Find research datasets worth reusing

opencc-by-4.0May 2023View details →

Dataset associated with publication "Direct observation of coherence transfer and rotational-to-vibrational energy exchange in optically centrifuged CO2 super-rotors" to be published in Nature Communications

This dataset contains all data to compose figures in the associated manuscript.  Some of the images are presented in MatLab .mat files.  If a different format is needed, please contact the corresponding author.

opencc-by-4.0Jun 2023View details →

CESNET-MINER22-TS: Periodic Behavior Features of Cryptomining Communication

CESNET-MINER22-TS: Periodic Behavior Features of Cryptomining CommunicationDatasets were created for the paper: Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior -- Josef Koumar, Richard Plný, Tomáš Čejka -- which was published at The 19th International Conference on Network and Service Management (CNSM) 2023. Please cite usage of our datasets as:  <blockquote>J. Koumar, R. Plný and T. Čejka, "Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior," 2023 19th International Conference on Network and Service Management (CNSM), Niagara Falls, ON, Canada, 2023, pp. 1-7, doi: 10.23919/CNSM59352.2023.10327904.</blockquote> The files cesnet_miner22_design_with_FTS_proba.zip and cesnet_miner22_evaluation_with_FTS_proba.zip contain one .csv file with IP flows. The IP flows were taken from the CESNET-MINER22 dataset [1], which was created by monitoring national research and educational network CESNET2. Furthermore, we add two features ID_DEPENDENCY (string) and PERIODICITY_PROBA (double). ID_DEPENDENCY is an ID of a network dependency (see the article [2]) and the PERIODICITY_PROBA is the predicted probability by FTS analysis. The files from periodicity_features.zip contain periodic behavior features for Machine Learning. The files names are in format "{evaluation/design}.periodicity_features.{TIME_INTERVAL}.{SIG_SPACE}.{PER_LEVEL}.csv" and have the following format of columns:<ul><li>id_dependency -- Identification of a network dependency observed as a Flow time series (FTS).</li><li>label -- The labels ("Miner" or "Other") of periodic FTS.</li><li>packet_value -- Value of Clear periodic behavior of the metric packet.</li><li>packet_value_x -- Value of the interval's lower value of Sinusoidal periodic behavior of the metric packets.</li><li>packet_value_y -- Value of the interval's upper value of Sinusoidal periodic behavior of the metric packets.</li><li>packet_mean -- Mean value of the metric packet.</li><li>packet_std -- Standard deviation value of the metric packet.</li><li>packet_skewness -- Skewness value of the metric packet.</li><li>packet_kurtosis -- Kurtosis value of the metric packet.</li><li>bytes_value -- Value of Clear periodic behavior of the metric bytes.</li><li>bytes_value_x -- Value of the interval's lower value of Sinusoidal periodic behavior of the metric bytes.</li><li>bytes_value_y -- Value of the interval's upper value of Sinusoidal periodic behavior of the metric bytes.</li><li>bytes_mean -- Mean value of the metric bytes.</li><li>bytes_std -- Standard deviation value of the metric bytes.</li><li>bytes_skewness -- Skewness value of the metric bytes.</li><li>bytes_kurtosis -- Kurtosis value of the metric bytes.</li><li>duration_value -- Value of Clear periodic behavior of the metric duration.</li><li>duration_value_x -- Value of the interval's lower value of Sinusoidal periodic behavior of the metric duration.</li><li>duration_value_y -- Value of the interval's upper value of Sinusoidal periodic behavior of the metric duration.</li><li>duration_mean -- Mean value of the metric duration.</li><li>duration_std -- Standard deviation value of the metric duration.</li><li>duration_skewness -- Skewness value of the metric duration.</li><li>duration_kurtosis -- Kurtosis value of the metric duration.</li><li>difftimes_value -- Value of Clear periodic behavior of the metric difftimes.</li><li>difftimes_value_x -- Value of the interval's lower value of Sinusoidal periodic behavior of the metric difftimes.</li><li>difftimes_value_y -- Value of the interval's upper value of Sinusoidal periodic behavior of the metric difftimes.</li><li>difftimes_mean -- Mean value of the metric difftimes.</li><li>difftimes_std -- Standard deviation value of the metric difftimes.</li><li>difftimes_skewness -- Skewness value of the metric difftimes.</li><li>difftimes_kurtosis -- Kurtosis value of the metric difftimes.</li><li>max_power -- Represent the maximum power of the LS periodogram.</li><li>max_frequency -- Describe the frequency of the maximum power of the LS periodogram.</li><li>min_power -- Represent the minimum power of the LS periodogram.</li><li>min_frequency -- Describe the frequency of the minimum power of the LS periodogram.</li><li>spectral_energy -- Represents the total energy present at all frequencies in LS periodogram.</li><li>spectral_entropy -- The degree of randomness or disorder in the LS periodogram.</li><li>spectral_kurtosis -- Indicates a nonstationary or non-Gaussian behavior in the power spectrum.</li><li>spectral_skewness -- The measure of peakedness or flatness of power spectrum.</li><li>spectral_rolloff -- It is defined as frequency below 85% of the distribution power.</li><li>spectral_cetroid -- Indicates at which frequency the energy of a spectrum is centered upon.</li><li>spectral_spread -- It is the difference between the highest and lowest frequency in the power spectrum.</li><li>spectral_slope -- The slope of the power spectrum trend in a given frequency range.</li><li>spectral_crest -- Refers to the rate of shift of the sign of a wave, which is the rate of change from negative to positive or the reverse.</li><li>spectral_flux -- The rate of change of periodogram power with increasing frequency.</li><li>spectral_bandwidth -- Describes the difference between upper and lower frequencies at which spectral energy is half its maximum value.</li></ul> The files from time_series.zip contain FTS of used time interval. The file names are in format "{evaluation/design}.time_series.{TIME_INTERVAL}.csv" and have the following format of columns:<ul><li>ID_DEPENDENCY -- Identification of a network dependency observed as a FTS.</li><li>N_FLOWS -- Number of flows in time series, i.e., number of data points.</li><li>N_PACKETS -- Number of packets in time series, i.e., the sum of metric PACKETS.</li><li>N_BYTES -- Number of bytes in time series, i.e., the sum of metric PACKETS.</li><li>PACKETS -- The array containing the time series metric number of packets in the IP flow.</li><li>BYTES -- The array containing the time series metric number of bytes in the IP flow.</li><li>START_TIMES -- The array containing the time series time axis of the flows starts.</li><li>END_TIMES -- The array containing the time series time axis of the flows ends.</li><li>LABELS -- The array of labels ("Miner" of "Other") of each datapoint.</li></ul> [1] Richard Plný et al. CESNET-MINER22: Datasets of Cryptomining Communication. Zenodo, October 2022.[2] Koumar, Josef, and Tomáš Čejka. "Network traffic classification based on periodic behavior detection." 2022 18th International Conference on Network and Service Management (CNSM). IEEE, 2022.

opencc-by-4.0Jun 2023View details →

Data and scripts to generate all figures for Communications Earth and Environment paper COMMSENV-21-0361D

In this data set, it includes all the data and NCL scripts which are necessary to generate all figures used in the manuscript COMMSENV-21-0361D.E

opencc-by-4.0Mar 2022View details →

From Noise to Signal: Multi-layer Speckle Correlation with Applications in Visible Light Communication

Dataset for journal article "Enhanced Secrecy in Optical Communication using Speckle from Multiple Scattering Layers" The basic publication is: Alfredo Rates, Joris Vrehen, Bert Mulder, Wilbert L. IJzerman, and Willem L. Vos, "Enhanced Secrecy in Optical Communication using Speckle from Multiple Scattering Layers", Opt. Express 31, 23897-23909 (2023).   We have uploaded to the Zenodo database all data enabling everyone to reuse our data, and to reproduce all the figures of our paper. The upload contains the file "Metadata.txt" explaining the content of the upload.

opencc-by-4.0Jul 2023View details →

Raw FITS and AAV data of the Bluewalker 3 LEO communication satellite.

Separate tar/zip files of raw images from each telescope used in the l2022 observing campaign of the AST SpaceMobile prototype Bluewalker 3 LEO communication satellite, led and organised by the International Astronomical Union (IAU) <a href="https://cps.iau.org/">Centre for the Protection of the Dark and Quiet Sky from Satellite Constellation Interference</a> (CPS). The images along with their associated calibration frames were used in the publication (Nandakumar+ <a href="https://doi.org/10.21203/rs.3.rs-2557594/v1">2023</a>) and are freely available to the community. The reduced data (e.g. apparent magnitude, TLE accuracy, and phase angles) are provided in (Nandakumar+ <a href="https://doi.org/10.21203/rs.3.rs-2557594/v1">2023</a>) as supplementary machine readable data tables.

opencc-zeroAug 2023View details →

Parasitoid–host eavesdropping reveals temperature coupling of preferences to communication signals without genetic coupling

Receivers of acoustic communication signals evaluate signal features to identify conspecifics. Changes in the ambient temperature can alter these features, rendering species recognition a challenge. To maintain effective communication, temperature coupling—changes in receiver signal preferences that parallel temperature-induced changes in signal parameters—occurs among genetically coupled signallers and receivers. Whether eavesdroppers of communication signals exhibit temperature coupling is unknown. Here, we investigate if the parasitoid fly Ormia ochracea , an eavesdropper of cricket calling songs, exhibits song pulse rate preferences that are temperature coupled. We use a high-speed treadmill system to record walking phonotaxis at three ambient temperatures (21, 25, and 30°C) in response to songs that varied in pulse rates (20 to 90 pulses per second). Total walking distance, peak steering velocity, angular heading, and the phonotaxis performance index varied with song pulse rates and ambient temperature. The peak of phonotaxis performance index preference functions became broader and shifted to higher pulse rate values at higher temperatures. Temperature-related changes in cricket songs between 21 and 30°C did not drastically affect the ability of flies to recognize cricket calling songs. These results confirm that temperature coupling can occur in eavesdroppers that are not genetically coupled with signallers.

opencc-by-4.0Sep 2022View details →

Paradigm Shifts in Environmental Policies: The Role of Digital Communication and Knowledge Exchange in the T20/G20 Transnational Policy Community

Discussion: Do you see paradigm shifts in environmental policies in Indonesia? Can transnational research based policy advice, as performed by the T20, be an incubator for paradigm shifts? What role does/could/should digital knowledge exchange play?

opencc-by-nc-4.0Nov 2023View details →

Dataset for "Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting"

Labelled dataset of Iridium “ring alert” downlink messages, including message headers captured at 25MS/s. Message metadata includes satellite and transmitter identifier, satellite position, timestamp, and estimated noise level. The dataset contains 1706556 messages. The dataset has been split into numpy files for each column, and further split into segments of 10000 entries each, with the format <code>{column}_{segment}.npy</code>. This data was originally collected for the paper “Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting”, and was used to authenticate Iridium satellites from high sample rate message headers. The data collection and model code can be found at the following URL: <a href="https://github.com/ssloxford/SatIQ">https://github.com/ssloxford/SatIQ</a> The preprint is available on arXiv at the following URL: <a href="https://arxiv.org/abs/2305.06947">https://arxiv.org/abs/2305.06947</a> When using this dataset, please cite the following paper: “Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting”. The BibTeX entry is given below: <pre><code>@inproceedings{smailesWatch2023, author = {Smailes, Joshua and K{\"o}hler, Sebastian and Birnbach, Simon and Strohmeier, Martin and Martinovic, Ivan}, title = {{Watch This Space}: {Securing Satellite Communication through Resilient Transmitter Fingerprinting}}, year = {2023}, publisher = {Association for Computing Machinery}, booktitle = {Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security}, location = {Copenhagen, Denmark}, series = {CCS '23} }</code></pre>

opencc-by-4.0Sep 2023View details →

Nature Communications 2020 Kopp et al JunD ChIP-seq SeqDatas

This record represents SeqData objects saved as Zarr files (https://github.com/ML4GLand/SeqData) derived from ENCODE consortium ChIP-seq experiments with the JunD transcription. This data was used in one of the use cases in the EUGENe publication (https://github.com/ML4GLand/EUGENe_paper), and includes objects used in various tutorials available in the ML4GLand GitHub organization. These files are primarily accessed via the SeqDatasets package (https://github.com/ML4GLand/SeqDatasets).

opencc-by-4.0Sep 2023View details →

One Health EJP 4th Dissemination Workshop: Communication, education and training, and science to policy translation. Lessons learnt and legacy of the One Health EJP

The Dissemination Workshops inform on One Health EJP solutions created in response to stakeholder needs, fostering the link between stakeholders and the consortium. Previous Dissemination Workshops targeted policy and decision makers at the national, European, and international level (reports available <a href="https://onehealthejp.eu/outcomes/science-to-policy-translation/reports">here</a>). This workshop instead is dedicated to all those who would like to set up One Health initiatives, encouraging them to learn from the experience of the One Health EJP. The 4th virtual One Health EJP Dissemination Workshop focuses on the interaction with stakeholders to translate science into policy, the impact of the education and training activities, and strategies used for effective dissemination of One Health solutions. Online presentations are given by the members of the One Health EJP <a href="https://onehealthejp.eu/outcomes/science-to-policy-translation/reports">Science to Policy Translation</a> (WP5), <a href="https://onehealthejp.eu/community/education-and-training">Education and Training</a> (WP6), and Communications Teams. Through this workshop, One Health EJP consortium members provide examples of successful strategies and lessons learnt, with the objective of inspiring all those working in this field or setting up new One Health initiatives and increasing the impact of One Health activities in Europe. This is an important legacy of the One Health EJP. Sessions include: <ol> <li> Welcome and introduction.</li> <li> Education and training: Training a new generation of One Health scientists.</li> <li> Communication and dissemination: How to reach One Health audiences.</li> <li> Interactions with stakeholders: targeted dissemination, support, and advocacy. The example of the One Health EJP.</li> <li> Final round table discussion.</li> </ol> Full details on the briefing agenda.

opencc-by-4.0Apr 2015View details →

Figure 1 A in Cicadas impact bird communication in a noisy tropical rainforest

Figure 1 A comparison of the "soundscape" recorded during two 30 s periods from the same location on 6 July 2012, within secondary wet forest at Las Cruces Biological Station, Costa Rica. (a) A spectrogram from approximately 08:14 AM, before the onset of Zammara cicada choruses and shows 7 unique vocalizations (Arremon aurantiirostris call, Picumnus olivaceus, Arremon torquatus, Catharus aurantiirostris, Arremon aurantiirostris song, Phaeothlypis fulvicauda, Formicarius analis). (b) A spectrogram from approximately 08:50 AM, just after onset of Zammara cicada choruses, which can be seen by the dark, pulsing signal with a base frequency occupying much of the bandwidth between approximately 2.7 and 6.5 kHz. No birds are vocalizing during this period.

opencc-by-4.0Apr 2015View details →

Figure 2 in Cicadas impact bird communication in a noisy tropical rainforest

Figure 2 Rate of overlap, excluding "complete" overlap, between bird and cicada signals before versus after the onset of cicada signaling for 7 recording days during June and July 2012 in secondary wet forest at Las Cruces Biological Station, Costa Rica. The "overlap before" bar represents the number of unique bird vocalizations produced prior to the onset of Zammara chorusing, with spectra that overlap to any degree with the normal base frequency range of Zammara signals. The "overlap after" bar represents the number of unique bird vocalizations with spectra that overlapped to any degree with the actual Zammara signals.

opencc-zeroOct 2023View details →

Sex-related communicative functions of voice spectral energy in human chorusing

Music is a human communicative art whose evolutionary origins may lie in capacities that support cooperation and/or competition. A mixed account favoring simultaneous cooperation and competition draws on analogous interactive displays produced by collectively signalling non-human animals (e.g., crickets and frogs). In these displays, rhythmically coordinated calls serve as a beacon whereby groups of males "cooperatively" attract potential female mates, while the likelihood of each male competitively attracting an actual mate depends on the precedence of his signal. Human behaviour consistent with the mixed account was previously observed in a renowned boys choir, where the basses—the oldest boys with the deepest voices—boosted their acoustic prominence by increasing energy in a high-frequency band of the vocal spectrum when girls were in an otherwise male audience. The current study tested female and male sensitivity and preferences for this subtle vocal modulation in online listening tasks. Results indicate that while female and male listeners are similarly sensitive to enhanced high-spectral energy elicited by the presence of female audience members, only female listeners exhibit a reliable preference for it. Findings suggest that human chorusing is a flexible form of social communicative behavior that allows simultaneous group cohesion and sexually motivated competition.

closedIPD-NOFeb 2026View details →

Pilot Testing of an Equity Focused and Trauma-informed Communication Intervention During Family-centered Rounds

ClinicalTrials.gov study NCT05618652. IPD Sharing: NO. Countries: 1. Publications: 3.

Nalox-Comm: Naloxone Communication Training for Pharmacists

ClinicalTrials.gov study NCT04677387. IPD Sharing: YES. Countries: 1. Publications: 13.

PIMPmyHospital: a Mobile App to Improve Emergency Care Efficiency and Communication

ClinicalTrials.gov study NCT05203146. IPD Sharing: YES. Countries: 1. Publications: 2.

Communication to Improve Shared Decision-Making in ADHD

ClinicalTrials.gov study NCT02716324. IPD Sharing: YES. Countries: 1. Publications: 6.

Improving Patient-Provider Communication to Reduce Mental Health Disparities

ClinicalTrials.gov study NCT04515771. IPD Sharing: YES. Countries: 1. Publications: 3.

publicDec 2022View details →

Vocal communication is tied to interpersonal arousal coupling in caregiver-infant dyads

Open the record for dataset details and reuse information.