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7,195 results for “SET”
Data set for the article: An artificial neural network approach to finding the key length of the Vigenere cipher
<p>Data supporting the work in the article: An artificial neural network approach to finding the key length of the Vigen\`{e}re cipher.</p>
Value of water level class observations for parameter set selection in hydrological modelling
<p>Data corresponding to the study "<span>Value of water level class observations for parameter set selection in hydrological modelling</span>", published in the Hydrological Sciences Journal.</p>
Flower visitors and fruit set of sweet cherry in Germany
<p><span>Mason bees (<em>Osmia </em>spp.) are efficient fruit tree pollinators that can be encouraged to occupy and breed in artificial nesting material. </span><span>In sweet cherry orchards</span><span>, they are occasionally used as an alternative managed pollinator as a replacement for or in addition to honey bees (<em>Apis</em> <em>mellifera</em>). Yet, the lack of practical guidelines on management practices, e.g., optimal stocking rates, for both mason bee nesting material and honey bees might compromise pollination service provision. In this study, we assessed the relationship between stocking rates (honey bee hives and mason bee nesting material) and the abundance of honey bees and mason bees in 17 sweet cherry (<em>Prunus</em> <em>avium</em>) orchards in Central Germany. </span><span>We furthermore performed a</span><span> pollination experiment </span><span>to</span><span> explore the interactive effect of mason bees and honey bees on sweet cherry fruit set. In the orchards, both honey bee and mason bee abundance increased with increasing stocking rates of hives or nesting material, respectively. Honey bee abundance increased linearly with stocking rates. In contrast, mason bee abundance asymptoted at 2-3 nesting boxes per ha, beyond which more boxes resulted </span><span>in</span><span> little increase in visitation rate. Our pollination experiment demonstrated that the orchards were pollen limited, with only 28% of insect-pollinated flowers setting fruit versus 39% of optimally hand-pollinated flowers. Honey bees and mason bees enhanced sweet cherry fruit set, but only when both were present and not when either was present alone in an orchard. Our findings demonstrate that offering nesting material for mason bees and employing honey bee hives can enhance bee abundance in sweet cherry orchards. By increasing honey bee abundance in combination with enhanced mason bee abundance, farmers can </span><span>substantially</span><span> boost fruit set and potentially sweet cherry yield. To enhance pollination services, farmers should consider the benefits of increasing pollinator biodiversity as an immediate</span><span> benefit to improve crop yields.</span></p>
Data Set: Radio Frequency Senser (RFS) example waveforms, altitudes, and density plot
<p>This data set contains data for the paper entitled "Radio Frequency Sensor: radio frequency lightning detection in geostationary orbit", submitted to <em>Radio Science </em>in December 2023.</p> <p>This data set contains three types of RFS data. 1) The first are time domain waveforms of three lightning events, in both the RFS high band (116 – 142 MHz) and the RFS low band (10-60 MHz), sampled at 155 MHz. The waveforms are right-hand circularly polarized waveforms. 2) The second type of data is altitudes and locations of trans-ionospheric pulse pairs (TIPPs) over time. The locations were determined by time coincidence with geolocated World Wide Lightning Location Network strokes. 3) The third type is RFS events per square kilometer per year in latitude and longitude. The RFS event were located by time correlation to Earth Networks Global Lightning Network lightning strokes.</p> <p><strong>Data set 1:</strong></p> <p>Consists of six ASCII files – 3 high band & 3 low band example RFS right-hand circularly polarized waveforms. Each ascii file contains a header with the RFS event time in UTC, the label of “RFS high band (77.5 – 155 MHz)” or “low band (0 – 77.5 MHz)”, and sample rate (155 MHz). Data following the header are time samples of electric field in uV/m sampled at 155 MHz.</p> <p>Filenames are:</p> <p>RFS_waveform_HighBand_20230607_010803.txt</p> <p>RFS_waveform_HighBand_20230607_015553.txt</p> <p>RFS_waveform_HighBand_20230607_034055.txt</p> <p>RFS_waveform_LowBand_20230607_010803.txt</p> <p>RFS_waveform_LowBand_20230607_015553.txt</p> <p>RFS_waveform_LowBand_20230607_034055.txt</p> <p> </p> <p><strong>Data set 2:</strong></p> <p>Filename = ‘RFS_TIPPs_20230607_0100-0500_UTC.txt’</p> <p>1 ASCII comma separated value (CSV) file. Columns are:</p> <p>1. UTC date yyyy/mm/dd</p> <p>2. UTC seconds of day</p> <p>3. WWLLN-determined latitude (degrees, wwlln_latitude in header)</p> <p>4. WWLLN-determined longitude (degrees, wwlln_longitude in header)</p> <p>5. TIPP-estimated height (km, height in header)</p> <p> </p> <p><strong>Data set 3:</strong></p> <p>Filename = ‘RFS_map.csv’</p> <p>1 CSV file of a 2-dimensional data set.</p> <p>1. Row 1, Longitude (degrees, in 0.25-degree steps)</p> <p>2. Column 1, Latitude (degrees, in 0.5-degree steps)</p> <p>3. 2-D grid in latitude and longitude: events per square kilometer per year</p> <p>Notes: Since the RFS coverage range goes across longitude = -180/180 degrees, longitudes go from 147.75 to 180, then start at -180 to -12.75. Latitude range goes from -58.5 to 68.5, as there were no detected RFS events outside these latitudes.</p> <p>The three examples given in data set 1 are those shown in LA-UR-23-32419, Figure 2. The TIPP data in data set 1 is shown in LA-UR-23-32419, Figure 4, and comprises data from 07 June 2023 between 01:00-05:00 UTC. Data set 3 contains RFS event rates per sq. km per year for data from 1 March 2022 – 1 March 2023, with the caveats described in LA-UR-23-32419.</p>
Data set of strain, differential phase, RS value, strain and PGV.
<p>The data stored here is the observations of strain, differential phase, RS value, strain and PGV in the paper of ‘<span>Potential of Earthquake Strong Motion Observation Utilizing a Linear </span><span>Estimation</span><span> Method for Phase Cycle Skipping in Distributed Acoustic Sensing</span>’, by Katakami et al.</p>
Data set: Al-Biruni Earth Radius Optimization with Deep Transfer Learning based Scene Image Classification on Remote Sensing Imagery
Open the record for dataset details and reuse information.
Set of 4 597 baits designed in collaboration with RapidGenomics (Gainesville, Florida, USA) to capture the identified low‐ to single‐copy nuclear genes (LSCN).
<p>This dataset presents a set of 4,597 baits designed in collaboration with RapidGenomics (Gainesville, Florida, USA) to capture the identified low- to single-copy nuclear genes (LSCN) in our study. These baits were instrumental in our research on the evolutionary relationships of the Neotropical magnolias based on plastome and nuclear phylogenomics. The data provided are crucial for understanding the methodology and results of our study.</p>
castle parts set
set of castle' s parts: walls and turrets to build a castle or a medieval city's boundaries......... Source: Objaverse 1.0 / Sketchfab
Alexander the Great Sets Fire to Persepolis
Alexander the Great Sets Fire to Persepolis, Relief in marble. Executed in 1865 by Brynjulf Larsen Bergslien and Christian Constantin Olsen under the supervision af H.W. Bissen, after Thorvaldsen's original model from 1832. (A 514). Thorvaldsen Museum (Copenhagen, Denmark). Made with Memento Beta (now ReMake) from AutoDesk. In Thorvaldsen's work, Alexander the Great is mainly associated with the so-called Alexander Frieze from 1812. What is portrayed here is a rather different aspect of Alexander's personality: In the Alexander Frieze, Alexander arrives at Babylon as a peace-loving hero - indeed, as a god. In this relief, Alexander is drunk, and is allowing himself to be tempted by his mistress to carry out a terrible deed, namely, to set fire to the Persians' capital city, Persepolis. Among the other figures, we can see Alexander's friend Parmenio, who is attempting to restrain him; while on the far left a Persian can be seen leaving in despair. For more updates, please follow @GeoffreyMarchal on Twitter. Source: Objaverse 1.0 / Sketchfab
A set of ancient weapons
A set of ancient weapons, sword, one-handed ax, two-handed ax, dagger and spear. Adjusted to real dimensions Source: Objaverse 1.0 / Sketchfab
High Poly Sushi Sauce Set
A high poly sushi sauce set with wasabi and ginger. Modeled and sculted in Blender. Textured with Substance Painter. Source: Objaverse 1.0 / Sketchfab
A set of egg cups with a salt cellar
ID no.: MNS/MS/400 - H Museum: Nowy Sącz District Museum https://muzea.malopolska.pl/en/objects-list/2454 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Black and white "Belweder" — OT 1782 TV set
ID no.: MIM 279/VI–51 http://muzea.malopolska.pl/en/obiekty/-/a/26867/1115704 Museum: The Municipal Engineering Museum Digitalisation: RDW MIC, Małopolska's Virtual Museums project Source: Objaverse 1.0 / Sketchfab
The Poppies (stage set 4 of 5)
Attribution: National Library of Scotland, V&A Dundee, and John Byrne. Visit https://www.nls.uk/collections/theatre/cheviot-3d for full details Source: Objaverse 1.0 / Sketchfab
Mossy Stone Set 05 Low
This was captured as part of a set on an overcast day in March 2021, on location in the foothills of the Pennines, UK. A 16km round trip by foot to the location, 2000+ photos captured during the day and around 38hrs to process and sort all of the data from the shoot. There is a high-resolution version available on ArtStation. (Link incoming) The data output has not been post-processed beyond a quick outlier removal. There will still be outliers and the mesh will require retopology for production use. The UVs are parameterised atlases, but the high res texture is enough to bake out a decent map from IMO. The textures have not been delit. Source: Objaverse 1.0 / Sketchfab
Get Out - Asset Set
Get Out is one of six Games we made at School of Games in Cologne to showcase our School at Gamescom 2019. The premise of the game is that we had to show it in a time limit of 1 minute, due to the nature of the Gamescom being a quick lookup event. I did most of the Game Design and made sure that the feedback that I got from our Play testers got Implemented. Due to the fact that I am of course also a Game Artist, I made these Assets based on our vision. Source: Objaverse 1.0 / Sketchfab
Data set for Earthquakes Trigger Rapid Flash Boiling Front at Optimal Geologic Conditions
<p>Data set for manuscript "Earthquakes Trigger Rapid Flash Boiling Front at Optimal Geologic Conditions" submitted to Geophysical Research Letters.</p>
Trellech 2nd set of trenches
second set of trenches , freshly excavated this year from the site. Source: Objaverse 1.0 / Sketchfab
Set de Armas
If you want to help me to buy my wacom Si quieren ayudarme para comprar mi wacom https://paypal.me/AnthonyBossGS?locale.x=es_XC If you want to see the ads to improve my game Si quieren ver los anuncios para mejorar mi juego https://play.google.com/store/apps/details?id=com.Stilted.RAID&hl=es_CO Source: Objaverse 1.0 / Sketchfab
Viking Weapons and Boat Set
Small pack I made for challenge #AdventureKitChallenge . Textures are combination of Smart materials from 3DCoat and handpainted parts. I had a lot of fun and learned lots of cool things when it comes to making such models. *Low to mid poly models* *2K texutres for all models* Made in 3DCoat and Blender No external textures used Source: Objaverse 1.0 / Sketchfab
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.