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Dataset results
830 results for “INDUSTRY”
MMIFR: Multimodal Industry Focused Data Repository
<p>The MMIFR data repository consists of three distinct components: MMIFR-D, MMIFR-FS, and MMIFR-P. The MMIFR-D dataset comprises a comprehensive assemblage of 5907 images accompanied by corresponding textual descriptions, notably facilitating the application of industrial equipment classification. In contrast, the MMIFR-FS dataset serves as an alternative variant characterized by the inclusion of 129 distinct classes and 5907 images, specifically catering to the task of few-shot learning within the industrial domain. Additionally, the MMIFR-P dataset consists of 142 textual-visual information pairs, making it suitable for detecting pairs of industrial equipment.</p>
Stakeholder Analysis of the Heavy-Duty Mobile Machinery Industry
<p>The stakeholder analysis related to automated and autonomous heavy-duty mobile machines (HDMMs) performed in the context of the doctoral research of ESR 1 in the MORE project funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 858101</p> <p>The dataset was part of a mixed methods multiple case study and contains the results of the short survey as well as the interview transcripts. The dataset has been anonymised and/or pseudonymised to maintain context.</p> <p>The dataset was collected between March 2022 and September 2022.</p>
Alterations in gene expression in Caenorhabditis elegans associated with exposure to several classes of toxic industrial chemicals/materials.
GEO Series GSE42592. Caenorhabditis elegans. 80 samples. Type: Expression profiling by array.
Short-term exposure to effluent from bulk drug industries
GEO Series GSE23983. Rattus norvegicus. 10 samples. Type: Expression profiling by array.
Pharmaceutical industry effluent diluted 1:500 affects gene expression, CYP1A activity and plasma phosphate in fish
GEO Series GSE15124. Oncorhynchus mykiss. 19 samples. Type: Expression profiling by array.
au14-11_levure - study of a kinetic answer - Effect of a mixture of molecules stemming from industrial process
GEO Series GSE93119. Arabidopsis thaliana. 12 samples. Type: Expression profiling by array.
Responses to inhibitors in an industrial strain of yeast and the adapted strains
GEO Series GSE17877. Schizosaccharomyces pombe; Saccharomyces cerevisiae. 20 samples. Type: Expression profiling by array.
UK Industrial X-ray CT User-group Benchmark Data: 3D Al target 08
<p>X-ray tomography (CT) image data of a aluminium target as part of the 'UK Industrial X-ray CT User-group Benchmark Study'.<br> <br> The 3D image was generated with an X-ray tomography scan performed by Dr T Lowe at the Manchester X-ray Imaging Facility.<br> <br> The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw) is in binary format and has the following characteristics: 1596 x 1596 x 950; 16-bit Signed; little-endian byte order.</p>
UK Industrial X-ray CT User-group Benchmark Data: 3D Al target 02
<p>X-ray tomography (CT) image data of a aluminium target as part of the 'UK Industrial X-ray CT User-group Benchmark Study'.<br> <br> The 3D image was generated with an X-ray tomography scan performed by Dr T Lowe at the Manchester X-ray Imaging Facility.<br> <br> The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw) is in binary format and has the following characteristics: 1596 x 1596 x 950; 16-bit Signed; little-endian byte order.</p>
UK Industrial X-ray CT User-group Benchmark Data: 3D Al target 03
<p>X-ray tomography (CT) image data of a aluminium target as part of the 'UK Industrial X-ray CT User-group Benchmark Study'.<br> <br> The 3D image was generated with an X-ray tomography scan performed by Dr T Lowe at the Manchester X-ray Imaging Facility.<br> <br> The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw) is in binary format and has the following characteristics: 1596 x 1596 x 950; 16-bit Signed; little-endian byte order.</p>
UK Industrial X-ray CT User-group Benchmark Data: 3D Al target 07
<p>X-ray tomography (CT) image data of a aluminium target as part of the 'UK Industrial X-ray CT User-group Benchmark Study'.<br> <br> The 3D image was generated with an X-ray tomography scan performed by Dr T Lowe at the Manchester X-ray Imaging Facility.<br> <br> The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw) is in binary format and has the following characteristics: 1596 x 1596 x 950; 16-bit Signed; little-endian byte order.</p>
UK Industrial X-ray CT User-group Benchmark Data: 3D Al target 05
<p>X-ray tomography (CT) image data of a aluminium target as part of the 'UK Industrial X-ray CT User-group Benchmark Study'.<br> <br> The 3D image was generated with an X-ray tomography scan performed by Dr T Lowe at the Manchester X-ray Imaging Facility.<br> <br> The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw) is in binary format and has the following characteristics: 1596 x 1596 x 950; 16-bit Signed; little-endian byte order.</p>
UK Industrial X-ray CT User-group Benchmark Data: 3D Al target 04
<p>X-ray tomography (CT) image data of a aluminium target as part of the 'UK Industrial X-ray CT User-group Benchmark Study'.<br> <br> The 3D image was generated with an X-ray tomography scan performed by Dr T Lowe at the Manchester X-ray Imaging Facility.<br> <br> The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw) is in binary format and has the following characteristics: 1596 x 1596 x 950; 16-bit Signed; little-endian byte order.</p>
UK Industrial X-ray CT User-group Benchmark Data: 3D Al target 09
<p>X-ray tomography (CT) image data of a aluminium target as part of the 'UK Industrial X-ray CT User-group Benchmark Study'.<br> <br> The 3D image was generated with an X-ray tomography scan performed by Dr T Lowe at the Manchester X-ray Imaging Facility.<br> <br> The dataset includes: raw radiographs; scan & reconstruction parameter settings file; reconstructed 3D volume. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads). The volume image data (.raw) is in binary format and has the following characteristics: 1596 x 1596 x 950; 16-bit Signed; little-endian byte order.</p>
Supporting information for Article "Hydrothermal carbonization for sludge disposal in Germany: A comparative assessment for industrial-scale scenarios in 2030"
<p>These supporting information files provides details of all case and scenario assumptions, scenario factors, sensitivity assumptions and factors as well as calculation results (PDF file) as well as the detailed backgound calculations (ZIP files with MS Excel Sheets) referred to in the article "Hydrothermal carbonization for sludge disposal in Germany: A comparative assessment for industrial-scale scenarios in 2030" (Journal of Industrial Ecology).</p>
Supplementary material for paper: Unified Functional Safety Assessment of Industrial Automation Systems
<p>This collection contains benchmarks used for the paper titled <strong>Unified Functional Safety Assessment of Industrial Automation Systems</strong> accepted in IEEE TII. This archive provides all information needed to recreate the results presented in the paper including the following:</p> <ol> <li>A technical report presenting proofs of Trace equivalence between Function Block Networks and the generated PRISM Models.</li> <li>A set of examples and benchmarks used for experimentation in the said research paper.</li> <li>The results of the analysis presented in the paper are also contained here in the form of spreadsheets contained in file <em>PRISMResults.xlsx</em>.</li> <li>Each of the included sub-folders contains a README.md file describing the system and provides instructions to recreate these results.</li> </ol>
Gene catalogue of the industrial sugarcane ethanol bioprocess microbiome
<p>Catalogue of 296,257 unique microbial gene sequences (in fasta format) from metagenomic samples collected across all steps of the industrial process. </p> <p>For more details, please refer to the publication.</p>
Database of chestnut Industries
Open the record for dataset details and reuse information.
Database of figs Industries
Open the record for dataset details and reuse information.
Optimizing Vocational Education Collaboration in China: Insights from a Delphi Study on College-Industry-Government Cooperation
<p>Raw data for first round of Delphi</p>
ScienceDex guides
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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.