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Dataset results
31 results for “operations research”
WKU experimental epidemic game using research version of Operation Outbreak app
<p>This dataset contains the full list of participants and events in the experimental epidemic game at Wenzhou-Kean University (WKU) in China, run between November 20 and December 4 of 2023 using a customized version of the Operation Outbreak mobile app and cloud backend for research uses. The following blog post provides some more information about this simulation:</p> <p>https://colabobio.medium.com/667295c43907</p> <p> </p>
Research data for Critical review of heat pump prototype operation and required modications
<p>In this dataset, the data of the first experimental test campaign of the CO2-ice heat pump is shared. The report, which analyzes the data and makes the necessary explanations, has already been shared as a "Critical review of heat pump prototype operation and required modifications (Deliverable: D5.5)".</p>
Alcohol Screening and Pre-Operative Intervention Research Study
ClinicalTrials.gov study NCT03929562. IPD Sharing: YES. Countries: 1. Publications: 1.
Data-set for "Reliability and operation cost of underdamped memories during cyclic erasures" (Research Article, No. apxr.202300074) to Advanced Physics Research.
<p><strong>Dataset for the article: "Reliability and operation cost of underdamped memories during cyclic erasures" (Research Article, No. apxr.202300074) to Advanced Physics Research. </strong></p> <ul> <li><strong>FigX.fig: </strong>Matlab format figure source used to draw all of the plots of the article, embedding the all data.</li> <li><strong>evolution_K.m:</strong> Matlab code file that implement the Repeated Erasure model and compute the success rate of the erasure from the temperature evolution computed from the model.</li> <li><strong>Model_Landauer_enchaine.m:</strong> Matlab code file. Function which uses the SE Model to calculate the evolution of all the energy quantities (average) during step 1 and step 2 starting at an initial temperature CI, and also renders the final temperature conditions to be used iteratively in the RE Model.</li> <li><strong>Toy_Model.m: </strong>Theoretical toy model for explaning the Landauer repeted erasures temperature evolution.</li> <li><strong>Analysis_repeated_erasure.m:</strong> Matlab code file to treat raw data .mat files of 45 repeated erasures to compute the energy, work and heat evolution. The average is done on the full raw data samples corresponding to thousands of 45 repeated erasures.</li> <li><strong>XmsRawData.zip:</strong> Raw data of 45 repeated erasures of duration X ms each. Those Matlab data files are meant to be analysed with the Analysis_repeated_erasure code. Among the usefull variables contained in those files we identifiy :</li> </ul> <ol> <li>V: applied protocol, position of center of the wells in nm</li> <li>x: position signal in nm</li> <li>sigma_m: calibration of the standard deviation used by the feedback</li> <li>x0: threshold of the virtual potential</li> <li>tau1: duration of step1</li> <li>tau2: duration of step 2</li> <li>tau4: half resting time between step1 and step2</li> <li>X1: initial half distance between the wells</li> <li>dt: acquisition sampling time</li> </ol> <p><br> </p> <p> </p>
Research data of variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations
<ul> <li>This is the repository for the paper "<a href="https://www.sciencedirect.com/science/article/pii/S0022509624001807">Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations</a>" (accepted by <a href="https://www.sciencedirect.com/journal/journal-of-the-mechanics-and-physics-of-solids">Journal of the Mechanics and Physics of Solids</a>). Please refer <code>README.md</code> for detailed instructions to reproduce our experiments.</li> <li> <div>This work was supported by National Key Research and Development Program of China (2023YFB3306700 and 2021YFF0306404), and National Natural Science Foundation of China (U2341233 and U21A20429).</div> </li> <li>If you have any technical problems to report or interesting ideas to share, feel free to drop a issue at <a href="https://github.com/BraveDrXuTF/VOL/issues">this issue board.</a> <a href="https://bravedrxutf.github.io/">The first author of this work</a> is now actively seeking full-time internship opportunities and a doctoral position in AI4science, and if you are interested in collaborating with him, kindly consider <a href="mailto:3285935860@qq.com">drop him an email.</a></li> <li>Note: all data and codes in this repository are distributed under <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">CC BY-NC-SA 4.0,</a> and related algorithms are patent-protected. If you want to use materials in this repository for commercial purposes, please contact <a href="mailto:haopeng@dlut.edu.cn">haopeng@dlut.edu.cn</a>.</li> </ul>
Operations Research of the 'Real World' Effectiveness of Multi-Month Dispensing of ART for Stable Patients in CARGs in Zimbabwe
ClinicalTrials.gov study NCT03238846. IPD Sharing: NO. Countries: 1. Publications: 4.
Operational Research for Cryptococcal Antigen Screening
ClinicalTrials.gov study NCT01535469. IPD Sharing: YES. Countries: 1. Publications: 3.
Research on Hybrid Operation Technique in the Treatment of Complex Brain Arteriovenous Malformations
ClinicalTrials.gov study NCT03774017. IPD Sharing: NO. Countries: 1. Publications: 2.
Antagonism Research Between Antiemetics Agents and Acetaminophen in Thyroidectomy's Post-operative Analgesia.
ClinicalTrials.gov study NCT01679093. IPD Sharing: NO. Countries: 1. Publications: 19.
Data from: An operational definition of the biome for global change research
Open the record for dataset details and reuse information.
Data of the article "Journal research data sharing policies: a study of highly-cited journals in neuroscience, physics, and operations research"
<p>The journals’ author guidelines and/or editorial policies were examined on whether they take a stance with regard to the availability of the underlying data of the submitted article. The mere explicated possibility of providing supplementary material along with the submitted article was not considered as a research data policy in the present study. Furthermore, the present article excluded source codes or algorithms from the scope of the paper and thus policies related to them are not included in the analysis of the present article.</p> <p>For selection of journals within the field of neurosciences, Clarivate Analytics’ InCites Journal Citation Reports database was searched using categories of neurosciences and neuroimaging. From the results, journals with the 40 highest Impact Factor (for the year 2017) indicators were extracted for scrutiny of research data policies. Respectively, the selection journals within the field of physics was created by performing a similar search with the categories of physics, applied; physics, atomic, molecular & chemical; physics, condensed matter; physics, fluids & plasmas; physics, mathematical; physics, multidisciplinary; physics, nuclear and physics, particles & fields. From the results, journals with the 40 highest Impact Factor indicators were again extracted for scrutiny. Similarly, the 40 journals representing the field of operations research were extracted by using the search category of operations research and management. </p> <p>Journal-specific data policies were sought from journal specific websites providing journal specific author guidelines or editorial policies. Within the present study, the examination of journal data policies was done in May 2019. The primary data source was journal-specific author guidelines. If journal guidelines explicitly linked to the publisher’s general policy with regard to research data, these were used in the analyses of the present article. If journal-specific research data policy, or lack of, was inconsistent with the publisher’s general policies, the journal-specific policies and guidelines were prioritized and used in the present article’s data. If journals’ author guidelines were not openly available online due to, e.g., accepting submissions on an invite-only basis, the journal was not included in the data of the present article. Also journals that exclusively publish review articles were excluded and replaced with the journal having the next highest Impact Factor indicator so that each set representing the three field of sciences consisted of 40 journals. The final data thus consisted of 120 journals in total. </p> <p>‘Public deposition’ refers to a scenario where researcher deposits data to a public repository and thus gives the administrative role of the data to the receiving repository. ‘Scientific sharing’ refers to a scenario where researcher administers his or her data locally and by request provides it to interested reader. Note that none of the journals examined in the present article required that all data types underlying a submitted work should be deposited into a public data repositories. However, some journals required public deposition of data of specific types. Within the journal research data policies examined in the present article, these data types are well presented by the Springer Nature policy on “Availability of data, materials, code and protocols” (Springer Nature, 2018), that is, DNA and RNA data; protein sequences and DNA and RNA sequencing data; genetic polymorphisms data; linked phenotype and genotype data; gene expression microarray data; proteomics data; macromolecular structures and crystallographic data for small molecules. Furthermore, the registration of clinical trials in a public repository was also considered as a data type in this study. The term <em>specific data types</em> used in the custom coding framework of the present study thus refers to both life sciences data and public registration of clinical trials. These data types have community-endorsed public repositories where deposition was most often mandated within the journals’ research data policies.</p> <p>The term ‘location’ refers to whether the journal’s data policy provides suggestions or requirements for the repositories or services used to share the underlying data of the submitted works. A mere general reference to ‘public repositories’ was not considered a location suggestion, but only references to individual repositories and services. The category of ‘immediate release of data’ examines whether the journals’ research data policy addresses the timing of publication of the underlying data of submitted works. Note that even though the journals may only encourage public deposition of the data, the editorial processes could be set up so that it leads to either publication of the research data or the research data metadata in conjunction to publishing of the submitted work.<em> </em></p> <p> </p>
Characteristics, utilization and influence of viewpoint articles from the Structured Operational Research and Training Initiative (SORT IT) – 2009-2020
<p><b>Background</b>: The Structured Operational Research and Training Initiative (SORT IT) teaches the practical skills of conducting and publishing operational research (OR) to influence health policy and/or practice. In addition to original research articles, viewpoint articles are also produced and published as secondary outputs of SORT IT courses. We assessed the characteristics, use and influence of viewpoint articles derived from all SORT IT courses.</p> <p><span><b>Methods: </b>This was a cross-sectional study involving all published viewpoint articles derived from the SORT IT courses held between August 2009 and March 2020. Characteristics of these papers were sourced from the papers themselves and from SORT-IT members involved in writing the papers. Data on use were sourced from the metrics provided on the online publishing platforms and from Google Scholar. Influence on policy and practice was self-assessed by the authors of the papers and was performed only for papers deemed to be 'calls for action'. </span></p> <p><b>Results: </b>A total of 41 viewpoint papers were published. Of these, 15 (37%) were 'calls for action'. Thirty-one (76%) were published in open-access journals and the remaining 10 in delayed access journals. In 12 (29%) of the papers, first authors were from low and middle-income countries (LMICs). Twenty-two (54%) of the papers included female authors, but only four (10%) and two (5%) of first and last authors respectively, were female. Only seven (17%) papers had available data regarding online views and downloads. The median citation score for the papers was four (IQR 1-9). Of the 15 'call for action' papers, six influenced OR capacity building, two influenced policy and practice, and three influenced both OR capacity building within SORT IT and policy and practice.</p> <p><b>Conclusion: </b>Viewpoint articles generated during SORT IT courses appear to complement original OR studies and are valued contributors to the dissemination of OR practices in LMICs.</p> <p> </p>
Supplementary material 2 from: Chen R, Shen T, Tsai K, Hu C (2016) Pericardial window operation for malignant pericardial effusion may have worse outcomes for lung cancer than the other cancers. Research Ideas and Outcomes 2: e8758. https://doi.org/10.3897/rio.2.e8758
Stata/MP 13.1 program *.do (including self-made macros (sharable upon request))
Supplementary material 1 from: Chen R, Shen T, Tsai K, Hu C (2016) Pericardial window operation for malignant pericardial effusion may have worse outcomes for lung cancer than the other cancers. Research Ideas and Outcomes 2: e8758. https://doi.org/10.3897/rio.2.e8758
Detailed statistical output by Stata/MP 13.1
the Research of Analgesia and Sedation Effect of Remifentanil on ICU Short Operation
ClinicalTrials.gov study NCT02635802. IPD Sharing: Not stated. Countries: 0. Publications: 10.
Operations Research to Address Unmet Need for Contraception in the Postpartum Period in Sylhet District, Bangladesh
ClinicalTrials.gov study NCT01702402. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Mid-Atlantic Research Group Single-Operator Cholangioscopic Assessment of Biliary Strictures
ClinicalTrials.gov study NCT02615210. IPD Sharing: Not stated. Countries: 0. Publications: 15.
Characteristics, utilization and influence of viewpoint articles from the Structured Operational Research and Training Initiative (SORT IT) – 2009-2020
Open the record for dataset details and reuse information.
Labeled Datasets for Research on Information Operations
<h1><strong>Labeled Datasets for Research on Information Operations</strong></h1> <h2><strong>Compliance with Platform Terms<br></strong></h2> <p>To comply with the platform terms, we ask that you download one data file per researcher, per day. By requesting access, you agree to abide by these rules.</p> <h2><strong>Data Sharing Policy</strong></h2> <p>Following university, security, and ethical guidelines, we are unable to respond to data requests from research institutions that are affiliated with foreign military organizations or from a list of countries of concern (currently China, North Korea, Iran, Russia, Cuba, Syria, and Venezuela).</p> <h2><strong>README</strong></h2> <p>19-November-2024<br>Contact: <a href="https://osome.iu.edu/">Observatory on Social Media</a></p> <p><strong>Dataset Articles</strong><br>This dataset is collected and processed according to the paper "<a href="https://doi.org/10.48550/arXiv.2411.10609">Labeled Datasets for Research on Information Operations</a>."</p> <p><strong>Description</strong><br>These datasets contain data curated for research on information operations (IO) and includes both labeled IO and control data. The datasets cover 26 verified IO campaigns from various countries and provide comprehensive records of posts from IO accounts alongside control posts from legitimate accounts discussing similar topics during the same periods. The datasets enable the development and benchmarking of IO detection methods by comparing coordinated versus organic accounts.</p> <p><strong>License</strong><br>This dataset is available under the <a href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Attribution-NonCommercial-NoDerivatives 4.0 International</a> license. If you use this data, please cite the original paper.</p> <p><strong>Dataset Content</strong><br>The dataset includes anonymized fields to preserve privacy, and is structured with the following columns:</p> <ul> <li>postid: Unique identifier for each post within the dataset.</li> <li>post_text: The textual content of the post. The PII inside post_text such as mentions and URLs are hashed</li> <li>application_name: Hashed version of the name of the application or platform from which the post was made.</li> <li>post_language: Language in which the post was written.</li> <li>in_reply_to_postid: Anonymized ID of the post this entry is replying to, if applicable.</li> <li>in_reply_to_accountid: Anonymized ID of the account the post is replying to, if applicable.</li> <li>post_time: Timestamp indicating when the post was made.</li> <li>accountid: Unique anonymized ID for the account that created the post.</li> <li>account_profile_description: Description provided by the account holder in their profile.</li> <li>follower_count: Number of followers the account had at the time of data collection.</li> <li>following_count: Number of accounts the user was following at the time of data collection.</li> <li>account_creation_date: Date when the account was created.</li> <li>is_repost: Boolean indicator if the post is a repost.</li> <li>reposted_accountid: Anonymized ID of the original account that made the reposted post, if applicable.</li> <li>reposted_postid: Anonymized ID of the original post that was reposted, if applicable.</li> <li>hashtags: Hashtags included in the post content, if any.</li> <li>urls: Hashed URLs shared within the post, if any.</li> <li>account_mentions: Anonymized ID of accounts mentioned within the post, if any.</li> <li>is_control: Boolean indicator marking whether the post is from a control (True) or IO (False) account.</li> </ul> <p>Data for different campaigns are organized in separate versions of this repository, which can be also found below or in the excel file shared.</p> <table> <tbody> <tr> <td><strong>Campaign Name</strong></td> <td><strong>URL</strong></td> </tr> <tr> <td>Armenia</td> <td><a href="https://doi.org/10.5281/zenodo.14141550">https://doi.org/10.5281/zenodo.14141550</a></td> </tr> <tr> <td>Bangladesh</td> <td><a href="https://doi.org/10.5281/zenodo.14188947">https://doi.org/10.5281/zenodo.14188947</a></td> </tr> <tr> <td>Catalonia</td> <td><a href="https://doi.org/10.5281/zenodo.14188959">https://doi.org/10.5281/zenodo.14188959</a></td> </tr> <tr> <td>China_1</td> <td><a href="https://doi.org/10.5281/zenodo.14188970">https://doi.org/10.5281/zenodo.14188970</a></td> </tr> <tr> <td>China_2</td> <td><a href="https://doi.org/10.5281/zenodo.14188975">https://doi.org/10.5281/zenodo.14188975</a></td> </tr> <tr> <td>Cuba Part 1</td> <td><a href="https://doi.org/10.5281/zenodo.14188984">https://doi.org/10.5281/zenodo.14188984</a></td> </tr> <tr> <td>Cuba Part 2</td> <td><a href="https://doi.org/10.5281/zenodo.14189008">https://doi.org/10.5281/zenodo.14189008</a></td> </tr> <tr> <td>Ecuador</td> <td><a href="https://doi.org/10.5281/zenodo.14189015">https://doi.org/10.5281/zenodo.14189015</a></td> </tr> <tr> <td>Egypt_UAE</td> <td><a href="https://doi.org/10.5281/zenodo.14189018">https://doi.org/10.5281/zenodo.14189018</a></td> </tr> <tr> <td>Ghana_Nigeria</td> <td><a href="https://doi.org/10.5281/zenodo.14189028">https://doi.org/10.5281/zenodo.14189028</a></td> </tr> <tr> <td>Iran_1</td> <td><a href="https://doi.org/10.5281/zenodo.14189037">https://doi.org/10.5281/zenodo.14189037</a></td> </tr> <tr> <td>Iran_2</td> <td><a href="https://doi.org/10.5281/zenodo.14189038">https://doi.org/10.5281/zenodo.14189038</a></td> </tr> <tr> <td>Iran_3</td> <td><a href="https://doi.org/10.5281/zenodo.14189041">https://doi.org/10.5281/zenodo.14189041</a></td> </tr> <tr> <td>Iran_4</td> <td><a href="https://doi.org/10.5281/zenodo.14189047">https://doi.org/10.5281/zenodo.14189047</a></td> </tr> <tr> <td>Iran_5</td> <td><a href="https://doi.org/10.5281/zenodo.14189048">https://doi.org/10.5281/zenodo.14189048</a></td> </tr> <tr> <td>Iran_6</td> <td><a href="https://doi.org/10.5281/zenodo.14189053">https://doi.org/10.5281/zenodo.14189053</a></td> </tr> <tr> <td>Qatar</td> <td><a href="https://doi.org/10.5281/zenodo.14189058">https://doi.org/10.5281/zenodo.14189058</a></td> </tr> <tr> <td>Russia_1</td> <td><a href="https://doi.org/10.5281/zenodo.14189061">https://doi.org/10.5281/zenodo.14189061</a></td> </tr> <tr> <td>Russia_2</td> <td><a href="https://doi.org/10.5281/zenodo.14189072">https://doi.org/10.5281/zenodo.14189072</a></td> </tr> <tr> <td>Russia_3</td> <td><a href="https://doi.org/10.5281/zenodo.14189075">https://doi.org/10.5281/zenodo.14189075</a></td> </tr> <tr> <td>Russia_4</td> <td><a href="https://doi.org/10.5281/zenodo.14189078">https://doi.org/10.5281/zenodo.14189078</a></td> </tr> <tr> <td>Russia_5</td> <td><a href="https://doi.org/10.5281/zenodo.14189081">https://doi.org/10.5281/zenodo.14189081</a></td> </tr> <tr> <td>Spain</td> <td><a href="https://doi.org/10.5281/zenodo.14189086">https://doi.org/10.5281/zenodo.14189086</a></td> </tr> <tr> <td>Thailand</td> <td><a href="https://doi.org/10.5281/zenodo.14189095">https://doi.org/10.5281/zenodo.14189095</a></td> </tr> <tr> <td>UAE</td> <td><a href="https://doi.org/10.5281/zenodo.14189098">https://doi.org/10.5281/zenodo.14189098</a></td> </tr> <tr> <td>Venezuela_1</td> <td><a href="https://doi.org/10.5281/zenodo.14189107">https://doi.org/10.5281/zenodo.14189107</a></td> </tr> <tr> <td>Venezuela_2</td> <td><a href="https://doi.org/10.5281/zenodo.14189110">https://doi.org/10.5281/zenodo.14189110</a></td> </tr> </tbody> </table>
Figure 2 from: Chen R, Shen T, Tsai K, Hu C (2016) Pericardial window operation for malignant pericardial effusion may have worse outcomes for lung cancer than the other cancers. Research Ideas and Outcomes 2: e8758. https://doi.org/10.3897/rio.2.e8758
Figure 2 - Kaplan-Meier Curves for Overall Survival, by Lung Cancer Status
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.