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FIG. 4. — A in From fin rays to DNA: supplementary morphological and molecular data to identify Mormyrus subundulatus Roberts, 1989 (Pisces: Mormyridae) from the Bandama River in Côte d'Ivoire
FIG. 4. — A, Distribution of Mormyrus subundulatus Roberts, 1989 according to available data; B, the Bandama River in the type locality is impacted by the Taabo dam just upstream; C, preserved stream habitat downstream the type locality where M. subundulatus still lives. This part of the River will be lost after the impoundment of another big dam, planned for the next few years; D, aerial view (GoogleEarth) of the Tano River in the type locality (red dot); E, upstream, showing the important buildup of soil and mud due to mining activities. The Tano River does not seem to host suitable habitat for M. subundulatus anymore, at least around the historical locality.
FIG. 3 in From fin rays to DNA: supplementary morphological and molecular data to identify Mormyrus subundulatus Roberts, 1989 (Pisces: Mormyridae) from the Bandama River in Côte d'Ivoire
FIG. 3. — Distribution of the dorsal fin rays counts for the specimens of M. subundulatus Roberts, 1989 examined by us (blue bars) and for the specimens of M. rume Valenciennes, 1847 (data from Lévêque and Bigorne, 1985; orange bars). Yellow bars: specimens presumably from the Sassandra River population. (1) position of paratype CAS-SU63507 from the Tano River in Ghana (red bar); (2) position of specimen MNHN-IC-2018-0558, for which genetic data confirms the identification as M. subundulatus.
FIG. 2 in From fin rays to DNA: supplementary morphological and molecular data to identify Mormyrus subundulatus Roberts, 1989 (Pisces: Mormyridae) from the Bandama River in Côte d'Ivoire
FIG. 2. — Bayesian phylogenetic analyses base on Cyt b gene fragment (A) and COI gene fragment (B). Numbers on branch node indicate posterior probability values, only node with posterior probability above 85 are represented. Nodes with probability> 98 are identified with *. Numbers on specimens indicate the GenBank accession number of the sequence or, when many specimens shared the same haplotype, the haplotype names in Table 1.
Supplementary material for the paper EXTREME ULTRAVIOLET AND X-RAY DRIVEN PHOTOCHEMISTRY OF GASEOUS EXOPLANETS - Chemical network details
<p>Supplementary material for the paper</p> <p>EXTREME ULTRAVIOLET AND X-RAY DRIVEN PHOTOCHEMISTRY OF GASEOUS EXOPLANETS</p> <p>by Locci et al. 2021, submitted to PSJ (R1 version)</p> <p>This document contains the complete list of the chemical reactions included in the model: bimolecular reactions (neutral-neutral and ion-neutral) in Table 1, termolecular reactions in Table 2, thermodissociative reactions in Table 3, reverse reactions in Table 4, and finally photochemical reactions in Table 5.</p>
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 "Utilizing cosmic-ray positron and electron observations to probe the averaged properties of Milky Way pulsars" of Cholis & 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>
Fig. 4 in Distribution and reproductive biology of the Electric ray Discopyge tschudii Heckel, 1846 in San Matías Gulf, Northern Patagonia, Argentina
Fig. 4. Size frequency distribution of Discopyge tschudii sampled during 2004-2007. Males (dotted line) n= 564 and females (continuous line) n= 523.
Fig. 9 in Distribution and reproductive biology of the Electric ray Discopyge tschudii Heckel, 1846 in San Matías Gulf, Northern Patagonia, Argentina
Fig. 9. Relationship between total length of the female (TL) and number of embryos (N e) for Discopyge tschudii. N e (dotted line)= 0.221 X exp(0.589 X TL); R²= 0.57; n= 27.
Fig. 10 in Distribution and reproductive biology of the Electric ray Discopyge tschudii Heckel, 1846 in San Matías Gulf, Northern Patagonia, Argentina
Fig. 10. Relationship between total length (TLe) and weight (We) for embryos of Discopyge tschudii. W e(dotted line)= 7 x 10-0.5 X TL 2.63; R2= 0.80; n= 178.
Fig. 1 in Distribution and reproductive biology of the Electric ray Discopyge tschudii Heckel, 1846 in San Matías Gulf, Northern Patagonia, Argentina
Fig. 1. Study area and design of bottom trawl surveys. Strata I, II, and III: 90-130 m; stratum IV:>130 m; stratum V: 50-89 m and stratum VI: 20-49 m.
Fig.2 in Distribution and reproductive biology of the Electric ray Discopyge tschudii Heckel, 1846 in San Matías Gulf, Northern Patagonia, Argentina
Fig.2. Proportion of individuals recorded in each stratum during bottom trawl surveys. Surveys carried out in the 1980´s: REDE 1986 and Gallo 1986; surveys carried out in the 1990´s: REDE 1995 and 1996; surveys carried out in the 2000´s: REDEs 2004 to 2007.
Optical polarimetric observations of low-mass X-ray black hole binary MAXI J1820+070 during 2019-2021
<p>The dataset contains raw polarimetric FITS images of the low-mass X-ray black hole binary <a href="https://www.astronomerstelegram.org/?read=11399">MAXI J1820+070</a> (and surrounding field), obtained by the <a href="https://doi.org/10.3847/1538-3881/abc74f">DIPol-UF </a>optical CCD polarimeter in three (BVR) filters while mounted on the 2.56m <a href="https://www.not.iac.es">Nordic Optical Telescope</a>. The data were collected over 5 observing runs throughout 2019--2021. During each observing night, a set of calibration images were also obtained. These typically include 7 dark and 7 bias images per filter per night (sometimes more if weather conditions or instrument settings changed during observations). Bias and dark FITS files have `_bias` or `_dark` labels in their names, as well as FITS key `IMAGETYP` set to either `Bias Frame` or `Dark Frame`, respectively.</p>
X-ray crystallographic data of second extracellular domain of human tetraspanin CD9
<p>These X-ray diffraction data are of a crystal of the second extracellular domain of human tetraspanin CD9. The data show remarkable features that stem from twinning and concurrent diffuse scattering in streaked directions perpendicular to the twinning interface. The structure is described in [Oosterheert et al. (2020). Life Sci. Alliance, 3, e202000883] and is deposited in the PDB under accession code 6rlr.</p> <p>The raw data are described in details in IUCrData as a Raw Data Letter [Neviani et al., IUCrData (2022].</p> <p>The .h5 files are as they were originally recorded at Diamond Light Source at beamline I04. The images were converted to separate CBF files by a local script at DLS and compressed in the tar.bz2 file.</p>
Search for merger ejecta emission in Short Gamma Ray Bursts from very late time radio observations
<p>Coalescence of inspiral binary neutron stars (BNS) system, giving rise to short Gamma Ray Bursts (GRBs), are one of the most probable candidates for Gravitational Waves (GWs). If the resultant product of the merger is a millisecond magnetar, a significant proportion of the rotational energy deposited to emerging ejecta that produce late time radio brightening from the interaction with the surrounding ambient medium. Detection of this late-time radio emission from short GRBs can have profound implications for understanding the physics of the progenitor. This study presents the deepest and an extensive search for radio emission at late times following a short GRB to date incorporating proper frequency regime, wider observation span and relativistic correction. Five short GRBs were observed with the Giant Meter Wave Radio Telescope (GMRT) at 1250, 610, and 325 MHz band $\sim$ 2 - 11 years since the burst to search for radio emission from the merger ejecta. The estimated upper limits at the burst location are used to constrain the parameters of the burst and its surrounding environment. The magnetar model, with appropriate modifications, constrains the number density of the ambient medium for these bursts to be between $10^{-4}$ - $10^{-2}$ $cm^{-3}$. Our analysis rules out a stable magnetar with an energy of $10^{53}$ erg for four out of the five GRBs in our sample.</p>
Novel polarimetric technique to constrain the magnetic field structure and strength of Gamma-ray burst jets
<p>Gamma-ray bursts (GRBs) are extremely energetic events of cosmological origin. Observed GRBs have high luminosity and rapid variability that requires ultra-relativistic motion in the production mechanism which drive the synchrotron radiation associated with the relativistic jets and their shocked interactions with the local ambient medium. They are broadly divided into two types based on the gamma-ray duration; long GRBs (>2 seconds), and short GRBs (<2 seconds). Long GRBs are thought to be originated from explosions of very massive stars and short GRBs are thought to be produced by the merger of compact binaries. Several key open questions about our understanding of GRB physics remain: What is the driving mechanism of GRB jets? What is the origin and role of magnetic fields in driving the explosion? Since these events happen at cosmological distances, they can not be resolved using traditional astronomical techniques. However, polarimetric observations of GRBs have allowed us to start the exploration of the structure and magnetic field configurations of their relativistic jets. Generally, polarization is measured via the ratio of fluxes by taking consecutive exposures, however for rapidly varying objects such as GRBs, it is not an effective way to observe polarization. Liverpool Telescope (LT) has utilized rapidly rotating polaroids to overcome this problem and created a series of polarimeters that have successfully detected early-time optical polarimetry of various GRBs. I will present photometric and polarimetric results of various GRBs observed by RINGO3. 10 GRBs were bright enough to perform analysis and we were able to perform polarimetric analysis for 7 GRBs. I will discuss how polarimetric detection for a long GRB 191016A along with photometric data constraint the energy injection mechanism for the central engine. In addition, I will present how polarization depends on various properties of GRBs such as photometric decay index, isotropic energy of GRBs, redshift etc.</p>
Trajectory with Overlapping Projections x-ray Computed Tomography (TOP-CT) dataset of 23 mandarins moving over a circular trajectory
<p><strong>Summary</strong></p><p>This dataset is a collection of X-ray projection images of 23 mandarins moving over a circular trajectory in such a way that the projections of multiple adjacent mandarins overlap. The dataset was acquired to test out Trajectory with Overlapping Projections x-ray Computed Tomography (TOP-CT), about which a paper is published in IEEE Transactions on Computational Imaging [Schut 2022].</p><p> </p><p><strong>Description</strong></p><p><i>Sample information</i></p><p>The samples are 23 mandarins. The first 10 are of the Nadorcott cultivar, and the remaining 13 are of the Clemenrubi cultivar. The diameter of the mandarins ranges between 50 and 58 mm. Per sample metadata can be found in the mandarin_metadata.csv file.</p><p><i>Scanner information</i></p><p>The dataset is acquired in the FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. The CT scanner consists consists of a cone-beam microfocus polychromatic X-ray point source, and a 1944x1536 pixel, 14-bit, flat detector panel (Dexela1512NDT). Full details can be found in [Coban 2020].</p><p><i>Scanning geometry</i></p><p>The mandarins were moved according to a custom scanning protocol, with the intention to simulate a conveyor belt setup. A wooden disk was attached on top of the rotation stage and six evenly spaced object positions were marked on the disk at a fixed distance from the center of rotation. Pieces of cardboard tube were used as sample holders to make sure the mandarins wouldn't roll as the disk would rotate and to raise them from the disk without attenuating too much of the X-ray signal. The rotation stage was positioned in such a way that over a full rotation of the disk, each mandarin would be completely in view of the detector for more than 180 degrees of the rotation, while there would also be a position at which it would be completely out of view. An image illustrating the exact dimensions is included in mandarin_carousel_dimensions.png.</p><p>The scan was performed in phases. Every phase 400 projection images were acquired, while rotating the disk for 60 degrees. This would rotate one of the positions out of view of the scanning setup. Before the first 6 phases a mandarin was added on the position that was out of view of the setup. For the phases after that the position that would be out of view would contain a mandarin that had rotated the full circle so that mandarin was replaced with a new mandarin. At the last 6 phases there would be no new mandarins left to add so the mandarin that was out of view of the setup would only be removed. The projection images acquired from each phase were concatenated resulting in a dataset of 11200 projections. At most 5 mandarins were in view at a given time.</p><p>Note: Due to a small oversight while scanning, the 19th mandarin is not included on projections 9200-9205. This area can be masked out during reconstruction.</p><p><i>Scanning settings</i></p><p>A peak voltage of 90kV was used, the target power was set to 49.5W and the spectrum was pre-filtered using 0.1mm of copper. An exposure time of 200 ms was used for each projection. A start-stop acquisition scheme was used to minimize vibrations and to make adding and removing mandarins easier: After each projection image was acquired, the stage was rotated to a new position and the scanner was paused for 200 ms before acquiring the next projection image. Darkfield and flatfield images were acquired before and after all the mandarins were scanned using the average over 200 images. 2x2 pixel hardware binning was used and all images were cropped to a 500 pixel high region around the center, resulting in 11200 projection images of 956x500 pixels (11.1GB uncompressed). All images are stored in .tif format.</p><p><i>Reconstructing volumes</i></p><p>The repository <a href="https://github.com/D1rk123/top-ct_experiments">https://github.com/D1rk123/top-ct_experiments</a> contains code for TOP-CT simulations and reconstructions. The script mandarin_carousel_experiment.py was specifically written to reconstruct volumes for each separate mandarin from this dataset.</p><p> </p><p><strong>Research group</strong><br>These datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI) in Amsterdam, The Netherlands: <a href="https://www.cwi.nl/research/groups/computational-imaging">https://www.cwi.nl/research/groups/computational-imaging</a></p><p><strong>Contact details</strong><br>dirk [dot] schut [at] cwi [dot] nl</p><p><strong>Acknowledgments</strong><br>This work was funded by the Dutch Research Council (NWO) through the UTOPIA project (ENWSS.2018.003). The authors also acknowledge TESCAN-XRE NV for their collaboration and support of the FleX-ray laboratory.</p><p><strong>References</strong></p><p>[Schut 2022] D. E. Schut, K. J. Batenburg, R. van Liere, and T. van Leeuwen, "TOP-CT: Trajectory with Overlapping Projections X-ray Computed Tomography", 2022, IEEE Transactions on Computational Imaging<br>[Coban 2020] S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, "Explorative imaging and its implementation at the FleX-ray Laboratory," J. Imaging, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018.</p><p>If you use (parts of) this data in a publication, please consider citing the first article.</p>
In vitro mutation induction: a database of x-ray and particle irradiation experiments
<p>The database presents a collection of <em>in vitro</em> mutation induction data after photon and particle beam irradiation. The experiments included in the database were all performed by means of the <em>hprt</em> mutation assay. The collection was based on extensive literature search, and contains data published in the time period from 1977 to 2002.</p> <p>As better described in the README file, the database provides information on RBE for cell killing and mutation induction, as well as dose response curves raw data for both endpoints, as digitised (when available) from the original publication.</p> <p>This study is part of a manuscript that was submitted for publication in April 2022.</p>
Supporting information for the paper: Terrestrial Gamma-ray Flashes with Accompanying Elves Detected by ASIM
<p>Supporting data to the paper "Terrestrial Gamma-ray Flashes with Accompanying Elves Detected by ASIM"</p>
Electron concentration profiles calculated using different plasma chemical models during solar X-ray flares
<p>The files contain electron concentration <em>Ne</em> profiles during solar X-ray flares that occurred on 24-25 October 2013 and 9-11 June 2014. The altitude range is 50-90 km.</p> <p>Values of electron concentration were calculated using four-, five- and eight-component models of the ionospheric D-region. Results are obtained on four VLF paths: from European transmitters ICV, FTA, GQD, DHO to Mikhnevo geophysical observatory (55°N 38°E).</p> <p>The data is presented as MATLAB files. Each .mat file contains data and variable "description" with data's structure information.</p>
IODP Expedition 372A X-ray diffraction (XRD)
<p>X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).</p>
IODP Expedition 374 X-ray diffraction (XRD)
<p>X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.