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7,195 results for “SET”
suns set
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1677512315.599.jpg">https://4dcity.org/imgupload/1677512315.599.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/65535/51929153344_34fe30f30a_m.jpg">https://live.staticflickr.com/65535/51929153344_34fe30f30a_m.jpg</a>
VERITAS DL3 Event Data: Release v0.1 - Test Data Set
<p>The Very Energetic Radiation Imaging Telescope Array System (VERITAS; [1]) is a ground-based gamma-ray instrument at the Fred Lawrence Whipple Observatory in southern Arizona, USA. Comprising four 12m optical reflectors, VERITAS operates in the GeV-TeV energy range, with peak sensitivity between 100 GeV and 10 TeV.</p> <p>This repository contains high-level data products from VERITAS observations (2007-2024). The data includes event lists and instrument response functions processed using the Eventdisplay [2] package for calibration and reconstruction. Event lists support both point-like and full-enclosure analyses with five gamma-hadron separation cuts. Data follows the Gamma-ray Astronomy Data Format (GADF; [3]) and is compatible with open-source tools like gammapy [4].</p> <p>Access is currently restricted to VERITAS collaboration members, with future open access under discussion. Members should contact repository conveners for access.</p> <p>This is a test-release (v0.1) with data products not intended for scientific publication.</p> <p>References</p> <p>[1] VERITAS: https://veritas.sao.arizona.edu/<br>[2] Eventdisplay: an Analysis and Reconstruction Package for VERITAS [Computer software]. https://github.com/VERITAS-Observatory/EventDisplay_v4<br>[3] Data formats for gamma-ray astronomy. https://github.com/open-gamma-ray-astro/gamma-astro-data-formats<br>[4] gammapy: A python package for gamma-ray astronomy. https://github.com/gammapy/gammapy</p>
data set
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ARENA_Hierarchical Organization of Distributed Semantic Knowledge in the Human Language System_Language Study Pt. 1: stimulus set
<p>P4_WP1_01 Language Study Pt. 1: stimulus set</p> <p> </p> <p>Folder structure: </p> <p>Raw_input<br>The raw_input contains the text for every chapter of the book to be used in the experiment (Moonwalk mit Einstein: Wie aus einem vergeßlichen Mann ein Gedächtnis-Champion wurde, by Joshua Foer, translated by Ulla Rahn-Huber. Published by Riemann Verlag (28 Mar. 2011)). <br>Additionally, in the folder there is the pretrained vector model for German words (model comes from https://fasttext.cc/docs/en/crawl-vectors.html), ratings for concreteness and word frequency (all references are included in the scripts). Moreover, there is a translated version of the Things labels for intersecting the single words with the THINGS dataset (Hebart MN, Dickter AH, Kidder A, Kwok WY, Corriveau A, et al. (2019) THINGS: A database of 1,854 object concepts and more than 26,000 naturalistic object images. PLOS ONE 14(10): e0223792. https://doi.org/10.1371/journal.pone.0223792)</p> <p>Scripts<br>In this folder, there are 6 scripts to sample single words from the raw text. The scripts are numbered according to the intended order of use. <br>- 1_from_text_to_df.py: from raw text only nouns and verbs are extracted with their relative word frequency, concreteness, lemma form, and number of characters. </p> <p>- 2_cluster_words.py: cluster analysis of word vectors to sample the semantic space as broadly as possible. Loosely based on Pereira, F., Lou, B., Pritchett, B. et al. Toward a universal decoder of linguistic meaning from brain activation. Nat Commun 9, 963 (2018). https://doi.org/10.1038/s41467-018-03068-4. </p> <p>- 3_compute_orthographic_density.py: add information for OND20 for both word forms and lemma forms. </p> <p>- 4_syntactic_valency.py: this applies only to verbs. It counts the number of arguments necessary for a verb to saturate its syntactic valency (e.g., subject + object). </p> <p>- 5_sampling_nouns.py: it samples nouns by preserving the distributions of all variables. The number of characters for every word is kept under 10. Additionally, the extreme quantiles of concreteness are matched by all other variables to ensure that more concrete and more abstract words in the set are still match along the other ratings. </p> <p>- 6_sampling_verbs.py: same as above but for verbs. </p> <p>Stimuli <br>In this folder, the pool of words before sampling is included. Note that some words have been manually excluded for several reasons: e.g., parsed wrongly in their lemma form; offensive words; words coming from other languages. </p> <p> </p>
Data set used in "FACIAL WRINKLE CATEGORIZATION USING CONVOLUTIONAL NEURAL NETWORK"
<p><span>For the purpose of training the neural network, a total of 5,098 images were provided, collected over a period of 3 years. These images were categorized into 4 classes, with the number of images in each category as evenly balanced as possible, with minimal deviation from the ideal distribution</span>. <span>A tool for the detection and classification of wrinkles is provided in this way.</span></p>
Fig. 1 Braula coeca female reproductive tract, historic illustrations with original captions. a in Setting the records straight II: "single spermatheca" of Braula coeca (Diptera: Braulidae) is really the ventral receptacle
Fig. 1 Braula coeca female reproductive tract, historic illustrations with original captions. a Skaife (1922). b Alfonsus and Brown (1931). agl accessory gland, cod common ovarian duct, ot ovarian tubes, ov ovipositor, ovd oviduct, ovt ovarian tube, sp spermatheca, v vagina. Skaife, S. H. (1922). On Braula caeca, Nitzsch, a dipterous parasite of the honey bee. Transactions of the Royal Society of South Africa, 10(1), 41–48. Alfonsus, E. C., & Braun, E. (1931). Preliminary studies of the internal structures of Braula coeca Nitzsch. Annals of the Entomological Society of America, 24(3), 561–582
Fig. 4 Braula coeca ventral receptacle, fresh dissection. a Median focal plane. b in Setting the records straight II: "single spermatheca" of Braula coeca (Diptera: Braulidae) is really the ventral receptacle
Fig. 4 Braula coeca ventral receptacle, fresh dissection. a Median focal plane. b Inner wall with cuticular ridges reconstructed by stacking serval focal plains. cr cuticular ridges, ep epithelium, iw inner wall, mu muscle layer, ow outer wall, sp spermatozoa. Bar: 20 μm
Fig. 3 in Setting the records straight II: "single spermatheca" of Braula coeca (Diptera: Braulidae) is really the ventral receptacle
Fig. 3 Braula coeca female reproductive tract, anterior portion of vagina with associated structures, stained with chlorazol black E, lateral aspect. ag accessory glands, agd accessory gland duct, co common oviduct, sp spermathecae, spd spermathecal duct, va vagina, vr ventral receptacle. Bar: 100 μm
SET-catalysed cyclobutanation
<p>This dataset contains the optimised files for the thesis chapter SET-catalysed cyclobutanation.</p>
A Validated Set of Smells in Model-View-Controller Architectures: ICSME 2016 appendix
<p>Appendix of our ICSME 2016 paper.</p>
Seed retention data set
<p>Seed retention data set </p>
Example set of Arc Images
<p>Example set of Arc Images</p>
Set 03
<p>Images</p>
FIG. 1 in A Target Enrichment Bait Set for Studying Relationships among Ostariophysan Fishes
FIG. 1. Relationships among the major otocephalan subclades and their taxonomic names. See Data Accessibility for tree file.
Magnetic properties of ultramafic rocks in the Troodos ophiolite, with compiled oxygen & hydrogen isotope data and magnetic susceptibility of serpentinites from different tectonic settings
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Data set. Exploring the link between cation exchange capacity and magnetic susceptibility
Open the record for dataset details and reuse information.
FIGURE 2 in First records of Asbestopluma hypogea Vacelet and Boury-Esnault, 1996 (Porifera, Demospongiae Cladorhizidae) on seamounts and in bathyal settings of the Mediterranean Sea
FIGURE 2. New Mediterranean Asbestopluma hypogea occurrences from various habitats; specimens are 0.5 to 1.5 cm in size. A) and B) Ausias March Seamount, at -100 m within the photic zone, on active coralligenous beds. C) and D) Chella Bank, at - 167 m in an aphotic setting, on biodetrital grounds, adjacent to corallimorpharians (Sideractis glacialis), Demospongiae and brachiopods (Megerlia truncata); D) is a close up of C). E) to G) Bathyal, aphotic occurrences, in the Strait of Sicily from: E) - 634 m, Urania Bank, on Madrepora oculata; F) -707 m, off Linosa, on fossil Neopycnodonte zibrowii; G) -644 m, Urania Bank, on rock. H) Enarete Seamount, -660 m, on rock. E) to H) were photographed on board after ROV and grab sample collection.
FIGURE 1. Spectral analysis results for a hypothetical data set. Each bar represents a in Exploring character conflict in molecular data*
FIGURE 1. Spectral analysis results for a hypothetical data set. Each bar represents a different split in the tree. Bars above the x-axis represent the relative degree to which the data support that split. Bars below the x-axis represent the relative degree to which the data support relationships that conflict with (i.e. are incompatible with) that split. In this example, there is significant phylogenetic signal for relationships that conflict with splits 3, 5, 8 and 11.
Physical activity and RCI data sets
<p>Raw data from two studies on Lenten physical activity patterns</p>
Data set: Yearly RACMO2.3p2 variables, threshold temperature and Sentinel-2 melt pond volume
<p>Data set of yearly regional atmospheric climate model RACMO2.3p2 data over Antarctica. At the lateral and ocean boundaries the model is forced by ERA5 reanalysis data every 6 hours from 1979-2021. The model is run at 27 km horizontal resolution for the entire Antarctic ice sheet, which constitutes an update of the simulation forced from 1979-2018 by ERA-Interim reported in van Wessem et al., 2018. Upper air relaxation is also active.<br> To simulate the recent past (1950-2014) and the future (2015-2100) we use RACMO2.3p2 at 27 km resolution to dynamically downscale one historical and three future projections emission scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) of the Coupled Model Intercomparison Project Phase 6 (CMIP6). Detailed CESM2 description and latest updates are provided in Danabasoglu et., al 2020 and an evaluation over Greenland in Van Kampenhout et al., 2020.</p> <p>These data are then used to fit exponential and power-law relations of annual total liquid water production (melt + rain) and snow accumulation (snowfall - sublimation) to calculate MoA sensitivity as a function of annual average 2 m temperature. A comparison with Sentinel-2 melt pond observations can then be performed.</p> <p><strong>Data set includes: </strong></p> <p><strong>RACMO2.3p2-ERA5-3H</strong> - Yearly average precipitation, snowfall, snowmelt and sublimation for the period 1979-2021 in mm w.e per year, and yearly average 2 m temperature in K, forced by 3 hourly ERA5 reanalysis data.</p> <p><strong>RACMO2.3p2-hist_r567</strong> - Yearly average precipitation, snowfall, snowmelt and sublimation for the period 1950-2014 in mm w.e per year, and yearly average 2 m temperature in K, forced by 6 hourly CESM2 historical data.</p> <p><strong>RACMO2.3p2-SSP''126,245,585''_r567</strong> - Yearly average precipitation, snowfall, snowmelt and sublimation for the period 2015-2100 in mm w.e per year, and yearly average 2 m temperature in K, forced by 6 hourly CESM2 future scenario (SSP1-2.6, SSP2-4.5, SSP5-8.5) data.</p> <p><strong>TT_ALL.nc </strong>- Antarctic threshold temperature <span class="math-tex">\(T_T\)</span> for MoA = 0.7 as described in the Methods section.</p> <p><strong>dT_ALL.nc </strong>- Uncertainty in Antarctic threshold temperature <span class="math-tex">\(T_T\)</span> for MoA = 0.7 as described in the Methods section.</p> <p><strong>TT_IS.nc </strong>- Antarctic threshold temperature <span class="math-tex">\(T_T\)</span> for MoA = 0.7 of 56 selected ice shelves as described in the Methods section.</p> <p><strong>dT_IS.nc </strong>- Uncertainty in Antarctic threshold temperature <span class="math-tex">\(T_T\)</span> for MoA = 0.7 of 56 selected ice shelves as described in the Methods section.</p> <p><strong>S2_meltpondvolume_v3.nc</strong> - Sentinel-2 melt pond volume as described in the Methods section.</p> <p><strong>Height_latlon_ANT27.nc </strong>- Grids of latitude, longitude, surface elevation (height), land/ice mask (mask2d), grounded land/ice mask (maskgrounded2d), aspect ratio, and surface slope.</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.