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Fig. 19. Zanclea mayeri n in Hydromedusae observed during night dives in the Gulf Stream

Fig. 19. Zanclea mayeri n. spec. (A) BFLA4281, female with oocytes in gonad, height 7 mm. (B) BFLA4281, view from aboral side. (C) BFLA4297, height 6 mm. (D) BFLA4219, part of extended tentacles. (E) BFLA4219, note the capitate polyps growing in the upper part of the manubrium wall, height 5 (F-G) BFLA4219, alcohol preserved nematocysts; scale bar 20 µm. (F) Discharged macrobasic eurytele. (G) Intact macrobasic eurytele, stacked photo. (H) Stenotele.

opencc-by-4.0Oct 2021View details →
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Fig. 15 in Hydromedusae observed during night dives in the Gulf Stream

Fig. 15. Proboscidactyla gemmifera. Note that the usage of a flash brightens very much the exumbrellar nematocysts. (A) BFLA4338, diameter 3 mm. (B) Medusa photographed 24-JAN-2020, not collected, diameter 3 mm. (C) BFLA4285, lateral view, diameter 3 mm, arrows point to blastostyles (D) BFLA4285, oral view. (E) BFLA4321, aboral view. (F) BFLA4321, lateral view of bell margin, diameter 2.5 mm, note regular arrangement of exumbrellar nematocysts patches.

opencc-by-4.0Oct 2021View details →
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Fig. 22 in Hydromedusae observed during night dives in the Gulf Stream

Fig. 22. Zancleopsis dichotoma, small form. (A-C) BFLA4171, bell height 3 mm, stomach filled with prey items, note well developed short tentacles. (D) BFLA4170, bell height 3 mm, gonads just begin to develop. (E-F) BFLA4248, bell height 2 mm, immature, note that one of the short tentacles (upper one) is only just developing, while the opposite bulb appears to be devoid of a tentacle.

opencc-by-4.0Oct 2021View details →
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Fig. 17 in Hydromedusae observed during night dives in the Gulf Stream

Fig. 17. Euphysilla pyramidata. (A-B) BFLA4396, bell height 2.5 mm. (C-D) BFLA4468, bell height 3 mm. D in aboral view, note cruciform manubrium base. (E) BFLA4397, oral view, bell height 2 mm. (F-I) Nematocysts of alcohol preserved tissue, scale equals 20 µm, valid for F to I. (F) Undischarged microbasic eurytele. (G) Discharged microbasic eurytele, stacked photo. (H) Intact and discharged large stenotele. (I) Desmonemes.

opencc-by-4.0Oct 2021View details →
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Fig. 30 in Hydromedusae observed during night dives in the Gulf Stream

Fig. 30. Hydroid Hebella venusta, MHNG-INVE-0035476, from Honduras, stained slide preparation, voucher specimen of 16S sequence FJ550496. (A) Gonotheca with medusa buds, ocelli are faintly visible. (B) Hydrotheca with hydranth, rim with four shallow cusps. (C-D) Hydrothecae with smooth rim. (E) Unidentified structure resembling a nematotheca, but it could also be a rest of a broken caulus.

opencc-by-4.0Oct 2021View details →
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Multi-Mission Phase Space Density Observations - 6 - 10 September 2017

<p>FILE DESCRIPTION:<br> Archived data for the manuscript&nbsp;&ldquo;Resolving Magnetopause Shadowing Using Multi-Mission Measurements of Phase Space Density&rdquo;&nbsp; Staples et al., submitted to the Journal of Geophysical Research: Space Physics (manuscript archived via&nbsp;Earth and Space Science Open Archive ESSOAr<strong>;</strong> Washington, Mar 11, 2021.&nbsp;DOI:10.1002/essoar.10506455.1).</p> <p><br> These files contain&nbsp;multi-mission phase space density measurements including,&nbsp;Van Allen Probes, GOES 13, 14, 15, GPS, MMS, and THEMIS, computed in adiabatic coordinates. All data is between&nbsp;6 - 10&nbsp;September 2017. For detailed description of the method used in the computation of this data, see section 2.1 of&nbsp;the submitted manuscript.<br> <br> The THEMIS, Van Allen Probe, MMS, and GOES data used in computations is publicly available via http://cdaweb.gsfc.nasa.gov&nbsp;<br> The GPS data is available via https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/</p> <p>FILES:</p> <p>&#39;allsc_psd_mu400.txt&#39; - electron PSD from all spacecraft listed above, where&nbsp;&micro; = 390 to&nbsp;410 MeV/G and <em>K</em> =&nbsp;0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p>&#39;allsc_psd_mu900.txt&#39; - electron PSD from all spacecraft listed above, where&nbsp;&micro; = 877.5&nbsp;to 922.5&nbsp;MeV/G and <em>K</em> =&nbsp;0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p>&#39;rbsp_psd_mu400.txt&#39; - electron PSD from the Van Allen probes, where&nbsp;&micro; = 350&nbsp;to 450 MeV/G and <em>K</em> =&nbsp;0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p>&#39;rbsp_psd_mu400.txt&#39; - electron PSD from the Van Allen probes, where&nbsp;&micro; = 850&nbsp;to 950 MeV/G and <em>K</em> =&nbsp;0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p><br> DATA OWNER: Adam Kellerman<br> DATA PREPERATION: Frances Staples</p> <p><br> CONTACT:<br> Adam Kellerman: akellerman@epss.ucla.edu<br> Frances Staples: frances.staples@ucl.ac.uk<br> &nbsp;</p>

opencc-by-4.0Nov 2021View details →
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Fig. 16. 16S in Hydromedusae observed during night dives in the Gulf Stream

Fig. 16. 16S maximum likelihood phylogenetic tree of Proboscidactylidae and related taxa obtained with PhyML (GTR+G model) and based on about 600 bp positions of the mitochondrial 16S gene. Node-support values are bootstrap values of 100 pseudoreplicates (shown only if&gt; 70%). All sequence labels start with the GenBank numbers permitting the retrieval of more information. Red labels are new sequences from this study. All samples are based on medusae.

opencc-by-4.0Oct 2021View details →
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Fig. 48 in Hydromedusae observed during night dives in the Gulf Stream

Fig. 48. Maximum likelihood phylogenetic tree of Narcomedusae obtained with PhyML (GTR+G+I model) and based on about 600 bp positions of the mitochondrial 16S gene. Node-support values are bootstrap values of 100 pseudoreplicates (shown only if&gt; 70%). Sequence labels start with the GenBank numbers (except for identical haplotypes) permitting the retrieval of more information. Some proveniences were obtained from Lindsay et al. (2017) or through personal communications. Red ODEHOV DUH QHZ VHTXHQFHV IURP WKLV VWXG\. &amp;RORXUHG ER[HV LQGLFDWH IDPLO\ DI¿OLDWLRQV DFFRUGLQJ WR WKH FXUUHQWO\ XVHG V\VWHP. (") 'HQRWHV SRVVLEOH PLVLGHQWL¿FDWLRQV.

opencc-by-4.0Oct 2021View details →
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GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run — Candidate data release

<p>This material is part of several data products associated with GWTC-3, the third Gravitational-Wave Transient Catalog from the <a href="https://www.ligo.org/">LIGO</a> Scientific Collaboration, the <a href="https://www.virgo-gw.eu/">Virgo</a> Collaboration, and the <a href="https://gwcenter.icrr.u-tokyo.ac.jp/en/">KAGRA</a> Collaboration. For more information, see the paper (<a href="https://dcc.ligo.org/LIGO-P2000318/public">dcc.ligo.org/LIGO-P2000318/public</a>), the related material linked from this page, and the GWTC-3 data release documentation (<a href="https://www.gw-openscience.org/GWTC-3/">www.gw-openscience.org/GWTC-3/</a>).</p> <p><strong>Candidate data release</strong></p> <p>Data associated with candidates in GWTC-3. These are gravitational-wave candidates from the&nbsp;the third observing run (O3) of the Advanced LIGO and Advanced Virgo detectors that pass a false alarm rate threshold of 2/day. We upload a tar file (search_data.tar.gz) containing all the data and a python notebook (GWTC3_search_data.ipynb) that provides a description on how to use the files contained in the dataset.</p> <p>Associated with each candidate are the search analysis results and a localization (assuming that the source is astrophysical). Four search analysis pipelines have been used: the templated-based <a href="https://lscsoft.docs.ligo.org/gstlal/">GstLAL</a>, <a href="https://doi.org/10.1088/1361-6382/abe913">MBTA</a> and <a href="https://pycbc.org/">PyCBC</a>, plus the template-free <a href="https://gwburst.gitlab.io/">cWB</a>. Localizations from the template-based pipelines are calculated using <a href="https://lscsoft.docs.ligo.org/ligo.skymap/bayestar/index.html">Bayestar</a>, while cWB candidates are calculated by cWB itself.</p> <p>This release is primarily composed of results from the second part of O3 (O3b), but also includes a subset of results&nbsp;from the first part (O3a). A similar release was made for the previous <a href="https://doi.org/10.5281/zenodo.5117761">GWTC-2.1</a>&nbsp;that&nbsp;contained candidates from the first part of O3 (O3a)&nbsp;from GstLAL, MBTA and PyCBC. We include updated probabilities of astrophysical origin for these candidates: each search analysis has a o3a_pastro directory that contains these results. Since GWTC-2.1 did not include cWB results, this release includes cWB O3a candidates in addition to O3b:&nbsp;the cWB directory contains a subdirectory called o3a_events that contains the O3a results.</p> <p>The probability of astrophysical origin is calculated assuming a compact binary coalescence source, which may not always be appropriate for&nbsp;the template-free cWB analysis.</p> <p>&nbsp;&nbsp;</p> <p>For more general background on gravitational-wave search analysis and sky maps, try the materials from a <a href="https://www.gw-openscience.org/workshops/">GW Open Data Workshop</a> or the <a href="https://doi.org/10.1088/1361-6382/ab685e">guide to LIGO&ndash;Virgo data analysis</a>.</p>

opencc-by-4.0Nov 2021View details →
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GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run — Glitch modelling for events

<p>This material is part of several data products associated with GWTC-3, the third Gravitational-Wave Transient Catalog from the <a href="https://www.ligo.org/">LIGO</a> Scientific Collaboration, the <a href="https://www.virgo-gw.eu/">Virgo</a> Collaboration, and the <a href="https://gwcenter.icrr.u-tokyo.ac.jp/en/">KAGRA</a> Collaboration. For more information, see the paper (<a href="https://dcc.ligo.org/LIGO-P2000318/public">dcc.ligo.org/LIGO-P2000318/public</a>), the related material linked from this page, and the GWTC-3 data release documentation (<a href="https://www.gw-openscience.org/GWTC-3/">www.gw-openscience.org/GWTC-3/</a>).</p> <p><strong>Glitch model for GWTC-3 events</strong></p> <p>Glitch model for events in the GWTC-3 catalog that used either <a href="https://git.ligo.org/lscsoft/bayeswave">BayesWave</a> glitch subtraction or linear noise subtraction.</p> <p>Each data file for events processed with BayesWave contain three channels:</p> <ol> <li>The calibrated strain data, including any glitches that are present,</li> <li>A model of the glitches, produced using the BayesWave algorithm,</li> <li>The calibrated data with the glitch model subtracted, used for parameter estimation.</li> </ol> <p>Each data file for events processed with linear noise subtraction contain one channel:</p> <ol> <li>The calibrated data with the glitch linearly subtracted, used for parameter estimation.</li> </ol> <p>LIGO Hanford&nbsp;data for events GW191109_010717, GW191113_071753, GW191127_050227, and GW191219_163120 was generated with BayesWave. The names and sample rates (in Hz) of the channels in these files are</p> <ol> <li>H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01 16384</li> <li>H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01_glitch 16384</li> <li>H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01_T1700406_v4 16384</li> </ol> <p>LIGO Livingston data for events GW191109_010717, GW191219_16312, GW200105_162426, and GW200115_042309 was generated with BayesWave. The names and sample rates (in Hz) of the channels in these files are</p> <ol> <li>L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01 16384</li> <li>L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01_glitch 16384</li> <li>L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01_T1700406_v4 16384</li> </ol> <p>Virgo data for event GW191105_143521 was generated with BayesWave. The names and sample rates&nbsp;(in Hz) of the channels in this file are</p> <ol> <li>V1:Hrec_hoft_16384Hz 16384</li> <li>V1:Hrec_hoft_16384Hz_glitch 16384</li> <li>V1:Hrec_hoft_16384Hz_T1700406_v4 16384</li> </ol> <p>LIGO Livingston data for event GW200129_065458 was generated with linear noise subtraction. The name&nbsp;and sample rate&nbsp;(in Hz)&nbsp;of the channel in this file is</p> <ol> <li>L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01_P1800169_v4 16384</li> </ol> <p><strong>How to download all files from this page</strong></p> <p>If you would like to download all files on this page, we recommend <a href="https://gitlab.com/dvolgyes/zenodo_get">zenodo_get</a>:</p> <pre><code class="language-bash">pip install zenodo_get zenodo-get RECORD_ID_OR_DOI </code></pre> <p>where the record ID for the most recent version of this page is&nbsp;5546679 and IDs for other versions can be found in the Versions section at the side of this page.</p> <p>&nbsp;</p> <p>For more general background on gravitational-wave data quality, try the materials from a <a href="https://www.gw-openscience.org/workshops/">GW Open Data Workshop</a> or the <a href="https://doi.org/10.1088/1361-6382/ab685e">guide to LIGO&ndash;Virgo data analysis</a>.</p>

opencc-by-4.0Nov 2021View details →
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Utilizing cosmic-ray positron and electron observations to probe the averaged properties of Milky Way pulsars

<p>We include here the Milky Way pulsars simulations that were created and used in &quot;Utilizing cosmic-ray positron and electron observations to probe the averaged properties of Milky Way pulsars&quot; of Cholis &amp; Krommydas 2021. We include both the simulations before fitting to the cosmic-ray observations and the simulations whose electron and positron fluxes have been fitted to the AMS, CALET and DAMPE observations. See paper for further details.</p>

opencc-by-4.0Nov 2021View details →
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Sea Level observations from Passage West, Cork, Ireland in 1842

<p>Data are described in Pugh, D. T., Bridge, E., Edwards, R., Hogarth, P., Westbrook, G., Woodworth, P. L., &amp; McCarthy, G. D. (2021). Mean Sea Level and Tidal Change in Ireland since 1842: A case study of Cork. Ocean Science Discussions, 1-26.&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;</p> <p>Location: &nbsp;&nbsp; &nbsp;Passage West, Co. Cork, Ireland&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> Latitude: &nbsp;&nbsp; &nbsp;51.871&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> Longitude:&nbsp;&nbsp; &nbsp;-8.334&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> Height is given in ft ODD and m ODM&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> ODM is Ordnance Datum Malin and is current national datum used in Ireland. ODD is Ordnance Datum Dublin and is a historical datum. See paper for details on tranfer between datums&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> Time is stored as hh:mm:ss&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> Missing Values = -9999&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> Data were gather from tide pole readings. Missing data indicate times when observations were not taken.&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;</p>

opencc-by-4.0Nov 2021View details →
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Fig. 37. 16S in Hydromedusae observed during night dives in the Gulf Stream

Fig. 37. 16S maximum likelihood phylogenetic tree of the genus Aequorea and related genera obtained with PhyML (GTR+G+I model) using about 600 bp positions of the mitochondrial 16S gene. Node-support values are bootstrap values of 100 pseudoreplicates (shown only if&gt; 70%). Sequence labels start with the GenBank numbers (except for identical haplotypes) permitting the retrieval of more information. Red labels are new sequences from this study, for the taxa in bold either a voucher specimen or photos of it have been examined. Notes: *1) Unpublished, L. Leclère, pers. comm. *2) See Material &amp; Methods. *3) Could be a misidentification. *4) Unpublished, A. Hosia &amp; L. Martell, pers. comm., see Fig. 39A.

opencc-by-4.0Oct 2021View details →
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Fig. 8. 16S in Hydromedusae observed during night dives in the Gulf Stream

Fig. 8. 16S rRNA maximum likelihood phylogenetic tree of Pandeidae species obtained with PhyML (GTR+G+I model) and based on about 600 bp positions of the mitochondrial 16S gene. Node-support values are bootstrap values of 100 pseudoreplicates (shown only if&gt; 70%). Red labels are new sequences from this study. All sequence labels start with the GenBank numbers permitting the retrieval of more information. For more details see text and Schuchert (2018). Samples based on the polyp stage are indicated, all others are medusa samples.

opencc-by-4.0Oct 2021View details →
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Fig. 1 in Adieu Adelosa Blume (Lamiaceae): Further observations on Rotheca Raf. for Madagascar

Fig. 1. – Distribution of Rotheca microphylla (Blume) Callm. &amp; Phillipson (triangles) and Rotheca mirabilis (Baker) Callm. &amp; Phillipson (stars) in Madagascar mapped on the biogeographic zones of CORNET (1974).

opencc-by-4.0Nov 2013View details →
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Figs 3–6. 3 in Observations On The Ovipositing Strategy Of Gortyna Borelii Pierret, 1837 (Lepidoptera, Noctuidae) In A British Population

Figs 3–6. 3 = Gortyna borelii ova beneath the outer leaf sheath of a grass stem (Photo credit: MICKY ANDREWS). 4–6 = Scanning electron microscopy of G. borelii ovum (Photo credit: ZOE RING- WOOD): 4 = 700 µm diameter, 350 µm height; 5 = ribbed surface structure on the side of the ovum (ribs 10 µm in width, aeropyles 2–3 µm in diameter); 6 = micropylar area of the ovum (micropyle 6

opencc-by-4.0Aug 2002View details →
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Fig. 3 in Observations On Species Abundance Distribution In Fly Collections

Fig. 3. Frequency polygons of 2-moving averaged frequencies. X and Y refer to the artificial collection containing the first 46 319 individuals and the last 46 524 individuals in the combined collection

opencc-by-4.0May 2012View details →
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Fig. 4 in Observations On Species Abundance Distribution In Fly Collections

Fig. 4. Further frequency polygons of 2-moving averaged frequencies. A, B and C refer to artificial collections mentioned in the text. Details see at Fig. 1.

opencc-by-4.0May 2012View details →
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Fig. 2 in Observations On Species Abundance Distribution In Fly Collections

Fig. 2. Frequency polygons of 2-moving averaged frequencies relating to combined collections. The 2003–2004 polygon is shifted in the figure by two abundance classes to the right. Details see at Fig. 1.

opencc-by-4.0May 2012View details →
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Training and test data for retrievals based on HATPRO observations during MOSAiC

<p>The dataset consists of one netCDF file that contains the entire training and test data for the retrieval of temperature (ta) and humidity (hua) profiles, integrated water vapour (prw), and liquid water path (clwvi) from brightness temperatures (tb) measured by a HATPRO (humidity and temperature profiler). A regression with quadratic terms, except for the boundary layer scan which is confined&nbsp;to linear terms, is performed to derive these meteorological variables. The trained retrieval is applied on the HATPRO observations gathered onboard the research vessel Polarstern during the&nbsp;Multidisciplinary&nbsp;drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition.&nbsp;For the data to be&nbsp;specialized on Arctic conditions they are based on Ny-&Aring;lesund radiosonde observations. An IDL-based radiative transfer model has been used to simulate brightness temperatures for each radiosonde. Several elevation angles (ele) are given in the file&nbsp;because the HATPRO radiometer performs elevation scans in between zenith scans to increase the resolution of temperature profiles in the atmospheric boundary layer.</p>

opencc-by-4.0Nov 2021View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

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

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