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2,206 results for “Communications”
Replication package: Dataset and stata-do-file for analysis in "Intragroup communication in social dilemmas: An artefactual public good field experiment in small-scale communities"
<p>This dataset was used for the analysis in "Intragroup communication in social dilemmas: An artefactual public good field experiment in small-scale communities". The data was collected in Namibia in 2017 as part of the SASSCAL research project by Nils Christian Hoenow and Adrian Pourviseh as members of the Chair for Development and Cooperative Economics at the University of Marburg. Funded by the Southern African Science Service Center for Climate Change and Adaptive Land-UseManagement (SASSCAL) through the German Federal Ministry for Education and Research (Grant No. 01LG1201B).</p> <p> </p> <p>Article Title: Intragroup communication in social dilemmas: An artefactual public good field experiment in small-scale communities </p> <p>Authors: Nils Christian Hoenow* and Adrian Pourviseh**</p> <p> </p> <p>*RWI – Leibniz Institute for Economic Research, Essen, Germany and & School of Business and Economics, University of<br>Marburg, Marburg, Germany</p> <p>**School of Business and Economics, University of<br>Marburg, Marburg, Germany</p> <p>Abstract: <br>Communication is well-known to increase cooperation rates in social dilemma situations, but the exact mechanisms behind this remain largely unclear. This study examines the impact of communication on public good provisioning in an artefactual field experiment conducted with 216 villagers from small, rural communities in northern Namibia. In line with previous experimental findings, we observe a strong increase in cooperation when face-to-face communication is allowed before decision-making. We additionally introduce a condition in which participants cannot discuss the dilemma but talk to their group members about an unrelated topic prior to learning about the<br>public good game. It turns out that this condition already leads to higher cooperation rates, albeit not as high as in the condition in which discussions about the social dilemma are possible. The setting in small communities also allows investigating the effects of pre-existing social relationships between group members and their interaction with communication.We find that both types of communication are primarily effective among socially more distant group members, which suggests that communication and social ties work as substitutes in increasing cooperation. Further analyses rule out better comprehension of the game and increased mutual expectations of one’s group members’ contributions as drivers for the communication effect. Finally, we discuss the role of personal and injunctive norms to keep commitments made during discussions.</p>
Data for: Collective signalling is shaped by feedbacks between signaller variation, receiver perception, and acoustic environment in a simulated communication network
<p>Communication takes place within a network of multiple signallers and receivers. Social network analysis provides tools to quantify how an individual's social positioning affects group dynamics, and the subsequent biological consequences. However, network analysis is rarely applied to animal communication, likely due to the logistical difficulties of monitoring natural communication networks. We generated a simulated communication network to investigate how variation in individual communication behaviours generates network effects, and how this communication network's structure feeds back to affect future signalling interactions. We simulated competitive acoustic signalling interactions among chorusing individuals and varied several parameters related to communication and chorus size to examine their effects on calling output and social connections. Larger choruses had higher noise levels, and this reduced network density and altered the relationships between individual traits and communication network position. Hearing sensitivity interacted with chorus size to affect both individuals' positions in the network and the acoustic output of the chorus. Physical proximity to competitors influenced signalling, but a distinctive communication network structure emerged when signal active space was limited. Our model raises novel predictions about communication networks that could be tested experimentally, and identifies aspects of information processing in complex environments that remain to be investigated. </p>
Figs 139–152 in Taxonomy of the katydids (Orthoptera: Tettigoniidae) from East Asia and adjacent islands. Communication 16
Figs 139–152. Elbenia: 139 – E. (Elbenia) eudigitata sp. n.; 140–149 – E. (Aequapteron) appressa sp. n.; 150–152 – E. (Ae.) bispinosa Karny. Teeth of left male stridulatory vein from below (139, 140); left (141) and right (142) dorsal fields of male tegmina; male abdominal apex from above (143, 150), from below (144, 151), from side and slightly below (145), and from side (152); distal parts of male last tergite lobes and male genital plate from side (146); apex of latter plate from behind (147); female last tergite with genital plate from below (148); female abdominal apex with ovipositor from side (149). [150–152, after Karny (1926a).]
Figs 63–79 in Taxonomy of the katydids (Orthoptera: Tettigoniidae) from East Asia and adjacent islands. Communication 16
Figs 63–79. Elbenia (Elbenia), male: 63–68 – E. (E.) carinata sp. n.; 69 – E. (E.)?nigrosignata (Stål); 70–74 – E. (E.) apicata sp. n.; 75–79 – E. (E.) semicarinata sp. n. Male abdominal apex from above (63, 70, 75), from below (64, 71, 76), from side (65, 72, 77) and from behind (66, 67, 69, 73, 78); left lobe (68, 74) or both lobes (79) of genital plate from behind. [69, after Karny (1923).]
Figs 1–12 in Taxonomy of the katydids (Orthoptera: Tettigoniidae) from East Asia and adjacent islands. Communication 16
Figs 1–12. Elbenia, male: 1–3 – E. (Tamdaopteron) ryabovi sp. n.; 4–6 – E. (T.) daedala sp. n.; 7–9 – E. (T.) subrecta sp. n.; 10–12 – E. (Elbenia) carinata sp. n. Stridulatory apparatus of left (1, 5, 7, 11) and right (2, 6, 8, 12) dorsal tegminal fields from above; teeth of stridulatory vein of left tegmen from below (3, 4, 9, 10).
How new communication behaviors evolve: Androgens as modifiers of neuromotor structure and function in foot-flagging frogs
<p>How diverse animal communication signals have arisen is a question that has fascinated many. <em>Xenopus</em> frogs have been a model system used for three decades to reveal insights into the neuroendocrine mechanisms and evolution of vocal diversity. Due to the ease of studying central nervous system control of the laryngeal muscles <em>in vitro</em>, <em>Xenopus</em> has helped us understand how variation in communication signals between sexes and between species is produced at the molecular, cellular, and systems levels. Yet, it is becoming easier to make similar advances in non-model organisms. Here, we summarize our research on a group of frog species that have evolved a novel hind limb signal known as 'foot flagging.' We have shown that the evolution of foot flagging in multiple species is accompanied by the evolution of higher androgen hormone sensitivity in the leg muscles and an increased density of spinal interneurons in the neuromotor system that controls the hind limb. Comparing this work to prior work in <em>Xenopus</em>, we highlight which patterns of hormone sensitivity and neural circuit properties are shared between <em>Xenopus</em> and foot-flagging frogs and which appear to be species-specific. Overall, we aim to illustrate the power of drawing inspiration from experiments in model organisms, in which the mechanistic details have been worked out, and then apply these ideas to a non-traditional model species to reveal new details, further complexities, and fresh hypotheses.</p>
Ultrabroadband thin-film lithium tantalate modulator for high-speed communications
<p>The data sets contain the data and the scripts for generating all the plots of the manuscript "Ultrabroadband thin-film lithium tantalate modulator for high-speed communications" </p> <p>The data and the scripts are separated into sub-folders corresponding to the figures. These include the main text Fig.1-3. The scripts are in the .m format. The color and size of some curves are edited in Adobe AI.</p>
Data and scripts for the publication "A case for open communication of bugs in climate models"
<p>Primary data and scripts for the publication "A case for open communication of bugs in climate models" (submitted to GMDD as EGUSPHERE-2024-3493)</p>
Dataset communication interventions environmental NPOs
<p>This dataset contains the data on the quantitative content analysis on the included NPOs Instagram accounts. This dataset is linked to the article: <span>Delvaux, I. & Van den Broeck, W.</span><span> </span><span>(</span><span>2024</span><span>)</span><span>.</span><span> </span><span>Unveiling environmental identities: A mixed methods analysis of non-profit communication</span><span>.</span><span> </span><span><em>Frontiers in Communication</em></span><span>, </span><span><em>9</em></span><span>, </span><span>1445118</span><span>.</span></p>
Animal Communicator International Scan of Books, Websites, Animal Communicator Directory
<p>Four datasets are included focusing on animal communicators (AC): practitioners of intuitive interspecies communication (IIC).</p> <p><strong>Dataset #1:</strong> International English language websites data set (n = 400). To be included and coded, websites had to meet the following 3 criteria: (1) have an English language version of the website, (2) currently offer private AC consultations, and (3) be identified before website analysis was determined comprehensive enough to represent the international scope of AC (Oct. 30, 2020). CITE AS:<strong> </strong>Barrett, M. J., Zmud, L., Mathur, A., & Hoessler, C. (2024). Animal communicator website scan [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p> <strong>Dataset #2:</strong> International English language published books. Total books (n = 191): Books were identified through internet searches, including searches on Amazon and used bookstores such as Abe Books, from practicing AC websites, and from the directory: Book Authority Website for “53 Best Animal Communication Books of All Time,” https://bookauthority.org/books/best-animal-communication-books. Dataset includes books’ titles, descriptions, front and back covers and tables of contents where available. Where it was not clear whether the author was an animal communicator who consulted with clients, we did additional online searches to make this determination. All books had an English language printed copy of the book. We excluded books that were available in electronic copy only. We expanded our initial content inclusion criteria used in the website report beyond individuals currently offering consultations as professional animal communicators to include: (1) professional animal communicators who have since retired; (2) individuals who work intensively with animals in other capacities such as healing, but also report instances of IIC; (3) individuals who may not have worked as professional animal communicators, but write about their own lived experience of the phenomena; and (4) books written by individuals who are not ACs but have interviewed ACs. Where a book was written by two authors, or in some cases, an animal communicator with an additional author, we included both authors in our formal citation. Books were written by ACs who offered professional services (182), or authors who were not ACs (9). CITE AS:<strong> </strong>Barrett, M. J., Mathur, A., & Ghoreishi, Z., Hoessler, C., Kuppenbender, S. (2024). Animal communicator Book Scan [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p><strong>Dataset #3:</strong> Directory of practicing ACs (1990-2011; n = 80 issues). To provide a snapshot of growth in numbers of practitioners over time, we compiled listings of ACs published in the Animal Communicator Directory from <em>Species Link: The Journal of Interspecies Telepathic Communication</em>. From 1990-2011, the publication included a directory of practicing ACs; after 2011, the directory went fully online, and data from each year is not available. CITE AS:<strong> </strong>Barrett, M.J. & Hoessler, C. (2022). Animal Communicator Directory. [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p><strong>Dataset #4: </strong>Reference List of 15 Analyzed Animal Communicator Books with formal or informal “How-To” Sections. Compiled to identify and summarize the ways in which ACs were describing essential processes for conducting a successful intuitive communication session with animals, and thus provide an overview of what happens in an IIC session. Selection criteria: We were seeking succinct summaries from ACs. The intent was not to dig into and analyze processes in detail, but rather to summarize and synthesize the essential processes and steps as the ACs were reporting them. As such, it was beyond the scope of this study to analyze reported example communications or analyze processes in books where the entirety of the book was describing communications with animals. Publication date range: 1998-2019. Close to 300 pages were analyzed. The actual "how-to" excerpts are not included as they are subject to copyright. CITE AS:<strong> </strong>Barrett, M.J. & Kuppenbender, S. (2022). Reference List of 15 Analyzed Animal Communicator Books [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p>For further information on data collection and analysis details contact M.J. Barrett, PhD. mj.barrett@usask.ca </p> <p>Funded by the Social Sciences and Humanities Research Council of Canada<em> </em>Insight Development Grant: <em>Deepening Connection in Pursuit of Environmental Sustainability: Assessing a Promising Lever for Shifting Assumptions of Separation </em>(Grant # 430-2019-01023).</p>
Treatise on Hearing: The Temporal Auditory Imaging Theory Inspired by Optics and Communication (Supplementary Audio Demo Files)
<p>Audio files that supplement "Treatise on Hearing: The Temporal Auditory Imaging Theory Inspired by Optics and Communication". Please refer to the manuscript (preprint) for additional details.</p>
Source data for the publication "Tracking excited state decay mechanisms of pyrimidine nucleosides in real time", Nature Communications, 2021
<p>The archives contain the raw data used to generate the transient absorption spectra for uridine (Figure 1) and 5-methyluridine (Figure 2) presented in the main paper, as well as the trajectory plots and auxiliary spectra presented in the Supplementary Information of the paper "Tracking excited state decay mechanisms of pyrimidine nucleosides in real time" authored by R. Borrego-Varillas et al. published in Nature Communications, 2021. Specifically:</p> <p><strong>URD</strong>: folder with raw data from the uridine trajectories (56 trajectories) performed at the SS-CASPT2/SA-2-CASSCF(10,8) and SS-CASPT2/SA-2-CASSCF(10,10) level of theory</p> <p><strong>5mURD</strong>: folder with raw data from the 5-methyluridine trajectories (57 trajectories) performed at the SS-CASPT2/SA-2-CASSCF(10,8) and SS-CASPT2/SA-2-CASSCF(10,10) level of theory</p> <p>The raw data of each trajectory is inside a folder named <em>geom_XXX</em> where <em>XXX</em> stands for a 3-digit label of the trajectory. The trajectories have been selected out of a pool of 500 trajectories according to the S0-S1 vertical gap so that only trajectories whose energy gap falls under the envelope of the pulse are selected</p> <p><strong>URD</strong>: 003 005 006 011 015 023 039 040 054 056 060 083 098 104 112 114 116 121 122 147 152 158 161 171 173 175 177 186 189 200 204 211 219 223 225 232 234 235 236 246 251 252 257 259 265 268 271 272 279 286 287 289 305 313 318 336</p> <p><strong>5mURD</strong>: 010 044 045 048 052 057 065 074 085 094 097 099 100 105 110 112 113 121 131 137 138 140 144 145 159 164 170 179 182 183 184 186 189 199 203 205 209 214 219 220 221 239 243 250 251 273 284 290 295 301 302 320 325 327 328 333 334</p> <p>In each geom_XXX folder there are following files:</p> <p><strong>S1-S<em>Y</em>.dat</strong>: ASCII files () in which the individual columns correspond to </p> <p>col1: time [fs] </p> <p>col2: transition energy of state S<em>Y</em> with respect to S1 [cm-1] where S0 is the ground state</p> <p>col3-5: X, Y and Z components of the transition dipole moment between S1 and S<em>Y</em> [a.u.]</p> <p>col6: magnitude of the transition dipole moment between S1 and S<em>Y</em> [a.u.] </p> <p>col7: angle between transition dipole moment at time t and t=0 [deg]</p> <p>Note that in URD S1-S0.dat contains in most cases about 500 data points (0-500 fs), in 5mURD S1-S0.dat contains 1000 data points (0-1000 fs) except for a few cases in which the trajectories were interrupted earlier. This data has been used to simulate the stimulated emission before the hopping event and the hot ground state photoinduced absorption after hopping. S1-S<em>Y</em>.dat () contain only data points until the hopping event which have been used to simulate the excited state photoinduced absorption.</p> <p>The spectra reported in the main article (Figs 1 & 2) as well as in the SI can be reproduced following eq. 13-18 in the Supplementary Information.</p> <p> </p> <p><strong>HighMediumLayer_traj.xyz.zip</strong>: archived Cartesian coordinates of the High Layer (nucleobase) and Medium Layer (sugar and waters within 5 Å distance from nucleobase) along the dynamics</p> <p>Note that due to the different number of waters in each trajectory the size of the Medium layer (and thus the size of the system) may vary from trajectory to trajectory.</p> <p>Note that due to the different duration of each trajectory the number of geometries may vary from trajectory to trajectory.</p> <p><strong>LowLayer.xyz:</strong> Cartesian coordinates of the Low Layer (waters > 5 Å from the nucleobase); the coordinates of these waters are kept fixed along the trajectory.</p> <p>The coordinates of High, Medium and Low layers can be used to reproduce the QMMM calculations (energies, gradients and transition dipole moments along each trajectory) with the official COBRAMM release (<a href="https://gitlab.com/cobrammgroup/cobramm.git">https://gitlab.com/cobrammgroup/cobramm.git</a>) following the parameters provided in Supplementary Note 2 of the Supplementary Information.</p>
Viral Communication: Longitudinal Survey Data on the Social Dimensions of the COVID-19 Pandemic
<p>This dataset represents the anonymised data collected as part of the Viral Communication (Understand-ELSED) project, which focussed on the social and ethical dimensions of the COVID-19 pandemic in Germany. It includes the three measurements; Phase I (30 October 2020 and 14 December 2020), Phase II (2 March 2021 and 22 March 2021) and Phase III.</p> <p>The first phase built the foundation for the wider suite of data collection approaches and research methods used in the Viral Communication project by allowing respondents to opt-in to multiple research pathways.</p> <p>Overall sample frame (Phase I): <em>N </em>= 1480</p> <p>Phase II sample frame: <em>N </em>= 482</p> <p>Phase III sample frame: <em>N </em>= 426</p> <p>Computed variables such as weights, groupings (experimental set-ups), and composite scores are included in the dataset.</p>
Joint Communication and Sensing: a Proof of Concept and Datasets for Greenhouse Monitoring using LoRaWAN
<p>The goal of these LoRaWAN based greenhouse monitoring datasets, is to provide the global research community with a benchmark tool to evaluate different techniques for precision agriculture in large greenhouse environments. An identical collection methodology was used for both of the two datasets over the same tomato crop: during a period of five months, respectively. Together with temperature and humidity values, network information such as receiving time of the message and Received Signal Strength Indicator (RSSI) were stored in the greenhouse monitoring datasets:</p> <ul> <li><strong>Greenhouse-1.csv</strong> <ul> <li>Data from 27 sensors denoted as AF 16-42 with an average of 19687 LoRaWAN messages per sensor from April till August 2020, obtained in the greenhouse for tomato crop in Belgium.</li> </ul> </li> <li><strong>Greenhouse-2.csv</strong> <ul> <li>Data from 19 sensors denoted as AF 49-67 with an average of 19009 LoRaWAN messages per sensor from July till November 2020, obtained in the other greenhouse for tomato crop in the Netherlands.</li> </ul> </li> <li><strong>Greenhouse-1-Transformed-Data.csv</strong> <ul> <li>Mean temperature, humidity, and RSSI values along with plant height for the same period.</li> </ul> </li> </ul> <p>Both the greenhouses, had no LoRaWAN connectivity, so individual gateway were installed for both locations. For Greenhouse-1 data, sensors were switched on in a room on 10<sup>th</sup> of April and brought to the greenhouse chamber on 17<sup>th</sup> April at 06:38 am for sensing. It would be crucial to accordingly use data set, considering the above time period.</p> <p>The collection methodology of datasets, and first results of a joint communication and sensing proof-of-concept are documented in the journal paper : https://www.mdpi.com/1424-8220/22/4/1326.</p> <p> </p>
A visual summary of the three categories of Brutus's drumming communication
<p>[This figure appears in DOI: 10.31234/osf.io/kgqy9 (Version 3). The figure was not included in the published version of the manuscript DOI: 10.1007/s10071-021-01584-3.].</p>
Data set figures 1-3 article Reaux et al; Communications Biology 2022
<p>The files attached are :</p> <p>- the manuscript and figures of our article entitled ".." accepted for publication in Communication Biology in February 2022. </p> <p>- A supplementary material, which is an Excel file is the dataset of the figures 1 to 3. It is composed of two sheets in which the values of cerebral blood volume are given for every single animal included in our study: before and during each stimulation (been mechanical or chemical stimulation in sheet 1 - figure 2 or mechanical stimulations of either the ophthalmic or maxillary territories - 2d sheet - figure 3). </p> <p>- A Matlab file with dataset of the figure 4 (ULM of the saggital brain showing the rich and complex vasculature in the trigeminal ganglion)</p>
Developing Notification and Enforcement Systems to Communicate and Administer Bridge Load Postings
<p>State and local law enforcement agencies in the US strive to enforce weight restrictions on trucks and heavy vehicles travelling on public roads as a matter of public safety and as a way of safeguarding vital transportation infrastructure. This research aimed to identify plausible notification systems that can effectively communicate bridge load postings to dispatchers and drivers, investigate and suggest possible approaches to communicate potential detour routes, and identify corresponding enforcement methods required to successfully administer bridge load postings. This report discusses the current practices of bridge load posting notification and enforcement systems. Also, it presents an overview of the existing conditions of intelligent Transportation systems (ITS) in Louisiana that included: Traffic Management Centers (TMCs), Motorist Assistance Patrol (MAP) service, ITS devices, and technologies. A national survey was also conduct targeting US Departments of Transportation (DOTs) professionals and law enforcement agencies in USA to obtain their feedback and insights regarding the current bridge load posting notification and enforcement procedures/systems, its limitations and required modifications at their States. The results of this research suggest that improving the notification methods alone is not enough to ensure public compliance with posted weight limit on bridges, therefore, the enforcement methods need to be improved as well to enhance drivers’ compliance and to prolong the lifespan of bridges. The report concluded by providing recommendations that can improve the notification and enforcement systems to effectively communicate and administer bridge load postings</p>
Science communication: How to tell the story of your scientific work
<p>Have you ever wondered why certain research projects get picked up in the news and not others? Or how some researchers manage to produce science content that goes viral on social media? Sure, part of it is luck, but another part of it is storytelling. By framing your research in a different way, you can increase the chances that your story gets picked up, or that your social media gains a following.</p> <p><a href="https://www.youtube.com/watch?v=aasLG7uOGAg">This webinar </a>will give you the tools to tell stories about your research intentionally, identifying newsworthy stories, who’s your audience, what medium best fits your story, and considering whether you want to pitch your story to journalists, or perhaps use your own media production skills, and posting it to social media. But what platform? We will cover all of this and more in part 1 of our Arctic PASSION seminar! This is part 1 of a series of seminars that Arctic PASSION will be hosting. Arctic PASSION is an EU Horizon 2020-funded project which aims to build a coherent Arctic Observing System that is adjusted to societal needs based on a co-design of knowledge.</p> <p>The Arctic PASSION Online Seminar and Dialogue Series is a tool to communicate project’s topics, share ideas, plans and results, and initiate an inclusive and proactive dialogue with people from different groups, backgrounds and career levels. It is targeted to Arctic and Indigenous Youth, Early Career Scientists and other interested audiences. The online seminar is led by Olivia Rempel, a documentary filmmaker and multimedia journalist working at GRID-Arendal, where she does everything from producing, shooting and editing documentaries, to guest teaching a mini science communication course at the Technical University of Denmark. She holds a master’s degree from the UC Berkeley Graduate School of Journalism, with prior undergraduate work in both journalism and environmental studies. Olivia has had a variety of media jobs, from logistics and communication work at Students on Ice, an educational polar expedition organization, to leading open-source investigations that combat disinformation at the UC Berkeley Human Rights Center and working on documentaries that have been screened at film festivals from Svalbard to Addis Ababa. Olivia has been working alongside passionate researchers for much of her career, and one of her greatest joys is helping them ensure their important work is communicated accurately and effectively.</p> <p>Useful Links:</p> <p>Watch this video on Youtube: <a href="https://www.youtube.com/watch?v=aasLG7uOGAg Olivia's public profile and contact details: https://www.grida.no/staff/108">https://www.youtube.com/watch?v=aasLG7uOGAg </a></p> <p>Olivia's public profile and contact details: <a href="https://www.grida.no/staff/108">https://www.grida.no/staff/108</a></p> <p>Olivia's slides: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbE13RnFpMDZiMlFMSjlOLV9oMVRfWjFrdm5Zd3xBQ3Jtc0ttWlJVZzVPMGE1djNsTGgwcmMweUNpeUkwQVhCT1FSdy1wVEFTRjdlRVhRVW41dkZmODZWbUNLc1VBeVhfNW9lYnRqTTdJOEdhc1hBUzQtV0dvcUpDQjNiYzRUV0NpSDZ3UzRrRl9mSl90c3Z3cW9hVQ&q=https%3A%2F%2Fnextcloud.awi.de%2Fs%2F2Gnj8pprcia9mD6&v=aasLG7uOGAg">https://nextcloud.awi.de/s/2Gnj8pprci...</a></p> <p>List of databases mentioned: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbnVNenZNcEFLV01ielJrdFVQa3hkZlpDMnYyQXxBQ3Jtc0tsNXZOT2h3VHJtNTZ0akVtdzVLNFl3Smd1dmdvN1RVSnB6VXRacHFuSGZFM3hJUGtMOHI3UXpEaXhPWnRoOGZnOFYxYXdoTXdwN2JaSTBLb0Z5bERfczh1VEFiWUFfVDFQaDdBRktPT1I1cDdpVnVLRQ&q=https%3A%2F%2Fresearchguides.journalism.cuny.edu%2Ffindingexperts%2Fdiverse-experts&v=aasLG7uOGAg">https://researchguides.journalism.cun...</a></p> <p>GRID-Arendal media resources, free for reuse: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa0V3WVA2bUhHeVp5dUVLQUxRaW5pYU9UUm5jQXxBQ3Jtc0trYXBsUExha2d3QmMydzhDOEtaUjJnZU1DMElrdFE3QXV2Rmo5d0NSRXh6UWdhLTVjdC1XT0E3VkhIQUx0c193cjcwd0w4NEo4cnBFTzhfY19DYXlRR3FJTzd3VWtRZEl6dHFTOWJiVk9jekRYX1c5Yw&q=https%3A%2F%2Fwww.grida.no%2Fresources&v=aasLG7uOGAg">https://www.grida.no/resources</a></p> <p>Science communication citations: Bickford D, Posa MRC, Qie L, Campos-Arceiz A, Kudavidanage EP. Science communication for biodiversity conservation Biological conservation.. 2012 Jul;151(1):74-76. DOI: 10.1016/j.biocon.2011.12.016.</p> <p>Bullock OM, Shulman HC and Huskey R (2021) Narratives are Persuasive Because They are Easier to Understand: Examining Processing Fluency as a Mechanism of Narrative Persuasion. Front. Commun. 6:719615. doi: 10.3389/fcomm.2021.719615</p> <p>Márquez MC and Porras AM (2020) Science Communication in Multiple Languages Is Critical to Its Effectiveness. Front. Commun. <a href="https://www.youtube.com/watch?v=aasLG7uOGAg&t=331s">5:31</a>. doi: 10.3389/fcomm.2020.00031</p> <p>Pavelle S and Wilkinson C (2020) Into the Digital Wild: Utilizing Twitter, Instagram, YouTube, and Facebook for Effective Science and Environmental Communication. Front. Commun. 5:575122. doi: 10.3389/fcomm.2020.575122</p>
The effect of co-location on human communication networks
<p>Representative dataset for "The effect of co-location on human communication networks." The files are serialized python objects pickled using python 3.8. dist_dict_* contains data on the pairwise distance between researchers, while undir_semiactive_* contains networks representing daily email counts between researchers.</p>
A Dataset for Exploring Wi-Fi Network Diversity in Vehicle-to-Infrastructure Communication
<p><strong>Introduction:</strong></p> <p>This dataset contains space and time-indexed performance data for Wi-Fi communication between a moving vehicle and a set of stationary Access Points (APs). In order to allow comparisons between technologies, 3 different types of Wi-Fi are used in parallel: 800.11n, ac, and ad.</p> <p>For more information, please consult the following article: <a href="https://www.cs.vassar.edu/~rpachecomeireles/research/papers/vnc-2020.pdf"><em>Exploring Wi-Fi Network Diversity for Vehicle-to-Infrastructure Communication</em></a>, Rui Meireles, António Rodrigues, Andrei Stanciu, Ana Aguiar, Peter Steenkiste, in the 2020 IEEE Vehicular Networking Conference (VNC 2020), December 2020, <a href="https://doi.org/10.1109/VNC51378.2020.9318407">doi:10.1109/VNC51378.2020.9318407</a>. Video presentation available <a href="https://youtu.be/IREMIGV4XLc">here</a>.</p> <p><strong>Experiment description:</strong></p> <ul> <li> <p>The AP was placed at the corner of a residential area intersection while the mobile client drove a circuit around it. The mobility pattern is shown in the animated file <code>vehicle-movement.gif</code>.</p> </li> <li> <p>The data is divided into traces, gathered on different dates, using different vehicles to support the AP on the roof, as shown below:</p> </li> </ul> <table> <tbody><tr> <th>trace nr</th> <th>date</th> <th>start time</th> <th>n(n)</th> <th>n(ac)</th> <th>n(ad)</th> <th>AP vehicle</th> <th>n(clients)</th> </tr> </tbody><tbody> <tr> <td>302</td> <td>2019-08-20</td> <td>10:28:45</td> <td>3262</td> <td>2787</td> <td>423</td> <td>2001 Honda Civic sedan</td> <td>1</td> </tr> <tr> <td>303</td> <td>2019-08-20</td> <td>11:26:23</td> <td>3374</td> <td>3027</td> <td>312</td> <td>-</td> <td>2</td> </tr> <tr> <td>304</td> <td>2019-08-20</td> <td>12:39:46</td> <td>1711</td> <td>216</td> <td>14</td> <td>-</td> <td>3 (n & ac) 2 (ad)</td> </tr> <tr> <td>401</td> <td>2019-08-22</td> <td>10:19:24</td> <td>1685</td> <td>1681</td> <td>545</td> <td>2003 Peugeot Partner</td> <td>1</td> </tr> <tr> <td>402</td> <td>2019-08-22</td> <td>10:48:26</td> <td>2859</td> <td>2827</td> <td>764</td> <td>-</td> <td>2</td> </tr> <tr> <td>403</td> <td>2019-08-22</td> <td>11:39:36</td> <td>135</td> <td>135</td> <td>116</td> <td>-</td> <td>2</td> </tr> <tr> <td>404</td> <td>2019-08-22</td> <td>11:42:50</td> <td>114</td> <td>114</td> <td>53</td> <td>-</td> <td>2</td> </tr> <tr> <td>405</td> <td>2019-08-22</td> <td>11:45:07</td> <td>2019</td> <td>2019</td> <td>507</td> <td>-</td> <td>2</td> </tr> </tbody> </table> <ul> <li><strong>APs:</strong> all positioned at coordinates {lat : 41.111879, lon : -8.631146}</li> </ul> <table> <tbody><tr> <th>ap</th> <th>device</th> <th>802.11 type</th> <th>channel</th> <th>cntr. freq (MHz)</th> <th>bw (MHz)</th> </tr> </tbody><tbody> <tr> <td>unifi-003</td> <td>ubiquiti ac lite</td> <td>n</td> <td>6</td> <td>2437</td> <td>20</td> </tr> <tr> <td>unifi-001</td> <td>-</td> <td>ac</td> <td>40</td> <td>5200</td> <td>40</td> </tr> <tr> <td>tp-01</td> <td>tp-link talon ad7200*</td> <td>ad</td> <td>1</td> <td>60480</td> <td>2160</td> </tr> </tbody> </table> <p>*running tp-link's original firmware, not OpenWrt</p> <ul> <li><strong>Main clients:</strong> all positioned in the moving vehicle's roof, a vw golf mk3</li> </ul> <table> <tbody><tr> <th>802.11 type</th> <th>radio</th> <th>nr. antennas</th> <th>laptop</th> </tr> </tbody><tbody> <tr> <td>n</td> <td>csl usb 2.0 wlan Adapter 300 Mbps</td> <td>2</td> <td>m1</td> </tr> <tr> <td>ac</td> <td>tp-link archer t4uh</td> <td>2</td> <td>w4</td> </tr> <tr> <td>ad</td> <td>tp-link talon ad7200 (tp-03)</td> <td>-</td> <td>w4</td> </tr> </tbody> </table> <ul> <li><strong>Background clients:</strong> the purpose is to increase channel util.</li> </ul> <table> <tbody><tr> <th>802.11 type</th> <th>radio</th> <th>nr. antennas</th> <th>laptop</th> <th>position</th> </tr> </tbody><tbody> <tr> <td>n</td> <td>tp-link wn722n</td> <td>1</td> <td>w2</td> <td>fixed, ~2m away from AP</td> </tr> <tr> <td>n</td> <td>tp-link wn722n</td> <td>1</td> <td>w3</td> <td>''</td> </tr> <tr> <td>ac</td> <td>csl usb 2.0 wlan Adapter 300 Mbps</td> <td>2</td> <td>w2</td> <td>''</td> </tr> <tr> <td>ac</td> <td>csl usb 2.0 wlan Adapter 300 Mbps</td> <td>2</td> <td>w3</td> <td>''</td> </tr> <tr> <td>ad</td> <td>tp-link talon ad7200 (tp-04)</td> <td>-</td> <td>macbook</td> <td>stopped vehicle's roof</td> </tr> </tbody> </table> <ul> <li><strong>Monitor nodes:</strong> all positioned in the moving vehicle's roof</li> </ul> <table> <tbody><tr> <th>802.11 type</th> <th>radio</th> <th>nr. antennas</th> <th>laptop</th> </tr> </tbody><tbody> <tr> <td>n</td> <td>csl usb 2.0 wlan Adapter 300 Mbps</td> <td>2</td> <td>m1</td> </tr> <tr> <td>ac</td> <td>tp-link talon ad7200 (tp-02)</td> <td>8</td> <td>w4</td> </tr> <tr> <td>ad</td> <td>tp-link talon ad7200 (tp-02)</td> <td>-</td> <td>w4</td> </tr> </tbody> </table> <p>Dataset structure:</p> <p>All the packet captures are already digested and ready to use in the file <code>wifi-exp-log-summary.csv</code>. An explanation of the fields below:</p> <ul> <li><strong>systime</strong> : system time (1 Hz resolution) that this row refers to. All node clocks were synchronized through NTP.</li> <li><strong>traceNr</strong> : nr. of the trace the row belongs to.</li> <li><strong>lon</strong> : longitude (in degrees) reported by the receiver's GPS at <code>systime</code></li> <li><strong>lat</strong> : latitude reported by the receiver's GPS at <code>systime</code></li> <li><strong>receiverAlt</strong> : altitude (in meters) reported by the receiver's GPS at <code>systime</code></li> <li><strong>receiverX</strong> : x coordinate of the receiver's position when space is discretized as a Cartesian plane and the sender is set to be the origin of the coordinate system. The x axis corresponds to east-west (positive values are east, negative values are west). Unit is meters.</li> <li><strong>receiverY</strong> : y coordinate of the receiver's position when space is discretized as a Cartesian plane</li> <li><strong>receiverDist</strong> : distance (in meters) of receiver to ap(s)</li> <li><strong>receiverSpeed</strong> : speed (in m/s) reported by the receiver's GPS at <code>systime</code></li> <li><strong>receiverId</strong> : system-specific id for the client (in the vehicle)</li> <li><strong>senderId</strong> : system-specific id for the ap serving the client (side of the road)</li> <li><strong>isIperfOn</strong> : 1 if row's <code>systime</code> corresponds to a period where our UDP packet consumer application is known to have been running on the receiver side.</li> <li><strong>isInLap</strong> : 1 if this row's systime has been marked as being part of a time period where clients were doing laps around the APs, 0 otherwise.</li> <li><strong>rssiMean</strong> : the mean of the RSSI (Received Signal Strength Indicator) values of frames received by the client from the ap during the 1-second period systime period the row refers to.</li> <li><strong>snrMean</strong> : SNR (signal to noise ratio) retrieved from 802.11ad sectore sweep frames.</li> <li><strong>channelFreq</strong> : center frequency of the WiFi channel used, in MHz.</li> <li><strong>channelBw</strong> : bandwidth of the WiFi channel used, in MHz.</li> <li><strong>channelUtil</strong> : percentage of time the wireless medium was sensed to be busy during the 1-second period systime period the row refers to. <strong>In traces 40x, the 802.11n and ac routers didn't log channel busy time, and as such we had to approximate channel util. based on x,y coordinates and nr. of active clients.</strong></li> <li><strong>wifiType</strong> : 802.11 type (e.g., n, ac or ad).</li> <li><strong>nrClients</strong> : nr. of parallel clients operating in <code>wifiType</code> mode, on the same channel and bandwidth as <code>receiverId</code>.</li> <li><strong>dataRateMedian</strong> : the median of the bitrate values of frames received by the client from the ap during the 1-second period systime period the row refers to.</li> <li><strong>dataRateMean</strong> : the mean of the bitrate values of frames received by the client from the ap during the 1-second period systime period the row refers to.</li> <li><strong>nBytesReceived</strong> : total number of bytes received by the client from the ap during the 1-second period systime period the row refers to.</li> <li><strong>tghptConsumer</strong> : throughput reported by the UDP packet consumer application, during the 1-second period systime period the row refers to.</li> <li><strong>nRetries</strong> : nr. of WLAN-level re-transmissions on 1 second period</li> <li><strong>meanBeaconRssi</strong> : mean RSSI measured from beacons in 1 second period. nan values are filled with -100 dBm.</li> <li><strong>meanInterBeaconTime</strong> : mean interval between consecutive beacons, within 1 second period. nan values are filled with 1 sec.</li> <li><strong>nBeacons</strong> : total nr. of beacons received by client within 1 second period.</li> </ul>
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