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2,206 results for “Communications”
FIGURE 1 in Uncovering Rotifera, Cladocera and Copepoda name length patterns for enhanced scientific communication
FIGURE 1. Cumulative number of species of Rotifera, Cladocera and Copepoda over time. Dashed lines represent when the cumulative rank reached 25% (1912), 50% (1943) and 75% (1982) of all species in our dataset.
FIGURE 5 in Uncovering Rotifera, Cladocera and Copepoda name length patterns for enhanced scientific communication
FIGURE 5. Temporal variations in the length of genus names (upper panel) and specific names (lower panel) broken down by taxonomic groups: Rotifera (a, d), Cladocera (b, e) and Copepoda (c, f). Colored lines and dashed lines are, respectively, the predicted trend and 95% confidence interval for each group, according to a generalized additive model (see model estimates in Table S4).
FIGURE 3 in Uncovering Rotifera, Cladocera and Copepoda name length patterns for enhanced scientific communication
FIGURE 3. Average length of a) genus and b) specific names for all taxa over the decades. The solid lines indicate the average length whereas the dashed lines indicate median length values. c) Visual representation of the interplay between taxonomic diversity within genera and nomenclatural practices of specific names of Rotifera, Cladocera and Copepoda.
FIGURE 7 in Uncovering Rotifera, Cladocera and Copepoda name length patterns for enhanced scientific communication
FIGURE 7. Occurrence of prefixes, suffixes or additions of any kind to a pre-existing genus name in Rotifera, Cladocera and Copepoda (Calanoid and Cyclopoid) over time.
FIGURE 4 in Uncovering Rotifera, Cladocera and Copepoda name length patterns for enhanced scientific communication
FIGURE 4. Frequency distribution of the lengths of genus (a–c) and specific (d–f) names for each taxon separately. Rotifera (green plots, a, d), Cladocera (violet plots, b, e), Copepoda (blue plots, c, f). The solid lines indicate the average length whereas the dashed lines indicate median length values.
Data and code for "Wild and captive immature orang-utans differ in their non-vocal communication with others, but not with their mothers"
Open the record for dataset details and reuse information.
Interpreting from a Language of Wider Communication to a Language of Narrower Communication: The Case of English to Moghamo
<p>This study set out to examine interpreting from English – language of wider communication – to Moghamo –language of narrower communication. To achieve this end, three objectives were set: 1) state the difficulties they face in performing their duty as interpreters; 2) assess the impact on effective communication in the Moghamo context; and 3) show the impact of their interpretations on Moghamo language and receptors of the interpreting. The data were collected from several sources: documentary from public and private libraries, through interviews and questionnaires and observant participation in churches. The collected data were analysed based on some major linguistic branches: phonology, semantics, morphology and lexicology. The goal here is to prove how Moghamo has been affected by code-switching by natural interpreters and Moghamo speakers. The research led to the following main findings: 1) Natural interpreters have little or no knowledge of the code of ethics governing the profession, and have not even undergone any formal training in the art of interpreting. The consequence is that the audience is generally misinformed and even exploited; 2) The code-switching and other factors contribute significantly to the plethora of English loanwords used regularly in Moghamo; and 3) The string of loanwords regularly used in Moghamo is detrimental because this threatens the very existence and survival of the latter as an independent language. The offshoot of this practice is the existence of what the researcher terms a hybrid Moghamo language or the birth of a completely new language in due course. Being already an endangered language, There is therefore an urgent need for something to be done to stop Moghamo from getting extinct.</p>
Code and data for the paper Picozzi et al. 2024, Communications Earth & Environment (COMMSENV-23-1071B)
<p><span>We share the files for reproducing the results of the paper by Picozzi et al., 2024, “Event-specific Ground motion anomaly unveils the preparatory phase of large earthquakes during the 2016-2017 seismic sequence in central Italy” published on Communications Earth & Environment (COMMSENV-23-1071B).</span></p> <p><span>We provide the input file (dataset_for_GMM_2011_2015.mat) for calibrating the ground motion model by the script Calibrate_GMM_2011_2015.m</span></p> <p><span>We provide the inputs for Figures 4, 5 and 6 (input_figs4_5_6_VIS2016.mat, input_figs4_5_6_NOR2016.mat, and input_figs4_5_6_CAP2017.mat) to compute the eGMA and stress parameters by the scripts script_analyses_and_figures_VIS16.m, script_analyses_and_figures_NOR16.m, and script_analyses_and_figures_CAP17.m</span></p> <p><span> </span></p>
Communication Example of the Rhein Upper Area Control Center (RUAC) from 1962
<p>Das 60-minütige Sprechfunkbeispiel von Rhein Control’s Nordsektor aus 1962 ist Anhang der Buchpublikation "Deutsche Flugsicherung im Kalten Krieg - die FS-Zentrale Rhein Control von 1957 bis 1977" von Frank W. Fischer, der auch auf der Aufnahme zu hören ist. Die Audio-Beispiele geben einen guten Eindruck zu den damals gegebenen täglichen Arbeitsbedingungen für Piloten und Fluglotsen. Die beigefügte Publikation berschreibt zudem den Hintergrund der Aufnahmen genauer.</p>
CommRad RF: A dataset of communication radio signals for detection, identification and classification
<div> <div> <div> <div> <p>In today’s world, data is one of the most valuable resources. It’s now easier than ever to collect millions of radio frequency (RF) signals, both well-known and unusual. With such a large amount of data, researchers can create advanced deep learning techniques. This dataset focuses on baseband signals from communication radios. It includes RF signals captured from 27 different radios, using various frequencies and recorded in different environments. Altogether, there are over 2,700 signals in this collection. The signals were captured using an RF receiver that automatically detects and records signals until they disappear. To organize these signals into a library, the receiver was connected to a laptop, which processed and saved the unique RF fingerprints from different devices.</p> </div> </div> </div> </div> <div> <div> <div> </div> </div> </div>
26/11 Mumbai Terror Network Communication Dataset
<div> <div> <div> <div> <div> <div> <p>This dataset provides an adjacency matrix representing the communication dynamics among members of the terrorist group involved in the 26/11 Mumbai attacks. Sourced from Ze L., et al., this dataset contains critical insights into the interactions and relationships among 13 identified members, facilitating a deeper understanding of their operational collaboration.</p> <p>Dataset Structure:<br>Members: 13 individuals associated with the terrorist group.<br>Format: The dataset is structured as a binary adjacency matrix, where rows and columns correspond to the group members. Each cell in the matrix indicates whether a communication link existed between the corresponding members (1 for communication, 0 for no communication).<br>Key Features:<br>Adjacency Matrix: A 13x13 matrix capturing the communication relationships among members.<br>Binary Representation: Indicates the presence (1) or absence (0) of communication between each pair of members.<br>Purpose and Use Cases:<br>This dataset is intended for researchers and analysts focused on:</p> <p>Analyzing terrorist communication networks and their structural properties.<br>Exploring the dynamics of group interactions in the context of terrorism.<br>Developing algorithms for network analysis and visualization.</p> <p>Citation:</p> <p>[15] Ze L., et al., “Detecting Key Individuals in Terrorist Network Based on FANP Model,” no. Asonam, pp. 724–727, 2014.</p> </div> </div> </div> </div> </div> <div> <div> </div> <h2>License</h2> <p><a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener noreferrer">Attribution 4.0 International (CC BY 4.0)</a><a>Edit</a></p> </div> </div> <div> <div> <div> <div> <div> <div> <h2> </h2> </div> </div> </div> </div> </div> </div>
Channel Estimation and Performance Analysis of SISO Molecular Communications
<p>This file is to support the claim marked by footnote #2.</p>
The vocal repertoire of the bearded capuchin (Cebidae: Sapajus libidinosus): implications for understanding the complexity of neotropical primate communication
<p>Vocal communication is an essential aspect of primate social behaviour. The bearded capuchin <i>Sapajus libidinosus</i> is endemic to Brazil and some studies have described specific vocalisation types for this species; however, there is still no complete description of its vocal repertoire. Thus, this study aimed to describe the vocal repertoire of a group of <i>S. libidinosus</i> living in the<i> Parque Nacional de Brasília</i> (PNB), a protected area in the Cerrado area of Central Brazil. We carried out focal samplings and recording of vocalisations of members of a <i>S. libidinosus</i> troop in different behavioural contexts. The call analyses revealed 25 different types of vocalisations, and each call presented significant structural variation. We grouped these vocalisations according to the context of the emission or acoustic structure into the following categories: contact calls (contact note, infant babbling, trill, teeth- and lip-smacking, and sirena); foraging calls (chihui, grgr, and patinado); whistle series (WS; food-associated WS, long-distance WS, and inter-group encounter WS); aggressive calls (aggressive contact note, ascending rapid staccato, cough cough, and pip); calls in response to aggression (scream, squeal, and pulsed scream), sexual display calls (chuck and raspy oestrous call), and stress-related calls (alarm call/ bark, hiccup, hip, double hip, and wah wah). <i>S. libidinosus</i> presented a very rich vocal repertoire, revealing a pattern consistent with the repertoire of other capuchin monkey species. This is the first comprehensive description of the<i> S. libidinosus</i> vocal repertoire and highlights the complexity of neotropical primate communication.</p> <p>Vocal communication is an essential aspect of primate social behaviour. The bearded capuchin <i>Sapajus libidinosus</i> is endemic to Brazil and some studies have described specific vocalisation types for this species; however, there is still no complete description of its vocal repertoire. Thus, this study aimed to describe the vocal repertoire of a group of <i>S. libidinosus</i> living in the<i> Parque Nacional de Brasília</i> (PNB), a protected area in the Cerrado area of Central Brazil. We carried out focal samplings and recording of vocalisations of members of a <i>S. libidinosus</i> troop in different behavioural contexts. The call analyses revealed 25 different types of vocalisations, and each call presented significant structural variation. We grouped these vocalisations according to the context of the emission or acoustic structure into the following categories: contact calls (contact note, infant babbling, trill, teeth- and lip-smacking, and sirena); foraging calls (chihui, grgr, and patinado); whistle series (WS; food-associated WS, long-distance WS, and inter-group encounter WS); aggressive calls (aggressive contact note, ascending rapid staccato, cough cough, and pip); calls in response to aggression (scream, squeal, and pulsed scream), sexual display calls (chuck and raspy oestrous call), and stress-related calls (alarm call/ bark, hiccup, hip, double hip, and wah wah). <i>S. libidinosus</i> presented a very rich vocal repertoire, revealing a pattern consistent with the repertoire of other capuchin monkey species. This is the first comprehensive description of the<i> S. libidinosus</i> vocal repertoire and highlights the complexity of neotropical primate communication.</p>
Resolving the Do/Do Not Debate: Communication Perspective to Enhance Sustainable Lifestyles
<p>A statewide recycling message experiment was conducted (n= 1199) using an online survey panel. All identifying information (i.e., IP address, response ID) have been removed.</p>
Interview Data on Challenges in big data based communication amid C19
<p><strong>Transcriptions of Interview Data that follows the Semi-Structured Interview Guide</strong></p> <p>Introduction</p> <p>Prior to beginning the interview, the research participant is given the option to accept or decline the interview being recorded. The interviewers then explained that the interview is entirely confidential and any references to company names, colleague names, or product names will be redacted from the transcripts and kept anonymous. The research participant’s name will not be used or recorded in the transcript or in the final manuscript. </p> <p>Background</p> <ol> <li> <p>Can you tell us about your education and professional background?</p> </li> </ol> <p>Current role and responsibilities</p> <ol> <li> <p>What is your current role/position? </p> </li> <li> <p>What industry is your company part of?</p> </li> <li> <p>What department are you part of? </p> </li> <li> <p>What area of the business do you support? </p> </li> <li> <p>What types of communications are you creating (e.g. communications channels, deliverables, platforms, etc.)?</p> </li> <li> <p>Are you utilizing RPA, AI, or data visualizations tools to communicate data? If so, how? </p> </li> <li> <p>Who are your stakeholders (who is the audience)?</p> </li> </ol> <p>Data and communications</p> <ol> <li> <p>When communicating data, what are the communication objectives/goals?</p> <ol> <li> <p>What communications problems are seeking to solve?</p> </li> </ol> </li> <li> <p>What type of data do you use in your role? </p> </li> <li> <p>How do you determine which datasets to use and communicate? </p> <ol> <li> <p>How do you assess the datasets for variety, volume, velocity, veracity?</p> </li> </ol> </li> <li> <p>How do you use it? (To describe, predict, diagnose, or make recommendations?)</p> </li> <li> <p>What has been the outcome or impact of using data in communications?</p> </li> <li> <p>How do you measure the impact of your communications?</p> </li> <li> <p>What are the challenges in communicating data?</p> </li> <li> <p>Do you use these communications across regions and international markets?</p> <ol> <li> <p>What are the challenges in communicating data across regions and international markets?</p> </li> <li> <p>What adjustments are required or what factors are taken into consideration when communicating data across countries? </p> </li> </ol> </li> <li> <p>Are these communications shared or utilized across business units, functions, and departments?</p> </li> </ol> <p>Conclusion </p> <ol> <li> <p>What value do your communications add to achieving business objectives? </p> </li> </ol>
Nurses' experience of using video consultation in a digital care setting and its impact on their workflow and communication
<p>The dataset contains transcription of 15 interviews performed with nurses working in a digital care setting. It also includes the consent form which were sent to the participants in the study. The study aimed to explore nurses' experience of using video consultation in a digital care setting and its impact on their workflow and communication. All interviews were performed in Sweden. </p>
FiN: A Smart Grid and Powerline Communication Dataset
<p># FiN: A Smart Grid and Powerline Communication Dataset</p> <p>Within the Fühler-im-Netz (FiN) project 38 BPL modems were distributed in three different areas of a German city with about 150.000 inhabitants. Over a period of 22 months, an SNR spectrum of each connection between adjacent BPL modems was generated every quarter of an hour. The availability of this data from actual practical use opens up new possibilities to face the increasing complex challenges in smart grids.</p> <p><a href="https://arxiv.org/abs/2204.06336">~~ For detailed information we would like to refer to the full paper. ~~ </a></p> <p>Attributs | FiN 1<br> -------- | --------<br> SNR measurements | 3.3 Mio<br> Timespan | ~2.5yrs<br> *Metadata* |<br> Sleeve count per section | &#9745;<br> Cable length, typ, cross section | &#9745;<br> Number of conductors | &#9745;<br> Year of installation | &#9745;<br> Weather by openweather | &#9745;</p> <p>## Paper abstract<br> The increasing complexity of low-voltage networks poses a growing challenge for the reliable and fail-safe operation of power grids. The reasons for this are, for example, a more decentralized energy generation (photovoltaic systems, wind power, ...) and the emergence of new types of consumers (e-mobility, domestic electricity storage, ...). At the same time, the low-voltage grid is largely unmonitored and local power failures are sometimes detected only when consumers report the outage. To end the blind flight within the low voltage network, the use of a broadband over power line (BPL) infrastructure is a possible solution. In addition to the purpose of establishing a communication infrastructure, BPL also offers the possibility of evaluating the cables themselves, as well as the connection quality between individual cable distributors based on their Signal-to-Noise-Ratio (SNR). Within the Fühler-im-Netz pilot project 38 BPL modems were distributed in three different areas of a German city with about 100.000 inhabitants. Over a period of 21 months, an SNR spectrum of each connection between adjacent BPL modems was generated every quarter of an hour. The availability of this data from actual practical use opens up new possibilities to react agilely to the increasingly complex challenges.</p> <p> </p> <p><br> # FiN-Dataset release 1.0</p> <p>### Content<br> - 68 data .npz files<br> - 3 weather csv files<br> - 2 metadata csv files<br> - this readme</p> <p>### Summary<br> The dataset contains ~3.7B SNR measurements divided into 68 1-to-1 connections. Each of the 1-to-1 connections can split into additional segments, e.g. if part of a cable was replaced due to a cable break.<br> All 68 connections are formed by 38 different nodes distributed over three different locations. Due to data protection regulations, the exact location of the nodes cannot be given. Therefore, each of the 38 nodes is uniquely identified by an ID.</p> <p>### Data<br> The filename specifies the location, the ID of the source node and the destination ID.<br> Example: "loc03_from26_to27.npz"<br> -> Node is in lcation 3<br> -> Source node is 26<br> -> Destination node is 27</p> <p>The .npz file contains a Python dict that is structured as follows:<br> <br> data_dict = {"timestamps": np.array(...), --> Nx1 Timestamps<br> "spectrum_rx": np.array(...), --> Nx1536 SNR assesments on 1536 channels in RX directions. Range is 0.00dB...40.00dB<br> "tonemap_rx": np.array(...), --> Nx1536 Tonemaps in RX directions. Range is 0...7<br> "tonemap_tx": np.array(...)} --> Nx1536 Tonemaps in TX directions. Range is 0...7</p> <p><br> ### Weather<br> In addition to the measured data, we add weather data provided by https://openweathermap.org for all three locations. The weather data is stored in CSV format and contains many different weather attributes. Detailed information on the weather data can be found in the official documentation: https://openweathermap.org/history-bulk</p> <p><br> ### Metadata<br> --> nodes.csv<br> Contains in overview of all nodes, their id, corresponding location and voltage level.</p> <p> --> connections.csv<br> Contains all available metadata for the 68 1-to-1 connections and their individual segements.</p> <p> + year_of_installation -> year in which the cable was installed<br> + year_approximated -> Indicates whether the year was approximated or not (e.g. due to missing records)<br> + cable_section -> identifies the segment or section described by the metadata<br> + length -> length in meters<br> + number_of_conductors -> identifier for the conductor structure in the cable<br> + cross-section -> cross-section of the conductors<br> + voltage_level -> identifier for the voltage level (MV=mid voltage; LV=low voltage)<br> + t_sleeves -> number of T-sleeves installed within a section<br> + type -> cable type<br> + src_id -> id of the source node<br> + dst_id -> id of the destination node</p> <p> </p>
Data for Sagebrush: Consistent individual variation in plant communication: Do plants have personalities?
<p>Animal biologists have recently focused on individual variation in behavioral traits and have found that individuals of many species have personalities. These are defined as consistent intraspecific differences in behaviors that are repeatable across different situations and stable over time. When animals sense danger, some individuals will alert neighbors with alarm calls and both calling and responding vary consistently among individuals. Plants, including sagebrush, emit volatile cues when they are attacked by herbivores and neighbors perceive these cues and reduce their own damage. We experimentally transferred volatiles between pairs of sagebrush plants to evaluate whether individuals showed consistent variation in their effectiveness as emitters and as receivers of cues. We found that 64% of the variance in chewing damage to branches over the growing season was attributable to the identity of the individual receiving the cues. This variation could have been caused by inherent differences in the plants as well as by differences in the environments where they grew and their histories. We found that 5% of the variance in chewing damage was attributable to the identity of the emitter that provided the cue. This fraction of variation was statistically significant and could not be attributed to the environmental conditions of the receiver. Effective receivers were also relatively effective emitters, indicating consistency across different situations. Pairs of receivers and emitters that were effective communicators in 2018 were again relatively effective in 2019, indicating consistency over time. These results suggest that plants have repeatable individual personalities with respect to alarm calls.</p>
Understanding and Mitigating the Impact of Wi-Fi 6E Interference on Ultra-Wideband Communications and Ranging
<p>Artifacts containing data sets and scripts for the paper "Understanding and Mitigating the Impact of Wi-Fi 6E Interference on Ultra-Wideband Communications and Ranging" published at the <em>International Conference on Information Processing in Sensor Networks </em>(IPSN) 2022.</p>
Inferring causal cell-cell communication from single-cell transcriptomics
<p>Data used to produce the analysis in "Inferring causal cell-cell communication from single-cell transcriptomics" by Almet and Nie (2022)</p>
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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.