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1,742 results for “activity data”
FIGURES 7–10 in A new synonym of the biting midge, Culicoides bottimeri Wirth, with a redescription, new distribution records and seasonal activity data (Diptera: Ceratopogonidae)
FIGURES 7–10. Culicoides bottimeri: 7, head of female. 8, head of male. 9, ventral view of male genitalia at level of aedeagus and parameres. 10, dorsal view of male genitalia at level of tergite 9 and bases of parameres.
FIGURES 1–6 in A new synonym of the biting midge, Culicoides bottimeri Wirth, with a redescription, new distribution records and seasonal activity data (Diptera: Ceratopogonidae)
FIGURES 1–6. Culicoides bottimeri: 1, genital sclerotization on sternite 8 of female. 2–4, variation in spermathecae of female. 2, specimen from Kerr Co., Texas. 3, specimen from Yavapai Co., Arizona. 4, specimen from Grand Co., Utah. 5–6, variation in apex of tergite 9 of male. 5, specimen from Kerr Co., Texas, without medial point. 6, specimen from Grand Co., Utah, with medial point.
Research Data for FiHi: Fusion of inertial and high-resolution acoustic data for privacy-preserving human activity recognition
<h1><strong>Description</strong></h1> <div>This dataset contains information on 20 different activities collected from 15 participants (20-55 years old) using Wit-motion smart inertial sensors and Double Acoustics guitar pickups. Each participant performs these daily activities in an unrestricted environment, with each activity lasting at least 60 seconds and repeated twice.</div> <div> </div> <div>If you use the dataset in an academic work, please cite: </div> <div> </div> <div><code>@ARTICLE{10980212,</code><br><code> author={Yang, Zhe and Zhang, Ying and Li, Yanjun and Huang, Linchong and Hu, Ping and Lin, Yuexiang},</code><br><code> journal={IEEE Transactions on Instrumentation and Measurement}, </code><br><code> title={Fusion of Inertial and High-resolution Acoustic Data for Privacy-Preserving Human Activity Recognition}, </code><br><code> year={2025},</code><br><code> volume={74},</code><br><code> number={},</code><br><code> pages={1-20},</code><br><code> keywords={Human activity recognition;Sensors;Acoustics;Feature extraction;Privacy;Microphones;Biomedical monitoring;Wireless fidelity;Sensor phenomena and characterization;Sensor fusion;Human activities recognition;inertial sensing;Hi-res audio;attention mechanism},</code><br><code> doi={10.1109/TIM.2025.3565250}}</code></div> <h1><strong>DataSet Information</strong></h1> <h2><strong>1.Original_data.zip</strong></h2> <div>The data was annotated by manually reviewing the audio clips and assigning appropriate activity labels. Timestamping the inertial sensor data with the start time of the audio device recorded by the experimenter ensured correct segmentation and synchronization of the inertial and acoustic data. The total data length for</div> <div>all participants is over 10 hours.</div> <h3><strong>(1) </strong><strong>IMU</strong><strong> DATA</strong></h3> <div>The inertial data (accelerometer and gyroscope) is sampled at 100 Hz and transmitted by Bluetooth to the host computer. These reviewed and annotated original samples from 15 participants are placed in separate csv files. The arrangement of information in each csv file is:</div> <div>Col 1-3: 3D-acceleration data (g)</div> <div>Col 4-6: 3D-gyroscope data (°/s)</div> <h3><strong>(2) Audio DATA</strong></h3> <div>The acoustic data are sampled at 192 kHz by a Steinberg sound card and transmitted by USB cable to the host computer. These original samples are placed in separate wav files, with each file name containing all the necessary information regarding the contents of the file.</div> <div><strong>For example:</strong></div> <div>100801_sitting</div> <div>Participant ID (1-4 digits): 1008, Session ID (5-6 digits): 01, Activity ID: sitting.</div> <div> </div> <h2><strong>2、Processed_data.zip</strong></h2> <div>The last two columns of each file are as follows:</div> <ul> <li> <div>participant_id: such as 100101, 100102, 100201 ...... The last two digits are the Session ID, representing the two sessions from the same participant for the same activity.</div> </li> <li> <div>activity_id: Refer to the ACTIVITY SET below</div> </li> </ul> <h3><strong>(1) </strong><strong>IMU</strong><strong> DATA</strong></h3> <div>The original inertial data is individually aligned with the processed Audio data based on their start times, with any excess data rows at the end being trimmed. Then, these inertial data files are augmented with activity_id and participant_id for identification, and consolidated into a single csv file.</div> <div>The continuous motion signal is segmented into sliding windows, each with a duration of 3 seconds and a step size of 3 seconds. Given the IMU’s sampling rate of 100 Hz, each window of inertial data consists of 300 time steps, with 6 channels of information (3 axes each for accelerometer and gyroscope). Consequently, a single inertial sample is represented by a 300 × 6 dimensional matrix.</div> <h3><strong>(2) Audio DATA</strong></h3> <div>The acoustic signals are processed using the Short Time Fourier Transform (STFT) with a window length of 1024 points and an overlap of 256 points, , which generates n linear spaced frequency bins between n kHz frequency range in the frequency domain. The output contains the estimate of the short-term, time-localized frequency patterns. We examine two levels of privacy protection: 8 ∼ 96 kHz for non-speech sound and 20 ∼ 96 kHz for inaudible sound, with 88 and 76 linear spaced frequency bins, respectively.</div> <div>Under a sample rate of 192 kHz for the original acoustic signal, there are (192000 - 256)/(1024 - 256) ≈ 250 frequency features within a second, while each feature has 88 and 76 dimensions for non-speech (8∼96 kHz) and inaudible (20∼96 kHz) feature, respectively.</div> <h1><strong>ACTIVITY </strong><strong>SET</strong></h1> <div>The activityIDs and corresponding activities are listed in the following:</div> <div>0: use microwave</div> <div>1: brush teeth</div> <div>2: browse video</div> <div>3: drink water</div> <div>4: fry</div> <div>5: lie down</div> <div>6: flush</div> <div>7: go downstairs</div> <div>8: go upstairs</div> <div>9: sit</div> <div>10: stand</div> <div>11: manipulate door</div> <div>12: type</div> <div>13: jump</div> <div>14: run</div> <div>15: walk</div> <div>16: wash hands</div> <div>17: write</div> <div>18: operate light</div> <div>19: eat</div>
Neutron activation analysis data of pottery from Ziyaret Tepe, Turkey
<p>Neutron activation analysis data of pottery from Ziyaret Tepe, Diyarbakır Province, Turkey.</p>
Ionosphere-thermosphere data published in 'The 2D evolution of thermospheric ∑O/N2 response to weak geomagnetic activity during solar-minimum observed by GOLD'
This dataset was used to generate plots for a paper in the Geophysical Research Letter, an AGU journal. It includes the percentage difference of column density ratio of O/N2 between quiet time (DOY 153 in 2019) and weak geomagnetic activity time (DOY 156 in 2019), together with the meridional wind, zonal wind, meridional component and the zonal component of E cross B drift at pressure level -1.375 (160-170 km).
Data for the figures in paper 'Variations in thermosphere composition and ionosphere total electron content under extremely weak geomagnetic activity conditions at solar-minimum'
This data set include the simulated percentage difference of O to N2 column density ratio between DOY 111 and 110 (Figure 3 of paper), and the absolute difference of neutral wind vector at pressure level -1.375 (Figure 3 of paper).They are from 0:10 UT to 23:55 UT on DOY 111 in 2019 with a temporal resolution of 15-min. And the absolute difference of diagnostic terms (horizontal advection, vertical advection and molecular diffusion) of O at pressure level -1.375 at 13:10 UT (Figure 4 of the paper)
Sequence-independent, site-specific incorporation of chemical modifications to generate light-activated plasmids (Source Data)
<p>Source data for Chemical Science paper "Sequence-independent, site-specific incorporation of chemical modifications to generate light-activated plasmids" DOI: 10.1039/D3SC02761A</p>
Data for "Solving the OH + glyoxal problem: A complete theoretical description of post transition state energy deposition in activated systems."
Open the record for dataset details and reuse information.
Supplementary data for "Transient wave activity in snow avalanches is controlled by entrainment and topography"
<p>We are releasing the data of Figs. 2,4&5 in our manuscript submitted to Communications Earth & Environment.</p>
Supporting data set for: Sulfur-deficient edges as active sites for hydrogen evolution on MoS2
<p>Computed structures of the elementary steps of hydrogen evolution on MoS2 edges and basal plane, obtained with neutral supercells.</p><p>Naming convention: POSCAR-[system]-[number of H after Volmer step]-[reaction]-[state].</p>
Data of "Grazing intensity and horn status influence activity on pasture, physiological pre-slaughter reactions and meat quality in beef heifers"
<p>Raw data of the article of "Grazing intensity and horn status influence activity on pasture, physiological pre-slaughter reactions and meat quality in beef heifers". Dataset of 64 crossbred beef heifers. Both experimental independent variables (animal id, horn status, grazing intensity, replicate) and dependent variables (related to physical activity on pasture, behaviour tests, stress physiology and meat quality) are presented.</p>
Dataset for Active shortening simultaneous to normal faulting based on GNSS, geophysical and geological data: The seismogenic Ventas de Zafarraya Fault (Betic Cordillera). Tectonics
<p>Dataset for "Active shortening simultaneous to normal faulting based on GNSS, geophysical and geological data: The seismogenic Ventas de Zafarraya Fault (Betic Cordillera)" Tectonics<br><br>File "hypoDD_10_300.reloc.txt" compile all the relocated seismicity in the study area.<br>Files "810_.NEU, 811_.NEU, 812_.NEU, 813_.NEU, 814_.NEU, 815_.NEU, and 816_.NEU" presents the time series data of GNSS sites of the Zafarraya network.</p>
Data from: Molecular docking and dynamics studies to identify novel active compounds targeting potential breast cancer receptor proteins from an indigenous herb Euphorbia thymifolia Linn
<p>Breast cancer has become most prevalent disease and their incidence has doubled in Indian scenario. Targeted therapy with the novel compounds derived from plants could be the promising approach for the development of drugs. <em>Euphorbia thymifolia</em> L is a widely growing tropical herb which has been reported for its various ethnopharmacological properties, including anticancer properties. The aim of the present study was to identify the active phytocompounds present in the methanolic extract using an <em>I</em><em>n-silico</em> approach. The methanolic extract of <em>E. thymifolia</em> (ME.ET) was subjected to GC-MS analysis and the identified compounds were docked with potential protein targets implicated in breast cancer such as ERK1, AKT, EGFR/HER2, ER, MELK, PLK1, PTK6. Compounds with good docking score were further subjected to dynamics study to understand the protein ligand binding stability, ligand pathway calculation, molecular mechanics energies combined with Poisson-Boltzmann (MM/PBSA) calculation using Schrodinger suite. Out of 219 unique phytocompounds subjected to docking, two compounds namely, 3,6,9,12-tetraoxatetradecane-1,14-diyl dibenzoate (TTDB) and succinic acid, 2-(dimethylamino)ethyl 4-isopropylphenyl ester (SADPE) showed good docking score. Molecular dynamics study showed high affinity and low binding energy for TTDB with HER2, ERK1 and SADPE with ER. Hence this is the first study to identify and report active compounds from <em>E.thymifolia</em> linn. Further <em>invitro</em> and <em>invivo</em> anticancer studies can be performed to confirm these results and understand the molecular mechanism by which TTDB and SADPE exhibit anticancer activity against breast cancer.</p>
Supplementary Figure 6 stimulus induced brain activity data
<p>This data set shows brain activity in response to an airpuff stimulus applied to the right whiskers. A 2 s, 3 Hz airpuff stimulus is applied to the right whiskers 20 times. This data was collected using a CMOS camera that costs approximately $750. Wide field images of the mouse brain at four different wavelengths are provided as .tif files. Processed data are included in a .h5 file that contains relative changes in neuronal calcium activity, extracellular acetylcholine, oxyhemoglobin, and deoxyhemoglobin. A trigger file recorded by the data acquisition system shows the timing of measurements and stimuli. This data was used to produce the stimulus response parts of supplementary figure 6 in the following article.</p> <p>Doran, P., Fomin-Thunemann, N., Tang, R., Zimmerman, B., Kilic, K., Kura, S., Fisher, H., Chabbot, G., Herbert, J., Jiang, J., Sakadzic, S., Boas, D., Devor, A., Chen, I., & Thunemann, M. (2023). Widefield in vivo imaging system with two fluorescence and two reflectance channels, a single sCMOS detector, and shielded illumination. bioRxiv. <a href="https://doi.org/https:/doi.org/10.1101/2023.11.07.566086do">https://doi.org/https://doi.org/10.1101/2023.11.07.566086do</a></p>
Supplementary Figure 6 spontaneous brain activity data
<p>This data set contains a single ten-minute run of spontaneous brain activity. This data was collected using a CMOS camera that costs approximately $750. Wide field images of the mouse brain at four different wavelengths are provided as .tif files. Processed data are included in a .h5 file that contains relative changes in neuronal calcium activity, extracellular acetylcholine, oxyhemoglobin, and deoxyhemoglobin. A video of the mouse face and a recording from an accelerometer placed under the mouse are also included. A trigger file recorded by the data acquisition system shows the timing of measurements. This data was used to produce the spontaneous activity part of supplementary figure 6 in the following article.</p> <p>Doran, P., Fomin-Thunemann, N., Tang, R., Zimmerman, B., Kilic, K., Kura, S., Fisher, H., Chabbot, G., Herbert, J., Jiang, J., Sakadzic, S., Boas, D., Devor, A., Chen, I., & Thunemann, M. (2023). Widefield in vivo imaging system with two fluorescence and two reflectance channels, a single sCMOS detector, and shielded illumination. bioRxiv. <a href="https://doi.org/https:/doi.org/10.1101/2023.11.07.566086do">https://doi.org/https://doi.org/10.1101/2023.11.07.566086do</a></p>
Figure 2 stimulus induced brain activity data
<p>This data set shows brain activity in response to an airpuff stimulus applied to the right whiskers. A 2 s, 3 Hz airpuff stimulus is applied to the right whiskers 20 times. Raw .dat files produced by the camera contain wide field images of the mouse brain collected at four different wavelengths. Processed data are included in a .h5 file that contains relative changes in neuronal calcium activity, extracellular acetylcholine, oxyhemoglobin, and deoxyhemoglobin. A video of the mouse face and a recording from an accelerometer placed under the mouse are also included. A trigger file recorded by the data acquisition system shows the timing of measurements and stimuli. This data was used to produce the stimulus response parts of figure 2 in the following article.</p> <p>Doran, P., Fomin-Thunemann, N., Tang, R., Zimmerman, B., Kilic, K., Kura, S., Fisher, H., Chabbot, G., Herbert, J., Jiang, J., Sakadzic, S., Boas, D., Devor, A., Chen, I., & Thunemann, M. (2023). Widefield in vivo imaging system with two fluorescence and two reflectance channels, a single sCMOS detector, and shielded illumination. bioRxiv. <a href="https://doi.org/https:/doi.org/10.1101/2023.11.07.566086do">https://doi.org/https://doi.org/10.1101/2023.11.07.566086do</a></p>
Blockage, vandalism, and harassment activities for the cause of climate change mitigation: data deposit
<p>The paper describes a dataset of metadata of 89 blockage, vandalism, and harassment events happening in recent years. The dataset comprises three main categories: 1) Events, 2) Activists, and 3) Consequences. For researchers interested in environmental activism, climate change, and sustainability, the dataset is helpful in studying the effectiveness and appropriateness of strategies to raise public awareness and support. For researchers in the field of security studies and green criminology, the dataset offers resources to study features and impacts of blockage, vandalism, and harassment events. The Bayesian Mindsponge Framework (BMF) analytics was employed to validate the dataset. Consequently, the estimated result aligns with the Mindsponge Theory’s theoretical reasoning.</p>
Raw data for: Active feedback stabilization of super-efficient microcombs in photonic molecules
<p>This dataset includes the raw data and Python scripts to plot the figures included in the paper "<span>Active feedback stabilization of super-efficient </span><span>microcombs in photonic molecules</span>".</p>
Source Data for Infralimbic activity during REM sleep facilitates fear extinction memory
<p>Source data for the manuscript Infralimbic activity during REM sleep facilitates fear extinction memory</p>
Code and exemplificative data for publication titled: Synaptic inputs to motor neurons underlying muscle co-activation for functionally different tasks have different spectral characteristics.
<p>Code implemented in the publication</p> <p>Titled: Synaptic inputs to motor neurons underlying muscle co-activation for functionally different tasks have different spectral characteristics</p> <p>Authors: Borzelli,D; Vieira,TMM; Botter,A; Gazzoni,M; Lacquaniti,F; d’Avella,A</p> <p>Published in: Journal of Neurophysiology</p> <p>Year: 2024</p> <p>When running the function 'coherenceAnalysis_Borzelli_et_al_JNeurophysiol_2024.m', the code load the firings of the motor units identified during two exemplificative trials performed by a participant, saved in 'data_Borzelli_et_al_JNeurophysiol_2024'. One trial was directed toward an horizontal target of the perturbed block and the other was directed toward a supination target of the baseline block.</p> <p>Then the code calculates the coherence between the MUs identified on the BB and on the TB (cross-muscle coherence) and the cross-muscle coherence after excluding the components synchronized with the norm of the endpoint force.</p> <p>Finally, the code plots the results.</p> <p>This code could easily be modified to compute all the relevant analyses presented in the paper, such as the total within muscle coherence and the within muscle coherences after excluding the components synchronized with the norm of the force or the sum of the firings of the antagonist muscle.</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.