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830 results for “industry”
FIG. 7 in The worked bone industry and intrusive fauna associated with the prehistoric cave burials of Abri des Autours (Belgium)
FIG. 7. — Needle made of a suid left fibula, from the Neolithic collective burial at Abri des Autours: A, general view; B, detail of the tip showing a smooth polish associated with fine and short striations; C, detail of the posterior edge near the point, showing fine parallel striations; D, detail of the posterior edge at the midpoint of the tool, showing smooth polish. Scale bars: A, 10 mm; B, C, D, 150 μm.
FIG. 2 in The worked bone industry and intrusive fauna associated with the prehistoric cave burials of Abri des Autours (Belgium)
FIG. 2. — Plan of Abri des Autours: A, circular depression; B, rubble of old (unpublished) excavations; C, crack in the rock; D, pit under low wall (from Polet & Cauwe 2007).
FIG. 6 in The worked bone industry and intrusive fauna associated with the prehistoric cave burials of Abri des Autours (Belgium)
FIG. 6. — Pointed rib of a large bovid, from the Neolithic collective burial at Abri des Autours: A, general view (from left to right: internal, centre and external views); B, detail of the tip (internal view) showing some polish; C, detail of the tip (internal view) showing fine perpendicular striations; D, detail of a lateral edge of the rib devoid of striations. Scale bars: A, 10 mm; B, 500 μm; C, D, 100 μm.
FIG. 3 in The worked bone industry and intrusive fauna associated with the prehistoric cave burials of Abri des Autours (Belgium)
FIG. 3. — Stratigraphy of Abri des Autours, east–west profile (modified from Cauwe 1994): 1a, b, clay, without pebbles; 2, as layer 6, but with more clay; 3a, brown, argillaceous deposit with small, densely dispersed pebbles; 3b, as layer 3a, but less humic. Contains the Neolithic multiple burial; 3c, as layer 3a, but strongly compacted by calcite precipitations; 4, clay with fine pebbles; 5a, b, cryoclastic deposit without humic or clayish fraction; layer 5b corresponds to very fine gravels, while layer 5a includes larger elements. The Mesolithic single burial extends through both of these layers; 6, brown-grey clayey deposit, strongly inclined. Contains the Mesolithic collective burial; 7, cryoclastic layer, included in clayey orange-brown sediment; 8, thin pebble deposit mixed with greyish sediment; 9, low wall constructed of unworked stone blocks.
Industrial Benchmark Dataset for Customer Escalation Prediction
<p>This is a real-world industrial benchmark dataset from a major medical device manufacturer for the prediction of customer escalations. The dataset contains features derived from IoT (machine log) and enterprise data including labels for escalation from a fleet of thousands of customers of high-end medical devices. </p> <p>The dataset accompanies the publication "System Design for a Data-driven and Explainable Customer Sentiment Monitor" (submitted). We provide an anonymized version of data collected over a period of two years.</p> <p>The dataset should fuel the research and development of new machine learning algorithms to better cope with real-world data challenges including sparse and noisy labels, and concept drifts. Additional challenges is the optimal fusion of enterprise and log based features for the prediction task. Thereby, interpretability of designed prediction models should be ensured in order to have practical relevancy. </p> <p><strong>Supporting software</strong></p> <p>Kindly use the corresponding <a href="https://github.com/annguy/customer-sentiment-monitor">GitHub repository</a> (https://github.com/annguy/customer-sentiment-monitor) to design and benchmark your algorithms. </p> <p> </p> <p><strong>Citation and Contact</strong><br> </p> <p>If you use this dataset please cite the following publication:</p> <p><br> </p> <pre><code>@ARTICLE{9520354, author={Nguyen, An and Foerstel, Stefan and Kittler, Thomas and Kurzyukov, Andrey and Schwinn, Leo and Zanca, Dario and Hipp, Tobias and Jun, Sun Da and Schrapp, Michael and Rothgang, Eva and Eskofier, Bjoern}, journal={IEEE Access}, title={System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data}, year={2021}, volume={9}, number={}, pages={117140-117152}, doi={10.1109/ACCESS.2021.3106791}}</code></pre> <p> </p> <p>If you would like to get in touch, please contact an.nguyen@fau.de.<br> </p>
High resolution global industrial and smallholder oil palm map for 2019
<p>The dataset contains 634 100x100 km tiles, covering areas where oil palm plantations were detected. The file '<em>grid.shp</em>' contains the grid that covers the potential distribution of oil palm. The file '<em>grid_withOP.shp</em>' shows the 100x100 grid squares with presence of oil palm plantations. The classified images (‘<em>oil_palm_map</em>’ folder, in geotiff format) are the output of the convolutional neural network based on Sentinel-1 and Sentinel-2 half-year composites. The images have a spatial resolution of 10 meters and contain three classes: [1] Industrial closed-canopy oil palm plantations, [2] Smallholder closed-canopy oil palm plantations, and [3] other land covers/uses that are not closed canopy oil palm. The file ‘<em>Validation_points_GlobalOilPalmLayer_2019.shp</em>’ includes the 13,495 points that were used to validate the product. Each point includes the attribute ‘Class’, which is the labelled class assigned by visual interpretation, and the attribute ‘predClass, which reflects the predicted class by the convolutional neural network. The ‘Class’ and ‘predClass’ values are the same as the raster files: [1] Industrial closed-canopy oil palm plantations, [2] Smallholder closed-canopy oil palm plantations, and [3] other land covers/uses that are not closed canopy oil palm.</p> <p>See article for additional information:</p> <p>Descals, Adrià, et al. "High-resolution global map of smallholder and industrial closed-canopy oil palm plantations." <em>Earth System Science Data</em> 13.3 (2021): 1211-1231.</p> <p> </p> <p>Changelog v1:</p> <p>- The analysis was extended to Sri Lanka, South India, and countries in Eastern Africa where oil palm can potentially grow.</p> <p>- The validation dataset only includes the points drawn by simple random sampling and stratified random sampling in the grid cells where the IUCN industrial layer detected oil palm.</p> <p>- The 'Class' and 'predClass' values in the validation dataset were reclassified with the same values as the raster images: [1] Industrial plantations, [2] Smallholder plantations, and [3] Other land covers/uses.</p>
Engaging the Business and Tourism Industry in Visualizing Sea Level Rise Impacts to Transportation Infrastructure in Waikiki, Hawaii
<p>Transportation planners in coastal communities plan for future hazards and risks of sea-level rise (SLR), and often, they communicate risk in public meetings via PowerPoint presentations with charts as well as two-dimensional (2D) maps that visualize information using Geographic Information Systems (GIS) technologies. The project investigates the use of immersive technology to communicate SLR risk, including the development of an immersive three-dimensional (3D) model of the Waikiki neighborhood of Honolulu, Hawaii. According to the project’s original methodology, participants would have experienced the model using virtual reality (VR). However, due to the COVID-19 pandemic, the team pivoted to creating and implementing an internet-based survey instrument with embedded 2D charts and video of the animated 3D model. The flooding projections were derived from National Oceanic and Atmospheric Administration (NOAA) data. NOAA supplies the SLR Viewer, a screening-level tool that uses the best-available national projections to map areas vulnerable to current and future flood risks.</p>
Competitive growth experiments with a high-lipid Chlamydomonas reinhardtii mutant strain and its wild-type to predict industrial and ecological risks
<p>Key microalgal species are currently being exploited as biomanufacturing platforms using mass cultivation systems. The opportunities to enhance productivity levels or produce non-native compounds are increasing as genetic manipulation and metabolic engineering tools are rapidly advancing. Regardless of the end product, there are both environmental and industrial risks associated to open pond cultivation of mutant microalgal strains. A mutant escape could be detrimental to local biodiversity and increase the risk of algal blooms. Similarly, if the cultivation pond is invaded by a wild-type microalgae or the mutant reverts to wild-type phenotypes, productivity could be impacted. To investigate these potential risks, a response surface methodology was applied to determine the competitive outcome of two <em>Chlamydomonas reinhardtii</em> strains, a wild-type (CC-124) and a high-lipid accumulating mutant (CC-4333), grown in mixotrophic conditions, with differing levels of nitrogen and initial wild-type to mutant ratios. Results of the growth experiments show that mutant cells have double the exponential growth rate of the wild-type in monoculture. However, due to a slower transition from lag phase to exponential phase, mutant cells are outcompeted by the wild-type in every co-culture treatment. This suggests that, under the conditions tested, outdoor cultivation of the <em>C. reinhardtii</em> cell wall-deficient mutant strains does not carry a significant environmental risk to its wild-type in an escape scenario. Furthermore, lipid results show the mutant strain accumulates over 200% more TAGs per cell, at 50 mg/L NH<sub>4</sub>Cl, compared to the wild-type, therefore, the fragility of the mutant strain could impact on overall industrial productivity.</p>
Data for: Drivers and Barriers for Microservice Adoption in the German Software Industry
<p>Microservices are an architectural style for software which currently receives a lot of attention in both industry and academia. Several companies employ microservice architectures with great success, and there is a wealth of blog posts praising their advantages. Especially so-called Internet-scale systems use them to satisfy their enormous scalability requirements and to rapidly deliver new features to their users.<br> However, microservices are not only popular with large, Internet-scale systems. Many traditional companies are also considering whether microservices are a viable option for their applications. However, these companies may have other motivations to employ microservices, and see other barriers which may prevent them from adopting microservices. Furthermore, these drivers and barriers may differ among industry sectors.<br> This dataset contains the questions and results of a survey on drivers and barriers for microservice adoption among professionals in the German software industry. In addition to overall drivers and barriers, we particularly focused on the use of microservices to modernize existing software, with special emphasis on implications for runtime performance and transactionality.</p>
Raw landmarks related to the paper, "Evolution under intensive industrial breeding: skull size and shape comparison between historic and modern pig lineages "
<p>PLEASE NOTE: This dataset has been superseeded by an updated version which has the correct number of specimens as referred to in the below article. It can be accesssed at: https://doi.org/10.5281/zenodo.14262754</p> <p> </p> <p> </p> <p>Raw coordinates (p x k = 82 x 3) of domestic and wild pig skulls that form the dataset for the paper, "­Evolution under intensive industrial breeding: skull size and shape comparison between historic and modern pig lineages "</p>
Fig. 5 in Bird Diversity Differs Between Industrial Tree Plantations On Borneo: Implications For Conservation Planning
Fig. 5. Nonlinear multidimensional scaling of bird survey data pooled by point-transect. Vectors represent correlations between the ordination and habitat variables. Vectors and Pearson correlation coefficients are plotted for habitat variables with an r2> 0.200 for axis 1.
Fig. 4 in Bird Diversity Differs Between Industrial Tree Plantations On Borneo: Implications For Conservation Planning
Fig. 4. Plots of (A) species and (B) individual rates (from Fig. 1) versus number of species listed by www.birdlife.org (Table 1) per habitat type.
Fig. 1 in Bird Diversity Differs Between Industrial Tree Plantations On Borneo: Implications For Conservation Planning
Fig. 1. Map of forest occurrence in Borneo in 2005 (WWF-Malaysia, 2005) showing the localities of the Sarawak Planted Forest Project and Sabah Softwoods plantation.
Dataset used in article "A 2-dimensional guillotine cutting stock problem with variable-sized stock for the honeycomb cardboard industry"
<p>The dataset presented is part of the one used in the article "A 2-dimensional guillotine cutting stock problem with variable-sized stock for the honeycomb cardboard industry" by P. Terán-Viadero, A. Alonso-Ayuso and F. Javier Martín-Campo, published in International Journal of Production Research (2023), doi: <a href="https://doi.org/10.1080/00207543.2023.2279129">10.1080/00207543.2023.2279129</a>. </p><p>In the paper mentioned above, two mathematical optimisation models are proposed for the Cutting Stock Problem in the honeycomb cardboard sector. This problem appears in a Spanish company and the models proposed have been tested with real orders received by the company, achieving a reduction of up to 50% in the leftover generated. </p><p>The dataset presented here includes six of the twenty cases used in the paper (the rest cannot be presented for confidentiality reasons). For each case, the characteristics of the order and the solution obtained by the two models are provided for the different scenarios analysed in the paper.</p><p> </p><p>*Version 1.1 contains the same data but renamed according to the instances name in the final version of the article.<br>*Version 1.2 adds the PDF with the accepted version of the article publised in International Journal of Production Research (2023), doi: <a href="https://doi.org/10.1080/00207543.2023.2279129">10.1080/00207543.2023.2279129</a>. </p>
Dataset for the uncertainty assessment of confocal measurements of industrial samples
<p>These original measurement data relate to the publication: J. Paredes, G. Kortaberria: Towards task-specific uncertainty assessment for imaging confocal microscopes, <a href="https://www.euspen.eu/knowledge-base/ICE23191.pdf">ICE23191.pdf (euspen.eu)</a>. Please refer to this open access publication for a detailed description of the measurement setup and procedure.</p><p>All data are in ASCII-format. Each file contains 2 columns, where they are the measured <i>x/y</i> and <i>z</i>-coordinates of the 2D profile extracted from the surface. All the coordinates are recorded in micrometers. The 0/90 at the end of the file names represent the orientation of the extracted profile being<i> x</i> and <i>y</i> direction respectively.</p><p>The topoghraphy files contain 3 columns, they are the measured<i> x</i>, <i>y</i>, and <i>z</i>-coordinates of the surface.</p><p><strong>Acknowledgement</strong></p><p>This project 20IND07 TracOptic has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme. Funder name: European Metrology Programme for Innovation and Research (EMPIR).</p>
Replication data for: Operating Strategies of an Industrial R717 Heat Pump Recovering Waste Heat of a Chiller
<p>This dataset contains the data of the publication:<br> Verdnik, M., Wagner, P., Rieberer, R., 2022. Operating Strategies of an Industrial R717 Heat Pump Recovering Waste Heat of a Chiller. Proc. International Congress of Refrigeration 2023, Paris, France</p>
Image repository for "Towards advancing Translators' Guidance for Organisations Tackling Innovation Challenges in Manufacturing within an Industry 5.0 context"
<p>The files on this trusted repository are provided by the authors of the manuscript with the title “Towards advancing Translators’ Guidance for Organisations Tackling Innovation Challenges in Manufacturing within an Industry 5.0 context” that was received by the MDPI journal Sustainability (ISSN 2071-1050) on 29 January 2024, got the manuscript ID sustainability-2872279, and is intended to become part of the special issue “Sustainable Materials, Manufacturing and Design” accessible under the link <a href="https://www.mdpi.com/journal/sustainability/special_issues/Sus_materials_manufacturing_design">https://www.mdpi.com/journal/sustainability/special_issues/Sus_materials_manufacturing_design</a>.</p> <p>The authors Paul-Ludwig Michael Noeske, Alexandra Simperler, Welchy Leite Cavalcanti, Vinicius Carrillo Beber, Brendon Weager, Tasmin Alliott, Peter Schiffels, and Gerhard Goldbeck aim at facilitating common access to the files representing high-resolution microscopy images (corresponding to the light microscopy (LM) and scanning electron microscopy (SEM) images shown in Figure 9 and Figure 12 in the manuscript or complementing them) given in .jpg and .tif format, respectively. Moreover, this repository comprises a .csv file containing the data points underlying the values presented in Table A1 of this manuscript and their description. The authors indicate here that following the sixth step of the translation process in materials modelling the translator may provide these data in this presentation that is adapted to the process-centric perspective required by representatives of an enterprise manufacturing prepregs and to their background knowledge disclosed to the translator beforehand.“</p>
Dataset of the manuscript: Efficient removal of nanoplastics from industrial wastewater through synergetic electrophoretic deposition and particle-stabilized foam formation
<p>This dataset is based on the data underlying the figures shown in the manuscript titled Efficient removal of nanoplastics from industrial wastewater through synergetic electrophoretic deposition and particle-stabilized foam formation. A readme file is uploaded to decribe the content of all data folders. All data are sorted according to their appearance in the figures of the main manuscript.</p>
Global Industrial Sulfuric Acid Market 2024 to 2033
<p><a href="https://www.custommarketinsights.com/report/industrial-sulfuric-acid-market/" target="_blank" rel="noopener">Industrial Sulfuric Acid Market Size, </a>Trends and Insights By Type (Concentrated Sulfuric Acid, Tower/Glover Acid, Battery Acid, Others), By Application (Fertilizers, Chemical Manufacturing, Metal Processing, Petroleum Refining, Automotive, Others), By End Use Industry (Agriculture, Chemicals, Metals & Mining, Petroleum, Automotive, Others), By Distribution Channel (Online, Offline), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033</p> <p><strong>Reports Description</strong></p> <p>According to current market research conducted by the CMI Team, the global <a href="https://www.custommarketinsights.com/report/industrial-sulfuric-acid-market/" target="_blank" rel="noopener"><strong>Industrial Sulfuric Acid Market</strong></a> is expected to record a CAGR of <strong>10.67%</strong> from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD <strong>13.79 Billion</strong>. By 2033, the valuation is anticipated to reach USD <strong>34.34 Billion</strong><strong>.</strong></p> <p><strong>DOWNLOAD FREE SAMPLE Now at <a href="https://www.custommarketinsights.com/request-for-free-sample/?reportid=56588">https://www.custommarketinsights.com/request-for-free-sample/?reportid=56588</a></strong></p>
Industrial Ecology Data Commons (iedc) December 2024 update
<p>The Industrial Ecology Data Commons (iedc) is a database that contains more than 200 IE-related datasets from the literature, including stocks, flows, process descriptions, IO tables, material composition of products, and many more. Launched in 2018, the iedc is continuously improved and expanded. </p> <p>The homepage of the project is https://www.database.industrialecology.uni-freiburg.de/</p> <p>This Zenodo backup contains a .zip file with 156 parameter templates (xlsx), which where all uploaded to the iedc (SQL database) and are available online.</p> <p>This backup is for archiving the intermediate step between raw data and uploaded data.</p> <p>It contains all data that were gathered up to and including November 2024 except for those data that were uploaded directly via Pyhton scripts from other sources (like .csv) and not via the xlsx templates.</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.