Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAyyhxt_SVihMrRCuMaVA5BYm1wlhM9pE-by55MBfeU3c/assertion>. }
- ef74fa48-3a3c-4531-b0c7-07e6118a8321 type Place assertion.
- f0079dd0-7f62-4e1a-ab70-c66b9c2f81de type Concept assertion.
- f0476d1c-3084-4ee5-9898-a407f35638ac type Place assertion.
- f1b0ae51-e70d-4f37-8c33-1ef3c188d97b type Place assertion.
- f1bc3505-67f4-46a4-b796-b80aafdb5f8b type Place assertion.
- f500ff60-b624-41e8-b7d0-5c387d69ef33 type Place assertion.
- f77253ef-4500-46c2-96e3-0401d1959433 type Lemma assertion.
- f7784da9-13ad-4460-b9a7-3e11a6c2bb4c type Lemma assertion.
- f8451b6e-0b6d-4655-b2bb-5f68cbcd8b1c type Phrase assertion.
- f8948ce4-a613-485c-9504-0086bae95e08 type Concept assertion.
- f8f20cea-b7e4-4e81-afb7-87867d279784 type Place assertion.
- f96766db-1add-4a6d-b9b3-12f5d60629f9 type Concept assertion.
- faba5f21-c10a-489a-a430-3478961c221a type Place assertion.
- fea4454b-67d9-4a24-ba64-880eb109816a type Place assertion.
- ffecab80-1d67-4400-b04d-0e7178620a09 type NASA assertion.
- NO2_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc type Dataset assertion.
- NO2_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc type Resource assertion.
- NO2_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc type MediaObject assertion.
- 00vn06n10 type Organization assertion.
- 00vn06n10 type Agent assertion.
- 2919 type DefinedTerm assertion.
- 3949 type DefinedTerm assertion.
- 0000-0002-1784-2920 type Agent assertion.
- 0000-0002-8763-1643 type Agent assertion.
- 8dbdc420-0063-452d-ada6-2679c3137cd9 type community assertion.
- 3f5b49d5-6f99-4ddb-88ac-4b662e8edd90 type community assertion.
- 2854d8d7-73ab-4997-9db6-3e70f1b851b2 type Place assertion.
- 466d6692-d9c9-433f-9a2c-beb14563ea30 type Place assertion.
- 6b586fc6-a808-429a-9a36-8625f01be4cd type Place assertion.
- 9187f861-65bd-4af4-b2b2-ca0e18ee742c type GeoShape assertion.
- a45238a3-1de2-4e28-ba47-8f25d50305d7 type GeoShape assertion.
- db82cc95-817b-44b3-9ef5-14c1b9c880de type GeoShape assertion.
- e7550f0f-c1fc-4a4e-a877-79b97dcd1c08 type Place assertion.
- f4535910-eebf-4c68-86fb-f2652f3b3e36 type GeoShape assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf mainEntity "Jupyter Notebook" assertion.
- eec6faaa-e133-47d4-b377-44f7d06a9654 isFinalized "False" assertion.
- eec6faaa-e133-47d4-b377-44f7d06a9654 isSnapshotOf 998dccd6-7192-4d88-af39-6018c71e6bdf assertion.
- eec6faaa-e133-47d4-b377-44f7d06a9654 snapshotedAtTime "2023-02-19 13:23:07.855375+00:00" assertion.
- eec6faaa-e133-47d4-b377-44f7d06a9654 snapshotedBy annef%40simula.no assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf hasSnapshot eec6faaa-e133-47d4-b377-44f7d06a9654 assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G dataType "Float32" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G dataType "Float32" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G dataType "Float32" assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G datasetManager "mailto:govoni@meeo.it" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G datasetManager "mailto:govoni@meeo.it" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G datasetManager "mailto:govoni@meeo.it" assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G maxValue "[1.354510459350422e-07]" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G maxValue "[2.2007016298175586e-07]" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G maxValue "[709.8012084960938]" assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G minValue "[0.0]" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G minValue "[0.0]" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G minValue "[0.0]" assertion.
- 3952 description "" assertion.
- 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.
- 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=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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 2919 description "" assertion.
- 3949 description "" assertion.
- 8dbdc420-0063-452d-ada6-2679c3137cd9 description "NICEST-2 - the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives." assertion.
- 3f5b49d5-6f99-4ddb-88ac-4b662e8edd90 description "The main interest is upon marine litter pollution and in particular ranging from marco to mirco and nano size. In encompasses data from citizen science monitoring and sampling activities in cooperation with research-educational institute and centers." assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G contentLocation e7550f0f-c1fc-4a4e-a877-79b97dcd1c08 assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G contentLocation 466d6692-d9c9-433f-9a2c-beb14563ea30 assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G contentLocation 2854d8d7-73ab-4997-9db6-3e70f1b851b2 assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf contentLocation 6b586fc6-a808-429a-9a36-8625f01be4cd assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf contentSize "378903" assertion.
- 084b7991-70e0-48c1-af37-5bf6e1e21196 contentSize "384679" assertion.
- 2d7f45dc-c147-483a-83c4-356e2f69068b contentSize "46709" assertion.
- 49c08d71-ef52-4ae1-9ddb-cd43bc204d84 contentSize "46709" assertion.
- 885820ec-21c6-4045-96cd-716e2ae42102 contentSize "162243" assertion.
- 9777f9c8-388f-49e7-b027-a1dc933c2398 contentSize "63516" assertion.
- da17f3c5-cc88-46fe-bd6e-3e7c278f8df0 contentSize "39986" assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf contributor 0000-0003-0745-4155 assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf contributor mailto:mantovani@meeo.it assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf contributor 0000-0002-8763-1643 assertion.
- parting-the-sea-to-save-venice dateCreated "2023-01-08 19:58:47.516622+00:00" assertion.
- 10.1016%2Fj.marpolbul.2021.112124 dateCreated "2023-01-08 19:24:00.526730+00:00" assertion.
- content dateCreated "2023-01-08 19:37:15.986538+00:00" assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G dateCreated "2023-01-08 19:40:14.176174+00:00" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G dateCreated "2023-01-08 19:41:17.789149+00:00" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G dateCreated "2023-01-08 19:42:25.690080+00:00" assertion.
- 0869e396-3733-4aff-8fb2-94c8937b28aa dateCreated "2023-01-08 19:15:20.212877+00:00" assertion.
- 53aa90bf-c593-4e6d-923f-d4711ac4b0e1 dateCreated "2023-01-08 19:14:03.311972+00:00" assertion.
- 2a2b6f01-be2e-414e-af08-d882aa995a71 dateCreated "2023-01-08 19:21:48.221333+00:00" assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf dateCreated "2023-01-08 18:47:51.996769+00:00" assertion.
- 084b7991-70e0-48c1-af37-5bf6e1e21196 dateCreated "2023-12-06 19:20:08.956858+00:00" assertion.
- 2d7f45dc-c147-483a-83c4-356e2f69068b dateCreated "2023-12-06 19:46:49.229830+00:00" assertion.