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61 results for “tidal effects”
Effect of salt water intrusion on the distribution of invertebrates in a GA tidal freshwater marshes from the GCE Seawater Addition Long-Term Experiment (SALTEx) project.
To characterize the effect of persistent and episodic salt water intrusion on the distribution of common freshwater marsh invertebrates, we monitored the density of adult and juvenile fiddler crabs and snails. Prior to the start of salt water addition treatments, we collected data on the distribution of crabs and snails in all 30 experimental plots (6 replicates of 5 treatments: pressed salt water addition, pulsed salt water addition, fresh water addition, procedural control structure, and control no structure). In each experimental plot, we counted the number of adult and juvenile fiddler crab burrows and snails visible on the marshs surface in a 50cm x 75cm plot (juvenile fiddler crabs were counted in only half of this area) that was positioned in the Northeastern corner of each experimental plot. Initial data was collected in March 2014. A Bentho Torch was used to measure the concentrations of cyanobacteria, diatoms, and green algae on the marsh surface in 2015 and 2016.
Effects of tidal influence on the structure and function of prokaryotic communities in the sediments of a pristine Brazilian mangrove
<p>Mangrove forests are ecosystems that constitute a large portion of the world's coastline and span tidal zones below, between, and above the waterline, while the ecosystem as a whole is defined by the health of these tidal microhabitats. However, we are only beginning to understand tidal zone microbial biodiversity and the role of these microbiomes in nutrient cycling. While extensive research has characterized microbiomes in pristine versus anthropogenically impacted mangroves these have, largely, overlooked differences in tidal microhabitats (sublittoral, intertidal, and supralittoral). Unfortunately, the small number of studies that have sought to characterize mangrove tidal zones have occurred in impacted biomes, making interpretation of the results difficult. Here, we characterized prokaryotic populations and their involvement in nutrient cycling across the tidal zones of a pristine mangrove within a Brazilian Environmental Protection Area of the Atlantic Forest. We hypothesized that the tidal zones in pristine mangroves are distinct microhabitats, which we defined as distinct regions that present spatial variations in the water regime and other environmental factors, and as such, these are composed of different prokaryotic communities with distinct functional profiles. Samples were collected in triplicate from zones below, between, and above the tidal waterline. Using 16S rRNA gene amplicon sequencing, we found distinct prokaryotic communities with significantly diverse nutrient cycling functions, as well as specific taxa with varying contribution to functional abundances between zones. Where previous research from anthropogenically impacted mangroves found the intertidal zone to have high prokaryotic diversity and functionally enriched in nitrogen cycling, we find that the intertidal zone from pristine mangroves have the lowest diversity and no functional enrichment, relative to the other tidal zones. The main bacterial phyla in all samples were Firmicutes, Proteobacteria and Chloroflexi while the main archaeal phyla were Crenarchaeota and Thaumarchaeota. Our results differ slightly from other studies where Proteobacteria is the main phyla in mangrove sediments and Firmicutes make up for only a small percentage of the communities. Salinity and organic matter were the most relevant environmental factors influencing these communities. Bacillaceae was the most abundant family at each tidal zone and showed potential to drive a large proportion of the cycling of carbon, nitrogen, phosphorus and sulfur. Our findings suggest that some aspects of mangrove tidal zonation may be compromised by human activity, especially in the intertidal zone.</p>
Length of day residuals after the removal of tidal friction, glacial isostatic adjustment, and climatic effects: 720 BC to 2020
<p>LOD residuals after the removal of tidal friction, glacial isostatic adjustment, and climatic effects.<br>Time range 720 BC to 2020 AD.<br>Data are with respect to 2020.<br>First column: time in year (negative years mean BC)<br>Second column: LOD residuals in milliseconds<br>Third column: uncertainty of the LOD residuals in milliseconds</p> <p>If you use the data, please cite the following references:<br>1. The increasingly dominant role of climate change on length of day variations: Kiani Shahvandi et al. 2024 published in PNAS, https://doi.org/10.1073/pnas.2406930121<br>2. Length of day variations explained in a Bayesian framework: Kiani Shahvandi et al. 2024 published in GRL<br>3. Addendum 2020 to ‘Measurement of the Earth’s rotation: 720 BC to AD 2015’: Morrison et al. 2021 published in Proceedings of the Royal Society A, https://doi.org/10.1098/rspa.2020.0776</p>
In-stream tidal energy resources in macrotidal non-cohesive sediment environments: effect of morphodynamic changes at two bays in the upper Gulf of California
<p>Project_info: This dataset was obtained during the project CeMIE-Oceano (2017-2021), and was party financed by SENER-CONACyT (contract no. 249795).<br> License: The authors appreciate that users of these data: 1) Contact Vanesa Magar (vmagar@cicese.edu.mx) to follow the uses of the data, and 2) Include the requested acknowledgment (cite using the DOI of this dataset) in any presentations or publications.</p> <p>This dataset includes data used for producing Figures 4,5 and Tables 1,2 of paper "IN-STREAM TIDAL ENERGY RESOURCES IN MACROTIDAL NON-COHESIVE SEDIMENT ENVIRONMENTS: EFFECT OF MORPHODYNAMIC CHANGES AT TWO BAYS IN THE UPPER GULF OF CALIFORNIA" published in<br> Journal of Marine Science and Engineering.</p> <p>Bermúdez-Romero, Anahí; Vanesa Magar; Markus S. Gross; Victor M. Godínez; Manuel López-Mariscal; Julio Candela. In-Stream tidal energy resources in macrotidal non-cohesive sediment environment: Effect ofmorphodynamic changes at two bays in the upper Gulf of California. Journal of Marine Science and Enginnering, 9:411. https://doi.org/10.3390/jmse9040411</p>
Effects of tidal influence on the structure and function of prokaryotic communities in the sediments of a pristine Brazilian mangrove
Open the record for dataset details and reuse information.
Effects of mangrove encroachment on tidal wetland plants and epifauna: 2012-2020
Woody encroachment is occurring in many marsh-mangrove ecotones across the globe, with multiple drivers contributing to an increase in mangrove cover. As a result, marsh plant species are often displaced, resulting in a striking regime shift from grass and forb-dominated habitats to taller, woody vegetation. Our goal was to quantify the bottom-up effects of mangrove woody encroachment into coastal wetlands on associated plant and epifaunal assemblages. In 2012, we established several large (> 20 ha) survey areas at tidal wetland sites with or without black mangroves (Avicennia germinans) on the Texas (USA) coast in the Gulf of Mexico, an area highly susceptible to mangrove encroachment. Starting in 2012, we annually recorded vascular plant cover and diversity and recorded snail (Littoraria irrorata) and fiddler crab (Uca spp.) density along transects perpendicular to the shoreline. Marsh plant species richness was 50% lower at sites with mangroves, and some species, such as Sarcocornia spp. and Distichlis spicata, were relatively rare or absent from sites with mangroves. The wetland plant communities at these sites were relatively unaffected by Hurricane Harvey (August 2017). Epifaunal snails and crabs were common at all sites, with abundances that varied over time. Our results indicate that coastal wetlands dominated by mangroves support different and lower diversity plant assemblages than marsh-dominated areas. These results were largely consistent with the results of a previous manipulative experiment in the same area. Therefore, as woody encroachment continues and mangrove cover gradually increases, this change may lead to complex bottom-up effects on a range of ecosystem processes and services.
Supporting Data for Figures in "Wind Effects on Near and Midfield Mixing in Tidally Pulsed River Plumes"
<p>Supporting data for figures in "Wind Effects on Near and Midfield Mixing in Tidally Pulsed River Plumes" by Preston S. Spicer, Kelly L. Cole, Kimberly D. Huguenard, Daniel G. MacDonald, and Michael M. Whitney. The scientific journal article is published in the Journal of Geophysical Research: Oceans (2022). The main objectives of this study on the tidal Merrimack River plume are (1) quantify the net influence of straining, advection, and mixing on tidal plume stratification under realistic winds and (2) evaluate the mechanisms responsible for variability in mixing within the near and midfield plume regions over multiple tidal pulses under differing winds. A numerical modeling approach is taken. Data are from the Regional Ocean Modeling System (ROMS) results for the study area. Files are in MATLAB data format and are named FigXX_data. mat. Variable names and units correspond to graphed data of each figure in the journal article.</p>
Glacial ice sheet extent effects on tidal mixing and the global overturning circulation - Model Output
<p>This dataset contains the output from the tide model and climate model simulations from the publication Wilmes et al. (2018) "Glacial ice sheet extent effects on tidal mixing and the global overturning circulation" submitted to Paleoceanography. The user is referred to the paper for details on the methodology.</p> <p>Dissipation files:</p> <p>Files beginning with "diss" contain tidal dissipation files calculated from the OTIS tide model output at 1/8th deg using the direct method. Files with the M2 constituent only are in .mat format and extend from 86deg S to 89deg N whereas the files containing all constituents (M2, S2, K1 and O1) are in netcdf format and extend from 90deg S to 90deg N. These files regridded and are used as the climate model tidal forcing.</p> <p>Dissipation file list:</p> <p>diss_dir_ze_1_8_rtp_21kyrBP_i6g_-I1.5_-t_8299008.nc Dissipation for LGM ICE-6G ZE ITdrag 1/8th deg<br> diss_dir_ze_1_8_rtp_21kyrBP_i5g_-I1.5_-t_8299031.nc Dissipation for LGM ICE-5G ZE ITdrag 1/8th deg<br> diss_dir_ze_1_8_rtp_00kyrBP_-I1.5_pdsal_8299034.nc Dissipation for PD ZE ITdrag 1/8th deg</p> <p>diss_dir_js_1_8_rtop_21kyrBP_i6g_-t_-I6.0_7673000.nc Dissipation for LGM ICE-6G JS ITdrag 1/8th deg<br> diss_dir_js_1_8_rtop_21kyrBP_i5g_-t_-I6.0_7672999.nc Dissipation for LGM ICE-5G JS ITdrag 1/8th deg<br> diss_dir_js_1_8_rtop_00kyrBP_-I6.0_7672998.nc Dissipation for PD JS ITdrag 1/8th deg</p> <p>diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk5_NH_lmsk_-I1.5_8299652.mat M2 dissipation for LGM ICE-5G blk1 + NH ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk5_-I1.5_8299534.mat M2 dissipation for LGM ICE-5G blk5 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk4_-I1.5_8299533.mat M2 dissipation for LGM ICE-5G blk4 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk3_-I1.5_8299531.mat M2 dissipation for LGM ICE-5G blk3 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk2_-I1.5_8299530.mat M2 dissipation for LGM ICE-5G blk2 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk1_-I1.5_8299529.mat M2 dissipation for LGM ICE-5G blk1 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_140mSLD_i6g_lmsk_-I1.5_8299543.mat M2 dissipation for PD 140mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_140mSLD_i5g_lmsk_-I1.5_8299542.mat M2 dissipation for PD 140mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_130mSLD_i6g_lmsk_-I1.5_8299544.mat M2 dissipation for PD 130mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_130mSLD_i5g_lmsk_-I1.5_8299541.mat M2 dissipation for PD 130mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_120mSLD_i6g_lmsk_-I1.5_8299545.mat M2 dissipation for PD 120mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_120mSLD_i5g_lmsk_-I1.5_8299540.mat M2 dissipation for PD 120mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_110mSLD_i6g_lmsk_-I1.5_8299546.mat M2 dissipation for PD 110mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_110mSLD_i5g_lmsk_-I1.5_8299539.mat M2 dissipation for PD 110mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_100mSLD_i6g_lmsk_-I1.5_8299547.mat M2 dissipation for PD 100mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_100mSLD_i5g_lmsk_-I1.5_8299538.mat M2 dissipation for PD 100mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_120mSLD_-I1.5_8299537.mat M2 dissipation for PD 120mSLD JS ITdrag 1/8th deg</p> <p> </p> <p>Climate model output:</p> <p>UVic climate model output for all simulations in the paper has been compressed using tar and zip. Each folder contains the output yearly averages (tavg.xxx.nc) which have been used in the results section of the paper. The model input files are located in /data. The tidal input file is in /data/O_tideenrg_green.nc. Furthermore included are restart files (rest.xxx.nc), model code in /code, and the model exectuables.</p> <p>Climate mode output list:</p> <p>preind_tidal_ze_00kyr_rtop_-1.5_8299034_dir.tgz Output from PIC<br> lgm_tidal_ze_21kyr_i6g_rtop_-1.5_8299008_dir_tau_lgm.tgz Output from LGM_i6gT_lgmW<br> lgm_tidal_ze_21kyr_i6g_rtop_-1.5_8299008_dir.tgz Output from LGM_i6gT_pdW<br> lgm_tidal_ze_21kyr_i5g_rtop_-1.5_8299031_dir_tau_lgm.tgz Output from LGM_i5gT_lgmW<br> lgm_tidal_ze_21kyr_i5g_rtop_-1.5_8299031_dir.tgz Output from LGM_i5gT_pdW<br> lgm_tidal_ze_00kyr_rtop_-1.5_8299034_dir_tau_lgm.tgz Output from LGM_pdT_lgmW<br> lgm_tidal_ze_00kyr_rtop_-1.5_8299034_dir.tgz Output from LGM_pdT_pdW</p> <p>preind_tidal_js_1_2_rtp_00kyrBP_-I1.0_7881173.tgz Output from PIC_1_2_rtp82<br> preind_js_1_2_SandS8.2_00kyrBP_82SNcb_-I1.0_8317333_dir.tgz Output from PIC_1_2_SS82<br> lgm_tidal_js_1_2_SandS8.2_00kyrBP_120mSLD_82SNcb_-t_-I1.0_8317331_dir.tgz Output from LGM_1_2_SS82_sldT<br> lgm_tidal_js_1_2_SandS8.2_00kyrBP_82SNcb_-I1.0_8317333_dir.tgz Output from LGM_1_2_SS82_pdT<br> lgm_tidal_js_1_2_rtop_00kyrBP_120mSLD_82SN_-t_-I1.0_8315693.tgz Output from LGM_1_2_rtp82_sldT<br> lgm_tidal_js_1_2_rtop_00kyrBP_82SN_pdsal_-I1.0_8315702.tgz Output from LGM_1_2_rtp82_pdT<br> <br> </p> <p> </p> <p> </p>
ROMS dataset to investigate the effect of tidal forcing
<p>The model used is the Regional Ocean Modelling System (ROMS), a realistic three-dimensional oceanographic model that solves the primitive equations with a stretched terrain-following vertical coordinate. The model domain spans the entire Mozambique Channel eddies as well as the Mozambique Channel outflow into the Agulhas current near 24 S. It encompasses the region 30 E - 50 E and 5 S - 35 S with a 1/12 degree horizontal resolution. The model bathymetry was derived from the Global Earth Bathymetric Chart of the Oceans (GEBCO) 1-resolution dataset. The vertical grid was divided into 40 terrain-following layers.</p> <p>Boundary conditions are extracted from the Simple Ocean Data Assimilation reanalysis data (SODA) v2.1.6 over a 1990-2008 interannual simulations. The daily averaged surface forcing used in the ROMS simulation is derived from the NCEP Climate Forecast System Reanalysis (CFSR).</p> <p>The model is integrated for 18 years and the full 1990-2008 period is analysed at a daily resolution.</p> <p>The "roms_Mmean_tides.nc" is the first experiment conducted including tidal forcing. Barotropic tides were introduced at the model lateral open boundaries using a flather radiation condition to force velocities and sea surface elevations from the TPXO global tidal solution.</p> <p> </p> <p>The "roms_Mmean_notides.nc" is the second experiment conducted without tidal forcing.</p>
A possible formation channel for blue hook stars in globular cluster - II. Effects of metallicity, mass ratio, tidal enhancement efficiency and helium abundance
<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2016MNRAS.463.3449L">Lei et al. (2016)</a>. MESA version 7211.</p> <p>Publication DOI: <a href="https://doi.org/10.1093/mnras/stw2242">10.1093/mnras/stw2242</a></p>
Tidal Effects on Dynamics and Freshwater Transport of a Medium-scale River Plume with Multiple Outlets
<p>Data for submitted paper "Tidal Effects on Dynamics and Freshwater Transport of a Medium-scale River Plume with Multiple Outlets"</p>
The Effect of 6 ml/kg vs 10 ml/kg Tidal Volume on Diaphragm Dysfunction in Critically Mechanically Ventilated Patient
ClinicalTrials.gov study NCT05370248. IPD Sharing: NO. Countries: 1. Publications: 8.
Burrowing crab effects across a tidal marsh successional chronosequence located along Mississippi sound
Open the record for dataset details and reuse information.
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 2DLM simulation results
<p>This <strong>2DLM.zip</strong> file contains the results of in total 12 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>2 D</strong>imensional <strong>L</strong>andcover-type-determined <strong>M</strong>anning (<strong>2DLM</strong>) parameterization. The zip file has 3 folders and 4 files in each folder. Each file is named by a marsh type considered in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 3DFV simulation results
<p>This <strong>3DFV.zip</strong> file contains the results of in total 15 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>3 D</strong>imensional <strong>F</strong>lexible <strong>V</strong>egetation (<strong>3DFV</strong>) parameterization. The zip file has 3 folders and 5 files in each folder. Each file is named by a vegetation aboveground biomass (in g m<sup>-2</sup>) considered in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 3DSV simulation results
<p>This <strong>3DSV.zip</strong> file contains the results of in total 15 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>3 D</strong>imensional <strong>S</strong>tiff<strong> V</strong>egetation (<strong>3DSV</strong>) parameterization. The zip file has 3 folders and 5 files in each folder. Each file is named by a vegetation aboveground biomass (in g m<sup>-2</sup>) in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 2DVM simulation results
<p>This <strong>2DVM.zip</strong> file contains the results of in total 15 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>2 D</strong>imensional <strong>V</strong>egetation-determined <strong>M</strong>anning (<strong>2DVM</strong>) parameterization. The zip file has 3 folders and 5 files in each folder. Each file is named by a vegetation aboveground biomass (in g m<sup>-2</sup>) considered in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Data for "Technical reports: Methods - The Effects of Noise Magnitude and Measurement Resolution on Groundwater Tidal Analysis"
<p>This data for the technical note submitted to <em>Water Resources Research</em>.</p>
Data for "Nonlinear and non-monotonic effect of ocean tidal mixing on exoplanet climates and habitability"
<p>Dataset analysed in order to obtain the results published in "Nonlinear and non-monotonic effect of ocean tidal mixing on exoplanet climates and habitability":</p> <ul> <li>IGCM_data: atmospheric data obtained by using the flux programme on the outcome of the standard FORTE2.0 climate simulations (instellation = 1.00 insolation)</li> <li>MOMA_standard_runs: oceaninc data of the standard FORTE2.0 climate simulations (instellation = 1.00 insolation)</li> <li>MOMA_reduced_runs: oceaninc data of the reduced FORTE2.0 climate simulations (instellation = 0.90, 0.85, 0.80 insolation)</li> </ul> <p>The FORTE2.0 code, compilation instructions and example run scripts, together with all necessary ancillary files, are accessible at <a href="https://doi.org/10.5281/zenodo.4108373">doi.org/10.5281/zenodo.4108373</a> (<a href="https://gmd.copernicus.org/articles/14/275/2021/#bib1.bibx6">Blaker et al.</a>, <a href="https://gmd.copernicus.org/articles/14/275/2021/#bib1.bibx6">2020</a>). </p>
Effect of Low Tidal Ventilation on Intraoperative Bleeding in Laparoscopic Major Hepatectomy
ClinicalTrials.gov study NCT05490147. IPD Sharing: Not stated. Countries: 1. Publications: 11.
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