Matches in Nanopublications for { ?s <http://purl.org/dc/terms/description> ?o ?g. }
- john-doe-test-group description "Another group for testing." assertion.
- john-doe-test-group description "Another group for testing." assertion.
- john-doe-test-group description "Another group for testing." assertion.
- get-spaces description "This query returns all Spaces, i.e. groups, projects, events, etc." assertion.
- Computational-Workflow description "A computational workflow is a structured sequence of computational steps or tasks designed to process data, perform analyses, or automate scientific procedures. These workflows should preferably be machine-readable and executable, and they help ensure reproducibility, transparency, and efficiency in research." assertion.
- assertion description "Such a nanopublication defines a concept according to the SKOS standard." assertion.
- prefLabel description "A lexical label is a string of UNICODE characters, such as "romantic love" or "れんあい", in a given natural language, such as English or Japanese (written here in hiragana)." assertion.
- assertion description "Such a nanopublication defines a concept according to the SKOS standard." assertion.
- get-concepts-of-skos-scheme description "This query returns all concepts that specify to be in the given SKOS scheme." assertion.
- assertion description "The creator of such a nanopublication declares to be a participant in the specified Space." assertion.
- TestScheme description "just for testing." assertion.
- M4M.44.T.7 description "This is the FAIR2Adapt Vocabulary training session 7." assertion.
- ExampleSkosScheme description "This is an example of a SKOS scheme." assertion.
- skos description "This is a group for everyone who would like to try out SKOS features with nanopubs/Nanodash." assertion.
- fip description "FIESTA Astro FIP" assertion.
- get-concepts-of-skos-scheme description "This query returns all concepts that specify to be in the given SKOS scheme." assertion.
- UserStoryVocabulary description "This is a user story vocabulary for demo purposes." assertion.
- assertion description "Such nanopublications defines an open-ended Space, i.e. a group, program, outlet, or community." assertion.
- mac description "The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. The templates follow the FAIR Funder Framework co-developed with the GO FAIR Foundation and ZonMw. Find out more about MAC at www.lmac.nl" assertion.
- news description "This is our news channel." assertion.
- comparatorGroup description "Classical computational methods including traditional machine learning, simulated annealing, genetic algorithms, and standard statistical approaches (MCMC, maximum likelihood, Bayesian methods)" assertion.
- interventionGroup description "Quantum computing approaches and quantum-inspired algorithms, including quantum machine learning, quantum optimization (e.g., quantum annealing, QAOA), quantum-enhanced MCMC, and quantum community detection methods" assertion.
- outcomeGroup description "Characterization of application domains, computational advantages demonstrated, hardware requirements, scalability assessments, and readiness for operational biodiversity research and conservation practice" assertion.
- population description "Biodiversity research domains including species distribution modeling, conservation planning, population genetics, ecological network analysis, and ecosystem dynamics simulation" assertion.
- quantum-computing-applications-for-biodiversity-re description "What quantum computing and quantum-inspired approaches have been applied or proposed for biodiversity research and conservation, and what evidence exists for their computational advantages over classical methods?" assertion.
- fip description "F2A Case Study 6: FAIR Climate Risk Assessments" assertion.
- fip description "Climate Adaptation Hub Portugal FIP" assertion.
- fip description "Arctic Radio-Isotopes FIP" assertion.
- fip description "Hamburg Risk Map, Case Study 3 FIP" assertion.
- _N237cfaefeb024c29b6798f051c95c630 description "A novel technique for predicting biodiversity change considering tiger population in eighteen states of India." assertion.
- _1 description "Modeling the topological aspect of biodiversity change driven by land-use conversion and climate change." assertion.
- _1 description "Leverages principles such as superposition, entanglement, and high-dimensional Hilbert space embeddings to analyze complex genetic relationships." assertion.
- _1 description "Detecting cryptic population structure and optimizing model selection in genomic data." assertion.
- _1 description "Hybrid deep transfer learning model integrating pretrained classical convolutional neural networks with variational quantum circuits." assertion.
- _1 description "Precise underwater classification of small aquaculture species for sustainable fisheries management and biodiversity monitoring." assertion.
- _1 description "Algorithm developed to search for genetic information using qubits states." assertion.
- _Nfad8c66b795c41f9984c0388e9d6aacf description "Accelerated exploration and engineering of nucleotide sequences using quantum computing." assertion.
- _1 description "Modeling the topological aspect of biodiversity change driven by land-use conversion and climate change." assertion.
- research-activity description document provenance.
- nanopub-grlc description "This is a templating language for wrting SPARQL templates that are automatically be turned into APIs." assertion.
- comparatorGroup description "Alternative PET approaches compared against each other, against unprotected data sharing baselines, and across different parameterizations (e.g., grid resolutions, epsilon values, access tier structures)" assertion.
- interventionGroup description "Privacy-enhancing technologies including spatial generalization (grid-based aggregation, convex hulls), differential privacy mechanisms, controlled access systems (tiered permissions, data use agreements), spatial cloaking, k-anonymity adaptations for location data, and emerging approaches such as secure multi-party computation and zero-knowledge proofs for data governance" assertion.
- outcomeGroup description "Privacy protection effectiveness (re-identification risk, formal privacy guarantees), preservation of ecological analytical utility (species distribution model accuracy, biodiversity index reliability, spatial pattern retention), implementation feasibility (computational cost, regulatory compliance, organizational adoption barriers), and documented trade-offs between privacy and utility" assertion.
- population description "Geospatial species occurrence datasets shared by biodiversity monitoring organizations, including citizen science platforms, national biodiversity databases, GBIF-mediated data, and sensitive species location records used in conservation planning and ecological research" assertion.
- privacy-enhancing-technologies-for-geospatial-biod description "In geospatial species occurrence datasets, how do different privacy-enhancing technologies compare to each other and to unprotected sharing in terms of privacy guarantee strength, preservation of ecological analytical utility, and implementation feasibility for biodiversity monitoring organizations?" assertion.
- comparatorGroup description "Different aggregation units (field, farm, commune, district, region), various differential privacy epsilon values, different k-anonymity thresholds, unprotected field-level data sharing, and traditional survey-based agricultural statistics" assertion.
- interventionGroup description "Privacy-preserving methods for producing regional and national agricultural statistics from farm-level satellite observations, including spatial aggregation schemes, differential privacy mechanisms, k-anonymity adaptations, secure multi-party computation for cross-organization analysis, and synthetic data generation" assertion.
- outcomeGroup description "Statistical accuracy of agricultural indicators (crop area estimates, yield predictions, input use statistics), individual farm re-identification risk, compliance with agricultural data protection regulations (EU CAP, US Farm Bill privacy provisions), utility for agricultural policy decisions and market analysis, and computational/administrative feasibility" assertion.
- population description "Field-level agricultural observations derived from satellite imagery including crop type classification, yield estimates, irrigation practices, fertilizer and pesticide application timing, tillage detection, and livestock density estimates from optical, SAR, and thermal sensors" assertion.
- privacy-preserving-agricultural-monitoring-from-sa description "For field-level agricultural observations derived from satellite imagery, how do different privacy-preserving aggregation and anonymization methods compare in producing accurate regional and national statistics while protecting individual farm-level information from re-identification?" assertion.
- comparatorGroup description "Different epsilon (ε) values ranging from 0.1 (strong privacy) to 10 (weak privacy); spatial vs. temporal vs. combined noise addition strategies; different noise mechanisms; unprotected release baseline; traditional resolution-limited release without formal guarantees" assertion.
- differential-privacy-for-satellite-derived-climate description "For satellite-derived climate data products at fine spatial resolution, how do differential privacy mechanisms at various epsilon levels affect the scientific utility for detecting climate trends, anomalies, and extreme events while providing formal privacy guarantees?" assertion.
- interventionGroup description "Differential privacy mechanisms applied to climate data products before public release, including spatial noise addition (Laplace, Gaussian), temporal perturbation, resolution coarsening with privacy guarantees, and synthetic climate data generation with formal privacy bounds" assertion.
- outcomeGroup description "Scientific utility for climate applications (trend detection accuracy, anomaly identification, extreme event detection), formal privacy guarantee strength, downstream model performance (crop yield models, hydrological simulations, energy demand forecasting), spatial and temporal correlation preservation, and practical feasibility for operational climate services" assertion.
- population description "Gridded climate and environmental data products derived from satellite observations at fine spatial and temporal resolution, including land surface temperature, precipitation estimates, vegetation indices (NDVI, EVI), soil moisture, snow cover, atmospheric composition, and derived climate indicators used in research, agriculture, water management, and infrastructure planning" assertion.
- comparatorGroup description "Traditional data sharing via bilateral agreements and data transfer, federated analysis without cryptographic protection, analysis restricted to national boundaries only, and trusted third-party data intermediaries" assertion.
- interventionGroup description "Privacy-preserving computation approaches enabling joint analysis without raw data transfer, including secure multi-party computation (MPC/SMPC), trusted execution environments (TEEs/secure enclaves), homomorphic encryption (FHE, PHE), federated analytics, and differential privacy for cross-border aggregates" assertion.
- outcomeGroup description "Analytical capability for transboundary environmental assessments (accuracy, completeness, timeliness), compliance with data sovereignty requirements and national legislation, computational feasibility (latency, cost, scalability), trust establishment and governance complexity, and operational sustainability" assertion.
- population description "Satellite-derived environmental monitoring data requiring cross-border sharing for regional and global analysis, including transboundary deforestation monitoring, shared watershed water quality assessment, cross-border air pollution tracking, migratory species monitoring, regional climate analysis, and disaster response coordination across national boundaries" assertion.
- privacy-preserving-computation-for-cross-border-ea description "For transboundary environmental monitoring requiring satellite data from multiple jurisdictions, how do cryptographic privacy-preserving computation approaches compare to traditional data sharing mechanisms in enabling regional analysis while respecting data sovereignty requirements?" assertion.
- comparatorGroup description "Centralized training with pooled data, transfer learning from publicly available pre-trained models, independent training without collaboration, and traditional data sharing agreements" assertion.
- federated-learning-for-satellite-image-classificat description "For satellite imagery classification tasks involving multiple data holders, how do federated learning approaches compare to centralized training and independent training in achieving model accuracy while preventing raw data exposure and enabling cross-organizational collaboration?" assertion.
- interventionGroup description "Federated learning approaches enabling collaborative model training without sharing raw imagery, including horizontal federated learning, vertical federated learning, federated transfer learning, and privacy-enhanced variants with differential privacy or secure aggregation" assertion.
- outcomeGroup description "Model accuracy and performance metrics (F1, IoU, mAP), communication efficiency (bandwidth requirements, convergence speed), privacy preservation (data leakage risk, gradient inversion attack resistance), scalability across heterogeneous sensors and resolutions, and practical deployment feasibility" assertion.
- population description "Multi-source satellite imagery datasets held by different organizations including space agencies (ESA, NASA, JAXA), commercial providers (Planet, Maxar, Airbus), national mapping agencies, and research institutions, covering applications such as land cover classification, object detection, change monitoring, and disaster response" assertion.
- comparatorGroup description "Open publication of all monitoring alerts (e.g., Global Forest Watch model), government-controlled access without indigenous consultation, complete restriction of indigenous territory data from external access, and external researcher-controlled access" assertion.
- data-governance-for-satellite-based-forest-monitor description "For satellite-based forest monitoring in indigenous territories, how do different data governance approaches balance effective deforestation and illegal activity detection with indigenous data sovereignty and protection of culturally sensitive locations?" assertion.
- interventionGroup description "Data governance approaches integrating indigenous data sovereignty principles with satellite monitoring, including consent-based access controls, spatial masking of culturally sensitive areas, indigenous-controlled data repositories, tiered alert systems with indigenous community notification priority, CARE principles implementation (Collective benefit, Authority to control, Responsibility, Ethics), and co-designed monitoring protocols" assertion.
- outcomeGroup description "Effectiveness of forest protection and illegal activity deterrence, respect for indigenous data sovereignty and CARE principles, usability for indigenous-led territorial monitoring and governance, prevention of unauthorized access to locations of uncontacted peoples and sacred sites, community satisfaction and trust, and sustainability of monitoring partnerships" assertion.
- population description "Satellite-based forest monitoring data covering indigenous territories, including deforestation alerts, fire detection, land use change classification, illegal mining and logging detection, and infrastructure encroachment monitoring in areas inhabited by indigenous peoples, including uncontacted or voluntarily isolated groups" assertion.
- comparatorGroup description "Different anonymization techniques compared against each other; anonymized vs. restricted-access vs. resolution-limited distribution models; automated vs. manual review processes" assertion.
- interventionGroup description "Privacy-preserving techniques for urban imagery distribution including automated anonymization (object detection and blurring, synthetic replacement, generative inpainting), access control frameworks (tiered licensing, user vetting, purpose limitation), resolution degradation protocols, temporal aggregation, and derivative product approaches (vector extraction, indices only)" assertion.
- outcomeGroup description "Utility for urban analysis tasks (building detection, change monitoring, infrastructure mapping, urban growth modeling, disaster damage assessment), privacy protection effectiveness (re-identification prevention, sensitive facility protection), processing overhead and scalability, compliance with privacy regulations, and commercial viability of different distribution models" assertion.
- population description "High-resolution (sub-meter to 30cm) satellite and aerial imagery of urban areas containing potentially identifiable features including vehicles, building details, rooftop installations, activity patterns, construction sites, and in some cases individuals, acquired by commercial satellite operators, aerial survey companies, and municipal authorities" assertion.
- privacy-preserving-distribution-of-high-resolution description "For high-resolution satellite and aerial imagery of urban areas, how do different anonymization and access control approaches compare in enabling urban analytics applications while protecting identifiable features and complying with privacy regulations?" assertion.
- assertion description "Declare a view that should be displayed for the given resource (e.g. space, user, maintained resource)." assertion.
- assertion description "Declare a view that should be displayed for the given resource (e.g. space, user, maintained resource)." assertion.
- Ward description "PhD student in Statistics at Tilburg University" assertion.
- Mortality description "Quantification of the number of deaths in a population." assertion.
- ClinicalSigns description "observable physiological or behavioral abnormalities in organisms following exposure to a substance." assertion.
- BodyWeightChange description "Any measurement of the alteration(s) in body weight over time." assertion.
- FoodConsumption description "A measurement of a subject's nutritional intake." assertion.
- OrganWeights description "the measured mass of specific organs collected from organisms following exposure to a substance, used to detect toxic effects." assertion.
- GrossPathologyFindings description "The outcome of a gross, or macroscopic, pathologic examination." assertion.
- ALT description "A family of pyridoxal phosphate-dependent enzymes involved in cellular nitrogen metabolism, amino acid metabolism, and liver gluconeogenesis." assertion.
- AST description "A family of pyridoxal phosphate-dependent enzymes involved in amino acid metabolism and in the urea and tricarboxylic acid cycles." assertion.
- ALP description "An enzyme that catalyzes the conversion of an orthophosphoric monoester and water to an alcohol and orthophosphate. EC 3.1.3.1." assertion.
- Bilirubin description "A bile pigment that is a degradation product of HEME." assertion.
- Creatinine description "A waste product produced by dietary protein digestion and breakdown product of creatine phosphate in muscle." assertion.
- BUN description "the concentration of urea or blood urea nitrogen in blood, used as an indicator of kidney function and protein metabolism." assertion.
- Glucose description "the concentration of glucose in blood, used as an indicator of metabolic and endocrine function" assertion.
- Lipids description "A generic term for fats and lipoids, the alcohol-ether-soluble constituents of protoplasm, which are insoluble in water." assertion.
- RBCcount description "The number of red blood cells in a specified volume of blood most commonly 1 cubic millimeter (i.e. 1 microliter) of peripheral venous blood." assertion.
- WBCcount description "The number of white blood cells in a specified volume of blood." assertion.
- Platelets description "Non-nucleated disk-shaped cells formed in the megakaryocyte and found in the blood of all mammals. They are mainly involved in blood coagulation." assertion.
- Hct description "Percentage of total blood volume that is made up of red blood cells." assertion.
- InflammationScore description "a semi-quantitative assessment of the severity and extent of inflammatory cell infiltration and tissue changes observed in histological samples." assertion.
- Fibrosis description "Any pathological condition where fibrous connective tissue invades any organ, usually as a consequence of inflammation or other injury." assertion.
- dysplasia description "An increase in the number of cells in a tissue or organ without tumor formation. It differs from HYPERTROPHY, which is an increase in bulk without an increase in the number of cells." assertion.
- foreignBodyReaction description "Histiocytic, inflammatory response to a foreign body. It consists of modified macrophages with multinucleated giant cells, in this case foreign-body giant cells" assertion.