addressed the phases of study planning, (Twitter) data collection, data processing, and archiving and sharing. The workshop drew on recent experiences from different studies that the instructors were involved in and provided guidance on how to address the ethical and operational issues associated with linking Twitter and survey data in the different phases of the research process.</p> <p>The video is also available for viewing on <a href="https://youtu.be/IG1jJ3WP2h8">YouTube</a>.</p>
In My Backyard: Online Survey Responses Raw Dataset
<p>In My Backyard: Online Survey Responses Raw Dataset</p> <p>In My Backyard is a citizen science project promoted by Rio Neiva – Environmental NGO and its partner CEA – Municipal Centre for Environmental Education, both based in Esposende, Portugal. It was funded through the ACTION project. In My Backyard aimed to understand the use of harmful pesticides and fertilizers in home farming and gardening and uncovering sustainable alternatives practiced within domestic backyards. </p> <p>www.rioneiva.com/nomeuquintal</p>
Online MBA Admission for Working Professionals
<p>Are you looking for an <a href="https://www.collegeaims.com/for-working-professionals">MBA admission online</a>? We provide the right counseling for MBA online admission for working professionals.</p>
Full dataset for: Diversifying environmental volunteers by engaging with online communities
<p>1. Environmental volunteering can benefit participants and nature through improving physical and mental wellbeing while encouraging environmental stewardship. To enhance achievement of these outcomes, conservation organisations need to reach different groups of people to increase participation in environmental volunteering. This paper explores what engages communities searching online for environmental volunteering.</p> <p>2. We conducted a literature review of 1032 papers to determine key factors fostering participation by existing volunteers in environmental projects. We found the most important factor was to tailor projects to the motivations of participants. Also important were: promoting projects to people with relevant interests; meeting the perceived benefits of volunteers and removing barriers to participation.</p> <p>3. We then assessed the composition and factors fostering participation of the NatureVolunteers's online community (n = 2216) of potential environmental volunteers and compared findings with those from the literature review. We asked whether projects advertised by conservation organisations meet motivations and interests of this online community.</p> <p>4. Using Facebook insights and Google Analytics we found that the online community were on average younger than extant communities observed in studies of environmental volunteering. Their motivations were also different as they were more interested in physical activity and using skills and less in social factors. They also exhibited preference for projects which are outdoor based, and which offer close contact with wildlife. Finally, we found that the online community showed a stronger preference for habitat improvement projects over those involving species-survey based citizen science.</p> <p>5. Our results demonstrate mis-matches between what our online community are looking for and what is advertised by conservation organisations. The online community are looking for projects which are more solitary, more physically active and more accessible by organised transport. We discuss how our results may be used by conservation organisations to better engage with more people searching for environmental volunteering opportunities online.</p> <p>6. We conclude that there is a pool of young people attracted to environmental volunteering projects whose interests are different to those of current volunteers. If conservation organisations can develop projects that meet these interests, they can engage larger and more diverse communities in nature volunteering.</p>
The use of food swaps to encourage healthier online food choices
<p>Dataset for The use of food swaps to encourage healthier online food choices.</p> <p>Online grocery stores offer opportunities to encourage healthier food choices at the moment that consumers put a product of their choice in their basket. This study aims to examine the effect of a swap offer, Nutri-Score labelling and a descriptive norm message on the healthiness of food choices in such an online food basket. Additionally, it is examined whether these interventions make it more motivating and easier for consumers to select healthier food choices and whether potential effects are moderated by consumers’ health interest. Hypotheses were tested in a simulated online supermarket. Dutch participants (n=550) chose their preferred product out of six product options for four different categories (breakfast cereals, crackers, pizza and muesli bars). Participants were randomly allocated to one of eight groups based on the interventions (Nutri-Score, swap offer, norm message and the five different combinations). Primary outcome was the difference in nutrient profiling (NP) healthiness score of product choices, for which a lower score represents a healthier product. Results show that a swap offer (NP score M=10.52, SD =16.15) and Nutri-Score labelling (NP score M=15.38, SD=15.24) significantly improved NP healthiness scores compared to the control condition (NP score M=18.03, SD=14.02), whereas a norm message did not (NP score M=17.96, SD=15.15). These findings provide valuable insights for policy makers and practitioners on the implementation of swap offers and Nutri-Score labelling in the online store environment.</p>
Map 1 in Discovered online: Hibiscus hareyae sp. nov. of sect. Lilibiscus (Malvaceae), threatened in coastal thicket at Lindi, Tanzania
Map 1. Hibiscus hareyae. Global distribution map.
Fig. 1 in Discovered online: Hibiscus hareyae sp. nov. of sect. Lilibiscus (Malvaceae), threatened in coastal thicket at Lindi, Tanzania
Fig. 1. Hibiscus hareyae. Image of the holotype (K00240493), Kirk s.n. Tanzania, Lindi, July 1877.
Questionnaire Draft and Respons for Study of Online Learning for Accounting Subjects in Vocational School During the Pandemic Period
<p>The questionnaire was designed to be completed by accounting-major vocational school students via an online survey platform. The data collection phase of the survey was conducted in August 2020, to analyze the learning process from March to July 2020. During that time, all schools in Indonesia implemented Study From Home (SFH). The questionnaire has 36 items, divided into 7 sections. Respondents were asked to choose one-point Likert scale from one to five depending on their online learning conditions. </p>
Data from: An R package and online resource for macroevolutionary studies using the ray-finned fish tree of life
1. Comprehensive, time-scaled phylogenies provide a critical resource for many questions in ecology, evolution, and biodiversity. Methodological advances have increased the breadth of taxonomic coverage in phylogenetic data; however, accessing and reusing these data remain challenging. 2. We introduce the Fish Tree of Life website and associated R package fishtree to provide convenient access to sequences, phylogenies, fossil calibrations, and diversification rate estimates for the most diverse group of vertebrate organisms, the ray-finned fishes. The Fish Tree of Life website presents subsets and visual summaries of phylogenetic and comparative data, and is complemented by the R package, which provides flexible programmatic access to the same underlying data source for advanced users wishing to extend or reanalyze the data. 3. We demonstrate functionality with an overview of the website, and show three examples of advanced usage through the R package. First, we test for the presence of long branch attraction artifacts across the fish tree of life. The second example examines the effects of habitat on diversification rate in the pufferfishes. The final example demonstrates how a community phylogenetic analysis could be conducted with the package. 4. This resource makes a large comparative vertebrate dataset easily accessible via the website, while the R package enables the rapid reuse and reproducibility of research results via its ability to easily integrate with other R packages and software for molecular biology and comparative methods.
Data and Codes for "Explainable Offline-Online Training of Neural Networks for Parameterizations: A 1D Gravity Wave-QBO Testbed in the Small-data Regime" by Pahlavan et al. (2023)
<p>This is part of the code and data related to the paper entitled Explainable Offline-Online Training of Neural Networks for Parameterizations: A 1D Gravity Wave-QBO Testbed in the Small-data Regime, available at https://arxiv.org/abs/2309.09024.</p><p>The original sources of the codes are the v1.0.0 version of open source software EnsembleKalmanProcesses.jl for EKI analysis, accessible at zenodo.org/records/7806813, and the \emph{qbo1d} code for the 1D-QBO model simulations, accessible at github.com/DataWaveProject/qbo1d.git.</p>
Online Supplementary Dataset of the HIV Genome-to-Genome Study
Online Supplementary Dataset of the paper titled "A Genome-to-Genome Analysis of Associations between Human Genetic Variation, HIV-1 Sequence Diversity, and Viral Control" in eLife, 10.7554/eLife.01123.
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.