Find research datasets worth reusing

opencc-by-4.0Jan 2023View details →

Quantifying flow velocities in river deltas via remotely sensed suspended sediment concentration

bathymetry and model velocity field

opencc-by-4.0Jan 2023View details →

Lena Delta habitat disturbance regimes

In the Lena Delta, mainly annual flooding, but also local rapid thaw processes on the land surface of the terraces with ice-rich permafrost, result in disturbance regimes forming distinct habitat types. The floodplains experience seasonal flooding as a regularly occurring disturbance in spring after ice-break up (the spring flood). Very high disturbance regimes due to the most intense scour, erosion and sedimentation result in barren sandbanks or in early-stage plant communities equalling the ‘sparsely vegetated’ habitat class. ‘moist to wet sedge communities’, ‘wet sedge communities’, ‘moist equisetum and shrubs’, ‘dry shrub communities’, ‘dry grass to wet sedge communities’ forms the mid to advanced successional stages on the floodplain (high disturbance regime) with shifting habitat types according to Stanford et al., (2005) and Driscoll and Hauer, (2019). In contrast to the floodplain, habitats on the first, second and third delta terraces are less extensively disturbed (low disturbance) allowing the development of the typical mature-state tundra plant communities: ‘polygonal tundra complex’, ‘tussock tundra’, and ‘dwarsh shrub herb communities’. However, locally, high disturbance occurs by rapid thaw processes of ice-rich permafrost (first and third delta terraces) with habitats characterized by mid to advanced-stage plant succession: ‘moist to wet sedge communities’, ‘wet sedge communities’, ‘dry shrub communities’, and ‘dry grass to wet sedge’ communities. Very high disturbance due to intense rapid thaw processes occurs at eroding cliffs and lake margins, in steep valleys and actively developing gullies resulting in barren surfaces with rims of sparsely vegetated transition zones. Given the link between plant communities and flooding as well as rapid thaw processes, we characterised the disturbance regimes for each habitat class (see legend in table) and provide an upscaling product in the form of a disturbance map for the entire Lena Delta.   References:  Stanford, J. A., Lorang, M. S., and Hauer, F. R.: The shifting habitat mosaic of river ecosystems, SIL Proceedings, 1922-2010, 29, 123-136, 10.1080/03680770.2005.11901979, 2005. Driscoll, K. P. and Hauer, F. R.: Seasonal flooding affects habitat and landscape dynamics of a gravel-bed river floodplain, Freshwater Science, 38, 510-526, 10.1086/704826, 2019.

opencc-zeroMar 2023View details →

Supplementary material 3 from: Gomez Cardona CJ, Moreno JY, Contreras A, Sanchez-Nuñez DA, Arciniegas Moreno N, Guerrero D, Viloria Maestre EA, Lopez Navarro J (2023) Accounting of marine and coastal ecosystems at the Ramsar Site, Estuarine Delta System of the Magdalena River, Ciénaga Grande de Santa Marta, Colombia. One Ecosystem 8: e98852. https://doi.org/10.3897/oneeco.8.e98852

Combined condition account for the mangrove ecosystem types present in the CGSM Ramsar site (2017-2019)

opencc-zeroMar 2023View details →

Supplementary material 4 from: Gomez Cardona CJ, Moreno JY, Contreras A, Sanchez-Nuñez DA, Arciniegas Moreno N, Guerrero D, Viloria Maestre EA, Lopez Navarro J (2023) Accounting of marine and coastal ecosystems at the Ramsar Site, Estuarine Delta System of the Magdalena River, Ciénaga Grande de Santa Marta, Colombia. One Ecosystem 8: e98852. https://doi.org/10.3897/oneeco.8.e98852

Combined condition account for the coastal lagoons ecosystem types present in the CGSM Ramsar site (2017-2019)

opencc-by-4.0Mar 2023View details →

Sediment gravity-flow drives the buildup of the modern Huanghe (Yellow River) delta front

The dataset contains the output data of the numerical model and the source code for processing the data. 1        Model validation  The simulation time period covers 1996 to 2010 CE for H1, 1986 to 2009 CE for H2, and 1986 to 2008 CE for H3. 1.1       The grain size distribution of the H1-H3 profile .grain 1.2       The seafloor topography of the H1-H3 profile .bin   2        Sensitivity numerical experiments 2.1       The grain size distribution of the YD01-YD03 cores .grain We selected three cores (YD01, YD02, and YD03) at the H2 profile, simulated for the period of 1986-2006. 2.2       The seafloor topography of the H2 profile .bin The model runs over timespans of 10 years (1986 to 1996), 20 years (1986 to 2006), and 30 years (1986 to 2015). 2.3       The measured seafloor topography of the H2 profile .xlsx 2.4       Original experimental data related to soil core samples .xlsx   3        The plot_ grain.m and plot_ elevation.m file is used to process and analyze grain size distribution and topography, respectively

opencc-by-4.0Apr 2023View details →

Research Data for "Vertical Leaching of Paleo-Saltwater in a Coastal Aquifer–Aquitard System of the Pearl River Delta"

Supplementary material includes one supplemental text on analytical derivation, two supplemental figures, and the measured data of radium and radon.

opencc-by-4.0May 2023View details →

Dataset for JGR Atmospheres manuscript " An Observational Constraint of VOC Emissions for Air Quality Modeling Study in the Pearl River Delta Region"

The file includes hourly observations of ground-level ozone (O3) and nitrogen dioxide (NO2) concentrations at 56 environmental monitoring stations in the Pearl River Delta (PRD) region in China during June 2018. The units are in μg/m3.

dryad32/100

Data from: 28 years of vegetation standing crop data from the Mississippi river delta

Deltaic landscapes go through cycles of birth, growth, decline, to death governed by intertwined geological, biological, and ecological processes. This study tracks deltaic lobes in the Balize Mississippi River Delta, Louisiana, USA over ~3 decades (study years 1984–2012). Hydrologic and geomorphic patterns and those which sustain patterns to wetland plant richness, diversity, and biomass are described. Plant diversity and biomass were modeled by nMDS ordination. Taxa (53) were harvested and dried (116,706g) from 965 (0.25 m2) plots and divided into three groups: I. 4 Foundation Species; 78.9% of total harvest; II. 9 Pioneer Species; 13.6% of total harvest; III. All Other taxa; 7.5% of total harvest (8 Miscellaneous Grasses, 8 Miscellaneous Sedges, 24 Miscellaneous Herbs). Autogenic/allogenic processes (sedimentation, subsidence, plant colonization, succession events) affect composition and biomass. Eleven important species were identified. Taxa's richness increased on mudflats during primary succession (15 to 25 taxa per site), then declined to fewer than 5 per site. Niche-space theory explained patterns to community change. There was similar total biomass/yr (~500 g/m2/yr) at study sites. Quantile regression analyses showed water quality and quantity of the Mississippi River influenced biomass especially spring-time waters. Stochastic events (storms, herbivory, salt-burn, flood-pulses) impacted biomass. Long-term studies like this are required in a future of climate unknowns.

opencc-zeroSep 2023View details →

dryad32/100

Sedimentary and geochemical data from JRD-S core at Zhuoshui River Delta, Taiwan

The Zhuoshui River drains the Taiwan orogen westward and is the largest river in terms of sediment discharge in Taiwan. The river-deposited fluvial successions were >50 m thick during the Last Glacial in its present delta position, and these successions are thicker than even the Holocene deltaic/estuarine succession. The data sets contain the sedimentary and geochemical data from the Last Glacial fluvial and the present delta sediments within JRD-S core at Zhuoshui River Delta. The data include grain size, carbon proxies, mass accumulation rate of total organic carbon (MAR-TOC), n-alkane biomarkers, and ratios of lithic and higher plant n-alkane in the sediments within the JRD-S core. The measurement uncertainties for TOC and TN are ±3%, while that for δ13Corg is ±0.3‰. The repeated measurement (n=12) for n-alkane gave mean uncertainties between 0.60–5.75%.

opencc-zeroSep 2023View details →

opencc-by-4.0May 2024View details →

Correlations between the abundances of Barium stars, the AGB model residuals and the delta parameter

Additional figures for Világos et al. 2024, Sect. 3.2. For the sample of Barium stars, correlations between the observationally dervied abundances; the residuals between the AGB models and the abundances; and the delta parameter. The figures are divided into the following directories: <ul> <li>'1-obs_feh':  Abundances and elemental ratios of different peaks as a function of the [Fe/H] (Sect. 3.2.1 and Fig. 5).</li> <li>'2-res_feh':   Residuals of the abundances and elemental ratios as a function of the [Fe/H] (Sect. 3.2.2 and Fig. 6).</li> <li>'3-obs_obs': Abundances as a function of the other abundances (Sect. 3.2.3 and Fig. 7).</li> <li>'4-res_res':   Residuals of the abundances as a function of the other residuals (Sect. 3.2.4 and Fig. 8).</li> <li>'5-res_obs':  Residuals of the abundances as a function of the abundances (see Sect. 3.2.5 and Fig. 9).</li> <li>'6-delta':       Abundances and residuals as a function of the delta parameter, that indicates the fraction of AGB material in the Ba star envelope (Sect. 3.2.6 and Fig. 10).</li> </ul> For figures in directories 1-2, we refer to some elements as [A/B], although sometimes [B/A] vs. [Fe/H] is shown. Visually, this swapping of the numerator and denominator elements means a vertical reflection around the y = 0 axis. Thus, $r_S$ and $a$ for [B/A] vs. [Fe/H] have the same absolute value but different sign than for [A/B] vs. [Fe/H]. For figures in directories 3-5, if we refer to [A/Fe] vs [B/Fe], but plot [B/Fe] vs [A/Fe], the sign of the relationship (correlation or anti-correlation) remains the same. The swap of the two axes results in a reflection around a diagonal line with a slope of 1. The resulting slope is therefore $1/a$, while $r_S$ is the same in both cases.

Delta-THC in Dementia

ClinicalTrials.gov study NCT01608217. IPD Sharing: Not stated. Countries: 1. Publications: 1.

DNX-2401 (Formerly Known as Delta-24-RGD-4C) for Recurrent Malignant Gliomas

ClinicalTrials.gov study NCT00805376. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Delta Waves and Cognitive Recovery

ClinicalTrials.gov study NCT05924737. IPD Sharing: NO. Countries: 1. Publications: 0.

Novel Gamma-Delta (γδ)T Cell Therapy for Treatment of Patients With Newly Diagnosed Glioblastoma

ClinicalTrials.gov study NCT04165941. IPD Sharing: NO. Countries: 1. Publications: 2.

Early Stability of the Delta-TT Cup With Polyethylene Insert Versus a Ceramic Insert. A RSA Study.

ClinicalTrials.gov study NCT03093038. IPD Sharing: NO. Countries: 1. Publications: 1.

PK/PD of Oral and Vaporized Delta-9-Tetrahydrocannabinol (THC) in Older Adults

ClinicalTrials.gov study NCT05906511. IPD Sharing: NO. Countries: 1. Publications: 8.

Effect of Delta-9-Tetrahydrocannabinol on the Prevention of Chronic Pain in Patients With Acute CRPS (ETIC-Study)

ClinicalTrials.gov study NCT00377468. IPD Sharing: Not stated. Countries: 1. Publications: 3.

controlledIPD-YESFeb 2026View details →

Augmenting Single-session Behavioral Activation (BA) With Delta-beta Transcranial Alternating Current Stimulation (tACS) for the Treatment of Depression

ClinicalTrials.gov study NCT05693922. IPD Sharing: YES. Countries: 1. Publications: 0.

VQI DELTA Paclitaxel Device Safety Analysis

ClinicalTrials.gov study NCT04110288. IPD Sharing: NO. Countries: 1. Publications: 18.

Evaluation of the Role of the Autonomic Nervous System in Sj(SqrRoot)(Delta)Gren s Syndrome

ClinicalTrials.gov study NCT00565526. IPD Sharing: Not stated. Countries: 1. Publications: 4.