Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- parting-the-sea-to-save-venice description "The natural-color Landsat images above show some of the MOSE engineering efforts that are visible above the water line near the Lido Inlet. The top image was acquired on June 20, 2000, by the Enhanced Thematic Mapper+ on Landsat 7. The second image, from the Operational Land Imager on Landsat 8, was collected on September 4, 2013. Turn on the image comparison tool to make the changes easier to see. (Note that Landsat 8 has a greater dynamic range than Landsat 7, so the Landsat 8 image is crisper the Landsat 7 image.)" assertion.
- 10.1016%2Fj.marpolbul.2021.112124 description "Reduction in the impact of human-induced factors is capable of enhancing the environmental health. In view of COVID-19 pandemic, lockdowns were imposed in India. Travel, fishing, tourism and religious activities were halted, while domestic and industrial activities were restricted. Comparison of the pre- and post-lockdown data shows that water parameters such as turbidity, nutrient concentration and microbial levels have come down from pre- to post-lockdown period, and parameters such as dissolved oxygen levels, phytoplankton and fish densities have improved. The concentration of macroplastics has also dropped from the range of 138 ± 4.12 and 616 ± 12.48 items/100 m2 to 63 ± 3.92 and 347 ± 8.06 items/100 m2. Fish density in the reef areas has increased from 406 no. 250 m−2 to 510 no. 250 m−2. The study allows an insight into the benefits of effective enforcement of various eco-protection regulations and proper management of the marine ecosystems to revive their health for biodiversity conservation and sustainable utilization." assertion.
- 10.1016%2Fj.marpolbul.2021.112124 description "Reduction in the impact of human-induced factors is capable of enhancing the environmental health. In view of COVID-19 pandemic, lockdowns were imposed in India. Travel, fishing, tourism and religious activities were halted, while domestic and industrial activities were restricted. Comparison of the pre- and post-lockdown data shows that water parameters such as turbidity, nutrient concentration and microbial levels have come down from pre- to post-lockdown period, and parameters such as dissolved oxygen levels, phytoplankton and fish densities have improved. The concentration of macroplastics has also dropped from the range of 138 ± 4.12 and 616 ± 12.48 items/100 m2 to 63 ± 3.92 and 347 ± 8.06 items/100 m2. Fish density in the reef areas has increased from 406 no. 250 m−2 to 510 no. 250 m−2. The study allows an insight into the benefits of effective enforcement of various eco-protection regulations and proper management of the marine ecosystems to revive their health for biodiversity conservation and sustainable utilization." assertion.
- 10.1016%2Fj.marpolbul.2021.112124 description "Reduction in the impact of human-induced factors is capable of enhancing the environmental health. In view of COVID-19 pandemic, lockdowns were imposed in India. Travel, fishing, tourism and religious activities were halted, while domestic and industrial activities were restricted. Comparison of the pre- and post-lockdown data shows that water parameters such as turbidity, nutrient concentration and microbial levels have come down from pre- to post-lockdown period, and parameters such as dissolved oxygen levels, phytoplankton and fish densities have improved. The concentration of macroplastics has also dropped from the range of 138 ± 4.12 and 616 ± 12.48 items/100 m2 to 63 ± 3.92 and 347 ± 8.06 items/100 m2. Fish density in the reef areas has increased from 406 no. 250 m−2 to 510 no. 250 m−2. The study allows an insight into the benefits of effective enforcement of various eco-protection regulations and proper management of the marine ecosystems to revive their health for biodiversity conservation and sustainable utilization." assertion.
- content description "Data at the Acqua Alta oceanographic tower is a collection of physical and biogeochemical observation in the northern Adriatic Sea https://www.comune.venezia.it/it/content/3-piattaforma-ismar-cnr http://www.ismar.cnr.it/infrastrutture/piattaforma-acqua-alta" assertion.
- content description "Data at the Acqua Alta oceanographic tower is a collection of physical and biogeochemical observation in the northern Adriatic Sea https://www.comune.venezia.it/it/content/3-piattaforma-ismar-cnr http://www.ismar.cnr.it/infrastrutture/piattaforma-acqua-alta" assertion.
- content description "Data at the Acqua Alta oceanographic tower is a collection of physical and biogeochemical observation in the northern Adriatic Sea https://www.comune.venezia.it/it/content/3-piattaforma-ismar-cnr http://www.ismar.cnr.it/infrastrutture/piattaforma-acqua-alta" assertion.
- content description "Data at the Acqua Alta oceanographic tower is a collection of physical and biogeochemical observation in the northern Adriatic Sea https://www.comune.venezia.it/it/content/3-piattaforma-ismar-cnr http://www.ismar.cnr.it/infrastrutture/piattaforma-acqua-alta" assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G description "CAMS NITROGEN DIOXIDE" assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G description "CAMS NITROGEN DIOXIDE" assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G description "CAMS NITROGEN DIOXIDE" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G description "CAMS OZONE" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G description "CAMS OZONE" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G description "CAMS OZONE" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G description "CAMS SURFACE PARTICULATE METTER D<2.5" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G description "CAMS SURFACE PARTICULATE METTER D<2.5" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G description "CAMS SURFACE PARTICULATE METTER D<2.5" assertion.
- 0869e396-3733-4aff-8fb2-94c8937b28aa description "This is a case study of snapshot project http://snapshot.cnr.it/ to investigate the lockdown impact on the water quality at a selected site in the northern Adriatic Sea, precisely in Northern Adriatic Sea, the case of the Gulf of Venice using Machine Learning model." assertion.
- 0869e396-3733-4aff-8fb2-94c8937b28aa description "This is a case study of snapshot project http://snapshot.cnr.it/ to investigate the lockdown impact on the water quality at a selected site in the northern Adriatic Sea, precisely in Northern Adriatic Sea, the case of the Gulf of Venice using Machine Learning model." assertion.
- 0869e396-3733-4aff-8fb2-94c8937b28aa description "This is a case study of snapshot project http://snapshot.cnr.it/ to investigate the lockdown impact on the water quality at a selected site in the northern Adriatic Sea, precisely in Northern Adriatic Sea, the case of the Gulf of Venice using Machine Learning model." assertion.
- 53aa90bf-c593-4e6d-923f-d4711ac4b0e1 description "The COVID-19 pandemic has led to significant reductions in economic activity, especially during lockdowns. Several studies has shown that the concentration of nitrogen dioxyde and particulate matter levels have reduced during lockdown events. Reductions in transportation sector emissions are most likely largely responsible for the NO2 anomalies. In this study, we analyze the impact of lockdown events on the air quality using data from Copernicus Atmosphere Monitoring Service over Europe and at selected locations." assertion.
- 53aa90bf-c593-4e6d-923f-d4711ac4b0e1 description "The COVID-19 pandemic has led to significant reductions in economic activity, especially during lockdowns. Several studies has shown that the concentration of nitrogen dioxyde and particulate matter levels have reduced during lockdown events. Reductions in transportation sector emissions are most likely largely responsible for the NO2 anomalies. In this study, we analyze the impact of lockdown events on the air quality using data from Copernicus Atmosphere Monitoring Service over Europe and at selected locations." assertion.
- 53aa90bf-c593-4e6d-923f-d4711ac4b0e1 description "The COVID-19 pandemic has led to significant reductions in economic activity, especially during lockdowns. Several studies has shown that the concentration of nitrogen dioxyde and particulate matter levels have reduced during lockdown events. Reductions in transportation sector emissions are most likely largely responsible for the NO2 anomalies. In this study, we analyze the impact of lockdown events on the air quality using data from Copernicus Atmosphere Monitoring Service over Europe and at selected locations." assertion.
- 2a2b6f01-be2e-414e-af08-d882aa995a71 description "In order to fight against the spread of COVID-19, the most hard-hit countries in the spring of 2020 implemented different lockdown strategies. To assess the impact of the COVID-19 pandemic lockdown on air quality worldwide, Air Quality Index (AQI) data was used to estimate the change in air quality in 20 major cities on six continents. Our results show significant declines of AQI in NO2, SO2, CO, PM2.5 and PM10 in most cities, mainly due to the reduction of transportation, industry and commercial activities during lockdown. This work shows the reduction of primary pollutants, especially NO2, is mainly due to lockdown policies. However, preexisting local environmental policy regulations also contributed to declining NO2, SO2 and PM2.5 emissions, especially in Asian countries. In addition, higher rainfall during the lockdown period could cause decline of PM2.5, especially in Johannesburg. By contrast, the changes of AQI in ground-level O3 were not significant in most of cities, as meteorological variability and ratio of VOC/NOx are key factors in ground-level O3 formation." assertion.
- 2a2b6f01-be2e-414e-af08-d882aa995a71 description "In order to fight against the spread of COVID-19, the most hard-hit countries in the spring of 2020 implemented different lockdown strategies. To assess the impact of the COVID-19 pandemic lockdown on air quality worldwide, Air Quality Index (AQI) data was used to estimate the change in air quality in 20 major cities on six continents. Our results show significant declines of AQI in NO2, SO2, CO, PM2.5 and PM10 in most cities, mainly due to the reduction of transportation, industry and commercial activities during lockdown. This work shows the reduction of primary pollutants, especially NO2, is mainly due to lockdown policies. However, preexisting local environmental policy regulations also contributed to declining NO2, SO2 and PM2.5 emissions, especially in Asian countries. In addition, higher rainfall during the lockdown period could cause decline of PM2.5, especially in Johannesburg. By contrast, the changes of AQI in ground-level O3 were not significant in most of cities, as meteorological variability and ratio of VOC/NOx are key factors in ground-level O3 formation." assertion.
- 2a2b6f01-be2e-414e-af08-d882aa995a71 description "In order to fight against the spread of COVID-19, the most hard-hit countries in the spring of 2020 implemented different lockdown strategies. To assess the impact of the COVID-19 pandemic lockdown on air quality worldwide, Air Quality Index (AQI) data was used to estimate the change in air quality in 20 major cities on six continents. Our results show significant declines of AQI in NO2, SO2, CO, PM2.5 and PM10 in most cities, mainly due to the reduction of transportation, industry and commercial activities during lockdown. This work shows the reduction of primary pollutants, especially NO2, is mainly due to lockdown policies. However, preexisting local environmental policy regulations also contributed to declining NO2, SO2 and PM2.5 emissions, especially in Asian countries. In addition, higher rainfall during the lockdown period could cause decline of PM2.5, especially in Johannesburg. By contrast, the changes of AQI in ground-level O3 were not significant in most of cities, as meteorological variability and ratio of VOC/NOx are key factors in ground-level O3 formation." assertion.
- 2a2b6f01-be2e-414e-af08-d882aa995a71 description "In order to fight against the spread of COVID-19, the most hard-hit countries in the spring of 2020 implemented different lockdown strategies. To assess the impact of the COVID-19 pandemic lockdown on air quality worldwide, Air Quality Index (AQI) data was used to estimate the change in air quality in 20 major cities on six continents. Our results show significant declines of AQI in NO2, SO2, CO, PM2.5 and PM10 in most cities, mainly due to the reduction of transportation, industry and commercial activities during lockdown. This work shows the reduction of primary pollutants, especially NO2, is mainly due to lockdown policies. However, preexisting local environmental policy regulations also contributed to declining NO2, SO2 and PM2.5 emissions, especially in Asian countries. In addition, higher rainfall during the lockdown period could cause decline of PM2.5, especially in Johannesburg. By contrast, the changes of AQI in ground-level O3 were not significant in most of cities, as meteorological variability and ratio of VOC/NOx are key factors in ground-level O3 formation." assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf description "In this study, we focusing on understanding changes in air and water quality during the Covid-19 lockdown in the Venice Lagoon. We are re-using existing Research Objects, and in particular Jupyter Notebooks that were created in previous studies." assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf description "In this study, we focusing on understanding changes in air and water quality during the Covid-19 lockdown in the Venice Lagoon. We are re-using existing Research Objects, and in particular Jupyter Notebooks that were created in previous studies." assertion.
- 084b7991-70e0-48c1-af37-5bf6e1e21196 description "## Description Jupyter Notebook to analyse the changes in NO2 during the Covid-19 Lockdown in the Venice Lagoon. Datasets are from Copernicus Atmosphere Monitoring Forecasts and in-situ measurement for water quality." assertion.
- 084b7991-70e0-48c1-af37-5bf6e1e21196 description "## Description Jupyter Notebook to analyse the changes in NO2 during the Covid-19 Lockdown in the Venice Lagoon. Datasets are from Copernicus Atmosphere Monitoring Forecasts and in-situ measurement for water quality." assertion.
- 49c08d71-ef52-4ae1-9ddb-cd43bc204d84 description "Dataset shows monthly values and error bars." assertion.
- 49c08d71-ef52-4ae1-9ddb-cd43bc204d84 description "Dataset shows monthly values and error bars." assertion.
- 885820ec-21c6-4045-96cd-716e2ae42102 description "Compare air quality and water quality in the Venice Lagoon for two different dates." assertion.
- 885820ec-21c6-4045-96cd-716e2ae42102 description "Compare air quality and water quality in the Venice Lagoon for two different dates." assertion.
- 9777f9c8-388f-49e7-b027-a1dc933c2398 description "Bar plot showing NO2 averaged between March and June for 2019 and 2020. The goal is to compare values before and during the covid-19 lockdown." assertion.
- 9777f9c8-388f-49e7-b027-a1dc933c2398 description "Bar plot showing NO2 averaged between March and June for 2019 and 2020. The goal is to compare values before and during the covid-19 lockdown." assertion.
- da17f3c5-cc88-46fe-bd6e-3e7c278f8df0 description "The goal is to compare values of NO2 water quality before and during the covid-19 lockdown." assertion.
- da17f3c5-cc88-46fe-bd6e-3e7c278f8df0 description "The goal is to compare values of NO2 water quality before and during the covid-19 lockdown." assertion.
- c2c64bf9-7625-4442-9ca9-dcd978b1d38b description "Integration of data on Air and Water quality in the Venice Lagoon to assess the impact of the Covid-19 Lockdown" assertion.
- c2c64bf9-7625-4442-9ca9-dcd978b1d38b description "Integration of data on Air and Water quality in the Venice Lagoon to assess the impact of the Covid-19 Lockdown" assertion.
- c2c64bf9-7625-4442-9ca9-dcd978b1d38b description "Integration of data on Air and Water quality in the Venice Lagoon to assess the impact of the Covid-19 Lockdown" assertion.
- NO2_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc description "NO2 CAMS over Europe March-June 2019, 2020 and 2021 extracted from ADAM data cube." assertion.
- NO2_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc description "NO2 CAMS over Europe March-June 2019, 2020 and 2021 extracted from ADAM data cube." assertion.
- NO2_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc description "NO2 CAMS over Europe March-June 2019, 2020 and 2021 extracted from ADAM data cube." assertion.
- full description "Although all the technical components supporting fully orchestrated Digital Twins (DT) currently exist, what remains missing is a conceptual clarification and analysis of a more generalized concept of a DT that is made FAIR, that is, universally machine actionable. This methodological overview is a first step toward this clarification. We present a review of previously developed semantic artifacts and how they may be used to compose a higher-order data model referred to here as a FAIR Digital Twin (FDT). We propose an architectural design to compose, store and reuse FDTs supporting data intensive research, with emphasis on privacy by design and their use in GDPR compliant open science." assertion.
- full description "Although all the technical components supporting fully orchestrated Digital Twins (DT) currently exist, what remains missing is a conceptual clarification and analysis of a more generalized concept of a DT that is made FAIR, that is, universally machine actionable. This methodological overview is a first step toward this clarification. We present a review of previously developed semantic artifacts and how they may be used to compose a higher-order data model referred to here as a FAIR Digital Twin (FDT). We propose an architectural design to compose, store and reuse FDTs supporting data intensive research, with emphasis on privacy by design and their use in GDPR compliant open science." assertion.
- c797fdc7-0330-45de-8970-fedf5ee89cb1 description "Bibliography and other related articles and documents of interest for the Destination Earth Initiative." assertion.
- c797fdc7-0330-45de-8970-fedf5ee89cb1 description "Bibliography and other related articles and documents of interest for the Destination Earth Initiative." assertion.
- 1b43f352-a63c-4476-8ba7-8379e1dbde75 description "Web article about the collaboration between CINECA and the Destination Earth initiative for the adoption of new HPC technologies." assertion.
- 1b43f352-a63c-4476-8ba7-8379e1dbde75 description "Web article about the collaboration between CINECA and the Destination Earth initiative for the adoption of new HPC technologies." assertion.
- 3ca945fa-c503-45bf-8d3d-930bdb0651c9 description "5 pillars for realising Destination Earth" assertion.
- 3ca945fa-c503-45bf-8d3d-930bdb0651c9 description "5 pillars for realising Destination Earth" assertion.
- 8d7ce936-46bc-4023-b06f-2198580f3802 description "Presentation given at ECMWF by Shainer Graham" assertion.
- 8d7ce936-46bc-4023-b06f-2198580f3802 description "Presentation given at ECMWF by Shainer Graham" assertion.
- 871a1786-bc6a-4e60-a160-3f57e3869d35 description "This Research Object aggregates all the different Research Objects and resources used for presenting the Environmental Data Science Book at AGU 2022. The Environmental Data Science book is a living, open and community-driven online resource to showcase and support the publication of data, research and open-source tools for collaborative, reproducible and transparent Environmental Data Science. The Environmental Data Science is: a book a community a global collaboration We target to make sense of: environmental systems environmental data and sensors innovative research in Environmental Data Science open-source tools for Environmental Data Science We hope you find the content in the resource helpful. The resource and executable notebooks are free under a CC-BY licence and OSI-approved MIT license, respectively." assertion.
- 871a1786-bc6a-4e60-a160-3f57e3869d35 description "This Research Object aggregates all the different Research Objects and resources used for presenting the Environmental Data Science Book at AGU 2022. The Environmental Data Science book is a living, open and community-driven online resource to showcase and support the publication of data, research and open-source tools for collaborative, reproducible and transparent Environmental Data Science. The Environmental Data Science is: a book a community a global collaboration We target to make sense of: environmental systems environmental data and sensors innovative research in Environmental Data Science open-source tools for Environmental Data Science We hope you find the content in the resource helpful. The resource and executable notebooks are free under a CC-BY licence and OSI-approved MIT license, respectively." assertion.
- 4a2af672-c0f3-46f3-8eca-bdf08c8a1b8d description "Research Object demonstrating sea ice forecasting using IceNet. The corresponding Jupyter Notebook has been published in the Environmental Data Science book." assertion.
- 632fe6e6-78fc-4b1b-8c5f-0b991e854cf9 description "Open science communities are pushing the boundaries of how we approach scientific research. With advancements in computing, software, and data management, the tools are available to transform science into a truly open, collaborative, and inclusive space. By following open science practices, we can increase accessibility of scientific research and findings, improve collaboration, and facilitate high quality, reproducible science. This session will showcase success stories in the Earth and space sciences and highlight a range of open science platforms, datasets, and computational tools. Join this session for real-world examples of how open science practices have empowered and enabled scientists across disciplines to carry out successful research projects." assertion.
- 7a09c382-3acd-4ee5-af4a-896b78da763a description "This research object is a fork from RO examplifying Sea ice forecasting using IceNet notebook published in the Environmental Data Science book. Its main purpose is to show how to make derivative work and keep all the history of contributions and contributors." assertion.
- 89f226c9-2b9b-4921-a3a5-e9f24bf82b64 description "Recording of the presentation given at AGU2022." assertion.
- 89f226c9-2b9b-4921-a3a5-e9f24bf82b64 description "Recording of the presentation given at AGU2022." assertion.
- 4691cb04-70c5-4c7b-aa76-65850ddd509c description "This RO provides the Jupyter notebook used to post process the Sound Pressure Levels (SPLs) data obtained within the Soundscape Project - SOUNDSCAPES IN THE NORTH ADRIATIC SEA AND THEIR IMPACT ON MARINE BIOLOGICAL RESOURCES (https://www.italy-croatia.eu/web/soundscape) where more of 1 year of continuos underwater noise data (march 2020 - june 2021) were recorded." assertion.
- 4691cb04-70c5-4c7b-aa76-65850ddd509c description "This RO provides the Jupyter notebook used to post process the Sound Pressure Levels (SPLs) data obtained within the Soundscape Project - SOUNDSCAPES IN THE NORTH ADRIATIC SEA AND THEIR IMPACT ON MARINE BIOLOGICAL RESOURCES (https://www.italy-croatia.eu/web/soundscape) where more of 1 year of continuos underwater noise data (march 2020 - june 2021) were recorded." assertion.
- 15fac8f9-b9ec-4a0e-8d60-6d9563ecdd60 description "Link to open the file in Notebooks, an environment based on Jupyter and the EGI cloud service: It allows to post process SPLs data and to create graphs/tables. A valid EGI account is required." assertion.
- 15fac8f9-b9ec-4a0e-8d60-6d9563ecdd60 description "Link to open the file in Notebooks, an environment based on Jupyter and the EGI cloud service: It allows to post process SPLs data and to create graphs/tables. A valid EGI account is required." assertion.
- 2b2bbff5-3a54-42f5-9889-123bacb66828 description "Example of SPLs input file. HDF5 format, according to to ICES (International Council for the Exploration of the Sea) continuous noise data portal specification (https://www.ices.dk/data/data-portals/Pages/Continuous-Noise.aspx)." assertion.
- 2b2bbff5-3a54-42f5-9889-123bacb66828 description "Example of SPLs input file. HDF5 format, according to to ICES (International Council for the Exploration of the Sea) continuous noise data portal specification (https://www.ices.dk/data/data-portals/Pages/Continuous-Noise.aspx)." assertion.
- 551e4e13-b14a-42fe-b654-788dd2fa2220 description "Some examples of output files" assertion.
- 551e4e13-b14a-42fe-b654-788dd2fa2220 description "Some examples of output files" assertion.
- 9424b92f-ac08-4c1d-b702-49f33508a9ca description "Map of stations with their coordinates" assertion.
- 9424b92f-ac08-4c1d-b702-49f33508a9ca description "Map of stations with their coordinates" assertion.
- 94c1d183-c6a0-44db-8ec7-262cb699e822 description "The Jupyter notebook used to post process SPLs data and to create graphs/tables." assertion.
- 94c1d183-c6a0-44db-8ec7-262cb699e822 description "The Jupyter notebook used to post process SPLs data and to create graphs/tables." assertion.
- c9bf4fa6-e56f-4ea4-b9ea-cd73c2c5fc26 description "20 and 60 seconds SPLs dataset" assertion.
- c9bf4fa6-e56f-4ea4-b9ea-cd73c2c5fc26 description "20 and 60 seconds SPLs dataset" assertion.
- ca7bd76d-d492-45cd-a23a-1d7fb5903ca7 description "Continuous Noise Database (https://underwaternoise.ices.dk/continuous), 2022. ICES, Copenhagen" assertion.
- ca7bd76d-d492-45cd-a23a-1d7fb5903ca7 description "Continuous Noise Database (https://underwaternoise.ices.dk/continuous), 2022. ICES, Copenhagen" assertion.
- dd76312c-945d-461f-9719-17d5abc73df6 description "EU-Interreg Italy-Croatia 2014/2020 – CBC Program (Contract number 10043643)" assertion.
- dd76312c-945d-461f-9719-17d5abc73df6 description "EU-Interreg Italy-Croatia 2014/2020 – CBC Program (Contract number 10043643)" assertion.
- SPL_PostProcessing_HDF5.ipynb description "Link to open the file in Notebooks, an environment based on Jupyter and the EGI cloud service: It allows to post process SPLs data and to create graphs/tables. A valid EGI account is required." assertion.
- SPL_PostProcessing_HDF5.ipynb description "Link to open the file in Notebooks, an environment based on Jupyter and the EGI cloud service: It allows to post process SPLs data and to create graphs/tables. A valid EGI account is required." assertion.
- SPL_PostProcessing_HDF5.ipynb description "Link to EGI Jupyer HUB: It allows to post process spl data and to create graphs/tables" assertion.
- SPL_PostProcessing_HDF5.ipynb description "Link to EGI Jupyer HUB: It allows to post process spl data and to create graphs/tables" assertion.
- continuous description "Continuous Noise Database (https://underwaternoise.ices.dk/continuous), 2022. ICES, Copenhagen" assertion.
- continuous description "Continuous Noise Database (https://underwaternoise.ices.dk/continuous), 2022. ICES, Copenhagen" assertion.
- continuous description "Continuous Noise Database (https://underwaternoise.ices.dk/continuous), 2022. ICES, Copenhagen" assertion.
- continuous description "Continuous Noise Database (https://underwaternoise.ices.dk/continuous), 2022. ICES, Copenhagen" assertion.
- soundscape description "EU-Interreg Italy-Croatia 2014/2020 – CBC Program (Contract number 10043643)" assertion.
- soundscape description "EU-Interreg Italy-Croatia 2014/2020 – CBC Program (Contract number 10043643)" assertion.
- soundscape description "EU-Interreg Italy-Croatia 2014/2020 – CBC Program (Contract number 10043643)" assertion.
- soundscape description "EU-Interreg Italy-Croatia 2014/2020 – CBC Program (Contract number 10043643)" assertion.
- 2f352829-b3e1-45f3-99f2-786c52587485 description "This RO provides the Jupyter notebook used to post process the Sound Pressure Levels (SPLs) data obtained within the Soundscape Project - SOUNDSCAPES IN THE NORTH ADRIATIC SEA AND THEIR IMPACT ON MARINE BIOLOGICAL RESOURCES (https://www.italy-croatia.eu/web/soundscape) where more of 1 year of continuos underwater noise data (march 2020 - june 2021) were recorded." assertion.
- 2f352829-b3e1-45f3-99f2-786c52587485 description "This RO provides the Jupyter notebook used to post process the Sound Pressure Levels (SPLs) data obtained within the Soundscape Project - SOUNDSCAPES IN THE NORTH ADRIATIC SEA AND THEIR IMPACT ON MARINE BIOLOGICAL RESOURCES (https://www.italy-croatia.eu/web/soundscape) where more of 1 year of continuos underwater noise data (march 2020 - june 2021) were recorded." assertion.
- 30ecc79b-fa5a-4f52-9e0c-043b972cc852 description "Map of stations with their coordinates" assertion.
- 30ecc79b-fa5a-4f52-9e0c-043b972cc852 description "Map of stations with their coordinates" assertion.
- 5864b820-e87b-453e-974f-1c1046ce8156 description "Some examples of output files" assertion.
- 5864b820-e87b-453e-974f-1c1046ce8156 description "Some examples of output files" assertion.
- 9b4f23a4-edd7-4088-b7f1-d750dc89af89 description "Example of SPLs input file. HDF5 format, according to to ICES (International Council for the Exploration of the Sea) continuous noise data portal specification (https://www.ices.dk/data/data-portals/Pages/Continuous-Noise.aspx)." assertion.
- 9b4f23a4-edd7-4088-b7f1-d750dc89af89 description "Example of SPLs input file. HDF5 format, according to to ICES (International Council for the Exploration of the Sea) continuous noise data portal specification (https://www.ices.dk/data/data-portals/Pages/Continuous-Noise.aspx)." assertion.