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1,435 results for “trans”
The OY-Trans dataset for trans-31P21H2H
<p>The dataset is an archive of ExoMol page, https://exomol.com/data/molecules/trans-P2H2/trans-31P2-1H2/OY-Trans.<br>Please check the reference details according to the following description or directly from the website.<br> <strong>NB: The html description skips data which are not included in the current version for the purpose of simplicity. Please check trans-P2H2_trans-31P21H2H_OY-Trans.md for detailed information.</strong> <br></p> <strong>Definitions file</strong> <blockquote> <p><strong>trans-31P2-1H2__OY-Trans.def</strong>[8.25 KB]<br></p> <p><strong>References:</strong><br> 1. Tennyson, J., Yurchenko, S. N., Al-Refaie, A. F., Clark, V. H. J., Chubb, K. L., Conway, E. K., Dewan, A., Gorman, M. N., Hill, C., Lynas-Gray, A. E., Mellor, T., McKemmish, L. K., Owens, A., Polyansky, O. L., Semenov, M., Somogyi, W., Tinetti, G., Upadhyay, A., Waldmann, I., Wang, Y., Wright, S., Yurchenko, O. P., "The 2020 release of the ExoMol database: molecular line lists for exoplanet and other hot atmospheres", J. Quant. Spectrosc. Rad. Transf., 255, 107228 (2020). [<a href="https://doi.org/10.1016/j.jqsrt.2020.107228">https://doi.org/10.1016/j.jqsrt.2020.107228</a>]</p> </blockquote> <strong>Spectroscopic Model</strong> <blockquote> <p><a href="https://exomol.com/models/trans-P2H2/trans-31P2-1H2/OY-Trans/">https://exomol.com/models/trans-P2H2/trans-31P2-1H2/OY-Trans/</a><br></p> </blockquote> <strong>OY-Trans: line list</strong> <p><strong>NB: These data are not included in the current version on Zenodo because the data are over Zenodo upload cap, 50GB</strong><br> <strong>Data can be accessed via:</strong> https://exomol.com/data/molecules/trans-P2H2/trans-31P2-1H2/OY-Trans<br></p> <blockquote> <p><strong>References:</strong><br> 1. Owens, A., Yurchenko, S. N., "Theoretical rotation-vibration spectroscopy of cis- and trans-diphosphene (P2H2) and the deuterated species P2HD", Journal of Chemical Physics 150, 194308/1-9 (2019). <a href="[https://doi.org/10.1063/1.5092767]">[https://doi.org/10.1063/1.5092767]</a>[19OwYuxx.P2H2]<br></p> </blockquote> <strong>OY-Trans: partition function</strong> <p><em>Trans ro-vibrational line list for trans-P2H2</em><br></p> <blockquote> <p><strong>trans-31P2-1H2__OY-Trans.pf</strong>[24.41 KB]<br>Partition function produced using the Trans-(31P)2(1H)2 line list.</p> <p><strong>References:</strong><br> 1. Owens, A., Yurchenko, S. N., "Theoretical rotation-vibration spectroscopy of cis- and trans-diphosphene (P2H2) and the deuterated species P2HD", Journal of Chemical Physics 150, 194308/1-9 (2019). <a href="[https://doi.org/10.1063/1.5092767]">[https://doi.org/10.1063/1.5092767]</a>[19OwYuxx.P2H2]<br></p> </blockquote> <strong>OY-Trans: opacity</strong> <p><em>Trans ro-vibrational line list for trans-P2H2</em><br></p> <blockquote> <p><strong>trans-31P2-1H2__OY-Trans.R1000_0.3-50mu.ktable.ARCiS.fits.gz</strong>[296.04 MB]<br>ARCiS k-tables at R= 1000 (0.3-50mu) in fits format (gzipped): OY-Trans (31P)2(1H)2 line list.</p> <p><strong>trans-31P2-1H2__OY-Trans.R1000_0.3-50mu.ktable.NEMESIS.kta</strong>[232.01 MB]<br>NEMESIS k-tables at R= 1000 (0.3-50mu) in NEMESIS-kta format: OY-Trans (31P)2(1H)2 line list.</p> <p><strong>trans-31P2-1H2__OY-Trans.R15000_0.3-50mu.xsec.TauREx.h5</strong>[348.39 MB]<br>TauREx k-tables at R= 15000 (0.3-50mu) in HDF5 format: OY-Trans (31P)2(1H)2 line list.</p> <p><strong>trans-31P2-1H2__OY-Trans.R1000_0.3-50mu.ktable.petitRADTRANS.h5</strong>[370.98 MB]<br>petitRADTRANS k-tables at R= 1000 (0.3-50mu) in HDF5 format: OY-Trans (31P)2(1H)2 line list.</p> <p><strong>References:</strong><br> 1. Owens, A., Yurchenko, S. N., "Theoretical rotation-vibration spectroscopy of cis- and trans-diphosphene (P2H2) and the deuterated species P2HD", Journal of Chemical Physics 150, 194308/1-9 (2019). <a href="[https://doi.org/10.1063/1.5092767]">[https://doi.org/10.1063/1.5092767]</a>[19OwYuxx.P2H2]<br> 2. Chubb, K. L., Rocchetto, M., Yurchenko, S. N., Min, M., Waldmann, I., Barstow, J. K., Molliere, P., Al-Refaie, A. F, Phillips, M. W., Tennyson, J., "The ExoMolOP database: Cross sections and k-tables for molecules of interest in high-temperature exoplanet atmospheres", Astronomy and Astrophysics 646, A21 (2020). <a href="[http://dx.doi.org/10.1051/0004-6361/202038350]">[http://dx.doi.org/10.1051/0004-6361/202038350]</a>[20ChRoYu.]<br></p> </blockquote>
Dataset of the article "Bayesian phylogenetics illuminate shallower relationships in Trans-Himalayan languages in Tibet-Arunachal area"
<p>This repository archives the dataset of the article "Bayesian phylogenetics illuminate shallower relationships in Trans-Himalayan languages in Tibet-Arunachal area". The cognate annotation of Tshangla, Kho-Bwa, Hrusish, Mishmic, and Tani languages were done by us. The cognate decision on the other languages was annotated by Sagart et al. (2019). Please use the following information to cite our work: <br> Wu, M.-S, Bodt, T. A, Tresoldi, T. (2022). Bayesian phylogenetics illuminate shallower relationships Trans-Himalayan languages in the Tibet-Arunachal area. Linguistics of the Tibeto-Burman Area. [forthcoming]</p>
The OY-Trans dataset for trans-31P21H2
<p>The dataset is an archive of ExoMol page, https://exomol.com/data/molecules/trans-P2H2/trans-31P2-1H-2H/OY-Trans.<br>Please check the reference details according to the following description or directly from the website.<br> <strong>NB: The html description skips data which are not included in the current version for the purpose of simplicity. Please check trans-P2H2_trans-31P21H2_OY-Trans.md for detailed information.</strong> <br></p> <strong>Definitions file</strong> <blockquote> <p><strong>trans-31P2-1H-2H__OY-Trans.def</strong>[7.91 KB]<br></p> <p><strong>References:</strong><br> 1. Tennyson, J., Yurchenko, S. N., Al-Refaie, A. F., Clark, V. H. J., Chubb, K. L., Conway, E. K., Dewan, A., Gorman, M. N., Hill, C., Lynas-Gray, A. E., Mellor, T., McKemmish, L. K., Owens, A., Polyansky, O. L., Semenov, M., Somogyi, W., Tinetti, G., Upadhyay, A., Waldmann, I., Wang, Y., Wright, S., Yurchenko, O. P., "The 2020 release of the ExoMol database: molecular line lists for exoplanet and other hot atmospheres", J. Quant. Spectrosc. Rad. Transf., 255, 107228 (2020). [<a href="https://doi.org/10.1016/j.jqsrt.2020.107228">https://doi.org/10.1016/j.jqsrt.2020.107228</a>]</p> </blockquote> <strong>Spectroscopic Model</strong> <blockquote> <p><a href="https://exomol.com/models/trans-P2H2/trans-31P2-1H-2H/OY-Trans/">https://exomol.com/models/trans-P2H2/trans-31P2-1H-2H/OY-Trans/</a><br></p> </blockquote> <strong>OY-Trans: line list</strong> <p><em>Trans ro-vibrational line list for trans-P2H2</em><br></p> <blockquote> <p><strong>trans-31P2-1H2__OY-Trans.states.bz2</strong>[60.04 MB]<br>The States file of the Trans-(31P)2(1H)2 line list.</p> <p><strong>trans-31P2-1H-2H__OY-Trans__0000-8000.trans.bz2</strong>[19.04 GB]<br>Transitions of the Trans-(31P)2(1H)(2H) line list: 0-8000 cm-1.</p> <p><strong>References:</strong><br> 1. Owens, A., Yurchenko, S. N., "Theoretical rotation-vibration spectroscopy of cis- and trans-diphosphene (P2H2) and the deuterated species P2HD", Journal of Chemical Physics 150, 194308/1-9 (2019). <a href="[https://doi.org/10.1063/1.5092767]">[https://doi.org/10.1063/1.5092767]</a>[19OwYuxx.P2H2]<br></p> </blockquote> <strong>OY-Trans: partition function</strong> <p><em>Trans ro-vibrational line list for trans-P2H2</em><br></p> <blockquote> <p><strong>trans-31P2-1H-2H__OY-Trans.pf</strong>[7.32 KB]<br>Partition function produced using the Trans-(31P)2(1H)(2D) line list.</p> <p><strong>References:</strong><br> 1. Owens, A., Yurchenko, S. N., "Theoretical rotation-vibration spectroscopy of cis- and trans-diphosphene (P2H2) and the deuterated species P2HD", Journal of Chemical Physics 150, 194308/1-9 (2019). <a href="[https://doi.org/10.1063/1.5092767]">[https://doi.org/10.1063/1.5092767]</a>[19OwYuxx.P2H2]<br></p> </blockquote>
Exil:Trans. Forschungsprojekt und Datenbank zu Leben und Arbeit verfolgter Übersetzer und Übersetzerinnen
<p>Diese Datenbank ist Ergebnis der Arbeit im internationalen Forschungsprojekt Exil:Trans – Leben und Arbeiten verfolgter Übersetzer und Übersetzerinnen an der Universität Wien, der Universität Lausanne und der Johannes-Gutenberg-Universität Mainz / Germersheim (D-A-CH Internationales Projekt I 4135: FWF, DFG, SNF). Das Projekt widmet sich Übersetzer*innen, die aufgrund nationalsozialistischer Bedrohung oder Verfolgung ins Exil flüchten mussten. Die Datenbank enthält die biografischen Forschungsdaten des Projekts und somit die Lebensdaten, das translatorische Profil und die Exilwege dieser Übersetzer*innen.</p> <p> </p>
Summary statistic of a Trans ancestry multi-trait GWAS
<p>Trans ancestry multi-trait GWAS by adapting the omnibus test to the trans ancestry setting. </p><p>Genome wide summary statistics for 19 blood count traits were retrieved from Chen et al paper and were downloaded from the GWAS Catalog (<a href="https://www.ebi.ac.uk/gwas/publications/32888493#study_panel">https://www.ebi.ac.uk/gwas/publications/32888493#study_panel)</a></p><p>They curated using the JASS (Joint Analysis of Summary Statistics) pipeline https://gitlab.pasteur.fr/statistical-genetics/jass_suite_pipeline</p><p>See Troubat et al preprint for all details on the obtention of this dataset https://doi.org/10.1101/2023.06.23.546248</p>
Evolution-Guided Engineering of Trans-Acyltransferase Polyketide Synthases
<p>Data underlying the manuscript 'Evolution-Guided Engineering of <em>Trans</em>-Acyltransferase Polyketide Synthases' by Mabesoone, Leopold-Messer and Minas et al.</p> <p>The repository contains:</p> <p>Sequencing data - Genbanks files of construct designs, ab1 and fasta files for Sanger sequencing. For whole plasmid sequencing, fasta, annotated GenBank files, overviews of sequencing statistics and fastq files for selected plasmids, for which fastq files were provided by the sequencing service, are provided.</p> <p>NMR data - raw data and MestReNova files. Also includes HPLC-MS traces of isolated compounds.</p> <p>HPLC-MS data - Raw data collected on Thermo-Fisher instruments. This data can be analyzed with the Xcalibur software suite. The mzXML data can be analyzed with the Python scripts provided in the scripts folder to generate the images shown in the SI. The data collected for Bacillus and Serratia is MS1 data. The data collected for Gynuella also contains MS-MS data.</p> <p>SCA data - Python scripts, GenBank files and produced data underlying the SCA.</p> <p>Bioactivity data - Data underlying the toxicity assays in Figure S122.</p> <p> </p>
Heat map of Trans-Himalayan languages
<p>This is a modified heat map showing the Trans-Himalayan languages used in the study by Wu, Bodt and Tresoldi (accepted; Supplement, page 11, Figure 4). The map has also been used in the publication Bodt (accepted).</p> <p>Wu, Mei-Shin, Timotheus A. Bodt & Tiago Tresoldi. accepted. Bayesian phylogenetics illuminate shallower relationships among Trans-Himalayan languages in the Tibet-Arunachal area. <em>Linguistics of the Tibeto-Burman Area.</em></p> <p>Bodt, Timotheus Adrianus. accepted. <em>Proto-Western Kho-Bwa: Reconstructing the past of a small indigenous community.</em> Academia Sinica Language and Linguistics monograph series.</p> <p> </p>
Data used to generate figures for Trossman et al. for Phil. Trans. A in 2024
<p>These are .mat files for the first six figures of a manuscript intended for a special edition of Philosophical Transactions A and .data/.meta files in MITgcm format that can be read using rdmds.m for the seventh figure of the same manuscript.</p>
Environmental and AIS data collected during the EUMarineRobots Trans-National Access activities experiments using the NATO STO-CMRE Littoral Ocean Observatory Network testbed
<p>Environmental and AIS data collected during the H2020 project EUMarineRobots Trans-National Access activities experiments using the NATO STO-CMRE Littoral Ocean Observatory Network (LOON) testbed. Environmental data consists of temperature measured across the water column; sound velocity measured close to the surface and close to the sea bottom; meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain). The environmental dataset is complemented with Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy)</p> <p>Temperature measured across the water column in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) Nov 12, 19-20, 23-24 - 2020<br> ii) Dec 1-4, 14-20 - 2020<br> iii) Jan 12-13, 15, 18-24, 27-28 - 2021</p> <p><br> Meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) Nov 12, 19-20, 23-24 - 2020<br> ii) Dec 1-4, 14-20 - 2020<br> iii) Jan 12-13, 15, 18-24, 27-28 - 2021</p> <p><br> Sound velocity measured close to the surface (SVP1) and close to the sea bottom (SVP2) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) Nov 12, 19-20, 23-24 - 2020<br> ii) Dec 1-4, 14-20 - 2020<br> iii) Jan 12-13, 15, 18-24, 27-28 - 2021</p> <p>SVP2 data missing for Dec 14-20 (2020) and Jan 24, 27-28 (2021).</p> <p>Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy). The dataset includes AIS data for:<br> i) Nov 12, 19-20, 23-24 - 2020<br> ii) Dec 1-4, 14-20 - 2020<br> iii) Jan 12-13, 15, 18-24, 27-28 - 2021<br> </p> <p>For reference, see: "Environmental data collected on the CMRE LOON tested during the EUMR project: dataset description", Petroccia, Roberto; Zappa, Giovanni; Cimino, Giampaolo; Grati, Alberto; Alves, João. CMRE-DA-2021-001. July 2021, available at https://www.cmre.nato.int/research/publications/latest-techreports/1638-cmre-da-2021-001</p>
Text-fig. 5—Torosaurus utahensis (Gilmore) n. comb., TMM 41480-1, right parietal, a, dorsal view, b, ventral view. x 1/8. in Tyrannosaurus and Torosaurus, Maestrichtian Dinosaurs From Trans-Pecos, Texas
Text-fig. 5—Torosaurus utahensis (Gilmore) n. comb., TMM 41480-1, right parietal, a, dorsal view, b, ventral view. x 1/8.
FiG. 3. — Phlegmariurus lancifolius V.T. Tran & N.V in A new combination and a new species in Phlegmariurus (Herter) Holub (Lycopodiaceae) from Southern Vietnam
FiG. 3. — Phlegmariurus lancifolius V.T. Tran & N.V. Duy, sp. nov.: A, habit; B, segment of leafy branch; C, strobili; D, segment of strobili; E- F, ventral and dorsal views of sporophyll; G, sporangium. Duy N.V. & V.T. Tran 00011 (holo-, DLU!). Drawn by Tran Van Tien. Scale bars: A, 4 mm; B, 5 mm; C, 2 cm; E, 1 mm.
FiG. 4. — Phlegmariurus lancifolius V.T. Tran & N.V in A new combination and a new species in Phlegmariurus (Herter) Holub (Lycopodiaceae) from Southern Vietnam
FiG. 4. — Phlegmariurus lancifolius V.T. Tran & N.V. Duy, sp. nov. (from Lang Bian mountain, type locality): A1, segment of leafy branch; A2, strobili; A3, section of leafy branch; A4, strobili; A5, sections of strobilus; A6, dorsal view of sporophyll; A7, ventral view of sporophyll; A8, sporangium. Phlegmariurus obovalifolius V.T. Tran & N.V. Duy (from Ba Na mountain, type locality): B1, segment of leafy branch; B2, strobili; B3, section of leafy branch; B4, strobili; B5, section of strobilus; B6, dorsal view of sporophyll; B7, ventral view of sporophyll; B8, sporangium. Photos by Tran Van Tien & Nong Van Duy from the type locality. Scale bars; A1, 0.3 cm; A3, 0.5 mm; B1, 0.75 cm; B8, 0.8 mm.
Data for: Glacial and Periglacial Geomorphology of the Drang Drung, Haskira, and Pensilungpa glaciers, Trans-Himalayan Ladakh, India
<p>The geopackage contains the glacial and periglacial geomorphological landforms/features of Drang Drung, Haskira and Pensilungpa glacier valleys mapped from a combination of Planetscope images and Pléiades data (images and digital surface model)</p>
Interpolated data on bioavailable strontium in the southern Trans-Urals, 2020-2022 version 3.1 (current)
<p><strong>Description</strong></p> <p><strong>The Interpolated Strontium Values dataset Ver. 3.1 </strong>presents the interpolated data of strontium isotopes for the southern Trans-Urals, based on the data gathered in 2020-2022. The current dataset consists of five sets of files for five various interpolations: based on grass, mollusks, soil, and water samples, as well as the average of three (excluding the mollusk dataset). Each of the five sets consists of a CSV file and a KML file where the interpolated values are presented to use with a GIS software (ordinary kriging, 5000 m x 5000 m grid). In addition, two GeoTIFF files are provided for each set for a visual reference. </p> <p><a href="../records/10253264/files/Averaged%205000%20m%20interpolated%20points.kml?download=1">Average 5000 m interpolated points.kml</a> / <a href="../records/10253264/files/Averaged%205000%20m%20interpolation.csv?download=1">csv</a>: these files contain averaged values of all three sample types.</p> <p><a href="../records/10253264/files/Grass%205000%20m%20interpolated%20points.kml?download=1">Grass 5000 m interpolated points.kml</a> / <a href="../records/10253264/files/Grass%205000%20m%20interpolation.csv?download=1">csv</a>: these files contain data interpolated from the grass sample dataset.</p> <p><a href="../records/10253264/files/Mollusks%205000%20m%20interpolation%20raster.tif?download=1">Mollusks 5000 m interpolated points.kml</a> / <a href="../records/10253264/files/Mollusks%205000%20m%20interpolation.csv?download=1">csv</a>: these files contain data interpolated from the mollusk sample dataset.</p> <p><a href="../records/10253264/files/Soil%205000%20m%20interpolated%20points.kml?download=1">Soil 5000 m interpolated points.kml </a>/ <a href="../records/10253264/files/Soil%205000%20m%20interpolation.csv?download=1">csv</a>: these files contain data interpolated from the soil sample dataset.</p> <p><a href="../records/10253264/files/Water%205000%20m%20interpolated%20points.kml?download=1">Water 5000 m interpolated points.km</a>l / <a href="../records/10253264/files/Water%205000%20m%20interpolation.csv?download=1">csv</a>: these files contain data interpolated from the water sample dataset.</p> <p>The current version is also supplemented with GeoTiff raster files where the same interpolated values are color-coded. These files can be added to Google Earth or any GIS software together with KML files for better interpretation and comparison.</p> <p><a href="../records/10253264/files/Averaged%205000%20m%20interpolation%20raster.tif?download=1">Averaged 5000 m interpolation raster.tif</a>: this file contains a raster representing the averaged values of all three sample types.</p> <p><a href="../records/10253264/files/Grass%205000%20m%20interpolation%20raster.tif?download=1">Grass 5000 m interpolation raster.tif</a>: this file contains a raster representing the data interpolated from the grass sample dataset.</p> <p><a href="../records/10253264/files/Mollusks%205000%20m%20interpolation%20raster.tif?download=1">Mollusks 5000 m interpolation raster.tif</a>: this file contains a raster representing the data interpolated from the mollusk sample dataset.</p> <p><a href="../records/10253264/files/Soil%205000%20m%20interpolation%20raster.tif?download=1">Soil 5000 m interpolation raster.tif</a>: this file contains a raster representing the data interpolated from the soil sample dataset.</p> <p><a href="../records/10253264/files/Water%205000%20m%20interpolation%20raster.tif?download=1">Water 5000 m interpolation raster.tif</a>: this file contains a raster representing the data interpolated from the water sample dataset</p> <p>In addition, the cross-validation rasters created during the interpolation process are also provided. They can be used as a visual reference of the interpolation reliability. The grey areas on the raster represent the areas where expected values do not differ from interpolated values for more than 0.001. The red areas represent the areas where the error exceeded 0.001 and, thus, the interpolation is not reliable. </p> <p> </p> <p><strong>How to use it?</strong></p> <p>The data provided can be used to access interpolated background values of bioavailable strontium in the area of interest. Note that a single value is not a good enough predictor and should never be used as a proxy. Always calculate a mean of 4-6 (or more) nearby values to achieve the best guess possible. Never calculate averages from a single dataset, always rely on cross-validation by comparing data from all five datasets. Check the cross-validation rasters to make sure that the interpolation is reliable for the area of interest. </p> <p> </p> <p><strong>References</strong></p> <p>The interpolated datasets are based upon the actual measured values published as follows:</p> <p>Epimakhov, Andrey; Kisileva, Daria; Chechushkov, Igor; Ankushev, Maksim; Ankusheva, Polina (2022): Strontium isotope ratios (87Sr/86Sr) analysis from various sources the southern Trans-Urals. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.950380</p> <p> </p> <p><strong>Description of the original dataset of measured strontium isotopic values</strong></p> <p>The present dataset contains measurements of bioavailable strontium isotopes (87Sr/86Sr) gathered in the southern Trans-Urals. There are four sample types, such as wormwood (n = 103), leached soil (n = 103), water (n = 101), and freshwater mollusks (n = 80), collected to measure bioavailable strontium isotopes. The analysis of Sr isotopic composition was carried out in the cleanrooms (6 and 7 ISO classes) of the Geoanalitik shared research facilities of the Institute of Geology and Geochemistry, the Ural Branch of the Russian Academy of Sciences (Ekaterinburg). Mollusk shell samples preliminarily cleaned with acetic acid, as well as vegetation samples rinsed with deionized water and ashed, were dissolved by open digestion in concentrated HNO 3 with the addition of H 2 O 2 on a hotplate at 150°C. Water samples were acidified with concentrated nitric acid and filtered. To obtain aqueous leachates, pre-ground soil samples weighing 1 g were taken into polypropylene containers, 10 ml of ultrapure water was added and shaken in for 1 hour, after which they were filtered through membrane cellulose acetate filters with a pore diameter of 0.2 μm. In all samples, the strontium content was determined by ICP-MS (NexION 300S). Then the sample volume corresponding to the Sr content of 600 ng was evaporated on a hotplate at 120°C, and the precipitate was dissolved in 7M HNO 3. Sample solutions were centrifuged at 6000 rpm, and strontium was chromatographically isolated using SR resin (Triskem). The strontium isotopic composition was measured on a Neptune Plus multicollector mass spectrometer with inductively coupled plasma (MC-ICP-MS). To correct mass bias, a combination of bracketing and internal normalization according to the exponential law 88 Sr/ 86 Sr = 8.375209 was used. The results were additionally bracketed using the NIST SRM 987 strontium carbonate reference material using an average deviation from the reference value of 0.710245 for every two samples bracketed between NIST SRM 987 measurements. The long-term reproducibility of the strontium isotopic analysis was evaluated using repeated measurements of NIST SRM 987 during 2020-2022 and yielded 87 Sr/ 86 Sr = 0.71025, 2SD = 0.00012 (104 measurements in two replicates). The within-laboratory standard uncertainty (2σ) obtained for SRM-987 was ± 0.003 %. </p>
Recurring Trans-Atlantic Dust Pathways during June-July
<p>These data represent a self-organizing map (SOM) classification of all trans-Atlantic integrated dust fluxes (IDT) between June-July 1981-2020 as presented in:</p><p><strong>Miller, P. W., </strong>and C. Ramseyer, In press: The relationship between the Saharan Air Layer, convective environmental conditions, and precipitation in Puerto Rico. <i>Journal of Geophysical Research: Atmospheres</i>. </p><p>Each daily IDT field is paired to one of 12 discrete pathways in idt_bmus_junjul.csv. The mean composite IDT over the tropical North Atlantic for each of these 12 patterns, as well as the mean composite Galvez-Davison Index (ERS_idt_node_gdi_1981_2020_junjul.nc) and mean composite precipitation over Puerto Rico (ERS_idt_node_prcp_1981_2020_junjul.nc) for the same node-date pairings are also provided. See the above-referenced manuscript for more details.</p>
Experimental absorption spectra used in "Spectral profile of ro-vibrational transitions of HCl broadened by He, Ar and SF6: testing the β-correction to the Hartmann-Tran profile and the speed dependent (complex) hard collision model"
<p>Experimental absorption spectra used in the article entitled <strong>"Spectral profile of ro-vibrational transitions of HCl broadened by He, Ar and SF<sub>6</sub>: testing the β-</strong><strong>correction to the Hartmann-Tran profile and the speed dependent (complex) hard collision model", </strong>to be published in the Journal of Quantitative Spectroscopy and Radiative Transfer. Accepted 19 March 2024.</p> <div> <div> <div> <div> <h3><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jqsrt.2024.108977" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jqsrt.2024.108977</a></h3> </div> </div> </div> </div> <p> </p> <p>Comma separated ASCII files with 1 header line.</p> <p>First column is wavenumber in cm-1</p> <p>The rest of the columns contain the napierian absorbance at the total pressure given in the header. </p> <p>Mind the units!: pressure of Ar-mixtures is expressed in Torr, pressure of He- and SF6-mixtures is expressed in mbar</p> <p> </p>
Dataset of the publication: Dataset of the publication: Chiral spin-crossover complexes based on an enantiopure Schiff base ligand with three chiral carbon centers. Dalton Trans. 2024, 53, 10637.
<p><span><span><span>Dataset of the publication: Chiral spin-crossover complexes based on an enantiopure Schiff base ligand with three chiral carbon centers<br></span></span></span></p> <p><span><span> A. Regueiro, V. García-López, A. Forment-Aliaga, M. Clemente-León, <em>Dalton Trans.</em> <strong>2024</strong>, <em>53</em>, 10637. </span> </span></p> <p><span><span>doi: 10.1039/d4dt00924j</span></span></p>
Interpolated data on bioavailable strontium in the southern Trans-Urals, 2020-2023, version 1.2. (current)
<p><strong>The Interpolated Strontium Values dataset Ver. 1.2 </strong>presents the interpolated data of strontium isotopes for the southern Trans-Urals, based on the data gathered in 2020-2023. The current dataset consists of five sets of files for two interpolations: based on grass, mollusks, soil, and water samples, as well as the average of three (excluding the mollusk dataset). Each of the five sets consists of a CSV file and a KML file where the interpolated values are presented to use with a GIS software (ordinary kriging, 5000 m x 5000 m grid). In addition, GeoTIFF and JPEG files are provided for each set for a visual reference. </p> <p>Version 1.2 fixes bugs in GeoTIFF files. They can now be accessed in Google Earth (choose "Scale" if prompted that an imported image is too large). </p> <p><strong>How to use it?</strong></p> <p>The data provided can be used to access interpolated background values of bioavailable strontium in the area of interest. Note that a single value is not a good enough predictor and should never be used as a proxy. Always calculate a mean of 4-6 (or more) nearby values to achieve the best guess possible. Never calculate averages from a single dataset, always rely on cross-validation by comparing data from all five datasets. Check the cross-validation rasters to make sure that the interpolation is reliable for the area of interest. </p> <p> </p> <p><strong>References</strong></p> <p>The interpolated datasets are based upon the actual measured values, partially (2020-2022) published as follows:</p> <p>Epimakhov, Andrey; Kisileva, Daria; Chechushkov, Igor; Ankushev, Maksim; Ankusheva, Polina (2022): Strontium isotope ratios (87Sr/86Sr) analysis from various sources the southern Trans-Urals. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.950380</p> <p>Kiseleva, D., Ankusheva, P., Maksim, A., Chechushkov, I., & Epimakhov, A. (2024). Strontium isotopes (87Sr/86Sr) data from southern Trans-Urals, 2023 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14257258</p> <p> </p> <p><strong>Description of the original dataset of measured strontium isotopic values</strong></p> <p>The present dataset contains measurements of bioavailable strontium isotopes (87Sr/86Sr) gathered in the southern Trans-Urals. There are two sample types, such as leached soil (n = 56) and water (n = 56), collected to measure bioavailable strontium isotopes. The analysis of Sr isotopic composition was carried out in the cleanrooms (6 and 7 ISO classes) of the Geoanalitik shared research facilities of the Institute of Geology and Geochemistry, the Ural Branch of the Russian Academy of Sciences (Ekaterinburg). Mollusk shell samples preliminarily cleaned with acetic acid, as well as vegetation samples rinsed with deionized water and ashed, were dissolved by open digestion in concentrated HNO 3 with the addition of H 2 O 2 on a hotplate at 150°C. Water samples were acidified with concentrated nitric acid and filtered. To obtain aqueous leachates, pre-ground soil samples weighing 1 g were taken into polypropylene containers, 10 ml of ultrapure water was added and shaken in for 1 hour, after which they were filtered through membrane cellulose acetate filters with a pore diameter of 0.2 μm. In all samples, the strontium content was determined by ICP-MS (NexION 300S). Then the sample volume corresponding to the Sr content of 600 ng was evaporated on a hotplate at 120°C, and the precipitate was dissolved in 7M HNO 3. Sample solutions were centrifuged at 6000 rpm, and strontium was chromatographically isolated using SR resin (Triskem). The strontium isotopic composition was measured on a Neptune Plus multicollector mass spectrometer with inductively coupled plasma (MC-ICP-MS). To correct mass bias, a combination of bracketing and internal normalization according to the exponential law 88 Sr/ 86 Sr = 8.375209 was used. The results were additionally bracketed using the NIST SRM 987 strontium carbonate reference material using an average deviation from the reference value of 0.710245 for every two samples bracketed between NIST SRM 987 measurements. The long-term reproducibility of the strontium isotopic analysis was evaluated using repeated measurements of NIST SRM 987 during 2020-2022 and yielded 87 Sr/ 86 Sr = 0.71025, 2SD = 0.00012 (104 measurements in two replicates). The within-laboratory standard uncertainty (2σ) obtained for SRM-987 was ± 0.003 %. </p>
Fig. 2. – Annamocalamus kontumensis H. N. Nguyen, N.-H. Xia & V. T. Tran. A in Annamocalamus H. N. Nguyen, N.-H. Xia & V. T. Tran, a new genus of bamboo (Poaceae) from Vietnam
Fig. 2. – Annamocalamus kontumensis H. N. Nguyen, N.-H. Xia & V. T. Tran. A. Culm sheath; B. Section of culm sheath with auricles; C. Dorsal view of blade; D. Leafy branch; E. Section of leafy branch; F. Section of flowering branch; G. Spikelet; H. Dorsal view of lemma; I. Dorsal view of palea; J. Lodicules; K. Fleshy fruit. [A, F-K: Averyanov & al. VH020, P; B-E: Nguyen & Tran 2820050540, FSIV] [Drawing: Van Tien Tran]
Fig. 1 in Annamocalamus H. N. Nguyen, N.-H. Xia & V. T. Tran, a new genus of bamboo (Poaceae) from Vietnam
Fig. 1. – Holotype of Annamocalamus kontumensis H. N. Nguyen, N.-H. Xia & V. T. Tran. [Averyanov & al. VH020, P] [© Muséum National d'Histoire Naturelle. Reproduced with permission]
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.