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Figure 3 from: Bertolino M, Cerrano C, Bavestrello G, Carella M, Pansini M, Calcinai B (2013) Diversity of Porifera in the Mediterranean coralligenous accretions, with description of a new species. ZooKeys 336: 1-37. https://doi.org/10.3897/zookeys.336.5139

Figure 3 - Insinuating sponges. A Geodia cydonium B Geodia conchilega C Pachastrella monilifer a D Poecillastra compressa E Paratimea oxeata F Spongia virgultosa.

Figure 13 from: Bertolino M, Cerrano C, Bavestrello G, Carella M, Pansini M, Calcinai B (2013) Diversity of Porifera in the Mediterranean coralligenous accretions, with description of a new species. ZooKeys 336: 1-37. https://doi.org/10.3897/zookeys.336.5139

Figure 13 - Halicnemia geniculata. A Magnifications of the tylostyle heads B Rabdhotylostyles C Oxeas, long, sinuous and thin D Acanthoxeas.

Figure 12 from: Bertolino M, Cerrano C, Bavestrello G, Carella M, Pansini M, Calcinai B (2013) Diversity of Porifera in the Mediterranean coralligenous accretions, with description of a new species. ZooKeys 336: 1-37. https://doi.org/10.3897/zookeys.336.5139

Figure 12 - Mycale (Paresperella) serrulata. A–B Mycalostyles B Large anisochelae C Small anisochelae D Magnifications of the serrated edge of a sigma.

Figure 10 from: Bertolino M, Cerrano C, Bavestrello G, Carella M, Pansini M, Calcinai B (2013) Diversity of Porifera in the Mediterranean coralligenous accretions, with description of a new species. ZooKeys 336: 1-37. https://doi.org/10.3897/zookeys.336.5139

Figure 10 - Forcepia (Leptolabis) brunnea. A Anisotylotes B Acanthostyles C Symmetric forceps D Asymmetric forceps E Large and small sigmas F Isochelae.

Figure 1 from: Bertolino M, Cerrano C, Bavestrello G, Carella M, Pansini M, Calcinai B (2013) Diversity of Porifera in the Mediterranean coralligenous accretions, with description of a new species. ZooKeys 336: 1-37. https://doi.org/10.3897/zookeys.336.5139

Figure 1 - The four studied localities along the Ligurian Coast: Santo Stefano Shoal (station 1), Gallinara Island (station 2–3), Punta del Faro (Portofino Promontory) (station 4–5) and Punta Manara (station 6).

Figure 11 from: Bertolino M, Cerrano C, Bavestrello G, Carella M, Pansini M, Calcinai B (2013) Diversity of Porifera in the Mediterranean coralligenous accretions, with description of a new species. ZooKeys 336: 1-37. https://doi.org/10.3897/zookeys.336.5139

Figure 11 - Hymedesmia (Hymedesmia) rissoi. A Tornote, sometimes modified into subtylotes and strongyles B Acanthostyles C Arcuate isochelae D Thin sigmas.

opencc-by-4.0Dec 2022View details →

Pre-calculated turning points of Stability-curve for stationary Shakura-Sunyaev accretion disc

The pre-calculated turning points for surface density \(\Sigma\), effective temperature \(T_{\rm eff}\) and accretion rate \(\dot{M}\) of S-shaped stability curve for stationary Shakura-Sunyaev viscous accretion disc. Calculations performed for 20 linearly scaled values of central source mass from \(1\, M_{\odot}\) to \(20\, M_{\odot}\), 20 logarithmically scaled values of viscous parameter \(\alpha\) from \(3\cdot10^{-4}\) to 0.7, 20 logarithmically scaled values of radius from \(7\cdot10^7\) cm to \(5\cdot10^{11}\) cm. <a href="https://github.com/AndreyTavleev/DiscVerSt">The new open-source Python3 code</a> is used to calculate the vertical structure of the disc with tabular opacity (solar chemical composition) and both convective and radiative energy transport taking into account. As a result, one can obtain S-shaped stability curve — a graphically depicted sequence of solutions of the vertical-structure equations, obtained at a single disc radius, in the coordinates of accretion rate or effective temperature versus the surface density. S-curve turn points allow to investigate the stability of disc with respect to temperature and surface density fluctuations.  Reading of the data (Python3): <pre><code class="language-python">import numpy as np data = np.genfromtxt('Turn_points_array.dat', names=True)</code></pre>

Delta-X: NUMAR Predictive Model for Marsh Accretion Rates and Chemical Properties

This dataset provides input data and model code to run the Marsh Accretion Rates (NUMAR) process model used to predict soil accretion rates and chemical properties for marsh sites in the Mississippi River Delta. NUMAR is a modification of the NUMAN model by Chen and Twilley (1999) that was developed for mangrove environments. This dataset provides Python code, input data in comma separated values (CSV) format, and documentation for installing and running the model in Portable Document Format (PDF).

Delta-X: NUMAR Soil Accretion Modeled to 2100, MRD, Louisiana, USA

This dataset holds modeled estimates of soil accretion for the Atchafalaya and Terrebonne basins in the Mississippi River Delta of coastal Louisiana, U.S. Soil accretion was predicted from 2021-2100 using the Numerical Understanding of Marsh Accretion Resilience (NUMAR) model. This process-based model is an adaptation of the NUMAN model that was modified for marsh environments. The input parameters were aggregated within ecogeomorphic cells, areas of similar vegetation and elevation. The dataset includes spatially explicit input values, description of important parameters, and a shapefile of model outputs.

Delta-X: Modeled Land Accretion Rate Maps, Wax Lake Delta, MRD, LA, USA, 2021

This dataset provides sediment transport and land accretion model results at Wax Lake Delta (WLD), Atchafalaya Basin, in coastal Louisiana, USA. Data were simulated over the Delta-X Spring 2021 (2021-03-21 to 2021-04-03) and Fall 2021 (2021-08-14 to 2021-08-27) campaigns and the results are presented as annualized land accretion rate map. The model results for these two short-term campaigns are used to calculate the 1-year upscale land accretion rate at WLD in post-processing, which is also provided in this dataset. Model results for these two short-term campaigns were derived using inputs from an ANUGA hydrodynamic model. The Matlab sediment transport and land accretion model used to derive these data employs sediment transport theory that models floc behavior using a non-cohesive sediment transport framework. Data are presented in NetCDF (*.nc) format.

Delta-X: Matlab Model for Wax Lake Delta Land Accretion

This dataset provides the Matlab sediment transport and land accretion model at Wax Lake Delta (WLD), Atchafalaya Basin, in coastal Louisiana. The data include the Matlab scripts that solve the advection and Exner equations to simulate the suspended sediment transport and accretion at WLD. The model requires modeled flow information from a separate ANUGA hydrodynamic model as inputs. For this study, ANUGA modeled flow information from the Delta-X Spring and Fall 2021 campaigns were used as inputs. The ANUGA output files are converted to variables used by this Matlab model using pre-processing tools. The main code calculates suspended sediment fluxes and accretion rates of mud and sand as a function of space and time. The cumulative sediment accretion from each campaign was then used to estimate an annualized land accretion map using a weighted-average formula presented. The final product, the one-yr upscaled land accretion map, is archived as a separate dataset.

Delta-X: Soil Accretion Rates from Cs-137 Activity and NUMAR Validation, MRD, LA

This dataset holds measurements of Cesium-137 (137Cs) activity sampled from sites in the Atchafalaya and Terrebonne Basins on the southern coast of Louisiana, USA. Sediment cores were taken to validate modeled estimates of soil accretion rates. The NUMAR model was designed to predict soil properties and corresponding accretion rates in marsh environments. This study explored whether the probabilistic outcomes generated by the model align with accretion rates determined through field-based measurements using 137Cs activity. The model's probabilistic simulations were conducted for active and inactive basins, encompassing fresh, brackish, and saline sites. Aliquots of approximately 5-9 g of finely ground dry sediment were placed into vials of known geometry for direct gamma counting of 137Cs using high-purity Germanium (Ge) well detectors. The 137Cs dating technique is based on detecting the specific core section in which the radioactive isotope 137Cs peak activity occurs across a vertical soil profile. This peak corresponds to the peak fallout in 1963 deposited during the atmospheric nuclear testing and provides a timeline reference for estimating soil accumulation rates, sediment deposition, and marsh accretion. Therefore, to validate the NUMAR accretion results, 137Cs activity was measured at different core sections across a vertical soil profile to determine the peak corresponding to the peak fallout in 1963 due to atmospheric nuclear testing and estimate soil accretion rates. The data are provided in comma separated values (CSV) format.

Delta-X: Feldspar Sediment Accretion Measurements, MRD, LA, USA, 2019-2023, Version 4

This dataset provides elevation, hydrogeomorphic zone classification, soil carbon content, bulk density, organic matter content, and sediment accretion measurements collected at feldspar stations established near Louisiana's Coastwide Reference Monitoring Systems (CRMS) sites and on Mike Island in Wax Lake Delta (WLD). Feldspar stations were established to capture recent sediment deposition rates across hydrogeomorphic zones defined as discrete surface elevation ranges relative to NAVD88 (e.g., subtidal < -0.04 m, intertidal -0.04 m to 0.30 m, and supratidal > 0.30 m). Hydrogeomorphic zones classification was based on marsh surface elevation measurements acquired in November - December 2020 using a RTK GPS (Trible R12, using Geoid 18). Between two and four feldspar stations were deployed approximately 25 and 50 meters from a main channel to represent existing hydrogeomorphic zones in brackish and saline emergent marsh vegetation, brackish and saline ponds within emergent marshes, tidal freshwater emergent marshes, and forested swamps. Cryocore technique was used to determine recent sediment deposition. Soil samples were collected to determine organic and inorganic fractions and organic carbon content. The data cover the Delta-X field studies conducted from Fall 2020 through Fall 2023. The first feldspar markers were deployed in October of 2019. The data are provided in comma-separated values (CSV) format.

opencc-by-4.0Aug 2024View details →

zenodo24/100

Data for "Impact of HI cooling and study of accretion disks in AGB wind-companion smoothed particle hydrodynamic simulations"

Additional material to Malfait et al. 2024(a) "Impact of HI cooling and study of accretion disks in AGB wind-companion smoothed particle hydrodynamic simulations" This contains input files and final output dumps of the Phantom simulations of this paper, and some movies to illustrate the complex flows within the binary systems. The code used to perform the simulations is available at: <a href="https://github.com/danieljprice/phantom">https://github.com/danieljprice/phantom.</a> Splash (<a href="https://github.com/danieljprice/splash">https://github.com/danieljprice/splash</a> ) and Plons (<a href="https://github.com/Ensor-code/plons">https://github.com/Ensor-code/plons</a> ) were used to create figures and plots from this data.

zenodo24/100

Figure 4 from: Bertolino M, Cerrano C, Bavestrello G, Carella M, Pansini M, Calcinai B (2013) Diversity of Porifera in the Mediterranean coralligenous accretions, with description of a new species. ZooKeys 336: 1-37. https://doi.org/10.3897/zookeys.336.5139

Figure 4 - Cliona burtoni. A–C Tylostyle heads D–L Spirasters of various shape and thickness.

closedIPD-NOFeb 2026View details →

Relative Contributions of Red Cell Catabolism and Dietary Absorption to Fetal Iron Accretion During Pregnancy

ClinicalTrials.gov study NCT01588665. IPD Sharing: NO. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

Diagnosis and Outcomes of Placental Accretism

ClinicalTrials.gov study NCT06833606. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

Quality of Life in Postpartum Women With Placenta Accrete Spectrum.

ClinicalTrials.gov study NCT04583540. IPD Sharing: Not stated. Countries: 1. Publications: 0.