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3,172 results for “Publications”

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zenodo32/100

Supplementary data to publication "Cellular detection of the chemokine receptor CXCR4 in bovine mammary glands and its distribution and regulation on bovine leukocytes"

<p>Supplementary data to publication &quot;Cellular detection of the chemokine receptor CXCR4 in bovine mammary glands and its distribution and regulation on bovine leukocytes&quot; in Journal of Dairy Science; https://doi.org/10.3168/jds.2021-20799</p>

opencc-by-4.0Oct 2021View details →
zenodo32/100

Open citations involving Computer Science publications listed in DBLP

<p>Data used in the presentation &quot;Open citations in Informatics&quot; held during ECSS 2021. It includes six different files obtained using the software available at <a href="https://github.com/essepuntato/ecss-2021">https://github.com/essepuntato/ecss-2021</a>.</p>

opencc-zeroOct 2021View details →
zenodo32/100

Identifiers in source code extracted from 13,000,000 public GitHub repositories (October 2016)

<p>101 files, indexed LZO archives for Hadoop/Spark.<br> Each file is text lines with the format:</p> <p>(‘&lt;GitHub repo name&gt;', [(‘&lt;name&gt;', &lt;count&gt;),(‘&lt;name&gt;', &lt;count&gt;),(‘&lt;name&gt;', &lt;count&gt;)])</p> <p> </p>

opencc-by-nc-4.0Dec 2016View details →
zenodo32/100

Supplementary material 3 from: Harrington LA, D'Cruze N, Macdonald DW (2018) Rise to fame: events, media activity and public interest in pangolins and pangolin trade, 2005–2016. Nature Conservation 30: 107-133. https://doi.org/10.3897/natureconservation.30.28651

Collated datasets : Explanation note: Annual Facebook posts and news articles, 2005–2016; monthly Google Trends, 2005–2016 (including daily Wikipedia July 2015 – December 2016); weekly Google Trends, 2015–2016; daily Facebook posts and news articles, 2015–2016.

opencc-zeroDec 2018View details →
zenodo32/100

Supplementary material 2 from: Harrington LA, D'Cruze N, Macdonald DW (2018) Rise to fame: events, media activity and public interest in pangolins and pangolin trade, 2005–2016. Nature Conservation 30: 107-133. https://doi.org/10.3897/natureconservation.30.28651

News articles. Complete text of all news articles retrieved from Nexis UK under the search term 'pangolin', January 2005 – December 2016 :

opencc-zeroDec 2018View details →
zenodo32/100

Supplementary material 1 from: Harrington LA, D'Cruze N, Macdonald DW (2018) Rise to fame: events, media activity and public interest in pangolins and pangolin trade, 2005–2016. Nature Conservation 30: 107-133. https://doi.org/10.3897/natureconservation.30.28651

Facebook posts : Explanation note: Posters, date and number of comments, likes and shares, for all Facebook posts, 2005–2016, under the search term 'pangolin wildlife trade' (note that the first post on 'pangolin wildlife trade' was posted in 2008).

opencc-zeroDec 2018View details →
zenodo32/100

ALSPAC peer reviewed publications 1989-2015

<p>List of peer reviewed publications generated from the Avon Longitudinal Study of Parents and Children (ALSPAC) data from 1989 to the end of 2015.</p>

opencc-by-4.0Dec 2018View details →
zenodo32/100

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>&nbsp;</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>&nbsp;</p> <p><em>Keywords: Smart city, China, Data-driven innovation, Small and medium-sized enterprise, Public-private collaboration</em></p> <p>&nbsp;</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&rsquo; 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&rsquo; 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 &nbsp;DID with multiple time periods (Callaway &amp; Sant&rsquo;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&#39;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>&nbsp;</p> <p>References</p> <p>Allam, Z. and Z. A. Dhunny (2019). &quot;On big data, artificial intelligence and smart cities.&quot;</p> <p><em>Cities</em>, <strong>89</strong>, 80-91.</p> <p>Beraja, Martin, David Y. Yang, and Noam Yuchtman (2022). &quot;Data-intensive Innovation and the State: Evidence from AI Firms in China.&quot; Working Paper, January 11.</p> <p>Bresciani, S., A. Ferraris, and M. Del Giudice (2018). &quot;The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects.&quot; <em>Technological Forecasting and Social Change</em>, <strong>136</strong>, 331-338.</p> <p>Callaway, B., &amp; Sant&rsquo;Anna, P. H. (2021). Difference-in-differences with multiple time.&nbsp;&nbsp; periods.&nbsp;Journal of Econometrics,&nbsp;225(2), 200-230.</p> <p>Cockburn, Ian M., Rebecca Henderson, and Scott Stern (2019). &quot;The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis,&quot; 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). &quot;The &quot;Plan for Promoting the Development of Small and Medium-sized Enterprises (2016-2020)&quot; was officially released, and promoting entrepreneurship and innovation will become a key task.&quot; Ministry of Industry and Information Technology, Beijing, China, June 28.</p>

opencc-by-4.0Oct 2022View details →
zenodo32/100

Health-promoting lifestyle behavior and its associated factors among pregnant women attending antenatal care service in public health institutions of Debre Markos town, Ethiopia

<p>Here is the dataset for the manuscripit entitled &quot;Health-promoting lifestyle and related factors among pregnant women at public health institutions in Debre Markos, Ethiopia&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

Dataset to manuscript "Trans-cis isomerization kinetics of cyanine dyes reports on the folding states of exogeneous RNA G-quadruplexes in live cells" accepted for publication in Nucleic Acids Research

<p><strong>This folder contains all raw data underlying the results presented in a manuscript, accepted for publication in&nbsp;Nucleic Acids Research, and entitled:</strong></p> <p>&nbsp;</p> <p><strong><em>Trans</em></strong><strong>-<em>cis</em> isomerization kinetics of cyanine dyes reports on the folding states of exogeneous RNA G-quadruplexes in live cells </strong></p> <p>&nbsp;</p> <p><strong>Authored by:</strong></p> <p>Akira Kitamura<sup>2,*</sup>, Johan Tornmalm<sup>1,*</sup>, Baris Demirbay<sup>1</sup>,&nbsp; Joachim Piguet<sup>1</sup>, Masataka Kinjo<sup>2</sup>, Jerker Widengren<sup>1+</sup></p> <p>&nbsp;</p> <p><sup>1</sup> Experimental Biomolecular Physics, Department of Applied Physics, Royal Institute of Technology (KTH), Stockholm, Sweden</p> <p><sup>2</sup> Laboratory of Molecular Cell Dynamics, Faculty of Advanced Life Science, Hokkaido University, Sapporo, Japan</p> <p><sup>*&nbsp; </sup>Contributed equally</p> <p><sup>+</sup> To whom correspondence should be addressed. Email: jwideng@kth.se. Tel: +46-8-7907813</p> <p>&nbsp;</p> <p><strong>The data files are grouped into the different techniques used to generate them, and refer to the figures/tables in the manuscript where the extracted results are presented. </strong></p> <p>&nbsp;</p> <p><strong>ABSTRACT</strong></p> <p>Guanine (G)-rich nucleic acids are prone to assemble into four-stranded structures, so-called G-quadruplexes. Abnormal GGGGCC repeat elongations, and in particular their folding states, are associated with amyotrophic lateral sclerosis and frontotemporal dementia. Due to methodological constraints however, most studies of G quadruplex structures are restricted to <em>in vitro</em> conditions. Evidence of how GGGGCC repeats form into G-quadruplexes <em>in vivo</em> is sparse. We devised a readout strategy, exploiting the sensitivity of <em>trans</em>-<em>cis</em> isomerization of cyanine dyes to local viscosity and sterical constraints. Thereby, folding states of cyanine-labeled RNA, and in particular G-quadruplexes, can be identified in a sensitive manner. The isomerization kinetics, monitored via fluorescence blinking generated upon transitions between a fluorescent <em>trans</em> isomer and a non-fluorescent <em>cis</em> isomer, was first characterized for RNA with GGGGCC repeats in aqueous solution using fluorescence correlation spectroscopy and transient state (TRAST) monitoring. With TRAST, monitoring the isomerization kinetics from how the average fluorescence intensity varies with laser excitation modulation characteristics, we could then detect folding states of fluorescently tagged RNA introduced into live cells.</p>

opencc-by-4.0Mar 2021View details →
zenodo32/100

Optimization used in in the publication scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data

<p>OptimizationResults contain the expanded input model&nbsp;for each data set, in the C field are the indices of the core reactions in the expanded input model used to build the multi-cell population for the 121 different parameters, A contains the indices of reaction in the multi-cell population model&nbsp;for the 121 runs, thresh the parameter setting for the cover and REI. The REI is given in %. So 5 REI means 0.05. While A might change because of alternative optimals when run on a different computer, C and the expanded Input model will remain unchanged.</p> <p>&nbsp;</p> <p>Multi_cell_population_CRC and&nbsp; Multi_cell_population_NM&nbsp; are the models obtained by scFASTCORMICS with the optimal setting for Dataset1 and Dataset2, respectively.&nbsp;</p> <p>Please, check the publication&nbsp; (scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data) for more details.</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

Reproduction package for publication 'Testing afterglow models of FRB 200428 with early post-burst observations of SGR 1935+2154'

<p>The scripts in this&nbsp;package allows for the reproduction of all figures and data within the publication. Observing data can be found in the LOFAR long-term archive. For further information about reproducing figures pertaining to observing data please contact the authors.&nbsp;</p> <p>X-ray data pertaining to Figure 4 is available from the public reproduction packages of the relevant cited publications.&nbsp;</p>

opencc-by-4.0Nov 2022View details →
dryad32/100

Corporatization, administrative intensity and the performance of public sector organizations

<p><span>The process of corporatization in public services has led to the emergence of new, more autonomous organizational forms. However, while these reforms have been centrally about the development of management capabilities in public sector organizations, we know surprisingly little about what this process involves. To address this concern, we draw on the literature on administrative intensity (AI) to frame hypotheses about the likely relationship between corporatization and investments in management and administration, and the consequences of these investments for performance. As an empirical case, we then focus on the effects of Foundation Trust status on AI and efficiency, effectiveness and responsiveness in the acute care hospital sector in the English NHS. Based on a database of nine years (2008/09–2016/17) and dynamic panel data regressions, the results show that corporatization leads to a leaner administration and improved organizational efficiency, effectiveness and responsiveness. In addition, the analysis reveals that lower levels of AI positively mediate the relationship between corporatization and performance, although only in relation to the efficiency </span><span>dimension</span><span>. These findings highlight the crucial, but previously misunderstood, importance of lean administration as part of the corporatization reform package, with implications for </span><span>theory, </span><span>research and policy.</span></p>

opencc-zeroNov 2022View details →
zenodo32/100

Data for DESI Publication DESI-2022-0160: DESI Survey Validation Spectra Reveal an Increasing Fraction of Recently Quenched Galaxies at z~1

<p>This folder contains all the data on figures for DESI Publication&nbsp;DESI-2022-0160, which is about to be sent to final reading.</p>

opencc-by-4.0Nov 2022View details →
dryad32/100

Study of the medical service efficiency of county-level public general hospitals based on medical quality constraints: A cross-sectional study

<p><strong>Objectives:</strong> Since the new medical reform in 2009, county-level hospitals in China have achieved rapid development, but health resource waste and shortage issues still exist.</p> <p><strong>Design</strong>: We applied the Meta-frontier and SBM-undesirable(Slacks-based Measurement-undesirable) DEA(Data Envelopment Analysis) model to measure the medical service efficiency with or without medical quality constraints of the county-level public general hospitals (CPGHs). The assessment includes four inputs, three desirable outputs, and one undesirable output. We conducted the assessment via Max-DEA V.8.19 software. Moreover, we analyze the factors affecting CPGHs' medical service efficiency based on the FRM model. </p> <p><strong>Setting:</strong> A total of 77 sample CPGHs were selected from Shanxi province in China from 2013 to 2018.</p> <p><strong>Results</strong>: The results of this study showed that the efficiency level of county-level public hospitals in Shanxi Province is relatively low overall (the mean value of efficiency is 0.61 without quality constraints and 0.63 under quality constraints). This showed that ignoring medical quality constraints will result in lower efficiency and lower health resource utilization for high-medical-quality hospitals. The medical service efficiency of CPGHs differs greatly among different regions. Under the meta-frontier, the hospitals in the central region had the highest efficiency (efficiency score 0.70), followed by those in the south (efficiency score 0.63), and the hospitals in the north had the lowest efficiency (efficiency score 0.54). Factors that have larger impacts on the service efficiency of county public hospitals are the average length of hospital stay, per capita disposable income and financial subsidy income.</p> <p><strong>Conclusions</strong>: To improve CPGHs' medical service efficiency, the government should increase investment in the northern region, and hospitals should improve the management level and allocate human resources rationally.</p>

opencc-zeroNov 2022View details →
zenodo32/100

Public Profile Settings (TRIPLE Video Tutorial Series)

<p>In this tutorial series, researcher Agnieszka Szulińska and Research Infrastructure Coordinator Edward Gray discuss gotriple.eu. This episode explores the opportunities GoTriple offers for the creation of a public profile.</p> <p>Video recorded and edited by Fabian Fess.</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

ingewortel/2022-listeria-goblets: code & raw data files for publication

<p>Repository with code and raw data at the stage of publication. The repository contains mostly code, but also some raw data files used to generate the data figures of the manuscript. The repository is self-sufficient to reproduce all the simulations and data analyses performed. See the README files for further details.</p>

openother-atDec 2022View details →
zenodo32/100

Dataset of the publication "Theory and Experimental Validation of Two Techniques for Compensating VT Nonlinearities"

<p>This is a dataset for paper published:</p> <p>G. D&rsquo;Avanzo&nbsp;<em>et al</em>., &quot;Theory and Experimental Validation of Two Techniques for Compensating VT Nonlinearities,&quot; in&nbsp;<em>IEEE Transactions on Instrumentation and Measurement</em>, vol. 71, pp. 1-12, 2022, Art no. 9001312, doi: 10.1109/TIM.2022.3147883.</p> <p>&nbsp;</p> <p>Excel file provides data for VT_B.</p>

opencc-by-4.0Feb 2022View details →
zenodo32/100

Dataset for the publication "Impact of DC Transient Disturbances on Harmonic Performance of Voltage Transformers for AC Railway Applications"

<p>This is dataset for paper published:</p> <p>Letizia, P.S.; Signorino, D.; Crotti, G. Impact of DC Transient Disturbances on Harmonic Performance of Voltage Transformers for AC Railway Applications.&nbsp;<em>Sensors</em>&nbsp;<strong>2022</strong>,&nbsp;<em>22</em>, 2270. https://doi.org/10.3390/s22062270</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

Dataset supporting publication: "Environmental sustainability and Energy Efficiency in Historical Buildings: GeoFit Project Implementation in the Case Study of a medieval fortress in Perugia"

<p>Dataset supporting publication:&ldquo;Environmental sustainability and Energy Efficiency in Historical Buildings: GeoFit Project Implementation in the Case Study of a medieval fortress in Perugia&rdquo;&nbsp; (publication available for download:&nbsp;<a href="https://zenodo.org/record/7435513">GEOFIT Zenodo</a>)</p> <p>Italian cities are mainly constituted by buildings constructed until the mid-20th century by pre-industrial construction techniques. A HVAC system for the energy retrofit of historical buildings is evaluated when applied in the case study of Sant&rsquo;Apollinare. It consists of a ground source heat pump a water tank for thermal energy storage connected to a low-temperature radiant system and air handling unit. The building thermal-energy behavior, typically influenced by thermal inertia in historical buildings, and the novel HVAC system performance interactions are comparatively assessed together with more traditional scenarios. Energy demand decreases by about one third compared to the pre-retrofit situation.</p>

opencc-by-4.0Dec 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.