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6,452 results for “Application”
Data for "Scaling of electron heating by magnetization during reconnection and applications to dipolarization fronts and super-hot solar flares"
<p>Dataset for the figures used in the paper</p>
Frequency of positive words in grant applications
<p>The data was gathered to reproduce the methodology and findings presented in <a href="http://dx.doi.org/10.1136/bmj.l6573">Lerchenmueller et al. (2019)</a> in proposal texts that were submitted to different funding schemes offered by the Swiss National Science Foundation.</p> <h2>Data description</h2> <p>The data files (as .xlsx) contains three sheets:</p> <ol> <li>Career funding schemes (excluding fellowships): 1802 proposals included</li> <li>Spark funding scheme: 612 proposals included</li> <li>Project funding scheme (Projects): 5736 proposals included</li> </ol> <p>Each Sheet includes a data matrix where each row is a specific grant proposal. The unit of analysis are grant proposals and the texts used are the title and abstracts. The data is used in a project available from github (https://github.com/snsf-data/positive_language). [Paper soon to be submitted]</p> <p>The first 25 columns give us the 25 positive words and their respective counts in each of the analysed texts of the grant proposals. The <strong>positiv words </strong>(here the column names are) used are the following: amazing, assuring, astonishing, bright, creative, encouraging, enormous, excellent, favorable/ favourable, groundbreaking, hopeful, innovative, inspiring, inventive, novel, phenomenal, prominent, promising, reassuring, remarkable, robust, spectacular, supportive, unique, and unprecedented. Those were first proposed by <a href="https://www.bmj.com/content/351/bmj.h6467">Vinkers et al. (2015)</a>. </p> <p>Additionnally, the following columns are present in the data:</p> <ul> <li>sum_pos: The sum of the number of positive words in the texts. </li> <li>text_length and text_length100: the text length (count of words), and text length divided by 100.</li> <li>ResponsibleApplicantGender: the gender of the corresponding applicant (m or f)</li> <li>ResponsibleApplicantAge: the age of the corresponding applicant at submission (continuous)</li> <li>NationalityIsoCode: the nationality of the corresponding applicant (CH or not CH)</li> <li>IsApproved and IsFundable: binary variable indicating funding success, or whether the project would have been fundable given the grade with unlimited funding. </li> <li>Decision and CallYear: year of the call deadline, and year the funding decision was taken. </li> <li>ResearchInstitutionType: the type of institution the corresponding applicant is affiliated to (Cantonal University, ETH Domain, Other)</li> <li>which_lang: the language the proposal was written in (all english)</li> </ul> <h2>Text processing</h2> <p>The text corpus used in this analysis was also used as the basis for additional analyses. It therefore underwent a thorough cleaning with the help of the R-packages {tm} and {stringr}. After the pre-processing steps, the number of times each of the postitive words (see above) occured in the title and abstracts of the respective proposal is computed using a simple keyword search. </p> <h3>Pre-processing steps: </h3> <ul> <li>Punctuation was removed.</li> <li>All non-standard alphanumeric characters were removed. </li> <li>All characters were converted to lowercase. </li> <li>Extra white spaces were removed. </li> <li>Internet formatting was removed: URLs, email addresses, twitter formatting (words starting with # and @). </li> <li>Common English contractions were converted to their non-contracted form ("it's" --> "it is"). </li> <li>English language stopwords were removed. </li> </ul> <p> </p>
Application of adipose-derived Mesenchymal Stem Cells in an in vivo model of peripheral nerve damage
<p>The aim of this study is to address this issue by performing a detailed analysis of the therapeutic 29 benefits of two treatment options: adipose tissue derived-mesenchymal stem cells (ASCs) and ASC-30 conditioned medium (CM).</p>
Data from: Genotyping-in-Thousands by Sequencing panel development and application for high-resolution monitoring of introgressive hybridization within sockeye salmon
<p>Stocking programs have been widely implemented to re-establish extirpated fish species to their historical ranges; when employed in species with complex life histories, such management activities should include careful consideration of resulting hybridization dynamics with resident stocks and corresponding outcomes on recovery initiatives. Genetic monitoring can be instrumental for quantifying the extent of introgression over time, however, conventional markers typically have limited power for the identification of advanced hybrid classes, especially at the intra-specific level. Here, we demonstrate a workflow for developing, evaluating, and deploying a Genotyping-in-Thousands by Sequencing (GT-seq) SNP panel with the power to detect advanced hybrid classes to assess the extent and trajectory of intra-specific hybridization, using the sockeye salmon (<em>Oncorhynchus nerka)</em> stocking program in Skaha Lake, British Columbia, as a case study. Previous analyses detected significant levels of hybridization between the anadromous (sockeye) and freshwater resident (kokanee) forms of <em>O. nerka</em>, but were restricted to assigning individuals to pure-stock or "hybrid". Simulation analyses indicated our GT-seq panel had high accuracy, efficiency and power (> 94.5%) of assignment to pure-stock sockeye salmon/kokanee, F<sub>1</sub>, F<sub>2</sub>, and B<sub>2</sub> backcross-sockeye/kokanee. Re-analysis of 2016/2017 spawners previously analyzed using TaqMan<span> </span>assays and otolith microchemistry revealed shifts in assignment of some hybrids to adjacent pure-stock or B<sub>2</sub>-backcross classes, while new assignment of 2019 spawners revealed hybrids comprised 31% of the population, ~74% of which were B<sub>2</sub>-backcross or F<sub>2</sub>. Overall, the GT-seq panel development workflow presented here could be applied to virtually any system where genetic stock identification and intra-specific hybridization are important management parameters.</p>
Dual Sensing Signal Decoupling based on Tellurium Anisotropy for VR Interaction and Neuro-Reflex System Application
<p>Classification models and datasets used in the manuscript.</p>
Application of blender speed control technology in the processing of salak pondoh into coffee in Sibolong Hamlet
<p>Dukuh Sibolong consists of nine RTs with a total population of 672. Based <br> on the information our team got from Mr. Suharno as the head of the hamlet. <br> The hamlet has several groups of informal community organizations such as <br> youth organizations, PKK women. The majority of the population of Sonyo <br> Hamlet are Muslim and have a livelihood as laborers, but there are also those <br> who work as entrepreneurs because the geographical location of Sibolong <br> Hamlet is located in the highlands. Actually, the hamlet of Sibolong has <br> natural potential in the form of Salak Pondoh. One of these has just been <br> processed into salak syrup. The potential of salak is managed by Mr. Suharno. <br> Mr. Suharno has a market opportunity of up to 600 products per month. <br> However, this opportunity brings consequences and problems, namely the <br> wrong seed grinding machine is not owned. Information about some of the <br> problems faced by the zalacca processors must of course be addressed as soon <br> as possible as a solution for developing the zalacca processing business. The <br> team that proposes service as part of the community who happens to be <br> involved in the world of education, feels compelled to help provide solutions <br> to the problems faced by Mr. Suharno's salak processing business. Through <br> this proposed program of science and technology activities and based on the <br> needs analysis that has been carried out, the service team tries to offer <br> solutions to these problems with a touch of science and technology, namely <br> through the main activity of designing a salak seed grinder to make salak <br> coffee. The solosi is used to improve the processing of salak coffee.</p>
Supplementary material 2 from: Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G (2022) Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 211-236. https://doi.org/10.3897/neobiota.76.84268
Combined TAS-ISK report
Supplementary material 1 from: Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G (2022) Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 211-236. https://doi.org/10.3897/neobiota.76.84268
Table S1
Supplementary material 1 from: Agosti D (2016) Shuttleworth Fellowship Application 2016. Research Ideas and Outcomes 2: e11014. https://doi.org/10.3897/rio.2.e11014
Curriculum Vitae
Supplementary material 7 from: Virgilio M, Delatte H, Nzogela YB, Simiand C, Quilici S, De Meyer M, Mwatawala M (2015) Population structure and cryptic genetic variation in the mango fruit fly, Ceratitis cosyra (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 525-538. https://doi.org/10.3897/zookeys.540.9618
STRUCTURE sequential assignments:
Supplementary material 5 from: Virgilio M, Delatte H, Nzogela YB, Simiand C, Quilici S, De Meyer M, Mwatawala M (2015) Population structure and cryptic genetic variation in the mango fruit fly, Ceratitis cosyra (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 525-538. https://doi.org/10.3897/zookeys.540.9618
Estimated null allele proportions:
Supplementary material 6 from: Virgilio M, Delatte H, Nzogela YB, Simiand C, Quilici S, De Meyer M, Mwatawala M (2015) Population structure and cryptic genetic variation in the mango fruit fly, Ceratitis cosyra (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 525-538. https://doi.org/10.3897/zookeys.540.9618
Linkage disequilibrium:
Supplementary material 4 from: Virgilio M, Delatte H, Nzogela YB, Simiand C, Quilici S, De Meyer M, Mwatawala M (2015) Population structure and cryptic genetic variation in the mango fruit fly, Ceratitis cosyra (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 525-538. https://doi.org/10.3897/zookeys.540.9618
Observed and expected heterozygosity:
Supplementary material 3 from: Virgilio M, Delatte H, Nzogela YB, Simiand C, Quilici S, De Meyer M, Mwatawala M (2015) Population structure and cryptic genetic variation in the mango fruit fly, Ceratitis cosyra (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 525-538. https://doi.org/10.3897/zookeys.540.9618
Pearson's Chi-squared test for Hardy-Weinberg equilibrium:
Supplementary material 2 from: Virgilio M, Delatte H, Nzogela YB, Simiand C, Quilici S, De Meyer M, Mwatawala M (2015) Population structure and cryptic genetic variation in the mango fruit fly, Ceratitis cosyra (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 525-538. https://doi.org/10.3897/zookeys.540.9618
Genotype accumulation curve:
Supplementary material 1 from: Virgilio M, Delatte H, Nzogela YB, Simiand C, Quilici S, De Meyer M, Mwatawala M (2015) Population structure and cryptic genetic variation in the mango fruit fly, Ceratitis cosyra (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 525-538. https://doi.org/10.3897/zookeys.540.9618
Map of sampling locations:
Figure 4 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 4 - Time table for the eEcoLiDAR project (assuming a start in March 2017). The work plan covers tasks for the NLeSC engineers, the proposed PhD student, and two associated Postdoc projects.
Figure 3 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 3 - Example of identifying trees in a forest from LiDAR data. Illustrated is a small plot of poplar trees in Flevoland, The Netherlands, for which tree crowns and tree tops have been calculated.
Figure 2 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 2 - Generic workflow for object-based image analysis (OBIA) of LiDAR point clouds and proposed ecological applications. A workbench (blue) will be developed to handle the data storage, data exploration, and interactive OBIA of the massive LiDAR point clouds. Combined with datasets of bird distributions, climate, and other remote sensing layers (orange), the LiDAR data will be applied to several ecological case studies, e.g. by using species distribution modelling of birds and insect pollinators (green).
Figure 1 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 1 - The vertical and horizontal distribution of plants influences habitat structure and 3D characteristics of vegetation for animals. Illustrated are examples for (a) forests, (b) agricultural and open landscapes, and (c) reedbeds and marshlands. The height, openness and density of vegetation as well as specific habitat features (e.g. tree species, hedges etc.) are key aspects of animal habitat and space use.
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.