Nanopublications LDF server

Matches in Nanopublications for { ?s <http://www.w3.org/2000/01/rdf-schema#comment> ?o ?g. }

• F2A-CS1-DOA7 comment "NorESM — the Norwegian Earth System Model — is a global climate model developed and maintained by NCC (NorESM Climate modeling Consortium). Development of NorESM began in 2007, including through the climate research project EarthClim. The model has been an important contributor to the WCRP (World Climate Research Programme), as well as reports from the UN Intergovernmental Panel on Climate Change (IPCC). NorESM simulates, among other things, wind, temperature, precipitation and cloud cover in the atmosphere; currents, temperature and salinity in the ocean; vegetation on land and moisture and temperature in the soil; and the extent and thickness of snow and ice on land and at sea. The structural composition of NorESM is largely based on the CESM (Community Earth System model), but with an ocean module that is unique to NorESM and a number of distinctive adaptations in the modules for atmosphere, vegetation and cryosphere. (source: https://no.wikipedia.org/wiki/NorESM)" assertion.
• dbSearch1 comment "Best free replacement for Scopus/WoS" assertion.
• dbSearch2 comment "Essential for quantum computing preprints" assertion.
• dbSearch3 comment "AI-enhanced search" assertion.
• dbSearch4 comment "Biomedical focus" assertion.
• dbSearch5 comment "OA content only due to paywall" assertion.
• dbSearch6 comment "Complements PubMed with European repository content" assertion.
• vbae208 comment "This demonstrates clear computational advantage of quantum approaches over classical methods for network analysis. The 19/20 success rate provides strong evidence for the PICO outcome measures regarding quantum advantage in biological network problems. Relevant for transferring methodology to ecological network analysis." assertion.
• vbae208 comment "Highlights current hardware constraints and practical workarounds. This addresses the PICO outcome regarding 'hardware requirements' and 'readiness for operational research'. The partitioning approach enables scaling beyond current qubit limitations, relevant for large-scale biodiversity networks." assertion.
• vbae208 comment "While focused on human disease networks rather than biodiversity, the methodology for analyzing regulatory networks and identifying significant motifs is directly applicable to ecological interaction networks, species distribution models, and conservation network analysis." assertion.
• _2 comment "The Khanga story - A.S.Kalume unpublished (2025)" assertion.
• _2 comment "https://www.taylorfrancis.com/chapters/edit/10.4324/9781032706122-8/colonial-impositions-postcolonial-dilemmas-contemporary-dynamics-place-naming-nairobi-kenya-melissa-wanjiru-mwita-fawcett-komollo" assertion.
• _2 comment "Picture" assertion.
• DICOM comment "DICOM stands for Digital Imaging and Communications in Medicine. It is a communication standard for dealing with medical information generated by medical equipment, such as scanners. DICOM has been developed by the Medical Imaging and Technology Alliance (MITA). Before the communication standard existed, information was stored in various file formats associated with the software of a specific medical device. DICOM has put an end to this. DICOM is widely used and is the standard within medical digital image processing. Both doctors and medical imaging research groups use the DICOM file format for their research. In the standard, various types of images are supported for different medical applications, both still images and moving images. DICOM supports commonly used compression standards, such as JPEG and JPEG2000, or MPEG-2 for video images. The copyright on the standard is held by the American National Electrical Manufacturers Association (NEMA). DICOM viewing software can be divided into two groups: (1) “proprietary” viewers that are part of the (medical) recording systems and (2) DICOM viewing software for PCs. Non-proprietary viewers that are available for free are DicomWorks, Osiris and IrfanView (a widely used all-format viewer). Adobe has developed a plug-in for Photoshop that makes it possible to view or export DICOM images and “header” (= metadata) information to other formats. The IrfanView program is also capable of extracting images and / or animations (sequence of images) from DICOM files. DICOM files are a preferred format, due to their open specification and adoption as standard within the medical world. In certain circumstances it may be useful to save a single DICOM file from the entire dataset as .jpeg / tiff (the image) and .txt file (the header). This is due to the fact that few people outside the medical world have experience with DICOM. This way you can easily view one file from the dataset, without having to use an open DICOM viewer. As datasets containing DICOM files tend to be relatively large, we advise you to contact a DANS data manager before depositing these files. We are happy to advise you on the best way to deliver data and store it in the dataset for user-friendly purposes DICOM is a preferred format for file type Images (raster)." assertion.
• F2A-CS1-DOA1 comment "The solar forcing is provided for radiative properties, namely total solar irradiance (TSI), solar spectral irradiance (SSI), and the F10.7 index." assertion.
• F2A-CS1-DOA1 comment "The solar forcing is provided for radiative properties, namely total solar irradiance (TSI), solar spectral irradiance (SSI), and the F10.7 index." assertion.
• F2A-CS1-DOA1 comment "The solar forcing is provided for radiative properties, namely total solar irradiance (TSI), solar spectral irradiance (SSI), and the F10.7 index." assertion.
• F2A-CS1-DOA1 comment "The solar forcing is provided for radiative properties, namely total solar irradiance (TSI), solar spectral irradiance (SSI), and the F10.7 index." assertion.
• IVOA-UAT comment "This is a re-publication of the Unified Astronomy Thesaurus (see https://astrothesaurus.org), in particular using human-readable URIs and with availability in Desise." assertion.
• F2A-CS1-DOA2 comment "CO2, CH4, N2O, CFC1-eq, CFC12** Green-house concentrations are used in the radiative transfer calculations, and the values are taken from Meinshausen et al. (2017). The prescribed concentrations are assumed to represent the surface concentrations. Latitudinal and species dependent profiles are used to calculate the concentrations at different altitudes." assertion.
• F2A-CS1-DOA2 comment "CO2, CH4, N2O, CFC1-eq, CFC12** Green-house concentrations are used in the radiative transfer calculations, and the values are taken from Meinshausen et al. (2017). The prescribed concentrations are assumed to represent the surface concentrations. Latitudinal and species dependent profiles are used to calculate the concentrations at different altitudes." assertion.
• F2A-CS1-DOA3 comment "Ozone concentration climatologies are used in the radiative transfer calculations. The ozone climatologies used in NorESM2 have a 5-day frequency, vary in height and latitude, but have no longitudinal dependce. They are based on simulations with CESM2-WACCM (Danabasoglu et al., 2019)." assertion.
• F2A-CS1-DOA3 comment "Ozone concentration climatologies are used in the radiative transfer calculations. The ozone climatologies used in NorESM2 have a 5-day frequency, vary in height and latitude, but have no longitudinal dependce. They are based on simulations with CESM2-WACCM (Danabasoglu et al., 2019)." assertion.
• F2A-CS1-DOA4 comment "BC, OM and SO2** Emissions of BC, OM and SO2 consists in contributions from anthropogenic sources, biomass burning, and continuous outgassing of SO2 by volcanoes. The anthropogenic sources (Hoesly et al., 2018) are given as 9 different sectors : emissions of agricultural activity, transport, domestic heating, solvents, waste and shipping are emitted at the surface; emissions from the energy and industrial sectors are emitted between 150 and 350 m height; aircraft emissions can go up to around 15 km. The biomass burning sources (van Marle et al., 2017) are give as 6 different categories, and emission heights differ among them : 0-100 m for agricultural waste burning and peat burning, 0-1 km for savannah burning and deforestation, 0-2 km for temperate forests, and 0-3 km for Boreal forests (Dentener et al., 2006). A fixed climatology of continuous tropospheric outgassing of SO2 by volcanoes is also included (Dentener et al., 2006). Emission inventories provide emission strengths for OC. For fossil fuel combustions we assumed an OM:OC ratio of 1.4, and for biomass burning of 2.6. Part of the SO2 (2.5% equivalent S) is emitted as SO4. Emission fields are provided both on the 1.9x2.5 and 0.9x1.25 horizontal grid." assertion.
• F2A-CS1-DOA4 comment "BC, OM and SO2** Emissions of BC, OM and SO2 consists in contributions from anthropogenic sources, biomass burning, and continuous outgassing of SO2 by volcanoes. The anthropogenic sources (Hoesly et al., 2018) are given as 9 different sectors : emissions of agricultural activity, transport, domestic heating, solvents, waste and shipping are emitted at the surface; emissions from the energy and industrial sectors are emitted between 150 and 350 m height; aircraft emissions can go up to around 15 km. The biomass burning sources (van Marle et al., 2017) are give as 6 different categories, and emission heights differ among them : 0-100 m for agricultural waste burning and peat burning, 0-1 km for savannah burning and deforestation, 0-2 km for temperate forests, and 0-3 km for Boreal forests (Dentener et al., 2006). A fixed climatology of continuous tropospheric outgassing of SO2 by volcanoes is also included (Dentener et al., 2006). Emission inventories provide emission strengths for OC. For fossil fuel combustions we assumed an OM:OC ratio of 1.4, and for biomass burning of 2.6. Part of the SO2 (2.5% equivalent S) is emitted as SO4. Emission fields are provided both on the 1.9x2.5 and 0.9x1.25 horizontal grid." assertion.
• F2A-CS1-DOA4 comment "BC, OM and SO2** Emissions of BC, OM and SO2 consists in contributions from anthropogenic sources, biomass burning, and continuous outgassing of SO2 by volcanoes. The anthropogenic sources (Hoesly et al., 2018) are given as 9 different sectors : emissions of agricultural activity, transport, domestic heating, solvents, waste and shipping are emitted at the surface; emissions from the energy and industrial sectors are emitted between 150 and 350 m height; aircraft emissions can go up to around 15 km. The biomass burning sources (van Marle et al., 2017) are give as 6 different categories, and emission heights differ among them : 0-100 m for agricultural waste burning and peat burning, 0-1 km for savannah burning and deforestation, 0-2 km for temperate forests, and 0-3 km for Boreal forests (Dentener et al., 2006). A fixed climatology of continuous tropospheric outgassing of SO2 by volcanoes is also included (Dentener et al., 2006). Emission inventories provide emission strengths for OC. For fossil fuel combustions we assumed an OM:OC ratio of 1.4, and for biomass burning of 2.6. Part of the SO2 (2.5% equivalent S) is emitted as SO4. Emission fields are provided both on the 1.9x2.5 and 0.9x1.25 horizontal grid." assertion.
• F2A-CS1-DOA5 comment "Production of H2O from methane oxidation is prescribed using a climatologies based on simulations with CESM2-WACCM. This source is especially relevant in the stratosphere. These climatologies have a monthly frequency, and a 3-dimensional spatial distribution. They are based on simulations with CESM2-WACCM (Danabasoglu et al., 2019)." assertion.
• F2A-CS1-DOA6 comment "To describe the impact of volcanic SO2 emissions reaching the stratosphere and forming SO4 aerosol, monthly varying climatologies of stratospheric aerosol properties are used." assertion.
• F2A-CS1-DOA6 comment "To describe the impact of volcanic SO2 emissions reaching the stratosphere and forming SO4 aerosol, monthly varying climatologies of stratospheric aerosol properties are used." assertion.
• F2A-CS1-DOA7 comment "OH, ozone, NO3-radical, HO2** The oxidant concentrations are used in the description of secondary aerosol formation (sulfate and SOA). OH, ozone, NO3 and H2O2 (formed by HO2) are relevant for the oxidation of DMS, SO2, isoprene, and monoterpenes. These climatologies have a monthly frequency, and a 3-dimensional spatial distribution. They are based on simulations with CESM2-WACCM (Danabasoglu et al., 2019)." assertion.
• F2A-CS1-DOA7 comment "OH, ozone, NO3-radical, HO2** The oxidant concentrations are used in the description of secondary aerosol formation (sulfate and SOA). OH, ozone, NO3 and H2O2 (formed by HO2) are relevant for the oxidation of DMS, SO2, isoprene, and monoterpenes. These climatologies have a monthly frequency, and a 3-dimensional spatial distribution. They are based on simulations with CESM2-WACCM (Danabasoglu et al., 2019)." assertion.
• F2A-CS1-DOA7 comment "OH, ozone, NO3-radical, HO2** The oxidant concentrations are used in the description of secondary aerosol formation (sulfate and SOA). OH, ozone, NO3 and H2O2 (formed by HO2) are relevant for the oxidation of DMS, SO2, isoprene, and monoterpenes. These climatologies have a monthly frequency, and a 3-dimensional spatial distribution. They are based on simulations with CESM2-WACCM (Danabasoglu et al., 2019)." assertion.
• F2A-CS1-DOA8 comment "To describe the emission strength of marine primary organic matter from the ocean, a monthly varying climatology of upper-ocean chlorophyl-a concentration is used." assertion.
• F2A-CS1-DOA8 comment "To describe the emission strength of marine primary organic matter from the ocean, a monthly varying climatology of upper-ocean chlorophyl-a concentration is used." assertion.
• F2A-CS1-DOA9 comment "In atmosphere-only simulations, the sea-surface temperature and sea-ice concentrations are prescribed as monthly varying climatologies. One can use climatologies that are based on observations (Hurrell et al., 2008), or climatologies derived from fully-coupled NorESM2 simulations." assertion.
• F2A-CS1-DOA5 comment "Production of H2O from methane oxidation is prescribed using a climatologies based on simulations with CESM2-WACCM. This source is especially relevant in the stratosphere. These climatologies have a monthly frequency, and a 3-dimensional spatial distribution. They are based on simulations with CESM2-WACCM (Danabasoglu et al., 2019)." assertion.
• F2A-CS1-DOA10 comment "NorESM — the Norwegian Earth System Model — is a global climate model developed and maintained by NCC (NorESM Climate modeling Consortium). Development of NorESM began in 2007, including through the climate research project EarthClim. The model has been an important contributor to the WCRP (World Climate Research Programme), as well as reports from the UN Intergovernmental Panel on Climate Change (IPCC). NorESM simulates, among other things, wind, temperature, precipitation and cloud cover in the atmosphere; currents, temperature and salinity in the ocean; vegetation on land and moisture and temperature in the soil; and the extent and thickness of snow and ice on land and at sea. The structural composition of NorESM is largely based on the CESM (Community Earth System model), but with an ocean module that is unique to NorESM and a number of distinctive adaptations in the modules for atmosphere, vegetation and cryosphere. (source: https://no.wikipedia.org/wiki/NorESM)" assertion.
• F2A-CS1-DOA11 comment "Results from coupled simulations of NorESM1-Happi model. This is a slightly modified version of NorESM1-M used for CMIP5 and with 1 degree atmospheric horizontal resolution. " assertion.
• Map comment "A raster map represents geographic or spatial information as a matrix of equally sized cells, where each cell contains a value describing a measured or modelled variable at that location." assertion.
• F2A-CS1-DOA12 comment "Maps about the modelled radioactive tracers" assertion.
• F2A-CS1-US4 comment "This involves embedded text in the plots." assertion.
• F2A-CS4-DOA1 comment "Decree-Law published in the Official Gazette of Portugal." assertion.
• F2A-CS4-DOA2 comment "Platform that provides climate information for Portugal Mainland and Islands, offering data and forecasts, for monitoring climate trends." assertion.
• F2A-CS4-DOA3 comment "Peer-reviewed publications that provide data, methodologies or reviews that contribute to advancing knowledge and informing policy." assertion.
• Website comment "A website is a collection of interlinked web pages and associated digital resources, identified by a single domain or URL, that is accessed via the World Wide Web and primarily intended to present information or content to users through a web browser." assertion.
• F2A-CS4-DOA5 comment "Network that connects municipalities and partner organizations to support local CCA. Provides resources, trainings and promotes peer learning." assertion.
• F2A-CS4-DOA4 comment "Official portal for national statistics on socio-economics." assertion.
• F2A-CS4 comment "Design of FAIR-by-design national climate change adaptation platform for Portugal" assertion.
• RAbIJrDVjDcn1EUYlydggxBqT2_EohlD3sOvNd3uzJlHE comment "Nanopublication asserting CoxBase as the first integrated platform for Coxiella burnetii genotyping" pubinfo.
• RAIpMzj66zqPspjNCxTSFxhlP30UC4pSCYS3UqZBy-scI comment "This nanopublication describes CoxBase, the first comprehensive online platform combining five genotyping methods for epidemiological surveillance and analysis of Coxiella burnetii" pubinfo.
• RAnh-o0GrvBfvoyiruq9UnbZOaNcHbue5O-FU6300R_Jg comment "This nanopublication describes CoxBase, the first comprehensive online platform combining five genotyping methods for epidemiological surveillance and analysis of Coxiella burnetii" pubinfo.
• RAVrvVI8ocyhT_kNd261nQtjAfvk4Uzl3meFWALszzW8I comment "This nanopublication describes the MLVA (Multiple-Locus Variable-Number Tandem-Repeat Analysis) genotyping method as implemented in CoxBase for high-resolution strain discrimination of Coxiella burnetii based on 14 tandem repeat loci" pubinfo.
• MLVAMethod comment "Calculation formula: RN = (AL - FL) / RS where RN=repeat number, AL=amplicon length, FL=flanking length, RS=repeat size" assertion.
• RAJdsIijwbwE_9GRnUpAgJ0y_E829QmbS6B57uTJDPODI comment "This nanopublication describes the MLVA (Multiple-Locus Variable-Number Tandem-Repeat Analysis) genotyping method as implemented in CoxBase for high-resolution strain discrimination of Coxiella burnetii based on 14 tandem repeat loci" pubinfo.
• MLVAMethod comment "Calculation formula: RN = (AL - FL) / RS where RN=repeat number, AL=amplicon length, FL=flanking length, RS=repeat size" assertion.
• RA3Ga5Vi_eWf7Uuwz5qaAYl-ulTlnx04Pd3mudB3cCSo8 comment "This nanopublication describes the relationship between Q fever disease and its causative agent Coxiella burnetii, including disease manifestations and bacterial characteristics" pubinfo.
• RAEAFgWctPDe34HnSz94z5AMmIWPCMAF6SohmklbWGm3g comment "Nanopublication describing the CoxBase validation study and its results" pubinfo.
• RAgQtA5jttymWhNjcLBw7tjeeS2imfALOUZJhuObZwMug comment "Nanopublication asserting the relative resolution of different Coxiella burnetii genotyping methods, comparing MLVA, MST, IS1111 (high resolution) with adaA and plasmid typing (lower resolution)" pubinfo.
• RAJrOEflQ_Bm3nEfar-7EoKKbBFCdtieMsV0Gno_pdEHY comment "Nanopublication describing the utility of in silico genotyping methods for rapid genotyping of Coxiella burnetii genomic sequences, covering MLVA, MST, IS1111, adaA and plasmid typing methods" pubinfo.
• RAeCxjIx0rgSY9AdOe-lum4Un1tmzE_1uaMAHAcxBxN6s comment "Nanopublication describing the utility of in silico genotyping methods for rapid genotyping of Coxiella burnetii genomic sequences, covering MLVA, MST, IS1111, adaA and plasmid typing methods" pubinfo.
• kinetics-model comment "P0 represents protected RNA pool proportion; k'i represents digestion rate constant" assertion.
• kinetics-model comment "Parameters P0 and k'i capture the proportion of protected RNA and digestion rate constant respectively" assertion.
• kinetics-model comment "Model assumes fixed time t=10 min; R0 = initial RNA concentration; A = RNase A concentration" assertion.
• method comment "Leverages classical enzymatic kinetics to track depletion dynamics of transcripts using RNase gradients" assertion.
• method comment "Leverages classical enzymatic kinetics to track depletion dynamics of transcripts using RNase gradients" assertion.
• mock-coloc-experiment comment "Distinguishes genuine protection from intrinsic RNase resistance" assertion.
• mock-coloc-experiment comment "Critical validation that observed protection genuinely reflects organellar localization and not artifact of RNA secondary structure or RNase resistance" assertion.
• RA4TkcJzz1U1F2f3Mh29t1N0eYXyPFltTxbk9t0Y_v-AU comment "AIDA-based assertion about CoLoC-seq as a novel subcellular transcriptomics approach" pubinfo.
• RAMVUimnATifJYJw0VP2zAesw4OK_Gw30p9NgcEU4oVW8 comment "AIDA-based assertion defining CoLoC-seq as a novel subcellular transcriptomics approach" pubinfo.
• RAMVUimnATifJYJw0VP2zAesw4OK_Gw30p9NgcEU4oVW8 comment "AIDA assertion covering the fundamental concept and application areas of CoLoC-seq" assertion.
• parameter-P0 comment "Primary parameter of interest for CoLoC-seq; determined by nonlinear curve fitting" assertion.
• parameter-k-prime comment "Fitted using Leverberg Marquardt regression; higher k' indicates faster degradation" assertion.
• RA_C-L7pLBKSyHDhS2YIFmqfb_-BLGOldcUb8emWvRltA comment "AIDA-based assertion explaining the mathematical model and key parameters of CoLoC-seq" pubinfo.
• RA_C-L7pLBKSyHDhS2YIFmqfb_-BLGOldcUb8emWvRltA comment "AIDA assertion explaining the kinetics model formula and key parameters" assertion.
• RAqWgWTy_lLfUrvdgqP0lggMHH_Of_5TgmpDWkpxe16gg comment "AIDA-based assertion describing the mock control experiment validation strategy" pubinfo.
• RAqWgWTy_lLfUrvdgqP0lggMHH_Of_5TgmpDWkpxe16gg comment "AIDA assertion detailing the mock CoLoC-seq control methodology" assertion.
• RAnGxpTDHemPIuRP09a8Qq55oseUT_NnzlkZdSraEM0qY comment "AIDA-based assertion about the CoLoC-seq kinetics model and the P0 parameter" pubinfo.
• result-mtdna-transcripts comment "mt-tRNAVal and mt-tRNALys fully resistant to RNase A; rapidly degraded in Mock CoLoC-seq" assertion.
• result-ndna-contamination comment "5.8S rRNA and U6 snRNA rapidly degraded in both CoLoC-seq and Mock CoLoC-seq" assertion.
• validation-correlation comment "90.6% of measurements within 0.3 of northern blotting values; high concordance of P0 values (ρ = 0.822, P = 1.6e-5)" assertion.
• RA6_pOabaeorsg_3G0C-SqZUsvODlrcnWuCio2R-1aYrA comment "AIDA-based assertion about CoLoC-seq validation and experimental results" pubinfo.
• step-isolation comment "Optional isopycnic centrifugation in sucrose gradient for enhanced purity" assertion.
• step-library-prep comment "Excludes RNase-cleaved transcripts (5'-OH and 3'-PO4 incompatible with ligation)" assertion.
• step-rnase-treatment comment "Parallel Mock CoLoC-seq with detergent-permeabilized membranes as control" assertion.
• RALlmEPut18Vg-rl5s7_ZhVAnEy61gPXfDxQIFOXpqqbU comment "AIDA-based assertion about the CoLoC-seq experimental protocol" pubinfo.
• advantage-kinetics-approach comment "Overcomes major limitation of standard fractionation methods" assertion.
• advantage-mock-control comment "Essential quality control for validating resident RNA identification" assertion.
• advantage-no-genetic-modification comment "Key practical advantage for diverse research applications" assertion.
• advantage-universal-applicability comment "Major advantage over proximity labeling techniques" assertion.
• RAZTGowlvcV7tu_Gi1DpIhq3KNCra6KQBgpAdqx7gSMrE comment "AIDA-based assertion about CoLoC-seq innovations compared to existing subcellular transcriptomics methods" pubinfo.
• RA7XVA-qxN_CFEOrl5I_M3-1okgE8LhHCd5FlrCg36UY8 comment "This nanopublication serves as a hub/index linking to granular assertions about different aspects of CoLoC-seq methodology" assertion.
• RA7XVA-qxN_CFEOrl5I_M3-1okgE8LhHCd5FlrCg36UY8 comment "Hub nanopub linking to granular assertions about CoLoC-seq methodology, kinetics model, and validation" pubinfo.
• interactoa.zbmed.de comment "Web application for exploring sRNA regulatory networks from open-access literature" assertion.
• assertion comment "InteractOA is defined as a web application in the source publication" provenance.
• RA81mzVzbfb3Zfjcd6RYyZdJQmQyCbeLGS1ozsVptl8cs comment "Name label for the InteractOA application" pubinfo.
• assertion comment "Label identified in the InteractOA publication" provenance.
• assertion comment "Description from the InteractOA publication abstract and introduction" provenance.
• assertion comment "Primary URL where InteractOA application is hosted" provenance.
• assertion comment "InteractOA is built on and leverages Wikidata as a knowledge base" provenance.
• assertion comment "InteractOA is licensed under Creative Commons Attribution 4.0 International" provenance.

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