Nanopublications LDF server

Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }

• c8989c2a-8ea6-4999-847f-a95ae91efb3e description "ADAM DataCube July 2002 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• cacce56c-fcc6-42d3-983a-3c988fd855e8 description "ADAM DataCube July 2013 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• cfe9fa11-7da4-4df9-9134-402f0a6014cd description "ADAM DataCube August 2010 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• dc2a995f-1069-49b0-8136-ff2dfdf84fb7 description "ADAM DataCube June 2010 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• dd803ad7-fad8-41a8-928a-1d7411f8fccc description "ADAM DataCube August 2018 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• e310773f-237c-4a00-9102-af8a893235ac description "ADAM DataCube August 2009 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• e73a7ecb-53a4-416b-9654-cf9764aeee81 description "🐳 🔬 📚 Jupyter running in a docker container. The version used by this study is 2021-03-18 and it was used through the Galaxy Europe JupyterLab Climate Interactive Tool." assertion.
• e75ddead-884b-42cb-b4c4-f129f67f0243 description "ADAM DataCube August 2004 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• e87a1174-870d-4fef-b440-f81ec07ea15f description "ADAM DataCube June 2016 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• eb7f79db-b7c6-4ae5-a9c7-4f1ec0920f28 description "ADAM DataCube July 2003 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• f162313d-33a3-47b9-aadd-d12efc0ed5d4 description "ADAM DataCube August 2012 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• f2bec97b-8a65-4a82-bb53-fafe0a62e04e description "Summer melting of sea ice leads to the formation of under-ice melt ponds in Arctic seas. The biological characteristics of such a pond were studied in summer 1993. The chlorophyte Pyramimonas sp. (Prasinophyceae) formed a unialgal bloom with cell densities of 19.1 x 103 cells ml-1 and a pigment concentration of 29.6 mg m-3. A comparison with ice core data revealed differences in algal biomass and community structure. Physical data indicate that under-ice ponds are a common feature in the Arctic Ocean. Thus, communities within under-ice ponds, which have not been included in production estimates, may significantly contribute to the Arctic marine food web." assertion.
• f3df893f-fab6-4364-b12e-772ce14f70d1 description "ADAM DataCube July 2014 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• f5b5f7fd-d4a6-4b49-93f0-850f529de503 description "ADAM DataCube June 2005 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• fa5e85c4-eb32-45f6-8d25-f2e2caa2f983 description "ADAM DataCube June 2015 MODIS Chlorophyll-a Concentration(monthly)" assertion.
• 856f73c4-e75d-40e7-b821-bf41900b2211 description "Gather resources on citizen science project on climate and air quality, etc." assertion.
• 6f370738-a68b-4967-9ffc-c7c812a8b327 description "a video showing several initiatives in Norway and elsewhere." assertion.
• 73b2764b-7807-4603-b0a3-aafcc7e35131 description "This program correspond to the video "Citizen local initiatives event in Norway"." assertion.
• 989973f3-43f5-4e9b-b5bf-a7781cdcf4bf description "On a rain-soaked day, thousands marched on Washington DC to fight for science funding and scientific analysis in politics. Photo by Vlad Tchompalov on Unsplash" assertion.
• ebb896c0-5763-4bb4-b928-11ee9162249c description "Make it easier to use and share resources (including data, software) on Climate Sciences." assertion.
• 778cc738-23d4-42f5-aa5c-2b2b9e3c51dc description "This research object aggregates all the resources we are creating to on-board master students and researchers in using ROHub to create FAIR digital objects." assertion.
• 039d5b17-3b26-4555-8820-2fc2c69a16b4 description "Fun tool for writing, initially designed for non-native English speakers, but I think it’s great for anybody writing for academic audiences." assertion.
• 0e6b6ee6-a8dc-4341-a77f-bd7c3fa6da80 description "This youtube playlist from NordicESMHub Youtube channel contains a series of videos for learning to create, modify and populate Research Object in ROHub. The main goal is to teach master students all the basics to create a FAIR digital object associated to their Master Thesis." assertion.
• 37e361eb-832b-416f-9fa7-b94ed2ed49d8 description "Pilot project: Getting ready to deliver your Master thesis and for the IT “clearance”" assertion.
• 592004b6-1385-4e96-8bbc-9f7e73a72940 description "The rendered version of the Jupyter book is automatically rendered with jupyter-book and published in github pages gh-pages" assertion.
• 62926e4c-8478-4c18-acd1-f81b4fc4c2b8 description "This figure has been created to illustrate all the different steps a student needs to follow to create a FAIR digital Research Object and publish it along with its Master thesis." assertion.
• 822bdaa1-654c-457f-936d-ee1d590427bf description "Update Research Object for aggregating all the resources we use and generated for creating a checklist for master students" assertion.
• faf744f0-63dc-4236-b24f-e7eb531b5439 description "This research object is the one created step by step in the videos and aimed at showing master students on how to create a FAIR digital Research Object for their master thesis." assertion.
• 7f907b0e-d08b-4d55-a272-7561564d8272 description "This Research Object aggregates all the resources needed for running Galaxy EODIE: i) Examples of input datasets needed for running EODIE on Galaxy; ii) Galaxy Workflow (.ga) and corresponding CWL abstract and diagram; iii) Link to a published Galaxy history." assertion.
• 065d8f8b-2bed-467e-b480-cd8c672f5afc description "This Python Jupyter Notebook load this Research Object, update it e.g. add additional metadata information and fill its content. It also show the area of interest by visualizing the Sentinel-2 tile and the parccel shapefile where NDVI is calculated with EODIE Galaxy Tool." assertion.
• 41e5e1b2-718a-49e0-9df6-53f0de78200d description "This input dataset is a shapefile corresponding the the area of interest e.g. on which statistics such as NDVI will be computed." assertion.
• 44ceffcb-b1c9-4736-94f9-9aa999e9a522 description "This is a link to Workflow Research Object stored in workflowhub.eu. It contains a Galaxy workflow (.ga), abstract CWL (.cwl) and diagram (.png)." assertion.
• 6ed30951-7abb-4df6-aad5-0a6fee3c893f description "Abstract CWL Automatically generated from the Galaxy workflow file: Workflow constructed from history 'EODIE Sentinel'" assertion.
• be0c5256-e3c9-4def-b0a4-de276e189966 description "This output is the logfile generated when running EODIE Galaxy Tool over the specified geographical area (test_parcels_32635) and with the input Sentinel-2 dataset." assertion.
• cb58370e-ba21-4787-acb3-81eb584e6c37 description "This output dataset is a csv file containing NDVI values computed over the specific geographical area e.g. given by the input shapefile called 'test_parcels_32635'." assertion.
• d1bcc2ba-f6bc-4b43-93ee-f87fb5d74403 description "Tarball containing the EODIE source code release 1.0.2 and its associated documentation." assertion.
• d2b9dd55-404e-435e-948f-b4ec1ca270a2 description "This input dataset corresponds to the Sentinel-2 tile shapefile, originally provided by https://fromgistors.blogspot.com/2016/10/how-to-identify-sentinel-2-granule.html," assertion.
• e0dfb6fa-2bd7-4446-b4af-7a28d1465def description "Link to the Galaxy Tool shed for EODIE Galaxy Tool repository. This repository is useful whenever you want to install EODIE Galaxy Tool in your own Galaxy instance. The version used in this example is revision: 0:81b0ca76435d" assertion.
• ee26fe51-da94-4422-91f5-26e48472665f description "Sentinel2 input data. This input dataset corresponds to the data itself while sentinel2_tiles_world would be the corresponding shapefile for the tile." assertion.
• f45188b8-9e30-4fc4-81ba-bead5886876c description "Online documentation of EODIE Toolkit." assertion.
• f57272e3-e05b-4ad3-89a2-677d27c496c8 description "This Galaxy history contains all the inputs and generated outputs for this EODIE example. If you have an account on Galaxy Europe (if not you can open one), you can import this history and reuse it." assertion.
• 1f27c890-61d1-447d-a9a0-4b55d2c2282b description "This Research Object aggregates all the resources needed for running Galaxy EODIE: i) Examples of input datasets needed for running EODIE on Galaxy; ii) Galaxy Workflow (.ga) and corresponding CWL abstract and diagram; iii) Link to a published Galaxy history." assertion.
• 065d8f8b-2bed-467e-b480-cd8c672f5afc description "This Python Jupyter Notebook load this Research Object, update it e.g. add additional metadata information and fill its content. It also show the area of interest by visualizing the Sentinel-2 tile and the parccel shapefile where NDVI is calculated with EODIE Galaxy Tool." assertion.
• 41e5e1b2-718a-49e0-9df6-53f0de78200d description "This input dataset is a shapefile corresponding the the area of interest e.g. on which statistics such as NDVI will be computed." assertion.
• 44ceffcb-b1c9-4736-94f9-9aa999e9a522 description "This is a link to Workflow Research Object stored in workflowhub.eu. It contains a Galaxy workflow (.ga), abstract CWL (.cwl) and diagram (.png)." assertion.
• 6ed30951-7abb-4df6-aad5-0a6fee3c893f description "Abstract CWL Automatically generated from the Galaxy workflow file: Workflow constructed from history 'EODIE Sentinel'" assertion.
• be0c5256-e3c9-4def-b0a4-de276e189966 description "This output is the logfile generated when running EODIE Galaxy Tool over the specified geographical area (test_parcels_32635) and with the input Sentinel-2 dataset." assertion.
• cb58370e-ba21-4787-acb3-81eb584e6c37 description "This output dataset is a csv file containing NDVI values computed over the specific geographical area e.g. given by the input shapefile called 'test_parcels_32635'." assertion.
• d1bcc2ba-f6bc-4b43-93ee-f87fb5d74403 description "Tarball containing the EODIE source code release 1.0.2 and its associated documentation." assertion.
• d2b9dd55-404e-435e-948f-b4ec1ca270a2 description "This input dataset corresponds to the Sentinel-2 tile shapefile, originally provided by https://fromgistors.blogspot.com/2016/10/how-to-identify-sentinel-2-granule.html," assertion.
• e0dfb6fa-2bd7-4446-b4af-7a28d1465def description "Link to the Galaxy Tool shed for EODIE Galaxy Tool repository. This repository is useful whenever you want to install EODIE Galaxy Tool in your own Galaxy instance. The version used in this example is revision: 0:81b0ca76435d" assertion.
• ee26fe51-da94-4422-91f5-26e48472665f description "Sentinel2 input data. This input dataset corresponds to the data itself while sentinel2_tiles_world would be the corresponding shapefile for the tile." assertion.
• f45188b8-9e30-4fc4-81ba-bead5886876c description "Online documentation of EODIE Toolkit." assertion.
• f57272e3-e05b-4ad3-89a2-677d27c496c8 description "This Galaxy history contains all the inputs and generated outputs for this EODIE example. If you have an account on Galaxy Europe (if not you can open one), you can import this history and reuse it." assertion.
• ae86fae3-f7a9-4582-9582-d3e5cf27881e description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• 9dda85b5-db3b-4167-8afb-034615cc16c8 description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• 90170231-63d3-49ed-b136-4f06c562ab35 description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• f695db70-62da-434b-a366-5f175494894e description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• 1d9c7bde-4991-4da3-a73f-7f0e2e7d551b description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• 7b712a64-9f59-4e6b-a209-b36b88feeee7 description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• 5922be96-b69d-429c-ab13-5852cdcd6d09 description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• 687e0266-fe8a-408c-9fb4-57c48640d700 description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• 9b2a8c25-30c1-4dc2-9520-96d26cb29e72 description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• 258c5e83-ce3b-4ea2-a845-23d0aebdae7d description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• 648630a1-c6a3-4f64-8a39-e4cd29a55221 description "The water supply from the Himalayan and Tibetan Plateau is of great importance for millions of people (Bookhagen & Burbank 2010). The water from this region provides drinking water, supports agricultural demands, is used for hydropower generation and other agro-economic activities (Ménégoz et al. 2013). The countries in the High Mountain Asia (HMA) region have a huge potential for developing hydropower making the shift towards a greener economy more feasible. The main objective of this study is to evaluate the Shyft modelling framework in its ability to simulate main water balance components, especially discharge, in the specific conditions of the Budhi-Gandaki catchment with scarce data and extreme topography. • Is the model able to capture precipitation variations on the leeward and windward sides of the catchment, and predict discharge adequately? • How sensitive the model is to the forcings, spatial representation (grid or triangular- irregular networks) and scales? References: Bookhagen, B. & Burbank, D. W. (2010), ‘Toward a complete himalayan hydrological budget: Spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge’, Journal of Geophysical Research: Earth Surface 115(F3). Ménégoz, M., Gallée, H. & Jacobi, H. (2013), ‘Precipitation and snow cover in the himalaya: from reanalysis to regional climate simulations’, Hydrology and Earth System Sciences 17(10), 3921–3936." assertion.
• 496c7ef2-5f31-4cfe-a21f-45098ff69280 description "Description of the Bundhigandaki river basin" assertion.
• 4d4e214a-686f-4e46-9f20-48fdee8b5e48 description "Information about the snowline and snow cover in Nepal" assertion.
• 5a76bb21-d3c3-4df0-a86e-2c1e3687e5ed description "Evaluation of forcing datasets for data-sparse Himalayan regions" assertion.
• 8aa703f8-199b-4d5d-a36d-bc5a2c2b9877 description "Describing the Shyft platform and how it can be used for operational hydrology" assertion.
• 90db8a94-1748-4f9b-860a-62298aade1d3 description "Description of climatic zones in Nepal" assertion.
• 9f64506c-dfed-428e-a776-22d72d3cddfa description "Describes the WFDE5 datasat" assertion.
• c46f0731-c907-40c4-8e96-8488437135cd description "Relative contribution of rainfall, snowfall and evapotranspiration to mean river discharge in Hamalaya" assertion.
• cfec4b7c-8cc4-43f7-9b6c-e48f0654a838 description "A working paper with a situational analysis of the Gandaki basin carried out by the Himalayan Adaptation, Water and Resilience (HI-AWARE) reasearch initiative." assertion.
• d775a9cb-9c44-4136-8351-9c509d88983e description "Description of the Bundhigandaki river basin" assertion.
• ee6525ad-4401-453a-9eba-10ef231e3a1d description "Description of climatic zones in Himalaya" assertion.
• fb4c7c04-817f-4178-abfd-fb2ee92c5257 description "GitHub repository for Master Thesis project" assertion.
• 00635a9e-6a0b-4280-84a3-0a622bf27482 description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• e6c440ad-091d-404c-bf28-a2ee04be4eaa description "Investigating the vertical structure of the currents in arctic and sub-arctic region, first descriptivt and if time compaire it to analytical modes from theory." assertion.
• 4a7315ba-326c-402b-b2c9-f3667357b0bc description "Write description of your master thesis. Can be a summary." assertion.
• 835d2bc9-3ae4-4324-b084-68ff159c50eb description "Write here why and how you have used this publication in your Master Thesis. Did you use it for writing your introduction and the background? Does it contain the method you have been using in yoru Master Thesis? Add here all the information you think may be relevant for someone who is reading your Master Thesis and starting on a similar topic." assertion.
• 114d6770-78b5-4f7a-a357-360cc8095bf1 description "Volcanic Column Top Height calculation using Dark Pixel method in a 19x19 EUMETSAT/SEVIRI box around Etna volcano. Radiosounding provided by WMO in Trapani station." assertion.
• ff76855f-ada3-4a78-a213-ee7b91364dcb description "This Research Object has been created by the Reliance-Jupyter of the ADAM platform. It contains preliminary results from the run of the VSM code, related to the modelling of the dike feeding the eruption of 22 May 2021 at Nyiragongo Volcano (Dem. Rep. Congo) based on remote sensing data (Sentinel-1). Ascending orbit 13-05-2021/25-05-2021, descending orbit 21-05-2021/02-06-2021." assertion.
• 3bcd6b97-1da4-48b3-aa24-ea71d6579237 description "Data - Model - Residuals with InSAR ascending data" assertion.
• 50740564-6f89-4b8b-a44c-d3447cb5589c description "VSM input file" assertion.
• 80e3a948-59d8-48f7-b552-eac03b867657 description "Jupyter Notebook for running the VSM code with geodetic data related to Nyiragongo syn-eruptive phase" assertion.
• 8e3ea569-f2c2-4ff8-be4a-506201b4fc04 description "Subsampled ascending and descending Sentinel-1 data" assertion.
• bf4192ae-fd38-4659-97b0-8ffad60762ae description "This Research Object has been created by the Reliance-Jupyter of the ADAM platform. It contains results from the run of the VSM code, related to the modelling of the dike feeding the eruption of 22 May 2021 at Nyiragongo Volcano (Dem. Rep. Congo) based on remote sensing data (Sentinel-1). Ascending orbit 13-05-2021/25-05-2021, descending orbit 21-05-2021/02-06-2021." assertion.
• 3bcd6b97-1da4-48b3-aa24-ea71d6579237 description "Data - Model - Residuals with InSAR ascending data" assertion.
• 50740564-6f89-4b8b-a44c-d3447cb5589c description "VSM input file" assertion.
• 8e3ea569-f2c2-4ff8-be4a-506201b4fc04 description "Subsampled ascending and descending Sentinel-1 data" assertion.
• a4431c23-ea25-4c94-af3c-7d5ee178d78f description "Jupyter Notebook for running the VSM code with geodetic data" assertion.
• 8e232746-8c6f-4e55-bc9a-4db222e86ca1 description "Projections of global climate change and Arctic amplification are sensitive to the representation of low-level cloud phase in models, which constitutes an important model uncertainty. Ice nucleating particles (INPs) are necessary for primary ice formation in clouds at temperatures above approximately -38°C, and can therefore be important for cloud phase and the radiative effect of clouds. Knowledge of these INPs is limited, especially in remote regions such as the Arctic. In this thesis, observations of INPs acting in the immersion mode were carried out at Andenes, Norway, during cold air outbreaks in March 2021. The INP concentrations were quantified using the home-built DRoplet Ice Nuclei Counter Oslo. The observations show that the INP concentration was uncorrelated with aerosols of size ≥ 0.5 μm and the total organic carbon in the adjacent sea water, used as a proxy for a potential INP source. Based on this nature of the INP concentrations, the INP observations were used as a basis for a new and purely temperature-dependent parameterisation of immersion freezing INPs for the Arctic and implemented into the Norwegian Earth System Model. The implementation of the parameterisation results in an average increase in cloud liquid water path of 9.2 g/m² for the Arctic in the present climate, and significantly improves the supercooled liquid fractions for each cloud isotherm, compared to CALIOP LiDAR observations from Space. The change in cloud liquid water path is found to likely be the dominant contributor to the simulated average increase in net cloud radiative effect at the surface of 2 W/m². This results in a lower limit estimate of an average temperature increase of 0.3°C in the Arctic, with a seasonal maximum of 0.7°C in boreal autumn. These findings indicate that INPs could have a significant impact on Arctic clouds and radiation, and that further research on INPs is important to determine their effect in a changing climate." assertion.
• ba7b761a-2690-45c3-a80b-61e531a4b41f description "This publication describes the development of an instrument that measure the ice nucleating efficiency of droplets, development by my supervisor Robert David. The instrument used in this thesis was directly based on the instrument in this publication." assertion.
• 45841548-0362-4aea-80f2-ea71d81a691f description "The Virunga was established in November 2017 as a permanent Supersite with the aim of improving the geophysical scientific research and Geohazards assessment in support of Disaster Risk Reduction (DDR) in the Virunga Volcanic Province and the Lake Kivu basin. On the evening of May 22nd 2021, Nyiragongo volcano suddenly erupted from three vents that opened along a system of fractures on the southern flanks of the volcano. Two major lava flows were produced with one having its direction toward Goma city. An intense seismic activity followed the eruption and persisted for ~2 weeks, and caused sever damages to houses and infrastructures such as roads, water and electricity networks. This raised a scenario of a new eruption with active vents inside Goma city or Lake Kivu, and led local authorities to evacuate estimated 400,000 people. Virunga Supersite scientific team supported the response to the Nyiragongo 2021 volcanic crisis through data processing, which yielded the production of key information that was delivered to local authorities and supported the management of the volcanic and humanitarian crises. In September 2021 a new effusive activity began inside Nyiragongo main crater, along with a sustained seismic activity and ground deformation to the southern flank of the volcano. The fast renew of the activity denotes the strong and urgent need to starting prepare for the next Nyiragongo volcanic eruption; and the Virunga Supersite is willing to be part of this goal. This preparation strongly need an enhanced monitoring infrastructure that would permit follow up the complex Nyiragongo-Nyamulagira rift-zone volcanism, forecast the spatiotemporal extent of the next eruption which will reduce its impacts. Furthermore, a proper training of local scientists is part of the well properness to the next Nyiragongo crisis, which the Supersite has already started. TEAM Charles Balagizi; Georges Mavonga; Albert Kyambikwa; Arsène Sadiki; Honoré Ciraba; King Iragi; Jonathan Kavuke; Sandra Nzamu; Bonheur Ngangu; Niche Mashagiro; Marcellin Kasereka; Faustin Safari; Marcel Bahati Rusimbuka; Titus Habiyakare; Tite Niyitegeka; Bo Galle; Michael Poland; Marcello Liotta; Yosuke Aoki; Adriano Nobile; Gaetana Ganci; Annalisa Cappello; Cristina Proietti; Stephan Kolzenburg; Sven Borgstrom; Mario Mattia; Eugenio Privitera; Mauro Coltelli; Sebastien Valade; Diego Coppola; Peter Kelly; Julia P Griswold; Cristiano Tolomei; Lisa Beccaro; Elisa Trasatti" assertion.
• a1ec1b21-559d-45db-b501-272f594688a1 description "Link to the pdf of the report" assertion.
• fbb58fa3-0971-40ff-bbff-5205cf9d4051 description "This is the link to the Virunga Supersoite (DR Congo) in the GEO-GSNL website" assertion.
• 21f214d9-214a-4abf-bd75-6e877a920276 description "This work intends to demonstrate the occurrence of the urban heat island phenomenon over the city of Fortaleza (Brazil). We start with aggregating bibliography and other relevant documents/data (ERA)" assertion.
• 0d42c712-823e-4ec5-8ab3-bf7a171a0470 description "This work intends to demonstrate the occurrence of the urban heat island phenomenon over the city of Fortaleza (Brazil). We start with aggregating bibliography and other relevant documents/data (ERA5-Land). We access ERA5-Land from the RELIANCE datacube resources, by using the functionalities provided in the Adam API." assertion.
• 3b358696-bdf3-4517-a2a2-44addc2115e0 description "Private Research Object for our internal work." assertion.
• a29fa6cd-0416-4535-b045-a73c75526a4e description "2 metre temperature were extracted from ADAM Platform (ERA5-Land) for 3 years: 2004, 2005 and 2006. For each year, we have downloaded daily data from February to end of May. We will then analyze the trend over a longer period of time." assertion.

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