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1,896 results for “call”
Pin-tailed whydah and Cape robin-chat calls for passive acoustic monitoring
<p>We provide the audio data (.wav) used to train neural network classifiers along with the corresponding labelled files (.svl). The .svl files are natively read using Sonic Visualiser (https://www.sonicvisualiser.org/) but can directly be read using Python as these are XML files.</p> <p>This is a three class classification dataset. The recordings were obtained using an AudioMoth which was placed at one location in Intaka Island Nature Reserve, Cape Town, South Africa. The recorder was attached to a tree at approximately 1.5 meters from the ground. The sampling rate was set to 48000Hz with a bit rate of 768kbps. The recordings took place in January 2021. While further recordings exist we only provide a small subset here. Additional data can be requested.</p> <p><strong>Files provided</strong></p> <p>Audio.zip - contains audio files (.wav)</p> <p>Annotations.zip - contains the corresponding labels (.svl) for Sonic Visualiser</p> <p><strong>Class description</strong></p> <p>CRC: calls of the Cape robin-chat (Cossypha caffra)</p> <p>PTW: calls of the pin-tailed whydah (Vidua macroura)</p> <p>NOISE: any sound event that does not contain a Cape robin-chat or pin-tailed whydah call</p> <p> </p> <p>Parts of this data was used in two MSc dissertations:</p> <ul> <li>"Acoustic Data Augmentation for Small Passive Acoustic Monitoring Datasets", Aime Nshimiyimana, African Centre of Excellence in Data Science (ACE-DS) of the University of Rwanda, College of Business and Economics</li> <li>"Pre-training neural networks on Xeno-Canto and eBird for bioacoustic classification models", Mikwa Boris Tamanjong, African Centre of Excellence in Data Science (ACE-DS) of the University of Rwanda, College of Business and Economics</li> </ul>
Fig. 1 in Covarvariation In The Great Calls Of Rehabilitant And Wild Gibbons (Hylobates Albibarbis)
Fig. 1. Map showing the two recording sites.
Fig. 1 in New record of Rhinolophus chiewkweeae (Chiroptera: Rhinolophidae) from the east coast of Peninsular Malaysia with new information on their echolocation calls, genetics and their taxonomy
Fig. 1. Latero-ventral view of Rhinolophus chiewkweeae, from Sungai Buweh, Lawit
Data for the detection of the boreal chorus frog (Pseudacris maculata) using environmental DNA and call surveys at 180 ponds sampled in 2017-2018 in southeastern Québec, Canada
<p>The boreal chorus frog (<em>Pseudacris maculata</em>) is at risk of extinction in parts of its range in Canada. Our objectives were to quantify the influence of local and landscape characteristics on the occurrence of the species in wetlands in southern Québec. We hypothesized that site occupancy depends on local characteristics and landscape characteristics contributing to site connectivity. We developed an environmental DNA (eDNA) method to detect the species and compared the detection probability of this method to traditional call surveys. We collected water samples at a total of 180 sites (90 in 2017, 110 in 2018), whereas we surveyed a subset of 63 sites using both eDNA and call surveys in 2018. Site occupancy varied across years, but was higher in sites where the species had been previously detected during the last 12 years by other studies. Site occupancy did not vary with other local and landscape characteristics, in part due to an apparent decrease in the number of sites occupied by the species since the last 12 years. Detection probability via eDNA (0.81; 95% CI: [0.31; 0.98]) did not differ from that of call surveys (0.62; 95% CI: [0.25; 0.89]). To identify the optimal sampling period for the boreal chorus frog, future studies should estimate the detection probability of eDNA during the breeding season and the larval development period of the species.</p>
Data and R code from: Nature calls: intelligence and natural foraging style predict welfare problems in captive parrots
<p>Around half of all parrots (a highly threatened order) live in captivity. Here, some species thrive. Others, however, breed poorly or display stereotypic behaviours indicating stress. Using data on the prevalence of three types of stereotypic behaviour in pet (50 species; 1,378 individuals) and aviculture hatch rates (115 species; 10,255 breeding pairs), we applied Phylogenetic Comparative Methods (PCMs) to test hypothesised causes of this variation (relating to species' rarity and constraints on natural behaviour). In the first empirical evidence that high intelligence increases vulnerability to poor captive welfare, species with large relative brain sizes were found to be most at risk of oral and whole-body stereotypic behaviour. This suggests that if they are to be kept in private homes, such parrots must be offered substantially more cognitive stimulation. Self-harming behaviours involving feather damage were predicted by naturally relying on food items that require substantial handling, highlighting inadequacies in captive diets (often highly processed); while relatively low hatch rates in aviculture were predicted by small captive population sizes, potentially due to genetic bottlenecks, inbreeding, and/or low availability of compatible mates. These novel findings should help advance captive parrot husbandry, and inspire further research applying PCMs to understand and improve animal welfare.</p>
Malus species SNP calls VCF
<p>Bgzipped vcf and tabix index files of Malus species SNP calls of 168 individuals on the GDDH13 v1.1 assembly.</p>
From Forensics to Clinical Research: Expanding the Variant Calling Pipeline for the Precision ID mtDNA Whole Genome Panel
<p>In this dataset we provide the 1000 Genomes Project's samples processed in our manuscript:</p> <p>Cortes-Figueiredo, F.; Carvalho, F.S.; Fonseca, A.C.; Paul, F.; Ferro, J.M.; Schönherr, S.; Weissensteiner, H.; Morais, V.A. From Forensics to Clinical Research: Expanding the Variant Calling Pipeline for the Precision ID mtDNA Whole Genome Panel. <em>Int. J. Mol. Sci</em>. <strong>2021</strong>, <em>22</em>, 12031. <a href="https://doi.org/10.3390/ijms222112031">https://doi.org/10.3390/ijms222112031</a><em>.</em></p> <p><strong>Abstract</strong></p> <p>Despite a multitude of methods for the sample preparation, sequencing, and data analysis of mitochondrial DNA (mtDNA), the demand for innovation remains, particularly in comparison with nuclear DNA (nDNA) research. The Applied Biosystems™ Precision ID mtDNA Whole Genome Panel (Thermo Fisher Scientific, USA) is an innovative library preparation kit suitable for degraded samples and low DNA input. However, its bioinformatic processing occurs in the enterprise Ion Torrent Suite™ Software (TSS), yielding BAM files aligned to an unorthodox version of the revised Cambridge Reference Sequence (rCRS), with a heteroplasmy threshold level of 10%. Here, we present an alternative customizable pipeline, the PrecisionCallerPipeline (PCP), for processing samples with the correct rCRS output after Ion Torrent sequencing with the Precision ID library kit. Using 18 samples (3 original samples and 15 mixtures) derived from the 1000 Genomes Project, we achieved overall improved performance metrics in comparison with the proprietary TSS, with optimal performance at a 2.5% heteroplasmy threshold. We further validated our findings with 50 samples from an ongoing independent cohort of stroke patients, with PCP finding 98.31% of TSS’s variants (TSS found 57.92% of PCP’s variants), with a significant correlation between the variant levels of variants found with both pipelines.</p> <p><br> Please refer to our the github page <a href="https://github.com/filcfig/PCP.git">filcfig/PCP</a>, for more details on running the PrecisionCalllerPipeline.</p>
Temporal structure of two call types produced by competing male cicadas
<p><span>We investigated the behavior of <em>Meimuna oparifera</em>, which utilize two types of calls at close range. The calls were recorded multiple times with different pairs of cicadas. This data includes the type, onset and end of each call. Utilizing this data, you can quantify how <em>M</em>. <em>opalifera</em> responded to the calls of another male by calculating a phase difference.</span></p>
Phenotypic traits evolution and morphological traits associated with echolocation calls in cryptic horseshoe bats (Rhinolophidae)
<p><span>Bats provide an excellent case study for studying evolution due to their remarkable flight and echolocation capabilities. In this study, we sought to understand the phenotypic evolution of key traits in Rhinolophidae (horseshoe bats) using phylogenetic comparative methods. We aim to test the phylogenetic signals of traits and evaluated the best-fit evolutionary models given the data for each trait considering different traits may evolve under different models (i.e., Brownian Motion (BM), Ornstein-Uhlenbeck (OU) and Early Burst (EB)) and reconstruct ancestral character states. We examined how phenotypic characters are associated with echolocation calls and minimum detectable prey size. We measured 34 traits of 10 Asian rhinolophids species (187 individuals). We found that the majority of traits showed a high phylogenetic signal based on Blomberg's K and Pagel's λ, but each trait may evolve under different evolutionary models. Sella traits were shown to evolve under stabilizing selection based on OU models, indicating sella traits have the tendency to move forward along the branches toward some medial value in equilibrium. Our findings highlight the importance of sella characters in association with echolocation call emissions in Rhinolophidae, as calls are important for spatial cognition and also influence dietary preferences. Minimum detectable prey size in Rhinolophidae was associated with call frequency, bandwidth, call duration, wingspan and wing surface area. Ultimately, understanding trait evolution requires sensitivity due to the differential selective pressures which may apply to different characteristics.</span></p>
Neotropical forest soundscapes with call identifications for katydids
<p><span><span><span><span>Insects are an integral part of terrestrial ecosystems, but while they are ubiquitous, they can be difficult to census. Passive acoustic recording can provide detailed information on the spatial and temporal distribution of sound producing insects. We placed recording devices in the forest canopy on Barro Colorado Island in Panamá and identified katydid calls in recordings to assess what species were present, in which seasons they were signaling, and how often they called. The focal recordings were collected at a height of 24 meters in two replicate sites, sampled three times per night across five months, spanning both wet and dry seasons. Katydid calls were commonly detected in recordings, but the call repetition rates of many species were quite low, consistent with findings from individual focal recordings. The recordings contained 6,789 calls with visible pulse structure. Of these, we identified 4,371 to species with the remainder representing calls that could not be identified to species. The identified calls corresponded to 24 species, with 15 of these species detected at both replicate sites. Katydid calls were detected throughout the night. Most species were detected at all three timepoints in the night, although some species called more just after dusk and just before dawn. The annotated dataset provided here serves as an archival sample of the species diversity and number of calls present in the forest canopy of Barro Colorado Island, Panama. These hand-annotated data will also be key for evaluating automated approaches to detecting and classifying insect calls. In changing forests and with potentially declining insect populations, consistent approaches for insect sampling will be key for generating interpretable and actionable data.</span></span></span></span></p>
Call to Action: Overcoming Enrollment Disparities in Cancer Clinical Trials with Modernized Eligibility Criteria
<p>Dataset used for paper: "Call to Action: Overcoming Enrollment Disparities in Cancer Clinical Trials with Modernized Eligibility Criteria." Data extracted from clinicaltrials.gov.</p>
data from "Temperate bats may alter calls to partially compensate for weather-induced changes in detection distance"
<p>Echolocation call parameters of three species of European bats collected between 2017-2019, recorded with a microphone array. This dataset is associated to the manuscript "Temperate bats may alter calls to partially compensate for weather-induced changes in detection distance". Included is the R script used for statistical analyses, as well as the R script used to model detection distances of different targets by bats across weather conditions.</p>
Review of Open Call Record Datasets concerning the U.S. 911 Emergency Response System
<p>The data available here identifies and describes a sampling of publicly available datasets about the 911 emergency response system. This list of datasets is a resource for researchers, civic technologists, activists, and journalists seeking to learn more about the 911 emergency response system. The list helps to identify relevant datasets that could be used to understand various types of 911 activity.</p> <p>During the first quarter of 2021, the R911 NAT created a list of priority cities including the top 100 cities by population, all state capitals, and the 82 cities that are home to Code for America Brigades. The team then conducted internet searches for each city using terms like “<em>911 calls for service</em>” and “<em>open 911 data</em>.” The dataset and a codebook defining each of these fields are provided as .csv files within a zip file.</p> <p><strong>Note</strong>: this file <em>does not contain the actual 911 datasets</em>, which often number in the millions of records. The <em>data_link</em> field contains the URL of the site where each dataset is publicly available.</p> <p><strong>See also</strong>: The Reimagine 911 knowledge base at: <a href="https://reimagine-911.gitbook.io/knowledge-base">https://reimagine-911.gitbook.io/knowledge-base</a></p> <p><strong>Contributors</strong>: This open data review was performed by the Code for America Reimagine 911 National Action Team. Contributing team members include: Aleks Hatfield, Brandon Bolton, Chizo Nwagwu, Dan Stormont, Elaine Chow, Em Spalti, Erica Pauls, Gio Sce, Gregory Janesch, Iva Momcheva, Ivelina Momcheva, Jamie Klenetsky Fay, Jason Trout, Jaya Prasad Jayakumar, Jennifer Miller, Jim Grenadier, Joanna Smith, Jonathan Melvin, Katlyn McGraw, Margaret Fine, Mariah Lynch, Micah Mutrux, Michelle Hoogenhout, Patina Herring, Peter Zeglen, Sarah Graham, Sebastian Barajas</p>
04 - What is this thing called science?
<p> </p> <p>Session #4 of the REINFORCE Critical & Scientific Thinking course, entitled, 'What is this thing called science?', is given by Stefano Gattei, Professor of Science in Society, at the University of Trento, Italy.</p> <p>In this session, Prof. Gattei, places the so-called Second Scientific Revolution in a historical context, exploring the key figures involved and building the foundations for the sessions to come.</p>
Fibertools: fast and accurate m6A calling using single-molecule long-read sequencing (ML data)
<p>Fibertools is a convolutional neural network that permits the fast and accurate identification of endogenous and exogenous N6-methyladenine (m6A)-marked bases using single-molecule long-read sequencing.<strong> </strong>This dataset (ML data) provides training and validation data for training fibertools supervised and semi-supervised CNN models for three long-read chemistries.</p>
Calle Ramón Menéndez Pidal
<p>Participation in the radio programe <em>A Vivir La Rioja</em> (Radio Rioja - Cadena Ser) with an episode dedicated to the life and work of the Spanish philologist Ramón Menéndez Pidal through the street named after him in Lardero (La Rioja, Spain). The podcast can be listened at: <a href="https://cadenaser.com/rioja/2023/01/08/calle-ramon-menendez-pidal-radio-rioja/?fbclid=IwAR1sN_Ux_WIzjU5ENPhSH_aGgN7WAV6HZxcSrvleU_uLUd00Yst1rMCtm-4">https://cadenaser.com/rioja/2023/01/08/calle-ramon-menendez-pidal-radio-rioja/?fbclid=IwAR1sN_Ux_WIzjU5ENPhSH_aGgN7WAV6HZxcSrvleU_uLUd00Yst1rMCtm-4</a></p> <p>Participación en el programa de radio <em>A Vivir La Rioja</em> (Radio Rioja - Cadena Ser) con un episodio dedicado a la vida y obra del filólogo español Ramón Menéndez Pidal a través de la calle que lleva su nombre en Lardero (La Rioja, España). El pódcast puede escucharse en: <a href="https://cadenaser.com/rioja/2023/01/08/calle-ramon-menendez-pidal-radio-rioja/?fbclid=IwAR1sN_Ux_WIzjU5ENPhSH_aGgN7WAV6HZxcSrvleU_uLUd00Yst1rMCtm-4">https://cadenaser.com/rioja/2023/01/08/calle-ramon-menendez-pidal-radio-rioja/?fbclid=IwAR1sN_Ux_WIzjU5ENPhSH_aGgN7WAV6HZxcSrvleU_uLUd00Yst1rMCtm-4</a></p> <ul> </ul>
Dataset for "Non-canonical possessive constructions in Negidal and other Tungusic languages: a new analysis of the so-called 'alienable possession' suffix"
<p>This is the dataset used in the paper: Aralova, N. & Pakendorf, B. (2023). Non-canonical possessive constructions in Negidal and other Tungusic languages: a new analysis of the so-called “alienable possession” suffix. Special Issue “Re-assessing the explanatory potential of alienability contrasts”, guest-edited by Françoise Rose & An Van linden. <em>Linguistics</em>. <a href="https://doi.org/10.1515/ling-2022-0030">https://doi.org/10.1515/ling-2022-0030</a></p> <p>For more details, see the ReadMe file.</p>
Sensed Data of Indoor Monitoring Framework in Aedes Architecture Forum Exhibition called Living Prototypes
<p>The presented Dataset is part of an ongoing EU-funded project called Eco-Metabolistic Architecture at the Royal Danish Academy - CITA in Copenhagen, Denmark. The collected data is part of Indoor Monitoring Framework sensed data (temperature and humidity) stored in InfluxDB in CSV format for Living Prototype Exhibition at Aedes Forum in Berlin for a period of 35 days. The dataset can be used in InfluxDB and Grafana for visualization. </p>
Supplementary materials for: Actually accessible data: An update and a call to action
<p>These are the supplementary materials for the article "Actually Accessible Data: An Update and a Call to Action." The project contains three files:</p> <ol> <li>Colon-Karcher-Goben_Accessibility-of-Popular-Data-Repositories.xlsx shows the results of automated accessibility checks of seven popular data repositories in the United States and Europe. For each repository a search or browse page as well as a typical dataset landing page were selected and checked with two prominent accessibility tools AXE (https://www.deque.com/axe/) and WAVE (https://wave.webaim.org/). Checks were initially performed in Spring 2022. The reported (mostly unchanged) results are from tests on April 25, 2023. They were performed using Firefox 112.0.2 for Windows with both browser add-ons installed, AXE v. 4.6.3, WAVE v. 3.2.</li> <li>Colon-Goben-Karcher_Acessibility-FLOSS-Repositories.xlsx describes the treatment of digital accessibility in the developer-oriented documentation of six popular open-source (data) repository software projects. The project documentation was reviewed by two researchers with a background in open source software (Karcher as well as a graduate assistant at the Qualitative Data Repository) who looked for specific sections on accessibility and also used search terms to identify relevant sections. This document reflects the status as of April 2022.</li> <li>Colon-Goben-Karcher_Search-Strategies.docx Briefly discusses the literature search strategies conducted for relevant literature. Initial searches in Google Scholar and Scopus were performed in March-April 2022. Additional searches in LISTA are from March-April 2023.</li> </ol>
Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls
<p>Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls</p> <p>This repository holds the data associated to the <a href="https://tma.ifip.org/2023/accepted-papers/">TMA 2023</a> <a href="https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-grote-mvca-fairness.pdf">paper</a> of the same name.</p> <p>Publication</p> <ul> <li>Laurenz Grote, Ike Kunze, Constantin Sander, and Klaus Wehrle: <em>Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls</em>. In Proceedings of the IFIP/IEEE Network Traffic Measurement and Analysis Conference (TMA '23), 2023.</li> </ul> <p>If you use any portion of our work, please consider citing our publication.</p> <pre><code>@Inproceedings {2023-grote-mvca-fairness, title = {Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls}, year = {2023}, month = {6}, publisher = {IFIP/IEEE}, booktitle = {Proceedings of the Network Traffic Measurement and Analysis Conference (TMA '23)}, author = {Grote, Laurenz and Kunze, Ike and Sander, Constantin and Wehrle, Klaus} } </code></pre> <p>data/: Dataset</p> <p>Holds the data set containing all the data plotted in the paper as well as additional measurements. Data format:</p> <p>All measurements are indexed by <code>index.csv</code>. Every row in this file identifies a measurement by a GUID and contains all relevant metadata (scenario type, available bandwidth...). Statistics on the packet level (throughput, queueing, loss and whether the call broke down during the experiment) are supplemented by <code>index_avgbwdist.csv</code>. You should be able to easily join these files on the GUID column.</p> <p>Where applicable, <code>index_qoe.csv</code> contains the aggregate BRISQUE value for the entire call as described in the paper.</p> <p>The bandwidth profile style (Figure 3) measurements are contained in <code>bwprofiles.csv.gz</code>. After decompression, you get all throughput samples of all measurement calls concatenated together.</p> <p>code/: Code Repository</p> <p>Contains the code used to instrument the test bed. Undocumented and never deployed beyond our very own test bed. The code is not runnable as-is. You need prepare the testbed computers as well as configure IP addresses, hostnames, paths and e-mail addresses within the code base. Beyond here might be dragons.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.