Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,206
datasets available to search
ShareScore release 0.7.1
Dataset results
1,206 results for “gamma”
Composite of graphene and silver nanoparticles obtained by low-dose gamma irradiation
<p>Content:</p> <p>TEM.zip - TEM images of composites, file type .tif and .dm3</p> <p>VINCA_FTIR.zip - FTIR data of graphene oxide and exfoliated graphene, file type .csv</p> <p>VINCA_UV-Vis.zip - FTIR data of graphene oxide and exfoliated graphene composites, file type .csv</p> <p>IEMN_VNA_Graphene-AgNP - EMI shielding measurement of graphene oxide and exfoliated graphene composites, file type .xlsx</p> <p>VINCA_CA_graphene-AgNP.jpg - contact angle measurement of graphene oxide and exfoliated graphene composites</p> <p>VINCA_532nmLASER.zip - temperature elevation measurements of graphene oxide and exfoliated graphene composites, file type .csv</p> <p>FTPO_TGA_Graphene-AgNP.zip - TGA data of graphene oxide and exfoliated graphene composites, file type .txt</p> <p> </p> <p> </p>
Gamma rays from dark matter spikes in EAGLE simulations - IMBH mock catalogue
<p>DArk Matter SPIkes (DAMSPI) is a fully Python-based software for the analysis of dark matter spikes around Intermediate Mass Black Holes (IMBHs) in the Milky Way. It allows to extract an IMBH catalogue and their corresponding dark matter spike parameters from the EAGLE simulations in order to probe a potential gamma-ray signal from dark matter self-annihilation. </p> <p>The dataset contains the IMBH catalogue including, among others, the coordinates, mass, formation redshift and spike parameters for each individual IMBH. Each column of the catalogue is described in detail in J. Aschersleben et al. (2024). We also provide separate files for which we calculated the gamma-ray fluxes for different dark matter masses and annihilation cross sections. Lastly, we provide a catalogue of our selection of Milky Way like galaxies within EAGLE. The columns of these files are also described in J. Aschersleben et al. (2024).</p> <p>The source code to extract this dataset is publicy available here:</p> <div> <div> <pre><a href="https://doi.org/10.5281/zenodo.11488472">https://doi.org/10.5281/zenodo.11488472</a></pre> </div> </div> <h2>Description of the data files</h2> <p>The imbh_catalogue/imbh/ directory contains the following files:</p> <ol> <li>catalogue_nfw.h5</li> <li>catalogue_cored_gamma_0p3.h5</li> <li>catalogue_cored_gamma_0p9.h5</li> <li>catalogue_cored_gamma_free.h5</li> </ol> <p>They contain the IMBH catalogues, including the coordinates and dark matter spike parameters, calculated assuming the 1.) NFW profile, 2.) cored profile with a fixed core index of 0.0, 3.) cored profile with a fixed core index of 0.4 and 4.) cored profile with the core index as a free fitting parameter.</p> <p>The imbh_catalogue/flux/<channel>/<energy_threshold>/ directory contains the gamma-ray fluxes of the IMBHs for a given annihilation channel, energy threshold, and dark matter mass. E.g. the imbh_catalogue/flux/b_channel/e_th_0.1GeV/m_dm_10.0GeV.h5 file contains the IMBH fluxes assuming the b-channel, an energy threshold of 0.1 GeV and a dark matter mass of 10 GeV. The IMBH fluxes are calculated for a variety of velocity weighted annihilation cross sections. </p> <p>The imbh_catalogue/galaxy/ directory contains the mw_galaxies_catalogue_nfw.h5 file which contains our selection of Milky Way-like galaxies within EAGLE.</p> <p>The HDF files can be opened in Python with:</p> <pre><code>import pandas as pd file_path = "<path_to_file>.h5" df = pd.read_hdf(file_path, key="table") # Printing the first few rows of the DataFrame print(df.head())</code><code> </code></pre>
Dataset: AFC Gamma, Inc. (AFCG) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: AFC Gamma, Inc. (AFCG) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 2 in Gamma Radiation Tolerance and Protein Carbonylation Caused by Irradiation of Resting Cysts in the Free-living Ciliated Protist Colpoda cucullus
Fig. 2. Analysis of proteins (Left panel) and protein carbonylation by ECL (Right panel) from non-irradiated and 4000 Gy irradiated cells. The samples in the lanes were from non-irradiated cells (NonIR), 4000 Gy irradiated cells (IR), and cells incubated for 12 h after 4000 Gy irradiation (IR incubated). The protein bands and ECL signals were measured and are shown in parentheses for each lane relative to the Non-IR sample.
Fig. 4 in Gamma Radiation Tolerance and Protein Carbonylation Caused by Irradiation of Resting Cysts in the Free-living Ciliated Protist Colpoda cucullus
Fig. 4. Relative viability of Colpoda vegetative cells, wet cysts, and dry cysts after gamma radiation doses of 0 (non-irradiated), 500, 1000, 2000, 3000, and 4000 Gy. The column heights and attached bars are the means and standard errors, respectively, of six measurements at each dose. Double asterisks indicate a significant difference at p <0.01 (Mann-Whitney U test).
Fig. 3 in Gamma Radiation Tolerance and Protein Carbonylation Caused by Irradiation of Resting Cysts in the Free-living Ciliated Protist Colpoda cucullus
Fig. 3. Excystment of Colpoda dry cysts, after gamma irradiation at 0 (non-irradiated), 500, 1000, 2000, 3000, and 4000 Gy, as a function of time after induction of excystment. The points and bars mark the means and standard errors, respectively, of six measurements at each dose. The excystment mean ± SE at 3, 6, 24, and 96 h after the induction of excystment is shown in (a), (b), (c), and (d), respectively. The column heights and attached bars in (a) to (d) are the means and standard errors, respectively, of six measurements at each dose. Asterisks and double asterisks indicate a significant difference at p <0.05 and p <0.01, respectively (Mann-Whitney U test).
Fig. 1 in Gamma Radiation Tolerance and Protein Carbonylation Caused by Irradiation of Resting Cysts in the Free-living Ciliated Protist Colpoda cucullus
Fig. 1. Excystment of Colpoda wet cysts, after gamma irradiation at 0 (non-irradiated), 500, 1000, 2000, 3000, and 4000 Gy, as a function of time after the induction of excystment. The points and bars mark the means and standard errors, respectively, of six measurements at each dose. The excystment mean ± SE at 3, 6, 9, and 36 h after induction of excystment is shown in (a), (b), (c), and (d), respectively. The column heights and attached bars in (a) to (d) are the means and standard errors, respectively, of six measurements. Asterisks and double asterisks indicate a significant difference at p <0.05 and p <0.01, respectively (Mann-Whitney U test).
Fig. 2 in Flight ability and dispersal of European grapevine moth gamma-irradiated males (Lepidoptera: Tortricidae)
Fig. 2. Schematic representation of the vineyard and the pheromone traps positions at the experimental plot where the marked male moths were released.
Fig 1 in Flight ability and dispersal of European grapevine moth gamma-irradiated males (Lepidoptera: Tortricidae)
Fig 1. Schematic representation of the flight assessment cage used to measure the flight responses of Lobesia botrana males to calling females. In the female compartment, 2-day-old virgin females were confined inside a small cylindrical plastic mesh box with a 5% sucrose-wetted wick. Males irradiated either with 150 Gy or with 350 Gy and untreated males differentially marked with variously colored fluorescent powders were introduced into the male compartment. The number of males of each of the 3 kinds that flew through the open slit at the 45 cm height [the 2 lower openings (slits) were sealed] into the female compartment were recorded at 24, 48, 72 and 96 h. Air was drawn into the female compartment and exhausted from the male compartment.
Fig. 2 in Development, reproduction and sexual competitiveness of Conopomorpha sinensis (Lepidoptera: Gracillariidae) gamma-irradiated as pupae and adults
Fig. 2. Mean (± SE) mortality of eggs oviposited by Conopomorpha sinensis females involved in 3 different crosses. The upper curve shows the percentage hatch of eggs from the cross, UF × TM in which males were γ-irradiated as mature pupae with doses ranging egg from 50 and 300 Gy. The middle curve shows the corresponding results from the cross, TF × UM, however females irradiated with 200–300 Gy did not oviposit any eggs. The lower curve shows the corresponding results when both parents were irradiated.
Fig. 1 in Development, reproduction and sexual competitiveness of Conopomorpha sinensis (Lepidoptera: Gracillariidae) gamma-irradiated as pupae and adults
Fig. 1. Fecundity of P generation Conopomorpha sinensis adults that emerged from pupae irradiated at various γ-radiation doses ranging from 50 to 300 Gy. UF = non-irradiated females, TF = treated females, UM = non-irradiated males, TM = treated males. Different letters above bars indicate statistically significant differences within each combination (DMRT, P = 0.05).
Fig. 2 in Influence of gamma-irradiation on flight ability and dispersal of Conopomorpha sinensis (Lepidoptera: Gracillariidae)
Fig. 2. Numbers of adult Conopomorpha sinensis males recaptured in traps deployed at various distances (m) from the release point in 2 release/recapture experiments in a litchi orchard of the South China Agricultural University, Guangzhou, China. The males were either non-irradiated or irradiated either with 150 or 200 Gy. A: First release, B: Second release.
Fig. 1 in Influence of gamma-irradiation on flight ability and dispersal of Conopomorpha sinensis (Lepidoptera: Gracillariidae)
Fig. 1. Survival (days) of non-irradiated Conopomorpha sinensis males either dyed with 1 of 3 different fluorescent colors or undyed (control) in the laboratory. Each treatment involved 30 males.
Fig. 3 in Influence of gamma-irradiation on flight ability and dispersal of Conopomorpha sinensis (Lepidoptera: Gracillariidae)
Fig. 3. Frequency distributions of the dispersal directions of adult Conopomorpha sinensis males in 2 release/recapture experiments in a litchi orchard of the South China Agricultural University, Guangzhou, China. The males were either non-irradiated or irradiated either with 150 or 200 Gy. A: First release, B: Second release.
Data used in the study: Highly dynamic gamma-ray emissions are common in tropical thunderclouds
<p>This repository includes the data presented in the study: Highly dynamic gamma-ray emissions are common in tropical thunderclouds.</p> <p>Detailed description is given in the uploaded pdf document: Data_description.pdf</p>
Complete figure set for 'Radio Morphology of Gamma-ray Sources: Double-Lobed Radio Sources'
<p>This file is the online supplementary material for the data that will be published in the manuscript title "Radio Morphology of Gamma-ray Sources: Double-Lobed Radio Sources" by the Astrophysical Journal.</p>
Linked collectors and determiners for: Análisis de las relaciones entre las diversidades alfa, beta y gamma a distintos niveles de escala espacial: Procesos históricos y ecológicos que intervienen. V Etapa.
Natural history specimen data linked to collectors and determiners held within, "Análisis de las relaciones entre las diversidades alfa, beta y gamma a distintos niveles de escala espacial: Procesos históricos y ecológicos que intervienen. V Etapa". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/8052bdc8-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/8052bdc8-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/8052bdc8-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/8052bdc8-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: The structure of the cataract causing P 23 T mutant of human gamma-D crystallin.
Natural history specimen data linked to collectors and determiners held within, "The structure of the cataract causing P 23 T mutant of human gamma-D crystallin". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4caaf0c8-bd51-4d80-86ba-5544792d65ce">https://bionomia.net/dataset/4caaf0c8-bd51-4d80-86ba-5544792d65ce</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4caaf0c8-bd51-4d80-86ba-5544792d65ce">https://gbif.org/dataset/4caaf0c8-bd51-4d80-86ba-5544792d65ce</a>. Formatted as a Frictionless Data package.
Observation of the gamma-ray binary HESS J0632+057 with the H.E.S.S., MAGIC, and VERITAS telescopes - data release
<p><strong>Observation of the gamma-ray binary HESS J0632+057 with the H.E.S.S., MAGIC, and VERITAS telescopes - data release</strong></p> <p>The results of gamma-ray observations of the binary system HESS J0632+057 collected during 450 hours over 15 years, between 2004 and 2019, with the H.E.S.S., MAGIC, and VERITAS telescopes are presented in <strong>Observation of the gamma-ray binary HESS J0632+057 with the H.E.S.S., MAGIC, and VERITAS telescopes</strong> (ApJ, to be published).<br> This repository provides access to all processed data presented in the publication in csv and ascii format.<br> For a detailed description of analysis and data processing, see the associated primary publication.</p> <p><strong>Please cite always the following primary reference when using these data: </strong></p> <ul> <li> <p><a href="https://doi.org/10.3847/1538-4357/ac29b7">The Astrophysical Journal, 923:241 (30pp), 2021 December 20</a></p> </li> <li> <p><a href="https://arxiv.org/abs/2109.11894">arXiv:2109.11894</a></p> </li> </ul> <p>Data Publication Year: 2021</p> <p>Citation: The VERITAS, MAGIC, and H.E.S.S. Collaborations (2021). Observation of the gamma-ray binary HESS J0632+057 with the HESS, MAGIC, and VERITAS telescopes - data release. DOI **[DOI to be added]**</p> <p>Additional information on the gamma-ray observatories:<br> - H.E.S.S. (<a href="https://www.mpi-hd.mpg.de/hfm/HESS/">https://www.mpi-hd.mpg.de/hfm/HESS/</a>) and H.E.S.S. Auxiliary Data Page (<a href="https://www.mpi-hd.mpg.de/hfm/HESS/pages/publications/auxiliary/auxinfo_hessj0632_HMVdata.html">https://www.mpi-hd.mpg.de/hfm/HESS/pages/publications/auxiliary/auxinfo_hessj0632_HMVdata.html</a>)<br> - MAGIC (<a href="https://magic.mpp.mpg.de/">https://magic.mpp.mpg.de/</a>) and MAGIC Data Page (<a href="http://vobs.magic.pic.es/fits/">http://vobs.magic.pic.es/fits/</a>)<br> - VERITAS (<a href="https://veritas.sao.arizona.edu/">https://veritas.sao.arizona.edu/</a>) and VERITAS Data Page (<a href="https://github.com/VERITAS-Observatory/VERITAS-VTSCat">https://github.com/VERITAS-Observatory/VERITAS-VTSCat</a>)</p> <p>This data repository is made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://opendatacommons.org/licenses/pddl/1.0/</p> <p>## List of data:</p> <p>(best to view with a markdown reader)</p> <p>1. Gamma-ray and X-ray fluxes (Figures 2, 3, and 9):<br> - Gamma-ray integral flux (>350 GeV) from H.E.S.S. observations: [Fig02_03_09/LightCurve-HESS.ecsv](Fig02_03_09/LightCurve-HESS.ecsv)<br> - Gamma-ray integral flux (>350 GeV) from MAGIC observations: [Fig02_03_09/LightCurve-MAGIC.ecsv](Fig02_03_09/LightCurve-MAGIC.ecsv)<br> - Gamma-ray integral flux (>350 GeV) from VERITAS observations: [Fig02_03_09/LightCurve-VERITAS.ecsv](Fig02_03_09/LightCurve-VERITAS.ecsv)<br> - X-ray fluxes (0.3–10 keV) from Swift-XRT, Chandra, XMM, NuSTAR, Suzaku observations: [Fig02_03_09/LightCurve-XRay.ecsv](Fig02_03_09/LightCurve-XRay.ecsv)<br> 2. Halpha observations (Figure 4):<br> - Profile parameters of Halpha observations [Fig04/Halpha.ecsv](Fig04/Halpha.ecsv)<br> 3. Gamma-ray - X-ray correlation (Figure 5):<br> - Contemporaneous gamma-ray (>350 GeV) vs X-ray (0.3–10 keV) integral fluxes: [Fig05/LC-cross-Gamma-XRay.ecsv](Fig05/LC-cross-Gamma-XRay.ecsv)<br> - Discrete cross-correlation function (DCF) between gamma- ray and X-ray data: [Fig05/DCF-cross-Gamma-XRay-HESSJ0632p057.ecsv](Fig05/DCF-cross-Gamma-XRay-HESSJ0632p057.ecsv)<br> 4. Gamma-ray vs Optical and X-ray vs Optical correlations (Figure 6):<br> - Halpha vs gamma-ray observations: [Fig06/Gamma-ray-Optical-Correlation.ecsv](Fig06/Gamma-ray-Optical-Correlation.ecsv)<br> - Halpha vs X-ray observations: [Fig06/X-ray-Optical-Correlation.ecsv](Fig06/X-ray-Optical-Correlation.ecsv)<br> 5. Spectral energy distributions (phase averaged; Figure 7 and 8)<br> - SEDs from H.E.S.S. observations: [Fig07_08/HESS-phaserange04-spectrum.ecsv](Fig07_08/HESS-phaserange04-spectrum.ecsv), [Fig07_08/HESS-phaserange1-spectrum.ecsv](Fig07_08/HESS-phaserange1-spectrum.ecsv), [Fig07_08/HESS-phaserange2-spectrum.ecsv](Fig07_08/HESS-phaserange2-spectrum.ecsv), [Fig07_08/HESS-phaserange3-spectrum.ecsv](Fig07_08/HESS-phaserange3-spectrum.ecsv)<br> - SEDs from MAGIC observations: [Fig07_08/MAGIC-phaserange04-spectrum.ecsv](Fig07_08/MAGIC-phaserange04-spectrum.ecsv), [Fig07_08/MAGIC-phaserange1-spectrum.ecsv](Fig07_08/MAGIC-phaserange1-spectrum.ecsv), [Fig07_08/MAGIC-phaserange2-spectrum.ecsv](Fig07_08/MAGIC-phaserange2-spectrum.ecsv)<br> - SEDs from VERITAS observations: [Fig07_08/VERITAS-phaserange04-spectrum.ecsv](Fig07_08/VERITAS-phaserange04-spectrum.ecsv), [Fig07_08/VERITAS-phaserange1-spectrum.ecsv](Fig07_08/VERITAS-phaserange1-spectrum.ecsv), [Fig07_08/VERITAS-phaserange2-spectrum.ecsv](Fig07_08/VERITAS-phaserange2-spectrum.ecsv), [Fig07_08/VERITAS-phaserange3-spectrum.ecsv](Fig07_08/VERITAS-phaserange3-spectrum.ecsv)<br> - SEDs from Swift-XRT observations: [Fig07_08/XRT-phaserange04-spectrum.ecsv](Fig07_08/XRT-phaserange04-spectrum.ecsv), [Fig07_08/XRT-phaserange1-spectrum.ecsv](Fig07_08/XRT-phaserange1-spectrum.ecsv), [Fig07_08/XRT-phaserange2-spectrum.ecsv](Fig07_08/XRT-phaserange2-spectrum.ecsv), [Fig07_08/XRT-phaserange3-spectrum.ecsv](Fig07_08/XRT-phaserange3-spectrum.ecsv)<br> 6. Spectral energy distributions (orbit 9 and 17; Figure 10):<br> - SEDs from VERITAS observations: [Fig10/VERITAS-MJD55585-55600-spectrum.ecsv](Fig10/VERITAS-MJD55585-55600-spectrum.ecsv), [Fig10/VERITAS-MJD55600-55603-spectrum.ecsv](Fig10/VERITAS-MJD55600-55603-spectrum.ecsv), [Fig10/VERITAS-MJD55614-55623-spectrum.ecsv](Fig10/VERITAS-MJD55614-55623-spectrum.ecsv), [Fig10/VERITAS-MJD55624-55631-spectrum.ecsv](Fig10/VERITAS-MJD55624-55631-spectrum.ecsv), [Fig10/VERITAS-MJD58136-spectrum.ecsv](Fig10/VERITAS-MJD58136-spectrum.ecsv), [Fig10/VERITAS-MJD58141-spectrum.ecsv](Fig10/VERITAS-MJD58141-spectrum.ecsv), [Fig10/VERITAS-MJD58142-spectrum.ecsv](Fig10/VERITAS-MJD58142-spectrum.ecsv), [Fig10/VERITAS-MJD58143-spectrum.ecsv](Fig10/VERITAS-MJD58143-spectrum.ecsv), [Fig10/VERITAS-MJD58153-58154-spectrum.ecsv](Fig10/VERITAS-MJD58153-58154-spectrum.ecsv)<br> - SEDs from MAGIC observations: [Fig10/MAGIC-MJD55585-55600-spectrum.ecsv](Fig10/MAGIC-MJD55585-55600-spectrum.ecsv)<br> - SEDs from Swift-XRT observations: [Fig10/XRT-MJD55585-55600-spectrum.csv](Fig10/XRT-MJD55585-55600-spectrum.csv), [Fig10/XRT-MJD55600-55603-spectrum.csv](Fig10/XRT-MJD55600-55603-spectrum.csv), [Fig10/XRT-MJD55614-55623-spectrum.csv](Fig10/XRT-MJD55614-55623-spectrum.csv), [Fig10/XRT-MJD55624-55631-spectrum.csv](Fig10/XRT-MJD55624-55631-spectrum.csv), [Fig10/XRT-MJD58142-spectrum.csv](Fig10/XRT-MJD58142-spectrum.csv), [Fig10/XRT-MJD58143-spectrum.csv](Fig10/XRT-MJD58143-spectrum.csv), [Fig10/XRT-MJD58152-spectrum.csv](Fig10/XRT-MJD58152-spectrum.csv), [Fig10/XRT-MJD58153-spectrum.csv](Fig10/XRT-MJD58153-spectrum.csv)<br> 7. Contemporaneous X-ray and gamma-ray spectral energy distribution (Appendix D)<br> - SEDs from VERITAS observations: [Auxiliary/VERITAS*](Auxiliary/)</p>
ScienceDex guides
Understand access before you commit
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.