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1,891 results for “Field data”
Large eddy simulation input data for publication "Pressure fields in the airflow over wind-generated surface waves" by Funke et al.
<p>Input files allow for the simulation of a turbulent flow over a sinusoidal surface using the PALM LES model, version 6.0, revision 4901.</p>
Figure 5 in Testing concordance in species boundaries using acoustic, morphological, and molecular data in the field cricket genus Itaropsis (Orthoptera: Grylloidea, Gryllidae: Gryllinae)
Figure 5. Phylogeny of Itaropsis obtained from Bayesian analysis of combined morphological, mitochondrial, and nuclear data sets. Abbreviations as in Figure 4.
Figure 4 in Testing concordance in species boundaries using acoustic, morphological, and molecular data in the field cricket genus Itaropsis (Orthoptera: Grylloidea, Gryllidae: Gryllinae)
Figure 4. Phylogenetic trees of Itaropsis resulting from analysis of morphological and molecular data. A, cladogram obtained with morphological characters (one tree, length 120 steps, CI 41, RI 51); B, phylogenetic tree obtained from Bayesian analysis of mitochondrial data sets for 19 terminals; C, phylogenetic tree obtained from Bayesian analysis of nuclear data sets for 17 terminals. Abbreviations: B, Bombay–Bangalore cluster; K, Kadari cluster; V, Valparai cluster.
Figure 3 in Testing concordance in species boundaries using acoustic, morphological, and molecular data in the field cricket genus Itaropsis (Orthoptera: Grylloidea, Gryllidae: Gryllinae)
Figure 3. Dendrogram based on four song features: call duration, syllable duration, syllable period and dominant frequency for individuals of the five song types of Itaropsis. Closed circles, Valparai chirper; closed triangles, Kadari chirper; open triangles, Kadari triller; open squares, Bangalore triller; open circles, Bombay triller.
Figure 1 in Testing concordance in species boundaries using acoustic, morphological, and molecular data in the field cricket genus Itaropsis (Orthoptera: Grylloidea, Gryllidae: Gryllinae)
Figure 1. Map showing the four sampling sites for Itaropsis in peninsular India (black dots), together with the localities where the presence of Itaropsis has been acknowledged in the past (grey squares) and main biogeographical units (Palghat gap, Palk strait). Cricket picture courtesy of Ashok Kumar Mallik, CES, IISc, Bangalore, India.
Derived data for: "Variability of the interplanetary magnetic field as a driver of electromagnetic induction in Mercury's interior"
<p>Derived data for "Variability of the interplanetary magnetic field as a driver of electromagnetic induction in Mercury’s interior", accepted for publication in the Journal of Geophysical Research: Space Physics.</p>
Adopt a Pixel 3 km: A Multiscale Data Set Linking Remotely Sensed Land Cover Imagery with Field Based Citizen Science Observation
<p>These datasets were used in an article submitted to the journal Frontiers in Climate in 2021: <a href="https://www.frontiersin.org/articles/10.3389/fclim.2021.658063/full">https://www.frontiersin.org/articles/10.3389/fclim.2021.658063/full</a></p> <p>Further supplemental links (including general information about GLOBE data) can be accessed at <a href="https://observer.globe.gov/get-data/mosquito-habitat-data">https://observer.globe.gov/get-data/mosquito-habitat-data</a>.</p>
Data for Statistics on Jupiter's Current Sheet with Juno Data: Geometry, Magnetic Fields and Energetic Particles
<p>The statistical data of paper "Statistics on Jupiter’s Current Sheet with Juno Data: Geometry, Magnetic Fields and Energetic Particles"</p>
Radiation and Spontaneous Annealing of Radiation-sensitive Field-effect Transistors with Gate Oxide Thicknesses of 400 and 1000 nm (raw data from journal article)
<p>This upload contains raw data from the manuscript "Radiation and Spontaneous Annealing of Radiation-sensitive Field-effect Transistors with Gate Oxide Thicknesses of 400 and 1000 nm". The manuscript was published in Sensors and Materials, Vol. 33, No. 6 (2021) 2109–2116; DOI: https://doi.org/10.18494/SAM.2021.3425</p> <p>The upload consists of .pdf file of the manuscript and .opj files with raw data related to the figures in the manuscript. </p> <p>This work was supported in part by the European Union’s Horizon 2020 research and innovation programme (Grant No. 857558) and the Ministry of Education, Science and Technology Development of the Republic of Serbia (Project No. 43011).</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>The Smart City as a Field of Innovation: Effects of Public-Private Data Collaboration on the Innovative Performance of Small and Medium-Sized Enterprises</p> <p><strong>in China</strong></p> <p> </p> <p>Xiaohui Jiang<sup>1</sup>, Masaru Yarime<sup>1*</sup></p> <p><sup>1</sup> Division of Public Policy, The Hong Kong University of Science and Technology</p> <p>E-mail: <a href="mailto:yarime@ust.hk">yarime@ust.hk</a></p> <p> </p> <p><em>Keywords: Smart city, China, Data-driven innovation, Small and medium-sized enterprise, Public-private collaboration</em></p> <p> </p> <p>Extended Abstract</p> <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> <p>References</p> <p>Allam, Z. and Z. A. Dhunny (2019). "On big data, artificial intelligence and smart cities."</p> <p><em>Cities</em>, <strong>89</strong>, 80-91.</p> <p>Beraja, Martin, David Y. Yang, and Noam Yuchtman (2022). "Data-intensive Innovation and the State: Evidence from AI Firms in China." Working Paper, January 11.</p> <p>Bresciani, S., A. Ferraris, and M. Del Giudice (2018). "The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects." <em>Technological Forecasting and Social Change</em>, <strong>136</strong>, 331-338.</p> <p>Callaway, B., & Sant’Anna, P. H. (2021). Difference-in-differences with multiple time. periods. Journal of Econometrics, 225(2), 200-230.</p> <p>Cockburn, Ian M., Rebecca Henderson, and Scott Stern (2019). "The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis," Agrawal, Ajay, Joshua Gans, and Avi Goldfarb, eds. <em>The Economics of Artificial Intelligence: An Agenda</em>. Chicago: The University of Chicago Press.</p> <p>Ministry of Industry and Information Technology (2016). "The "Plan for Promoting the Development of Small and Medium-sized Enterprises (2016-2020)" was officially released, and promoting entrepreneurship and innovation will become a key task." Ministry of Industry and Information Technology, Beijing, China, June 28.</p>
Primary N2-He gas field formation in intracratonic sedimentary basins - Extended Data Tables
<p>Extended Data Tables for manuscript 'Primary N2-He gas field formation in intracratonic sedimentary basins'</p>
Data from: Application of Spatial-ID to large field mouse brain hemisphere dataset measured by Stereo-seq
<p>The application of Spatial-ID on the large field mouse brain hemisphere dataset measured by Stereo-seq technology. Briefly, three adjacent coronal sections along the anterior-posterior axis were cut from the brain 5-week-old male mouse. It fully proves the innovation and applicability of Spatial-ID.</p>
Derived data for: 'Modelling the Time-Dependent Magnetic Fields that BepiColombo will use to Probe Down into Mercury's Mantle'
<p>Derived data for the manuscript entitled 'Modelling the Time-Dependent Magnetic Fields that BepiColombo will use to Probe Down into Mercury’s Mantle'.</p>
Supplementary Data for: Life history in primate teeth is revealed by changes in major and minor element concentrations measured via field-emission SEM-EDS analysis
<p>Overcoming the non-specificity of histological accentuated growth lines in hard tissues is an ongoing challenge. Identifying season at death and reproductive events has profound implications for evolutionary, ecological and conservation studies. Dental cementum is a mineralized tissue with yearly periodicity that continues deposition from tooth formation until death, maintaining a record spanning almost the entire life of an individual. Recent work has successfully employed elemental analysis of calcified incremental tissues to detect changes in extrinsic conditions such as diet and climate and to identify two important life history milestones: weaning and sexual maturity. Here, we employ field-emission scanning electron microscopy and energy-dispersive X-ray analysis to measure the relative concentrations of calcium, phosphorous, oxygen, magnesium and sodium in the cementum of 34 teeth from seven male and female rhesus macaques with known medical and life history information. We find that changes in relative magnesium concentrations correspond with reproductive events in females and breastfeeding in infants. Additionally, we observe seasonal calcium patterns in 77.3% of the samples.</p>
Data for Field evidence for Asian outflow and fast depletion of total gaseous mercury in the polluted coastal atmosphere
<p>Hourly data of TGM at Tai Mo Shan in Hong Kong</p>
Data supplement for "Nonreciprocity induces resonances in two-field Cahn-Hilliard model".
<p>Mathematica notebooks that support the weakly nonlinear analysis and the codes that create all figures in "Nonreciprocity induces resonances in two-field Cahn-Hilliard model".</p> <p>".</p>
Data set for phase-field simulation of epitaxial crystal growth in open fractures with lateral flow
<p>The numerical data in this repository consists of the simulation data of epitaxial crystal growth in open fractures with lateral flow. The simulations were performed using the software package named "Pace3D".</p> <p>The simulation data shows the grain structure, the concentration field and the fluid flow velocity in stream direction (if present) at intermediate stages. It was converted from the Pace3D output data format to VTK data format. The VTK files can be visualized using open source software packages like Paraview. For visualization the data has to be decompressed (e.g. with gzip, 7zip).</p>
Data from: No evidence for impaired solitary bee fitness following pre-flowering sulfoxaflor application alone or in combination with a common fungicide in a semi-field experiment
<p class="MsoNormal"><span>Pesticide exposure is considered a major driver of pollinator decline and the use of neonicotinoid insecticides has been restricted by regulatory authorities due to their risks for pollinators. Impacts of new alternative sulfoximine-based compounds on solitary bees and their potential interactive effects with other commonly applied pesticides in agriculture remain unclear. Here, we conducted a highly replicated full-factorial semi-field experiment with the solitary bee <em>Osmia bicornis</em>, an important pollinator of crops and wild plants in Europe, and <em>Phacelia tanacetifolia</em> as a model crop. We show that spray applications of the insecticide sulfoxaflor (product Closer) and the fungicide azoxystrobin (product Amistar), both alone and combined, had no significant negative impacts on adult female survival or the production, mortality, sex ratio and body size of offspring when sulfoxaflor was applied five days before crop flowering. Our results indicate that for <em>O. bicornis</em> (1) the risk of adverse impacts of sulfoxaflor (Closer) on fitness is small when applied at least five days before crop flowering and (2) that azoxystrobin (Amistar) has a low potential of exacerbating sulfoxaflor effects under field-realistic conditions.</span></p>
Butterfly nectar foraging and flowering plant community data from field surveys in Victoria, British Columbia, Canada
<p>The negative impacts of non-native species have been well documented, but some non-natives can play a positive role in native ecosystems. One way that non-native plants can positively interact with native butterflies is by provisioning nectar. Relatively little is known about the role of phenology in determining native butterfly visitation to non-native plants for nectar, yet flowering time directly controls nectar availability. Here, we investigate the phenological patterns of flowering by native and non-native plants and nectar foraging by native butterflies in an oak savanna on Vancouver Island, British Columbia, Canada. We also test whether native butterflies select nectar sources in proportion to their availability. We found that non-native plants were well integrated into butterfly nectar diets (83% of foraging observations) and that visitation to non-natives increased later in the season when native plants were no longer flowering. We also found that butterflies selected non-native flowers more often than expected based on their availability, suggesting that these plants represent a potentially valuable resource. Our study shows that non-native species have the potential to drive key species interactions in seasonal ecosystems. Management regimes focused on eradicating non-native species may need to re-consider their aims and evaluate resources that non-natives provide.</p>
Data for: Proximity to oilseed rape fields affects plant pollination and pollinator-mediated selection on a co-flowering plant on the Tibetan Plateau
<p><span>The ecological effects of mass-flowering crops on pollinator abundance and species richness of neighboring habitats are well established, yet the potential evolutionary consequences remain unclear. We studied effects of proximity to a mass-flowering crop on the pollination of local co-flowering plants, and on patterns of natural selection on a pollination-generalized plant on the Tibetan Plateau. We recorded pollinator visitation rates and community composition at different distances (near vs. far) to oilseed rape (Brassica napus) fields in two habitat types, and quantified pollinator-mediated selection on attractive traits of Trollius ranunculoides. The proximity to oilseed rape increased pollinator visitation in neighboring alpine meadows and changed pollinator composition in neighboring shrub meadows. Trollius ranunculoides in the alpine meadow near oilseed rape received three times more pollinator visits (mainly bees), and consequently had a 16.5% increase in seed set, but also received slightly more heterospecific pollen per stigma. In contrast, pollinator visitation to T. ranunculoides in the shrub meadow near oilseed rape was three times lower (mainly flies), leading to 10.7% lower seed despite no effect on pollen deposition. The proximity to the oilseed rape field intensified pollinator-mediated selection on flower size and weakened selection on flower height of T. ranunculoides in the alpine meadow but did not affect phenotypic selection on either trait in the shrub meadow. Our study highlights context-dependent variation in plant-pollinator interactions close to mass-flowering oilseed rape, suggesting potential effects on the evolution of flower traits of native plants through altered pollinator-mediated selection. However, context dependence may make these effects difficult to predict.</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.