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4,856 results for “sections”
SBC LTER: CTD cross-sections (top 120m) from UNOLS Cruises in the Santa Barbara Channel: LTER16, 2006-04-26 to 2006-05-03
The data described here were collected on LTER16 which took place from 2006-04-26 to 2006-05-03 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. Towed CTD package Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects.
A Missing Piece of the E-Region Puzzle: High-Resolution Photoionization Cross Sections and Solar Irradiances in Models
<p>Dataset corresponding to the associated publication, "A Missing Piece of the E-Region Puzzle: High-Resolution Photoionization Cross Sections and Solar Irradiances in Models." The dataset includes high-resolution photoionization and photoabsorption cross section for O and N<sub>2</sub> as well as high-resolution solar spectrum. Photoionization rates from model runs obtained from AURIC and the Meier photoionization code are also included. Please refer to the readme for information on the data structure.</p> <p><strong>***Please note that the paper is under review and has not been accepted yet.***</strong></p>
Mean current velocity sections along 11°S, 5°S, 35°W, and 23°W from shipboard measurements used in "Transports and pathways of the tropical AMOC return flow from Argo data and shipboard velocity measurements"
<p>This data set contains current velocity measurements used in the study "Transports and pathways of the tropical AMOC return flow from Argo data and shipboard velocity measurements“ by <em>Tuchen et al. (2022)</em> published at <em>Journal of Geophysical Research: Oceans</em>.</p> <p>For the meridional mean sections along 35°W and 23°W, and for the quasi-zonal sections along 11°S and 5°S, one ".mat" file is provided for each of the sections. Please note that the section along 11°S consists of a zonal part (east of 34.2°W) and a cross-shore part closer to the coast. The meridional velocities along the cross-shore part of the 11°S-section are rotated clockwise by 36° in order to derive along-shore velocities.</p> <ul> <li>11°S: meridional velocity / alongshore velocity (V), neutral density (gamma_n), longitude (LON), depth (Z)</li> <li>5°S: meridional velocity (V), neutral density (gamma_n), longitude (LON), depth (Z)</li> <li>35°W: zonal velocity (U), neutral density (gamma_n), latitude (LAT), depth (Z)</li> <li>23°W: zonal velocity (U), neutral density (gamma_n), latitude (LAT), depth (Z)</li> </ul> <p>Mean velocity data in the upper 10 m are replaced by the gridded mean surface current velocities at 1/4° horizontal resolution derived from satellite-tracked surface drifting buoys (<em>Laurindo et al. 2017</em>) that were horizontally interpolated to the resolution of the individual ship sections.</p>
Near-field images and cross-section of guided modes in a laser-inscribed double-tracks waveguide in TZN:Ag glass sample
<p><strong>Raw images were captured</strong> with a Thorlabs beam monitoring camera, while the waveguides were injected at 633 nm.<br> The fours cross-sections were computed from these raw images.<br> These files are new data from the co-authors among those presented in the review publication "Materials 2020, 13, 3846" (DOI: 10.3390/ma13173846.<br> <strong>Extracted, centered and scaled horizontal cross-sections are given in "Fig12-b-c_final.xlsx"</strong></p> <p>Sample name : TZN:Ag.</p> <p> </p>
S50 | CCSCOMPEND | The Unified Collision Cross Section (CCS) Compendium
<p>This is the collection associated with list S50 CCSCOMPEND on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>S50 CCSCOMPEND <strong>The Unified Collision Cross Section (CCS) Compendium</strong></p> <p>>3800 experimental collision cross section values (drift tube MS), provided by Jackie Picache and John McLean, Vanderbilt. Further details available here: <a href="https://lab.vanderbilt.edu/mclean-group/collision-cross-section-database/">https://lab.vanderbilt.edu/mclean-group/collision-cross-section-database/</a></p> <p>v0.1.1: removed char errors in InChIKey file. v0.1.2 (17 July 2022): added SMILES and separate substance deposition file, updated InChIKeys. SMILES were added via InChIKey in the CCS records (PubChem ID Exchange) then filling in gaps using PubChem Search to find the preferred tautomer; the substance deposition created from unique CIDs (via webchem), then the InChIKey file was created from this. v0.1.3 (19 July 2022): mapped to parents; substance deposition, SMILES, CIDs and annotations now based on parent form (not original salt form).</p>
S79 | UACCSCEC | Collision Cross Section (CCS) Library from UAntwerp
<p>This is the collection associated with list S79 UACCSCEC Collision Cross Section (CCS) Library from UAntwerp on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>A library containing the collision cross section (CCS) values of 311 adducts of 148 contaminants of emerging concern (CECs) and their metabolites measured with drift tube ion mobility high resolution mass spectrometry (in positive and negative ionization modes with N2 as drift gas) as described in Belova <em>et al.</em> (2021) DOI: <a href="https://pubs.acs.org/doi/10.1021/acs.analchem.1c00142">10.1021/acs.analchem.1c00142</a>.</p> <p>Changes: 27/04/2021 added new CIDs from deposition. 10/5/2021: added transformations table. 30/8/2022: corrected [M+H]+ for BDCIPP (CID <a href="https://pubchem.ncbi.nlm.nih.gov/compound/188119#section=Collision-Cross-Section">188119</a>) to 157.35 A^2 (from 178.72) upon request of the authors (see Belova <em>et al</em>. (2022) DOI: <a href="https://doi.org/10.1016/j.aca.2022.340361">10.1016/j.aca.2022.340361</a>).</p>
Cross-sectional images from x-ray computed tomography (XCT) of conserved archaeological samples
<p>The repository contains cross-sections of 83 wood samples derived from X-ray computed tomography (CT) data. The samples are a part of the LEIZA reference collection, which were created within the framework of the project "Mass Finds in Archaeological Collections", which was funded by the "Kulturstiftung des Bundes" and the "Kulturstiftung der Länder" from 15.04.2008 to 31.12.2011 as part of the "Program for the Conservation and Restoration of Mobile Cultural Property" (KUR, see www.rgzm.de/kur).</p> <p>Around 10 years later, during the CuTAWAY project (ConservaTion And Wod AnalYses), the wood samples were digitized using an in-house laboratory X-ray CT system (Diondo d2, Germany) at HSLU with a nominal voxel size between 27 and 44 μm in order to analyse the structure of the interior. You can download the cross-sectional images of the data here. The 3D data acquisition was carried out during November 2019 - April 2021.</p> <p>The CuTAWAY project was funded by the German Research Association (DFG) and the Swiss National Science Foundation (SNSF) from 2019 to 2023 (CuTAWAY - Conservation and Wood Analyses, DFG - 416877131 and SNSF - 200021E_183684).</p>
MUSE HUDF survey I, Section 4: data and reproduction pipeline for photometry and astrometry
<p>Necessary data and <a href="http://akhlaghi.org/reproducible-science.html">Reproduction pipeline</a> for <a href="https://www.aanda.org/articles/aa/full_html/2017/12/aa30833-17/aa30833-17.html#S14">Section 4</a> of "<em>The MUSE Hubble Ultra Deep Field Survey: I. Survey description, data reduction and source detection</em>", Bacon et al. (2017), <a href="https://www.aanda.org/articles/aa/abs/2017/12/aa30833-17/aa30833-17.html">Astronomy & Astrophysics, 608, A1</a>. The purpose of this section in the paper is to show the photometric and astrometric precision of the processed <a href="http://muse-vlt.eu/science/">MUSE</a> 3D data cubes discussed in the paper (pseudo-broad-band images created from the cubes) in comparison with broad-band images of the Hubble Space Telescope (HST).</p> <p>This repository on Zenodo contains all the necessary input data, software and <a href="http://akhlaghi.org/reproducible-science.html">reproduction pipeline</a> (containing the scripts, configuration files and settings to exactly reproduce the results in Section 4 of the paper). Below is a description of the contents:</p> <ul> <li> <p><a href="https://zenodo.org/record/1163746/files/gnuastro-0.2.51-bc56.tar.gz"><code>gnuastro-0.2.51-bc56.tar.gz</code></a>: The version of <a href="https://www.gnu.org/software/gnuastro">GNU Astronomy Utilities</a> (Gnuastro) that is necessary for this pipeline. Gnuastro is a large collection of programs for astronomical data analysis on the command-line (and in scripts). Note that the reproduction pipeline <em>only</em> works with Gnuastro version 0.2.51, it will complain and abort if another version is installed.</p> <p>IMPORTANT NOTE: Since version 0.2.51 of Gnuastro was released, CFITSIO (one of Gnuastro's dependencies) has added a dependency for the cURL library (to read https URLs). Therefore, to install Gnuastro 0.2.51, please install <a href="https://heasarc.gsfc.nasa.gov/FTP/software/fitsio/c/cfitsio3410.tar.gz">CFITSIO version 3.41</a> or earlier.</p> </li> <li> <p><a href="https://zenodo.org/record/1163746/files/gnuastro-dependencies.tar.gz"><code>gnuastro-dependencies.tar.gz</code></a>: Software libraries necessary to build Gnuastro as it is used here. With these, a working C compiler is enough (currently only tested in a GNU/Linux environment) to exactly reproduce the results (tables).</p> </li> <li> <p><a href="https://zenodo.org/record/1163746/files/hst-acs-images.tar.gz"><code>hst-acs-images.tar.gz</code></a>: Necessary images from HST's <a href="https://archive.stsci.edu/prepds/xdf/">eXtreme Deep Field</a> survey <a href="https://archive.stsci.edu/pub/hlsp/xdf">archives</a>. These images are not necessary to run the reproduction pipeline (they will be downloaded from the HST archives if not present). They are stored here for the self-sufficiency of this repository and faster download: in this lossless compressed format, they are roughly 1/3rd the volume of the same files in HST archives.</p> </li> <li> <p><a href="https://zenodo.org/record/1163746/files/hst-acs-throughputs.tar.gz"><code>hst-acs-throughputs.tar.gz</code></a>: The throughputs of HST Advanced Camera for Surveys (ACS) filters necessary in this study. These are also available from the <a href="http://www.stsci.edu/hst/acs/analysis/throughputs/tables">HST archives</a> and are kept here with similar reasons to above.</p> </li> <li> <p><a href="https://zenodo.org/record/1163746/files/muse-pseudo-broadband-images.tar.gz"><code>muse-pseudo-broadband-images.tar.gz</code></a>: Pseudo-broad-band images generated from the MUSE 3D data cube. These images are only released in this repository. However, to run the reproduction pipeline, it isn't necessary to download them directly from here. The script will download them from Zenodo automatically.</p> </li> <li> <p><a href="https://zenodo.org/record/1163746/files/reproduce-v1-4-gaafdb04.tar.gz"><code>reproduce-v1-4-gaafdb04.tar.gz</code></a>: The <a href="http://akhlaghi.org/reproducible-science.html">reproduction pipeline</a> (version 1-4-gaafdb04) that produces the results (tables) plotted in the paper. The full Git version controlled history of this repository is available on <a href="https://git-cral.univ-lyon1.fr/mohammad.akhlaghi/muse-udf-photometry-astrometry">git-cral.univ-lyon1.fr</a> or <a href="https://gitlab.com/makhlaghi/muse-udf-photometry-astrometry">gitlab.com</a>. We recommend cloning from the Git repository if it is available. This tarball is kept here in case those servers don't work or Git is no longer in common use. Please see the <code>README</code> file in this repository for instructions on how to run the reproduction pipeline and exactly reproduce the results. This pipeline will download all the necessary data if they aren't already present on the system (it is probably just necessary to install the required version of Gnuastro).</p> </li> </ul> <p>The Creative Commons Attribution-NonCommercial 4.0 copyright mentioned in the Zenodo webpage is only applicable to files that don't have an explicit copyright within them. The copyright of other files (mainly scripts and software) is mentioned within them (all are <a href="https://www.gnu.org/licenses/licenses.en.html">free licenses</a>).</p> <p>For any issues with the pipeline/processing, please contact <a href="http://akhlaghi.org">Mohammad Akhlaghi</a>.</p>
REASSURE (H2020 731591) Datasets AES128 for Understanding Leakage Detection - Section 2
<p>Datasets collection for the Section 2 of "Understanding Leakage Detection" tutorial (presented also at CARDIS 2018). These datasets have been collected adopting the ChipWhisperer Lite board, running the popular AES Furious implementation. The code and the additional material of the tutorial can be found at http://reassure.eu/leakage-detection-tutorial/.</p> <p> </p>
Exploring the Impact of Physiotherapy on Health Outcomes in Elderly Patients with Chronic Diseases: A Cross-Sectional Analysis
<p>In this cross-sectional analysis, we investigate the transformative impact of physiotherapy on health outcomes among elderly patients grappling with chronic diseases. Physiotherapy emerges as a pivotal intervention, offering multifaceted benefits that extend beyond mere symptom management. Through tailored exercises, mobility enhancements, and targeted pain management strategies, physiotherapy not only mitigates physical limitations but also fosters greater independence and quality of life. By examining a diverse cohort of elderly individuals diagnosed with chronic conditions such as osteoarthritis and cardiovascular diseases, this study underscores the profound role of physiotherapy in promoting functional mobility, reducing healthcare burdens, and enhancing overall well-being among this vulnerable population."</p>
Graphic Illustration of Talks in our Digital Collections Data and Tracking Disease Workshop Section: Case Studies
<p>Karina Branson of <a href="https://www.conversketch.com/" target="_blank" rel="noopener">ConverSketch</a>, graphically recorded and helped to facilitate this Case Studies section of our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Talks in our Digital Collections Data and Tracking Disease Workshop Section: Museum Perspectives
<p>Karina Branson of <a href="https://www.conversketch.com/" target="_blank" rel="noopener">ConverSketch</a>, graphically recorded and helped to facilitate this Museum Perspectives section of our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Barmur Group Cross Section High Quality
<p>Virtual outcrop model and structural interpretation. (<strong>a</strong>) Bárðarson’s (1925) original coastal section featuring the 25 marine horizons (beds 1 – 25) and 10 terrestrial horizons (beds A – J). (<strong>b</strong>) The modern analogue to Bárðarson’s coastal section created using the virtual outcrop model. The 24 key horizons used in the creation of the coastal cross-section are highlighted in this panel. F1 – F31, faults featured in the fitting the modelled stratigraphy to the virtual outcrop model. Exposure used in quantifying model fit are highlighted, orange lines represent the back projection of cross-section stratigraphy onto the virtual outcrop model used in assessing fit. (<strong>c</strong>) the coastal cross-section constructed using Petroleum Expert's MOVE software using the stratigraphical classifications of Eiríksson & Símonarson (2021).</p> <p>Also given are the Agisoft Metashape batch processing files used in the generation of the virtual outcrop model. </p>
Database of Residual Stress Measurements on Hot-rolled Wide Flange Steel Cross Sections
<p><a href="https://zenodo.org/deposit/7677600#:~:text=Delete-,Data_info.csv,-md5%3A98a0f787ce2ea1b81d42ac898f6bb110">Data_info.csv</a>: Database of 'Residual Stress Measurements on Hot-rolled Wide Flange Steel Cross Sections' including cross-sectional and material characteristics as well as information relevant to ploting the residual stress distributions.</p> <p><a href="https://zenodo.org/deposit/7677600#:~:text=7%20kB-,Distributions.zip,-md5%3Af7f66a9ad607f27edde3dc7438b82ad2">Distributions.zip</a>: Residual stress distributions for the web and the flanges. To be unziped and positioned at the same location with the 'Data_info.csv', 'Processor.m' and 'QP_Coefficients' folder.</p> <p><a href="https://zenodo.org/deposit/7677600#:~:text=197%20kB-,Processor.m,-md5%3A29935e24d40cbd4398d260124ec71fa8">Processor.m</a>: MATLAB code that plots the residual stress distributions of a selected research work.</p> <p><a href="https://zenodo.org/deposit/7677600#:~:text=16%20kB-,QP_Coefficients.zip,-md5%3Aafd1a8771cf39c9c6584331d10030d96">QP_Coefficients.zip</a>: Coefficients of a proposed optimization method to fit the measured residual stresses in the web and the flanges. To be unziped and positioned at the same location with the 'Data_info.csv', 'Processor.m' and 'Distributions' folder.</p>
STAR2D simulation and Hydrogen photodissociation cross sections dataset
<p>This dataset consists of two tables: extreme ultraviolet (XUV) and vacuum ultraviolet (VUV) emission spectra from a laser produced, 1 micron wavelength plasma. The emission spectra was calculated from STAR-2D simulation results. </p><p>The data consists of wavelength-dependent spectra at varying drive laser intensities from 1E11 to 1E9 W/cm2. More information on the STAR-2D code can be cited here: A. Sunahara, A. Sasaki, and K. Nishihara, J. Phys.: Conf. Ser. 112, 042048 (2008). </p><p>The second dataset consists of hydrogen photodissociation and photoionization cross section data from Heays et al: A. N. Heays, A. D. Bosman, and E. F. van Dishoeck, Astronomy &Astrophysics 602, A105 (2017).</p>
Measurement of 139La(p,x) cross sections from 35-60 MeV by stacked-target activation
<p>This repository contains all raw gamma-ray spectra analyzed for the present manuscript, as well as calibration spectra. Further details and analysis code are available on reasonable request. </p> <p>A stacked-target of natural lanthanum foils (99.9119% 139La) was irradiated using a 60 MeV proton beam at the LBNL 88-Inch Cyclotron. 139La(p,x) cross sections are reported between 35–60 MeV for nine product radionuclides. The primary motivation for this measurement was the need to quantify the production of 134Ce. As a positron-emitting analogue of the promising medical radionuclide 225Ac, 134Ce is desirable for in vivo applications of bio-distribution assays for this emerging radio-pharmaceutical. The results of this measurement were compared to the nuclear model codes TALYS, EMPIRE and ALICE (using default parameters), which showed significant deviation from the measured values.</p>
MiRoR7-P1- Disagreements in risk of bias assessment for randomised controlled trials included in more than one Cochrane systematic reviews: a research on research study using cross-sectional design
<p>dataset referring to </p> <p><strong>Disagreements in risk of bias assessment for randomised controlled trials included in more than one Cochrane systematic reviews: a research on research study using cross-sectional design</strong></p> <p> </p> <p> </p> <p>Lorenzo Bertizzolo<sup>1</sup>, Patrick M Bossuyt<sup>2</sup>, Ignacio Atal<sup>1, 5</sup>, Philippe Ravaud<sup>1, 3-6</sup>, Agnès Dechartres<sup>7</sup></p> <p> </p> <p><sup>1</sup> INSERM, U1153 Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (CRESS), Methods of therapeutic evaluation of chronic diseases Team (METHODS), Paris, F-75004 France; Paris Descartes University, Sorbonne Paris Cité, France.</p> <p><sup>2</sup> Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Netherlands.</p> <p><sup>3</sup> Centre d’Épidémiologie Clinique, Hôpital Hôtel Dieu, AP-HP (Assistance Publique des Hôpitaux de Paris), Paris, France.</p> <p><sup>4</sup> Faculté de Médecine, Université Paris Descartes, Sorbonne Paris Cité, Paris, France.</p> <p><sup>5</sup> Cochrane France, Paris, France</p> <p><sup>6</sup> Columbia University, Mailman School of Public Health, Department of Epidemiology, New York, USA</p> <p><sup>7</sup> Sorbonne Université, INSERM, Institut Pierre Louis de Santé Publique, Département Biostatistique, Santé Publique et Information Médicale, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière – Charles Foix, Paris, France</p>
Data_text section_ 11βHSD1_11β-Hydroxysteroid dehydrogenases control access of 7β,27-dihydroxycholesterol to retinoid-related orphan receptor γ
<p>Data from kinetic characterization (Km and vmaxapp) described in text section 3.1 of 11β-Hydroxysteroid dehydrogenases control access of 7β,27-dihydroxycholesterol to retinoid-related orphan receptor γ</p> <p>Dataset (doi:10.1194/jlr.M092908) contains values from kinetic characterization (Km and vmaxapp) described in text section (Kinetic values_11βHSD1.PNG) corresponding to raw data obtained from LC-MS/MS analysis provided as three files in CSV format (31003A-179400_DATE_KB_27Oxysterol_4_6_1-3). All further experiment related information and subsequent data analysis provided as two meta-data-files (31003A-179400_DATE_KB_27Oxysterol_4_6_M_1-2) as TXT format and PDF format.</p>
Three-dimensional arrangement of human bone marrow microvessels revealed by immunohistology in undecalcified sections - volume filtering verification
<p>For each of the four ROIs (R1 to R4 in file names) we pick few sub-regions (annotated in R?_legend.png) and show the changes between sections (temporally encoded) from initial (registered) input, marked "1" in video to the final result of volume filtering, marked "5" in video.</p> <p>Subregion number j in ROI number i is bears the video file name "R<i>_verification_volume_-_region_<j>_FullHD.mov".</p>
Three-dimensional arrangement of human bone marrow microvessels revealed by immunohistology in undecalcified sections - registered sections (input data)
<p>These are the 3500x3500 ROI data, selected from complete scans.</p> <p>Following procedure was applied:</p> <p>- Coarse registration (Ulrich et al, 2014)<br> - ROI selection, 4k x 4k regions<br> - Normalisation<br> - Fine-grain registration (Lobachev et al, 2016)<br> - Crop to the center to obtain 3500x3500 size.</p> <p>We estimated the slice thickness to be 7 µm.</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.