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21 results for “communication dynamics”

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zenodo44/100

Two-time correlation function based on speckle patterns from x-ray photon correlation spectroscopy associated with "Intermittent cluster dynamics and temporal fractional diffusion in a bulk metallic glass" (scientific article published in Nature Communications, 2024)

<p>This dataset consists of contrast data, i.e., the two-time correlation function, based on speckle patterns measured at the at the 8ID-E beamline of the Advanced Photon Source at Argonne National Laboratory.</p> <p>Experimental details are stated in the paper specified under "related work" and in the accompanying supplementary information.</p> <p>You are welcome to use this dataset in compliance with the CC BY 4.0 licence assigned to this dataset.</p> <p>Any questions regarding the data can be addressed to birte.riechers@bam.de who would also appreciate a note if you find the data useful.</p> <p>____________________________________________________________________</p> <p>The data consists of 32 text files in total, which correspond to the main and lower panel Figure 2 of the main publication.&nbsp;</p> <p>30 of these text files are contrast data, which are named "contrast_DT250s_nn.text" wiith "nn" as the identifier of consecutive data sets going from 1 to 30. Each data set consists of p rows and q columns, DT250s denotes the time resolution of data points, which is 250 s along both row and column values.</p> <p>The data set called "Time_Contrast_1to30s.txt" states the start time in seconds of the first data point of each of the thirty contrast data set.</p> <p>The data set called "ScatteredIntensity.txt" states the scattered intensity at full time resolution, i.e. 2.5 s.</p> <p>The files are plain text files with the data points separated by "space" along rows and "new line" along columns.</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Project files provided as supporting information to the manuscript "How Communication Pathways Bridge Local and Global Conformations in an IgG4 Antibody: a Molecular Dynamics Study"

<p>June 23, 2021</p> <p>Thomas Tarenzi, Marta Rigoli&nbsp;and Raffaello Potestio</p> <p>==================================</p> <p>The dataset contains the following folders:</p> <p>- contact_area_binding_site: files with the computed surface area, used for the calculation of the contact area between PD-1 and the antibody Fab (Fig. S41).</p> <p>- hbonds_ab-pd1: number of hydrogen bonds between the antigen and the antibody, for each holo cluster (Fig. S41).</p> <p>- mutual_information: matrices with the computed mutual information, for each pair of residues (Fig. S34, S35, S46). The folder contains also the generalized correlation coefficients (Fig. S43) and the correlation scores (Fig. 4, S44, S45), computed from the mutual informations.</p> <p>- networks: communities - for each cluster, each residue is assigned to a community within the interaction network (Fig. S32, S33). betweenness - the values of edge betweenness for each cluster (S30, S31).</p> <p>- output_clustering: each frame of the apo and holo simulations is assigned a cluster index, on the basis of the structural similarity (Fig. S4).</p> <p>- PAD: per-residue values of PAD parameter, for apo and holo systems (Fig. 3, S39).</p> <p>- PCA: principal component analysis for each conformational cluster (Section S2.1).</p> <p>- representative_structures: representative structures for each conformational cluster (Fig. 2).</p> <p>- r_gyr_antibody: radii of gyration of the antibody, for each cluster (Fig. 2).</p> <p>- r_gyr_hinge: radii of gyration of the sole hinge segment, for each cluster (Fig. S36).</p> <p>- RMSD_antibody: distributions of the root-mean-square deviation of the antibody, for each cluster (Fig. S5).&nbsp;</p> <p>- RMSD_antigen: root-mean-square deviation of the antigen PD-1, for each cluster (Fig. S42).</p> <p>- RMSD_binding_site: distributions of the root-mean-square deviation of the residues belonging to the paratope, for each cluster (Fig. S40, S47).</p> <p>- RMSD_matrix: root-mean-square deviation between structures belonging to different pairs of clusters (Fig. S9).</p> <p>- rmsf_antigen: root-mean-square fluctuation of the antigen PD-1, for each cluster (Fig. S42).</p> <p>- rmsf_hinge: difference between the total root-mean-square fluctuations of the two hinge segments, for each cluster (Fig. S38).</p> <p>- salt_bridge: distribution of distances between residues R979 and D1377 (Fig. 4).</p> <p>- sasa_domains: contact area between Fab and Fc antibody domains, for each cluster (Fig. S8).</p> <p>- sasa_hinge: solvent accessible surface area of each hinge segment, for each cluster (Fig. S37).</p>

opencc-by-4.0Jun 2021View details →
zenodo32/100

Self-stabilizing Byzantine-resilient communication in dynamic networks (video)

Full video presentation of the paper: Self-stabilizing Byzantine-resilient communication in dynamic networks.<br><br>Appears in Session 1 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>

opencc-by-4.0Dec 2020View details →
dryad32/100

Data from: Evolving from static to dynamic signals: evolutionary compensation between two communicative signals

Signals that convey related information may impose selection on each other, creating evolutionary links between different components of the communicative repertoire. Here, we ask about the consequences of the evolutionary loss of one signal (a colour patch) on another (a motion display) in Sceloporus lizards. We present data on male lizards of four species: two pairs of sister taxa representing two independent evolutionary losses of the static colour patch (S. cozumelae and S. parvus; S. siniferus and S. merriami). Males of the two species that have undergone an evolutionary loss of blue-belly patches (S. cozumelae, S. siniferus) were less active than their blue-bellied sister taxa (S. parvus, S. merriami), consistent with the suggestion that the belly patches were lost to reduce conspicuousness of species with high predation pressure. In contrast, the headbob display appears to have become more, rather than less, conspicuous over evolutionary time. The colour patch is exhibited primarily during aggressive encounters, whereas headbob displays are multifunction signals used in several different contexts, including aggressive encounters. Males of species that have lost the colour patch produced more motion displays, and the structure of those motion displays were more similar to those produced during combat. In both evolutionary episodes, a static colour signal appears to have been replaced by dynamic motion displays that can be turned off in the presence of predators and other unwanted receivers. The predominant pattern is one of evolutionary compensation and interactions between multiple signals that convey related information.

opencc-zeroDec 2014View details →
zenodo32/100

Brief Communication: Monitoring active layer dynamic using a lightweight nimble Ground-Penetrating Radar system. A laboratory analog test case

<p>GPR dataset from Leger et al., 2023 (https://tc.copernicus.org/preprints/tc-2022-214/)</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2023View details →
dryad32/100

Data from: Evolving from static to dynamic signals: evolutionary compensation between two communicative signals

Open the record for dataset details and reuse information.

publicFeb 2016View details →
dryad32/100

Data from: Dynamic changes in display architecture and function across environments revealed by a systems approach to animal communication

Open the record for dataset details and reuse information.

publicJan 2018View details →
zenodo28/100

Data for the publication "Mechanical communication within the microtubule through network-based analysis of tubulin dynamics"

<p>Repository containing all the necessary data to replicate the study "Mechanical communication within the microtubule through network-based analysis of tubulin dynamics", published in Biomechanics and Modeling in Mechanobiology (https://doi.org/10.1007/s10237-023-01792-5).</p>

opencc-by-4.0Nov 2023View details →
zenodo28/100

SOAPy: a Python package to dissect spatial architecture, dynamics and communication

<p>Datasets used in the SOAPy article and tutorial could be referred in <strong>data sources.xlsx</strong>. You could download the source data by accessing the download links provided in the file.&nbsp;</p>

opencc-by-4.0Jan 2024View details →
geo24/100

Dynamic changes in cellular atlases and communication patterns within yak ovaries across diverse reproductive states unveiled by single-cell analysis [scRNAseq_Yak_Ovary_Anestrus_2]

GEO Series GSE213989. Bos grunniens. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2023View details →
geo24/100

Single-cell RNA sequencing uncovers dynamic roadmap and cell-cell communication during buffalo spermatogenesis

GEO Series GSE190477. Bubalus bubalis. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2022View details →
geo24/100

Dynamic neutrophil-keratinocyte communication network centered on IL-36/TNFSF15 responses characterizes inflammatory responses in generalized pustular psoriasis.

GEO Series GSE309097. Homo sapiens. 17 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2025View details →
geo20/100

Developmentally dynamic chromatin state at loci regulating interorgan communication

GEO Series GSE295997. Mus musculus. 96 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenDec 2025View details →
geo20/100

RUNX1-ETO orchestrates dynamic enhancer promoter communication in t(8;21) Acute Myeloid Leukaemia (ChIP-Seq)

GEO Series GSE121280. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenNov 2019View details →
geo20/100

RUNX1-ETO orchestrates dynamic enhancer promoter communication in t(8;21) Acute Myeloid Leukaemia (DNaseI-Seq)

GEO Series GSE121281. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenNov 2019View details →
geo20/100

RUNX1-ETO orchestrates dynamic enhancer promoter communication in t(8;21) Acute Myeloid Leukaemia

GEO Series GSE121282. Homo sapiens. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenNov 2019View details →
geo16/100

Dynamic changes in cellular atlases and communication patterns within yak ovaries across diverse reproductive states unveiled by single-cell analysis [scRNAseq_Yak_Ovary_Estrus_2]

GEO Series GSE209794. Bos grunniens. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2022View details →
geo16/100

Dynamic changes in cellular atlases and communication patterns within yak ovaries across diverse reproductive states unveiled by single-cell analysis [scRNAseq_Yak_Ovary_Pregnancy_1]

GEO Series GSE254190. Bos grunniens. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2024View details →
geo16/100

Dynamic changes in cellular atlases and communication patterns within yak ovaries across diverse reproductive states unveiled by single-cell analysis [scRNAseq_Yak_Ovary_Pregnancy_2]

GEO Series GSE254287. Bos grunniens. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2024View details →
geo16/100

Dynamic changes in cellular atlases and communication patterns within yak ovaries across diverse reproductive states unveiled by single-cell analysis [scRNAseq_Yak_Ovary_Estrus_1]

GEO Series GSE254057. Bos grunniens. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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