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605 results for “framing”
The effects of increased thermal insulation in timber-framed external walls with thin gypsum board as a wind barrier - Dataset
<p>This dataset includes measured data from the field measurement of four timber-framed exterior wall constructions. All the walls were equipped with gypsum board wind barrier having a minimal thermal resistance. Insulation thicknesses of 150 mm and 300 mm, demonstrating a moderate and a very effective levels of thermal insulation, were compared. Wooden cladding and brick veneer were compared as façade materials.</p> <p>Measurements were done in a test building of Tampere University, Tampere, Finland. The coordinates of the campus are 61°27' N, 23°52’ E. Ground height at test building site is approximately 135 m above sea level. The site is rather protected area, with the modest wind and driving rain load. </p> <p>The test was performed between 13 September 2020 and 30 November 2021. </p> <p> </p>
◂Fig. 6 Gynoecial development, fruit and seedling of C. crenata %yellow frames), C. cf. grandicalyx %blue frames) and C. sinensis %pink frames; A–F light microscopy, G–K stereo microscopy of endocarp, mesocarp removed; L–O field images; TS in horizontal orientation). A, B TS of anthetic flower %note two to three abortive ovules and strongly stained, peripheral tissue). C, D TS of anthetic flower %note two to three abortive ovules and lignifying portions of prospective mesocarp). E Young fruit %note developing endocarp and flashily pink portions of the mesocarp). F TS of postanthetic flower %note three abortive ovules and lignifying portions of prospective mesocarp). G TS of endocarp, with three developed embryos removed %note scanty endosperm). H Endocarp. J TS of endocarp. K Endocarp. L Immature fruits. M Mature fruits. N Seedlings %note short hypocotyl and long petioles of cotyledons). O Seedlings %note long hypocotyl and short petioles of cotyledons; image taken from cultivated plant, accession number 2012–0005, in the Botanical Garden Munich) %LS, longisection; TS, transverse section; ao, abortive ovule; cot, cotyledon; db, dorsal bundle; c, calyx; ec, endocarp; ens, endosperm; ex, exocarp; fr, fruit; h, hypocotyl; int, integument; lb, lateral bundle; mc, mesocarp; o, ovule; pet, petiolus; sty, style; ut, peripheral tissue; vs, ventral slit) in Observations on flower and fruit anatomy in dioecious species of Cordia (Cordiaceae, Boraginales) with evolutionary interpretations
◂Fig. 6 Gynoecial development, fruit and seedling of C. crenata %yellow frames), C. cf. grandicalyx %blue frames) and C. sinensis %pink frames; A–F light microscopy, G–K stereo microscopy of endocarp, mesocarp removed; L–O field images; TS in horizontal orientation). A, B TS of anthetic flower %note two to three abortive ovules and strongly stained, peripheral tissue). C, D TS of anthetic flower %note two to three abortive ovules and lignifying portions of prospective mesocarp). E Young fruit %note developing endocarp and flashily pink portions of the mesocarp). F TS of postanthetic flower %note three abortive ovules and lignifying portions of prospective mesocarp). G TS of endocarp, with three developed embryos removed %note scanty endosperm). H Endocarp. J TS of endocarp. K Endocarp. L Immature fruits. M Mature fruits. N Seedlings %note short hypocotyl and long petioles of cotyledons). O Seedlings %note long hypocotyl and short petioles of cotyledons; image taken from cultivated plant, accession number 2012–0005, in the Botanical Garden Munich) %LS, longisection; TS, transverse section; ao, abortive ovule; cot, cotyledon; db, dorsal bundle; c, calyx; ec, endocarp; ens, endosperm; ex, exocarp; fr, fruit; h, hypocotyl; int, integument; lb, lateral bundle; mc, mesocarp; o, ovule; pet, petiolus; sty, style; ut, peripheral tissue; vs, ventral slit)
◂Fig. 4 Gynoecium of C. crenata %yellow frames), C. cf. grandicalyx %blue frames) and C. sinensis %pink frames; A–R light microscopy; TS in horizontal orientation). A Secantial section. B, C TS %note cellular organisation). D Secantial section. E, F TS %note cellular organisation). G Secantial section of young gynoecium showing cellular organisation. H–J TS %note lacking cellular organisation, localisation in K–M). K–M LS at different levels from outside to inside of the same specimen %note strongly stained peripheral tissue; asterisks indicate tissue illustrated in H–J). N TS %note dehiscence lines of the prospective endocarp). O, P TS showing transmission tissue and dorsal bundles at top of style. Q vascularisation at base of gynoecium %note strongly stained peripheral tissue). R Vascularisation at base of flower %LS, longisection; TS, transverse section; db, dorsal bundle; dl, dehiscent line; ep, epidermis; lb, lateral bundle; tt, transmission tissue; ut, peripheral tissue; vb, ventral bundle; vs, ventral slit) in Observations on flower and fruit anatomy in dioecious species of Cordia (Cordiaceae, Boraginales) with evolutionary interpretations
◂Fig. 4 Gynoecium of C. crenata %yellow frames), C. cf. grandicalyx %blue frames) and C. sinensis %pink frames; A–R light microscopy; TS in horizontal orientation). A Secantial section. B, C TS %note cellular organisation). D Secantial section. E, F TS %note cellular organisation). G Secantial section of young gynoecium showing cellular organisation. H–J TS %note lacking cellular organisation, localisation in K–M). K–M LS at different levels from outside to inside of the same specimen %note strongly stained peripheral tissue; asterisks indicate tissue illustrated in H–J). N TS %note dehiscence lines of the prospective endocarp). O, P TS showing transmission tissue and dorsal bundles at top of style. Q vascularisation at base of gynoecium %note strongly stained peripheral tissue). R Vascularisation at base of flower %LS, longisection; TS, transverse section; db, dorsal bundle; dl, dehiscent line; ep, epidermis; lb, lateral bundle; tt, transmission tissue; ut, peripheral tissue; vb, ventral bundle; vs, ventral slit)
◂Fig. 3 Gynoecium of C. crenata %yellow frames), C. cf. grandicalyx %blue frames) and C. sinensis %pink frames; A, B stack shot images; C–K light microscopy; G polarised light; TS in horizontal orientation). A, B Anthetic female flower, calyx and corolla partly removed. B LS of gynoecium. C LS of functionally female flower %note strongly stained peripheral tissue of corolla, anther and gynoecium). D LS of gynoecium. E, F TS of functionally female flower %note strongly stained, peripheral tissue). G TS of functionally female flower %note crystal deposition). H LS of ovule %note stalked embryo sac). J TS of functionally male flower with non-functional ovules. K LS of functionally male flower %style lacking, original position indicated by an asterisk) %LS, longisection; TS, transverse section; a,anther; bs, basal septum; c, calyx; car, carpel; co, corolla; db, dorsal bundles; es, embryo sac; fs, false septum; lb, lateral bundles; o, ovule; stg, stigma; sty, style; t, trichomes; tt, transmission tissue; ut, peripheral, strongly stained tissue; vb, ventral bundles; vs, ventral slit) in Observations on flower and fruit anatomy in dioecious species of Cordia (Cordiaceae, Boraginales) with evolutionary interpretations
◂Fig. 3 Gynoecium of C. crenata %yellow frames), C. cf. grandicalyx %blue frames) and C. sinensis %pink frames; A, B stack shot images; C–K light microscopy; G polarised light; TS in horizontal orientation). A, B Anthetic female flower, calyx and corolla partly removed. B LS of gynoecium. C LS of functionally female flower %note strongly stained peripheral tissue of corolla, anther and gynoecium). D LS of gynoecium. E, F TS of functionally female flower %note strongly stained, peripheral tissue). G TS of functionally female flower %note crystal deposition). H LS of ovule %note stalked embryo sac). J TS of functionally male flower with non-functional ovules. K LS of functionally male flower %style lacking, original position indicated by an asterisk) %LS, longisection; TS, transverse section; a,anther; bs, basal septum; c, calyx; car, carpel; co, corolla; db, dorsal bundles; es, embryo sac; fs, false septum; lb, lateral bundles; o, ovule; stg, stigma; sty, style; t, trichomes; tt, transmission tissue; ut, peripheral, strongly stained tissue; vb, ventral bundles; vs, ventral slit)
Рис. 2. Черношапочные сурки и их местообитания на хребте КоΑар: A — виΑ на ЦентраΛьный КоΑар и ΑоΛину р. СреΑний Сакукан; B — местообитание сурков поΑ переваΛом; C — местообитание сурков по берегам р. Того; D — местообитание сурков на вершине гребня, каΑр с фотоΛовушки; E — сурки; F — черношапочный сурок обΛизывает пΛасты каменного угΛя, каΑр из виΑеосъемки Fig. 2. Black-capped marmots and their habitats on the Kodar Ridge: A — view of the Central Kodar and the valley of the Middle Sakukan River; B — habitat of marmots under the mountain pass; C — habitat of marmots along the banks of the Togo River; D — marmot habitat at the top of the mountain ridge, camera trap frame; E — marmots; F — the black-capped marmot licks coal, freeze frame from video in On the ecology of the Doppelmayer`s Black-capped marmot (Marmota camtschatica doppelmayeri Birula, 1922): Kodar Mountain Ridge, Transbaikalia, Russia
Рис. 2. Черношапочные сурки и их местообитания на хребте КоΑар: A — виΑ на ЦентраΛьный КоΑар и ΑоΛину р. СреΑний Сакукан; B — местообитание сурков поΑ переваΛом; C — местообитание сурков по берегам р. Того; D — местообитание сурков на вершине гребня, каΑр с фотоΛовушки; E — сурки; F — черношапочный сурок обΛизывает пΛасты каменного угΛя, каΑр из виΑеосъемки Fig. 2. Black-capped marmots and their habitats on the Kodar Ridge: A — view of the Central Kodar and the valley of the Middle Sakukan River; B — habitat of marmots under the mountain pass; C — habitat of marmots along the banks of the Togo River; D — marmot habitat at the top of the mountain ridge, camera trap frame; E — marmots; F — the black-capped marmot licks coal, freeze frame from video
FN-RE: A Corpus of Requirements Documents Enriched with Semantic Frame Annotations
<p>FN-RE is a human-labelled dataset using FrameNet scheme. The dataset is distributed and can be viewed using a web-index page. For further details about the annotation procedures, please refer to the annotation guidelines included in the folder.</p>
Frame Embeddings for Software and Requirements Engineering Domain
<p>This project is aimed to identify semantic relatedness of <a href="https://framenet2.icsi.berkeley.edu/">FrameNet </a>semantic frames in the domain of software and requirements engineering. The folder contains the frame embeddings that are obtained using the <strong>context-based method</strong> described in our ESEM paper*.</p> <p>Waad Alhoshan, Liping Zhao, and Riza Batista-Navarro. 2018. Using Semantic Frames to Identify Related Textual Requirements: An Initial Validation. In ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (ESEM ’18), October 11–12, 2018, Oulu, Finland. ACM, New York, NY, USA, 2 pages. https://doi.org/10.1145/3239235.3267441 </p> <p> </p> <p> </p>
Pyen tone frames, Speakers A and B
<p>These are data accompanying the article Hornéy, Christina Scotte. 2019. Tonal variation in Pyen. <em>Journal of the Southeast Asian Linguistics Society, 12</em>(1). They comprise approximately 900 recordings from two Pyen speakers each. Capital letters following underscores after each recording indicate the specific speaker (A or B). A list of words and phrases used as tone frames is provided in the two Excel files. For more details on data collection and analysis, see the article above.</p>
Semantic Frame Embeddings for Detecting Relations between Software Requirements
<p><strong>FN-RE frame embeddings-is semantic resource built based on embedding-based representations of semantic frames in FrameNet, which was developed to support the detection of relations between software requirements. Our embeddings, which encapsulate contextual information at the semantic frame level, were trained on a large corpus of requirements (i.e., a collection of more than three million mobile application reviews). </strong></p>
Dataset of questionnaires for teachers developed in the frame of ENVRIPLUS project
<p>The questionnaire is addressed to teachers in order to catch their needs and help in feeding the platform with targeted contents. The first part of the questionnaire focuses on objective information about the formal, quantitative and qualitative position of science class in schools, and the content and methods of teaching in different countries. The second part of the questionnaire investigates personal teacher experiences and their views on what can improve training offer about environmental science lessons and courses. The third part investigates on tools teachers have and use and on what they would have. Questionnaires were collected based on the GITF international network and in the occasion of training events for Italian teachers.This action is undertaken for the developing of Task 15.5, aimed at providing secondary school teachers and students with an e-Training Platform, based on scientific themes related to Research Infrastructures for the Environmental Sector participating to ENVRIplus project. The main actions are aimed to design, structure, develop and execute a Training course for teachers to the use of the multimedia platform.</p>
Figure 3 in Benthic invertebrates associated with subfossil cold-water coral frames and hardgrounds in the Albanian deep waters (Adriatic Sea)
Figure 3. Cnidaria recorded from the study area: a) Leiopathes glaberrima (AL16SA1); b) Dendrophyllia cornigera (AL16SA1); c) Isidella elongata (AL16SE2); d, d1) Caryophyllia calveri (AL15SE1); e) Stenocyathus vermiformis (AL16SE2); f, f ) Lophelia pertusa 1 (AL15SE1); g) Nausithoe sp. (AL15SE1)
Figure 5 in Benthic invertebrates associated with subfossil cold-water coral frames and hardgrounds in the Albanian deep waters (Adriatic Sea)
Figure 5. Annelids associated with Lophelia subfossil colonies from stations AL15SE1 and AL16SE2: a) Hyalopomatus madreporae, b, c) Serpulidae sp. 1, d) Filogranula gracilis, e) 1: Metavermilia multicristata, 2: Janita fimbriata, f) Metavermilia multicristata.
Figure 4 in Benthic invertebrates associated with subfossil cold-water coral frames and hardgrounds in the Albanian deep waters (Adriatic Sea)
Figure 4. Mollusks associated with the Lophelia pertusa and Dendrophyllia cornigera subfossil colonies collected at AL15SE1 and AL16SE2, and AL16SA1: a) Ranella olearia; b) Orania fusulus; c) Nassarius lima; d) Pagodula echinata; e) Putzeysia wiseri; f) Eulimella bogii; g) Emarginula adriatica; h) Yoldiella philippiana; i) Kelliella miliaris; j) Spondylus gussoni; k) Timoclea ovata; l) Tropidomya abbreviata.
Figure 6 in Benthic invertebrates associated with subfossil cold-water coral frames and hardgrounds in the Albanian deep waters (Adriatic Sea)
Figure 6. SEM images of bryozoans: a) Neolagenipora eximia, stat. AL15SE1; b) Idmidronea sp. 1., stat. AL15SE1.
D-PLACE dataset derived from Binford 2001 'Constructing Frames of Reference'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Binford, L. 2001. Constructing Frames of Reference: An Analytical Method for Archaeological Theory Building Using Hunter-gatherer and Environmental Data Sets. University of California Press</p> </blockquote>
A tectonic-rules-based mantle reference frame since 1 billion years ago – implications for supercontinent cycles and plate–mantle system evolution
<p>The archive <strong>Muller_etal_2022_SE_1Ga_Opt_PlateMotionModel.zip</strong> contains the files for the plate model in an optimised mantle reference frame. GPlates or pyGPlates software (<a href="https://www.gplates.org/">www.gplates.org</a>) is needed to read these files. </p> <p>The archive <strong>Muller_etal_2022_SE_mantle-ref-frame-oceanic-crustal-agegrids.zip</strong> contains the oceanic crustal age grids in netCDF-4 format for the optimised mantle reference frame plate model, while the archive <strong>Muller_etal_2022_SE_PMAG_oceanic-crustal-agegrids.zip</strong> contains the oceanic crustal age grids in netCDF-4 format for the paleomagnetic reference frame plate model from Merdith et al. (2021).</p> <p> </p> <p>The agegrids associated with this model can be accessed at: <a href="https://repo.gplates.org/webdav/PlateModel_Age_SR_Grids/Muller_etal_2022_SE/" target="_blank" rel="noopener">https://repo.gplates.org/webdav/PlateModel_Age_SR_Grids/Muller_etal_2022_SE/</a></p>
Dataset for Reproduce "v2e: From Video Frames to Realistic DVS Events"
<p>This dataset release is meant for reproducing the results in our paper "v2e: From Video Frames to Realistic DVS Events".</p> <p>The paper is published in The Third International Workshop on Event-Based Vision.</p> <p>Please check out DATASET_README.md for more information. The code that accompanies the dataset is published <a href="https://github.com/SensorsINI/v2e_exps_public">here</a>.</p> <p>If you use this dataset, please cite:</p> <ul> <li>Y. Hu, S-C. Liu, and T. Delbruck. v2e: From Video Frames to Realistic DVS Events. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021.</li> <li>Y. Hu, T. Delbruck, S-C. Liu, "Learning to Exploit Multiple Vision Modalities by Using Grafted Networks" in The 16th European Conference on Computer Vision (ECCV), Online, 2020.</li> </ul>
Two-story frame with Bouc-Wen hysteretic links as a multi-degree of freedom nonlinear response simulator
<p><strong>Two-story frame with Bouc-Wen hysteretic links as a multi-degree of freedom nonlinear response simulator</strong></p> <p>Standardized datasets for tasks related to system identification applications, reduced-order or surrogate modelling applications. A multi-degree of freedom nonlinear response simulator benchmark proposed in the <em><strong>5th Edition of the Workshop on Nonlinear System Identification Benchmarks</strong></em> (April 2021, <a href="https://sites.google.com/view/nonlinear-benchmark/benchmarks">Link</a>).</p> <p>The open-access software implementation of the frame can be found in this <a href="https://github.com/KosVla/NonlinearBoucWenFrameBenchmark"><em><strong>Github repository</strong></em></a>.</p>
IBSU-1432 dataset on videoendoscopy frame quality classification for laryngoscopy (NBI modality)
<p><strong>How to cite</strong></p> <p>Nogal, P., Buchwald, M., Staśkiewicz, M., Kupiński, S., Pukacki, J., Mazurek, C., ... & Wierzbicka, M. (2022). Endoluminal larynx anatomy model–towards facilitating deep learning and defining standards for medical images evaluation with artificial intelligence algorithms. <em>Polish Journal of Otolaryngology</em>, <em>76</em>(5), 37-45. <a href="https://doi.org/10.5604/01.3001.0015.9501">https://doi.org/10.5604/01.3001.0015.9501</a></p> <p>Paderno, A., Piazza, C., Del Bon, F., Lancini, D., Tanagli, S., Deganello, A., … Moccia, S. (2021). Deep Learning for Automatic Segmentation of Oral and Oropharyngeal Cancer Using Narrow Band Imaging: Preliminary Experience in a Clinical Perspective. <em>Frontiers in Oncology</em>, <em>11</em>(March), 1–12. <a href="https://doi.org/10.3389/fonc.2021.626602">https://doi.org/10.3389/fonc.2021.626602</a></p> <p>Moccia, S., Vanone, G. O., Momi, E. De, Laborai, A., Guastini, L., Peretti, G., & Mattos, L. S. (2018). Learning-based classification of informative laryngoscopic frames. <em>Computer Methods and Programs in Biomedicine</em>, <em>158</em>, 21–30. <a href="https://doi.org/10.1016/j.cmpb.2018.01.030">https://doi.org/10.1016/j.cmpb.2018.01.030</a></p> <p><strong>Description</strong></p> <p>The presented dataset consists of 1432 laryngeal endoscopy frames of different acquisition quality. The four classes were distinguished (after Moccia et al., 2018):</p> <ol> <li>Informative frames (436),</li> <li>Blurred (383),</li> <li>Saliva/specular reflections (321), and</li> <li>Underexposed frames (292).</li> </ol> <p>(In total, 1432 = 436 I + 383 B + 321 S + 292 U.)</p> <p><strong>Acknowledgements</strong></p> <p>Alberto Paderno, MD PhD – Brescia data part</p> <p>Sara Moccia, PhD – IBSU-720 frames dataset from Zenodo: <a href="https://zenodo.org/record/1162784#.Ycrmfi1Q1qt">https://zenodo.org/record/1162784#.Ycrmfi1Q1qt</a></p> <p>Małgorzata Wierzbicka, MD PhD – Poznan data part</p> <p>Piotr Nogal, MD – Poznan data part</p> <p>Joanna Jackowska, MD PhD – Poznan data part</p> <p>Hanna Klimza, MD PhD – Poznan data part</p>
Dictionary of Emotional and Nonemotional Frames
<p>This resource is a dictionary of frames-to-emotion associations. It contains multiple FrameNet frames and the strength of their association to "emotionality",i.e., the degree to which a frame expresses an emotion, irrespective of what specific emotion that is.</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.