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1,287
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Dataset results
1,287 results for “Innovation”
Dataset: Aurora Innovation, Inc. (AUR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Aurora Innovation, Inc. (AUROW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: AOT Growth and Innovation ETF (AOTG) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: AOT Growth and Innovation ETF (AOTG) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Tradr 2X Long Innovation ETF (TARK) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Tradr Short Innovation Daily ETF (SARK) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Purple Innovation, Inc. (PRPL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Luna Innovations Incorporated (LUNA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Innovative Eyewear, Inc. (LUCY) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Innovative Eyewear, Inc. (LUCYW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: First Trust Indxx Innovative Transaction & Process ETF (LEGR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Global X AgTech & Food Innovation ETF (KROP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Kaival Brands Innovations Group, Inc. (KAVL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Innovative Solutions and Support, Inc. (ISSC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
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: Subset2
<p>This dataset contains the data underlying the following publication: Li Qimeng, Wang Cheng, Hua Ming, Shuang Chendong, Li Aimin, Gao Canzhu. (2017). High-efficient removal of phthalate esters from aqueous solution with an easily regenerative magnetic resin: Hydrolytic degradation and simultaneous adsorption. <em>Journal of Cleaner Production</em><em>. </em> <a href="https://doi.org/10.1016/j.jclepro.2017.11.121">https://doi.org/10.1016/j.jclepro.2017.11.121</a></p>
International dataset on eco-innovation parks
<p>This dataset presents information on 168 European and non-European eco-innovation parks, defined as eco-industrial park or eco-innovative areas combining residential and industrial activities.<br> <br> Each eco-innovation park is characterized according to 78 attributes with general information (e.g. type of park, size of park), a set of eco-criterion (e.g. waste management, material flow, renewable energy), a set of success factors (e.g. financial incentives, cooperation with science and technology institutions) and information sources (i.e peer-reviewed papers or reports and online materials).<br> <br> The environmental activities of the park are defined by 12 eco-criteria, 8 of which having sub-eco-criteria to precise the action undertaken (e.g. eco-criterion water management with sub-eco-criterion wastewater treatment). Similarly, a set of 8 predefined success factors is used as potential parameters for the identification of successful development and operation of eco-innovation parks. A full description of the attributes is provided on the worksheet “metadata”. The worksheet “data” contains the information on the 168 eco-innovation parks.<br> <br> For this desktop research, efforts were made to collect the data rigorously. Uncertainty may however remain regarding the reported information (no guarantee for complete and accurate information). Part of the data made here available were described in the report "international survey on eco-innovation parks" available under: https://doi.org/10.5281/zenodo.1164587</p>
MATISE ("Mapping Tool for Innovation Systems Evaluation")
<p>This dataset contains the underlying data for the following publication: Nikas, A., Doukas, H., Lieu, J., Alvarez Tinoco, R., Charisopoulos, V., & van der Gaast, W. (2017). Managing stakeholder knowledge for the evaluation of innovation systems in the face of climate change. Journal of Knowledge Management, 21(5), 1013-1034, ISSN: 1367-3270<strong><em>. </em></strong>Full details of methods used to create the tool are provided within this publication<em>.</em></p>
Learning from innovation failure in tourism - five most common pitfalls
<p>Through in-depth interviews the EU INNOVATE research project has highlighted multiple types of risks that innovative entrepreneurs in tourism could not overcome, and critical events and factors at different stages. Critical factors are: financial (persistent financial under-performance and impossibility to secure private investment), customer-related factors (lack of market credibility and trust, lack of understanding of the value proposal, insufficient funding for innovation diffusion, etc.) and insufficient knowledge (of the tourism sector or innovation/managerial key skills).</p> <p>Some of these issues have been summarized in a video format to reach a wider audience of practitioners and policy makers. The aim of this video is to highlight in an accessible and humorous way the <em>most common critical mistakes and factors </em>reported by real-life entrepreneurs participating in the research, mistakes either leading to failure or making the process more difficult. With this video, the researchers aim to disseminate their research findings and reach current and potential entrepreneurs to remind them about the importance of a proactive and active management of common potential risks. The video also brings teaching opportunities to academics lecturing entrepreneurship and innovation in tourism in order to attract their students’ interest and shape their future careers as potential entrepreneurs.</p>
LEARNING FROM INNOVATION FAILURE IN TOURISM: ADVICE AND LESSONS
<p>Through in-depth interviews the EU INNOVATE research project has highlighted multiple types of risks that innovative entrepreneurs in tourism could not overcome, and critical events and factors at different stages. The aim of this video is to review some of the key lessons reported by real-life entrepreneurs participating in the research who failed to succeed. Failing to succeed with an innovative entrepreneurial venture is a painful but valuable learning opportunity. Some lessons might seem obvious but they are real-life examples which illustrate how easy it is to overlook them in practice. With the video the researchers aim to translate the research findings into a language and format that can reach potential entrepreneurs to remind them about the importance of a proactive and active management of common potential risks. The video also brings teaching opportunities to academics lecturing entrepreneurship and innovation in tourism in order to attract their students’ interest and shape their future careers as potential entrepreneurs.</p> <p> </p>
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: Subset5
<p>This dataset contains the data underlying the following publication: Yu Huang, Shi Cheng, Ya-Ping Wu, Ji Wu<sup> </sup>, Yan Li, Zong-Li Huo, Ji-Chun Wu<sub>­</sub>, Xian-Chuan Xie, Gregory V. Korshin , Ai-Min Li<sup> </sup>, Wen-Tao Li (2019)</p> <p>Developing surrogate indicators for predicting suppression of halophenols formation potential and abatement of estrogenic activity during ozonation of water and wastewater. <em>Water Research.</em> <a href="https://doi.org/10.1016/j.watres.2019.05.092">https://doi.org/10.1016/j.watres.2019.05.092</a></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.