Matches in Nanopublications for { ?s <http://purl.org/dc/terms/description> ?o ?g. }
- fers_by_type_simple description "Get FAIR-Enabling Resources by type." assertion.
- fers_by_type_simple description "Get FAIR-Enabling Resources by type." assertion.
- fair description "This is the Space for the community behind the FAIR principles for making research data Findable, Accessible, Interoperable, and Reusable." assertion.
- get-named-individuals-of-ontology-ns description "This query returns all named individuals that specify to be part of a given ontology or use its namespace." assertion.
- discoursegraphs description "Working to build infrastructure for a modular scientific communication and attribution protocol based on atomic claims and evidence." assertion.
- discoursegraphs description "Working to build infrastructure for a modular scientific communication and attribution protocol based on atomic claims and evidence." assertion.
- test-group-2 description "just testing." assertion.
- get-read-papers-by-user description "This query returns the read papers (and comments if applicable) for a given user." assertion.
- assertion description "Such a nanopublication declares that the creator plans to attend an event." assertion.
- assertion description "Such a nanopublication declares that the creator plans to attend an event." assertion.
- network description "This is the global and decentralized network of nanopublication services." assertion.
- network description "This is the global and decentralized network of nanopublication services." assertion.
- network description "This is the global and decentralized network of nanopublication services, users, and applications." assertion.
- assertion description "Such a nanopublication declares that the creator plans to attend an event." assertion.
- get-planned-event-attendances description "This query returns the events the given user plans to attend." assertion.
- get-planned-event-attendances description "This query returns the events the given user plans to attend." assertion.
- assertion description "This template can be used to define a Hackathon Event." assertion.
- assertion description "Template for defining a Case Study" assertion.
- assertion description "Template for defining a Case Study" assertion.
- assertion description "Template for defining a Case Study" assertion.
- assertion description "Template for defining a Case Study" assertion.
- assertion description "Template for defining a User Story" assertion.
- assertion description "Template for defining a User Story" assertion.
- assertion description "Template for defining a User Story" assertion.
- assertion description "Template for analysing a Digital Object" assertion.
- assertion description "Template for analysing a Digital Object" assertion.
- assertion description "Template for analysing a Digital Object" assertion.
- assertion description "Template for analysing a Digital Object" assertion.
- Black description "dcterms:description "A common and adaptable raptor occurring in western Ethiopia, including Gambella Region." ; ex:occurrenceLocation "Gambella University campus and surrounding wetlands" ; ex:habitat "Wetlands, riversides, open savannas, agricultural land, urban areas" ; ex:diet "Scavenger and opportunistic predator feeding on carrion, small vertebrates, insects, and human refuse" ; ex:behavior "Often seen soaring or scavenging near human settlements" ; ex:conservationStatus "Least Concern" ; geo:hasGeometry "POINT(34.5833 8.2500)"^^geo:wktLiteral ." assertion.
- research-activity description document provenance.
- assertion description "Template for defining a Case Study" assertion.
- assertion description "Template for defining a User Story" assertion.
- assertion description "Template for defining a User Story" assertion.
- AriAsmi description "Person" assertion.
- ChlorellaVulgaris description "A species of green microalgae in the family Chlorellaceae. It is used as a model organism for PHOTOSYNTHESIS, and as a food supplement." assertion.
- MedicagoSativa description "A plant species of the family FABACEAE widely cultivated for ANIMAL FEED." assertion.
- DaucusCarota description "A plant species of the family APIACEAE that is widely cultivated for the edible yellow-orange root. The plant has finely divided leaves and flat clusters of small white flowers." assertion.
- ZeaMays description "Zea species that are thought to be ancestors and probable progenitors to corn. A plant species of the family POACEAE. It is a tall grass grown for its EDIBLE GRAIN, corn, used as food and animal FODDER." assertion.
- CucumisSativus description "A creeping annual plant species of the CUCURBITACEAE family. It has a rough succulent, trailing stem and hairy leaves with three to five pointed lobes." assertion.
- BrassicaNapus description "Α plant species of the family BRASSICACEAE best known for the edible roots." assertion.
- AvenaSativa description "The whole plant of the vascular plant Avena sativa (cultivated common oat)." assertion.
- GlycineMax description "An annual legume. The seeds of this plant are edible and used to produce a variety of soy foods." assertion.
- SolanumLycopersicum description "A plant species of the family SOLANACEAE, native of South America, widely cultivated for their edible, fleshy, usually red fruit." assertion.
- ViciaFaba description "A plant species of the genus VICIA, family FABACEAE." assertion.
- Tradescantiaspp description "A plant genus of the family COMMELINACEAE that is used in genotoxic bioassays." assertion.
- LepidiumSativum description "A plant species of the genus LEPIDIUM, family BRASSICACEAE that is a fast-growing, often weedy native of western Asia. It is widely grown, especially in its curl-leaved form, and used as a garnish" assertion.
- SoilSpiking description "the process of artificially adding a substance, such as a contaminant, to a soil sample." assertion.
- SoilSpiking description "the process of artificially adding a substance, such as a contaminant, to a soil sample." assertion.
- HydroponicExposure description "the exposure of organisms to a test substance via an aqueous nutrient solution." assertion.
- HydroponicExposure description "the exposure of organisms to a test substance via an aqueous nutrient solution." assertion.
- FoliarSpray description "the exposure of plants to a substance applied directly to leaf surfaces." assertion.
- FoliarSpray description "the exposure of plants to a substance applied directly to leaf surfaces." assertion.
- SeedDressing description "the exposure of seeds to a substance by coating or soaking before germination." assertion.
- RootDipping description "the exposure of plant roots to a substance by immersion in a liquid medium." assertion.
- RootDipping description "the exposure of plant roots to a substance by immersion in a liquid medium." assertion.
- SoilPorewaterExposure description "the exposure to a substance via the aqueous phase present within soil pores." assertion.
- SoilPorewaterExposure description "the exposure to a substance via the aqueous phase present within soil pores." assertion.
- SoilTextureClass description "the grouping of soils based on the relative proportions of sand, silt, and clay particles." assertion.
- SoilTextureClass description "the grouping of soils based on the relative proportions of sand, silt, and clay particles." assertion.
- assertion description "This template allows you to annotate research papers with large language models(LLMs) and knowledge graphs(KGs) integration categories based on the Pan et al. (2024) roadmap (DOI: https://doi.org/10.48550/arXiv.2306.08302). This template includes the paper's DOI, its specific integration category, and the contributor who made the categorization." assertion.
- OrganicCarbon description "Carbon that is incorporated into organic compounds derived from living organisms, representing the foundation of biological molecules and ecosystem carbon pools." assertion.
- OrganicCarbon description "Carbon that is incorporated into organic compounds derived from living organisms, representing the foundation of biological molecules and ecosystem carbon pools." assertion.
- CationExchangecapacity description "A physical quality which inheres in an environmental material by virtue of the material's ability to adsorb exchangeable cations. In soils, these materials include clay and organic matter particles. Soil CEC is measured in millequivalents per 100 grams of soil (meq/100g)." assertion.
- CationExchangecapacity description "A physical quality which inheres in an environmental material by virtue of the material's ability to adsorb exchangeable cations. In soils, these materials include clay and organic matter particles. Soil CEC is measured in millequivalents per 100 grams of soil (meq/100g)." assertion.
- SoilpH description "The negative logarithm of hydrogen ion concentration in soil solution, representing soil acidity or alkalinity conditions that affect chemical reactions and biological processes." assertion.
- SoilpH description "The negative logarithm of hydrogen ion concentration in soil solution, representing soil acidity or alkalinity conditions that affect chemical reactions and biological processes." assertion.
- NutrientRecipe description "a defined composition of dissolved mineral nutrients used to support plant growth in hydroponic systems." assertion.
- NutrientRecipe description "a defined composition of dissolved mineral nutrients used to support plant growth in hydroponic systems." assertion.
- assertion description "This template allows you to annotate research papers with large language models(LLMs) and knowledge graphs(KGs) integration categories based on the Pan et al. (2024) roadmap (DOI: https://doi.org/10.48550/arXiv.2306.08302). This template includes the paper's DOI, its specific integration category, and the contributor who made the categorization." assertion.
- RelativeHumidity description "Humidity that correspond to moisture content of the atmosphere, expressed as a percentage of the amount of moisture that can be retained by the atmosphere at a given temperature and pressure without condensation." assertion.
- RelativeHumidity description "Humidity that correspond to moisture content of the atmosphere, expressed as a percentage of the amount of moisture that can be retained by the atmosphere at a given temperature and pressure without condensation." assertion.
- CO₂Concentration description "the amount of carbon dioxide present in the air of an experimental or environmental system." assertion.
- CO₂Concentration description "the amount of carbon dioxide present in the air of an experimental or environmental system." assertion.
- assertion description "This template allows you to annotate research papers with large language models(LLMs) and knowledge graphs(KGs) integration categories based on the Pan et al. (2024) roadmap (DOI: https://doi.org/10.48550/arXiv.2306.08302). This template includes the paper's DOI, its specific integration category, and the contributor who made the categorization." assertion.
- assertion description "This template allows you to annotate research papers with large language models(LLMs) and knowledge graphs(KGs) integration categories based on the Pan et al. (2024) roadmap (DOI: https://doi.org/10.48550/arXiv.2306.08302). This template includes the paper's DOI, its specific integration category, and the contributor who made the categorization." assertion.
- DrySoilConcentration description "the mass of a substance per mass of dry soil." assertion.
- DrySoilConcentration description "the mass of a substance per mass of dry soil." assertion.
- SolutionConcentration description "the mass or molar amount of a substance per volume of solution." assertion.
- SolutionConcentration description "the mass or molar amount of a substance per volume of solution." assertion.
- LeafAreaDose description "the amount of a substance applied per unit surface area of plant leaves." assertion.
- LeafAreaDose description "the amount of a substance applied per unit surface area of plant leaves." assertion.
- PlantMassNormalizedDose description "the amount of a substance applied or absorbed per unit mass of plant tissue." assertion.
- PlantMassNormalizedDose description "the amount of a substance applied or absorbed per unit mass of plant tissue." assertion.
- RootTissue description "the plant material that comprises the underground root system, used for sampling to assess substance uptake or accumulation." assertion.
- RootTissue description "the plant material that comprises the underground root system, used for sampling to assess substance uptake or accumulation." assertion.
- ShootTissue description "The above-ground portion of a plant including stems, leaves, and reproductive organs that conducts photosynthesis and reproduction. This structural component controls light capture, gas exchange, resource acquisition, and represents the primary interface between plants and the atmospheric environment." assertion.
- ShootTissue description "The above-ground portion of a plant including stems, leaves, and reproductive organs that conducts photosynthesis and reproduction. This structural component controls light capture, gas exchange, resource acquisition, and represents the primary interface between plants and the atmospheric environment." assertion.
- assertion description "This template helps to define object properties and datatype properties with domains and ranges from diverse sources." assertion.
- assertion description "This template helps to define object properties and datatype properties with domains and ranges from diverse sources." assertion.
- SeedTissue description "the plant material comprising seeds or fruits, used for sampling to assess substance uptake or accumulation." assertion.
- SeedTissue description "the plant material comprising seeds or fruits, used for sampling to assess substance uptake or accumulation." assertion.
- get-messages-about-resource description "This query returns plain-text messages about the given resource." assertion.
- session28 description "<p>This session will be a hands-on, working collaboratively on:</p> <ul> <li>"Hello World"</li> <li>Customizing user profiles</li> </ul>" assertion.
- Nanopublications-Hackathon description "A two-part hackathon at the Perspectives on Scientific Error conference in Leiden 11-13 February 2026." assertion.
- Nanopublications-Hackathon description "A two-part hackathon on 13 February 2026 taking place in Leiden as part of the Perspectives on Scientific Error conference (11-13 February 2026). Session title: Making Errors and Uncertainty FAIR: A Nanopublications Hackathon for Machine-Actionable Scientific Error Reporting Session abstract: Communicating and reusing estimations of uncertainty and error is critical for interpreting scientifically relevant observations but currently hampered by poor consistency and documentation. These errors arise from diverse sources, including linguistic ambiguity, computational bugs, systematic biases, unstable measurements and missing data. Despite its central role in quality control, data integration, and decision-making, uncertainty is often underreported or informally expressed. Nanopublications offer an ideal, structured, and machine-actionable framework to address this challenge by providing a scalable solution that transcends traditional, narrative-based methods. Their design combines precise assertions with rich provenance, allowing researchers to clearly state an observation or claim (e.g., regarding an error or uncertain measurement) while simultaneously linking to its full supporting history and context. Expressed as interoperable RDF triples, nanopublications are openly published on a decentralized network as FAIR Digital Objects, making this essential information easily discoverable, integratable, and processable by automated systems across various scientific domains. The Metabolomics and Analytics Center (MAC) at Leiden Academic Center for Drug Research is developing a nanopublication-based reporting framework to capture three critical uncertainty types inherent in high-throughput mass spectrometry data: those related to detection limits/sensitivity, physical/chemical instabilities (such as evaporation or oxidation), and ambiguities from structural isomers. This hackathon will leverage the MAC's developments to explore nanopublications as a universal, scalable, and machine-actionable mechanism for communicating errors, uncertainty, and related concepts across scientific domains, using metabolomics as a core case study. Participants will be introduced to nanopublication principles and decentralized publication infrastructures through hands-on experience with user-friendly interfaces and templates. To lower barriers to participation, no technical prerequisites are assumed; participants only need to authenticate via ORCID in a browser [so come prepared with your ORCID credentials at hand!]. We'll show metabolomics examples from MAC that include uncertainty and error reporting. Participants are encouraged to bring their own examples of errors, uncertainties, and data quality issues from any scholarly domain. By the end of the hackathon, participants will have created and published nanopublications describing real error and uncertainty scenarios and gained practical experience with FAIR, machine-actionable error communication." assertion.
- Nanopublications-Hackathon description "A two-part hackathon on 13 February 2026 taking place in Leiden as part of the Perspectives on Scientific Error conference (11-13 February 2026).<br /> <br /> Session title:<br /> Making Errors and Uncertainty FAIR: A Nanopublications Hackathon for Machine-Actionable Scientific Error Reporting<br /> <br /> Session abstract:<br /> Communicating and reusing estimations of uncertainty and error is critical for interpreting scientifically relevant observations but currently hampered by poor consistency and documentation. These errors arise from diverse sources, including linguistic ambiguity, computational bugs, systematic biases, unstable measurements and missing data. Despite its central role in quality control, data integration, and decision-making, uncertainty is often underreported or informally expressed. Nanopublications offer an ideal, structured, and machine-actionable framework to address this challenge by providing a scalable solution that transcends traditional, narrative-based methods. Their design combines precise assertions with rich provenance, allowing researchers to clearly state an observation or claim (e.g., regarding an error or uncertain measurement) while simultaneously linking to its full supporting history and context. Expressed as interoperable RDF triples, nanopublications are openly published on a decentralized network as FAIR Digital Objects, making this essential information easily discoverable, integratable, and processable by automated systems across various scientific domains. The Metabolomics and Analytics Center (MAC) at Leiden Academic Center for Drug Research is developing a nanopublication-based reporting framework to capture three critical uncertainty types inherent in high-throughput mass spectrometry data: those related to detection limits/sensitivity, physical/chemical instabilities (such as evaporation or oxidation), and ambiguities from structural isomers. This hackathon will leverage the MAC's developments to explore nanopublications as a universal, scalable, and machine-actionable mechanism for communicating errors, uncertainty, and related concepts across scientific domains, using metabolomics as a core case study. Participants will be introduced to nanopublication principles and decentralized publication infrastructures through hands-on experience with user-friendly interfaces and templates. To lower barriers to participation, no technical prerequisites are assumed; participants only need to authenticate via ORCID in a browser [so come prepared with your ORCID credentials at hand!]. We'll show metabolomics examples from MAC that include uncertainty and error reporting. Participants are encouraged to bring their own examples of errors, uncertainties, and data quality issues from any scholarly domain. By the end of the hackathon, participants will have created and published nanopublications describing real error and uncertainty scenarios and gained practical experience with FAIR, machine-actionable error communication." assertion.
- Nanopublications-Hackathon description "A two-part hackathon on 13 February 2026 taking place in Leiden as part of the Perspectives on Scientific Error conference (11-13 February 2026).<br /> <br /> Session title:<br /> Making Errors and Uncertainty FAIR: A Nanopublications Hackathon for Machine-Actionable Scientific Error Reporting<br /> <br /> Session abstract:<br /> Communicating and reusing estimations of uncertainty and error is critical for interpreting scientifically relevant observations but currently hampered by poor consistency and documentation. These errors arise from diverse sources, including linguistic ambiguity, computational bugs, systematic biases, unstable measurements and missing data. Despite its central role in quality control, data integration, and decision-making, uncertainty is often underreported or informally expressed. Nanopublications offer an ideal, structured, and machine-actionable framework to address this challenge by providing a scalable solution that transcends traditional, narrative-based methods. Their design combines precise assertions with rich provenance, allowing researchers to clearly state an observation or claim (e.g., regarding an error or uncertain measurement) while simultaneously linking to its full supporting history and context. Expressed as interoperable RDF triples, nanopublications are openly published on a decentralized network as FAIR Digital Objects, making this essential information easily discoverable, integratable, and processable by automated systems across various scientific domains. The Metabolomics and Analytics Center (MAC) at Leiden Academic Center for Drug Research is developing a nanopublication-based reporting framework to capture three critical uncertainty types inherent in high-throughput mass spectrometry data: those related to detection limits/sensitivity, physical/chemical instabilities (such as evaporation or oxidation), and ambiguities from structural isomers. This hackathon will leverage the MAC's developments to explore nanopublications as a universal, scalable, and machine-actionable mechanism for communicating errors, uncertainty, and related concepts across scientific domains, using metabolomics as a core case study. Participants will be introduced to nanopublication principles and decentralized publication infrastructures through hands-on experience with user-friendly interfaces and templates. To lower barriers to participation, no technical prerequisites are assumed; participants only need to authenticate via ORCID in a browser [so come prepared with your ORCID credentials at hand!]. We'll show metabolomics examples from MAC that include uncertainty and error reporting. Participants are encouraged to bring their own examples of errors, uncertainties, and data quality issues from any scholarly domain. By the end of the hackathon, participants will have created and published nanopublications describing real error and uncertainty scenarios and gained practical experience with FAIR, machine-actionable error communication. For slides, see <a href="https://doi.org/10.5281/zenodo.18627181 ">DOI: 10.5281/zenodo.18627181</a>." assertion.
- Nanopublications-Hackathon description "A two-part hackathon on 13 February 2026 taking place in Leiden as part of the Perspectives on Scientific Error conference (11-13 February 2026).<br /> <br /> Session title:<br /> Making Errors and Uncertainty FAIR: A Nanopublications Hackathon for Machine-Actionable Scientific Error Reporting<br /> <br /> Session abstract:<br /> Communicating and reusing estimations of uncertainty and error is critical for interpreting scientifically relevant observations but currently hampered by poor consistency and documentation. These errors arise from diverse sources, including linguistic ambiguity, computational bugs, systematic biases, unstable measurements and missing data. Despite its central role in quality control, data integration, and decision-making, uncertainty is often underreported or informally expressed. Nanopublications offer an ideal, structured, and machine-actionable framework to address this challenge by providing a scalable solution that transcends traditional, narrative-based methods. Their design combines precise assertions with rich provenance, allowing researchers to clearly state an observation or claim (e.g., regarding an error or uncertain measurement) while simultaneously linking to its full supporting history and context. Expressed as interoperable RDF triples, nanopublications are openly published on a decentralized network as FAIR Digital Objects, making this essential information easily discoverable, integratable, and processable by automated systems across various scientific domains. The Metabolomics and Analytics Center (MAC) at Leiden Academic Center for Drug Research is developing a nanopublication-based reporting framework to capture three critical uncertainty types inherent in high-throughput mass spectrometry data: those related to detection limits/sensitivity, physical/chemical instabilities (such as evaporation or oxidation), and ambiguities from structural isomers. This hackathon will leverage the MAC's developments to explore nanopublications as a universal, scalable, and machine-actionable mechanism for communicating errors, uncertainty, and related concepts across scientific domains, using metabolomics as a core case study. Participants will be introduced to nanopublication principles and decentralized publication infrastructures through hands-on experience with user-friendly interfaces and templates. To lower barriers to participation, no technical prerequisites are assumed; participants only need to authenticate via ORCID in a browser [so come prepared with your ORCID credentials at hand!]. We'll show metabolomics examples from MAC that include uncertainty and error reporting. Participants are encouraged to bring their own examples of errors, uncertainties, and data quality issues from any scholarly domain. By the end of the hackathon, participants will have created and published nanopublications describing real error and uncertainty scenarios and gained practical experience with FAIR, machine-actionable error communication. <br /><br /> For slides, see <a href="https://doi.org/10.5281/zenodo.18627181 ">DOI: 10.5281/zenodo.18627181</a>." assertion.
- PSE8 description "8th workshop "Perspectives on Scientific Error", taking place on February 11-13, 2026, in Leiden." assertion.
- PSE8 description "8th workshop "Perspectives on Scientific Error", taking place on February 11-13, 2026, in Leiden.<br /> <br />See <a href="https://perspectivesonscientificerror2026.wordpress.com/"></a> for the conference homepage." assertion.