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1,392 results for “accumulation”
accumulator 600ml empty p0 20bar p1 40bar
<p>This is a dataset publication with multiple measurements seperated into different .mat files created at the Institut für Fluidsystemtechnik (Cair of Fluid Systems) at the Technische Universität Darmstadt (Technical University of Darmstadt (https://ror.org/05n911h24)).<br><br>The experimental data include dynamic characterisations of gas accumulators. The data was determined on a dynamic uni-axial test machine. Each measurement-file contains the measurement at a monofrequency harmonic excitation.<br><br>This dataset publication also contains, in addition to the measurement files, an RDF (Resource Description Framework) 'METADATA.ttl' file in the RDF Turtle format containing some metadata of the measurements.<br>The structure of the measurement- and RDF-data represent a interim stage on the way to FAIR measurement data and is therefore to be considered as work in progress.<br><br>The different measurement files in the .mat format contain different time series and corresponding metadata. The various measurements differ in various parameters (e.g. excitation frequency, excitation amplitude, ambient temperature, etc.).<br>The used RDF information model does not yet cover all the metadata stored in the various .mat measurement files.<br><br>If you have further questions, please feel free to contact info*AT*fst.tu-darmstadt.de .<br>Thank you.<br><br>Yours sincerely<br><br><br><br><strong>LICENSE NOTICE</strong>:<br>This dataset is licensed under the 'CC-BY-4.0' License (https://creativecommons.org/licenses/by/4.0/)</p>
accumulator 600ml empty p0 40bar p1 120bar
This is a dataset publication with multiple measurements seperated into different .mat files created at the Institut für Fluidsystemtechnik (Cair of Fluid Systems) at the Technische Universität Darmstadt (Technical University of Darmstadt (https://ror.org/05n911h24)).<br> <br> The experimental data include dynamic characterisations of gas accumulators. The data was determined on a dynamic uni-axial test machine. Each measurement-file contains the measurement at a monofrequency harmonic excitation.<br> <br> This dataset publication also contains, in addition to the measurement files, an RDF (Resource Description Framework) 'METADATA.ttl' file in the RDF Turtle format containing some metadata of the measurements.<br> The structure of the measurement- and RDF-data represent a interim stage on the way to FAIR measurement data and is therefore to be considered as work in progress.<br> <br> The different measurement files in the .mat format contain different time series and corresponding metadata. The various measurements differ in various parameters (e.g. excitation frequency, excitation amplitude, ambient temperature, etc.).<br> The used RDF information model does not yet cover all the metadata stored in the various .mat measurement files.<br> <br> If you have further questions, please feel free to contact info*AT*fst.tu-darmstadt.de .<br> Thank you.<br> <br> Yours sincerely<br> <br> <br> <br> <b>LICENSE NOTICE</b>:<br> This dataset is licensed under the 'CC-BY-4.0' License (https://creativecommons.org/licenses/by/4.0/)
accumulator 600ml empty p0 40bar p1 80bar
This is a dataset publication with multiple measurements seperated into different .mat files created at the Institut für Fluidsystemtechnik (Cair of Fluid Systems) at the Technische Universität Darmstadt (Technical University of Darmstadt (https://ror.org/05n911h24)).<br> <br> The experimental data include dynamic characterisations of gas accumulators. The data was determined on a dynamic uni-axial test machine. Each measurement-file contains the measurement at a monofrequency harmonic excitation.<br> <br> This dataset publication also contains, in addition to the measurement files, an RDF (Resource Description Framework) 'METADATA.ttl' file in the RDF Turtle format containing some metadata of the measurements.<br> The structure of the measurement- and RDF-data represent a interim stage on the way to FAIR measurement data and is therefore to be considered as work in progress.<br> <br> The different measurement files in the .mat format contain different time series and corresponding metadata. The various measurements differ in various parameters (e.g. excitation frequency, excitation amplitude, ambient temperature, etc.).<br> The used RDF information model does not yet cover all the metadata stored in the various .mat measurement files.<br> <br> If you have further questions, please feel free to contact info*AT*fst.tu-darmstadt.de .<br> Thank you.<br> <br> Yours sincerely<br> <br> <br> <br> <b>LICENSE NOTICE</b>:<br> This dataset is licensed under the 'CC-BY-4.0' License (https://creativecommons.org/licenses/by/4.0/)
accumulator 600ml empty p0 20bar p1 60bar
This is a dataset publication with multiple measurements seperated into different .mat files created at the Institut für Fluidsystemtechnik (Cair of Fluid Systems) at the Technische Universität Darmstadt (Technical University of Darmstadt (https://ror.org/05n911h24)).<br> <br> The experimental data include dynamic characterisations of gas accumulators. The data was determined on a dynamic uni-axial test machine. Each measurement-file contains the measurement at a monofrequency harmonic excitation.<br> <br> This dataset publication also contains, in addition to the measurement files, an RDF (Resource Description Framework) 'METADATA.ttl' file in the RDF Turtle format containing some metadata of the measurements.<br> The structure of the measurement- and RDF-data represent a interim stage on the way to FAIR measurement data and is therefore to be considered as work in progress.<br> <br> The different measurement files in the .mat format contain different time series and corresponding metadata. The various measurements differ in various parameters (e.g. excitation frequency, excitation amplitude, ambient temperature, etc.).<br> The used RDF information model does not yet cover all the metadata stored in the various .mat measurement files.<br> <br> If you have further questions, please feel free to contact info*AT*fst.tu-darmstadt.de .<br> Thank you.<br> <br> Yours sincerely<br> <br> <br> <br> <b>LICENSE NOTICE</b>:<br> This dataset is licensed under the 'CC-BY-4.0' License (https://creativecommons.org/licenses/by/4.0/)<br>
accumulator 1300ml empty p0 40bar p1 60bar
This is a dataset publication with multiple measurements seperated into different .mat files created at the Institut für Fluidsystemtechnik (Cair of Fluid Systems) at the Technische Universität Darmstadt (Technical University of Darmstadt (https://ror.org/05n911h24)).<br> <br> The experimental data include dynamic characterisations of gas accumulators. The data was determined on a dynamic uni-axial test machine. Each measurement-file contains the measurement at a monofrequency harmonic excitation.<br> <br> This dataset publication also contains, in addition to the measurement files, an RDF (Resource Description Framework) 'METADATA.ttl' file in the RDF Turtle format containing some metadata of the measurements.<br> The structure of the measurement- and RDF-data represent a interim stage on the way to FAIR measurement data and is therefore to be considered as work in progress.<br> <br> The different measurement files in the .mat format contain different time series and corresponding metadata. The various measurements differ in various parameters (e.g. excitation frequency, excitation amplitude, ambient temperature, etc.).<br> The used RDF information model does not yet cover all the metadata stored in the various .mat measurement files.<br> <br> If you have further questions, please feel free to contact info*AT*fst.tu-darmstadt.de .<br> Thank you.<br> <br> Yours sincerely<br> <br> <br> <br> <b>LICENSE NOTICE</b>:<br> This dataset is licensed under the 'CC-BY-4.0' License (https://creativecommons.org/licenses/by/4.0/)
Fig. 4 in The dual impact of Ostreopsis cf. ovata on Mytilus galloprovincialis and Paracentrotus lividus: Toxin accumulation and pathological aspects Abstract
Fig. 4: Health status of sea urchins (avg±SDV, n = 4 animals) exposed to Ostreopsis cf. ovata (strain D483) for five days at different cell densities. Health index 1 corresponds to all four sea urchins alive after five days of exposure, 0 to all sea urchins dead in four days, intermediate values to different degrees of damage such as spine folded, partial and total spine loss and death in five days.
Fig. 6 in The dual impact of Ostreopsis cf. ovata on Mytilus galloprovincialis and Paracentrotus lividus: Toxin accumulation and pathological aspects Abstract
Fig. 6: Sea-urchin health status (avg±SDV, n = 4) after exposure to whole Ostreopsis cf. ovata cultures (strain 00APS0810-S1) or toxins extracted from cultures of the same cell density.
Fig. 2 in The dual impact of Ostreopsis cf. ovata on Mytilus galloprovincialis and Paracentrotus lividus: Toxin accumulation and pathological aspects Abstract
Fig. 2: Feeding of Mytilus galloprovincialis on Ostreopsis cf. ovata in a 72 h experiment. Weight-normalised ingested cells (avg±SDV) at different time intervals. Fresh microalgal cultures (2.17±0.23·103 cells ml-1) were provided every 24 h. Of the 10 animals of each replicate, 7-8 died at the beginning of the second day while the survivors were toxic (Table 1).
Fig. 5 in The dual impact of Ostreopsis cf. ovata on Mytilus galloprovincialis and Paracentrotus lividus: Toxin accumulation and pathological aspects Abstract
Fig. 5: Sea urchin health status (avg±SDV, n = 4) upon exposure to entire or sonicated Ostreopsis cf. ovata cultures (strain D483) of the same initial cell density.
Fig. 3 in The dual impact of Ostreopsis cf. ovata on Mytilus galloprovincialis and Paracentrotus lividus: Toxin accumulation and pathological aspects Abstract
Fig. 3: Feeding of Paracentrotus lividus (avg±SDV, n = 15) on Ostreopsis cf. ovata epiphytic on the red alga Asparagopsis taxiformis in five experiments lasting five days each. Experiment 4b was performed with the same animals as 4a, which were given a second stock of seaweeds after a two- day interval. Macroalgae (55-131 g) were completely eaten in all cases. Four additional experiments at low epiphytic cell density (<3.4·103 cells g-1) are not represented. Asterisks indicate the experiments in which sea urchins were weakly toxic at the mouse bioassay (Supplementary Material, Table S2).
Fig. 1 in The dual impact of Ostreopsis cf. ovata on Mytilus galloprovincialis and Paracentrotus lividus: Toxin accumulation and pathological aspects Abstract
Fig. 1: Feeding of Mytilus galloprovincialis in six 24 h experiments with animals of different sizes exposed to different Ostreopsis cf. ovata cell concentrations. A) Mussel wet weight (WW) and O. cf. ovata cell density at the beginning of each experiment (avg±SDV). B) Weight-normalised ingested cells (avg±SDV). The asterisks indicate experiments in which some or all replicates were toxic to the mouse bioassay (Supplementary Material, Table S1).
Figure 2 in Variation in glyphosate effects and accumulation in emergent macrophytes
Figure 2. Concentration-response relationships for Phragmites australis (top graph), Typha latifolia (middle graph) and Typha × glauca (bottom graph) based on the proportion of dead shoots observed 27 days post-exposure to 0–8% glyphosate (Roundup WeatherMAX® formulation). Each treatment was replicated seven times per taxa, except T. latifolia at 5% (n = 6). Measured concentrations were used for modelling (Table S2). Grey points represent the replicates and are darker when points overlap; grey shading illustrates the 95% confidence bounds of the concentration-response model; solid red dots represent LC50 estimates; LC50 estimates on top left corner of each graph are given with lower and upper 95% confidence limits.
Figure 3 in Variation in glyphosate effects and accumulation in emergent macrophytes
Figure 3. Average residues of glyphosate (left) and aminomethylphosphonic acid (AMPA; right) detected in above-ground plant tissues of the three macrophytes Phragmites australis (PA), Typha latifolia (TL) and Typha × glauca (TXG) 27 days post-exposure to 8% and 5% glyphosate solutions (Roundup WeatherMAX® formulation). Four replicates per taxon and treatment, except for TL at 5% (n = 3); error bars represent standard errors of the means; letters a-b (left plot) and c-d (right plot) indicate significant differences in residues among taxa. Note y-axes have different scales.
Figure 1 in Variation in glyphosate effects and accumulation in emergent macrophytes
Figure 1. Representative replicates of the control treatment (tap water) and glyphosate (Roundup WeatherMAX® formulation) concentrations of 8% (43.2 g L-1) and 5% (27.0 g L-1) on day 4, 11 and 27 post-exposure. Each replicate (blue bucket) contained one pot of Typha latifolia (in the back), one pot of Typha × glauca (in the front), and one pot of Phragmites australis (on the left), and was sprayed with 50 mL of the respective treatment solution evenly covering aboveground plant tissues. Photos by Verena Sesin.
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).
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