Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,287
datasets available to search
ShareScore release 0.9.0
Dataset results
1,287 results for “innovative”
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: Subset1
<p>This dataset contains the data underlying the following publication: Li Wen-Tao, Cao Meng-Jie, Young Tessora, Ruffino Barbara, Dodd Michael, Li Ai-Min, Korshin Gregory. (2017).</p> <p>Application of UV absorbance and fluorescence indicators to assess the formation of biodegradable dissolved organic carbon and bromate during ozonation. Water Research 2017, 111, 154-162. <a href="http://dx.doi.org/10.1016/j.watres.2017.01.009">http://dx.doi.org/10.1016/j.watres.2017.01.009</a>.</p>
Enhancing the Durability and the Service Life of Asphalt Pavements through Innovative Light-Induced Self-Healing Materials
<p>Corresponding data set for Tran-SET Project No. 17BLSU02. Abstract of the final report is stated below for reference:</p> <p>"The objective of this study was to evaluate the efficiency of a new generation of Ultraviolet (UV) light-induced self-healing polymers in enhancing the durability and self-healing properties of asphalt mixtures. Self-healing polymers were successfully synthesized in the laboratory and were characterized using Fourier Transform Infrared Spectroscopy (FTIR). In addition, Thermogravimetric Analysis (TGA) results showed that the synthesized polymers achieved the required thermal stability to resist asphalt mixture production processes. Viscosity results showed that addition of 5% Recycled Asphalt Shingle (RAS) and/or 20% Reclaimed Asphalt Pavement (RAP) caused an increase in the viscosity of the binder blends. However, a reduction in viscosity of the binder blends containing recycled asphalt materials was observed when adding self-healing polymers. Semi-Circular Bending (SCB) test results showed that addition of recycled asphalt materials negatively affected the cracking performance of mixtures. However, incorporation of self-healing polymer (SHP) and 48h of UV light exposure improved the cracking resistance. This behavior was more evident with mixtures prepared with an unmodified binder. Loaded-Wheel Test (LWT) results showed that the addition of the self-healing polymer led to an increase in the rut depth of the samples prepared with an unmodified binder. However, the final rut depth was less than 6 mm, which is an acceptable rutting performance. Thermal-Stress Restrained Specimen Test (TSRST) results showed that addition of 5% RAS negatively affected the low-temperature cracking performance of the mix. In contrast, 5% SHP enhanced the low-temperature cracking performance of the mix by increasing the fracture load and decreasing the fracture temperature. For mixtures prepared with an unmodified binder, the optimum crack healing efficiency was observed for the mixtures containing 5% RAS and 5% self-healing polymer and exposed to 48h of UV light. Yet, self-healing polymer did not perform well in mixtures prepared with PG 70-22M polymer-modified binder. This may be due to the interaction between the polymer in the binder and the self-healing polymer."</p>
REINVENT Decarbonisation Innovations Database [Data set]
<p>This database includes more than 100 decarbonisation innovations in Paper, Plastic, Steel and Meat & Dairy sectors, across their value chains, as well as in Finance.</p> <p>For each innovation there is a description, information about its contribution to decarbonisation, actors and collaborators involved, sources of funding, drivers, (co)benefits and disadvantages. More information on the method for selecting innovations for the database is available <a href="https://static1.squarespace.com/static/59f0cb986957da5faf64971e/t/5d6e590ef37f240001b5ea5d/1567512873422/D2.1+Decarbonisation+innovations+database.pdf">here</a>. </p> <p>The database was created as part of REINVENT – a Horizon 2020 research project funded by the European Commission (grant agreement 730053). REINVENT involves five research institutions from four countries: Lund University (Sweden), Durham University (United Kingdom), Wuppertal Institute (Germany), PBL Netherlands Environmental Assessment Agency (the Netherlands) and Utrecht University (the Netherlands). More information can be found on our website: <a href="https://www.reinvent-project.eu">www.reinvent-project.eu</a>. </p>
Interviewees and mapping of interview questions to areas of Innovation Diffusion Theory
<p>This submission includes two files complementing the F1000Research article "Preprints and Scholarly Communication: Adoption, Practices, Drivers and Barriers" - <a href="https://doi.org/10.12688/f1000research.19619.1">https://doi.org/10.12688/f1000research.19619.1</a></p> <p>The table '<strong>Extended data</strong>' shows how interview questions for our study were built based on the features of information diffusion theory (IDT) (Rogers, 2003). It should be noted that not all interview questions were asked to all stakeholder groups based on appropriateness and time available. Some questions in the table may appear to be repeated: this is because slightly different phrasing was used based on the stakeholder interviewed.</p> <p>Legend:</p> <ul> <li>Research Funder: RF</li> <li>Research Performing Organisation: RPO</li> <li>Preprint Server: PS</li> <li>Other Service Provider: OSP</li> <li>Engaged researcher: ER</li> <li>Unengaged researcher: UR</li> </ul> <p>The table '<strong>List of interviewees</strong>' includes all stakeholders interviewed in the context of this research. More information on this study is also available in the form of a <a href="http://doi.org/10.5281/zenodo.3357727">report</a>.</p>
DISCERN 2: Duke Innovation & SCientific Enterprises Research Network
<p>The DISCERN dataset was developed to support academic research on corporate innovation by linking data on U.S. publicly listed firms from Standard & Poor’s Compustat database to their patents and scientific publications. A key feature of DISCERN is its comprehensive coverage of firms’ subsidiaries and their ownership changes over time, which is crucial for accurately mapping corporate innovation. Patents and publications may be assigned to various legal entities within a firm’s organizational structure. Subsidiaries may change ownership in M&A events. By accounting for these ownership linkages over time, DISCERN enables researchers to construct more precise measures of firms’ knowledge production and examine the factors influencing their R&D investment decisions.</p> <p>Version 2.0 incorporates several key improvements over the previous version of DISCERN. First, we shift to using the PatentsView database as the main source of patent data and OpenAlex as the main source of scientific publication data. PatentsView is publicly available and continuously maintained directly by the United States Patents & Trademarks Office (USPTO). OpenAlex is currently the only open data source of scientific publication metadata. Using freely available data sources allows us to share both the patent and the publication datasets openly. This enhances data access, which was previously limited due to the use of propriety data. Second, the updated dataset now covers the period from 1980 to 2021, providing an additional six years of data. Third, we transition to using Securities and Exchange Commission (SEC) filings as the primary source of subsidiary data, allowing us to trace ownership linkages further back to the mid-1990s and ensuring a higher degree of reliability compared to the Orbis data used in the original version, which was less reliable and had comprehensive coverage only from 2008. Finally, by transitioning to PatentsView and additional data sourced from the USPTO, we expand the scope of the dataset to include pre-grant patent applications and patent re-assignment information. This addition allows users to study patent applications regardless of grant status and to observe ownership transitions beyond those related to mergers and acquisitions.</p> <p>A special thanks and appreciation go to Sanskriti Purohit and Ron Rabi for their diligent work and dedication to this effort.</p> <p>The dataset is freely available under the<a href="https://cdla.dev/open-use-of-data-agreement-v1-0/"> O-UDA-1.0 License</a>, permitting unrestricted use for research and commercial purposes. We request that users provide proper citations when utilizing the dataset. The license also allows for the creation of derivative datasets based on DISCERN, with the condition that creators ask their downstream users to cite the original authors appropriately.</p> <p><strong>If you use the data, please add these citations:</strong></p> <p>1. Arora, A., Belenzon, S., Cioaca, L., Sheer, L, Shin, H.M. & Shvadron, D. (2024). DISCERN 2.0: Duke Innovation & SCientific Enterprises Research Network [Dataset]. In Zenodo (CERN European Organization for Nuclear Research). <a href="../doi/10.5281/zenodo.3594642">https://doi.org/10.5281/zenodo.3594642</a></p> <p>2. Arora, A., Belenzon, S., Cioaca, L., Sheer, L, & Shvadron, D. (2024). Back to the Future: Are Big Firms Regaining their Scientific and Technological Dominance? Evidence from DISCERN 2.0 (available soon)</p> <p> </p>
Dataset of Listed A-Share Manufacturing Companies in China (2011-2022) for ESG and Innovation Capability Analysis
<p>This dataset was constructed for a study on the relationship between Environmental, Social, and Governance (ESG) scores and innovation capability among listed A-share manufacturing companies in China. The data were sourced from the CMSAR database, focusing on companies within the equipment manufacturing industry, while financial industry samples were excluded. The final dataset comprises 851 samples from 84 listed companies spanning the period from 2011 to 2022. Continuous variables in the dataset were winsorized at the 1% level to mitigate the influence of outliers.</p>
DEVELOPMENT OF AN INNOVATIVE PROCESS INVOLVING THE USE IONIC LIQUIDS FOR THE RECOVERY AND PURIFICATION OF RARE EARTH FROM PERMANENT MAGNETS AND NiMH BATTERIES
<p>Experimental data</p>
Exploring the needs of institutional stakeholders involved in the cultural heritage and social innovation sectors
<p>This data set was produced to gather information and lessons learnt from institutional stakeholders directly or indirectly involved in cultural approaches and/or promoting social integration of disadvantaged groups in order to understand what they need to facilitate participatory and inclusive initiatives. </p> <p>The data was gathered across Europe in early 2019 and consists of 90 surveys administered and 17 interviews. 90 surveys were administered to actors working at the intersection of cultural heritage and social innovation. The survey’s goal was to gather insights about the barriers these actors face in the implementation of participatory approaches and the measures adopted to overcome them. Semi-structured interviews (n=17) expanded upon the survey data and were carried out through an opportunistic sample of the survey respondents. The findings provided relevant insights in relation to the configuration of approaches for participatory projects, the main faced barriers, and the achieved level of impact.</p> <p>The original dataset has been processed by removing details and parts that might compromise the anonymity of the participant. </p> <p>This work is supported by the European Union’s Horizon2020 project CultureLabs: Recipes for Social Innovation, under Grant Agreement 770158. The sole responsibility of this work lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.</p> <p> </p>
BIOFRUITNET - Boosting Innovation in Organic FRUIT production through knowledge NETworks - WP2 - Database of ready for practice materials
<p>In the project BIOFRUITNET (Boosting Innovation in Organic FRUIT production through knowledge NETworks, HORIZON 2020 Grant Agreement No. 862850), WP2, a database of technical and scientific publications concerning plant health care have been compiled. The materials in the database were collected by participants in the project (SLU, HortiAdvice, UCPH, GRAB, FIBL, FÖKO, INHORT, VSUO, LAIMBURG, CIHEM-IAMB, ECOVALIA). Materials were chosen for their relevance to organic fruit growers and advisors. The materials in the collection are describing ready for practice methods and tools, covering <strong>stone fruits, pome fruits and citrus fruits</strong>, within the selected main topics: <strong>pests, plant diseases and plant nutrition</strong>. Materials were collected from March to September 2020. The materials are research articles, technical guidelines, advisory material, pamphlets, videos, posters, podcasts etc. Project homepage: <a href="https://biofruitnet.eu/">https://biofruitnet.eu/</a></p>
Innovation Systems & Policy Insight 2_2021 Steering towards transformative change
<p><strong>New Monitoring Evaluation & Learning tools for improving innovation projects transformative potential</strong><br> To achieve systemic impacts, innovation projects require reflexive steering to adapt to new insights or<br> changing circumstances. In MOTION and PROPORTION, AIT researchers collaborated closely with practitioners<br> working on sustainable agriculture and innovative land use management practices. The AIT team<br> supported their work through tools that improve the transformative potential of their innovation activities<br> and helped develop their capacities to promote and steer their project towards systemic and transformative<br> impacts.</p>
'Opening the Future' - a new funding model for open-access monographs: introducing an innovative approach to publishing OA books through library membership funding
<p>We showcase a collaborative pilot case study that implements an innovative open access revenue model at the Central European University Press and Liverpool University Press, with assistance from the COPIM Project (Community-led Open Publication Infrastructures for Monographs). Building on existing library subscription models (e.g. OBP, punctum), this is a sustainable OA publishing model that gives library members access to a highly-regarded backlist, with the membership fees then used to make the frontlist openly accessible.<br> Given the current global library environment and existing budget pressures that have been exacerbated by Covid-19, a consortial model of funding promises a cost-effective solution for OA that means no single institution bears a disproportionate burden. This model, then, appeals to both those who wish to pay for subscription-access content (more traditional university acquisition models) and those who support OA initiatives. It brings many institutions together under one roof for an affordable route to open access books.<br> Library members get access to a selection of the publishers’ backlists, DRM free and with perpetual access after three years. In return, the membership revenue is used to make newly-published books openly accessible to anyone with an internet connection.<br> We believe Opening the Future is a trailblazer in scholarly comms, offering a viable and affordable route to OA change for small/medium university presses and which appeals to libraries of all sizes and budgets. We aim to open up research for the public good. The model that we are piloting reduces inequalities in access to open access publication by eradicating exclusionary book processing charges (BPCs).<br> As we progress with the pilot, we are writing up everything we’ve done to implement the model and will release this and any software as a free toolkit, so that other publishers can use it and also take the leap.</p>
Fintech and Innovation-Data and Command
<p> The compressed file contains the data and commands for the paper. The data file named SampleData.dta contains the data set. The command file named Command.do contains all the execution commands. Please note that the commands interact with the data set.</p>
The Smart City as a Field of Innovation: Effects of Public-Private Data Collaboration on the Innovative Performance of Small and Medium-Sized Enterprises in China
<p>Data is increasingly considered to be a key component in stimulating innovation (Cockburn, Henderson, and Stern, 2019). Numerous promising possibilities have been opened up by rapidly emerging, data-intensive technologies, including the Internet of Things (IoT) and artificial intelligence. The analysis and interpretation of big data are critical in the growth of technology firms in terms of AI training and computing capabilities (Allam and Dhunny, 2019). Small and medium-sized enterprises (SMEs), with their limited resources internally, particularly face a serious challenge of implementing innovation that depends upon data.</p> <p>The smart city provides an important opportunity for creating data-driven innovation. Significant amounts of data are increasingly available from various sources through sophisticated devices and equipment scattered in smart cities. Many smart city projects across the globe provide rich opportunities for SMEs to explore data-driven innovation (Bresciani, Ferraris, and Del Giudice, 2018). China, in particular, has recently been active in collecting and utilizing various kinds of data in smart cities. The availability of and access to data help to improve the software development of firms in China, where massive amounts of data resources are held by the government (Beraja, Yang, and Yuchtman, 2022).</p> <p>In the process of smart city development, there are also many tasks that are complementary to each other, including connecting databases, building online platforms that connect different data coming from different data sources, operating online platforms, and providing products and services to citizens. These diverse kinds of tasks involved in smart city projects initiated by local governments have brought about new business opportunities for innovative SMEs in China. To implement the policies of encouraging the development of SMEs by the central government, municipal governments have introduced policies that give priority to SMEs in participating in smart city projects (Ministry of Industry and Information Technology, 2016). Those companies that have access to the data held by government agencies are expected to benefit from utilizing the rich data for creating innovative products and services.</p> <p>There were few empirical studies conducted, however, to examine how data are actually managed and provided in smart cities and how they affect companies’ innovative activities. It remains unclear how public agencies and private enterprises collaborate on data and how that influences the innovation performance of SMEs in China. In smart cities, different types of public-private collaboration are involved, including hardware purchase, platform building, platform operation, and data analysis. It is not yet well-understood how these different types of collaboration influence the innovative performance of SMEs.</p> <p>In this study, we intend to address how data are managed through collaboration between the government and companies in smart cities and how the mode of collaboration influences firms’ performance on innovation. By focusing on the case of SMEs in China, this research aims to shed light on what kinds of data are available and used in smart cities and how the government and enterprises collaborate on data to facilitate innovation.</p> <p>The analysis of this study utilizes data on more than eight million contracts extracted from the official procurement database of the government. Data on companies are assembled with regard to the registered capital, industry, software products, and patents in 1990-2021 from the Tianyancha website. A panel data is established with key characteristics of SMEs, software and patents outputs, and their record on obtaining different government contracts annually. The government contracts are divided into three categories, namely, data analysis, platform building, and equipment supply, based on keyword identifications. To deal with the unbalance between the treatment group (the companies that obtained government contracts) and the control group, we use propensity score matching (one-to-one nearest neighbor matching) to narrow down the sample size of the control group to that of the treatment group. Then we apply the traditional difference-in-difference (DID) and DID with multiple time periods (Callaway & Sant’Anna, 2021) methods to examine whether there are significant differences in innovative outputs of software products and patents before and after the companies receive government contracts. We also compare how the innovation performance of companies differs based on the types of contracts these companies obtain. That makes it possible to identify what kinds of data collaboration would be effective in improving the innovative performance of SMEs.</p> <p>Our preliminary analysis of average treatment effect suggests that obtaining the government contracts, especially research contracts and platform building type of contracts, can effectively help improve the innovation performance when comparing between the control and treatment group. After checking the common support graph and doing a balance test, the outcome is solid. In general, based on the average treatment effect on the treated group, innovation performance, as measured by the number of patents and software productions, has shown a significant increase for those companies that obtain a research type of contract, whereas the increase is smaller for the platform building contractor and slight for the equipment purchase contractor. Government purchase of equipment that contains data-intensive technologies promotes the use of these products in smart cities. That, however, does not involve any substantive exchange or transfer of data possessed by the government and would not significantly contribute to stimulating innovation at firms.</p> <p>This study will have useful implications for establishing public-private collaboration on data for facilitating innovation in smart cities. Specifically, government procurement should also be viewed as a policy tool for improving China's technological innovation. According to our findings, research and platform development can successfully assist firms in improving their innovation performance. As a result, the government should grant enterprises access to additional data resources and data management related tasks if they want to see more industry structural transformation, as stated in the government documents.</p> <p> </p>
POIs from Open Nature Innovation Arena (Open311 standard)
<p>This dataset has been generated from the Open Nature Innovation Arena according to the Open311 standard. It contains all the point of interests registered from the users into the Open Nature Innovation Arena to publish problems and challenges.</p>
Published ideas in Open Nature Innovation Arena
<p>This dataset has been generated from the Open Nature Innovation Arena. It contains all the ideas published from the users into the Open Nature Innovation Arena.</p>
Data for: Macroevolution in axial morphospace: Innovations accompanying the transition to marine environments in elapid snakes
<p><span>Sea snakes in the <em>Hydrophis</em>-<em>Microcephalophis</em> clade (Elapidae) show exceptional body shape variation along a continuum from similar forebody and hindbody girths, to dramatically reduced girths of the forebody relative to hindbody. The latter is associated with specialisations on burrowing prey. This variation underpins high sympatric diversity and species richness and is not shared by other marine (or terrestrial) snakes. Here, we examined a hypothesis that macroevolutionary changes in axial development contribute to the propensity, at clade level, for body shape change. We quantified variation in the number and size of vertebrae in two body regions (pre- and post-apex of the heart) for ~94 terrestrial and marine elapids. We found <em>Hydrophis</em>-<em>Microcephalophis</em> exhibit increased rates of vertebral evolution in the pre- versus post-apex regions compared to all other Australasian elapids. Unlike other marine and terrestrial elapids, axial elongation in <em>Hydrophis</em>-<em>Microcephalophis</em> occurs via the preferential addition of vertebrae pre heart apex, which is the region that undergoes concomitant shifts in vertebral number and size during transitions along the relative fore- to hindbody girth axis. We suggest that this macroevolutionary developmental change has potentially acted as a key innovation in <em>Hydrophis</em>-<em>Microcephalophis</em> by facilitating novel (especially burrowing) prey specialisations that are not shared with other marine snakes.</span></p>
shemakes activities: record of activities and participation in the learning paths and innovation services.
<p><strong>Shemakes record of activities and participation dataset</strong> contains the number of participants for each event or activity during the project duration collected mainly from the WP2 learning paths and WP3 innovation services, which are the WPs with a high amount of activities and events related to the shemakes development. It does not contain personal or sensitive data, as it is focused on the event's typology. Participants are aggregated per activity. Besides, the dataset includes information about 1) the country where the activity is carried out and 2) it mentions the type of activity and its title. The data about the participants comprises the number of females, whether the females were adults or minors and the percentage of female participants.</p>
Supplementary files: Social learning of innovations in dynamic predator-prey systems
<p>We investigate social transmission of behavioral innovations between predators in two classic predator-prey models. We assume that innovations increase predator attack rates or conversion efficiencies, or that innovations reduce predator mortality or prey handling time. We find that a common outcome of innovations is the destabilization of the system. Destabilizing effects include increasing oscillations or limit cycles. Particularly, in systems where prey are self-limiting and predators have a Type II functional response, destabilization occurs due to overexploitation of the prey. Whenever instability increases the risk of extinction, innovations that benefit individual predators may not have positive long-term effects on predator populations. An additional consequence of instability is the maintenance of behavioral variability among predators. Interestingly, when predator populations are low despite coexisting with prey populations near their carrying capacity, innovations that could help predators better exploit their prey are least likely to spread. Precisely how unlikely this is depends on whether or not naïve individuals need to observe an informed individual interact with prey to learn the innovation. Our results offer perspective on the potential role of innovation in biological invasions, urban colonization, and the maintenance of behavioral polymorphisms.</p>
Data from: Key innovations and the diversification of Hymenoptera
<p>The order Hymenoptera (wasps, ants, sawflies, and bees) represents one of the most diverse animal lineages, but whether specific key innovations have contributed to its diversification is still unknown. We assembled the largest time-calibrated phylogeny of Hymenoptera to date and investigated the origin and possible correlation of particular morphological and behavioral innovations with diversification in the order: the wasp waist of Apocrita; the stinger of Aculeata; parasitoidism, a specialized form of carnivory; and secondary phytophagy, a reversal to plant-feeding. Here, we show that parasitoidism has been the dominant strategy since the Late Triassic in Hymenoptera but was not an immediate driver of diversification. Instead, transitions to secondary phytophagy (from parasitoidism) had a major influence on diversification rate in Hymenoptera. Support for the stinger and the wasp waist as key innovations remains equivocal, but these traits may have laid the anatomical and behavioral foundations for adaptations more directly associated with diversification.</p>
Data for: Is the hyoid a constraint on innovation? A study in convergence driving feeding in fish-shaped marine tetrapods
<p><span>The hyoid apparatus is essential for underwater feeding in marine tetrapods, but it is unclear whether this complex has evolved as convergently as other traits, such as dentition or locomotion. Here we compare the ossified hyoid elements in ophthalmosaurid ichthyosaurs and odontocete cetaceans, two groups with an overall similar body shape, to understand whether the hyoid elements show any signs of convergence in the context of feeding. We examined three types of data (size, morphology, and internal bone microstructure) in ophthalmosaurid and odontocete taxa in which these elements are preserved. Our data show that ichthyosaurs never experienced a shift in feeding mode, which might indicate that their hyoid apparatus never adapted to suction feeding. Also, the internal microstructure of the two animal groups differs, where the odontocetes have an overall less compact structure, ophthalmosaurid ichthyosaurs have cancellous inner cones in an outer, more compact sheath. These differences are likely explained as biomechanical adaptations to different feeding modes. Thus, the hyoid changed less, and acted more as a constraint for feeding innovation in ichthyosaurs compared to cetaceans, and through a much longer time span (over 150 million years). </span></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.