1,721,049 research outputs found
Single-beam bathymetry data (ESRI ASCII grid format) of selected mesophotic biogenic reefs from the northern Adriatic Sea
These processed bathymetry grids were generated from single-beam sonar data collected in 2003-2007 as a part of ecological surveys carried out by the University of Bologna, Italy. The bathymetry data was acquired using a Lowrance HDS sonar operating at 200 kHz coupled with a WAAS-enabled D-GPS for navigation, and was processed by means of the kriging interpolation method using Surfer Golden Software. In most cases, the XY grid spacing was set at 0.5 m, but, in some cases according to areal coverage of data, was set to finer or coarser spacings: 1 m for TC2, Term14, TM1, TM4; 2 m for P208; and, 0.1 m for TSO. Depth values were tide-corrected and referred to the Mean Lower Low Water (MLLW) based on astronomical tide prediction (calculated by WXTide32 software using harmonic data for the nearest available station, i.e. Chioggia or Malamocco). The grid projection is in WGS84 / UTM Zone 33N (EPSG:32633). These bathymetry grids are provided in ESRI ASCII grid format and correspond to the annotated GeoTIFF images in the related data set. The lead investigator for this project was Massimo Ponti
Single-beam bathymetry data (GeoTIFF image format) of selected mesophotic biogenic reefs from the northern Adriatic Sea
These annotated GeoTIFF images of processed bathymetry were generated from single-beam sonar data collected in 2003-2007 as a part of ecological surveys carried out by the University of Bologna, Italy. The bathymetry data was acquired using a Lowrance HDS sonar operating at 200 kHz coupled with a WAAS-enabled D-GPS for navigation, and was processed by means of the kriging interpolation method using Surfer Golden Software. In most cases, the XY grid spacing was set at 0.5 m, but, in some cases according to areal coverage of data, was set to finer or coarser spacings: 1 m for TC2, Term14, TM1, TM4); 2 m for P208; and, 0.1 m for TSO. Depth values were tide-corrected and referred to the Mean Lower Low Water (MLLW) based on astronomical tide prediction (calculated by WXTide32 software using harmonic data for the nearest available station, i.e. Chioggia or Malamocco). The grid projection is in WGS84 / UTM Zone 33N (EPSG:32633). These bathymetry images are provided in GeoTIFF image format and correspond to the associated ESRI ASCII bathymetry grids in the related data set. The lead investigator for this project was Massimo Ponti
I popolamenti sommersi dell'area marina protetta Isole Tremiti. Parco nazionale del Gargano
Questo libro nasce dalla collaborazione tra Servizio AMP Isole Tremiti dell’Ente Parco Nazionale del Gargano, l’Università Politecnica delle Marche, l’Università di Bologna, l’Università di Genova, l’associazione Reef Check Italia onlus e il centro d’immersioni MARLINTREMITI. Carlo Cerrano, docente dell’Università Politecnica delle Marche, e Massimo Ponti, docente dell’Università di Bologna, hanno curato e redatto il libro, pubblicato da Reef Check Italia onlus. I rilievi in mare sono stati condotti da Roberto De Camillis, Federica Montesanto, Andrea Pierucci e Andrea Magnani, nell’ambito delle loro Tesi di Laurea Magistrale. L’inquadramento geologico è di Enrico Miccadei, docente dell’Università G. d’Annunzio Chieti-Pescara, in collaborazione con l'Associazione Italiana di Geologia e Turismo (G&T). Fabio Rindi, docente dell’Università Politecnica delle Marche, ha curato la parte botanica, Eva Turicchia, dottoranda presso l’Università di Bologna, quella fotografica e cartografica
MedSens data (Version 1.0.0, update May 18, 2019). Dataset maintained by Reef Check Italia
MedSens data is a dataset including the abundance of selected Mediterranean marine species, collected by trained volunteers (EcoDivers, i.e. scuba-divers, freedivers and snorkelers) according to the Reef Check Mediterranean Underwater Coastal Environment Monitoring (RCMed U-CEM) protocol, and maintained by the non-profit association Reef Check Italia onlus. This dataset is a subset of 25 selected species from the Reef Check Med - key Mediterranean marine species dataset, and it is specifically intended to calculate the MedSens index developed by Eva Turicchia, Carlo Cerrano, Matteo Ghetta, Marco Abbiati and Massimo Ponti. MedSens data is provided as ESRI shapefiles in WGS84 geographic coordinates (EPSG:4326)
MedSens data (Version 2.0.0, update June 4, 2021). Dataset maintained by Reef Check Italia
MedSens data is a dataset including the abundance of selected Mediterranean marine species, collected by trained volunteers (EcoDivers, i.e. scuba-divers, freedivers and snorkelers) according to the Reef Check Mediterranean Underwater Coastal Environment Monitoring (RCMed U-CEM) protocol, and maintained by the non-profit association Reef Check Italia onlus.
This dataset is a subset of 25 selected species from the Reef Check Med - key Mediterranean marine species dataset, and it is specifically intended to calculate the MedSens index developed by Eva Turicchia, Carlo Cerrano, Matteo Ghetta, Marco Abbiati and Massimo Ponti. MedSens data is provided as ESRI shapefiles in WGS84 geographic coordinates (EPSG:4326)
Frontiers in Marine Science
Frontiers in Marine Science publishes rigorously peer-reviewed research that advances our understanding of all aspects of the environment, biology, ecosystem functioning and human interactions with the oceans. Field Chief Editor Carlos M. Duarte at King Abdullah University of Science and Technology Thuwal is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, policy makers and the public worldwide.
With the human population predicted to reach 9 billion people by 2050, it is clear that traditional land resources will not suffice to meet the demand for food or energy, required to support high-quality livelihoods. As a result, the oceans are emerging as a source of untapped assets, with new innovative industries, such as aquaculture, marine biotechnology, marine energy and deep-sea mining growing rapidly under a new era characterized by rapid growth of a blue, ocean-based economy. The sustainability of the blue economy is closely dependent on our knowledge about how to mitigate the impacts of the multiple pressures on the ocean ecosystem associated with the increased scale and diversification of industry operations in the ocean and global human pressures on the environment. Therefore, Frontiers in Marine Science particularly welcomes the communication of research outcomes addressing ocean-based solutions for the emerging challenges, including improved forecasting and observational capacities, understanding biodiversity and ecosystem problems, locally and globally, effective management strategies to maintain ocean health, and an improved capacity to sustainably derive resources from the oceans.
To this end the journal has developed a number of specialties that clearly outline these research areas. Ultimately, the journal seeks to catalyze progress by welcoming new ideas and approaches that are likely to shift paradigms in our understanding and interactions with the oceans. Frontiers’ Research Topics are particularly suited to introduce new developments and directions in the marine sciences (www.frontiersin.org/about/RTGuidelines). Frontiers in Marine Science will make use of the unique Frontiers platform for open-access publishing and research networking for scientists, which provides an equal opportunity to seek, share and create knowledge. The mission of Frontiers is to place publishing back in the hands of working scientists and to promote an interactive, fair, and efficient review process. Articles are peer-reviewed according to the Frontiers review guidelines, which evaluate manuscripts on objective editorial criteria
- …
