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204 results for “Ionizing radiation”
Evaluation of background ionizing radiation dose variation in Ploiesti city area, 2022
<p>Measurements of background ionizing radiation dose rate, done in Ploiesti city area in 2022 (Romania), by the student Tripac Flavius Gabriel under supervision of Prof. Dr. Adrian Iftime as part of a diploma thesis project (C.Davila University of Medicine and Pharmacy). </p> <p>A graphical overview of the values is included (ploiesti_values_2022.png). <br> </p>
Evaluation of background ionizing radiation dose variation in Bucharest city area, 2022
<p>Measurements of background ionizing radiation dose rate, done in Bucharest city area in 2022, by the student Damalan Daria Liana under supervision of prof. Adrian Iftime as part of a diploma thesis project.</p> <p>A graphical overview of the values is included (bucharest_values_2022.png).</p>
Metadata for RadPhysBio: A Radiobiological Database for the Prediction of Cell Survival upon Exposure to Ionizing Radiation
<p>This is the Metadata of our recent publication https://doi.org/10.3390/ijms25094729 </p> <p>Based on the need for radiobiological databases, in this work, we mined experimental ionizing radiation data of human cells treated with X-rays, γ-rays, carbon ions, protons and α-particles, by manually searching the relevant literature in PubMed from 1980 until 2024. In order to calculate normal and tumor cell survival α and β coefficients of the linear quadratic (LQ) established model, as well as the initial values of the double-strand breaks (DSBs) in DNA, we used WebPlotDigitizer and Python programming language. We also produced complex DNA damage results through the fast Monte Carlo code MCDS in order to complete any missing data. In the attached files you will find</p> <ol> <li>Current database for photons</li> <li>Current database for particle radiation</li> <li>Helping supplementary information</li> <li>Tips for help with our Database</li> </ol>
Data from: Non-invasive estimation of absorbed ionizing radiation dose in mice using Near-Infrared Spectroscopy (NIRS) and aquaphotomics
<p>Accurate measurement of ionizing radiation exposure, whether therapeutic or accidental, is of utmost importance in various scenarios. This paper presents a study that addresses this critical need by utilizing near-infrared (NIR) spectroscopy and aquaphotomics to estimate radiation dose exposure in mouse models subjected to X-ray irradiation. The analysis of NIR spectra acquired from the mouse abdomen enabled non-invasive estimation of radiation doses ranging from 0.5 to 6.5 Gy, immediately following the irradiation exposure. The findings were consistent with the impact of total body irradiation in mice, as evidenced by measures such as animal survival rate, alterations in body weight observed over a 30-day post-exposure period, and changes in hematocrit levels. The spectroscopic measurements were based on detecting changes in the molecular structure of body water after radiation exposure, utilizing the water spectral pattern as a multidimensional biomarker. While further validation in nonhuman primates is necessary, the findings demonstrate a simple, non-destructive, and rapid method that holds promise for the estimation of radiation exposure across a range of doses, applicable to both clinical applications and catastrophic radiation events. These advancements in radiation dose quantification have significant implications for the timely and precise assessment of radiation exposure in humans.</p>
Figure 1 in Induction of abnormal sperm heads in small mammals under chronic ionizing radiation
Figure 1. Radiation pollution effects after the Chernobyl NPS disaster on the abnormal sperm heads frequency in tundra voles (Microtus oeconomus Pall., n = 56) (A), bank voles (Myodes glareolus Schreb., n = 51) (B), and field mice (Apodemus agrarius Pall., n = 117) (C).
Data from: Non-invasive estimation of absorbed ionizing radiation dose in mice using Near-Infrared Spectroscopy (NIRS) and aquaphotomics
Open the record for dataset details and reuse information.
A biomimetic approach to shielding from ionizing radiation: the case of melanized fungi
<p>Experimental data and Jupyter notebooks supporting the article "A biomimetic approach to shielding from ionizing radiation: the case of melanized fungi".</p> <p>The repository folder:</p> <ul> <li><strong>experiments</strong> contains the recordings from the shielding experiments. The directory name is the date the data was recorded. The files are ASCII text at the native output of WinSPEC for Inspectors format (see <a href="https://www.gbs-elektronik.de/en/downloads/downloads-nuclear-measurements.php?lang=EN">supplier website</a> for more information).</li> <li><strong>geant_apps</strong> contains the Geant4 applications and output files from the simulations. Any application can be compiled and installed using cmake, similar to the Geant4 examples.</li> <li><strong>python</strong> contains the <a href="https://jupyter.org/">Jupyter notebooks</a> to produce the figures and the tables on the aforementioned article.</li> </ul> <p>To compile the Geant4 applications, an installation of <a href="https://geant4.web.cern.ch/">Geant4</a> is needed. The results in the repository were obtain using Geant4 10.5.</p>
Dataset for the publication "Photoelectron energy peaks shift against the radiation pressure in strong field ionization"
<p>The data used to create the figures in the publication "Photoelectron energy peaks shift against the radiation pressure in strong field ionization".</p>
Nowcast of Aerospace Ionizing Radiation System (NAIRAS) simulation of the effect of the 2024-05-11 coronal mass ejection and solar particle event on Earth's atmosphere
<p>The effect of the CME on the cutoff rigidity and the dose at different altitude as computed by NAIRAS.</p> <p>The neutron monitor data from OULU and the DSCOVR data for solar wind density and speed are put as a reference for when the Forbush decrease happens and when the CME arrives.</p> <p> </p> <p>The version 2 added files with shorter lead time before the CME arrival and bigger labels</p>
Annotated DNA Double Strand Break Ionizing Radiation-Induced Foci (gH2AX 53BP1) Confocal Microscopy, pt. 2
<p><strong>Summary</strong></p> <p>Dataset of confocal microscopy data of cells exposed to gamma-irradiation and immunostained with gH2AX and 53BP1.</p> <ul> <li>Nuclei segmentation Head and neck primocultures immunostained with gH2AX/53BP1, Training/Testing/Validation dataset (nucleus_segmentation.zip) (available in part 1, <a href="https://dx.doi.org/10.5281/zenodo.4067741">https://dx.doi.org/10.5281/zenodo.4067741</a>) </li> <li>IRIF Foci: Head and neck primocultures immunostained with gH2AX/53BP1, Training/Testing/Validation dataset. (foci_detection.zip) (available in part 1, <a href="https://dx.doi.org/10.5281/zenodo.4067741">https://dx.doi.org/10.5281/zenodo.4067741</a>)</li> <li>Cell lines: U-87 and NHDF Cells exposed to 0.5-8 Gy 30 min and 8h post irradiation - confocal microscopy data of gH2AX/53BP1/DAPI annotated for gH2AX, 53BP1 and colocalized foci separately (cell_lines_U87.zip and cell_lines_NHDF.zip, this part of dataset) </li> <li><strong>Code</strong>: the code is available at <a href="https://github.com/tomasvicar/DeepFoci">https://github.com/tomasvicar/DeepFoci</a></li> <li><strong>Preprint: </strong>Vicar et al, DeepFoci: Deep Learning-Based Algorithm for Fast Automatic Analysis of DNA Double Strand Break Ionizing Radiation-Induced Foci, <a href="https://doi.org/10.1101/2020.10.07.321927">10.1101/2020.10.07.321927</a></li> <li><strong>Publication: </strong>Vicar et al, TBA</li> </ul> <p><strong>Materials and methods</strong></p> <p><em>Dataset</em></p> <p>Following cells were used:</p> <p>1) The training/validation/testing datasets was based on patient-derived primary cell cultures prepared from spinocellular tumors and morphologically normal tissues adjacent to the tumor taken from patients suffering from head and neck cancer. The dataset was divided into two subsets: one for training, validation and testing the nucleus segmentation (237/10/30 fields of view (FOVs), respectively) and one for training, validation and testing the focus segmentation (239/60/100 FOVs). The dataset consisted of several cell types: a) tumor cells, b) tumor-associated fibroblasts, and c) cells from morphologically normal tissues. All cell types were fixed at different periods of time (0 (non-irradiated control), 0.5, 8 or 24 h PI) after exposure to 2 Gy of gamma-rays. The representation of cells in two subsets with respect to the cell type and post-irradiation time (i.e., DSB repair duration) was random.</p> <p>2) The evaluation dataset was used to assess the robustness of segmentation procedures. It was composed of multiple types of differently treated cells in order to represent a highly challenging dataset maximally reflecting high biological and technical variability between samples, as it may appear in research or clinical practice. The dataset contained a) mesenchymal NHDF fibroblasts coming from a standard permanent cell line, b) radioresistant U-87 glioblastoma cells coming from a standard permanent cell line, c) tumor cells (CD90-) and tumor-associated fibroblasts (CD90+) prepared as a primary culture from a spinocellular tumors of patients (different from dataset 1) suffering from a head and neck cancer, and d) cells prepared as primary cultures from morphologically normal tissue adjacent to tumors of involved head and neck cancer patients. NHDF and U-87 cells received 0.5, 0, 1, 2, 4 and 8 Gy of gamma-rays and were fixed at 30 min and 8 h post-irradiation, while the primary cultures were only exposed to the dose of 2 Gy (for a limited amount of the cell material) and fixed at 0 (non-irradiated control), 0.5, 8 or 24 h post-irradiation times.</p> <p><em>Gamma irradiation</em></p> <p>The cells were irradiated at the Institute of Biophysics, Czech Academy of Sciences, Brno, Czech Republic in a following schemes: (a) patient-derived primoculture was irradiated with a single dose of 2 Gy (D = 1 Gy/min) of gamma-rays (60Co, Chisostat, Chirana, CR) , (b) U-87 and NHDF cells were irradiated with doses 0.5-8 Gy (D = 1 Gy/min). Cells were irradiated in RPMI 1640 medium (37 °C, normal atmosphere). Confocal microscopy of gammaH2AX and 53BP1 foci immunodetection was consequently performed.</p> <p><em>Fluorescent staining</em></p> <p>DNA double strand breaks (DSBs) were quantified in different periods of time post-irradiation (30 min, 8h and 24h post irradiation) by means of $\gamma$H2AX and 53BP1 foci immunodetection combined with confocal microscopy. For details see \cite{falk2007chromatin}.</p> <p><em>Confocal microscopy</em></p> <p>The microscopy of samples was performed at the Institute of Biophysics, Czech Academy of Sciences, Brno, Czech Republic. Leica DM RXA microscope (equipped with DMSTC motorized stage, Piezzo z-movement, MicroMax CCD camera, CSU-10 confocal unit and 488, 562, and 714 nm laser diodes with AOTF) was used for acquiring detailed cell images (100× oil immersion Plan Fluotar lens, NA 1.3). Total 50 Z slices was captured with Z step size 0.3 μm.</p> <p><strong>File description</strong></p> <p>all files are compressed hyperstack tiffs (50 Z slices and 3 fluorescent channels, XYCZ order), 100x magnification</p> <ul> <li>foci_detection.zip: IRIF Foci (available in part 1, <a href="https://dx.doi.org/10.5281/zenodo.4067741">https://dx.doi.org/10.5281/zenodo.4067741</a>): Head and neck primocultures immunostained with gH2AX/53BP1, Training/Testing/Validation dataset: FOVs 240/100/120 files for training, testing, and validation, organisation: <ul> <li>data_001.tif – 3channel Z.stack tiff</li> <li>mask_001.tif – respective Z stack mask with single points per IRIF focus (manual annotation, training and testing subsets only)</li> <li>data_description.xlsx – description of sample type (2Gy post irradiation times and characteristics of primary culture of squamous cell cancer of patients)</li> <li>data_001_pos.csv – manual annotation of gH2AX/53BPI IRIF foci by two experts – cordinates file (in 2D, validation only)</li> </ul> </li> <li>nucleus_segmentation.zip (available in part 1, <a href="https://dx.doi.org/10.5281/zenodo.4067741">https://dx.doi.org/10.5281/zenodo.4067741</a>) Nuclei segmentation Head and neck primocultures immunostained with gH2AX/53BP1, FOVs 237 Training/ 30 Testing/ 10 Validation dataset <ul> <li>data_001.tif – 3channel Z.stack tiff</li> <li>mask_001.tif – respective Z stack mask with manually annotated nucleus mask (manual annotation, training and testing subsets only)</li> <li>data_description.xlsx – description of sample type (2Gy post irradiation times and characteristics of primary culture of squamous cell cancer of patients)</li> </ul> </li> <li>U87.zip and NHDF.zip: Annotated gH2AX/53BP1 foci in cell lines exposed to increasing dose, annotations performed for gH2AX, 53BP1 and colocalized focus separatelly. 679 annotated FOVs for both cell lines. <ul> <li>control.png - RGB control figure showing merge and annotated overlay</li> <li>data_53BP1.tif - TIFF Z-stack, confocal microcopy, 53BP1 channel</li> <li>data_DAPI.tif - TIFF Z-stack, confocal microcopy, DAPI channel</li> <li>data_gH2AX.tif - TIFF Z-stack, confocal microcopy, gH2AX channel</li> <li>labels.json - foci labels for individual channel</li> <li>mask.tif - generated Z-stack of nucleus mask</li> </ul> </li> </ul>
Surgery and Reducing Ionizing Radiation of the Unknown Primary
ClinicalTrials.gov study NCT06578871. IPD Sharing: YES. Countries: 2. Publications: 20.
Low Dose Ionizing Radiation Using CT Scans as a Potential Therapy for Alzheimer's Dementia: A Pilot Study
ClinicalTrials.gov study NCT03597360. IPD Sharing: NO. Countries: 1. Publications: 17.
Transcriptional and epigenetic profiling of Arabidopsis thaliana exposed to low dose ionizing radiation
<p>RNA and methylation profiling of Arabidopsis seedlings to low dose ionizing radiation</p>
CCR. Low-dose ionizing-radiation elicits the extrusion of neutrophil extracellular traps
Open the record for dataset details and reuse information.
Experimental and simulation data from Stransky et al. "Ionization by XFEL radiation produces distinct structure in liquid water"
<p>This deposition contains two separate gzipped tarballs:</p> <ol> <li><strong>preprocessed_diffraction_data.tar.gz</strong><br>pre-processed diffraction data, specifically I(q) traces for each X-ray pulse along with associated metadata</li> <li><strong>XMDYN_simulations.tar.gz</strong><br>simulation trajectories produced by the XMDYN code that describe water ionization following an intense X-ray pulse</li> </ol> <p>In more detail, the <strong>preprocessed_diffraction_data.tar.gz</strong> contains 36 HDF5 files, each corresponding to a single LCLS run. Each HDF5 contains the following data arrays:</p> <pre><code>ebeam Group event_time Dataset {8674/Inf} evr Group fiducials Dataset {8674/Inf} gas_detector Group phase_cav Group probe_energy Dataset {8674/Inf} probe_mag Dataset {8674/Inf} pump_energy Dataset {8674/Inf} pump_mag Dataset {8674/Inf} radial_profile Dataset {8674/Inf, 500} radial_profile_qvalues Dataset {500/8192}</code></pre> <p>The X contains trajectories for 7 different simulations, each in a separate directory. These top level directories are named according to simulation parameters:</p> <div>sim<BOX_SIZE>A_<probe_delay[fs]/singl>_<fraction_of_nominal_fluence></div> <div> </div> <div>Box sizes are in [Å], probe delay is in [fs] or there is only single pulse, 1.00 is the nominal fluence.</div> <div> </div> <div>Each of these directories contain subdirectories recording snapshots every 5 fs.</div> <div>The subdirectory name is the snapshot time in attoseconds.</div> <div>The simulation starts at 0 fs, the pump pulse is centered at the time 30 fs.</div> <div>That means that if there is a probe pulse with delay of 110 fs, it is centered</div> <div>at 140 fs.</div> <div> </div> <div>The snapshot directories contain 6 text files:</div> <ul> <li><strong>econf.dat</strong> : list of all atomic configurations observed in the simulation snapshot, each line starts with the atomic Z, followed by the electron configuration</li> <li><strong>T.dat</strong> : the electronic configuration for each particle in the simulation, in the form of a list of indices. The n-th element of the list indicates the electronic configuration of the n-th particle in the simulation by specifying a line in econf.dat. For instance, if the 10th element is "0", it indicates the 10th simulated particle has the electronic configuration written on the first line of econf.dat</li> <li><strong>Z.dat</strong> : sequence of atomic numbers for all simulated atoms.</li> <li><strong>q.dat</strong> : charge of atoms in elementary charge units (redundant data).</li> <li><strong>r.dat</strong> : cartesian position in [m], each atom position on one line.</li> <li><strong>v.dat</strong> : velocity components in [m/s], each atom on one line.</li> </ul>
A-dmDT390-bisFv(UCHT1) Fusion Protein With Ionizing Radiation and Pembrolizumab for the Treatment of Stage IV Melanoma
ClinicalTrials.gov study NCT02990416. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Annotated DNA Double Strand Break Ionizing Radiation-Induced Foci (gH2AX 53BP1) Confocal Microscopy, pt. 1
<p><strong>Summary</strong></p> <p>Dataset of confocal microscopy data of cells exposed to gamma-irradiation and immunostained with gH2AX and 53BP1.</p> <ul> <li>Nuclei segmentation Head and neck primocultures immunostained with gH2AX/53BP1, Training/Testing/Validation dataset (nucleus_segmentation.zip)</li> <li>IRIF Foci: Head and neck primocultures immunostained with gH2AX/53BP1, Training/Testing/Validation dataset. (foci_detection.zip)</li> <li>Cell lines: U-87 and NHDF Cells exposed to 0.5-8 Gy 30 min and 8h post irradiation - confocal microscopy data of gH2AX/53BP1/DAPI annotated for gH2AX, 53BP1 and colocalized foci separately (cell_lines_U87.zip and NHDF.zip part 2 of dataset, available at <a href="https://dx.doi.org/10.5281/zenodo.5549971">10.5281/zenodo.5549971</a>). </li> <li><strong>Code</strong>: the code is available at <a href="https://github.com/tomasvicar/DeepFoci">https://github.com/tomasvicar/DeepFoci</a></li> <li><strong>Preprint: </strong>Vicar et al, DeepFoci: Deep Learning-Based Algorithm for Fast Automatic Analysis of DNA Double Strand Break Ionizing Radiation-Induced Foci, <a href="https://doi.org/10.1101/2020.10.07.321927">10.1101/2020.10.07.321927</a></li> <li><strong>Publication: </strong>Vicar et al, TBA</li> </ul> <p><strong>Materials and methods</strong></p> <p><em>Dataset</em></p> <p>Following cells were used:</p> <p>1) The training/validation/testing datasets was based on patient-derived primary cell cultures prepared from spinocellular tumors and morphologically normal tissues adjacent to the tumor taken from patients suffering from head and neck cancer. The dataset was divided into two subsets: one for training, validation and testing the nucleus segmentation (237/10/30 fields of view (FOVs), respectively) and one for training, validation and testing the focus segmentation (239/60/100 FOVs). The dataset consisted of several cell types: a) tumor cells, b) tumor-associated fibroblasts, and c) cells from morphologically normal tissues. All cell types were fixed at different periods of time (0 (non-irradiated control), 0.5, 8 or 24 h PI) after exposure to 2 Gy of gamma-rays. The representation of cells in two subsets with respect to the cell type and post-irradiation time (i.e., DSB repair duration) was random.</p> <p>2) The evaluation dataset was used to assess the robustness of segmentation procedures. It was composed of multiple types of differently treated cells in order to represent a highly challenging dataset maximally reflecting high biological and technical variability between samples, as it may appear in research or clinical practice. The dataset contained a) mesenchymal NHDF fibroblasts coming from a standard permanent cell line, b) radioresistant U-87 glioblastoma cells coming from a standard permanent cell line, c) tumor cells (CD90-) and tumor-associated fibroblasts (CD90+) prepared as a primary culture from a spinocellular tumors of patients (different from dataset 1) suffering from a head and neck cancer, and d) cells prepared as primary cultures from morphologically normal tissue adjacent to tumors of involved head and neck cancer patients. NHDF and U-87 cells received 0.5, 0, 1, 2, 4 and 8 Gy of gamma-rays and were fixed at 30 min and 8 h post-irradiation, while the primary cultures were only exposed to the dose of 2 Gy (for a limited amount of the cell material) and fixed at 0 (non-irradiated control), 0.5, 8 or 24 h post-irradiation times.</p> <p><em>Gamma irradiation</em></p> <p>The cells were irradiated at the Institute of Biophysics, Czech Academy of Sciences, Brno, Czech Republic in a following schemes: (a) patient-derived primoculture was irradiated with a single dose of 2 Gy (D = 1 Gy/min) of gamma-rays (60Co, Chisostat, Chirana, CR) , (b) U-87 and NHDF cells were irradiated with doses 0.5-8 Gy (D = 1 Gy/min). Cells were irradiated in RPMI 1640 medium (37 °C, normal atmosphere). Confocal microscopy of gammaH2AX and 53BP1 foci immunodetection was consequently performed.</p> <p><em>Fluorescent staining</em></p> <p>DNA double strand breaks (DSBs) were quantified in different periods of time post-irradiation (30 min, 8h and 24h post irradiation) by means of $\gamma$H2AX and 53BP1 foci immunodetection combined with confocal microscopy. For details see \cite{falk2007chromatin}.</p> <p><em>Confocal microscopy</em></p> <p>The microscopy of samples was performed at the Institute of Biophysics, Czech Academy of Sciences, Brno, Czech Republic. Leica DM RXA microscope (equipped with DMSTC motorized stage, Piezzo z-movement, MicroMax CCD camera, CSU-10 confocal unit and 488, 562, and 714 nm laser diodes with AOTF) was used for acquiring detailed cell images (100× oil immersion Plan Fluotar lens, NA 1.3). Total 50 Z slices was captured with Z step size 0.3 μm.</p> <p><strong>File description</strong></p> <p>all files are compressed hyperstack tiffs (50 Z slices and 3 fluorescent channels, XYCZ order), 100x magnification</p> <ul> <li>foci_detection.zip: IRIF Foci: Head and neck primocultures immunostained with gH2AX/53BP1, Training/Testing/Validation dataset: FOVs 240/100/120 files for training, testing, and validation, organisation: <ul> <li>data_001.tif – 3channel Z.stack tiff</li> <li>mask_001.tif – respective Z stack mask with single points per IRIF focus (manual annotation, training and testing subsets only)</li> <li>data_description.xlsx – description of sample type (2Gy post irradiation times and characteristics of primary culture of squamous cell cancer of patients)</li> <li>data_001_pos.csv – manual annotation of gH2AX/53BPI IRIF foci by two experts – cordinates file (in 2D, validation only)</li> </ul> </li> <li>nucleus_segmentation.zip Nuclei segmentation Head and neck primocultures immunostained with gH2AX/53BP1, FOVs 237 Training/ 30 Testing/ 10 Validation dataset <ul> <li>data_001.tif – 3channel Z.stack tiff</li> <li>mask_001.tif – respective Z stack mask with manually annotated nucleus mask (manual annotation, training and testing subsets only)</li> <li>data_description.xlsx – description of sample type (2Gy post irradiation times and characteristics of primary culture of squamous cell cancer of patients)</li> </ul> </li> <li>U87.zip and NHDF.zip: Annotated gH2AX/53BP1 foci in cell lines exposed to increasing dose, annotations performed for gH2AX, 53BP1 and colocalized focus separatelly. 679 annotated FOVs for both cell lines (part 2 of dataset, available at <a href="https://dx.doi.org/10.5281/zenodo.5549971">10.5281/zenodo.5549971</a>). <ul> <li>control.png - RGB control figure showing merge and annotated overlay</li> <li>data_53BP1.tif - TIFF Z-stack, confocal microcopy, 53BP1 channel</li> <li>data_DAPI.tif - TIFF Z-stack, confocal microcopy, DAPI channel</li> <li>data_gH2AX.tif - TIFF Z-stack, confocal microcopy, gH2AX channel</li> <li>labels.json - foci labels for individual channel</li> <li>mask.tif - generated Z-stack of nucleus mask</li> </ul> </li> </ul>
Study of Combined Ionizing Radiation and Ipilimumab in Metastatic Non-small Cell Lung Cancer (NSCLC)
ClinicalTrials.gov study NCT02221739. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Exposure to ionizing radiation induced persistent gene expression changes in mouse mammary gland
Six to eight week old female C57BL/6J mice were exposed to 2 Gy of whole body xce xb3 radiation and mammary glands were surgically removed 2-month after radiation. RNA was isolated and microarray hybridization performed for gene expression analysis. 5 samples were analyzed: 2 controls at 2 months 1 2 Gy at 2 months and 2 7 Gy at 2 months
Gene expression in human peripheral blood 48 hours after exposure to ionizing radiation
Analysis of human peripheral blood 48 hours after irradiation ex vivo with graded doses of gamma rays. Results have been used in building and testing classifiers to predict exposure dose for use in radiological triage and also provide insight into immune cell responses. Results were compared with those from earlier times and from patients exposed in vivo. Peripheral blood from 5 healthy donors was exposed ex vivo to 0. 0.5 2 5 or 8 Gy gamma-rays and gene expression was analyzed up to 48 hours after exposure.
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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.
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.