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794 results for “publishing”
FIG. 14 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 14. — Lectotype of Saussurea vestita Franch., Delavay 2145 (P00602923).
FIG. 11 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 11. — Lectotype of Saussurea spatulifolia Franch., Delavay 2101 (P00602912).
FIG. 9 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 9. — Lectotype of Saussurea oligantha Franch., Farges 35 (P00602883).
FIG. 8 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 8. — Lectotype of Saussurea macrota Franch., Farges s.n. (P00602874).
FIG. 10 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 10. — Lectotype of Saussurea romuleifolia Franch., Delavay 490 (P00705566).
FIG. 7 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 7. — Lectotype of Saussurea flexuosa Franch., Farges s.n. (P00602848).
FIG. 13 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 13. — Lectotype of Saussurea sutchuenensis Franch., Farges s.n. (P00602916).
FIG. 5 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 5. — Lectotype of Saussurea delavayi Franch., Delavay 996 (P00602833).
FIG. 6 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 6. — Lectotype of Saussurea eriocephala Franch., Delavay 4720 (P00602842).
FIG. 4 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 4. — Lectotype of Saussurea compta Franch., Soulié 620 (P00602826).
FIG. 3 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 3. — Lectotype of Saussurea ciliaris Franch., Delavay 2105 (P00705417).
FIG. 2 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 2. — Lectotype of Saussurea chetchozensis Franch., Delavay 2510 (P00602821).
Collection of Islamic histories published in Kazan
<p>These lithographed and typeset Arabic script, primarily Turkic language volumes were accessed at https://darul-kutub.com/ and are deposited here as a research archive to preserve permanent access. They were published between 1880 and 1920 in Kazan. Some are popularized versions of traditional Islamic works, and some are contemporary histories from the period.</p> <p>The original archive can be searched as follows for further volumes: https://darul-kutub.com/search/?author=&title=&category=36&primary=11 (biography, 20 works).</p> <p>https://darul-kutub.com/search/?author=&title=&category=17&primary=11 (history and geography, 95 works).</p> <p>Etc.</p>
List of weevils involved in brood site pollination. Published records and new observations
<p>List of plant-weevil brood-site pollination mutualism obtained through literature review completed by unpublished observations. Weevil names and authorship follows the Weevil taxa database (accessed January 2023) otherwise stated. Plant names have been updated according to the World Flora Online (<a href="http://www.worldfloraonline.org/">http://www.worldfloraonline.org/</a>, accessed August 2022).</p>
Supplementary dataset for a talk about russian journals and publishers
<p>This supplementary dataset for a talk about Russian journals and publishers in Scopus contains ids and 2020-23 publication counts for ca 700 Russian journals along with data on the share of internationally coauthored publications, and a simple publisher taxonomy.</p>
Scholarly publishing in a developing nation
<p class="MsoNormal">The scholarly literature from the developing world is low, and the scientific impact in some countries, including Libya, is much lower compared with their peers. This study explores the editorial practices and editors' perspectives to gain insight into the standard of scholarly publishing in Libya.</p>
Data from: Thermal springs and active fault network of the central Colca River basin, Western Cordillera, Peru, published in Journal of Volcanology and Geothermal Research
<p>We used hydrogeochemical analysis of 35 water samples from springs and geysers, together with isotopic (δ<sup>18</sup>O and δD) analysis, chemical and mineral studies of precipitates collected in the field around these outflows, and field observations to study the thermal system of the Colca River basin in S Peru. We aimed to determine the geochemistry of thermal waters, identify fluid sources and their origin, estimate reservoir temperature, and discuss the regional tectonic and volcanic framework. Our findings presented in Tyc et al. (2022; https://doi.org/10.1016/j.jvolgeores.2022.107513) corroborate a heterogeneous and complex geothermal system in the central region of the Colca River basin. This system exhibits contrasting hydrogeochemical and physical characteristics, variable isotope compositions, distinct reservoir temperatures, and associated precipitates near thermal springs. The control of water chemistry in this area is closely linked to the activity of the Ampato-Sabancaya magmatic chamber and the presence of tectonic structures, which enable intricate interactions between meteoric waters, magmatic fluids, and gases.</p> <p>Here, we present datasets used in the article (Tyc et al., 2022; https://doi.org/10.1016/j.jvolgeores.2022.107513), including:</p> <p>- Physicochemical characteristics of water samples collected by authors in the field in September 2012 and August–September 2017 (Table 1)</p> <p>- Chemical and isotopic composition of water samples collected by authors in the field in September 2012 and August–September 2017 (Table 2) and those monitored by INGEMMET in years 2013-2018 (Table 3)</p> <p>- Chosen molecular ratios discussed in Tyc et al., 2022 (Table 4)</p> <p>- Calculated reservoir temperature with the use of different Na/K geothermometers (Table 5)</p> <p>- Mineral phases in efflorescences precipitating at the water sampling sites (Table 6).</p> <p>Thirty-five sets of water samples were collected in the field in September 2012 and August–September 2017 using polyethylene bottles of high density (Table 1). Consequently, these were analyzed in the Water Analysis Laboratory at the University of Silesia in Katowice (Poland; Table 2). Water temperatures, pH, and electrical conductivity were measured in the field using portable pH meter CP-315 and conductivity meter CC-315, both with temperature sensors, with an accuracy of ±0.1 °C, ±0.01 pH, and ± 0.1% (up to 19.999 mS/cm) or ± 0.25% (above 20.00 mS/cm), respectively. Discharge of springs was estimated if possible (Table 1). Both cations and anions were analyzed by ion chromatography using Methron 850 Professional Ion Chromatograph with separate Metrosept C4–150 and A-supp 7–250 columns for cations and anions, respectively (Tables 2 and 4). Analysis of water analyses collected by INGEMMET in years 2013-2018 was performed at the INGEMMET Chemical Laboratory in Lima with the use of ion chromatography (Dionex ICS 5000) for the determination of anions and inductively coupled plasma optical emission spectrometry (ICP-OES) – VARIAN for cations (Table 3). Isotopic analyses (δ<sup>2</sup>H, δ<sup>18</sup>O) of 17 water samples collected in 2017 were performed at the Stable Isotope Laboratory Institute of Geological Sciences Polish Academy of Sciences (Table 2). The δ<sup>2</sup>H values of studied H<sub>2</sub>O were measured using the H-Device peripheral coupled to MAT 253 IRMS (Thermo Scientific) in a dual inlet system. For the determination of δ<sup>18</sup>O in H<sub>2</sub>O, an equilibration technique was used. The analysis used the GasBench II peripheral device (Thermo Scientific) coupled to MAT 253 IRMS with a continuous He flow. The AquaChem 4.0.284 software was used to evaluate the water samples' geochemical properties and calculate reservoir temperature for thermal waters (Table 5). Precipitates found at the water sampling sites were collected separately into plastic bags with strings and sealed boxes. These samples were subsequently analyzed at the Institute of Earth Sciences, University of Silesia in Katowice. The qualitative chemical composition and mineral characteristics were examined using a Philips XL 30 ESEM/TMP scanning electron microscope coupled with an energy-dispersive spectrometer (EDS; EDAX type Sapphire). The phase composition of the precipitates was determined through X-ray diffraction (XRD) using a Philips PW 3710 diffractometer. The XRD data were analyzed and interpreted using the X'Pert HIGHScore Plus software (Table 6).</p>
Circular Economy – current view by the Construction sector – analysis of published definitions.
<p>Data set (spreadsheet) for the article in the title.</p>
How do mathematicians publish? - Some trends
<p>The file contains aggregated bibliographic data from zbMATH Open, as of Jun 30th, 2023, on mathematical publication figures, active identified authors per year for aggregated mathematical subjects.</p> <p>Furthermore, it contains (first, and by far largest, table) the citations for all (anonymized) identified authors in zbMATH Open in relation to their coauthor distance.</p> <p>The data were used for diagrams in the article "How do mathematicians publish? - Some trends", EMS Magazine 129.</p>
MCMC chains representing stellar halo fits for Lane et al. (2023) paper published in MNRAS
<p>Results for the paper entitled "The stellar mass of the Gaia-Sausage/Enceladus accretion remnant" published in MNRAS by Lane, Bovy, & Mackereth. The results are in the form of MCMC posterior chains, which are used to generate the results recorded in Table 1 of the manuscript. The process used to generate these data is outlined in section 2 (data & sample preparation), section 3 (Density modelling framework), and section 4 (Presentation of results) of the manuscript.</p> <p>The data are contained within a single gzipped .tar file, organized in two directories: gse/ containing the results for fits to the GS/E kinematic samples, and all/ containing the results for the fits to the whole halo sample. In the gse/ directory, there are three directories: eLz/, AD/, and JRLz/, containing the results for the fits to each of the respective kinematically defined subsamples. Within these directories, as well as within all/, are a final set of directories for each of the eight density profiles considered in the work.</p> <p>Within each of these directories are a single file named "samples.npy" which is a binary file (see <a href="https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html#module-numpy.lib.format">this link</a> for format information) containing a numpy array of shape (# of parameters, # of posterior samples). The number of posterior samples is the number of walkers (100) times the number of samples per walker (10,000), minus the number of burn-in steps per walker (1,000) = 900,000. The number of parameters can be inferred from the density profiles definitions in section 3 of the manuscript, and the ordering of the parameters is the same as in Table 1. The units of the parameters are as in Table 1, except for the parameters theta and phi which are scaled such that they are defined on the interval (0,1), representing the intervals (0,2pi) and (0,pi) respectively.</p>
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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.
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.