Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- 09542d1a-e27b-4bb2-b1d5-cebba0f60ecd description "Discussion and concluding remarks The navigable window for OW ships and PC6 ships along the NSR were investigated in our previous work (Chen et al., 2020), but it is insufficient to evaluate Arctic navigability by a single climate model, even with a high resolution. This study serves as a reference for future changes in sea ice and navigability in the Arctic, including NSR, NWP, and central passage. However, the uncertainty of the models might have affected the results and their reliability in this research. Approximated physical processes and unreal parameters in models are inevitable problems in the geosciences. Differences still existed even when the models were filtered by comparing the historical simulations with the observations of sea ice extent. The abnormal decrease in navigable area at high latitudes (80–90∘ N) in September might be an example. This is against conventional wisdom, but it could be true. The uncertainty of the models is expected to decrease in future prospective research. Different ice types do make a big difference to ship navigability. For example, for the same sea ice thickness (SIT) ⋅ sea ice concentration (SIC) (e.g., SIT ⋅ SIC = 0.3), pack ice (say SIT = 0.6 m thick and SIC = 50 %) has a high degree of freedom that level ice (say SIT = 0.3 m and SIC = 100 %) does not have. Thus, ships are easier to navigate in broken ice floes (Huang et al., 2020b). ATAM is unable to clearly distinguish ice types at first, and this might be a future direction." assertion.
- 52876829-bc09-44c5-954c-c0b1e23c9da0 description "Photo by NOAA on Unsplash" assertion.
- 91431acd-954a-4c9a-ac2f-a9a87e17720d description "Abstract: Antarctica is a largely inhospitable and inaccessible continent that plays a key role in regulating the climate through ocean currents, winds, icebergs drift, and sea-ice concentration and thickness. The study area of this work corresponds to the Weddell Sea, Bellingshausen Sea and the South Atlantic Ocean. These areas are relevant because of supply operations to Antarctic stations and scientific and tourist activities. The Antarctic Peninsula is the most visited region of the continent for tourist and research vessels and requires special efforts in the development and dissemination of updated ice information for Safety of Navigation. For this purpose, it is critical to have information that discriminates the origin of the ice from land and open water, sea-ice concentration, and stage of development. The high recurrence of cloud cover over the Antarctic Peninsula during the summer hinders the operational use of visible/infra red satellite imagery, therefore access to Synthetic Aperture Radar (SAR) sensors is considered to be a high priority. Between 2018 and 2020, with the launch of the SAOCOM (Satélite Argentino de Observación Con Microondas) constellation, Argentina has evidenced an increase in the availability of SAR images for sea-ice operations. This paper presents the current state of routine production of operational ice charts at the Argentine Naval Hydrographic Service for mariners in the vicinity of the Antarctic Peninsula and South Atlantic Ocean and d" assertion.
- j.marpol.2015.12.027 description "Abstract The rapid Arctic summer sea ice reduction in the last decade has lead to debates in the maritime industries on the possibility of an increase in cargo transportation in the region. Average sailing times on the North Sea Route along the Siberian Coast have fallen from 20 days in the 1990s to 11 days in 2012–2013, attributed to easing sea ice conditions along the Siberian coast. However, the economic risk of exploiting the Arctic shipping routes is substantial. Here a detailed high-resolution projection of ocean and sea ice to the end of the 21st century forced with the RCP8.5 IPCC emission scenario is used to examine navigability of the Arctic sea routes. In summer, opening of large areas of the Arctic Ocean previously covered by pack ice to the wind and surface waves leads to Arctic pack ice cover evolving into the Marginal Ice Zone. The emerging state of the Arctic Ocean features more fragmented thinner sea ice, stronger winds, ocean currents and waves. By the mid 21st century, summer season sailing times along the route via the North Pole are estimated to be 13–17 days, which could make this route as fast as the North Sea Route." assertion.
- conda-linux-64.lock description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- conda-osx-64.lock description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- polar-modelling-icenet.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book and exemplifying the use of IceNet, a probabilistic deep learning algorithm to compute seasonal sea-ice forecasts over the Arctic." assertion.
- 714c9088-075f-43fb-94e0-b397eb195343 description "Bibliographic Research Object created by Jean Iaquinta on sea-ice forecasting and navigability in the Arctic." assertion.
- df6591e6-c326-4d28-92fb-cb9d59786ac7 description "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book. Modelling approach IceNet is a probabilistic, deep learning sea ice forecasting system. The model, an ensemble of U-Net networks, learns how sea ice changes from climate simulations and observational data to forecast up to 6 months of monthly-averaged sea ice concentration maps at 25 km resolution. IceNet advances the range of accurate sea ice forecasts, outperforming a state-of-the-art dynamical model in seasonal forecasts of summer sea ice, particularly for extreme sea ice events. IceNet was implemented in Python 3.7 using TensorFlow v2.2.0. Further details can be found in the Nature Communications paper Seasonal Arctic sea ice forecasting with probabilistic deep learning." assertion.
- 32e083d2-895a-4261-9f46-58b02a560519 description "Image showing interactive plot of IceNet seasonal forecasts of Artic sea ice according to four lead times and months in 2020" assertion.
- 4c314f75-9979-4a66-a473-a999880d6347 description "Seasonal sea ice forecast for September 2020 (leadtime=3)" assertion.
- a8c3bc47-707e-4305-8dad-9ca3cbdbb0cc description "This Jupyter notebook is the one used for developing while the GitHub repository may contain a slightly older version (but working version e.g. fully tested). This notebook is shared while working on it and may contain errors." 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.
- c0188f88-4379-491b-8c04-56ae1b7d62d1 description "Assessing the impact of the Covid-19 Lockdown on Air and Water quality in the Venice Lagoon" assertion.
- f4ee220b-ce4f-4ccc-bb73-f5a1c8b626a2 description "Environment requirements for virtual machine" assertion.
- hal-03789563 description "Working paper or preprint, September 2022." assertion.
- e7f90fc2-ddcb-4369-9f31-b81123b40533 description "This Research Object contains links to the paper, source code, etc. for the simulations presented in the paper "Multi-compartmental model of glymphatic clearance of solutes in brain tissue" by Poulain, Riseth and Vinje. For now it contains only a minimal working example for running the simulations, but will be reorganized to be more accessible and more easily extended in the near future. Summary of the paper: the Glymphatic system is the subject of numerous pieces of research in Biology. Mathematical modeling plays a considerable role in this field since it can indicate the possible physical effects in this system and validate the biologists' hypotheses. The available mathematical models that describe the system at the scale of the brain (i.e. the macroscopic scale) are often solely based on the diffusion equation and do not consider the fine structures formed by the perivascular spaces. We therefore propose a mathematical model representing the time and space evolution of a mixture flowing through multiple compartments of the brain. We adopt a macroscopic point of view in which the compartments are all present at any point in space. The equations system is composed of two coupled equations for each compartment: One equation for the pressure of a fluid and one for the mass concentration of a molecule. The fluid and solute can move from one compartment to another according to certain membrane conditions modeled by transfer functions. We propose to apply this new modeling framework to the clearance of 14 C-inulin from the rat brain." assertion.
- bf3f9822-8b40-412f-bbf7-ef8af105d2b6 description "Sketch showing the JupyterBook generated from the main Jupyter notebook." assertion.
- environment.yml description "Conda environment for executing Jupyter Notebooks from this Research Object." assertion.
- main_notebook.ipynb description "Jupyter Notebook showing the findings presented in the paper." assertion.
- mesh16.h5 description "mes16.h5" assertion.
- mesh32.h5 description "mesh32.h5" assertion.
- 6849c036-dd01-4741-89f9-859c0869deb4 description "This document describes the planning phase of tests to characterise the maneuverability of the SWAMP ASV vehicle, executing maneuvers derived from ITTC standards tipically used for ships." assertion.
- 7ba4c887-20b4-49ee-8462-9dcd40a44663 description "This technical report describes the maneuverability test plan for the autonomous surface vehicle SWAMP (Shallow Water Autonomous Multipurpose Platform), adapted from the standard maneuverability tests (IMO and ITTC)." assertion.
- 2f126bfc-d4fb-4d72-914f-bfd121b0cf35 description "This dataset represents the monthly level of tourism arrivals and overnight-stays in Venice city centre, Italy." assertion.
- 4c5e8340-5b09-45b8-bbc3-38f3209a4e9b description "Tourism Arrivals and overnight-stays in Venice - monthly level 2017-2021" assertion.
- 6387 description "" assertion.
- 6387 description "" assertion.
- answering-research-questions-with-eosc description "Answering research questions with EOSC, March 10, 2022. Climate Data Scientist Anne Fouilloux and her team were faced with a research question: In France, have there been changes in air quality over the course of the COVID-19 pandemic? With the help of compute services available through EOSC, Anne was able to search for European air quality data analysis. NAVIGATING EOSC Check our infographic and follow Anne as she: - searches for European air quality data via OpenAIRE|Explore; - selects a software (an EOSC Jupyter notebook); - orders the notebook on the EOSC marketplace; - accesses and aggregates research from the RELIANCE project; - performs data analysis with air quality data in France; - shares a new research object (via a B2Drop folder)." assertion.
- e4bff7dc-eecc-4a4e-b32c-1c8afe18deb6 description "This presentation has been given at the Data Managers Network meeting on Tuesday 22 November 2022. The topic of the meeting was "EOSC in practise" where different speakers gave their perspectives and experience with involvement in EOSC." assertion.
- 34f5e089-6750-4384-a856-0e953fad8c80 description "Presentation given at the French Institute on Thursday 1st December 2022." assertion.
- 5b55a0b1-1ceb-4820-aa4d-e304a88389c6 description "1st slide of Anne Fouilloux's presentation." assertion.
- d93553c4-2435-46ff-a858-1e6afa5153ab description "Slides for Anne Fouilloux's presentation at UiO Data Manager Meeting on EOSC in practise." assertion.
- dc0ead47-1b4b-4a63-ac04-da0580f77d8e description "Timeline with Anne Fouilloux's EOSC journey." assertion.
- tz0OqxHvnbw description "Demo for EOSC-Future: Turning FAIR and Open Science into Reality. The example shown is about the "impact of the Covid-19 Lockdown on Air quality over Europe using Copernicus and EOSC project services"." assertion.
- 44961612 description "Biography .pdf files" assertion.
- c85584de-179e-4018-aacd-e7a01072cf0d description "Area under mesophotic light conditions in the Mediterranean Sea" assertion.
- 28499bdf-a0c6-46aa-a96f-50bd9490b8be description "Estimating the penetration of light along the water column from satellite data to map the photic zone in the Mediterranean Sea" assertion.
- 4c253f5a-d427-40c2-9e9f-6063ae087239 description "Amount of light reaching the seabed according to the model in Castellan et al. 2022" assertion.
- b5091d22-9207-4a6e-a04d-b25e3cec6aee description "Requirements to run the Jupyter Notebook" assertion.
- c3f02a4d-eb38-4d3a-bef2-4563dc2cc16c description "Jupyter Notebook reporting the model to estimate the amount of light at seabed" assertion.
- s41598-022-09413-4 description "Castellan, G., Angeletti, L., Montagna, P. et al. Drawing the borders of the mesophotic zone of the Mediterranean Sea using satellite data. Sci Rep 12, 5585 (2022)." assertion.
- 3292 description "" assertion.
- global_metadata.html description "github create global metadata and attributes for robotic variables" assertion.
- c39ea824-7501-4223-96a0-da72ae57e5e3 description "The process of creating a FAIR dataset when dealing with novel robotic platform is not standardised. This RO includes the informal description of the process and the links to the resources to create a FAIR dataset when starting from a raw dataset collected with unconventional platforms. The project is scalable to all those experimental data collected with new marine robots, nevertheless can be applied to all the datasets that sit in forgotten drawers. This process wishes to encourage FAIRness in data and when possible data sharing. Robotics can now push the boundaries of observational marine sciences, environmental interventions, coastal and offshore monitoring. Therefore, it is paramount to lay out a data policy capable of enhance data visibility and accessibility. Hopefully this will sound as an invitation to oceanographers and robotics to work together to improve Earth observations and experiment repeatability" assertion.
- S0048969721020210 description "The UNESCO World Heritage site “Venice and its Lagoon”, is one of the top tourist destinations in the world. Since there is a dearth in the literature regarding microplastic leachable compounds and overtourism-related pollutants, the project studied the Head Space-Solid Phase Micro Extraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC–MS) molecular fingerprint of volatile lagoon water pollutants, to gain insight into the extent of this phenomenon in August 2019. The chromatographic analyses enabled the identification of 40 analytes related to the presence of polymers in seawater, water traffic, and tourists habits. In Italy, on the 10th March 2020, the lockdown restrictions were enforced to control the spread of the SARS-CoV-2 infection; the ordinary urban water traffic around Venice came to a halt, and the ever-growing presence of tourists suddenly ceased. This situation provided a unique opportunity to analyze the environmental effects of restrictions on VOCs load in the Lagoon. 17 contaminants became not detectable after the lockdown period. The statistical analysis indicated that the amounts of many other contaminants significantly dropped. The presence of 9 analytes was not statistically influenced by the lockdown restrictions, probably because of their stronger persistence or continuous input in the environment from diverse sources. Results signify a sharp and encouraging pollution decrease at the molecular level, concomitant with the anthropogenic stress release." assertion.
- 3941 description "" assertion.
- b3dd84e2-9a82-4364-a030-7b8a4269744d description "The RO focuses on the monitoring of the stranded and floating marco-litter pollution in the World Heritage Site of the Venice lagoon. The data also consider the covid-19 lockdown period." assertion.
- 0a6fc07f-e7d3-4617-8023-e341ec6a02fb description "Map of the itinerary" assertion.
- 488ab8f9-3af6-4838-83e5-e7576b76af12 description "Marine litter data collected by Legambiente in the lagoon of Venice - year 2016" assertion.
- 5d1adedf-6a03-40e9-866c-aeec4c705944 description "Marine litter data collected by Venice Lagoon Plastic Free in the lagoon of Venice - year 2020" assertion.
- 7e81b980-c241-485b-aa83-1ce1e721b2c9 description "Stranded litter monitoring campaign in Venice" assertion.
- ac63b244-1791-42d0-ae64-6b7efcb5cf13 description "This file collects the overall VLPF monitoring campaign of stranded plastics litter in the beach-islands of Venice within the 2021-2022 timeline" assertion.
- e568c410-1758-4a26-be81-fb7ca53a6fac description "2020 floating Marine Littere campaign in the historical city center of Venice" assertion.
- 3b1ad0bd-a71a-474e-84a1-d48e3e924b21 description "Marine debris are composed of a wide variety of materials from various sources, however, plastics are by far the most abundant material. These are mostly discharged into aquatic ecosystems and transported by currents to diverse areas, first through the rivers, which channel the waste generated in terrestrial sources, into the estuaries, and finally into the oceans. Plastic marine debris are exposed to physical, chemical, and biological stressors, resulting in smaller fragments, known as microplastics. This reality results in severe impacts on global ecosystems, human health, and marine life. There is still a considerable lack of scientific knowledge on both marine litter and microplastics characterization, distribution and sources. It is, therefore, urgent to increase the efforts, especially on transitional ecosystems. Two estuaries from the NW coast of Portugal were considered for the present research. This study aims to evaluate and characterize microplastics in the water column, as well as identify the main sources of such debris, as a long-term research collaborative research. At the same time, awareness-raising activities were organized on the subject through the direct involvement of citizens. This multidisciplinary research object represents a contribution to the urgent need for temporal and spatial monitoring of plastic pollution in estuaries and other coastal ecosystems. This scientific knowledge is essential for the adequate management of litter, to increase strategic networking and also to support and contribute to the development of Marine Litter removal technologies. The present research was supported by MAELSTROM- Smart technology for MArinE Litter SusTainable RemOval and Management, EC Grant agreement no: 101000832, within the R&D Institution CIIMAR (Interdisciplinary Centre of Marine and Environmental Research), supported by the European Union Horizon 2020 Framework Programme for Research and Innovation (2014-2020)." assertion.
- b79eab50-20de-4d76-a434-f936a4e4bbfe description "RO Main results" assertion.
- 083b4a00-4c47-43c1-89dd-9a3439d05adf description "Sampling Locations Map" assertion.
- 6c1db815-814d-4ebb-8905-65189a8d6b82 description "MPs mean concentration (%) by type from Douro and Ave Rivers estuaries." assertion.
- fb78a841-a55b-49ae-9922-b47f229d660f description "Principal Coordinates Analysis (PCO), showing similarities between microplastics type and colour and relation with selected estuaries. The percentage contribution of both axis is also indicated." assertion.
- 042f0584-c14d-4374-9158-d84f4677c9fe description "Presentation given at ESA-NASA Open Innovation for EO Programmes 2022. This presentation gives an overview of the PAngeo Community and perspectives on creating Open Source user workflows." assertion.
- a7dcbb78-e00c-44cc-9a8f-4436feef3e4a description "pdf presentation. Slides used to present the perspectives from the Pangeo Community on creating Open Source User Workflows. This presentation has been given by Anne Fouilloux at the ESA-NASA Open Innovation for EO Programmes 2022 (November 2-4 2022)." assertion.
- 5bce9059-bb3e-402d-a65d-4eff2a93e239 description "Presentation given at ESA-NASA Open Innovation for EO Programmes 2022. This presentation gives an overview of the PAngeo Community and perspectives on creating Open Source user workflows." assertion.
- ba6ad150-8ed3-4245-a8f1-79a470836ea9 description "pdf presentation. Slides used to present the perspectives from the Pangeo Community on creating Open Source User Workflows. This presentation has been given by Anne Fouilloux at the ESA-NASA Open Innovation for EO Programmes 2022 (November 2-4 2022)." assertion.
- 97352931-9830-4677-ad2a-1a2c7c71bf6c description "The H2020 Reliance project delivers a suite of innovative and interconnected services that extend European Open Science Cloud (EOSC)’s capabilities to support the management of the research lifecycle within Earth Science Communities and Copernicus Users. The project has delivered 3 complementary technologies: Research Objects (ROs), Data Cubes and AI-based Text Mining. RoHub is a Research Object management platform that implements these 3 technologies and enables researchers to collaboratively manage, share and preserve their research work. RoHub implements the full RO model and paradigm: resources associated to a particular research work are aggregated into a single FAIR digital object, and metadata relevant for understanding and interpreting the content is represented as semantic metadata that are user and machine readable. In our presentation at the 1st international FAIR Digital Object Conference, we will showcase different types of ROs for the 3 Earth Science communities represented in Reliance to highlight how the scientists in our respective disciplines changed their working methodology towards Open Science." assertion.
- 08f78342-54e0-439a-935a-5e31e0c01132 description "Presentation given by Anne Fouilloux during the FDO 2022 Conference at Leiden." assertion.
- 3af5ce63-e489-4915-86a2-1e92c4063291 description "Slides used by Anne Fouilloux for the presentation of FAIR Research Objects for realising Open Science with RELIANCE EOSC Project." assertion.
- 46614b87-a3cb-433f-b14f-287e307f5797 description "Conference Paper for the 1st International Conference on FAIR Digital Objects, 26-28 October 2022, Leiden (Nederlands)." assertion.
- 608d542c-c473-4f8f-bab7-67e466d33373 description "Website for the 1st International Conference on FAIR Digital Objects." assertion.
- 8954a283-5828-4b78-a462-82cea7084996 description "FDO2022 will conclude with the formal signing and publication of the ‘Leiden Declaration on FAIR Digital Objects’, which text you can see below. While the signing will take place at the end of the conference, in Leiden, we would like to invite you to add your name to the movement initiated by FDO2022 by signing the declaration online. It is an opportunity for all of us working in research, technology, policy and beyond to support an unprecedented effort to further develop FAIR digital objects, open standards and protocols, and increased reliability and trustworthiness of data. In short, a new environment that works as a truly meaningful data space. You can sign the declaration using the button at the end of the page. Join us!" assertion.
- b1f53ad7-cec8-4798-9712-715caeee0ce1 description "Picture taken during the closing ceremony of the FDO2022 Conference at Leiden." assertion.
- f91c6064-771c-4ef9-855a-8c449b7e94bf description "Picture taken during the final ceremony of the FDO 2022 Conference in Leiden." assertion.
- fe1646eb-93c3-453d-b196-82b8e6bda529 description "A short video to introduce the 3 RELIANCE services. RoHUB is a Research Object web portal to create and manage Research Objects. Text mining service aims at enriching Research Objects (AI service). And the ADAM platform is a datacube service that enables efficient access to large amount of Earth Observation data such as Copernicus Satellite observations." assertion.
- 87f47505-75d1-4658-862c-36f491d1ea26 description "The research object refers to the Template notebook published in the Environmental Data Science book." assertion.
- 92654099-ca41-4bc3-8450-0b5b267861a6 description "The research object refers to the Template notebook published in the Environmental Data Science book." assertion.
- c60a3a02-d72c-44ec-830a-736fae79158e description "The research object refers to the Exploring Land Cover Data (Impact Observatory) notebook published in the Environmental Data Science book." assertion.
- 011d0b31-349a-4e94-9a67-fd9281c44fbd description "Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- 1e4edb95-d9c3-4bfc-b0bf-6ee50cdc5513 description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- 2a1b2bb4-b31d-458f-8328-a33089e3bfcd description "Lock conda file for win-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- 3b6fdf69-fb7b-4f82-8b8e-8344cbfc823c description "Contains outputs, (figures and tables), generated in the Jupyter notebook of Exploring Land Cover Data (Impact Observatory)" assertion.
- 4065ab45-e5c0-4acf-a384-00c005f92504 description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- 86077931-0633-452c-9851-4c989850606a description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- b8caa823-ce11-4ffa-af4c-909e13b315c7 description "Related publication of the exploration presented in the Jupyter notebook" assertion.
- c11b41b7-e60e-409c-8465-4fc67751095c description "Contains input of the Jupyter Notebook - Exploring Land Cover Data (Impact Observatory) used in the Jupyter notebook of Exploring Land Cover Data (Impact Observatory)" assertion.
- d0ebb352-0fbe-4447-96ff-a7b6caa651fd description "Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- debd122e-7e32-4597-ab6a-3b2420e7d7b2 description "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- a1fe8d87-7ca4-4846-ab84-869b9d8a2b57 description "This research object focusses on presenting a tentative microplastics sampling and analysis methodology in seawater environment." assertion.
- 0ae1f536-17d8-4056-b34e-ba2671516259 description "A red filament, with dimension of 542 µm was detected from Stara Baška water sample." assertion.
- 2d80a09e-f2ae-4aed-8c76-317bf1069ce1 description "The filter papers were examined for the presence of microplastics (MPs) using an optical microscope (Olympus microscope BX 51 M) with acquisition and image analysis software, magnification from 50x up to 500x and resolution of 1 µm. All experiments were performed in triplicates. Two persons examinate each sample and the number of MPs was recorded." assertion.
- 3a8e2607-788c-4b89-a281-d2afe68e72b7 description "Two black microplastics, as filament type, with dimensions of 600 µm and 3331 µm were detected from Krk water sample." assertion.
- 4c539ae0-ecac-400a-a20f-1d021ff19415 description "A black filament, with dimension of 2096 µm was detected from Stara Baška water sample." assertion.
- 4cbd9d44-ee75-45ab-adc1-2ff622053d90 description "A brown filament with dimension of 2247 µm was found in Krk water sample." assertion.
- 5991d525-5b17-452a-b7b4-37854bdc186a description "This study investigates the occurrence and characterization of microplastic contamination in the Adriatic Sea, where different plastic waste generating activities from neighboring countries are considered as a pollution source" assertion.
- 70bf2f8b-ac74-4c8c-be1c-e8c907142572 description "Detection of microplastics were performed by optical microscopy. In this step, the establishing of microplastics morphology, color, size and relative amount per liter were achieved." assertion.
- 7275f740-5343-4d69-9053-3228beb3a873 description "A black mini-microplastic, as filament shape, with dimension of 604 µm was detected in Omišalj water sample." assertion.
- bf1dad4b-5193-47ff-b139-bb6169e6af92 description "A black filament with diameter of 554 µm was detected in Saint Mark’s Basin water sample." assertion.
- c11feaf9-962a-4474-a13e-8f5253e004e0 description "The results of this scouting scientific investigation show the presence of microplastic particles in all sampling locations, with an exception in the case of Melska site." assertion.
- d6602c54-2283-47f2-9ea7-8cddf7396475 description "About 50 mL of 30% H2O2 for sample (reagent was previously filtered by 0.45 µm pore size) was used for preserve the plastic, while removing organic matters. During this step, the Berzelius beakers are covered with aluminum foil to prevent the air borne plastic contamination." assertion.
- e9d05ae0-04fb-4141-987e-9d52661c5cd8 description "A transparent fragment with dimensions of 271 µm x 108 µm was identified by using optical microscopy analysis from Saint Mark's Basin water sample." assertion.
- f762c31a-8e47-40a2-bdf1-42d6f479aa2f description "Filtration was performed by using a vacuum pump together with a suction flash filter (glass microfiber filter, with pore sizes of 1.6 µm, 1 µm or 0.7 µm, respectively, diameter of 47 mm, weighed before). Distilled water and ethanol 70%, at the end, are used for washing and easy drying of microplastics. Blank controls (n >=3) are processed simultaneously to avoid contamination from airborne particles." assertion.
- 59fb5813-d6c0-41b0-96a8-9ce42df766ee description "The research object refers to the Detecting floating objects using deep learning and Sentinel-2 imagery notebook published in the Environmental Data Science book." assertion.