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717
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ShareScore release 0.9.0
Dataset results
717 results for “Manufactures”
Kellogg Biological Station site, station Kent County, MI (FIPS 26081), study of population employed in manufacturing (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Ottawa County, MI (FIPS 26139), study of population employed in manufacturing (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station St. Joseph County, MI (FIPS 26149), study of population employed in manufacturing (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Van Buren County, MI (FIPS 26159), study of population employed in manufacturing (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.
California Current Ecosystem site, station Los Angeles County, CA (FIPS 6037), study of population employed in manufacturing (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from California Current Ecosystem (CCE) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.
California Current Ecosystem site, station Orange County, CA (FIPS 6059), study of population employed in manufacturing (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from California Current Ecosystem (CCE) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.
California Current Ecosystem site, station San Diego County, CA (FIPS 6073), study of population employed in manufacturing (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from California Current Ecosystem (CCE) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.
California Current Ecosystem site, station Ventura County, CA (FIPS 6111), study of population employed in manufacturing (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from California Current Ecosystem (CCE) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Strong Scaling Tools 2 Additive manufacturing case study
<p>All data, results, and scripts from the Al-Si-Sc additive manufacturing alloy design high-throughput case study.</p> <p>All data, results, and scripts from Al-Zn-Mg-Cu high-throughput case study.</p> <p><strong>*.zip</strong> are the specimen-specific PARAPROBE results and POS rawdata.</p> <p><strong>*.pdf</strong> are the PDF reports that were created with the automation of paraprobe-autoreporter.</p> <p><strong>src.zip</strong> contains the source code of the paraprobe-autoreporter Python classes with which the results were computed. This source code is meant as a documentation of the results only!<br> <strong>Instead, all users should always use the latest versions of the PARAPROBE tools from the GitLab repository https://gitlab.mpcdf.mpg.de/mpie-aptfim-toolbox</strong>/<strong>paraprobe</strong><br> <strong>https://paraprobe-toolbox.readthedocs.org</strong></p>
A Bibliography on Self-Organization in Manufacturing Systems
<p>Bibliographic Review on Self-Organization in Manufacturing Systems</p> <p>Content:</p> <ul> <li><code>README.md</code> (main documentation)</li> <li><code>pipeline.png</code> (processing pipeline from bibliographic sources to results and figures)</li> <li><code>script/</code> (JS files for data transformation and N3, to use with Linked-Data-Fu, for data collection)</li> <li><code>data/</code> (intermediary RDF files including bibliographic data and citation networks)</li> <li><code>query/</code> (SPARQL query files to process intermediary RDF files)</li> <li><code>result/</code> (TSV and image files as the main result of the bibliographic review)</li> </ul>
A Novel Flow Shop Batch Scheduling Model for Subtractive Processing in Electronic Product Manufacturing
<p>The data is randomly generated based on real manufacturing enviroment. The data is used to evaluate the performance of algorithms proposed in our research.</p>
CiP Discrete Manufacturing Dataset (Cylinder bottom (SAW))
<p>Dataset recorded in the process learning factory CiP at the Institute for Production Management, Technology and Machine Tools, TU Darmstadt for the purpose of demonstrating and testing InterQ developed solutions. It was used to demonstrate the framework's effectiveness in a case study involving process monitoring of a real-world Computer Numerical Control milling process. The dataset includes accelerometer data and multiple types of realistic concept drifts.</p>
MALDI-TOF-MS spectra of archaeological bone associated with fishhook manufacture from Moloka'i, Hawai'i, for ZooMS (Zooarchaeology by Mass Spectrometry)
<p>MALDI-TOF-MS spectra for archaeological bone fragments associated with fishhook manufacture from Moloka'i, Hawai'i. All spectra are uploaded in .mzml format. </p>
Original research data for the paper "Additive Manufacturing of Polymeric Gradient Index Optics via Grayscale Digital Light Processing Vat Photopolymerization Technology"
<p>[CMOS camera data]</p> <p>[conversion maps]</p> <p>[cure kinetics]</p> <p>[GRIN profiles arbitrary]</p> <p>[MonoPrinter grayscale power density]</p> <p>[MonoPrinter print files]</p> <p>[pictures of arbitrary GRINs]</p> <p>[predicted printing param matrices]</p> <p>[refractive index vs conversion]</p> <p>[working curve]</p>
Flexible Automation and Intelligent Manufacturing 2024, Taiwan - Optimization of Thermal Induction Welding Parameters in LPBFM for Enhanced Adhesion Control
<p>Laser powder bed fusion of metals (LPBFM) is an additive manufacturing process in which powdered alloy is selectively fused together to form near net shape parts. A method for qualifying a model to optimize thermal conduction welding parameters to omit lack of fusion defects is proposed. The approach takes into account: material, geometry and previously experimentally derived, robust process parameters.</p> <p><br>It entails carrying out specific experiments to generate data for calibration and validation of the model for fine-tuning of process parameters to compensate for the changing boundary conditions throughout the build. The objective is to achieve defined adhesion criteria for the meltpools of each laser scan vector.</p> <p><br>The method transforms the build job preparation of LPBFM into an optimization problem by determining the required precision and defining requirements for the model approach to be applicable on the shopfloor. The work contributes to a model-based quality assurance of LPBFM technology.</p>
Strategic Game Theory Analysis of Digitalization in Raw Materials Manufacturing: A Case Study of China and Implications for Public Policy
Open the record for dataset details and reuse information.
Evaluating the potential of Digital Twin technology on pharmaceutical manufacturing efficiency in Ireland: An in-depth analysis of Machinery Validation
<p>The dissertation titled <strong>"Evaluating the Potential of Digital Twin Technology on Pharmaceutical Manufacturing Efficiency in Ireland: An In-depth Analysis of Machinery Validation"</strong> explores the transformative impact of Digital Twin (DT) technology within Ireland's pharmaceutical manufacturing sector. Conducted by MSc candidate Gayathri Gopakumar at Griffith College Dublin, the research focuses on how DT technology can enhance machinery validation processes, thereby improving operational efficiency and ensuring regulatory compliance.</p> <p>Employing a qualitative research methodology, the study includes semi-structured interviews with industry experts to gather insights into the current awareness, perceived benefits, and challenges associated with DT adoption in the pharmaceutical industry. The research aims to provide a comprehensive understanding of DT technology's role in machinery validation and its broader implications for manufacturing efficiency.</p> <p>This work contributes to the existing body of knowledge by offering a detailed analysis of DT technology's potential applications in pharmaceutical manufacturing, with a specific focus on the Irish context. It serves as a valuable resource for professionals and researchers interested in the integration of advanced digital technologies in the pharmaceutical sector.</p>
Dataset for "The effect of the unique microstructure of additively manufactured Fe-Mn-Si-Cr shape memory alloys on recovery stress"
<p>The uploaded dataset contains all relevant primary data for the publication titled "The effect of the unique microstructure of additively manufactured Fe-Mn-Si-Cr shape memory alloys on recovery stress". </p> <p>The data is structured in subfolders:</p> <p>01_Recovery stress:</p> <p>Primary data of thermo-mechanical experiments including force, strain and temperature measurements and a data description file.</p> <p>02_Micrographs:</p> <p>Image files of etched and unetched sample cross-sections of additively manufactured samples with different Mn content.</p> <p>03_EBSD:</p> <p>OIM files of electron backscatter diffraction measurements for all samples. </p> <p>04_Chemical analysis</p> <p>Analysis report of externally perfomed chemical analysis of the used metal powders and the resulting additively manufactured parts.</p> <p> </p> <p>For further information see the publication as soon as published.</p> <p> </p>
Dataset for: Tomographic Volumetric Additive Manufacturing of Silicon Oxycarbide Ceramics
<p>Ceramics are highly technical materials with properties of interest for multiple industries. Precisely because of their high chemical, thermal, and mechanical resistance, ceramics are difficult to mold into complex shapes. A possibility to make convoluted ceramic parts is to use preceramic polymers (PCP) in liquid form. The PCP resin is first solidified in a desired geometry and then transformed into ceramic compounds through a pyrolysis step that preserves the shape. Light-based additive manufacturing (AM) is a promising route to achieve solidification of the PCP resin. Different approaches, such as stereolithography, have already been proposed but they all rely on a layer-by-layer printing process which sets limitations on the printing speed and object geometry.<br> Here, we report on the fabrication of complex 3D centimeter-scale ceramic parts by using tomographic volumetric printing which is fast, high resolution and offers a lot of freedom in terms of geometrical design compared to state-of-the-art AM techniques. First, we formulated a photosensitive preceramic resin that was solidified by projecting light patterns from multiple angles. Then, the obtained 3D printed parts were converted into ceramics by pyrolysis. We demonstrate the strength of this approach through the fabrication of dense microcomponents exhibiting overhangs and hollow geometries without the need of supporting structures, and characterize their resistance to high heat and harsh chemical treatments.</p>
Supplementary Materials for Potential Health and Economic Impacts of Shifting Manufacturing from China to Indonesia or India
<p>The Supplementary Materials for ariticle <em>Potential Health and Economic Impacts of Shifting Manufacturing from China to Indonesia or India. </em></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.