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zenodo36/100

Fig. 39. B. virgo, habitus. A, B in A Review Of The Genus Blaps (Coleoptera: Tenebrionidae) Of Central And South Kazakhstan With Description Of Two New Species

Fig. 39. B. virgo, habitus. A, B = m; C = f; A, C = dorsal view; B = ventral view

opencc-by-4.0May 2020View details →
zenodo36/100

Figure 1 in Major threats and habitat use status of Demoiselle crane (Anthropoides virgo), in district Bannu, Pakistan

Figure 1. Map of the study area.

opencc-by-4.0Dec 2022View details →
zenodo36/100

Data Release: Spin it as you like: the (lack of a) measurement of the spin tilt distribution with LIGO-Virgo-KAGRA binary black holes

<p>This is the data release associated with <strong>Vitale et al <a href="https://arxiv.org/abs/2209.06978">2209.06978</a></strong></p> <p><strong>Samples.zip: </strong>Contains all of the hyper posterior samples for the runs listed in Tables G.1.</p> <p>The files are in json format. Bilby offers a dedicated routine to read them in</p> <p>&nbsp;</p> <blockquote> <p>import bilby<br> data= bilby.core.result.read_in_result(path_to_json)</p> </blockquote> <p>&nbsp;</p> <p>See the <a href="https://lscsoft.docs.ligo.org/bilby/">Bilby documentation </a>for what is contained in the result object.&nbsp;</p> <p>For each run, we report the posterior hyper samples for the mass model, reshift model, spin magnitude model, spin tilt model and merger rate [Gpc^-3 yr^-1]</p> <p>Here the name used to store and&nbsp;a short description of each parameter (Follow the references in the Method section of the paper for a description of each sub-model):</p> <ol> <li>Primary mass model (Power Law + Peak for all runs) <ol> <li>power_law_slope_m1, slope of the primary mass power law component</li> <li>minmass_m1, minimum BH mass</li> <li>maxmass_m1, maximum BH mass</li> <li>low_end_smoothing_m1, smoothing at the low-mass end</li> <li>peak_branchingratio_m1, branching ratio between Gaussian peak and power law (1= 100% peak)</li> <li>peak_mean_m1, mean of the Gaussian peak</li> <li>peak_sigma_m1, sigma of the Gaussian peak&nbsp;</li> </ol> </li> <li>Mass ratio model (power law&nbsp;for all runs) <ol> <li>power_law_slope_mass_ratio, slope of the mass ratio&nbsp;</li> </ol> </li> <li>Redshift (power law for all runs) <ol> <li>power_law_slope_redshift, slope of the redshift</li> </ol> </li> <li>Spin magnitude (IID beta distributions for all runs) <ol> <li>alpha_chi, first argument of beta distribution</li> <li>beta_chi, second argument of beta distribution</li> </ol> </li> <li>Cosine of tilt angle <ol> <li>Gaussian models <ol> <li>mu_0_costilt, for Gaussian models w/o correlation, the mean of the left (or only) Gaussian</li> <li>sigma_0_costilt, for Gaussian models w/o correlation,&nbsp;the sigma of the left (or only) Gaussian</li> <li>mu_1_costilt, for Gaussian models w/o correlation, the mean of the right Gaussian</li> <li>sigma_1_costilt, for Gaussian models w/o correlation, the sigma of the right&nbsp;Gaussian</li> <li>mu_a_costilt, for Gaussian model with correlation,&nbsp;the constant part of the Gaussian mean</li> <li>mu_b_costilt, for Gaussian model with correlation,&nbsp;the coefficient of the linearly&nbsp;evolving part of the Gaussian mean</li> <li>sigma_a_costilt, for Gaussian model with correlation,&nbsp;the constant part of the Gaussian sigma</li> <li>sigma_b_costilt, for Gaussian model with correlation,&nbsp;the coefficient of the linearly&nbsp;evolving part of the Gaussian sigma</li> </ol> </li> <li>Beta models <ol> <li>alpha_a_costilt, for all Beta models, the&nbsp;constant part of the first parameter of the Beta distribution</li> <li>alpha_b_costilt, for all Beta models, the coefficient of the linearly&nbsp;evolving part of the first parameter of the Beta distribution</li> <li>beta_a_costilt, for all Beta models, the&nbsp;constant part of the second parameter of the Beta distribution</li> <li>beta_b_costilt, for all Beta models, the coefficient of the linearly&nbsp;evolving part of the second parameter of the Beta distribution</li> </ol> </li> <li>Tukey models: <ol> <li>tukey_x0, the center of the Tukey as defined in appendix E of the paper</li> <li>tukey_k, Tk as defined in appendix E of the paper</li> <li>tukey_r, Tk as defined in appendix E of the paper</li> </ol> </li> <li>Branching ratios: <ol> <li>spin_mixture_0, for 2-component models, this is the branching ratio of the non-isotropic component</li> <li>spin_mixture_1, for Isotropic + Gaussian + Tukey and Isotropic + Gaussian + Beta this is the branching ratio of the <strong>Gaussian</strong> component;&nbsp;for Isotropic + 2 Gaussian this is the branching ratio of the <strong>Gaussian on the right.</strong></li> </ol> </li> </ol> </li> <li>Merger rate <ol> <li>rates, merger rate per unit Gpc cubed per unit year</li> </ol> </li> </ol> <p>Note that some of the parameters for the tilt models might not be used, but still stored (and fixed to - usually - zero). This can be checked by verifying what priors were used for each parameter. For example the <em>Isotropic</em> run was obtained from the <em>Isotropic + Gaussian&nbsp;&nbsp;</em>model by setting the branching ratio of the Gaussian component to zero (at which point the values of mu and sigma costitl are irrelevant)&nbsp;</p> <blockquote> <p>&gt; data[&#39;prior&#39;]<br> &nbsp;[...]<br> <strong>&nbsp;&#39;spin_mixture_0&#39;: DeltaFunction(peak=0, name=None, latex_label=None, unit=None),</strong><br> &nbsp;</p> </blockquote> <p>&nbsp;</p> <p><strong>Figures.zip:</strong> Contains PDFs for all figures in the paper, plus individual figures for p(costau) and dR/dcostau for each model.</p> <p>Drop me (Salvatore Vitale) an email if anything doesn&#39;t work, is missing, or if you spot issues. Thanks!&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

Figure 9. Evoplosoma virgo USNM E24285 HOLOTYPE. A in Phylogenetic revision of the Hippasterinae (Goniasteridae; Asteroidea): systematics of deep sea corallivores, including one new genus and three new species

Figure 9. Evoplosoma virgo USNM E24285 HOLOTYPE. A, abactinal surface; B, oral surface showing furrow and adambulacral armature; C, close-up of abactinal granules; D, dorsolateral view showing abactinal plates (AB), superomarginal (SM), and inferomarginal (IM) plate series. Scale bars: A = 20 cm; B, C = 2 mm; D = 5 mm.

opennotspecifiedSep 2010View details →
zenodo32/100

PixelPop: Nonparametric analysis of correlations in the binary black hole population with LIGO–Virgo–KAGRA data

<p>Data release accompanying the PixelPop papers, analyzing gravitational wave populations.</p> <p>The first dataset (in gwtc3_result_files) is the posterior samples for the runs presented in analysis of LIGO--Virgo--KAGRA data, following the third gravitational wave catalog, see https://arxiv.org/abs/2406.16844. We include a python notebook (example_plot.ipynb) showing how to create the plots presented in this paper.</p> <p>In v2, we also include samples from the predictive distributions. Due to the large uncertainties, marginalizing over the hyperposterior may be a poor representation of the inferred distribution, and so instead we provide samples from the&nbsp;<em>median</em> predictive distribution. That is, samples from the distribution shown in the central panels of the figures.&nbsp;</p> <p>The second dataset (in o4inj_result_files) is the posterior samples accompanying the runs presented in the technical background paper, see https://arxiv.org/abs/2406.16813.&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Data release of the Swift-LVK subthreshold search during the third LIGO-Virgo-KAGRA observing run

<div> <div>Here we describe the structure of the data release.</div> <br> <div>1. The folder fits contains all the upper limit maps in the for of fits files. Run the code plot_maps_paper.py to obtain the figures 3 and 4 of the paper</div> <br> <div>2. The folder pdf contains all the upperlimit maps, with the GW sky localizations, in pdf format</div> <br> <div>3. The file lum.csv contains the data to reproduce Fig. 6. If the 'cred' colums is empty, then the event is only detected in low latencyl. If 'no' then the event has p_astro&lt;0.5, otherwise it has p_astro&gt;0.5.</div> <br> <div>4. The file joint_far.cvs contains the data to reproduce the Figure 7. Columns are self explanatory</div> <br> <div>5. The file data_BBH.txt, data_BBH_highpastro.txt, data_BBH_allreal.txt, data_BBH_allreal_earth.txt contain the likelihood to produce Figs 8-9-10-11. The plots are produced runnning read.py and read_allreal.py</div> <br> <div>6. All the tables are provided in cvs format</div> </div>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Data Release: "A neural network emulator of the Advanced LIGO and Advanced Virgo selection function"

<p>This dataset contains results presented in "<strong>A neural network emulator of the Advanced LIGO and Advanced Virgo selection function</strong>" (<a href="https://www.arxiv.org/abs/2408.16828">arXiv: 2408.16828</a>).</p> <p>The code used to generate this data and produce figures in the paper can be found at <a href="https://github.com/tcallister/learning-p-det/">https://github.com/tcallister/learning-p-det/</a>. Specific instructions about the workflow are provided in the <a href="https://tcallister.github.io/learning-p-det/">accompanying documentation</a>.</p> <p>The primary deliverable of this work is a trained neural network emulator for the compact binary selection function during the Advanced LIGO and Advanced Virgo O3 observing run. This emulator is made available in a standalone companion repository, <a href="https://github.com/tcallister/pdet">https://github.com/tcallister/pdet</a>.</p> <p>Additional information:</p> <ul> <li>The files <em>endo3_bbhpop-LIGO-T2100113-v12.hdf5</em>, <em>endo3_bnspop-LIGO-T2100113-v12.hdf5</em>, and <em>endo3_nsbhpop-LIGO-T2100113-v12.hdf5</em>, used for network training, were created and released by the LIGO-Virgo-KAGRA Collaboration at <a href="../records/7890437">https://zenodo.org/records/7890437</a>.</li> <li>The file&nbsp;<em>sampleDict_FAR_1_in_1_yr.pickle</em>, used during hierarchical inference, was created via code in the repository <a href="https://github.com/tcallister/get-lvk-data">https://github.com/tcallister/get-lvk-data</a>.</li> <li>Inference results (<em>popsummary_standardInjections.h5</em> and <em>popsummary_dynamicInjections.h5</em>) are provided in the&nbsp;<em>popsummary</em> results format; see <a href="https://git.ligo.org/christian.adamcewicz/popsummary">https://git.ligo.org/christian.adamcewicz/popsummary</a>.</li> </ul> <p>Changelog:</p> <ul> <li>v2: Added missing file <em>sampleDict_FAR_1_in_1_yr.pickle</em></li> </ul>

opencc-by-4.0Aug 2024View details →
zenodo32/100

FIGURES 76–79. Abiskomyia virgo orientalis subsp. nov., male. 76, flagellomeres 1–13 in Review of the genus Abiskomyia Edwards (Diptera: Chironomidae: Orthocladiinae), with description of new taxa from the Russian Far East and bordering territories

FIGURES 76–79. Abiskomyia virgo orientalis subsp. nov., male. 76, flagellomeres 1–13; 77, scutum and scutellum; 78, basal part of wing; 79, hypopygium in dorsal view. Figs. 76–77—200 µm; Fig. 79—50 µm.

opennotspecifiedDec 2015View details →
zenodo28/100

Tests of General Relativity with Binary Black Holes from the second LIGO–Virgo Gravitational-Wave Transient Catalog - Full Posterior Sample Data Release

<p>Data release containing full posterior samples of the following analyses reported in the paper &quot;Tests of General Relativity with Binary Black Holes from the second LIGO&ndash;Virgo Gravitational-Wave Transient Catalog&quot; from the LIGO Scientific Collaboration and Virgo Collaboration&nbsp;(<a href="https://doi.org/10.1103/PhysRevD.103.122002">Phys. Rev. D&nbsp;103, 122002</a>, also&nbsp;available at <a href="https://arxiv.org/abs/2010.14529">arxiv.org:2010.14529</a>&nbsp;and&nbsp;<a href="https://dcc.ligo.org/LIGO-P2000091/public">https://dcc.ligo.org/LIGO-P2000091/public</a>):</p> <ul> <li>Echoes (Sec VII B): ech.zip</li> <li>Inspiral-merger-ringdown consistency test (Sec IV B): imr.zip</li> <li>Lorentz invariance violation test (Sec V I): liv.zip</li> <li>Parametrized tests of general relativity&nbsp;(Sec V A): par.zip</li> <li>Ringdown test (Sec VII A): rin.zip</li> <li>Spin-induced quadrupole moment test (Sec V B): sim.zip</li> </ul> <p>Each zip file contains HDF5 files that can either be read directly with standard HDF5 tools, or using PESummary (<a href="https://docs.ligo.org/lscsoft/pesummary/">https://docs.ligo.org/lscsoft/pesummary/</a>)</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo28/100

A synopsis of the tenor parts in Loyset Compère's motet cycle "Ave virgo gloriosa" ("Galeazescha")

<p>A visual synopsis of the tenor parts in Loyset Comp&egrave;re&#39;s motet cycle &quot;Ave virgo gloriosa&quot; (&quot;Galeazescha&quot;).</p> <p>Originally published as an appendix to the digital critical edition Loyset Comp&egrave;re, <em>Ave virgo gloriosa</em> (<em>Galeazescha</em>), ed. Daniele V. Filippi, Motet Cycles Edition, 3, Gaffurius Codices Online, Schola Cantorum Basiliensis, 2021, <a href="https://doi.org/10.48523/jrfm-6357">https://doi.org/10.48523/jrfm-6357</a>.</p>

opencc-by-4.0Aug 2023View details →
ClinicalTrials.gov24/100

An Observational Study of Treatment Patterns and Safety Outcomes for Metastatic or Locally Recurrent Breast Cancer (VIRGO)

ClinicalTrials.gov study NCT00726661. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Assessing the Validity and Reliability of IMU Systems and a Goniometer in Cervical Motion (VIRGO-CM)

ClinicalTrials.gov study NCT07117292. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
zenodo20/100

Subspecies and Distribution. D. a. albus Wied-Neuwied, 1820 - the Guianas, most of Brazil, and E Peru. D. a. virgo Thomas, 1903 — from SW & S Mexico S through Central America to Colombia, Venezuela, Trinidad I, and W Ecuador. in Emballonuridae

Subspecies and Distribution. D. a. albus Wied-Neuwied, 1820 - the Guianas, most of Brazil, and E Peru. D. a. virgo Thomas, 1903 — from SW &amp; S Mexico S through Central America to Colombia, Venezuela, Trinidad I, and W Ecuador.

opennotspecifiedOct 2019View details →
zenodo20/100

On following pages: 52. Eastern Horseshoe Bat (Rhinolophus megaphyllus}; 53. Insular Horseshoe Bat (Rhinolophus keyensis}; 54. Yellow-faced Horseshoe Bat (Rhinolophus virgo}; 55. Madura Horseshoe Bat (Rhinolophus madurensis}; 56. Sulawesi Horseshoe Bat (Rhinolophus celebensis}; 57. Robinson's Horseshoe Bat (Rhinolophus robinsoni); 58. Indochinese Horseshoe Bat (Rhinolophus chasem); 59. Anamban Horseshoe Bat (Rhinolophus nereis}; 60. Bornean Horseshoe Bat (Rhinolophus borneensis); 61. Malayan Horseshoe Bat (Rhinolophus malayanus}; 62. Acuminate Horseshoe Bat (Rhinolophus acuminatus}; 63. Acuminate Horseshoe Bat (Rhinolophus acuminatus}; 64. Little Japanese Horseshoe Bat (Rhinolophus cornutus}; 65. Yaeyama Horseshoe Bat (Rhinolophus perditus}; 66. Mountain Horseshoe Bat (Rhinolophus monticolus}; 67. Shortridge's Horseshoe Bat (Rhinolophus shortridgei}; 68. Formosan Horseshoe Bat (Rhinolophus monoceros}; 69. Least Horseshoe Bat (Rhinolophus pusillus}; 70. Little Nepalese Horseshoe Bat (Rhinolophus subbadius}; 71. Convex Horseshoe Bat (Rhinolophus convexus}; 72. Andaman Horseshoe Bat (Rhinolophus cognatus}; 73. Glossy Horseshoe Bat (Rhinolophus refulgens}; 74. Blyth's Horseshoe Bat (Rhinolophus lepidus}; in Family Rhinolophidae (Horseshoe Bats)

On following pages: 52. Eastern Horseshoe Bat (Rhinolophus megaphyllus}; 53. Insular Horseshoe Bat (Rhinolophus keyensis}; 54. Yellow-faced Horseshoe Bat (Rhinolophus virgo}; 55. Madura Horseshoe Bat (Rhinolophus madurensis}; 56. Sulawesi Horseshoe Bat (Rhinolophus celebensis}; 57. Robinson's Horseshoe Bat (Rhinolophus robinsoni); 58. Indochinese Horseshoe Bat (Rhinolophus chasem); 59. Anamban Horseshoe Bat (Rhinolophus nereis}; 60. Bornean Horseshoe Bat (Rhinolophus borneensis); 61. Malayan Horseshoe Bat (Rhinolophus malayanus}; 62. Acuminate Horseshoe Bat (Rhinolophus acuminatus}; 63. Acuminate Horseshoe Bat (Rhinolophus acuminatus}; 64. Little Japanese Horseshoe Bat (Rhinolophus cornutus}; 65. Yaeyama Horseshoe Bat (Rhinolophus perditus}; 66. Mountain Horseshoe Bat (Rhinolophus monticolus}; 67. Shortridge's Horseshoe Bat (Rhinolophus shortridgei}; 68. Formosan Horseshoe Bat (Rhinolophus monoceros}; 69. Least Horseshoe Bat (Rhinolophus pusillus}; 70. Little Nepalese Horseshoe Bat (Rhinolophus subbadius}; 71. Convex Horseshoe Bat (Rhinolophus convexus}; 72. Andaman Horseshoe Bat (Rhinolophus cognatus}; 73. Glossy Horseshoe Bat (Rhinolophus refulgens}; 74. Blyth's Horseshoe Bat (Rhinolophus lepidus};

opennotspecifiedOct 2019View details →
zenodo20/100

On following pages: 52. Eastern Horseshoe Bat (Rhinolophus megaphyllus}; 53. Insular Horseshoe Bat (Rhinolophus keyensis}; 54. Yellow-faced Horseshoe Bat (Rhinolophus virgo}; 55. Madura Horseshoe Bat (Rhinolophus madurensis}; 56. Sulawesi Horseshoe Bat (Rhinolophus celebensis}; 57. Robinson's Horseshoe Bat (Rhinolophus robinsoni); 58. Indochinese Horseshoe Bat (Rhinolophus chasem); 59. Anamban Horseshoe Bat (Rhinolophus nereis}; 60. Bornean Horseshoe Bat (Rhinolophus borneensis); 61. Malayan Horseshoe Bat (Rhinolophus malayanus}; 62. Acuminate Horseshoe Bat (Rhinolophus acuminatus}; 63. Acuminate Horseshoe Bat (Rhinolophus acuminatus}; 64. Little Japanese Horseshoe Bat (Rhinolophus cornutus}; 65. Yaeyama Horseshoe Bat (Rhinolophus perditus}; 66. Mountain Horseshoe Bat (Rhinolophus monticolus}; 67. Shortridge's Horseshoe Bat (Rhinolophus shortridgei}; 68. Formosan Horseshoe Bat (Rhinolophus monoceros}; 69. Least Horseshoe Bat (Rhinolophus pusillus}; 70. Little Nepalese Horseshoe Bat (Rhinolophus subbadius}; 71. Convex Horseshoe Bat (Rhinolophus convexus}; 72. Andaman Horseshoe Bat (Rhinolophus cognatus}; 73. Glossy Horseshoe Bat (Rhinolophus refulgens}; 74. Blyth's Horseshoe Bat (Rhinolophus lepidus}; in Rhinolophidae

On following pages: 52. Eastern Horseshoe Bat (Rhinolophus megaphyllus}; 53. Insular Horseshoe Bat (Rhinolophus keyensis}; 54. Yellow-faced Horseshoe Bat (Rhinolophus virgo}; 55. Madura Horseshoe Bat (Rhinolophus madurensis}; 56. Sulawesi Horseshoe Bat (Rhinolophus celebensis}; 57. Robinson's Horseshoe Bat (Rhinolophus robinsoni); 58. Indochinese Horseshoe Bat (Rhinolophus chasem); 59. Anamban Horseshoe Bat (Rhinolophus nereis}; 60. Bornean Horseshoe Bat (Rhinolophus borneensis); 61. Malayan Horseshoe Bat (Rhinolophus malayanus}; 62. Acuminate Horseshoe Bat (Rhinolophus acuminatus}; 63. Acuminate Horseshoe Bat (Rhinolophus acuminatus}; 64. Little Japanese Horseshoe Bat (Rhinolophus cornutus}; 65. Yaeyama Horseshoe Bat (Rhinolophus perditus}; 66. Mountain Horseshoe Bat (Rhinolophus monticolus}; 67. Shortridge's Horseshoe Bat (Rhinolophus shortridgei}; 68. Formosan Horseshoe Bat (Rhinolophus monoceros}; 69. Least Horseshoe Bat (Rhinolophus pusillus}; 70. Little Nepalese Horseshoe Bat (Rhinolophus subbadius}; 71. Convex Horseshoe Bat (Rhinolophus convexus}; 72. Andaman Horseshoe Bat (Rhinolophus cognatus}; 73. Glossy Horseshoe Bat (Rhinolophus refulgens}; 74. Blyth's Horseshoe Bat (Rhinolophus lepidus};

opennotspecifiedOct 2019View details →

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Allen Brain Atlas

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Last verified 2026-04-30Open record

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record