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Dataset results
389 results for “Lifetime”
Empirically estimated electron lifetimes in the Earth's radiation belts: 1. Observations
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Empirically estimated electron lifetimes in the Earth's radiation belts: 2. Comparison with theory
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Improved Simulations of Biomass Burning Aerosol Optical Properties and Lifetimes during the ORACLES-I Campaign: Results from the NASA GEOS Model
This dataset contains model results and satellite-based research retrievals associated with the manuscript submitted in Atmospheric Chemistry and Physics Journal, titled, " Improved Simulations of Biomass Burning Aerosol Optical Properties and Lifetimes in the NASA GEOS Model during the ORACLES-I Campaign". There were multiple NASA GEOS global model simulations performed for this study. Following are the name of the simulation and their description corresponding to the file names within this dataset: 1. Baseline: Default version of the GEOS model 2. Smoke Age: Default version of the GEOS model run with biomass burning OA tagged by day of the week it was emitted. 3. Smoke Composition: Default version of the GEOS model run with biomass burning OA tagged by type of vegetation burned. 4. OA-loss: Hydrophilic OA from biomass burning is assigned a 6-day e-folding loss time; OA from biomass burning sources is enhanced 60%, BC from biomass burning sources is enhanced 15%. 5. OA-loss+updated optics: As in OA-loss but with updated aerosol optical properties.
Single-cell profiling of cranial neural crest diversification across a vertebrate lifetime
GEO Series GSE178969. Danio rerio. 26 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
A skeletal-muscle senescence blueprint defines an aged-like inflamed niche that inhibits regeneration over lifetime [RNA-seq]
GEO Series GSE196611. Mus musculus. 102 samples. Type: Expression profiling by high throughput sequencing.
Lifetime ovulatory years and ovarian cancer gene expression profiles
GEO Series GSE232352. Homo sapiens. 234 samples. Type: Expression profiling by high throughput sequencing.
Epigenome-wide DNA Methylation Profiling in the Investigation of Treatment and Life-Course Exposures and Adverse Health Outcomes in Survivors of Childhood Cancer from the St. Jude Lifetime Cohort
GEO Series GSE314261. Homo sapiens. 5013 samples. Type: Methylation profiling by genome tiling array.
Transgenerational impact of grand-paternal lifetime exposures to both folic acid deficiency and supplementation on genome-wide DNA methylation in male germ cells
GEO Series GSE208329. Mus musculus. 77 samples. Type: Methylation profiling by high throughput sequencing.
Supplemental Material to Article "Stress-based assessment of the lifetime extension for wind turbines"
<p>This set supplements the figure data to the article "Stress-based assessment of the lifetime extension for wind turbines", DOI: .</p>
DeepPull: Deep Learning-Based Approach for Predicting Reopening, Decision, and Lifetime of Pull Requests on GitHub Open-Source Projects
<p>This dataset is from the paper titled "DeepPull: A Deep Learning-Based Approach for Predicting Reopening, Decision, and Lifetime of Pull Requests in GitHub Open-Source Projects," authored by P. Banyongrakkul and S. Phoomvuthisarn.</p><p>The dataset includes 288,121 pull requests from 83 open-source GitHub projects, spanning 6 different programming languages: Python, R, Java, Ruby, PHP, and C++. These pull requests were submitted between the periods of August 2010 and September 2023. The dataset consists of 30 tabular features, 2 textual features, 3 target features, and 5 metadata properties.</p>
Lifestyle and subsequent meningioma in childhood cancer survivors: A report from the St. Jude Lifetime Cohort study
<p>nomrn_1rowid : is file for getting the descriptive for the study. </p> <p>rows_perdid : After the data above was ran through ageyear macro for piecewise exponential model. </p>
Continuous map of early hematopoietic stem cell differentiation across human lifetime
<p>This repository contains scCITEseq data generated from healthy stem and progenitor cells using the BD Rhapsody Single-Cell Analysis System.</p> <p><strong>File description:</strong></p> <p>1. RSEC-adjusted UMI count files generated using the BD Rhapsody Targeted Analysis Pipeline (v. 1.10 v. 1.10.1):</p> <ul> <li>Experiment_1_RSEC_MolsPerCell</li> <li>Experiment_2_RSEC_MolsPerCell</li> <li>Experiment_3_RSEC_MolsPerCell</li> <li>Experiment_4_RSEC_MolsPerCell</li> <li>Experiment_5_RSEC_MolsPerCell</li> <li>Experiment_6_RSEC_MolsPerCell</li> <li>Experiment_7_RSEC_MolsPerCell</li> <li>Experiment_8_RSEC_MolsPerCell</li> <li>Experiment_9_RSEC_MolsPerCell</li> <li>Experiment_10_RSEC_MolsPerCell<br><br></li> </ul> <p>2. Sample tag calls for each putative cell, output by the BD Rhapsody Targeted Analysis Pipeline (v. 1.10 v. 1.10.1):</p> <ul> <li>Experiment_1_Sample_Tag_Calls</li> <li>Experiment_2_Sample_Tag_Calls</li> <li>Experiment_3_Sample_Tag_Calls</li> <li>Experiment_4_Sample_Tag_Calls</li> <li>Experiment_5_Sample_Tag_Calls</li> <li>Experiment_6_Sample_Tag_Calls</li> <li>Experiment_7_Sample_Tag_Calls</li> <li>Experiment_8_Sample_Tag_Calls</li> <li>Experiment_9_Sample_Tag_Calls</li> <li>Experiment_10_Sample_Tag_Calls<br><br></li> </ul> <p>3. An excel file with all samples processed (cell type isolated, age group)</p> <ul> <li>Sample list</li> </ul> <p> </p>
Figure 1 from: Weirauch C, Hoey-Chamberlain R, Knyshov A (2018) Synopsis of Schizopteridae (Hemiptera, Heteroptera, Dipsocoromorpha) from the United States, with description of seven new species from the US and Mexico. In: Wheeler Jr AG (Ed.) A Festschrift Recognizing Thomas J. Henry for a Lifetime of Contributions to Heteropteran Systematics. ZooKeys 796: 49-82. https://doi.org/10.3897/zookeys.796.24176
Figure 1 Habitus images of Glyptocombus spp. in dorsal, ventral, frontal and lateral views.
Figure 3 from: Guidoti M, Guilbert E (2018) A new species of Zetekella Drake from Ecuador with comments on Zetekella and Minitingis Barber (Heteroptera, Tingidae). In: Wheeler Jr AG (Ed.) A Festschrift Recognizing Thomas J. Henry for a Lifetime of Contributions to Heteropteran Systematics. ZooKeys 796: 291-299. https://doi.org/10.3897/zookeys.796.23869
Figure 3 Variation observed in paranota of paratypes of Minitingisminusculus. Scale bar: 0.25 mm.
Figure 5 from: Baňař P, Heiss E (2018) A new Cervinotaptera species from northern Madagascar (Hemiptera, Heteroptera, Aradidae). In: Wheeler Jr AG (Ed.) A Festschrift Recognizing Thomas J. Henry for a Lifetime of Contributions to Heteropteran Systematics. ZooKeys 796: 307-318. https://doi.org/10.3897/zookeys.796.24540
Figure 5 Map of distributions of Cervinotaptera species.
Figure 1 from: Carapezza A, Kment P (2018) Psallus thomashenryi sp. n. and Psallus lucanicus from Turkey (Hemiptera, Heteroptera, Miridae). In: Wheeler Jr AG (Ed.) A Festschrift Recognizing Thomas J. Henry for a Lifetime of Contributions to Heteropteran Systematics. ZooKeys 796: 253-265. https://doi.org/10.3897/zookeys.796.21536
Figure 1 Habitus of Psallusthomashenryi sp. n., holotype, male (2.29 mm).
Figure 3 from: Schuh RT, Salas R (2018) Henryognathus thomasi, a new genus and new species of Arctostaphylos-feeding plant bug from western North America (Miridae, Phylinae, Phylini). In: Wheeler Jr AG (Ed.) A Festschrift Recognizing Thomas J. Henry for a Lifetime of Contributions to Heteropteran Systematics. ZooKeys 796: 281-289. https://doi.org/10.3897/zookeys.796.21432
Figure 3 Distribution of Henryognathusthomasi in the American southwest.
Figure 1 from: Salas R, Schuh RT (2018) Macrotylus henryi, a new species of Pelargonium-feeding Cremnorrhinina from South Africa (Hemiptera, Miridae, Phylinae, Cremnorrhinini). In: Wheeler Jr AG (Ed.) A Festschrift Recognizing Thomas J. Henry for a Lifetime of Contributions to Heteropteran Systematics. ZooKeys 796: 267-280. https://doi.org/10.3897/zookeys.796.21429
Figure 1 Digital habitus photographs of Macrotylushenryi, showing color variation.
Figure 1 from: Schwartz MD (2018) Ilnacora henryi, a new species of plant bug from Mexico (Heteroptera, Miridae, Orthotylinae, Orthotylini). In: Wheeler Jr AG (Ed.) A Festschrift Recognizing Thomas J. Henry for a Lifetime of Contributions to Heteropteran Systematics. ZooKeys 796: 241-252. https://doi.org/10.3897/zookeys.796.21285
Figure 1 Dorsal habitus of Ilnacorahenryi. A male, AMNH_PBI 00093267 B female, AMNH_PBI 00093269.
Figure 1 from: Herczek A, Gorczyca J, Taszakowski A (2018) Sulawesimetopus henryi, a new genus and species of Isometopinae (Hemiptera, Heteroptera, Miridae) from Sulawesi. In: Wheeler Jr AG (Ed.) A Festschrift Recognizing Thomas J. Henry for a Lifetime of Contributions to Heteropteran Systematics. ZooKeys 796: 147-161. https://doi.org/10.3897/zookeys.796.21273
Figure 1 S.henryi, female (A) and male (B, C) dorsal and lateral view.
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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.