Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- 3956 description "" assertion.
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- ad39ad6e-a644-46fa-a189-4dc66389314a description "As anyone who has spent time with cats knows, our feline companions are mysterious—much more so than those other furry family members. Here John Bradshaw, author of Cat Sense (Basic Books, 2013), fields a selection of questions submitted by Scientific American editors and Twitter followers about the cat’s many quirks. Bradshaw is a visiting fellow at the University of Bristol School of Veterinary Sciences in England, where he studies the behavior and welfare of cats and dogs, as well as their interactions with people." assertion.
- ad39ad6e-a644-46fa-a189-4dc66389314a description "As anyone who has spent time with cats knows, our feline companions are mysterious—much more so than those other furry family members. Here John Bradshaw, author of Cat Sense (Basic Books, 2013), fields a selection of questions submitted by Scientific American editors and Twitter followers about the cat’s many quirks. Bradshaw is a visiting fellow at the University of Bristol School of Veterinary Sciences in England, where he studies the behavior and welfare of cats and dogs, as well as their interactions with people." assertion.
- d14c540e-0a98-4c7f-a028-d535535369ac description "The research object refers to the Vehicle-based observation data processing and simple simulation experiments notebook published in the Environmental Data Science book." assertion.
- 53c2fd9e-da7c-4f78-9937-09e3f24d1327 description "TikTok is a short video sharing social media platform that has grown rapidly since its launch, amassing over 1 billion monthly global users as of September 2021.1 Users on TikTok create and engage with algorithm- suggested content related to their interests on a variety of subjects, including health- related or implicated topics. The global growth of TikTok, while offering an engaging experi ence for users and approach to connecting to diverse people, is accompanied by concerns, such as the quality of health advice offered in videos and sensitive content. In this commen tary, we argue that public health is served by paying urgent attention to the potential health- related implications and opportuni ties of TikTok and suggest a research agenda to inform decision- makers, health providers, researchers and the public." assertion.
- 53c2fd9e-da7c-4f78-9937-09e3f24d1327 description "TikTok is a short video sharing social media platform that has grown rapidly since its launch, amassing over 1 billion monthly global users as of September 2021.1 Users on TikTok create and engage with algorithm- suggested content related to their interests on a variety of subjects, including health- related or implicated topics. The global growth of TikTok, while offering an engaging experi ence for users and approach to connecting to diverse people, is accompanied by concerns, such as the quality of health advice offered in videos and sensitive content. In this commen tary, we argue that public health is served by paying urgent attention to the potential health- related implications and opportuni ties of TikTok and suggest a research agenda to inform decision- makers, health providers, researchers and the public." assertion.
- 5608 description "" assertion.
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- 4 description "Archival copy of the GitHub repository https://github.com/haotianteng/BoostNano downloaded 18-July-2025. BoostNano, a tool for preprocessing ONT-Nanopore RNA sequencing reads.This project is licensed under the MPL 2.0 license. Please refer to the GitHub repo for most recent updates." assertion.
- other-files description "This dataset contains too many files that are not individually described" assertion.
- boostnano_no_dorado_R1_tails.csv description "PolyA tail lengths as found by Boostnano for R1 sequins which were filtered out by Dorado but kept by Boostnano; underlying data for figure 3" assertion.
- gigadb.org description "GigaDB is a data repository supporting scientific publications in the Life/Biomedical Sciences domain. GigaDB organises and curates data from individually publishable units into datasets, which are provided openly and in as FAIR manner as possible for the global research community." assertion.
- 3543b082-9077-492e-a4c7-a3b7c8bb39e8 description "Polyadenylation is a dynamic process which is important in cellular physiology. Oxford Nanopore Technologies direct RNA-sequencing provides a strategy for sequencing the full-length RNA molecule and analysis of the transcriptome and epi-transcriptome. There are currently several tools available for poly(A) tail-length estimation, including well-established tools such as tailfindr and nanopolish, as well as two more recent deep learning models: Dorado and BoostNano. However, there has been limited benchmarking of the accuracy of these tools against gold-standard datasets. In this paper we evaluate four poly(A) estimation tools using synthetic RNA standards (Sequins), which have known poly(A) tail-lengths and provide a valuable approach to measuring the accuracy of poly(A) tail-length estimation. All four tools generate mean tail-length estimates which lie within 12% of the correct value. Overall, Dorado is recommended as the preferred approach due to its relatively fast run times, low coefficient of variation and ease of use with integration with base-calling." assertion.
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- 8f95dc22-5579-4612-bff9-7480b0f11f6b description "Istnienie grzybów zaobserwowano we wszystkich strefach klimatycznych, przede wszystkim na lądach, ale także w wodach (słodkich i słonych). Do 2020 r. opisano około 148 tysięcy gatunków grzybów, rzeczywista ich liczba jest jednak dużo wyższa. Co roku opisuje się około 2 tysięcy nowych gatunków." assertion.
- 8f95dc22-5579-4612-bff9-7480b0f11f6b description "Istnienie grzybów zaobserwowano we wszystkich strefach klimatycznych, przede wszystkim na lądach, ale także w wodach (słodkich i słonych). Do 2020 r. opisano około 148 tysięcy gatunków grzybów, rzeczywista ich liczba jest jednak dużo wyższa. Co roku opisuje się około 2 tysięcy nowych gatunków." assertion.
- 07b99b7b-a209-44cc-86fd-327339b2599c description "Attention deficit hyperactivity disorder (ADHD) is a behavioral and neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity, which are pervasive, impairing, and otherwise age inappropriate.Some individuals with ADHD also display difficulty regulating emotions, or problems with executive function. For a diagnosis, the symptoms have to be present for more than six months, and cause problems in at least two settings (such as school, home, work, or recreational activities). In children, problems paying attention may result in poor school performance. Additionally, it is associated with other mental disorders and substance use disorders. Although it causes impairment, particularly in modern society, many people with ADHD have sustained attention for tasks they find interesting or rewarding, known as hyperfocus." assertion.
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- cb06ef3d-f6a3-4b79-9f62-59215ec96034 description "Hypermatrix size 2x2 blocks, block size 2x2 elements **THIS IS A TEST RO. IT WILL BE DELETED SOON**" assertion.
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- 80978d21-476e-4b32-89b9-909a542fc680 description "COMPSs Workflow Provenance YAML configuration file" assertion.
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- 54c22dc5-ace3-4aaa-be62-b5b4dab97be6 description "Aromatic compounds are those chemical compounds (most commonly organic) that contain one or more rings with pi electrons delocalized all the way around them. In contrast to compounds that exhibit aromaticity, aliphatic compounds lack this delocalization. The term "aromatic" was assigned before the physical mechanism determining aromaticity was discovered, and referred simply to the fact that many such compounds have a sweet or pleasant odour; however, not all aromatic compounds have a sweet odour, and not all compounds with a sweet odour are aromatic compounds. Aromatic hydrocarbons, or arenes, are aromatic organic compounds containing solely carbon and hydrogen atoms. The configuration of six carbon atoms in aromatic compounds is called a "benzene ring", after the simple aromatic compound benzene, or a phenyl group when part of a larger compound. Not all aromatic compounds are benzene-based; aromaticity can also manifest in heteroarenes, which follow Hückel's rule (for monocyclic rings: when the number of its π electrons equals 4n + 2, where n = 0, 1, 2, 3, ...). In these compounds, at least one carbon atom is replaced by one of the heteroatoms oxygen, nitrogen, or sulfur. Examples of non-benzene compounds with aromatic properties are furan, a heterocyclic compound with a five-membered ring that includes a single oxygen atom, and pyridine, a heterocyclic compound with a six-membered ring containing one nitrogen atom." assertion.
- 5966 description "" assertion.
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- ba53e480-17bb-466f-b789-3533246d7b43 description "Aromatic compounds are those chemical compounds (most commonly organic) that contain one or more rings with pi electrons delocalized all the way around them. In contrast to compounds that exhibit aromaticity, aliphatic compounds lack this delocalization. The term "aromatic" was assigned before the physical mechanism determining aromaticity was discovered, and referred simply to the fact that many such compounds have a sweet or pleasant odour; however, not all aromatic compounds have a sweet odour, and not all compounds with a sweet odour are aromatic compounds. Aromatic hydrocarbons, or arenes, are aromatic organic compounds containing solely carbon and hydrogen atoms. The configuration of six carbon atoms in aromatic compounds is called a "benzene ring", after the simple aromatic compound benzene, or a phenyl group when part of a larger compound. Not all aromatic compounds are benzene-based; aromaticity can also manifest in heteroarenes, which follow Hückel's rule (for monocyclic rings: when the number of its π electrons equals 4n + 2, where n = 0, 1, 2, 3, ...). In these compounds, at least one carbon atom is replaced by one of the heteroatoms oxygen, nitrogen, or sulfur. Examples of non-benzene compounds with aromatic properties are furan, a heterocyclic compound with a five-membered ring that includes a single oxygen atom, and pyridine, a heterocyclic compound with a six-membered ring containing one nitrogen atom." assertion.
- de0b3951-0fa7-4b03-a1fa-d5c4da93a476 description "Aromatic compounds are those chemical compounds (most commonly organic) that contain one or more rings with pi electrons delocalized all the way around them. In contrast to compounds that exhibit aromaticity, aliphatic compounds lack this delocalization. The term "aromatic" was assigned before the physical mechanism determining aromaticity was discovered, and referred simply to the fact that many such compounds have a sweet or pleasant odour; however, not all aromatic compounds have a sweet odour, and not all compounds with a sweet odour are aromatic compounds. Aromatic hydrocarbons, or arenes, are aromatic organic compounds containing solely carbon and hydrogen atoms. The configuration of six carbon atoms in aromatic compounds is called a "benzene ring", after the simple aromatic compound benzene, or a phenyl group when part of a larger compound. Not all aromatic compounds are benzene-based; aromaticity can also manifest in heteroarenes, which follow Hückel's rule (for monocyclic rings: when the number of its π electrons equals 4n + 2, where n = 0, 1, 2, 3, ...). In these compounds, at least one carbon atom is replaced by one of the heteroatoms oxygen, nitrogen, or sulfur. Examples of non-benzene compounds with aromatic properties are furan, a heterocyclic compound with a five-membered ring that includes a single oxygen atom, and pyridine, a heterocyclic compound with a six-membered ring containing one nitrogen atom." assertion.
- 2f432569-3648-4885-bb84-bc9507c5187a description "**Session at the European Climate Change Adaptation Conference, Rimini - Italy** *16-18 July 2025* This session was part of the HEurope FAIR2Adapt and CLIMATE-ADAPT4EOSC projects that intend to improve the efficiency of the data-to-knowledge supply chain in the field of climate change adaptation (CCA). In line with ECCA’s theme ‘Managing cities to be fit for the future’, the main goal of this session is to demonstrate how an ecosystem of FAIR (Findable, Accessible, Interoperable, and Reusable) technologies and services can support CCA stakeholders (e.g., researchers and practitioners) in their decision-making processes. The panel presentations will feature concrete examples of how FAIR tools and approaches can help CCA researchers and practitioners overcome barriers to accessing, using, and reproducing data and generating interoperable services. In addition, this session aims to gather information on the breadth of knowledge CCA stakeholders work with and how this knowledge is produced, providing key insights for FAIR experts who need a clear understanding of user requirements to design effective FAIR tooling." assertion.
- 447465f2-4083-4d02-a034-ef45bc9455cd description "Session presentation at the European Climate Change Conference 2025, in Rimini - Italy" assertion.
- 05729783-a960-4fbd-b1f6-f83fb23eb44c description "# Improving data availability for climate risk assessments under the EU taxonomy for sustainable activities ## Vision & Ambitions In this case study, we want to: 1) Provide insights into data used and needed by businesses and consultants to perform climate risk assessments for reporting under the EU taxonomy for sustainable activities; 2) Collect local climate hazard data that is being used in such analyses; 3) improve accessibility to key datasets for climate risk analyses under the EU taxonomy. ## Description Climate risk analyses under the EU taxonomy for sustainable activities (Pan-European) More and more companies in the EU are required to report on how their economic activities are contributing to the six environmental objectives of the EU taxonomy for sustainable activities. In this context, the Commission Delegated Regulation (EU) 2021/2178 requires companies to perform climate risk assessment for two possible purposes: to show that an economic activity is contributing to climate change adaptation (environmental objective #2) or to check whether an activity that contributes to another objective will do so even under a changing climate (do-no-significant-harm check). The regulation has detailed requirements that a climate risk analysis needs to fulfil, e.g. climate projections at the smallest appropriate scale and at least 28 different climate hazards need to be considered. Experience shows that business as well as consultants are struggling with the very demanding requirements and the very parcelled climate hazard data landscape. While there is a lot of data available on the 28 climate-related hazards that businesses need to analyse, data is not tagged / structured in a way that users can easily find it. Many businesses have operations across different EU countries which makes it even more challenging to conduct a harmonised assessment for all relevant locations and at the most appropriate local scale. Furthermore, many businesses will be required to prepare an adaptation plan that includes adaptation measures and is in line with local, regional and national adaptation strategies. ## FAIR2Adapt Contribution By accompanying two businesses in preparing climate risk assessments as part of their EU taxonomy reporting, will provide an overview on the sources that are being used for the assessments, from local to national to European sources. Furthermore, we shall document important data gaps and highlight possible difficulties when combining the different datasets during the assessments, e.g. problems because of different temporal or spatial scales. Guided by approaches from WP 3 to 5, strategies to make the most valuable data FAIR, using a vocabulary that is consistent with the requirements in the EU taxonomy, will be developed. ## Lead Partner ADELPHI ## External Stakeholders involved in CCA Two businesses that have operations in multiple EU countries, and have to report under the EU taxonomy." assertion.
- 5e53ec13-7cdb-4e41-95aa-f48b4206ead4 description "Research Object about the FAIR2Adapt Case Study on Improving data availability for climate risk assessments under the EU taxonomy for sustainable activities" assertion.
- 7d647ed2-6698-4be3-ac81-502329066b3c description "FAIR2Adapt DMP generated from DSW questionnaire." assertion.
- 5954ce8e-2bbc-469a-b5ba-0d4d1e93195f description "The FAIR2Adapt Data Management Plan will evolve during the lifetime of the project in order to present the status of the project's reflections on data management. Our DMP will be made publicly available on ROHub so that the up to date version can be consulted at any time by everyone." assertion.
- 3afecf07-51dc-430a-8bce-8e3120f8489b description "This folder contains the links to the FIPs." assertion.
- f152dc94-e6c8-4232-b301-951ce2fc37f2 description "Snapshot of the DMP questionnaire (FIP Wizard) from the 29 June 2025." assertion.
- HFR-TT_workshop_Lerici_2025_training_JupyterNotebook description "This Python-based Jupyter notebook (EU_HFR_NODE_Lerici2025.ipynb) focuses on providing basic routines for inspecting the HFR-derived surface current dataset produced by the operational Near Real Time (NRT) workflow of the European HFR Node. The inspection is useful for assessing the datasets and modify the processing and QC parameters, if needed." assertion.
- 5de51258-491e-407c-9e2c-1d68720ee92c description "The EuroGOOS HF Radar Task Team helps coordinate the European activities around the development and use of High Frequency Radar (HFR) technology. The Task Team is providing a European HF Radar operational network delivering data and products for science, environmental management, and operational needs. As all EuroGOOS operational task teams, the HF Radar Task Team plays an important role in identifying research gaps, delivering common standards and promoting synergy, towards an integrated European Ocean Observing System (EOOS). The EuroGOOS HF Radar Task Team contributes to improving administrative procedures, promotes scientific synergies and complementarity with other technologies as well as modeling products. The Task Team’s broad network allows sharing success stories and discuss common challenges, to allow a stronger joint progress. The EuroGOOS HFR Task Team is coordinating the European High Frequency Radar Node (EU HFR Node) as the focal point and operational asset in Europe for HFR data management and dissemination, also promoting networking between EU infrastructures and the Global HFR network. The EuroGOOS HFR Task Team is used to organize two progress meetings per year, one online and one in person. On September 3 2024, the 2024 in person meeting was held at the University of Plymouth as a side event of the International Radiowave Oceanography Workshop (ROW). The main points discussed during the meeting were: * review of the Terms of Reference of the Task Team * presentation of the main achievements of 2024 * analysis of the main remaining challenges * completion of the list of prioritized objectives for 2024-2026 A dedicated hands-on session about the assessment of the processing and Quality Control (QC) parameters used in the operational workflow of the European HFR Node." assertion.
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