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FIG. 4. — A, Allium nigrum L in Découverte d'Allium cyrilli Ten. et actualisation de la section Melanocrommyum Webb & Berthel. (Amaryllidaceae) en Algérie et au Maghreb
FIG. 4. — A, Allium nigrum L. en Numidie littorale (NE-Algérie). Photo E. Véla, 15 avril 2003; B, Allium nigrum en Kabylie (N-Algérie). Photo K. Rebbas, 9 avril 2010; C, Allium nigrum dans les Monts de Tlemcen (NW-Algérie). Photo K. Moulay-Meliani, 27 avril 2011.
FIG. 1 in Découverte d'Allium cyrilli Ten. et actualisation de la section Melanocrommyum Webb & Berthel. (Amaryllidaceae) en Algérie et au Maghreb
FIG. 1. — Allium cyrilli Ten., forme claire dans l'ouest des Monts du Hodna (N-Algérie). Photos K. Rebbas, 28 avril 2011 (A, B) et 19 mai 2013 (C).
FIG. 3 in Découverte d'Allium cyrilli Ten. et actualisation de la section Melanocrommyum Webb & Berthel. (Amaryllidaceae) en Algérie et au Maghreb
FIG. 3. — Allium nigrum (à gauche) et Allium cyrilli (à droite) en boutons, provenant respectivement des environs de Hammam Guergour et de Sétif (NE-Algérie). Photo E. Véla, 12.IV.2014.
Figs 8–19. Synergus gifuensis and S. japonicus. 8–11, 16, 18. S. gifuensis. 12–15, 17, 19. S. japonicus. 8, 12. Head, dorsal view. 9, 13. Head, frontal view. 10, 14. Mesosoma, dorsal view. 11, 15. Metasoma, lateral view. 16–17 in Taxonomic review of East Palearctic species of Synergus section I, with description of a new species from China (Hymenoptera: Cynipidae: Cynipinae)
Figs 8–19. Synergus gifuensis and S. japonicus. 8–11, 16, 18. S. gifuensis. 12–15, 17, 19. S. japonicus. 8, 12. Head, dorsal view. 9, 13. Head, frontal view. 10, 14. Mesosoma, dorsal view. 11, 15. Metasoma, lateral view. 16–17. First and second flagellomeres of male antenna. 18–19. First flagellomere of female antenna.
Source: Photos courtesy of M.M. Le Roux (a–d) and K.S. Mashego (e–f) FIGURE 1: Morphological characters of Thesium confine (a, d, e) and T. durum (b, c, f) showing (a) the scale-like leaves found in both species; (b) involucral bracts that are invariably present in T. durum; (c) longitudinal section of a flower showing the dense hairs on the perianth lobes, stigma opposite the anthers and the twisted placental column; the habit of (d) T. confine and typical herbarium specimens of (e) T. confine and (f) T. durum. in A taxonomic evaluation of the Thesium confine species complex (Santalaceae)
Source: Photos courtesy of M.M. Le Roux (a–d) and K.S. Mashego (e–f) FIGURE 1: Morphological characters of Thesium confine (a, d, e) and T. durum (b, c, f) showing (a) the scale-like leaves found in both species; (b) involucral bracts that are invariably present in T. durum; (c) longitudinal section of a flower showing the dense hairs on the perianth lobes, stigma opposite the anthers and the twisted placental column; the habit of (d) T. confine and typical herbarium specimens of (e) T. confine and (f) T. durum.
Set of cross sections presented in "Electronic excitation of benzene by low energy electron impact and the role of higher lying Rydberg states"
<p>Contents:</p> <p>117_ch_thresholds.txt: TCIS excitation energies obtained from the 117CH-B1 calculation.</p> <p>305_ch_thresholds.txt: TCIS excitation energies obtained from the 305CH-B2 calculation.</p> <p>117_ch_DCS.tar.gz: differential cross sections obtained from the 117CH-B1 calculation.</p> <p>305_ch_DCS.tar.gz: differential cross sections obtained from the 305CH-B2 calculation.</p> <p>305_ch_DCS_BC.tar.gz: differential cross sections obtained from the 305CH-B2 calculation with the Born-Closure procedure for the dipole-allowed transitions of band V.</p> <p>305_ch_ICS_and_ICS_BC.tar.gz: elastic and summed electronic excitation integral cross sections and total cross sections, obtained from the 305CH-B2 calculation, with and without the Born-Closure procedure for the dipole-allowed transitions of band V.</p>
Input data for performing a model evaluation of the sectional aerosol module SALSA embedded to PALM model system 6.0
<p>This dataset includes the input information applied to perform a model evaluation study of the PALM model system together with the sectional aerosol module SALSA. </p> <p>The content:</p> <ul> <li>PIDS_STATIC: building height and leaf area density data</li> <li>PIDS_AERO_<simulation time>_<number of aerosol size bins>: aerosol emission data as size bin specific surface emissions (level of detail 2) and aerosol background concentrations</li> <li>PIDS_CHEM_<simulation time>: emission data and background concentrations of gaseous compounds</li> </ul> <p>PIDS_STATIC contains static data and is therefore the same for all simulations.</p> <p>See the model documentation https://palm.muk.uni-hannover.de/trac/wiki/doc for further details.</p>
Charcoal concentration records of Nanyu Section in the Wushan Basin, northeastern Tibetan Plateau, China
<p>We provide a high–resolution [~9 thousand years (ky)/sample] charcoal concentration record from the Nanyu section (Long. 140.9° E, Lat. 34.7° N) during the Mid–Miocene (~16–13.6 Ma) in the Wushan Basin, northeastern Tibetan Plateau, China. </p>
Charcoal particles concentration records of Nanyu Section in the Wushan Basin, northeastern Tibetan Plateau, China
<p>We provide a high–resolution [~9 thousand years (ky)/sample] charcoal concentration record from the Nanyu section (Long. 140.9° E, Lat. 34.7° N) during the Mid–Miocene (~16–13.6 Ma) in the Wushan Basin, northeastern Tibetan Plateau, China. </p>
Data of: Cross-sectional survey on Germans' awareness for refugees' information barriers
<p>The present dataset is the result of a cross-sectional online survey, which had been conducted to examine selected predictors of Germans' problem awareness in the form of perceived information barriers that refugees face, placing an emphasis on the role of positive intercultural contact experiences. The survey content is based on an extended version of the Empathy-Attitude-Action model and was carried out with a sample of Germans. </p> <p>The dataset is in xlsx-format and the variable-descriptions can be found in the headings of the spreadsheet. </p>
Two-photon fluorescence microscopy image stacks of human brain sections (grey and white matter)
<p>Two-photon fluorescence microscopy (TPFM) image stacks of human brain sections including grey matter (N<sub>g</sub>=10) and white matter (N<sub>w</sub>=10), considered in the validation of the 3D fiber orientation analysis pipeline proposed in: "<em>Fiber enhancement and 3D orientation analysis in label-free two-photon fluorescence microscopy</em>". <br> Human brain tissue was preliminarily treated for TPFM following the label-free MAGIC preparation technique, presented in (Costantini et al., <em>Scientific Reports</em> 2021).</p> <p>The PSF of the TPFM system has a FWHM of (0.692, 0.692, 2.612) μm along the x, y, and z axes, respectively, whereas the adopted voxel size is 0.88 μm x 0.88 μm x 1 μm.</p>
Fig. 3 in A new technique and software to optimize compression and data retrieval in the Material Examined section of taxonomic publications
Fig. 3. Resulting order after multiple sorting according to the columns typeStatus, country, state, city and locality, in that order. This sequence of column names corresponds to the variable Sorting Order in the Gridit software.
Fig. 2 in A new technique and software to optimize compression and data retrieval in the Material Examined section of taxonomic publications
Fig. 2. Columns swapped according to the desired order for the information in the final text. The order of the column names (scientificName, typeStatus, sex, country, etc.) corresponds to the variable Display Order in the Gridit software.
Fig. 1 in A new technique and software to optimize compression and data retrieval in the Material Examined section of taxonomic publications
Fig. 1. Spreadsheet data from some of the specimens of Distictus tibialis (Brullé, 1846) cited in Supeleto et al. (2019). Mandatory columns and column names in the Gridit software marked in red.
Fig. 5 in A new technique and software to optimize compression and data retrieval in the Material Examined section of taxonomic publications
Fig. 5. Data from the spreadsheet in Fig. 4, excluding header and the column scientificName, copied and pasted into a text editor; resulting tabs (cells) replaced with comma. Sequences of "ib" and "?" in each row were grouped together with a preceding number (e.g., "11ib" in row 2) that indicates the total of subsequent repeats. Each row represents a unique collecting event. The final text generated from this file is shown in Table 2.
Fig. 4 in A new technique and software to optimize compression and data retrieval in the Material Examined section of taxonomic publications
Fig. 4. Repetitions in each column identified with the ib code for all columns (strict usage of the gridsetting technique).
Age estimation of the Southern Ocean squid Moroteuthopsis longimana using beaks collected from predators' diet: number and increment widths in the rostrum sagittal section of the lower beak
<p>In this work we used upper and lower beaks of <em>Moroteuthopsis longimana </em>collected from the diet of Antarctic toothfish <em>Dissostichus mawsoni </em>from the Pacific (Ross and Amundsen Seas) and Atlantic (South Sandwich Islands) sectors of the Southern Ocean to study the feasibility of using beaks collected from predators’ stomachs to study the age of Southern Ocean oceanic squid and to estimate the age and growth patterns of <em>M. longimana. </em>We analysed the presence of micro-increments in the rostrum sagittal section (RSS) and the lateral wall of both upper and lower beaks. Lower beak’s RSS was the only section where it is possible to observe and count a readable sequence of increments that allowed to estimate the age of oceanic squid using beaks collected from predators’ stomachs.</p> <p>This dataset contains the number and width of increments found in the RSS of the 10 <em>M. longimana</em>’s lower beaks used in this study. Further information related with the studied beaks such as beak measurements, origin and sample date can be found in the published article.</p> <p>This dataset is associated with the article: Queirós JP, Bartolomé A, Piatkowski U, Xavier JC, Perales-Raya C (2023) Age and growth estimation of Southern Ocean squid <em>Moroteuthopsis longimana</em>: can we use beaks collected from predators’ stomachs? Marine Biology 170, 10. DOI 10.1007/s00227-022-04156-2</p>
IODP Expedition 350 Section summary
<p>Report includes data for individual core sections: coring/drilling depths and recovery, database identifiers for the whole section and section halves, and number of samples taken from the section before and after splitting.</p>
IODP Expedition 350 P-wave velocity bayonet (section)
<p>P-wave velocity data were measured on undisturbed section halves using pairs of piezoelectric transducers mounted in bayonets that are inserted into soft sediment along the JRSO-defined y-axis and/or z-axis. Report includes P-wave velocity in y and/or z direction, bayonet separation, traveltime between transducers, and first arrival picks.</p>
Tholin optical constants and cross-sections from Corrales & Gavilan et al., 2023 (accepted ApJL)
<p>Data release for Corrales, L., Gavilan, L., Teal, D. J., Kempton, E. M.-R., 2023, ApJL, in press</p> <p>Provides the optical constants from tholins grown in the laboratory (Gavilan et al. 2017, 2018) and computed cross-sections (Mie) for a wide range of particle sizes, for wavelengths of 0.13-10 micron. Python libraries and code for reproducing this work are provided. A static, refactored version of Exo_Transmit (Kempton et al. 2017, Teal et al. 2022, Corrales et al. 2023) is also provided for computing exoplanet transmission spectra with the new tholin species. </p> <p>See README file for a full list of contents and instructions for use.</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.