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9,113 results for “Sampling”
Рис. 1. Карто-схема реки БоΛьшая Пёра с указанием мест отбора проб (обозначены кружками) Fig. 1. Maps of the Bolshaya Pyora River with sampling locations (marked by circles) in The Taxonomic Composition And Quantitative Indicators Of Zoobenthos In The Downstream Of The Bolshaya Pyora River (Zeya River Basin, Amur Region)
Рис. 1. Карто-схема реки БоΛьшая Пёра с указанием мест отбора проб (обозначены кружками) Fig. 1. Maps of the Bolshaya Pyora River with sampling locations (marked by circles)
Data sample for Mercury simulator
<p><strong>Sample data to run Mercury</strong></p> <p>Mercury is available at:<strong> </strong><a href="https://github.com/UoW-ATM/Mercury">https://github.com/UoW-ATM/Mercury</a></p> <p>This file contains a sample of input data for the open-source air mobility simulator Mercury. Please use use version 3 of the dataset for Mercury 3.0 and version X.Y.Z for Mercury X.Y.</p> <p>The dataset is structured as follows:</p> <ul> <li><strong>input</strong>: Input folder for Mercury <ul> <li><strong>input/scenario=-1</strong>: Folder containing scenario -1 with about 1000 flights anonymised.</li> <li><strong>input/scenario=-1/scenario_config.toml</strong>: Configuration file for the scenario</li> <li><strong>input/scenario=-1/data</strong>: data provided is organised as follows: <ul> <li><strong>ac_performance</strong>: aircraft performance dataset. Requires BADA files (not provided, BADA files need to be structured inside provided folders (see Mercury Readme)</li> <li><strong>airlines</strong>: static information on airlines used in the scenario</li> <li><strong>airports</strong>: static information on airports, including capacity declarations and minimum turnaround time. Two subfolders included: taxi (with taxi-in and taxi-out times) and curfew (with curfew times)</li> <li><strong>costs</strong>: data required to define cost functions</li> <li><strong>delay</strong>: delay parameters (non-ATFM)</li> <li><strong>eaman</strong>: definition of EAMAN in scenario (scope)</li> <li><strong>flight_plans</strong>: information on the flight plans, contains: <ul> <li><strong>crco</strong>: not provided as not needed to run Mercury (used for FP generation)</li> <li><strong>en_route_wind</strong>: not provided as not needed to run Mercury (used for FP generation)</li> <li><strong>flight_plans_pool</strong>: pool of flight plans for o-d ac type triplets</li> <li><strong>flight_uncertainty</strong>: distributions to model uncertainty on the realisation of the flight plans</li> <li><strong>routes</strong>: routes available between o-d pairs (used only for HMI and for FP generation (not needed to run Mercury))</li> <li><strong>trajectories</strong>: trajectories available from o-d ac type triplets (used only for HMI and for FP generation (not needed to run Mercury))</li> <li><strong>network_manager</strong>: ATFM probabilities, distributions and definition</li> </ul> </li> <li><strong>pax</strong>: passenger itineraries for flights provided</li> <li><strong>scenario</strong>: static information on scenario (to be deprecated in subsequent updates)</li> <li><strong>schedules</strong>: flight schedules provided (note these will determine which airports, flight plans, etc. are provided in the dataset)</li> </ul> </li> <li><strong>input/scenario=-1/case_sdudies</strong>: folder to contain the definition of case studies <ul> <li><strong>case_study=0</strong>: default case study with the configuration file (case_study_config.toml)</li> </ul> </li> </ul> </li> </ul> <p> </p>
FIG. 6 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 6. — Usnic acid concentrations (mg g–1 dry weight) in the lichen Flavoparmelia caperata (L.) Hale measured in Europe and Africa by HPLC-PDA. The lines represent the minimum and maximum values, the box represents the 25 and 75% of the data, the thick line represents the median. Continents are not significantly different at 95% confidence.
FIG. 4 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 4. — UPLC-PDA-MS analysis of acetone extract of Flavoparmelia caperata (L.) Hale: A, chromatogram showing peaks detected at 280 nm, where (+)-usnic acid eluting at 7.59 minutes; B, extraction ion chromatogram of the ion at m/z 343.10 detection in negative ion mode, corresponding to deprotonated usnic acid molecular ion; C, total ion chromatogram; D, UV spectrum of usnic acid; E, mass spectrum of usnic acid.
FIG. 3 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 3. — Usnic acid, protocetraric acid (p) and caperatic acid (c) sampled from specimens of Flavoparmelia caperata (L.) Hale collected in Europe (HU, Hungary; SRB, Serbia) and Africa (Afr) are presented on developed HPTLC plates (in solvent system C according to Arup et al. 1993) with control: A, under UV 254 nm; B, sprayed with water; C, in daylight after spraying with 10% sulphuric acid and charring.
FIG. 2 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 2. — Collecting sites of the investigated samples of Flavoparmelia caperata (L.) Hale (Table 1): A, in Hungary and Serbia; B, in Kenya and Tanzania.
FIG. 5 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 5. — Usnic acid enantiomers in the lichen Flavoparmelia caperata (L.) Hale: A, the chiral HPLC chromatogram showing separation of usnic acid enantiomer standards: (+)-usnic acid eluting at 8.44 min and (-)-usnic acid eluting at 9.59 min; B, the chromatogram showing only (+)-usnic acid present in F. caperata.
FIG. 1 in Concentration data of (+)-usnic acid enantiomer from some European and African samples of Flavoparmelia caperata (L.) Hale (Parmeliaceae, lichenised Ascomycota) - results of a preliminary study
FIG. 1. — Thalli of Flavoparmelia caperata (L.) Hale, in their habitats in Hungary: A, on bark of Quercus sp. (sample 4); B, on andesite rock (near sample 11). Herbarium specimens: C, from Kenya (VBI 6044, sample 19); D, E, from Tanzania (VBI 6169, sample 20; VBI 6251, sample 23). Photographs taken by E. Farkas. Scale bars: 1 cm.
Fig. 1 in Detection of Escherichia fergusonii - an emerging pathogen harbouring drug resistant genes from seafood samples of Tamil Nadu, India
Fig. 1 — Gene specific PCR amplification of Escherichia fergusonii (lane 1 – 100 bp DNA ladder, lane 2 – positive control (clinical E. fergusonii), lane 3 – negative control, lane 4 – E011, lane 5 – E060)
Figure 1 in The value of regular monitoring and diverse sampling techniques to assess aquatic non-native species: a case study from Orkney
Figure 1. Locations of the monitoring sites. A: North of Orkney Mainland and northern isles, B: Scapa Flow and southern isles. For corresponding site names refer to Supplementary material Table S1.
Figure 3 in The value of regular monitoring and diverse sampling techniques to assess aquatic non-native species: a case study from Orkney
Figure 3. The total number of sites for which each non-native or cryptogenic species has been recorded for each sampling method for 2016 and 2017. NB: Only species recorded in these two years are reported in this figure. Abbreviations: Cm: Caprella mutica, As: Ascidiella scabra, Bh: Bonnemaisonia hamifera, Sj: Schizoporella japonica, Ce: Corella eumyota, Aa: Ascidiella aspersa, Cp: Colpomenia peregrina, Cf: Codium fragile ssp. fragile, Ti: Tricellaria inopinata, Ah: Asterocarpa humilis, Bs: Botryllus schlosseri, Bl: Botrylloides leachii, Mh: Melanothamnus harveyi, Bf: Bugulina fulva, Dj: Dasysiphonia japonica, Jm: Jassa marmorata, Mi: Monocorophium insidiosum, Ma: Monocorophium acherusicum, Cs: Ctenodrilus serratus, Tj: Telmatogeton japonicus, Pa: Potamopyrgus antipodarum, Cb: Crassicorophium bonellii, Dl: Diplosoma listerianum.
Fig. 5 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil
Fig. 5. Selected specimens from the UFRGS' collection showing the effect of trephic factors. The blocks UFRGS-PV-0453-Ta (A) and UFRGS-PV- 0453-Tb (B) were affected by fragmentation and the several fragments stored with different catalogue numbers.
Fig. 4 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil
Fig. 4. Comparison between the three institutions (A–C) and relationship with sampling pulses over the years. Histograms are aligned and calibrated with regards to timeline. The dashed rectangle in C indicates the period of collaboration between MCN/SEMA-RS and PUC-RS. Abbreviations: Ap, Abdala pulse; BMp, Bertoni-Machado pulse; dp, discovery pulse; PGPp, "Programa Pró-Guaíba" ("Pró-Guaíba" Program) pulse.
Fig. 6 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil
Fig. 6. Selected specimens from the three collections showing effects of sullegic (i.e., during sampling activity), trephic (i.e., from transport to preparation and storage) and "taxonomical" factors. A and B show two mandibles of traversodontid cynodonts, of which previously just two out of ten fragments were considered as such, while the rest as indeterminate fragments. In C, several specimens from a single original association, numbered separately, and now together again, still being able to provide taphonomic information. Some of them (e.g., rib fragments) had been associated with similar others and analyzed with systematic interest, losing the taphonomic information. D shows two parts of the same bone (D1, MCP-PV 4017; D2, MCP-PV 4028), a right femur, encountered already separated and isolated, and catalogued as two different specimens, part in D2 being identified as an indeterminate fragment.
Fig. 3 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil
Fig. 3. Results of the sampling by three institutions (A–C) schematized into the Voorhies Groups (Voorhies 1969, sensu Behrensmeyer 1975; modified), favouring biases in data interpretations and palaeoecological reconstructions. Abbreviations: ifr, indeterminate fragments; ith, isolated teeth; ND, not determinable; VG, Voorhies Groups.
Fig. 2 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil
Fig. 2. Timeline of the sampling activities carried out at the Schoenstatt site by the three institutions.
Fig. 1 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil
Fig. 1. Maps showing position of the Santa Maria Supersequence in South America (southern Brazil, Paraná Basin) (A) and the Rio Grande do Sul State (B). C. Location of the outcrops in which the Santacruzodon AZ has been recognized (stars).
Figure 5 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia
Figure 5: Partial m/z 178, 202 and 228 mass chromatograms showing the distribution of common polycyclic aromatic hydrocarbons (PAH) in the aromatic fraction.
Figure 4 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia
Figure 4: Partial m/z 191 and 217 mass chromatograms used in calculation of sterane/hopane ratio. A ratio of 0.03 indicates that a very significant proportion of overall biomass in the lake was derived from bacteria.
Figure 2 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia
Figure 2: An uncommon example of disarticulation of a fish carcass, collected during an excavation of the Koonwarra Fossil Beds led by Tom Rich in 2013. This specimen was collected approximately 5 m from the bottom of the unit (defined here as the first> 20 cm thick unit of green siltstone/mudstone; the underlying rocks are predominantly cross-bedded, fluviatile arkosic sandstone).
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