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Dataset results
830 results for “INDUSTRY”
E-Supply Chain, E-Procurement, ERP's Impact on Indonesia's Industry Performance
Open the record for dataset details and reuse information.
Data from: Non-industry sponsored preclinical studies on statins yield greater efficacy estimates than industry-sponsored studies: a meta-analysis
Industry-sponsored clinical drug studies are associated with publication of outcomes that favor the sponsor, even when controlling for potential bias in the methods used. However, the influence of sponsorship bias has not been examined in preclinical animal studies. We performed a meta-analysis of preclinical statin studies to determine whether industry sponsorship is associated with either increased effect sizes of efficacy outcomes and / or risks of bias in a cohort of published preclinical statin studies. We searched Medline (January 1966 - April 2012) and identified 63 studies evaluating the effects of statins on atherosclerosis outcomes in animals. Two coders independently extracted study design criteria aimed at reducing bias, results for all relevant outcomes, sponsorship source, and investigator financial ties. The I2 statistic was used to examine heterogeneity. We calculated the standardized mean difference (SMD) for each outcome and pooled data across studies to estimate the pooled average SMD using random effects models. In a priori subgroup analyses, we assessed statin efficacy by outcome measured, sponsorship source, presence or absence of financial conflict information, use of an optimal time window for outcome assessment, accounting for all animals, inclusion criteria, blinding, and randomization. The effect of statins was significantly larger for studies sponsored by non-industry sources (-1.99; 95% CI -2.68, -1.31) versus studies sponsored by industry (-0.73; 95% CI -1.00, -0.47) (p value < 0.001). Statin efficacy did not differ by disclosure of financial conflict information, use of an optimal time window for outcome assessment, accounting for all animals, inclusion criteria, blinding, and randomization. Possible reasons for the differences between non-industry and industry sponsored studies, such as selective reporting of outcomes, require further study.
Figure 3 from: Blagoderov V, Kitching I, Livermore L, Simonsen T, Smith V (2012) No specimen left behind: industrial scale digitization of natural history collections. ZooKeys 209: 133-146. https://doi.org/10.3897/zookeys.209.3178
Figure 3 - Metadata Creator software: a–c working areas a drawer image b specimen records c annotation fields d tool selector e unique IDs.
Figure 1 from: Blagoderov V, Kitching I, Livermore L, Simonsen T, Smith V (2012) No specimen left behind: industrial scale digitization of natural history collections. ZooKeys 209: 133-146. https://doi.org/10.3897/zookeys.209.3178
Figure 1 - SatScan imaging: a SatScan machine b specimens being imaged c individual frames aligned d fragment of a stitched image; final resolution of the stitched image ~11 lines/mm.
Figure 2 from: Blagoderov V, Kitching I, Livermore L, Simonsen T, Smith V (2012) No specimen left behind: industrial scale digitization of natural history collections. ZooKeys 209: 133-146. https://doi.org/10.3897/zookeys.209.3178
Figure 2 - Image based digitization workflow consisting of four stages: Imaging, Metadata capture, Institutional databading and Publication.
MADFORWATER: WP2: Adaptation of wastewater treatment technologies for agricultural reuse: Task2.4: Industrial wastewater treatment: Treatment of different types of wastewater by means of innovative resins: Subset4
<p>This dataset contains the data underlying the following publication: Ji Wu, Shi Cheng, Min-Hui Cai, Ya-Ping Wu, Yan Li, Ji-Chun Wu, Ai-Min Li, Wen-Tao Li(2018)</p> <p>Applying UV absorbance and fluorescence indices to estimate inactivation of bacteria and formation of bromate during ozonation of water and wastewater effluent. <em>Water Research. </em> <a href="https://doi.org/10.1016/j.watres.2018.08.030">https://doi.org/10.1016/j.watres.2018.08.030</a></p>
Data from: The first high-resolution aerosol pH change since industrial revolution constructed by the nitrogen isotopes of ice core ammonium
<p><span><span>Aerosol acidity has broad significance in the atmosphere and ecosystems; however, a reliable way to quantify its changes over long time is lacking. Here, we propose a n</span><span>ew</span><span> approach calculating aerosol pH based on the nitrogen stable isotope composition (δ15N) of aerosol ammonium (NH4+) and for the first time reconstruct historical trajectory of aerosol pH over the last two centuries via δ15N of NH4+ achieved in a Tibetan ice core. We observed a significant decrease in δ15N of ice core NH4+ by 13‰ from the preindustrial to modern era, corresponding to a decreased in aerosol pH by 0.75 units. The decline in pH demonstrates a dominant role of anthropogenic emissions in acid gases over alkaline gases since Industrial Revolution. Our study also suggests that spatiotemporal patterns of aerosol acidity could be widely revealed by future nitrogen stable isotope of aerosol</span><span> or ice core</span><span> ammonium measurement, which in turn will promote the understanding in aerosol chemistry in the context of global environmental changes.</span>y in the context of global environmental changes.</span></p>
Supplementary material 1 from: Heinrich S, Gomez L, Green J, de Waal L, Jakins C, D'Cruze N (2022) The extent and nature of the commercial captive lion industry in the Free State province, South Africa. Nature Conservation 50: 203-225. https://doi.org/10.3897/natureconservation.50.85292
Supplementary tables and figures
Supplementary material 2 from: Worthy SJ, Marsico TD, Lucardi RD, Whitehurst LE, Burgess KS (2022) Variation in plant traits and phylogenetic structure associated with native and nonnative species in an industrialized flora. NeoBiota 77: 101-123. https://doi.org/10.3897/neobiota.77.87307
Sequencing and collection information for the species in this study
Supplementary material 1 from: Worthy SJ, Marsico TD, Lucardi RD, Whitehurst LE, Burgess KS (2022) Variation in plant traits and phylogenetic structure associated with native and nonnative species in an industrialized flora. NeoBiota 77: 101-123. https://doi.org/10.3897/neobiota.77.87307
Species included in this study, listed alphabetically, along with their traits
Supplementary material 1 from: Martoni F, Smith RL, Piper AM, Nancarrow N, Aftab M, Trebicki P, Kimber RBE, Rodoni BC, Blacket MJ (2023) Non-destructive insect metabarcoding as a surveillance tool for the Australian grains industry: a first trial for the iMapPESTS smart trap. Metabarcoding and Metagenomics 7: e95650. https://doi.org/10.3897/mbmg.7.95650
All the taxa (ASVs) recorded in this study
Supplementary material 2 from: Martoni F, Smith RL, Piper AM, Nancarrow N, Aftab M, Trebicki P, Kimber RBE, Rodoni BC, Blacket MJ (2023) Non-destructive insect metabarcoding as a surveillance tool for the Australian grains industry: a first trial for the iMapPESTS smart trap. Metabarcoding and Metagenomics 7: e95650. https://doi.org/10.3897/mbmg.7.95650
Species accumulation curve
InHARD-DT - Industrial Human Action Recognition Dataset - Digital Twin
<p>This paper explores the use of a Digital Twin of a real industrial workstation involving assembly tasks with a robotic arm interfaced with Virtual Reality (VR) to extract a digital human model. The DT simulates assembly operations performed by humans aiming to generate self-labeled data. Thereby, a Human Action Recognition dataset named InHARD-DT was created to validate a real use case in which we use the acquired auto-labeled DT data of the virtual representation of the InHARD dataset to train a Spatial–Temporal Graph Convolutional Neural Network with skeletal data on one hand. On the other hand, the Physical Twin (PT) data of the InHARD dataset was used for testing. Therefore, we introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset - Digital Twin” (InHARD-DT) from a real-world setting for industrial human action recognition. </p> <p>We invited 12 distinct subjects from the LINEACT laboratory (4 females and 8 males) for the DT data collection to perform the same assembly tasks of the InHARD dataset (link below) in Virtual Reality via a VR application of an industrial real workstation. This dataset contains 13 different industrial action classes and over 4800 action samples. The introduction of this dataset should allow us the study and development of various learning techniques for the task of human actions analysis inside industrial environments involving human robot collaborations. It can be used also in cross-validation scenarios where the training phase can be done using the Physical Twin (PT) data of the InHARD dataset (real world scenarios) and then test using Digital Twin (DT) data of the InHARD-DT dataset which is the main objective of this paper. </p>
Patents related to wood industry
<p>Patents related to wood industry (WIPO)</p>
Behavioral aspects of asset value by industry indices of the Moscow Stock Exchange
<p>Behavioral aspects of asset value by industry indices of the Moscow Stock Exchange</p>
Supplementary material 1 from: Anibaba QA, Dyderski MK, Woźniak G, Jagodziński AM (2023) Native plant community characteristics explain alien species success in post-industrial vegetation. NeoBiota 85: 1-22. https://doi.org/10.3897/neobiota.85.97269
Frequency and cover of alien species occurring on post-coal mine spoil heaps
Supplementary material 1 from: Rubenstein JM, Hulme PE, Rolston MP, Stewart AV, Hampton JG (2023) A century of weed change in New Zealand's forage seed multiplication industry. NeoBiota 85: 167-195. https://doi.org/10.3897/neobiota.85.100825
Supporting information
Analysis of leadership style and organizational culture datasets on organizational commitment through job satisfaction in The Automotive Component Industry
<p>This dataset was collected and used as supplementary data</p>
UTILIZATION OF CHLORELLA VULGARIS IN FISH FEEDING IN FISHERY INDUSTRY
Open the record for dataset details and reuse information.
A Study to Evaluate the Effect of of Albuterol Sulfate Inhalation Aerosol, eq 90 mcg Base (Sun Pharmaceuticals Industries Limited)
ClinicalTrials.gov study NCT03528577. IPD Sharing: NO. Countries: 1. Publications: 0.
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.