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717 results for “Manufactures”

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zenodo32/100

PS+ VIP_up-scaling manufacturing technology flowchart

<p>PS+ VIP_up-scaling manufacturing technology flowchart</p>

opencc-by-4.0Apr 2022View details →
zenodo32/100

PS+ STM_up-scaling manufacturing technology flowchart

<p>PS+ STM_up-scaling manufacturing technology flowchart</p>

opencc-by-4.0Apr 2022View details →
zenodo32/100

Postural stability metrics associated to the publication: Additive manufacturing of spinal braces: evaluation of production process and postural stability in patients with scoliosis

<p>Data was collected for each condition (3D-printed brace, conventional brace, unbraced) for 60 seconds with patients in a standing posture, open eyes and both feet together.</p>

opencc-by-4.0Jul 2022View details →
zenodo32/100

Globalization, Manufacturing, Regional Inequality, and Preferences for Redistribution: A Case Study of Ontario, Canada

<p>The merged data set of Statistics Canada census data and Elections Ontario election results by city in Ontario, Canada from 2000-2018.</p>

opencc-by-4.0Aug 2022View details →
zenodo32/100

Results of the experiments within the Discrete Manufacturing Simulation Environment

<p>This dataset is a MySQL file and contains the&nbsp;Results of the experiments within the Discrete Manufacturing Simulation Environment.<br> <br> &nbsp;</p> <p>How do you use the files?<br> You need a MySQL instance on your computer (e.g. via XAMPP). If you do not already have one, create a database there with the name: &quot;rlskipping&quot;. The command for this is:&nbsp;</p> <blockquote> <p>CREATE DATABASE IF NOT EXISTS&nbsp;rlskipping;</p> </blockquote> <p>On Windows:</p> <p>&nbsp;&nbsp; &nbsp;1) Open a new CMD-Shell.<br> &nbsp;&nbsp; &nbsp;2) Navigate to the path where the sql file is located.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(e.g.: cd C:\Users\MrScience\Desktop\Work\myProject\Paper\SQL)<br> &nbsp;&nbsp; &nbsp;3) Import the Files.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(e.g.: mysql -u root -p rlskipping &lt; evaluierung.sql)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(e.g.: mysql -u root -p rlskipping &lt; calculatedsamples.sql)</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

In-depth Analysis: Vitrified Tiles Manufacturing Plant Project Report 2024

<p><span><a href="https://www.imarcgroup.com/vitrified-tiles-manufacturing-plant-project-report"><strong>Vitrified tiles manufacturing plant</strong></a> report covers various aspects, ranging from a broad market overview to intricate details like unit operations, raw material and utility requirements, infrastructure necessities, machinery requirements.</span></p>

opencc-by-4.0May 2024View details →
zenodo32/100

Data for substantial increase in China's manufactured sand supply since 2010

<p>This datasets give the source data for Figure 1 and Figure 2 of the main text, and the detailed datasources of MFA results.</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Manufacturing of the highly active thermophile PETases PHL7 and PHL7mut3 using Escherichia coli - Dataset

Open the record for dataset details and reuse information.

opencc-by-4.0Jun 2024View details →
zenodo32/100

Characteristics and Processing of Hydrogen Treated Copper Powders for EB-PBF Additive Manufacturing

<p>Supplemental videos for article titled &quot;Characteristics and Processing of Hydrogen Treated Copper Powders for EB-PBF Additive Manufacturing&quot; in Applied Sciences</p>

opencc-by-4.0Aug 2019View details →
zenodo32/100

Nondestructive Fatigue Life Prediction for Additively Manufactured Metal Parts through a Multimodal Transfer Learning Framework

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo32/100

AHP-Based Supplier Selection Framework for Recycled Polypropylene Resin in Sustainable Manufacturing

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo32/100

Experimental data used in the article entitled "Tuning the defects density in additively manufactured fcc aluminium alloy via modifying the cellular structure and post-processing deformation"

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo32/100

Experimental data used in the article entitled "Electron Microscopy Study of Structural Defects Formed in Additively Manufactured AlSi10Mg Alloy Processed by Equal Channel Angular Pressing"

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo32/100

Data and analysis for the paper Qubits made by advanced semiconductor manufacturing

<p>Data and analysis scripts for the paper:</p> <p>Qubits made by advanced semiconductor manufacturing</p> <p>by A.M.J. Zwerver,<em>&nbsp;et al.</em></p>

opencc-by-4.0Aug 2021View details →
zenodo32/100

Ptychotomography datasets of an ultrafine eutectic Ti-Fe-based alloy processed by additive manufacturing

<p>The development of metals tailored to the metallurgical conditions of laser-based additive manufacturing is crucial to advance the maturity of these materials for their use in structural applications. While efforts in this regard are being carried out around the globe, the use of high strength eutectic alloys have, so far, received minor attention, although previous works showed that rapid solidification techniques can result in ultrafine microstructures with excellent mechanical performance, albeit for small sample sizes. In the present work, a eutectic Ti-32.5Fe alloy has been produced by laser powder bed fusion aiming at exploiting rapid solidification and the capability to produce bulk ultrafine microstructures provided by this processing technique.</p> <p>The uploaded datasets are a raw dataset of the 3D microstructure of the&nbsp;eutectic Ti-32.5Fe alloy acquired by ptychotomography at the beamline ID16A of the ESRF in Grenoble, France and a corresponding binary dataset for the bright Ti-Fe phase.</p> <p>The datasets have a dimension of 1173 x 1182 x 1356 px&sup3; with a voxel-size of (10 nm)&sup3;.</p> <p>raw dataset: &quot;RAW_10nm_ptycho_1173x1182x1356.tif&quot;</p> <p>binary dataset of the Ti-Fe phase: &quot;TIFE_BINARY_10nm_ptycho_1173x1182x1356.tif&quot;</p> <p>more details can be found in J. Gussone, K. Bugelnig and P. Barriobero-Vila et al. / Applied Materials Today 20 (2020) 100767. https://doi.org/10.1016/j.apmt.2020.100767<br> &nbsp;</p>

opencc-by-nc-4.0Feb 2023View details →
zenodo32/100

Supplementary Information for "Evolution upon leather manufacturing: comparison of the two Halobacterium salinarum strains isolated in the early 20-th century with the twin laboratory strains NRC-1 and R1"

<p>This set of files contains Supplementary Data associated with the emerging manuscript &quot;Evolution upon leather manufacturing: comparison of the two <em>Halobacterium salinarum</em> strains isolated in the early 20-th century&nbsp;with the twin laboratory strains NRC-1 and R1.&quot; by Friedhelm Pfeiffer and Mike Dyall-Smith.</p> <p>The manuscript provides a detailed comparison of the complete genome sequences from four strains of <em>Halobacterium salinarum</em>:<br> 91-R6 (NRC 34002, the type strain of <em>Halobacterium salinarum</em>);<br> 63-R2 (NRC 34001, a strain originally reported as &#39;cutirubra&#39;);<br> NRC-1 and R1 (two laboratory strains).</p> <p>&ldquo;Supplementary Methods&rdquo; extends the Methods section of the manuscript, providing additional detail.</p> <p>&ldquo;Supplementary Text S1&rdquo; provides additional detail for the comparison of the chromosome from strain 63-R2 to those from strains NRC-1 and R1.</p> <p>&ldquo;Supplementary Text S2&rdquo; provides additional details for the comparison of the chromosomes from strains 63-R2 and 91-R6.</p> <p>&ldquo;Supplementary Text S3&rdquo; provides additional detail for the comparison of the plasmids from strain 63-R2 to those from strains NRC-1 and R1.</p> <p>&nbsp;</p> <p>&ldquo;Supplementary Table S4&rdquo; correlates positions from &ldquo;core&rdquo; sequences (devoid of strain-specific mobile genetic elements) to the original genome sequences.</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Mechanical properties on Metal Additive manufacturing

<p><strong>Mechanical properties on Metal Additive manufacturing</strong></p> <p><strong>Abstract</strong></p> <p>This dataset contains the results on the experimental procedure to gather data on the manufacturing of Additive Manufacturing (AM) pieces for Laser Metal Deposition (LMD) processes.To create this dataset, a set of 37 pieces were manufactured using the same material and procedure but different manufacturing parameters and strategies. The process was monitored and recorded, capturing thermal images and sensor readings on each point of the manufacturing. Each one of the pieces was divided in 4 coupons, that were tested to obtain mechanical properties of resistance and hardness.</p> <p>&nbsp;</p> <p><strong>Contents</strong></p> <p>This dataset contains data related to 37 coupons (named T1 - T37), including the monitoring data gathered during manufacturing, the process parameters, results of tensile testing, results of hardness testing and pictures of the coupons.</p> <p>The dataset is structured as follows:</p> <ul> <li>[Piece ID] <ul> <li>Hdf5 file</li> <li>Piece picture</li> <li>Piece crosssection</li> </ul> </li> <li>Testing <ul> <li>Parameters.csv: tabular data with process parameters and piece measurements as a direct result of the manufacturing</li> <li>Coupons.csv: tabular data with tensile and hardness metrics on the tested coupons for each piece</li> </ul> </li> <li>README: explicative document</li> </ul> <p>&nbsp;</p> <p><strong>Formats</strong></p> <p>The data is provided in the following formats:</p> <ol> <li>Monitoring: HDF5 file format. This format allows the recording of multimodal manufacturing data.</li> <li>Pictures: jpg format</li> <li>Parameters: csv file containing process parameters</li> <li>Coupons: csv file with the material testing results.</li> </ol> <p>More information on the contents and formats of the dataset is contained in the attached README document.</p> <p>&nbsp;</p> <p><strong>Acknowledgments</strong></p> <p>This work has been funded under the &quot;Red de Excelencia en Fabricaci&oacute;n Aditiva&quot; (READI) with the support of the Spanish Ministry of Science and Innovation and the Centre for the Development of Industrial Technology (CDTI), under the program Cervera (CER-20191020).</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

PBF-LB/M Ti6Al4V micrographs and labeled manufacturing defects

<p><strong>Desciption:</strong></p> <p>This dataset contains 775 micrographs of laser additive manufactured Ti6Al4V. Further the dataset contains 1200 labeled binary images of defects classified in lack of fusion (400), keyhole (400) and process pores (400). Additional local extracted features are added as csv File.</p> <p>To all of the 757 micrographs are the process parameter combinations included, also for those which couldn&acute;t be built.</p> <p>The process parameters were created randomly and equally distributed in between limits. The layer thicknesses included are 25 &micro;m, 50 &micro;m, 75 &micro;m and 100 &micro;m. Further the laser power, the hatch distance and the scan speed were changed. The build platform temperature was set to 200 &deg;C.</p> <p>All specimens were printed an a SLM 125 HL by SLM Solutions with CL 41 Ti ELI powder by Concept Laser.</p> <p>&nbsp;</p> <p><strong>Author Contributions: </strong>Conceptualisation S.M., M.L.A., L.M., A.T.; methodology for (randomised) test series: M.L.A., L.M., S.M.; data creation, printing and imaging: L.M., S.M., T.B.; defect data labeling: M.L.A., T.B.; defect feature extraction: M.L.A.; supervision: A.T.; funding acqusition : A.T.</p> <p><strong>Funding: </strong>This work is funded by the University of Bremen Research Alliance (UBRA) AI Center for Healthcare within the project ENABLE.</p>

opencc-by-4.0Aug 2023View details →
ClinicalTrials.gov32/100

Bioequivalence (BE) Study Comparing Fluconazole 150mg Capsule Manufactured in China and in France

ClinicalTrials.gov study NCT03621072. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

A Clinical Study of Freshly Manufactured 35kDa Hyaluronan Fragment in the Treatment of Pain

ClinicalTrials.gov study NCT05756595. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.