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50 results for “life events”
Data from: Genetic and life-history consequences of extreme climate events
Open the record for dataset details and reuse information.
A Virtual Peer Agent for Counseling Adolescents With Stressful Life Events
ClinicalTrials.gov study NCT07305064. IPD Sharing: YES. Countries: 0. Publications: 0.
The Care After Life-threatening Medical Events Study
ClinicalTrials.gov study NCT04589559. IPD Sharing: NO. Countries: 1. Publications: 0.
Transitional Life Events in Patients With Friedreich's Ataxia: Implications for Genetic Counseling
ClinicalTrials.gov study NCT00056186. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Clinical Study Assessing Outcomes, Adverse Events, Treatment Patterns, and Quality of Life in Patients Diagnosed With Mycosis Fungoides Cutaneous T-cell Lymphoma
ClinicalTrials.gov study NCT02296164. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: The circular nature of recurrent life-cycle events: a test comparing tropical and temperate phenology
Open the record for dataset details and reuse information.
Data for 'Partial Tidal Disruption Events: The Elixir of Life'
<p>This folder includes all the data for the paper titled: Partial Tidal Disruption Events: The Elixir of Life</p> <p>Simulations were run with publicly available phantom code (https://github.com/danieljprice/phantom; https://phantomsph.readthedocs.io/en/latest/) and Kepler code (https://2sn.org/kepler/doc/Setup.html)</p> <p>We used splash (https://github.com/danieljprice/splash.git) for making Figures 2, 7, 8, 9, 10, 12, 14, B2, F1.</p> <p>We have three folders called s1_kepler, s3_kepler and s10_kepler. They contain the KEPLER models .wnd and .cnv files along with the dumps for ZAMS, MAMS and TAMS</p> <p>We have saved the PHANTOM relaxed models in star_(mass_of_star)_(evolution_stage) along with mapping back evolution in KEPLER files (link.dat, .wnd, .cnv). We have also saved Makefile, star.in, star.setup, tde.comp files, linkg.</p> <p>We have saved the PHANTOM simulation data in folders named star(mass_of_star)_(evolution_stage)_(beta_val). These include the .in, .tdeparams, ptok file, tde dump file used for analysis, KEPLER mapping back files (link.dat, .wnd, .cnv), .ev files. </p> <p>We have saved the KEPLER models that had the same mass as the remnants in star(mass_of_star)_(evolution_stage)_(beta_val)_kepler folders. We provide the generator file, .wnd, .cnv files. </p> <p>We have saved the KEPLER models that were generated by replacing the composition in the ptok files with the original star composition in the star_(mass_of_star)_(evolution_stage)_(beta_val)_strip</p> <p>We have saved the KEPLER models that were run until the He4 in the central bin was same as remnant He4 in centre, in the star(mass_of_star)_(evolution_stage)_(beta_val)_he4_same</p> <p>We have saved the PHANTOM simulation data for zero energy orbits run in star(mass_of_star)_(evolution_stage)_(beta_val)_zero folders. </p> <p>We have saved the geodesic files in the geodesic folder. It includes the .py files used to run jobs in parallel, and interpolation files. We have also saved the rp values used in the simulations run. </p> <p>We have saved the scripts used to run the KEPLER models (mapping back and stripping) in the python_code folder. We have also saved an EXCEL file which includes all the PHANTOM simulations data, along with the correct beta values shown in the paper. </p> <p><br>-----------------------------------------------------------------------------------------------------</p> <p>For the figures from the publication, </p> <p>Figure 1 uses the data from s1_kepler, s3_kepler and s10_kepler folders. </p> <p>Figure 2 uses data files present in the star(mass_of_star)_(evolution_stage)_(beta_val) folders. The folders for 3 solar MID have sub-folders starting with fig2 which contain the PHANTOM dump files. </p> <p>Figure 3 uses the data from solar3_mid_beta(value) folders. We have included the .ev files which were used to make this plot. </p> <p>Figure 4 uses the mass of the remnant as function of time. We have included the dump_info files that can be used to make this plot. </p> <p>Figure 5 and 6 use the mass of the remnant. You can access this information from Table 1 and 2 of the paper. </p> <p>Figure 7 uses the remnant files from the star1, star3 and star10 MID models. </p> <p><br>Figure 8 uses the ptok files and tde dump files. These are all included in the folders. </p> <p>Figure 9 uses dump files which are included in a sub-folder in the star3_mid_beta18 folder. </p> <p>Figure 10 requires the dump files along with files including the binned rotation profile and the break-up velocities. All of this is present in the folders where .exact1 and .exact2 are the binned and break-up profiles.</p> <p>Figure 11 can be generated by using the ptok files as they include binned rotation profile and radius.</p> <p>Figure 12 uses data files from the star3_mid_beta18 folder. We have included the remnant files. The same folder includes vphi files for Figure 13. </p> <p>Figure 14 requires the dump files along with tde.comp files. All tde.comp files are present in star_(mass_of_star)_(evolution_stage) folders. Dumps are in star_(mass_of_star)_(evolution_stage)_beta(value)folders. </p> <p>Figure 15 uses the files provided in the folders ending with _he4_same. </p> <p>Figure 16 and 17 can be generated by using the .wnd files provided in the star_(mass_of_star)_(evolution_stage) and star_(mass_of_star)_(evolution_stage)_beta(value) folders. The same files can be used for Figure 18 and Figure 19. </p> <p>Figure 20 can be generated by using the files present in folders ending with _kepler. </p> <p>Figure 21 uses files from folders ending with _strip. </p> <p>Figure 22 uses ptok files which have been provided for all star10_tams_beta(value) folders</p> <p>Figures A1, A2 can be generated using the ptok files and the original model files. </p> <p>Figure B2 uses files from sub-folder called cut_plot in the star3_mid_beta15 folder.</p> <p>Figure E1 uses .wnd files present in star(mass_of_star)_(evolution_stage) folders. </p> <p>Figure E2 uses .wnd files from the star3_tams_beta25 (sub-folder, time_run).</p> <p>Figure F1 uses files from zero and hyperbolic folders. </p> <p><br>-----------------------------------------------------------------------------------------------------</p> <p>To load the .wnd and .cnv, use windata and conv modules from python/source code written by Alexander Heger (KEPLER).<br>To load files starting with tde_0* use splash or sarracen (https://sarracen.readthedocs.io/en/latest/quick-start.html). <br>To load files starting with ptok (ASCII files), you can use splash or python. <br>To load .ev (ASCII files), you can use splash or python. <br>To load rem_* files or exact* files (ASCII) splash or python can be used. <br>To load link.dat file (ASCII) one can use splash or python. <br>To load KEPLER files containing @ one can use python. These are ASCII files. To convert any KEPLER files containing #, one would need to use Le-data filename to get it into ASCII form. </p> <p>-----------------------------------------------------------------------------------------------------<br>orbit.tdeparams files contain the initial position and velocities required for zero energy orbit. <br>tde.tdeparams files contain the beta, pericentre and starting distance along with mass of SMBH (in code units). </p> <p>star_00000.tmp files are the relaxed stellar profiles that were disrupted by the SMBH. <br>dump_info file is an ASCII file with information about the dumps such as the mass of the remnant, escape velocity, and maximum radius. <br> </p> <p> </p>
TAU Moving Sound Events 2019 - Ambisonic, Reverberant, Real-life IR and Moving Source Dataset
<p><strong>Tampere University (TAU) Moving Sound Events 2019 - Ambisonic, Reverberant and Real-life Impulse Response and Moving Source Dataset</strong></p> <p>This dataset consists of real-life first order Ambisonic (FOA) format recordings with moving point sources each in 2D spherical space represented with azimuth and elevation angles. The dataset was generated by collecting impulse responses (IR) from a real environment using the Eigenmike spherical microphone array. The measurement was done by slowly moving a Genelec G Two loudspeaker continuously playing<br> a maximum length sequence around the array in circular trajectory in one elevation at a time. The playback volume was set to be 30 dB greater than the ambient sound level. The recording was done in a corridor inside the university with classrooms around it during work hours. The IRs were collected at elevations −40 to 40 with 10-degree increments at 1 m from the Eigenmike and at elevations −20 to 20 with 10-degree increments at 2 m. </p> <p>The dataset consists of three sub-datasets with a) maximum one temporally overlapping sound events, b) maximum two temporally overlapping sound events, and c) maximum three temporally overlapping sound events. Each of the sub-datasets has three cross-validation splits, that consists of 240 recordings of about 30 seconds long for training split and 60 recordings of the same length for the testing split. All sound events in this dataset are moving only along azimuth with a constant angular velocity in the range [-90, 90]/s with 10-degree/s steps. For each recording, the metadata file with the same name consists of the sound event name, the temporal onset and offset time (in seconds), starting spatial location in azimuth and elevation angles (in degrees), the angular velocity of motion and distance from the microphone (in meters).</p> <p>The isolated sound events were taken from the urbansound8k dataset. This dataset consists of 10 sound event classes such as air_conditioner, car_horn, children_playing, dog_bark, drilling, enginge_idling, gun_shot, jackhammer, siren, and street_music. We do not consider air_conditioner and children_playing sound events. Further, we only include the sound event examples marked as foreground in the dataset. We used the splits 1, 8 and 9 provided in the urbansound8k as the three CV splits. These splits were chosen as they had a good number of examples for all the chosen sound event classes after selecting only the foreground examples. During the sound scene synthesis, every sound event is assigned a spatial trajectory on an arc with a constant distance from the microphone and moving with a constant angular velocity for its duration.</p> <p>Other than the license file, there are nine zip files that consist of the dataset and corresponding metadata for given split and overlap. For example, the ov3_split1.zip file consists of training and testing recordings and metadata for the case of a maximum of three temporally overlapping sound events (ov3) for the first cross-validation split (split1). Within each folder, the filenames for training split have the 'train' prefix, while the testing split filenames have the 'test' prefix.</p> <p>This dataset was collected as part of the '<a href="https://github.com/sharathadavanne/seld-net">Localization, Detection and Tracking of Multiple Moving Sound Sources with Convolutional Recurrent Neural Networks'</a> work.</p> <p>Data collector (s): Fagerlund, Eemi; Koskimies, Aino; Hakala, Aapo</p>
Study of Exposure to Stress, Postpartum Mood, Adverse Life Events, and Hormonal Function Among Latinas (SEPAH Latina)
ClinicalTrials.gov study NCT01912833. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Internet-based Self-help for Negative Life Events
ClinicalTrials.gov study NCT03379155. IPD Sharing: NO. Countries: 1. Publications: 0.
Apparent Life Threatening Events, Sudden Infant Death Syndrome and Muscarinic Receptors
ClinicalTrials.gov study NCT03278977. IPD Sharing: NO. Countries: 1. Publications: 0.
The Impact of Adverse Events, Produced by Antibodies Conjugates, on Quality of Life in Patients With Metastatic Breast Cancer: Multicentric, Observational Study (EVA).
ClinicalTrials.gov study NCT06106711. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Traumatic Events in Childhood, Attachment, Pain Perception, Epigenetic Marks, Quality of Life and Resilience.
ClinicalTrials.gov study NCT06077097. IPD Sharing: NO. Countries: 1. Publications: 0.
Real-life Data of Cardiovascular Events Occuring During Degarelix Therapy for Prostate Cancer
ClinicalTrials.gov study NCT02229253. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Animal-assisted Resilience Training for Children With Stressful Life Events or Autism Spectrum Disorder
ClinicalTrials.gov study NCT06025539. IPD Sharing: NO. Countries: 1. Publications: 0.
Apparent Life Threatening Events in Infants
ClinicalTrials.gov study NCT02779062. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Impact of Life Events and Psychological Stress in Rheumatoid Arthritis Set-up : Case-control Study Within a Multifactorial and Integrative Psychological Model
ClinicalTrials.gov study NCT03550833. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Neurologic and Psychiatric Adverse Events of Several Antiretroviral Drugs in Real Life Setting
ClinicalTrials.gov study NCT02882230. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Trial on the Effect of Emotional Disclosure of Traumatic Life Events on Physical Health
ClinicalTrials.gov study NCT00896844. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of Validity and Reliability of the Turkish Version of the Quality of Life and Related Events Assessment Scale for Pacemaker Patients
ClinicalTrials.gov study NCT06775223. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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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.