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1,552 results for “moorings”
Resultados com a Vizinhança de Moore e Von Neumann
<p>Análises realizada em Novembro de 2021 com a finalidade de comparar os resultados obtidos pelo autômato celular, com base no tipo de vizinhança.</p> <p>Link do AC: https://github.com/danielbonattoseco/msfu_ppgihd/blob/main/automato_celular_multisimulacao.py</p>
Reactive nitrogen fluxes over peatland (Bourtanger Moor) and forest (Bavarian Forest National Park) using micrometeorological measurement techniques
<p>Within the framework of the research projects NITROSPHERE and FORESTFLUX, field campaigns were carried out to investigate the biosphere-atmosphere exchange of reactive nitrogen compounds. We applied novel fast-response instruments in eddy-covariance setups for continuous determination of surface ammonia (NH<sub>3</sub>) and total reactive nitrogen (<span class="math-tex">\(\Sigma\)</span>N<sub>r</sub>) fluxes using two different analytical devices. While high-frequency measurements of ammonia were measured with a quantum cascade laser absorption spectrometer (QCL), a custom-built converter called TRANC coupled to a chemiluminescence detector was used for the determination of total reactive nitrogen. High-resolution data of surface-atmosphere fluxes of reactive compounds are still scarce, but highly desired for testing and validating local inferential and larger scale models. We provide access to campaign data including concentrations, fluxes and ancillary measurements of meteorological data. Campaigns were conducted in natural (forest) and semi-natural (peatland) ecosystem types. The published datasets stress the importance of recent advancements in laser spectrometry and help improve our understanding of the temporal variability of surface-atmosphere exchange in different ecosystems, thereby providing validation opportunities for inferential models simulating the exchange of reactive nitrogen.</p>
Herbarium specimen image of Psychotria hollandiae var. whitei (Moore) Sohmer, part of the collection of Natural History Museum London
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Intermediate data products for: Moored Turbulence Measurements using Pulse-Coherent Doppler Sonar (Zippel et al. 2021, Journal of Atmospheric and Oceanic Technology)
<p>This repository contains some of the intermediate data products needed to reproduce the results in the <em>Journal of Atmospheric and Oceanic Technology</em> article "Moored Turbulence Measurements using Pulse-Coherent Doppler Sonar" by S.F. Zippel, J. T. Farrar, C. J. Zappa, U. Miller, L. St. Laurent, T. Ijichi, R. A. Weller, L. McRaven, S. Nylund, and D. Le Bel. Specifically, this material should allow reproduction of Figures 3, 5-7, 12 and 13. Reproduction of Figures 8-11 also requires data from associated glider deployments nearr the SPURS-1 mooring, which may be requested from co-author L. St. Laurent.</p> <p>Code to do the analysis and make the plots is here: https://github.com/zippelsf/MooredTurbulenceMeasurements</p> <p>Matlab data files:</p> <p>(1) 677404_burst1865.mat</p> <p>Single-burst data used for the example spectral fit in Figure 7. The burst was collected during the SPURS-1 project at 21.5m depth. The data collection and processing methods are described in detail in Section 2. </p> <p>(2) 811604_burst0510.mat (Single-burst data used in the unwrapping example, Figure 5)</p> <p>(3) 8116_dissipation_timeseries.mat (Used for associated ancillary data in Figure 6)</p> <p>(4) 913411_burst2879.mat (Single-burst data, used for ancillary data to make Figure 3).</p> <p>(5) BuoyancyFlux_b.mat</p> <p>Ocean buoyancy flux estimates for SPURS-2 dataset, created from the 1-hr "met" and "flux" files available on the UOP website, and using the Gibbs SeaWater (GSW) toolbox to estimate "alpha" and "beta". The estimated buoyancy fluxes were used for Figure 12.</p> <p>(6) BuoyancyFlux_c.mat</p> <p>Ocean buoyancy flux estimates for SPURS-1 dataset, created from the 1-hr "met" and "flux" files available on the UOP website, and using the Gibbs SeaWater (GSW) toolbox to estimate "alpha" and "beta". The estimated buoyancy fluxes were used for Figure 12.</p> <p>(7) SPURS1_dissipation_grid_v1d.mat</p> <p>Gridded TKE dissipation rates for SPURS-1 dataset. Processing of these data is described extensively in Section 2. Data used in Figures 8-13. Dissipation rates also available on NASA's PODAAC.</p> <p>(8) spurs1_met_1hr.mat (Processed met data from SPURS-1 mooring. Also available on WHOI's UOP website.)</p> <p>(9) SPURS2_dissipation_grid_v1c.mat</p> <p>Gridded TKE dissipation rates for SPURS-2 dataset. Processing of these data is described extensively in Section 2. Data used in Figures 12. Dissipation rates also available on NASA's PODAAC.</p>
A Stitch in Time: Combining More than Two Decades of Mooring Data from the Central Oregon Shelf
<p>The highly biologically productive northern California Current, which includes the Oregon continental shelf, is an archetypal eastern boundary region with summertime upwelling driven by prevailing equatorward winds and wintertime downwelling driven by prevailing poleward winds. Between 1960 and 1990, monitoring programs and process studies conducted off the central Oregon coast advanced the understanding of many oceanographic processes, including coastal trapped waves, seasonal upwelling and downwelling in eastern boundary upwelling systems, and seasonal variability of coastal currents. Starting in 1997, the U.S. Global Ocean Ecosystems Dynamics – Long Term Observational Program (GLOBEC-LTOP) continued those monitoring and process study efforts by conducting routine CTD (Conductivity, Temperature, and Depth) and biological sampling survey cruises along the Newport Hydrographic Line (NHL; 44.652°N, 124.1 – 124.65°W), located west of Newport, Oregon. Additionally, GLOBEC-LTOP maintained a mooring slightly south of the NHL, nominally at 44.64°N, 124.30°W, on the 81-meter isobath. This location is referred to as NH-10, as it is located 10 nautical miles or 18.5 km west of Newport. A mooring was first deployed at NH-10 in August 1997. This subsurface mooring collected water column velocity data using an upward-looking acoustic Doppler current profiler. A second mooring with a surface expression was deployed at NH-10 starting in April 1999. This mooring included velocity, temperature and conductivity measurements throughout the water column as well as meteorological measurements. GLOBEC-LTOP and the Oregon State University (OSU) National Oceanographic Partnership Program (NOPP) provided funding for the NH-10 moorings from August 1997 to December 2004. Since June 2006, the NH-10 site has been occupied by a series of moorings operated and maintained by OSU with funding from the Oregon Coastal Ocean Observing System (OrCOOS), the Northwest Association of Networked Ocean Observing Systems (NANOOS), the Center for Coastal Margin Observation & Prediction (CMOP), and most recently the Ocean Observatories Initiative (OOI). While the objectives of these programs differed, each program contributed to long-term observing efforts with moorings routinely measuring meteorological and physical oceanographic variables. This article provides a brief description of each of the six programs, their associated moorings at NH-10, and our efforts to combine over twenty years of temperature, practical salinity, and velocity data into one coherent, hourly averaged, quality-controlled data set. Additionally, the data set includes best-fit seasonal cycles calculated at a daily temporal resolution for each variable using harmonic analysis with a three-harmonic fit to the observations.</p>
Moored echo and turbidity measurements in the Southern Adriatic Sea at mooring site BB and FF, March 2012-June 2020
<p>This data set includes four files (CSV format) containing observational data from two oceanographic moorings, BB and FF, located in the Southern Adriatic Sea from the period between March 2012 and June 2020. The stand-alone moorings are equipped with a 300 kHz ADCP-RDI system, which measures currents along the last 100 meters of the water column and a CTD recorder equipped with SeaPoint turbidity meter sensor located approximatively 10 m above the bottom. The turbidity sensor measures in a range of 0-25 FTU. Moorings were configured and maintained for continuous long-term monitoring following the approach of the CIESM Hydrochanges Program (www.ciesm.org/marine/programs/hydrochanges.html). The moorings are currently operational as from 2021 they have joined the southern Adriatic Sea submarine observatory system of the EMSO-ERIC European Consortium. The data were subjected to quality control (QC) and the coding numbers used, shown in a dedicated column, follow the SeaDataNet L20 measurement qualifiers flags. QC applied on echo data consists of detecting signal anomalies due to interactions with the seafloor and identifying if the signal falls below a minimum threshold for which the value is no longer considered reliable. For turbidity data, QC is addressed to the detections of possible spikes, anomalies, and sensor saturation in the recordings.</p>
MCR LTER: North Shore Moored pH sensors, SeaFET 2012-2015 and SAMI 2015-ongoing
This dataset contains only the sensor data and only from the forereef mooring on the north shore. Full carbonate chemistry data derived from water samples where available are in a separate dataset. Sensor data from other locations are in a separate dataset. Near continuous measurements of seawater pH are made at two locations on the north shore of Moorea. On the fore reef, instruments are attached to a mooring cable at 10-m depth at LTER0. On the back reef, instruments are bottom-mounted at a location approximately 400 m landward of the reef crest at LTER0, such that pH of the same water mass is measured at both locations as water moves onto the reef crest and across the back reef (Hench et al. 2008). One SeaFET instrument and one SAMIpH instrument are deployed at each location. Measurements of pH by the SeaFETs are made every 30 minutes; pH measurements by the SAMIs are made every hour. SeaFET data (on the total pH scale) are output using both a constant salinity value (35 PSU) and using salinities measured in situ, if available. SeaFETs are calibrated using independent measures of pH from water samples taken adjacent to the instruments prior, during, and after deployment (using the m-cresol purple method). SAMIs are returned to the manufacturer each year for calibration. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2019). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
MCR LTER: Coral Reef: Ocean Currents and Biogeochemistry: Moored Thermistor String Data - CBYTS
A vertically moored thermistor string sampled year-round on the reef at Cook's Bay in Moorea, French Polynesia. Sampling began in 2005 and ended in August 2011. All data have been interpolated onto a 20 min grid. Thermistors were spaced vertically along the mooring line 4, 8, 12, 16, and 20 meters above the bottom. Pressure measurements are also provided from two of the instruments typically located at 4 and 20 meters above the bottom.
SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Purisima Mooring (PUR), 1999-2016
ADCP (Currents), CTD (Hydrography) and Optics data (Fluorescence, Beam Attenuation and Volume Scattering Function) were collected at La Purisima (site ID: PUR), north of Point Conception. Data have been interpolated to a 20 minute interval. ADCP data are binned at a 1.0 meter interval, measured as height from the bottom to a maximum of 16 bins. All bins may not be filled, and in some cases, data from bins technically above the surface are included. VSF data are available at angles, 100, 125 and 150 degrees. CTD parameters include Pressure, Temperature, Conductivity, Salinity, Density and Fluorescence. The CTD array is located approximately 4.5 meters from the surface, and there are additional temperature thermistors near the CTD array, at the bottom, and mid way between these two.
Figure 3 in Seasonal changes in the population structure of dominant planktonic copepods collected using a sediment trap moored in the western Arctic Ocean
Figure 3. Seasonal changes in sea ice concentration, surface chl. a (from satellite) and total mass flux (a), and daylight hours (b) at St. NAPt from October 2010 to September 2012.
Figure 8 in Seasonal changes in the population structure of dominant planktonic copepods collected using a sediment trap moored in the western Arctic Ocean
Figure 8. Seasonal changes in sea ice concentration, daylight hours, chl. a, and total mass flux from January to December (upper panel). The ecological characteristics of the five dominant copepods (lower panel). The open and solid bars indicate the high abundance and reproductive periods for each species, respectively.
Figure 4 in Purification and Characterization of Midgut α-Glucosidase from Larvae of the Rice Green Caterpillar, Naranga aenescens Moore
Figure 4. Irreversible thermoinactivation of the N. aenescens α-glucosidase at 35 (▲), 40 (■) and 45 °C (•). Different letters indicate that the relative activity of enzymes is significantly different from each other by Tukey's test (P <0.05).
Figure 3 in Purification and Characterization of Midgut α-Glucosidase from Larvae of the Rice Green Caterpillar, Naranga aenescens Moore
Figure 3. Effect of pH (a) and (b) temperature on the activity of N. aenescens α -glucosidase.Different letters indicate that the relative activity of enzymes is significantly different from each other by Tukey's test (P <0.05).
Figure 2 in Purification and Characterization of Midgut α-Glucosidase from Larvae of the Rice Green Caterpillar, Naranga aenescens Moore
Figure 2. Analysis of purified αglucosidase by SDS-PAGE. Lanes 1 and 2: Active fraction after ion exchange chromatography stained with histochemical and general staining, respectively; Lane 3: Molecular weight markers.
Figure 1 in Purification and Characterization of Midgut α-Glucosidase from Larvae of the Rice Green Caterpillar, Naranga aenescens Moore
Figure 1. Elution profile of N. aenescens α-glucosidase on DEAE-sepharose column. The active peak is indicated. Arrow is pointing to the fifth peak, eluted around 0.4 M salt, corresponding to the α-glucosidase activity.
Temperature and Salinity mooring data from Hakefjorden 2015
<p>A mooring with 5 Seabird SBE37 CT loggers and 4 SBE56 T loggers was placed in the Hakefjord on the Swedish west coast, postition N57.998, E11.770, at 28 m depth, from 2015-01-26 to 2015-05-28. The instruments were set up to log data with 10 min intervals.</p> <p><strong>Files:</strong></p> <p>The <strong>RawData.zip</strong> file contains rawdata from the instruments. The nominal depths of the instruments are:</p> <p>SBE37sm-rs232_03706476_2015_05_28.cnv : 27.5 m</p> <p>SBE05601433_2015-05-28: 25 m</p> <p>SBE05601434_2015-05-28: 20 m</p> <p>SBE37sm-rs232_03706947_2015_05_28.cnv: 17 m</p> <p>SBE05601432_2015-05-28: 14 m</p> <p>SBE37sm-rs232_03706475_2015_05_28.cnv: 12 m</p> <p>SBE05601442_2015-05-28: 10 m</p> <p>SBE37sm-rs232_03706474_2015_05_28.cnv: 8 m</p> <p>SBE37sm-rs232_03706944_2015_05_28.cnv: 4.5 m</p> <p>The <strong>mooring_hake.mat</strong> file is a matlab file that contains processed data in the shape of a struct array DATA with fields:</p> <p>t: time (Matlab datenum, number of decimal days since January 0, 0000)</p> <p>T: Temperature (ITS-90, deg. C)</p> <p>C: Conductivity (S/m)</p> <p>P: Pressure (db)</p> <p>S: Practical Salinity (PSU)</p> <p>Znom: Nominal depth, i.e. approximate depth for constant sea level and vertical mooring line (m)</p> <p><strong>Funding:</strong></p> <p>The observations were made possible with funding from the Fyrbodal association of local authorities.</p> <p> </p>
Figure 2 in First record of Lestranicus transpectus (Moore, 1879) and Graphium macareus (Godart, 1819) (Insecta: Lepidoptera: Papilionoidea) in Bangladesh
Figure 2. Lestranicus transpectus basking on the leaf (underside view). / Lestranicus transpectus tomando el sol sobre una hoja (vista inferior).
Figure 1 in First record of Lestranicus transpectus (Moore, 1879) and Graphium macareus (Godart, 1819) (Insecta: Lepidoptera: Papilionoidea) in Bangladesh
Figure 1. New locality record of Lestranicus transpectus and Graphium macareus in Bangladesh. / Nuevos registros de localidad de Lestranicus transpectus y Graphium macareus en Bangladesh.
Figure 3 in First record of Lestranicus transpectus (Moore, 1879) and Graphium macareus (Godart, 1819) (Insecta: Lepidoptera: Papilionoidea) in Bangladesh
Figure 3. Graphium macareus puddling on the stone (underside view). / Graphium macareus alimentandose sobre una piedra (vista inferior).
Resultados com a Vizinhança de Moore e Von Neumann
<p>Análises realizada em Novembro de 2021 com a finalidade de comparar os resultados obtidos pelo autômato celular, com base no tipo de vizinhança.</p>
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OpenNeuro
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