Find research datasets worth reusing

opencc-by-4.0Feb 2020View details →

Figs 1–13. Liaromorpha and Liara s. l in Taxonomy of the katydids (Orthoptera: Tettigoniidae) from East Asia and adjacent islands. Communication 13

Figs 1–13. Liaromorpha and Liara s. l.: 1–3 – Liaromorpha bispinosa sp. n.; 4, 5 – L.

Figs 72–86 in Taxonomy of the katydids (Orthoptera: Tettigoniidae) from East Asia and adjacent islands. Communication 12

Figs 72–86. Meconematini: 72–78 – Cercoteratura variegata sp. n.; 79, 80 – C. spini-

Figs 16–37 in Taxonomy of the katydids (Orthoptera: Tettigoniidae) from East Asia and adjacent islands. Communication 12

Figs 16–37. Phisidini, Phlugidini and Meconematini: 16–19 – Neophisis malaysiana sp.

Figs 57–71 in Taxonomy of the katydids (Orthoptera: Tettigoniidae) from East Asia and adjacent islands. Communication 12

Figs 57–71. Meconematini and Phlugidini: 57–61 – Cercoteratura variegata sp. n.; 62–

Figs 38–56 in Taxonomy of the katydids (Orthoptera: Tettigoniidae) from East Asia and adjacent islands. Communication 12

Figs 38–56. Meconematini: 38–41 – Xiphidiopsis mada Gor., stat. n.; 42–44 – X. shcher-

Figs 1–15 in Taxonomy of the katydids (Orthoptera: Tettigoniidae) from East Asia and adjacent islands. Communication 12

Figs 1–15. Phisidini and Phlugidini: 1–5 – Neophisis malaysiana sp. n.; 6–8 – Asiophlugis

opencc-by-4.0Oct 2022View details →

Activity at the DAEMON booth in the European Conference on Networks and Communications

<p>@h2020daemon booth and 3 Demos at European Conference on Networks and Communications (@EuCNC) 2022 @Telefonica_En @tudelft @InformaticaUMA @IMDEA_SOFTWARE @UC3M @nec_sws @i2CAT @ADLINK_Tech @IMEC @BellLabs @SrsSystems @wings_ict @zettascaletech <a href="https://www.youtube.com/hashtag/h2020daemon">#h2020daemon</a> <a href="https://www.youtube.com/hashtag/h2020">#H2020</a> @EU_H2020 @5GPPP</p>

opencc-by-4.0Oct 2022View details →

Overview of the DAEMON booth at the European Conference on Networks and Communications

opencc-by-4.0Jan 2016View details →

Fig. 3 in SHORT COMMUNICATION Monitoring a population of Cruziohyla craspedopus (Funkhouser, 1957) using an artificial breeding habitat

Fig. 3. Newly metamorphosed juvenile Cruziohyla craspedopus.

opencc-by-4.0Oct 2023View details →

Primary somatosensory cortical processing in tactile communication

<p>Touch is an essential form of non-verbal communication. While language and its neural basis are widely studied, tactile communication is less well understood. We used fMRI and multivariate pattern analyses in pairs of emotionally close adults to examine the neural basis of human-to-human tactile communication. In each pair, a participant was designated either as sender or as receiver. The sender was instructed to communicate specific messages by touching only the arm of the receiver, who was inside the scanner. The receiver then identified the message based on the touch expression alone. We designed two multivariate decoder algorithms – one based on the sender’s intent (sender-decoder), and another based on the receiver’s response (receiver-decoder). We identified several brain areas that significantly predicted behavioral accuracy of the receiver. Regarding our a priori region of interest, the receiver’s primary somatosensory cortex (S1), both decoders were able to accurately differentiate the messages based on neural activity patterns here. The receiver-decoder, which relied on the receivers’ interpretations of the touch expressions, outperformed the sender-decoder, which relied on the sender’s intent. Our results identified a network of brain areas involved in human-to-human tactile communication and supported the notion of non-sensory factors being represented in S1.</p> <p>Log files per subject and run (end of file name: subID_run_log.csv)</p> <p>response mat file per subject receiver_only and sender_only</p> <p>readresponsemat_SVM_S1...m = reads in response mat files and performs SVM classification</p> <p>ECOC_S1.m = decoding code</p> <p>Normalized brain scan data can be found here: https://zenodo.org/records/4925648</p>

opencc-by-4.0May 2024View details →

FACS data for Ben Tov D, Mafessoni et al.,2024, Nature Communications

<p>FACS raw data and summary plots for "Uncovering the Dynamics of Precise Repair at CRISPR/Cas9-induced Double-Strand Breaks",<br>Daniela Ben Tov*, Fabrizio Mafessoni*, et al.,2024, Nature Communications<br>*equal contribution</p> <p>Data were collected by Daniela Ben Tov and Amit Cucuy at the Weizmann Institute of Science, Department of Plant & Environmental Sciences, and deposited by Fabrizio Mafessoni on 23-5-2024.</p>

opencc-by-4.0May 2024View details →

Applying short text topic models to instant messaging communication of software developers

<p>Content related to paper "Applying short text topic models to instant messaging communication of software developers" published in the Journal of Systems and Software.</p> <p><strong>Data available:</strong></p> <ul> <li>Data sets used: JSONs with messages from Gitter chat rooms (downloaded with previous Gitter API - <a href="https://developer.gitter.im/docs/welcome" rel="nofollow">https://developer.gitter.im/docs/welcome</a>): <ul> <li>"Android.json"</li> <li>"ConsenSys.json"</li> <li>"WebpackDocs.json"</li> <li>"Jenkinsci.json"</li> <li>"Locomotive.json"</li> <li>"SpringSecurity.json"</li> <li>"Flutter.rar" - json file was compressed due to its size</li> <li>"GitterHQ.rar" - json file was compressed due to its size</li> <li>"Laravel.rar" - json file was compressed due to its size</li> </ul> </li> <li>"stopwords_list": Customized list of stop words</li> <li>"topics_sttm_results.csv": Topics obtained with each combination of model and corpus (both lemmatized and stemmed corpora)</li> <li>"intrusion_tasks.csv": Results of the survey for the Intrusion Tasks and its participants' background</li> <li>"topicnaming_tasks.csv": Results of the survey for the Topic Naming Tasks and its participants' background</li> <li>"intrinsic_metrics.csv": Scores of topic coherence metrics at topic level ('average' represents the score at model level)</li> <li>"topics_themes_chatrooms.csv": Results of the exercise described in Section 5.2 with the topics and themes identified in each of the 87 Gitter chat rooms.</li> <li>"sensitivity_analysis": Results of a smaller-scale sensitivity analysis to check the impact of the number of topics on the main findings of the paper.</li> </ul>

COMMUNI.CARE (Communication and Patient Engagement at Diagnosis of Pancreatic Cancer): Study Protocol

<div> <div> <div> <div> <p>Consecutive PDAC patients were enrolled at the time of diagnosis after obtaining informed consent in a single-center study for a total of 32 doctor-patient interactions. Data were audio-recorded, fully anonymized, and then transcribed. All data are in Italian.</p> </div> </div> </div> </div>

A collection of map-based applications created to communicate sustainable mobility topics

<h2>Source of the sample map-based applications</h2> <div> <table> <tbody> <tr> <td>ID</td> <td>Published year</td> <td>Link</td> </tr> <tr> <td>R1</td> <td>2021</td> <td>https://futuretransport-news.com/voi-launches-impact-dashboard-for-moresustainable-transport-choices/ </td> </tr> <tr> <td>R2</td> <td>2022</td> <td>https://trafficinfratech.com/ritm3-effective-solution-for-sustainable-traffic-management</td> </tr> <tr> <td>R3</td> <td>2022</td> <td>https://staex.io/smart-city-staex-regioit </td> </tr> <tr> <td>R4</td> <td>2022</td> <td>https://www.paircity.com/home   </td> </tr> <tr> <td>R5</td> <td>2019</td> <td>https://www.geodan.com/knowledge-and-innovation/managing-urban-processesintelligently-with-the-amsterdam-smart-city-dashboard/</td> </tr> <tr> <td>R6</td> <td>2018</td> <td>https://www.greenappsandweb.com/en/android-en/rewarding-sustainable-mobilitysolutions/</td> </tr> <tr> <td>R7</td> <td>2021</td> <td>https://unhabitat.org/sites/default/files/2021/08/sump-guidelineseng.pdf   </td> </tr> <tr> <td>R8</td> <td>2020</td> <td>https://kidsgogreen.eu/en/   </td> </tr> <tr> <td>R9</td> <td>2023</td> <td>https://datatopics.worldbank.org/sdgatlas/goal-9-industryinnovation-and-infrastructure/?lang=en</td> </tr> <tr> <td>R10</td> <td>2020</td> <td>https://www.edinburgh.gov.uk/downloads/file/29320/city-mobility-plan-2021-2030     </td> </tr> <tr> <td>R11</td> <td>2021</td> <td>https://plan4better.de/en/tutorials/isochrone/   </td> </tr> <tr> <td>R12</td> <td>2022</td> <td>https://www.eiturbanmobility.eu/wpcontent/uploads/2022/11/EIT-UrbanMobilityNext915−min−City144dpi.pdf </td> </tr> <tr> <td>R13</td> <td>2023</td> <td>https://www.nature.com/articles/s41598-023-32326-9 </td> </tr> <tr> <td>R14</td> <td>2022</td> <td>https://mobilitylab.hel.fi/app/uploads/2022/09/Digital-Twin-for-Mobilty.-Working-paper-version-9-September-2022.pdf </td> </tr> <tr> <td>R15</td> <td>2020</td> <td>https://xyzt.ai/2020/12/01/become-a-traffic-data-rockstar/ </td> </tr> <tr> <td>R16</td> <td>2022</td> <td>https://www.argaleo.com/en/oplossingen/fietsbeleid/ </td> </tr> </tbody> </table> </div> <div> </div>

Generative AI in University Communication, 2nd Wave - Survey Data (May 2024)

<p>Der Datensatz mit dem Titel "Generative KI in der Hochschulkommunikation, 2. Welle - Umfragedaten (Mai 2024)" erfasst Informationen zur Einführung und Nutzung von generativer künstlicher Intelligenz (KI) im Kontext der Hochschulkommunikation. Die Umfrage, die im Mai 2024 unter 318 deutschen Hochschulen durchgeführt wurde, von denen 82 geantwortet haben, untersucht verschiedene Aspekte, darunter Bekanntheit und Wissen über verschiedene KI-Tools (z.B. ChatGPT), Diskussionen in Gremien, das Vorhandensein von Richtlinien für die Nutzung, das Vorhandensein von Arbeitsgruppen für generative KI, strategische Ziele und Initiativen, Schulungsangebote für generative KI-Tools und die wahrgenommene Bedeutung von generativen KI-Tools in der Hochschulkommunikation. Ziel des Datensatzes ist es, Einblicke in die aktuelle Landschaft und Praxis der Integration generativer KI im universitären Umfeld zu geben. Die Daten der ersten Erhebung sind unter https://doi.org/10.5281/zenodo.10254904 zu finden.</p> <p>The dataset, titled "Generative AI in University Communication - Survey Data (May 2024)," captures information related to the adoption and utilization of generative artificial intelligence (AI) in the context of university communication. This survey, conducted in June 2024 among 318 German universities of which 82 responded, explores various aspects, including awarenes and knowledge of various AI tools (e.g. ChatGPT), discussions in committees, the existence of guidelines for usage, the presence of working groups for generative AI, strategic goals and initiatives, training offerings for generative AI tools, and the perceived importance of generative AI tools in university communication. The dataset aims to provide insights into the current landscape and practices regarding the integration of generative AI within university settings. Data of the first wave can be found here: https://doi.org/10.5281/zenodo.10254904<br><br>More information here: <a href="https://www.hof.uni-halle.de/projekte/hochki/">https://www.hof.uni-halle.de/projekte/hochki/</a></p>

Data for "Overcoming Laser Phase Noise for Low-cost Coherent Optical Communication"

<p>The files contain the data for the paper "Overcoming laser phase noise for low-cost coherent optical communication".</p>

Community survey among science communication practitioners in Germany (2023)

<p>This dataset contains fully anonymized responses to an online survey conducted among German science communication practitioners (N = 103) concerning general science communication (formats, goals, target groups) but also focusing on the specific issue of evaluation in science communication. The survey was in the field from November 13 to December 14, 2023. Sampling was purposive, science communication practitioners were contacted via newsletters, mailing lists, at conferences and with the help of specific social media channels and hashtags. The survey consists of 24 questions, including multiple choice, Likert type questions and open ended questions. The survey is based on a survey from 2019, with partial adjustments in the instruments, to which <a href="../records/4608091">the dataset is also available on Zenodo</a>. It is important to note that the participants of the survey are of the same target group, but it is not the same sample.</p> <p>Questions focused on the survey participants’ conduct of science communication, most frequent formats, goals and target groups but also on their experience with science communication evaluation and their perceptions of it. A detailed description of the variables and the coding can be found in the dataset. The survey was conducted in German and it should be noted that the original data is only available in German.</p> <p>Results of the study included more detailed information on sampling were published on the website of Wissenschaft im Dialog (WiD), the organization conducting the survey and can be found in<a href="https://impactunit.de/wp-content/uploads/2024/04/WiD_ImpactUnit_CommunityBefragung2023.pdf"> German</a> and<a href="https://impactunit.de/wp-content/uploads/2024/04/WiD_ImpactUnit_CommunitySurvey2023.pdf"> English</a>.</p> <p> </p>

opencc-by-4.0May 2024View details →

Identifying one-to-one communication themes on HPV and HPV vaccination

<p>The aim of this study is to examine the factors that impact communication between doctors, young adolescents, parents, and caregivers when discussing HPV vaccination recommendations. We are interested in understanding how different topics are discussed based on patient characteristics. Specifically, we would like to explore the influence of factors such as religion, country of origin, educational level, and gender.</p> <p>Survey was carried out in the framework of the European project PROTECT-EUROPE (EU4H-1, Project ID 101080046). PROTECT-EUROPE is an EU4Health Project that champions gender-neutral vaccination programme in EU Member States to provide protection for everyone against cancers caused by HPV e.g. cervical, anal, penile, vaginal, vulval and oropharyngeal.</p>

opencc-by-4.0Apr 2022View details →

Fig. 1 in Short communication Contribution to the vascular flora of Ventotene and Santo Stefano islands (Pontine Islands, Lazio, Italy) with two taxa new to Lazio

Fig. 1 - Oenothera speciosa Nutt. (Foto F. Conti).