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77 results for “deposition analysis”
Text-fig. 6. Comparative analysis of the three genera (Prynadaeopteris RADCZ., Geperapteris S.V.MEYEN, Tumidopteris NAUGOLNYKH) with possible affinity to Gleicheniaceae from the Permian deposits of Angaraland. a–c: Tumidopteris NAUGOLNYKH; d–f: Prynadaeopteris RADCZ. (based on Radczenko 1955, 1956, Naugolnykh 2013); g–i: Geperapteris S.V.MEYEN (based on Meyen 1982, Naugolnykh 2013). Left column – sori in plan (frontal view); central column – leaves; right column – sori in cross-section; FL – flattened sori; HS – hemispherical sori. Scale 1 cm (b, h), 5 mm (e), 1 mm (a, d), 0.5 mm (g); c, f, i – figures schematically drawn without scale. in A New Species Of The Genus Tumidopteris Naugolnykh From The Permian Of The Pechora Cis-Urals, Russia
Text-fig. 6. Comparative analysis of the three genera (Prynadaeopteris RADCZ., Geperapteris S.V.MEYEN, Tumidopteris NAUGOLNYKH) with possible affinity to Gleicheniaceae from the Permian deposits of Angaraland. a–c: Tumidopteris NAUGOLNYKH; d–f: Prynadaeopteris RADCZ. (based on Radczenko 1955, 1956, Naugolnykh 2013); g–i: Geperapteris S.V.MEYEN (based on Meyen 1982, Naugolnykh 2013). Left column – sori in plan (frontal view); central column – leaves; right column – sori in cross-section; FL – flattened sori; HS – hemispherical sori. Scale 1 cm (b, h), 5 mm (e), 1 mm (a, d), 0.5 mm (g); c, f, i – figures schematically drawn without scale.
Dataset of the analysis described in the article: EM signal penetration in a planetary soil simulant: Estimated attenuation rates using GPR and TDR in volcanic deposits on Mount Etna
<p>GPR and TDR Data collected at two sites on Mount Etna.</p> <p>See for more details the article</p>
RAW data for Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique
<p>Raw data for the "Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique" paper.</p>
Sídliště z mladší doby bronzové v Březnici (Česko): data pro depoziční analýzu – The Late Bronze Age site in Březnice (Czechia): data for deposition analysis
<p>Nálezy z archeologického výzkumu v Březnici (okr. Tábor) v letech 2005-2009 a 2019. Výzkum provedl O. Chvojka (Archeologický ústav FF JU v Českých Budějovicích). Data zahrnují údaje o keramice a dalších nálezech použitých k depoziční analýze sídlištních objektů mladší doby bronzové, zejména tzv. žlabů. Výsledky analýzy jsou publikovány v Chvojka et al. 2021. Popis databáze je obsažen v přiloženém PDF souboru. Podpořeno Grantovou agenturou ČR (18-10747S).</p> <p>Finds from the archaeological excavations in Březnice (Tábor district, South Bohemia, Czech Republic) in 2005-2009 and 2019. The fieldwork was directed by O. Chvojka (Institute of Archaeology, South Bohemian University in České Budějovice). Data concern the pottery fragments and other finds (daub, loom weights) used for the analysis of deposition processes in the Late Bronze Age settlement features. Based on this material, a model of house biography and the concept of closing rituals were formulated (see Chvojka et al. 2021). These models suggest an interpretation for the so-called trenches, specific sunken features filled with an unusually rich content of secondary-burnt pottery and other finds. Details of the database are given in the attached PDF file. Supported by the Czech Sceince Foundation (18-10747S).</p> <ul> <li>Chvojka, O. – Kuna, M. – Menšík, P. et al. 2021: Rituály ukončení a obnovy. Sídliště mladší doby bronzové v Březnici u Bechyně – Rituals of termination and renewal. The Late Bronze Age settlement in Březnice near Bechyně. České Budějovice – Praha – Plzeň. ISBN 978-80-7394-899-3; ISBN 978-80-7581-039-7; ISBN 978-80-261-1083-5.</li> </ul>
Data deposition of the article 'Multi-Omics analysis identifies a lncRNA-related prognostic signature to predict bladder cancer recurrence'
<p>Data deposition of the article 'Multi-Omics analysis identifies a lncRNA-related prognostic signature to predict bladder cancer recurrence'</p>
Lead Isotope Analysis of Native Copper Deposits in the Lake Superior Basin
<p>This data set is from a pilot study using lead isotope analysis to source native copper in the Lake Superior Basin. Thirty-eight Pb isotope samples are sampled from native copper deposits across the Lake Superior Basin and analyzed via MC-ICP-MS at Indiana University’s Metal Isotope Lab. Funding was provided by the Indiana University Museum of Archaeology and Anthropology and Isle Royale National Park. </p>
A local and global sensitivity analysis of a mathematical model of coagulation and platelet deposition under flow
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Data from: Do deposit-feeders compete? Isotopic niche analysis of an invasion in a species-poor system
Successful establishment of invasive species is often related to the existence of vacant niches. Competition occurs when invaders use the same limiting resources as members of the recipient community, which will be reflected in some overlap of their trophic niches. The concept of isotopic niche has been used to study trophic niche partitioning among species. Here, we present a two-year field study comparing isotopic niches of the deposit-feeding community in a naturally species-poor system. The isotopic niche analyses showed no overlap between a recent polychaete invader and any of the native species suggesting that it has occupied a vacant niche. Its narrow isotopic niche suggests specialized feeding, however, the high d15N values compared to natives are most likely due to isotope fractionation effects related to nitrogen recycling and a mismatch between biological stoichiometry of the polychaete and the sediment nitrogen content. Notably, highly overlapping isotopic niches were inferred for the native species, which is surprising in a food-limited system. Therefore, our results demonstrate that invaders may broaden the community trophic diversity and enhance resource utilization, but also raise questions about the congruence between trophic and isotopic niche concepts and call for careful examination of assumptions underlying isotopic niche interpretation.
Data from: Evaluating the interaction of faecal pellet deposition rates and DNA degradation rates to optimize sampling design for DNA-based mark-recapture analysis of Sonoran pronghorn
Knowledge of population demographics is important for species management but can be challenging in low-density, wide-ranging species. Population monitoring of the endangered Sonoran pronghorn (Antilocapra americana sonoriensis) is critical for assessing the success of recovery efforts, and noninvasive DNA sampling (NDS) could be more cost-effective and less intrusive than traditional methods. We evaluated faecal pellet deposition rates and faecal DNA degradation rates to maximize sampling efficiency for DNA-based mark–recapture analyses. Deposition data were collected at five watering holes using sampling intervals of 1–7 days and averaged one pellet pile per pronghorn per day. To evaluate nuclear DNA (nDNA) degradation, 20 faecal samples were exposed to local environmental conditions and sampled at eight time points from one to 124 days. Average amplification success rates for six nDNA microsatellite loci were 81% for samples on day one, 63% by day seven, 2% by day 14 and 0% by day 60. We evaluated the efficiency of different sampling intervals (1–10 days) by estimating the number of successful samples, success rate of individual identification and laboratory costs per successful sample. Cost per successful sample increased and success and efficiency declined as the sampling interval increased. Results indicate NDS of faecal pellets is a feasible method for individual identification, population estimation and demographic monitoring of Sonoran pronghorn. We recommend collecting samples >7 days old and estimate that a sampling interval of 4–7 days in summer conditions (i.e. extreme heat and exposure to UV light) will achieve desired sample sizes for mark–recapture analysis while also maximizing efficiency.
Fig. 2. A–C in How repeatable are scientific studies of Kinorhyncha? An analysis of specimen-based location and deposition data in WoRMS from 1863 to 2020
Fig. 2. A–C. Number of species (A), number of specimens (B), and number of locations (C) per 8-year (1863–1870) and 10-year time interval (1870–2020) between 1863 and 2020; data extracted from WoRMS based on publications from all fields of research on Kinorhyncha. D. Assignment of coloured lines to publication data in A–C. Abbreviations:?, unknown if material of species/ specimens/ material of locations deposited in a collection; known species, previously described species mentioned in publication; museum coll., material of species/ specimens/ material of locations deposited in a museum collection; new species, species described as new in publication; non-type, additional non-type material mentioned in connection with description of a new species; personal coll., material of species/ specimens/ material of locations deposited in a collection without a permanent storage and loan system; type, type material (holo-, syn-, and paratypes).
Fig. 1 in How repeatable are scientific studies of Kinorhyncha? An analysis of specimen-based location and deposition data in WoRMS from 1863 to 2020
Fig. 1. Cumulative number of new species of Kinorhyncha described, number of publications referring to new or known species, and total number of publications per 8-year (1863–1870) and 10-year time interval (1870–2020) between 1863 and 2020; number of publications on known species from all fields of research on Kinorhyncha.
Massive Compression for High Data Rate Macromolecular Crystallography (HDRMX): Impact on Diffraction Data and Subsequent Structural Analysis: Subset with data from 2 deposited PDBs.
<p>Diffraction data from a lysozyme crystal. Data collected at 7.5 keV at the AMX beamline, NSLS-II. 360 degrees were collected, with 0.2 deg per frame. This data set contains 2 folders; 1 from uncompressed data and 1 from data compressed using lossy compression as follow: frames were summed (2x), pixels were binned (2x) and Hcompress with level 24 was applied to uncompressed data. </p>
Data Deposition: Time-resolved analysis of transcription kinetics in single live mammalian cells
<p>Actb_result_ACF_fitting: Results of the steady-state autocorrelation method from Actb gene. </p> <p>Actb_result_FP: Results of the time-resolved measurement from Actb gene with Flavopiridol. </p> <p>Actb_result_Trp: Results of the time-resolved measurement from Actb gene with triptolide</p> <p>Arc_result_ACF_fitting: Results of the steady-state autocorrelation method from Arc gene. </p> <p>Arc_result_FP: Results of the time-resolved measurement from Arc gene with Flavopiridol. </p> <p>Arc_result_Trp: Results of the time-resolved measurement from Arc gene with triptolide</p> <p>Simulation_steady_state_errors_Actb_210707_n100</p> <p>: results of autocorrelation fitting from steady-state simulation of Actb transcription</p> <p>Simulation_steady_state_errors_Arc_210707_n100</p> <p>: results of autocorrelation fitting from steady-state simulation of Arc transcription</p> <p>Simulation_time_resolved_errors_Actb_210707_n100</p> <p>: results of time-resolved model fitting from initiation inhibited simulation of Actb transcription</p> <p>Simulation_time_resolved_errors_Arc_210707_n100</p> <p>: results of time-resolved model fitting from initiation inhibited simulation of Arc transcription</p>
Data for "Evaluating Metal-Organic Precursors for Focused Ion Beam Induced Deposition through Solid-Layer Decomposition Analysis"
<p>Experimental Data for "Evaluating Metal-Organic Precursors for Focused Ion Beam Induced Deposition through Solid-Layer Decomposition Analysis"</p> <p> </p> <p> </p> <p>The collected experimental data for tested four different metal-organic precursor layers:</p> <p> </p> <p>1 - [Cu<sub>2</sub>(μ-O<sub>2</sub>C<sup>t</sup>Bu)<sub>4]n</sub></p> <p>2 - [Cu<sub>2</sub>(NH<sub>2</sub>(NH=)CC<sub>2</sub>F<sub>5</sub>)<sub>2</sub>(µ-O<sub>2</sub>CC<sub>2</sub>F<sub>5</sub>)<sub>4</sub>]</p> <p>3 - [Cu<sub>2</sub>(µ-O<sub>2</sub>CC<sub>2</sub>F<sub>5</sub>)<sub>4</sub>]</p> <p>4 - [Ag<sub>2</sub>(μ-O<sub>2</sub>CC<sub>2</sub>F<sub>5</sub>)<sub>2</sub>]</p> <p> </p> <p>BSE.zip - includes SEM BSE images of the precursor layers</p> <p>EDX.zip - inludes SEM EDX results of the precursor layers together with exemplary python jupyter notebook to analyze EDX hyperspectral data</p>
Data for: New insights into multi-component atmospheric wet deposition across China: A multidimensional analysis
<p>Atmospheric wet deposition has attracted much attention because of its removal function of aerosol particles and impact on ecosystem. It is a complex multi-component process due to various pollutants emission sources and reaction processes. However, traditional studies have focused on single components, ignoring the internal relationships and the comprehensive wet deposition level; this has hindered the comprehensive understanding and the assessment of ecological effects of deposition. Here, based on the monitoring of wet deposition across 52 stations during 2013–2018 in China, we used two novel multidimensional methods to investigate multi-component atmospheric wet deposition: network analysis and comprehensive index. Network analysis is a new method that can help us better explore the overall relationship between multiple components. The tighter deposition networks, the stronger relationship between different components, meaning that their source are more similar. We find that with the improvement of human development level and the diversification of energy structure, the deposition relationship networks will become looser. Comprehensive index is a method to realize the fusion of multiple parameters, which can help us explore the comprehensive effect of multi-component atmospheric deposition on ecosystem. We calculated the deposition comprehensive index for different ecological regions and found that it was strongly influenced by human activities (energy consumption, fertilization, and vehicle ownership) and precipitation. The findings presented here provide a new perspective for understanding multi-component atmospheric deposition and potential suggestions for evaluating its comprehensive ecological effects. </p>
IsoCloud4 Data Sets for Depositional Ice Growth Analysis
<p>Data sets used in the publication</p> <p><strong>Re-evaluating cloud chamber constraints on depositional ice growth in cirrus clouds--<br> Part 1: Model description and sensitivity tests </strong><br> K.D. Lamb, J. Harrington, B.W. Clouser, E.J. Moyer, L. Sarkozy, V. Ebert, O. Möhler, H. Saathoff.<br> <em>Atmospheric Chemistry and Physics </em>(2023)</p>
Data from: Do deposit-feeders compete? Isotopic niche analysis of an invasion in a species-poor system
Open the record for dataset details and reuse information.
Data from: Evaluating the interaction of faecal pellet deposition rates and DNA degradation rates to optimize sampling design for DNA-based mark-recapture analysis of Sonoran pronghorn
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Data from: Archaeopedological analysis of colluvial deposits in favourable and unfavourable areas: reconstruction of land use dynamics in SW Germany
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Data for: New insights into multi-component atmospheric wet deposition across China: A multidimensional analysis
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