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Dataset results
638 results for “thinning”
Tuning CH3NH3Pb(I1-xBrx)3 Perovskite Oxygen Stability in Thin Films and Solar Cells
<p>The rapid development of organic-inorganic lead halide perovskites has resulted in high efficiency photovoltaic devices. However the susceptibility of these devices to degradation under environmental stress has so far hindered commercial development, requiring for example expensive device encapsulation. Herein, we have investigated the stability of CH3NH3Pb(I1-xBrx)3 [x = 0..1] thin film and solar cells under controlled humidity, light, and oxygen conditions. We show that higher bromide ratios increases tolerance to moisture, with x = 1 thin films being stable to 120 hr of moisture stress. Under light and dry air, partial bromide (x < 1) subsitution does not enhance film stability significantly, with the corresponding solar cells degrading within two hours. In contrast CH3NH3PbBr3 films show excellent stability, with device stability being limited by the organic interlayer. For these x = 1 films we show charge carriers are quenched in the presence of oxygen and form superoxide; however in contrast to perovskites containing iodide, this superoxide does not degrade the crystal. Our observations show that iodide limits the oxygen and light stability of CH3NH3Pb(I1-xBrx)3 perovskites, but that CH3NH3PbBr3 provides an opportunity to develop inherently stable high voltage photovoltaic devices and 4-terminal tandem solar cells.</p>
Oxidation of thin films at the air-water interface of atmospheric aerosol
<p>X-ray reflectivity data (reflectivity vs Q) for the oxidation of insoluble organic material at the air-water interface. The organic material was extracted from atmospheric aerosol and sea water samples. The organic material was reacted with gas-phase ozone and aqueous phase hydroxyl radicals. The reflectivity data was collected at the Diamond Light source on I07 in May 2013 (SI8744) and April 2014 (SI9632) funded by STFC and NERC. The data supports a publication in Atmospheric Environment entitled “Are organic films from atmospheric aerosol and sea water inert to oxidation by ozone at the air-water interface?"</p>
Cyclic tensile-compressive tests on thin concrete boundary elements with a single layer of reinforcement prone to out-of-plane instability
<p>The growing need for residential housing in Latin American countries has led to the construction of reinforced concrete buildings with wall thicknesses as low as 8-10 cm. Such walls have typically only a single layer of vertical rebars and are therefore particularly susceptible to out-of-plane failure. To investigate the response of the corresponding wall boundary elements, twelve reinforced concrete columns with a single layer of vertical rebars were tested under tension-compression cycles. The objective of this test series was to gain insights into parameters triggering wall instability and out-of-plane failure. The experimental tests investigate the effect of thickness, reinforcement ratio, and eccentricity of the longitudinal rebars with respect to the element axis. This paper summarises the results of the test campaign. The specimen response is analysed at the global and local level, and the influence of the crack pattern on the out-of-plane response of the column and the conditions leading to out-of-plane failure are described. Furthermore, the differences between members with a single layer of vertical rebars to members with two layers are discussed. The influence on the response of the parameters analysed in the experimental campaign is addressed, showing that section with small thickness and large reinforcement content are more prone to out-of-plane failures. Finally, the predictions of existing models are compared to the new experimental data. The entire data set is publically available.</p>
Grid-type transparent conductive thin films of carbon nanotubes as capacitive touch sensors
<p>This dataset contains the measurement data for figures (graphs) published in journal article:</p><p>Grid-type transparent conductive thin films of carbon nanotubes as capacitive touch sensors</p><p>by Ronja Valasma, Eva Bozo, Olli Pitkänen, Topias Järvinen, Aron Dombovari, Melinda Mohl, Gabriela Simone Lorite, Janos Kiss, Zoltan Konya and Krisztian Kordas</p><p>Published 11 May 2020 • © 2020 The Author(s). Published by IOP Publishing Ltd</p><p>Nanotechnology, Volume 31, Number 30</p><p>Citation: Ronja Valasma et al 2020 Nanotechnology 31 305303</p><p>DOI 10.1088/1361-6528/ab8590</p>
acanthodian and sarcopterygian thin sections
<p>mainly photos of thin sections</p>
Data for "Laser Nanostructured Metasurfaces in Nb Superconducting Thin Films"
<p>Dataset for the article entitled "Laser Nanostructured Metasurfaces in Nb Superconducting Thin Films", submitted to the journal Applied Surface Science.</p><p>Contains original experimental data:</p><p>- SEM images with EDS</p><p>- TEM images</p><p>- SQUID magnetic measurements</p>
Dataset for Popov, Strokov, and Surdyaev 2021: Black hole shadows against an optically thick, geometrically thin disk
<p>The datasets contain images of an optically thick, geometrically thin accretion disk distorted by the presence of a Kerr black hole (i.e., black hole shadows). The images are in a compressed text format (.gz) as well as in a graphic format. The training dataset comprises 2,301 images for various values of the disk's outer radius, the spin and sense of rotation of the black hole, and for different viewing angles (w.r.t. the equatorial plane where the disk resides). The test set contains 89 images with parameters which were randomly sampled from the same ranges as in the training set. For details, see the works associated with this record.</p>
Data Repository for Nanoscale magnetism and magnetic phase transitions in atomically thin CrSBr
<p><span>Data repository for: Nanoscale magnetism and magnetic phase transitions in atomically thin CrSBr</span></p> <p><span><span>This data repository contains the raw data as measured on the experimental setup, simulations, analysis scripts and plotting scripts to reproduce the plots shown in the manuscript’s figures.</span></span></p> <p><span><span>Code for plotting: Matlab R2021b<br>The raw data is either stored as MatLab structs (.mat) or accessible through the .json files.</span></span></p> <p><span><span>See ReadMe.txt for more information.</span></span></p>
Data supplement for "Drops on polymer brushes – advances in thin-film modelling of adaptive substrates"
<p>This dataset contains supplementary data for the following publication:</p> <p>Hartmann, S., Diekmann, J., Greve, D., and & Thiele, U.<br>Drops on polymer brushes – advances in thin-film modelling of adaptive substrates<br><span><em>Langmuir</em></span> <span>2024</span><span>, 40</span><span>, 8</span><span>, 4001–4021</span></p> <p>We provide the source files and data for figures 3-15.</p>
Flat thin films forward simulations (Complex fresnel rs and rp). Rough thin film of sio2, sweeped in thickness about 1micron (Intensity and raw rs and rp.) Both as measured with 0 to NA = 0.9 angles.
<p>This dataset is part of a project under the ATMOC consortium, involving case studies of various simple one-material layers and their optical properties, particularly focusing on their interaction with light in terms of reflectivity. It encompasses samples , studied by institutions like UT Twente, IMEC, and CEA. These samples include flat surfaces coated with materials like Si, Mo, Ru, Al, Ru, Ni, Mo, Nb, Pt, Ta, Cr, TiN, and and rough thermal SiO2 on Si wafers, with thicknesses ranging from a few nanometers to several micrometers, applied through processes like PVD deposition and thermal oxidation at high temperatures.</p> <p>The dataset leverages refractive index data from the online resource "refractiveindex.info" to simulate the optical properties of these layers. The reflection of light is primarily determined by the Fresnel reflection coefficient, with additional simulations for rough surfaces using JCMWave's Finite Element Method (FEM) to understand the effects of surface roughness on light reflection. Primary setup it represents is prototype of Coherent Fourier Scatterometry (typically used for critical parameters of grating reconstruction|).</p> <p>Data are stored in .mat and .csv formats, with MATLAB scripts for generating visualizations of the model results, such as pcolor plots of intensity reflections based on variables like cover thickness and k-axis normalization. Python examples are also provided for loading and visualizing the data. The datasets aim to offer a comprehensive understanding of the optical properties of these materials and structures, supporting the development of standards and models for optical measurements and applications. Additionally, the dataset includes references to further studies and methodologies, such as the T-matrix approach and the Fabry-Perot formula extension, indicating a scholarly foundation in optical physics and engineering research.</p>
Compressed raw videos for Directed droplet motion along thin fibers
<p>Compressed video of experiments to determine droplet velocities. The videos are at the same scale as the the videos in the supplemental material of the paper "Directed droplet motion along thin fibers". Specifically these videos follow the panels in SI Movie 1. Droplet positions, droplet spans and fiber angles are extracted from these videos. </p>
XPS measurements on long-term stability of organic radical thin films
<p>XPS raw data underlying Figures 1, 2, and 3 from the publication "Long-Term Degradation Mechanisms in Application-Implemented Radical Thin Films" (DOI: 10.1021/acsami.3c02057).</p>
DATASET OF "Evolutionary Pathways to Thin-Coated Seeds in Crops: Insights from Allometric Scaling" by Milla et al.
<table> <tbody> <tr> <td>This database is composed of four spreadsheets:</td> </tr> <tr> <td>data</td> <td>Unpublished data used in the manuscript. Data that was published earlier is not included to avoid duplicates, but reference to their source is given in the other two spreadsheets</td> </tr> <tr> <td>species_in_sources</td> <td>Key to the sources of data for the project, for each species, and each observation within species</td> </tr> <tr> <td>list_of_sources</td> <td>Key to sources plus full reference of each key</td> </tr> <tr> <td>list_accessions</td> <td>list of accessions identities for each crop and domestication status</td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>Meaning of colums in each spreadsheet</td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>data:</td> <td> </td> </tr> <tr> <td>id_data</td> <td>id of row in this spreadsheet</td> </tr> <tr> <td>id_sources</td> <td>id of row in the species_in_sources spreadsheet</td> </tr> <tr> <td>species</td> <td>Botanical name of the species</td> </tr> <tr> <td>family</td> <td>Family adscription of the species</td> </tr> <tr> <td>genus</td> <td>genus</td> </tr> <tr> <td>species_epith</td> <td>species epithet</td> </tr> <tr> <td>cultivar_subsp_type</td> <td>for domesticated genotypes, cultivar, subspecies, or type</td> </tr> <tr> <td>accesion_id</td> <td>accesion id from seedbanks</td> </tr> <tr> <td>crop</td> <td>for domesticated genotypes and their direct wild progenitors: common name of the crop</td> </tr> <tr> <td>dom_status_c_w</td> <td>whether an entry comes from a domesticated or a wild genotype or species</td> </tr> <tr> <td>dom_status_im_lr_wp_wnowp</td> <td>domestication status of the entry, either an improved cultivar of a crop (im), a landrace (lr), a wild progenitor (wp) or a wild species not closely related to any crop (wnowp)</td> </tr> <tr> <td>seed_mass_mg</td> <td>seed mass, in mg</td> </tr> <tr> <td>seed_coat_mass_mg</td> <td>seed coat mass, in mg</td> </tr> <tr> <td>kernel_mass_mg</td> <td>kernel mass, in mg</td> </tr> <tr> <td>key_to_source</td> <td>code to link with the references listed in the list_of_sources spreadsheet</td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>species_in_sources:</td> <td> </td> </tr> <tr> <td>id_sources</td> <td>see above for data spreadsheet</td> </tr> <tr> <td>species</td> <td>see above for data spreadsheet</td> </tr> <tr> <td>family</td> <td>see above for data spreadsheet</td> </tr> <tr> <td>genus</td> <td>see above for data spreadsheet</td> </tr> <tr> <td>species_epith</td> <td>see above for data spreadsheet</td> </tr> <tr> <td>cultivar_subsp_type</td> <td>see above for data spreadsheet</td> </tr> <tr> <td>accesion_id</td> <td>see above for data spreadsheet</td> </tr> <tr> <td>crop</td> <td>see above for data spreadsheet</td> </tr> <tr> <td>dom_status_c_w</td> <td>see above for data spreadsheet</td> </tr> <tr> <td>dom_status_im_lr_wp_wnowp</td> <td>see above for data spreadsheet</td> </tr> <tr> <td>key_to_source</td> <td>see above for data spreadsheet</td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>list_of_sources:</td> <td> </td> </tr> <tr> <td>key_to_source</td> <td>code to link with the references</td> </tr> <tr> <td>source</td> <td>full reference</td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>list_accessions:</td> <td>see "data" sheet</td> </tr> </tbody> </table>
Engineering of intrinsic chiral torques in magnetic thin films based on the Dzyaloshinskii-Moriya interaction
<p>Open data for <strong>Engineering of intrinsic chiral torques in magnetic thin films based on the Dzyaloshinskii-Moriya interaction</strong></p>
Cation non-stoichiometry in Fe:SrTiO3 thin films and its effect on the electrical conductivity
<p>This dataset contains raw data and figures used in the publication: <a href="https://doi.org/10.1039/D1NA00358E">https://doi.org/10.1039/D1NA00358E</a></p>
RAW data for Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique
<p>Raw data for the "Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique" paper.</p>
North Sea Core Thin Section Data pt 1
<p>Thin section scans of core samples from key North Sea lithologies, across the Southern, Central and Northern North Sea Basins. Please visit https://www.northseacore.co.uk/data for more information.</p> <p>The scanned images and supporting files can be viewed with the Olympus OlyVia Viewer software. This is third party software and requires the user to register. All thin sections have been scanned in Bright Field (BF), Plane (PPL) and Cross Polarised Light (XPL), and Cross Polarized Light with Luminesce (XPL+L). Full magnification is 10x.</p> <p>Part 1 of the data includes;</p> <ul> <li>15-14a-3 Triassic</li> <li>16-29a-2X Lower Cretaceous</li> <li>16-29a-2X Paleocene</li> <li>16-29a-A4 Upper Cretaceous</li> <li>21-16-3 Upper Jurassic</li> <li>21-20b-3 Eocene</li> <li>44-23-7 Upper Carboniferous</li> <li>47-15-1X Zechstein Permian</li> </ul>
North Sea Core Thin Section Data pt 2
<p>Thin section scans of core samples from key North Sea lithologies, across the Southern, Central and Northern North Sea Basins. Please visit https://www.northseacore.co.uk/data for more information.</p> <p>The scanned images and supporting files can be viewed with the Olympus OlyVia Viewer software. This is third party software and requires the user to register. All thin sections have been scanned in Bright Field (BF), Plane (PPL) and Cross Polarised Light (XPL), and Cross Polarized Light with Luminesce (XPL+L). Full magnification is 10x.</p> <p>Part 2 of the data includes;</p> <ul> <li>49-06a-4 Triassic</li> <li>49-11a-4 Rotliegend Permian</li> <li>211-08c-4Z Upper Jurassic</li> <li>211-16-4 Zechstein Permian</li> <li>211-23-A18 Middle Jurassic</li> <li>211-23-A38 Middle Jurassic</li> <li>211-23-W1Z Middle Jurassic</li> <li>211-23b-12 Middle Jurassic</li> <li>211-23d-18 Middle Jurassic</li> </ul>
Buy Handmade Double-Sided 3in1 Wide Thin Wool Scarf Online
<p>Buy <a href="https://invisibletouch.lt/product/new-green-double-sided-wide-3in1-thin-wool-scarf/">double-sided handmade 3in1 wide thin wool scarf.</a> Thin but wide so perfect for any time of the year and for any occasion. Special fastening allows scarf to wear in a variety of ways (as a cloak as a regular scarf, as a hood to protect your hair…) All scarves are different and unique. All come in limited stock, so be sure your scarf will be unique. Enjoy real comfort and care.</p>
Dataset for the paper: "Carbon Aerogel Based Thin Electrodes for Zero-Gap all Vanadium Redox Flow Batteries – Quantifying the Factors Leading to Optimum Performance"
<p>The data in this spreadsheet was used to produce the figures in the paper </p> <p>Andres Parra-Puerto, Javier Rubio-Garcia, Matthew Markiewicz, Zhuo Zheng and Anthony Kucernak</p> <p>Carbon Aerogel Based Thin Electrodes for Zero-Gap all Vanadium Redox Flow Batteries – Quantifying the Factors Leading to Optimum Performance </p> <p>DOI: https://doi.org/10.1002/celc.202101617 </p> <p>Please cite the above reference if you wish to use this data </p> <p>DOI of this data file is: 10.5281/zenodo.6261512</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.