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10,331 results for “signaling”
Received Signal Srength (RSS) urban measurements from GSM and UMTS networks for cellular-based positioning
<p>GSM (2G) and UMTS (3G) urban measurement data for cellular-based positioning. The data has been collected in Tampere city, Finland with a mobile phone with proprietary software. The data is given in Matlab *mat format and it contains a cell variable called BS_grid* which shows the GPS coordinates (x,y,z) (converted in local coordinates, in meter values) and the collected RSS value (in dB) per transmitter (i.e., BS or Node B). Each cell contains a N x 4 matrix, whose rows are [x y z RSS]. N is the number of measurements points in which the corresponding Base Station were heard. The size of the BS_grid* cells is equal to the number of heard Base Stations in the measured area. </p> <p>Example of research results based on these measurements can be found for example in:</p> <ul> <li>H. Nurminen, J. Talvitie, S. Ali-Loytty, P. Muller, E.S. Lohan, R. Piche, M. Renfors, "Statistical path loss parameter estimation and positioning using RSS measurements", Journal of Global Positioning Systems, vol. 12(1), 2013, ISSN 1446-3156.</li> </ul>
Audio files of beat note between WWV-10 carrier wave and GPS reference signal
<p>NAME : Martin Potter, VE3OAT<br> GEOPOSIT : 45 15' 9.023" N 75 35' 27.60" W (Maidenhead FN25eg)<br> START TIME : 1400 UT<br> STATION CONFIG :<br> Multi-band vertical antenna with 18 radials.<br> Receiver Yaesu FTdx1200 in AM mode with audio bandwidth limited to<br> 800-1200 Hz (18 dB/octave roll-off).<br> Trimble Thunderbolt 10 MHz output to HP 3325B sig generator set<br> to 9999 kHz and injected to station antenna.<br> Measured nominal 1 kHz beat note between WWV-10 and sig generator<br> using SpectrumLab software. Audio WAV file recorded by SpectrumLab. <br> <br> Note : On 20 Aug, receiver AGC was ON. On 21 Aug, receiver AGC was<br> OFF and audio output level was set using RF Gain control. </p> <p> </p>
MOVING: a Multi-MOdal dataset of EEG signals and VIrtual Glove hand trackING
<p>A new Multi-modal dataset comprising neural EEG signals and kinematic data associated with three hand movements — open/close, finger tapping, and wrist rotation — along with a rest period. The dataset, obtained from eleven subjects using a 32-channel dry wireless EEG system, also includes synchronized kinematic data captured by a Virtual Glove (VG) system equipped with two orthogonal Leap Motion Controllers. The use of these two devices allows for fast assembly (~ 1 minute) while introducing more noise than the gold standard devices for data acquisition. The data set, obtained from 11 subjects using a 32-channel dry wireless EEG system, also includes synchronized kinematic data captured by a Virtual Glove (VG) system equipped with two orthogonal Leap Motion Controllers. </p> <p>For citation please refer to the paper:<br>Mattei, E.; Lozzi, D.; Di Matteo, A.; Cipriani, A.; Manes, C.; Placidi, G. MOVING: A Multi-Modal Dataset of EEG Signals and Virtual Glove Hand Tracking. Sensors 2024,24, 5207. https://doi.org/10.3390/s24165207 </p> <p><strong>References</strong>:</p> <p>Placidi, Giuseppe. "<em>A smart virtual glove for the hand telerehabilitation.</em>" Computers in Biology and Medicine 37.8 (2007): 1100-1107.</p> <p>Placidi, Giuseppe, et al. "<em>Measurements by a LEAP-based virtual glove for the hand rehabilitation.</em>" Sensors 18.3 (2018): 834.</p> <p>Placidi, Giuseppe, et al. "<em>Patient–therapist cooperative hand telerehabilitation through a novel framework involving the virtual glove system.</em>" Sensors 23.7 (2023): 3463.</p>
Reproduction package for "A strong H− opacity signal in the near-infrared emission spectrum of the ultra-hot Jupiter KELT-9b"
<p>This is a basic reproduction package for the paper "A strong H− opacity signal</p><p>in the near-infrared emission spectrum of the ultra-hot Jupiter KELT-9b"</p><p>by [Jacobs, B.; Désert, J. -M.; Pino, L. et al. (2022)](https://doi.org/10.1051/0004-6361/202244533).</p><p> </p><p>Abstract:</p><p>We present the analysis of a spectroscopic secondary eclipse of the hottest transiting exoplanet detected to date, KELT-9b, obtained with the Wide Field Camera 3 aboard the <i>Hubble</i> Space Telescope. We complement these data with literature information on stellar pulsations and <i>Spitzer</i>/Infrared Array Camera and Transiting Exoplanet Survey Satellite eclipse depths of this target to obtain a broadband thermal emission spectrum. Our extracted spectrum exhibits a clear turnoff at 1.4 μm. This points to H− bound-free opacities shaping the spectrum. To interpret the spectrum, we perform grid retrievals of self-consistent 1D equilibrium chemistry forward models, varying the composition and energy budget. The model with solar metallicity and C/O ratio provides a poor fit because the H− signal is stronger than expected, requiring an excess of electrons. This pushes our retrievals toward high atmospheric metallicities ([M/H] = 1.98−0.21+0.19) and a C/O ratio that is subsolar by 2.4<i>σ</i>. We question the viability of forming such a high-metallicity planet, and therefore provide other scenarios to increase the electron density in this atmosphere. We also look at an alternative model in which we quench TiO and VO. This fit results in an atmosphere with a slightly subsolar metallicity and subsolar C/O ratio ([M/H] = −0.22−0.13+0.17, log (C/O) = −0.34−0.34+0.19). However, the required TiO abundances are disputed by recent high-resolution measurements of the same planet.</p>
Phylogenomic analysis of cell-surface receptors and downstream signaling components in the plant lineage
<p>Here we identified cell-surface receptors and downstream signaling components from the genomes of 350 plant species. </p><p>Zip file contains:</p><p>Folder 'seqeunces for downstream signaling components' - FASTA and TREE files of the identified downstream signaling components.</p><p>Folder 'sequences for cell-surface receptors' - FASTA and TREE files of the identified cell-surface receptors.</p><p>Folder 'Specific analysis' - Contains specific analysis for the identified cell-surface receptors.</p><p>Subfolder 'ID analysis' - Contains information on ID clusters and motifs analysis in IDs.</p><p>Subfolder 'LRR motif gap analysis' - Contains information on small (10-29 aa) and large (30-90) gaps between LRR motifs in RLPs and RLKs.</p><p>Subfolder 'LRR-RLK & LRR-RLP phylogenetic analysis' - Contains FASTA and TREE files of the specific domain/regions (C3, C3-F, eJM-TM-cJM, and all) in LRR-RLPs and LRR-RLKs. This subfolder also contains the specific amino acid, charge and motif analysis in this region (see C3F-end features.xlsx).</p><p>Protein counts per species file - Contains the total number of each protein family/subfamily in each of the 350 species.</p><p>simpleToFullNames (translator file)- Translator file for the original ID of each gene. </p>
A computational neuroscience framework for quantifying warning signals
<p>Animal warning signals show remarkable diversity, yet subjectively appear to share certain visual features that make defended prey stand out and look different from more cryptic palatable species. For example, many (but far from all) warning signals involve high contrast elements, such as stripes and spots, and often involve the colours yellow and red. How exactly do aposematic species differ from non-aposematic ones in the eyes (and brains) of their predators?</p> <p>Here we develop a novel computational modelling approach, to quantify prey warning signals and establish what visual features they share. First, we develop a model visual system, made of artificial neurons with realistic receptive fields, to provide a quantitative estimate of the neural activity in the first stages of the visual system of a predator in response to a pattern. The system can be tailored to specific species. Second, we build a novel model that defines a 'neural signature', comprising quantitative metrics that measure the strength of stimulation of the population of neurons in response to patterns. This framework allows us to test how individual patterns stimulate the model predator visual system.</p> <p>For the predator-prey system of birds foraging on lepidopteran prey, we compared the strength of stimulation of a modelled avian visual system in response to a novel database of hyperspectral images of aposematic and undefended butterflies and moths. Warning signals generate significantly stronger activity in the model visual system, setting them apart from the patterns of undefended species. The activity was also very different from that seen in response to natural scenes. Therefore, to their predators, lepidopteran warning patterns are distinct from their non-defended counterparts, and stand out against a range of natural backgrounds.</p> <p>For the first time, we present an objective and quantitative definition of warning signals based on how the pattern generates population activity in a neural model of the brain of the receiver. This opens new perspectives for understanding and testing how warning signals have evolved, and, more generally, how sensory systems constrain signal design.</p>
Predator selection on multicomponent warning signals in an aposematic moth
<p>Aposematic prey advertise their unprofitability with conspicuous warning signals that are often composed of multiple color patterns. Many species show intraspecific variation in these patterns even though selection is expected to favor invariable warning signals that enhance predator learning. However, if predators acquire avoidance to specific signal components, this might relax selection on other aposematic traits and explain variability. Here we investigated this idea in the aposematic moth <em>Amata</em> <em>nigriceps</em> that has conspicuous black and orange coloration. The size of the orange spots in the wings is highly variable between individuals, whereas the number and width of orange abdominal stripes remain consistent. We produced artificial moths that varied in the proportion of orange in the wings or the presence of abdominal stripes. We presented these to a natural avian predator, the noisy miner (<em>Manorina</em> <em>melanocephala</em>), and recorded how different warning signal components influenced their attack decisions. When moth models had orange stripes on the abdomen, birds did not discriminate between different wing signals. However, when the stripes on the abdomen were removed, birds chose the model with smaller wing spots. In addition, we found that birds were more likely to attack moths with a smaller number of abdominal stripes. Together, our results suggest that bird predators primarily pay attention to the abdominal stripes of <em>A. nigriceps,</em> and this could relax selection on wing coloration. Our study highlights the importance of considering individual warning signal components if we are to understand how predation shapes selection on prey warning coloration.</p>
Figs 1–4 in New Taxa of Signal Flies (Diptera: Platystomatidae) of New Caledonia
Figs 1–4. Dayomyia molens. (1) Head. (2) Scutellum, dorsal view. (3) Distal part of aedeagus, scale = 0.2 mm. (4) Wing.
Fig. 3 in Cephalic labial gland secretions of males as species recognition signals in bumblebees: are there really geographical variations in the secretions of the Bombus terrestris subspecies? (Hymenoptera: Apidae: Bombus)
Fig. 3: Map with pie charts for the eight, probably 'active', compounds ('active' compounds = 100 %), illustrating the composition of labial gland secretions of B. terrestris.
Fig. 1 in Cephalic labial gland secretions of males as species recognition signals in bumblebees: are there really geographical variations in the secretions of the Bombus terrestris subspecies? (Hymenoptera: Apidae: Bombus)
Fig. 1: Linear regression of the percentage of the total peak area of 2,3-dihydrofarnesol dodecanoate vs. 2,3-dihydrofarnesol for males of B. terrestris terrestris (Ter-07) aged 14 days (●) and 21 days (▲) old; see Table 2 for details.
Western blots supporting "Phosphatases modified by LH signaling in ovarian follicles: testing their role in regulating the NPR2 guanylyl cyclase"
<p>Western blots used to generate figures 2-6 and S4 of the publication, Egbert JR, Silbern I, Uliasz TF, Lowther KM, Yee S-P, Urlaub H, and Jaffe LA. 2023. Phosphatases modified by LH signaling in ovarian follicles: testing their role in regulating the NPR2 guanylyl cyclase. <i>Biology of Reproduction</i>, ioad130. <a href="https://doi.org/10.1093/biolre/ioad130">https://doi.org/10.1093/biolre/ioad130</a></p>
Collective synchrony of mating signals modulated by ecological cues and social signals in bioluminescent sea fireflies
<p><span>Individuals often employ simple rules that can emergently synchronise behaviour. Some collective behaviours are intuitively beneficial, but others like mate signalling in leks occur across taxa despite theoretical individual costs. Whether disparate instances of synchronous signalling are similarly organised is unknown, largely due to challenges observing many individuals simultaneously. Recording field collectives and <em>ex situ</em> playback experiments, we describe principles of synchronous bioluminescent signals produced by marine ostracods (Crustacea; Luxorina) that seem behaviorally convergent with terrestrial fireflies, and with whom they last shared a common ancestor over 500 mya. Like synchronous fireflies, groups of signalling males use visual cues (intensity and duration of light) to decide when to signal. Individual ostracods also modulate their signal based on the distance to nearest neighbours. During peak darkness, luminescent "waves" of synchronous displays emerge and ripple across the sea floor every ~60 seconds, but such periodicity decays within and between nights after the full moon. Our data reveal these bioluminescent aggregations are sensitive to both ecological and social light sources. Because the function of collective signals is difficult to dissect, evolutionary convergence, like in the synchronous visual displays of diverse arthropods, provides natural replicates to understand the generalities that produce emergent group behaviour.</span></p>
Maternal effects on the advertisement signals and mate preferences of adult offspring in Enchenopa treehoppers (Hemiptera: Membracidae)
<p>We tested for maternal effects on the mating signals and mate preferences of adult offspring in a plant-feeding insect that communicates via plant-borne vibrational signals. We experimentally manipulated an aspect of the social environment experienced by egg-laying mothers: aggregation density. We detected a strong maternal effect in a male signal trait, with sons of mothers that experienced low aggregation density signaling more. We also detected a weak maternal effect on female mate preferences, with daughters of mothers that experienced low aggregation density being less selective. We discuss the evolutionary consequences of these maternal effects in terms of the signal-preference relationship; the maintenance of variation under selection; whether they may be beneficial for offspring; and potential mechanisms that may be involved in their expression.</p>
Data for Altered Glia-Neuron Communication in Alzheimer's Disease Affects WNT, p53, and NFkB Signaling Determined by snRNA-seq
<p><strong>data.tar.gz contains all files from the data directory associated with the 230313_TS_CCCinHumanAD GitHub project and includes the following:</strong></p><ul><li><strong>CellRangerCounts/</strong><ul><li><strong>GSE157827/</strong><ul><li><strong>post_soupX/ : </strong>contains 21 directories for 21 samples, which each contain 3 files obtained from ambient RNA removal with soupX. Below is a representative example, but this repo contains 1 directory per sample:<ul><li><strong>SAMN16100290_S01_AD/</strong><ul><li><strong>barcodes.tsv</strong></li><li><strong>genes.tsv</strong></li><li><strong>matrix.mtx</strong></li></ul></li></ul></li><li><strong>pre_soupX/ : </strong>contains 21 directories for 21 samples, which each contain 2 files obtained from Cell Ranger after aligning fastq files to the reference genome. Below is a representative example, but this repo contains 1 directory per sample:<ul><li><strong>SAMN16100290_S01_AD/</strong><ul><li><strong>filtered_feature_ bc_matrix.h5</strong></li><li><strong>Raw_feature_bc_matrix.h5</strong></li></ul></li></ul></li></ul></li><li><strong>GSE174367/ : </strong>contains 19 directories for 19 samples, which contain 3 files each from Cell Ranger alignment of fastq files to the reference genome. Below is a representative example, but this repo contains 1 directory per sample:<ul><li><strong>SAMN19128610_S1_CTRL/</strong><ul><li><strong>barcodes.tsv</strong></li><li><strong>genes.tsv</strong></li><li><strong>Matrix.mtx</strong></li></ul></li></ul></li></ul></li><li><strong>ccc/</strong><ul><li><strong>nichenet_grn/</strong><ul><li><strong>gr_network_human_21122021.rds : </strong>accessed in October 2023, gene regulation network – gene regulatory information from MultiNicheNet</li><li><strong>ligand_tf_matrix_nsga2r_final.rds: </strong>accessed in October 2023, ligand tf matrix for signaling path determination from MultiNicheNet</li><li><strong>signaling_network_human_21122021.rds : </strong>accessed in October 2023, signaling network – protein-protein interaction information from MultiNicheNet</li><li><strong>weighted_networks_nsga2r_final.rds : </strong>accessed in October 2023, networks weighted by literature evidence from MultiNicheNet</li></ul></li><li><strong>nichenet_prior/</strong><ul><li><strong>ligand_target_matrix.rds : </strong>accessed in April 2023, ligand to target matrix from NicheNet</li><li><strong>lr_network.rds : </strong>accessed in April 2023, ligand-receptor matrix from NicheNet</li></ul></li><li><strong>nichenet_v2_prior/</strong><ul><li><strong>ligand_target_matrix_nsga2r_final.rds : </strong>accessed in June 2023, ligand to target matrix from MultiNicheNet used to predict target genes.</li><li><strong>lr_network_human_21122021.rds : </strong>accessed in June 2023, ligand-receptor matrix from MultiNicheNet used to predict ligand-receptor pairs.</li></ul></li><li><strong>geo_multinichenet_output.rds </strong>: MultiNicheNet output for Morabito et al., 2021 data</li><li><strong>geo_signaling_igraph_objects.rds </strong>: list of igraph objects for 17 overlapping LRTs and their signaling mediators in the Morabito et al., 2021 dataset. </li><li><strong>gse_multinichenet_output.rds</strong> : MultiNicheNet output for Lau et al., 2020 data</li><li><strong>gse_signaling_igraph_objects.rds</strong> : list of igraph objects for 17 overlapping LRTs and their signaling mediators in the Lau et al., 2020 dataset </li></ul></li><li><strong>seurat_preprocessing/</strong><ul><li><strong>geo_filtered_seurat.rds : </strong>merged and filtered seurat object of Morabito et al., 2021 data</li><li><strong>geo_integrated_seurat.rds :</strong> seurat object integrated using harmony of Morabito et al., 2021 data</li><li><strong>geo_clustered_seurat.rds : </strong>clustered seurat object of Morabito et al., 2021 data</li><li><strong>geo_processed_seurat.rds : </strong>processed seurat object with final cell type assignments at specified resolution of Morabito et al., 2021 data</li><li><strong>gse_filtered_seurat.rds : </strong>merged and filtered seurat object of Lau et al., 2020 data</li><li><strong>gse_integrated_seurat.rds : </strong>seurat object integrated using harmony of Lau et al., 2020 data</li><li><strong>gse_clustered_seurat.rds :</strong> clustered seurat object of Lau et al., 2020 data</li><li><strong>gse_processed_seurat.rds : </strong>processed seurat object with final cell type assignments at specified resolution of Lau et al., 2020 data </li></ul></li></ul>
Supporting data sets for "Evolutionary analyses of IDRs reveal widespread signals of conservation"
<p>S1: Disorder and order regions of alignments computed from AUCPreD scores which passed the 30 residue minimum length and phylogenetic diversity filters. The "ppids" column indicates the sequences in each alignment which were not excluded due these and other filtering criteria. See the main text methods for more details.<br><br>S2: Substitution model parameters fit to meta-alignments derived from disorder and order filtered regions.<br><br>S3: Features of segments in all regions.<br><br>S4: Contrasts and root estimates of disorder scores in filtered regions computed with Felsenstein's contrasts algorithm.<br><br>S5: Contrasts and root estimates of features in filtered regions computed with Felsenstein's contrasts algorithm.<br><br>S6: Estimated BM and OU model parameters of simulated data.<br><br>S7: Estimated BM and OU model parameters of features in filtered regions computed with maximum likelihood.</p><p> </p>
Ripple effects in a communication network: Anti-eavesdropper defence elicits elaborated sexual signals in rival males
<p>Emitting conspicuous signals into the environment to attract mates comes with the increased risk of interception by eavesdropping enemies. As a defence, a commonly described strategy is for signallers to group together in leks, diluting each individual's risk. Lekking systems are often highly social settings in which competing males dynamically alter their signalling behaviour to attract mates. Thus, signalling at the lek requires navigating fluctuations in risk, competition, and reproductive opportunities. Here, we investigate how behavioural defence strategies directed at an eavesdropping enemy have cascading effects across the communication network. We investigated these behaviours in the túngara frog (<em>Engystomops pustulosus</em>), examining how a calling male's swatting defence directed at frog-biting midges indirectly affects the calling behaviour of his rival. We found that the rival responds to swat-induced water ripples by increasing his call rate and complexity. Then, performing phonotaxis experiments, we found that eavesdropping fringe-lipped bats (<em>Trachops cirrhosus</em>) do not exhibit a preference for a swatting male compared to his rival, but females strongly prefer the rival male. Defences to minimize attacks from eavesdroppers thus shift the mate competition landscape in favour of rival males. By modulating the attractiveness of signalling prey to female receivers, we posit that eavesdropping micropredators likely have an unappreciated impact on the ecology and evolution of sexual communication systems.</p>
Data Sets ''Kombucha--Proteinoid Biosynthetic Classifiers of Audio Signals''
<p>These voltage signals represent the electrical response generated by the Kombucha-Proteinoid biosynthetic system when exposed to various audio signals. The analysis of this voltage signal data contributes to the understanding and development of novel audio classification methods based on organic systems.</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>
Fig. 5 in Systematic revision of a Miocene sperm whale from Patagonia, Argentina, and the phylogenetic signal of tympano-periotic bones in Physeteroidea
Fig. 5. Schematic comparisons of the periotic of MLP 76-IX-5-1, "Preaulophyseter gualichensis" Caviglia and Jorge, 1980 (A) with "Aulophyseter" rionegrensis (B), Acrophyseter deinodon (C, modified from Lambert et al. 2016), Zygophyseter varolai (D, modified from Bianucci and Landini 2006), Aulophyseter morricei (E, modified from Kellogg 1927), Orycterocetus crocodilinus (F, modified from Kellogg 1965), and Physeter macrocephalus (G, modified from Kasuya 1973). In dorsal (A1–G1), ventral (A2–G2), medial (A3–G3), and lateral (A4–C4, E4–G4) views. Black areas indicate anatomical foramina. Not to scale.
Fig. 4 in Systematic revision of a Miocene sperm whale from Patagonia, Argentina, and the phylogenetic signal of tympano-periotic bones in Physeteroidea
Fig. 4. Isolated periotics of a sperm whale Physeteroidea indet. from the Miocene of Patagonia. A. MPEF-PV-605, right periotic. B. MPEF-PV-651, right periotic. C. MPEF-PV-6098, left periotic. D. MLP 80-VIII-30-133a, right periotic. E MLP 80-VIII-30-133b, left periotic. F. MLP 52-X-2-8, right periotic. In dorsal (A1–F1), ventral (A2–F2), medial (A3–F3), and lateral (A4–F4) views. G. MLP 56-IX-2-7, fragmentary periotic in dorsal (G1) and medial (G2) views.
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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.