Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
7,195
datasets available to search
ShareScore release 0.9.0
Dataset results
7,195 results for “SET”
Data set associated to simulations performed within the manuscript "Endosperm turgor pressure both promotes and restricts seed growth and size".
<p>This dataset contains the following files</p> <ul> <li>2F4-Col0-iku2-Fig.3f and Supp. Fig.9 <ul> <li>Slices of seeds from 3 to 9 Days post-anthesis (DPA) stained with calcofluor (channel 1) and whose unesterified pectins are labelled with the 2F4 antibody (channel 2)</li> <li>2 genotypes: Col0 and iku2</li> <li>3 independent experiments</li> </ul> </li> <li>JIM5-Col0-ap2-Fig. 4d and Supp Fig. 12b <ul> <li>Slices of seeds from 3 to 9 Days post-anthesis (DPA) stained with calcofluor (channel 1) and whose demethylesterified pectins are labelled with the JIM5 antibody (channel 2)</li> <li>2 genotypes: Col0 and ap2-6</li> <li>2 independent experiments</li> </ul> </li> <li>JIM5-Col0-iku2-Fig. 3h and Supp Fig. 10 <ul> <li>Slices of seeds from 3 to 9 Days post-anthesis (DPA) stained with calcofluor (channel 1) and whose demethylesterified pectins are labelled with the JIM5 antibody (channel 2)</li> <li>2 genotypes: Col0 and iku2</li> <li>3 independent experiments</li> </ul> </li> <li>LM19-Col0-ap2-Fig. 4b and Supp Fig. 12a <ul> <li>Slices of seeds from 3 to 9 Days post-anthesis (DPA) stained with calcofluor (channel 1) and whose demethylesterified pectins are labelled with the LM19 antibody (channel 2)</li> <li>2 genotypes: Col0 and ap2-6</li> <li>2 independent experiments</li> </ul> </li> <li>LM19-Col0-iku2-Fig. 3d and Supp Fig. 8 <ul> <li>Slices of seeds from 3 to 9 Days post-anthesis (DPA) stained with calcofluor (channel 1) and whose demethylesterified pectins are labelled with the LM19 antibody (channel 2)</li> <li>2 genotypes: Col0 and iku2</li> <li>3 independent experiments</li> </ul> </li> <li>pELA1-VENUS-Col0-iku2-Fig3c <ul> <li>Confocal stack of developing seeds expressing <em>pELA1::3X-VENUS-N7</em></li> <li>2 genotypes: Col0 and iku2</li> <li>1 independent experiments</li> </ul> </li> <li>pELA1-VENUS-Col0-iku2-Supp Fig. 6 <ul> <li>Confocal stack of developing seeds expressing <em>pELA1::3X-VENUS-N7</em></li> <li>2 genotypes: Col0 and iku2</li> <li>1 independent experiments</li> </ul> </li> <li>Seed-size-ap26-iku2-Fig.5e-Supp-Fig. 12c <ul> <li>Pictures of dry seeds</li> <li>4 genotypes: Col0, iku2, ap2-6 and iku2 ap2-6</li> <li>2 independent experiments</li> </ul> </li> <li>Wall-rupture-Col0-iku2-Fig3k <ul> <li>Confocal stack of developing seeds expressing <em>LTi6b-GFP </em>(First channel) and dyed with FM4-64 (second channel) imaged after a 40 µm indentation to break testa wall</li> <li>2 genotypes: Col0 and iku2</li> <li>2 replicates</li> </ul> </li> <li>Wall-rupture-Col0-iku2-Supp Fig. 11 <ul> <li>Confocal stack of developing seeds expressing <em>LTi6b-GFP </em>(First channel) and dyed with FM4-64 (second channel) imaged after a 30 µm or a 50µm indentation to break testa wall</li> <li>2 genotypes: Col0 and iku2</li> <li>2 replicates</li> </ul> </li> <li>181211-Col0-iku2-Timelapse-Seed-Size <ul> <li>Pictures of developing seeds from 0 (ovules) days post-anthesis (DPA) to 10 DPA</li> <li>2 genotypes: Col0 and iku2</li> </ul> </li> <li>190125-Col0-iku2-Timelapse-Seed-Size <ul> <li>Pictures of developing seeds from 0 (ovules) days post-anthesis (DPA) to 10 DPA (no 9DPA)</li> <li>2 genotypes: Col0 and iku2</li> </ul> </li> <li>190523-Col0-ede13-Timelapse-Seed-Size <ul> <li>Pictures of developing seeds from 0 (ovules) days post-anthesis (DPA) to 9DPA</li> <li>2 genotypes: Col0 and <em>ede1-3</em></li> </ul> </li> <li>200724-Col0-iku2-Timelapse-Seed-Size <ul> <li>Pictures of developing seeds from 0 (ovules) days post-anthesis (DPA) to 10DPA</li> <li>2 genotypes: Col0 and <em>iku2</em></li> </ul> </li> <li>200921-Col0-iku2-Timelapse-Seed-Size <ul> <li>Pictures of developing seeds from 0 (ovules) days post-anthesis (DPA) to 10DPA</li> <li>2 genotypes: Col0 and <em>iku2</em></li> </ul> </li> <li>201023-Col0-ede13-Timelapse-Seed-Size <ul> <li>Pictures of developing seeds from 0 (ovules) days post-anthesis (DPA) to 10DPA</li> <li>2 genotypes: Col0 and <em>ede1-3</em></li> </ul> </li> <li>210519-Col0-Timelapse-invitro-Sorbitol <ul> <li>Picture of developing WT seeds (Col-0) at 3, 6, 9 and 12DPA</li> <li>Fruits were grown <em>in planta </em>(uncut) or <em>in vitro</em> from 3DPA onwards</li> <li>Fruits growing <em>in vitro</em> were cultivated in ½ MS + 1% Sucrose + 0.1X PPM (Plant Preservative Medium) + 1X Gamborg Vitamins + 0 to 200mM Sorbitol</li> <li>Note that the file containing the pictures from this experiment was too large for Zenodo, the pictures were thus transformed into 8 bit black/white pictures, a 2x2 binning was applied, before a saving into tiff. The original pictures are available at: <a href="http://flower.ens-lyon.fr/">http://flower.ens-lyon.fr/</a></li> </ul> </li> <li>210709-Col0-Timelapse-invitro-Sorbitol <ul> <li>Picture of developing WT seeds (Col-0) at 3, 6, 9 and 12DPA</li> <li>Fruits were grown <em>in planta </em>(uncut) or <em>in vitro</em> from 3DPA onwards</li> <li>Fruits growing <em>in vitro</em> were cultivated in ½ MS + 1% Sucrose + 0.1X PPM (Plant Preservative Medium) + 1X Gamborg Vitamins + 0 to 200mM Sorbitol</li> <li>Note that the file containing the pictures from this experiment was too large for Zenodo, the pictures were thus transformed into 8 bit black/white pictures, a 2x2 binning was applied, before a saving into tiff. The original pictures are available at: <a href="http://flower.ens-lyon.fr/">http://flower.ens-lyon.fr/</a></li> </ul> </li> <li>data.zip file: <ul> <li>Measurements of seed growth tracking experiments performed on WT plants as well as iku2 and ede1-3 mutants.</li> <li>Measurements of endosperm pressure performed on WT plants and iku2 mutants.</li> <li>Simulation results from a parameter space exploration of the system of ODEs we studied within the scope of the work described in the manuscript.</li> </ul> </li> </ul>
OCU settings: aerosol characterisation campaign
<p>Datasets for Section "3.1. Sample stability and general aerosol properties" of the following publication:</p> <p>"The organic coating unit, an all-in-one system for reproducible generation of secondary organic matter aerosol" by Alejandro Keller, Daniel M. Kalbermatter, Kate Wolfer, Patrik Specht, Peter Steigmeier, Julian Resch, Markus Kalberer, Tobias Hammer & Konstantina Vasilatou, DOI: 10.1080/02786826.2022.2110448.</p> <p>Aerosol properties, such as GMDmob, EC/TC mass fraction, SSA, and particle number concentration, for various operation points of the OCU at different days.</p> <p> </p>
Louvre aulos: basic scales and keys, Imperial setting (Lynch 2022)
<p>As discussed in a forthcoming publication, this figure represents the Iastian/Hypoiastian keys produced by the Louvre Aulos in its Imperial setting.<br> <br> This setting is consistent with the tunings recorded in the Imperial musical documents, discussed in Lynch 2023a and with Ptolemy's <em>harmogai, </em>transcribed and discussed in Lynch forthcoming.<br> </p> <p>Lynch, T. A. C. (2023a). Unlocking the Riddles of Imperial Greek Melodies: the 'Lydian' metamorphosis of the Classical harmonic system. <a href="https://doi.org/10.5281/zenodo.6927929">https://doi.org/10.5281/zenodo.6927929</a></p> <p>Lynch, T. A. C. <em>Ancient Greek melodies and the invention of the harmonic system: from Euripides to Early Christianity. </em>Monograph in progress. <a href="https://doi.org/10.5281/zenodo.7524698">https://doi.org/10.5281/zenodo.7524698</a></p>
Louvre aulos basic scales – Classical setting (Lynch 2022)
<p>This figure represents the Phrygian/Hypophrygian scales produced by the Louvre Aulos, discussed in detail in Lynch 2023.This setting is consistent with the Classical and Hellenistic evidence discussed in Lynch 2022a–b, and especially with Athenaeus' <em>Paean</em> (<em>DAGM</em> 20).</p> <p> </p> <p>Lynch, T. A.C., 2022a ‘Unlocking the Riddles of Classical Greek Melodies I: Dorian Keys to the Harmonic Revolution of the New Music and the Hellenistic Musical Documents’, <em>Greek and Roman Musical Studies</em> 10.2, 383-415. <a href="https://bit.ly/3S34l3w">High-res file on Academia.edu</a> </p> <p>Lynch, T. A.C., 2022b ‘Unlocking the Riddles of Classical Greek Melodies II: the Revolution of the New Music in the Ashmolean Papyri (<em>DAGM</em> 5–6) and Athenaeus’ <em>Paean </em>(<em>DAGM</em> 20)’, <em>Greek and Roman Musical Studies</em> 10.2, 416-467. <a href="https://bit.ly/3S34l3w">High-res file on Academia.edu</a><a href="https://bit.ly/3rUWrP1"> </a></p> <p>Lynch, T.A.C., 2023. <em>Ancient Greek melodies and the invention of the harmonic system: from Euripides to Early Christianity. </em>Monograph in preparation (over 80000 words).</p>
How to change your linguistic habits? Set your goals
<p>The animation presents an imaginary day of a person, who plans ahead in order to use her own language in different situations. It is a matter of goal setting.</p> <p>Credits - concept art: Réka Kassay. Animation: Judith Vicsi, Bence Orosz. Graphics: Éva Páncél. Narration text: Erika Keszeg, Tibor Toró.</p>
"Neptun" tv set from the house of Szymon Kluger
Full name: **TV set from the house of Szymon Kluger in Oświęcim, Poland** Model: "Neptun C" OT 1441 Manufacturer: Gdańskie Zakłady Radiowe / Gdańsk Radio Factory (1965) A TV set from the collection of objects found in the house of Szymon Kluger (1925–2000), the last Jewish resident of Oświęcim. Szymon was one of the Jewish residents of Oświęcim who survived the Holocaust and eventually returned to their hometown. Surprisingly, he did so in the 1960s, when the last remaining Jews were on the point of leaving the town in the face of mounting antisemitism and a growing sense of isolation. **For more images and further information, visit:** https://muzea.malopolska.pl/pl/lista-obiektow/2886 Inventory number: MZM/DS/119 Localisation of the physical object: [Auschwitz Jewish Center](https://ajcf.pl/en/), Oświęcim, Poland **Digitalisation: Regional Digitalisation Lab, Małopolska Institute of Culture in Kraków, Poland; "Virtual Museums of Małopolska" project** Source: Objaverse 1.0 / Sketchfab
Book and Pencil Set
This model is suitable for use as an icon in social media or various business purposes. The original format for this model was created in Blender. Source: Objaverse 1.0 / Sketchfab
Western Street Set - Photogrametry
Western Street - Photogrametry Need a 3D Interactive Experience made for you? Email: hello@ariondigital.com phone number: +1 661.388.4504 website: www.ariondigital.com blog: www.ariondigital.com/3d-visual-fx-interactive-maps-blog facebook: www.facebook.com/ArionDigital3D linkedin: www.linkedin.com/company/ariondigital twitter: twitter.com/ArionDigital3D instagram: www.instagram.com/ariondigital Source: Objaverse 1.0 / Sketchfab
Sugar bowl from Aleksander Józef Sułkowski's set
**Sugar bowl from Aleksander Józef Sułkowski's set** A sugar bowl with a lid. The bowl is an oval flattened and buckled vase on four volute legs. The lid is topped with a handle in the shape of a cone. The legs are made up of dual scrollwork patterns with female masks in palmette crowns placed between them; their back side is additionally decorated with raised acanthus leaves. Around the edge, there is a characteristic woven relief, called Sułkowski's pattern (Sułkowski Ozier). **For more images and further information, visit:** https://muzea.malopolska.pl/en/objects-list/1207 Inventory number: ZKWawel 9391 Localisation of the physical object: Wawel Royal Castle – National Art Collection, Kraków, Poland **Digitalisation: Regional Digitalisation Lab, Małopolski Institute of Culture in Kraków, Poland** Source: Objaverse 1.0 / Sketchfab
Vodka distillation set (a boiler)
1990s, Kardam Inventory number: MT-E/3534 District Museum in Tarnów https://muzea.malopolska.pl/en/objects-list/1444 Source: Objaverse 1.0 / Sketchfab
Bauhaus tea set
Bauhaus tea set in copper, brass and rosewood circa 1924. Four-piece tea set designed by Marianne Brandt (German, 1893–1983). https://en.wikipedia.org/wiki/Marianne_Brandt Table after designs by Marcel Breuer with chrome-plated steel andwooden top, 1920s https://en.wikipedia.org/wiki/Marcel_Breuer Model created in Blender and textured in Substance Painter Source: Objaverse 1.0 / Sketchfab
Vodka distillation set
ID no.: MT-E/3446 District Museum in Tarnów https://muzea.malopolska.pl/en/objects-list/1443 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Shirakawago Village Set House 1
Half hand-painted, and highly detailed, this model is now available on Marketplaces. Please leave a Like or a Comment if you like the model to help me bring you better products. Thank you! Source: Objaverse 1.0 / Sketchfab
Sydney Trains S Set Low Poly
The S sets were a class of electric multiple unit operated by Sydney Trains and its predecessors from 1972 up until 2019. The carriages were of stainless steel, double deck construction. The class operated in New South Wales, Australia and was the oldest in the Sydney Trains fleet until June 2019, when they were replaced by the Waratah Series 2 (B Set) trains. Prior to their retirement, the S Sets were the last class in the entire fleet that was not air-conditioned, earning them the nicknames "Tin cans" and "Sweat Sets". They were also nicknamed "Ridgys" because of their fluted stainless steel appearance; they shared this nickname with similar looking K sets and C sets. Source: Objaverse 1.0 / Sketchfab
Large data set for Ng, Poon, et al. 2017
<p>Accompanies a manuscript on the presence of the aristolochic acid mutational signature in liver cancers from Taiwan and other countries. Contains:</p> <p>1. Output from ASCAT (copy number alterations and aneuploidy)</p> <p>2. Output from GISTIC (significantly amplified and deleted genomic regions)</p> <p>3. IGV screenshots used in estimating false discovery rate for somatic single base substitutions and small insertions and deletions.</p>
Set simulations small pure bilayers (72 lipids) using charmm36 ff in gromacs (DPPC, POPC)
<p>Collection simulations of DPPC and POPC bilayers in gromacs using the charmm36 force field. The list of systems describing their particular simulation conditions can be found below:</p> <p>1) DPPC_72_325K (500ns)<br> 2) DPPC_72_310K_rmcomm_leaflets (500ns)<br> 3) DPPC_72_310K_rmcomm_leaflets_low_hydration (500ns)<br> 4) POPC_72_310K (500ns)<br> 5) POPC_72_310K_rmcomm_leaflets (500ns)<br> 6) POPC_72_310K_rmcomm_leaflets_low_hydration (550ns)<br> 7) POPC_72_303K_rmcomm_leaflets_low_hydration (550ns)</p> <p>For further information read the Readme file provided for each simulation.</p>
0.48 Angstrom 3,5-dinitrobenzoic acid (3,5-DNBA) C2/c polymorph single crystal X-ray diffraction data set recorded at Diamond Light Source I19-1
<p>Data set from 3,5-dinitrobenzoic acid (3,5-DNBA) C2/c polymorph recorded during in house research (DLS proposal: NR18193). Each run is saved as a single compressed tar file for convenience, runs 1, 2, 3 correspond to 3 x 170 degree omega scans at phi 0, 120, 240 degrees with 2-theta of 30 degrees, run 4 phi scan at 2-theta 0, runs 5-8 omega scans at 2-theta 55 degrees, giving data to 0.48A.</p> <p> </p> <p>Now including scale factor graph & report from processing</p>
Data set for the paper "Predicting Relevance of Change Recommendations"
<p>Data set for the paper Predicting Relevance of Change Recommendations by Thomas Rolfsnes, Leon Moonen, and David Binkley, In International Conference on Automated Software Engineering (ASE), pp. 694–705. 2017, IEEE.</p> <p>Please cite this work by referring to the corresponding conference publication (a preprint is included in this package).</p> <p>Abstract: Software change recommendation seeks to suggest artifacts (e.g., files or methods) that are related to changes made by a developer, and thus identifies possible omissions or next steps. While one obvious challenge for recommender systems is to produce accurate recommendations, a complimentary challenge is to rank recommendations based on their relevance. In this paper, we address this challenge for recommendation systems that are based on evolutionary coupling. Such systems use targeted association-rule mining to identify relevant patterns in a software system's change history. Traditionally, this process involves ranking artifacts using interestingness measures such as confidence and support. However, these measures often fall short when used to assess recommendation relevance. We propose the use of random forest classification models to assess recommendation relevance. This approach improves on past use of various interestingness measures by learning from previous change recommendations. We empirically evaluate our approach on fourteen open source systems and two systems from our industry partners. Furthermore, we consider complimenting two mining algorithms: CO-CHANGE and TARMAQ. The results find that random forest classification significantly outperforms previous approaches, receives lower Brier scores, and has superior trade-off between precision and recall. The results are consistent across software system and mining algorithm.</p>
Minimal data set about Cipro intercalation on NaFh
<p>The Excel file contains 8 sheets with all minimal data set. It includes the optimization of chemical-physical parameters and the data corresponding to solid samples characterization.</p>
Using progress sets on non-deterministic transition systems for multiple UAV motion planning
<p>In this demonstration, two Aerial Robotic Workers are given a surveillance task where the first drone (red circle) starts in the blue area, the second drone (blue circle) starts in the red area, and the drones need to infinitely often exchange their positions while avoiding collisions and avoiding leaving the flying area. A controller for the multi-agent system guaranteeing the satisfaction of this high-level task is synthesized by first considering a non-deterministic and finite abstraction of the dynamical system, and then using the notion of progress sets corresponding to sets of state-control pairs for which eventual progress towards the desired goal is guaranteed.</p>
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.