Matches in Nanopublications for { ?s <http://purl.org/dc/terms/description> ?o ?g. }
- assertion description "This template can be used to produce a machine actionable metadata record regarding the exposure of plants to nanomaterials. The template allows the recording of scientific, bibliographic, and provenance metadata." assertion.
- assertion description "This template can be used to produce a machine actionable metadata record regarding the exposure of plants to nanomaterials. The template allows the recording of scientific, bibliographic, and provenance metadata." assertion.
- assertion description "This template can be used to produce a machine actionable metadata record regarding the exposure of plants to nanomaterials. The template allows the recording of scientific, bibliographic, and provenance metadata." assertion.
- assertion description "This template can be used to produce a machine actionable metadata record regarding the characterisation and transformation(s) of (nano)materials. The template allows the recording of scientific, bibliographic, and provenance metadata" assertion.
- fip description "JERICO-Italia FIP" assertion.
- MorganFingerprints description "Morgan fingerprints are a type of molecular fingerprint used in cheminformatics and drug discovery to represent molecules as binary vectors (lists of 0s and 1s). These fingerprints encode information about the presence and connectivity of atoms and functional groups within a defined radius around each atom in a molecule" assertion.
- MACCSKeys description "MACCS keys (Molecular ACCess System keys) are a set of predefined structural keys (binary fingerprints) used to represent chemical structures in a way that facilitates fast searching, similarity comparisons, and clustering in cheminformatics" assertion.
- MordrerDescriptors description "Mordred descriptors are a set of 1,826 molecular descriptors generated by the Mordred Python library, which is widely used for cheminformatics and QSAR/QSPR modelling. Mordred descriptors are numerical values that encode a wide range of chemical and structural properties of molecules" assertion.
- MordredDescriptors description "Mordred descriptors are a set of 1,826 molecular descriptors generated by the Mordred Python library, which is widely used for cheminformatics and QSAR/QSPR modelling. Mordred descriptors are numerical values that encode a wide range of chemical and structural properties of molecules" assertion.
- SkinSensitisation description "Skin sensitization is induced sensitivity to an agent that in time leads to an allergic response to that agent" assertion.
- SkinIrritation description "Skin irritation or corrosion are localized toxic effects resulting from exposure to an agent" assertion.
- AcuteDermalToxicity description "A toxicity disposition that inheres in a substance that is capable of causing harm to or killing organisms quickly when exposed to the skin" assertion.
- RepeatedDoseDermalToxicity description "A toxicity disposition that inheres in a substance that is capable of causing harm to or killing organisms when exposed to the skin multiple times" assertion.
- assertion description "This template can be used to produce a machine actionable metadata record regarding the characterisation and transformation(s) of (nano)materials. The template allows the recording of scientific, bibliographic, and provenance metadata" assertion.
- assertion description "This template can be used to produce a machine actionable metadata record regarding the exposure of plants to nanomaterials. The template allows the recording of scientific, bibliographic, and provenance metadata." assertion.
- Skin description "An organ that constitutes the external surface of the body. It consists of the epidermis, dermis, and skin appendages" assertion.
- assertion description "This template can be used to produce a machine actionable metadata record regarding the in vitro exposure to (nano)materials. The template allows the recording of scientific, bibliographic, and provenance metadata" assertion.
- assertion description "This template can be used to produce a machine actionable metadata record regarding the in vitro exposure to chemical(s). The template allows the recording of scientific, bibliographic, and provenance metadata" assertion.
- Datasets.zul?datasetID=ds15 description "A curated and enriched dataset focused on the skin sensitization potential of small organic molecules. The data were sourced from the Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM) and the Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) study results databases, and were curated as part of the study by Borba et al. (https://ehp.niehs.nih.gov/doi/10.1289/EHP9341). The final dataset comprises 1,000 unique compounds, classified as skin sensitizers (label 1) and non-sensitizers (label 0). Data are enriched with 1098 Mordred descriptors, as well as MACCS and Morgan fingerprints derived from their 2D molecular structures. Information on the compounds CAS, CID, InChIKey etc. are also included whenever possible, retrieved from the PubChem database." assertion.
- get-quarterly-active-organic-user-count description "Returns the number of active users per quarter since 2022. Two sequences of non-organic acquisition (as part of university course) are filtered out." assertion.
- cbor-ld-spec description "A CBOR-based serialization format for Linked Data, designed to leverage the JSON-LD ecosystem for compact, efficient binary encoding in constrained environments. " assertion.
- get-quarterly-active-organic-user-count description "Returns the number of active users per quarter since 2022. Two sequences of non-organic acquisition (as part of university course) are filtered out." assertion.
- Datasets.zul?datasetID=ds14 description "A curated and enriched dataset focused on the skin irritation potential of small organic molecules. Data were retrieved from the Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) database, and were curated as part of the study by Borba et al. (https://ehp.niehs.nih.gov/doi/10.1289/EHP9341). The final dataset comprises 1,011 unique compounds, classified as skin irritants (label 1) and non- irritants (label 0). Data are enriched with 1,165 Mordred descriptors, as well as MACCS and Morgan fingerprints derived from their 2D molecular structures. Information on the compounds CAS, CID, InChIKey etc. are also included whenever possible, retrieved from the PubChem database." assertion.
- Datasets.zul?datasetID=ds14 description "A curated and enriched dataset focused on the skin irritation potential of small organic molecules. Data were retrieved from the Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) database, and were curated as part of the study by Borba et al. (https://ehp.niehs.nih.gov/doi/10.1289/EHP9341). The final dataset comprises 1,011 unique compounds, classified as skin irritants (label 1) and non- irritants (label 0). Data are enriched with 1,165 Mordred descriptors, as well as MACCS and Morgan fingerprints derived from their 2D molecular structures. Information on the compounds CAS, CID, InChIKey etc. are also included whenever possible, retrieved from the PubChem database." assertion.
- find-gofair-qualified-vocab-onto description "This query allows for searching for resources (FERs etc.) together with the info about whether GO FAIR qualified them." assertion.
- find-gofair-qualified-vocab-onto description "This query allows for searching for resources (FERs etc.) together with the info about whether GO FAIR qualified them." assertion.
- fip description "GFF R-FIP" assertion.
- Datasets.zul?datasetID=ds13 description "A curated and enriched dataset focused on the acute dermal toxicity of small organic molecules. The data were sourced from the REACH Study Results Database, ToxValDB, and relevant scientific literature, and were curated as part of the study by Borba et al. (https://ehp.niehs.nih.gov/doi/10.1289/EHP9341). The final dataset includes 2,616 compounds, enriched with 1,003 Mordred descriptors, as well as MACCS and Morgan fingerprints derived from their 2D molecular structures. Each compound is labelled as either “1” (toxicant) or “0” (non-toxicant), indicating its classification based on acute dermal toxicity. Information on the compounds CAS, CID, InChIKey etc. are also included whenever possible, retrieved from the PubChem database." assertion.
- fip description "FIESTA EO FIP" assertion.
- assertion description "This template allows researchers to document their systematic review search strategy following PRISMA 2020 guidelines. It captures search terms, databases, date ranges, and expected results using Dublin Core Terms and RDFS vocabularies. Corresponds to PRISMA 2020 Item 7 (Search) and supports transparent, reproducible literature searches." assertion.
- assertion description "This template allows researchers to document their systematic review search strategy following PRISMA 2020 guidelines. It captures search terms, databases, date ranges, and expected results using Dublin Core Terms and RDFS vocabularies. Corresponds to PRISMA 2020 Item 7 (Search) and supports transparent, reproducible literature searches." assertion.
- get-places-in-africa description "This query returns all places (geosparql:Feature) located in Africa." assertion.
- assertion description "This template allows researchers to document their systematic review search strategy following PRISMA 2020 guidelines. It captures search terms, databases, date ranges, and expected results using Dublin Core Terms and RDFS vocabularies. Corresponds to PRISMA 2020 Item 7 (Search) and supports transparent, reproducible literature searches." assertion.
- tumorformula description "Formel und Werte zur Beschreibung von Tumorgröße, Ausbreitung, Aggressivität und Rezeptorstatus bei Brustkrebs. Enthält Parameter, Legenden sowie Abbildungen." assertion.
- tumorformula description "Formel und Werte zur Beschreibung von Tumorgröße, Ausbreitung, Aggressivität und Rezeptorstatus bei Brustkrebs. Enthält Parameter, Legenden sowie Abbildungen." assertion.
- tumorformula description "Formel und Werte zur Beschreibung von Tumorgröße, Ausbreitung, Aggressivität und Rezeptorstatus bei Brustkrebs. Enthält Parameter, Legenden sowie Abbildungen." assertion.
- assertion description "This nanopublication defines an assertion template. Such templates are used to generate the input form for the (blue) assertion part of nanopublications." assertion.
- assertion description "Just for testing literal datatypes / language tags." assertion.
- assertion description "Just for testing literal datatypes / language tags." assertion.
- assertion description "This nanopublication defines an assertion template. Such templates are used to generate the input form for the assertion part of nanopublications." assertion.
- assertion description "This template allows researchers to structure their systematic review research question using the PICO framework (Population, Intervention, Comparison, Outcome). It captures the structured question components and provides the foundation for systematic review methodology following PRISMA 2020 guidelines." assertion.
- research-question description "In geospatial data processing applications, do Discrete Global Grid Systems provide superior performance, accuracy, scalability, and efficiency compared to traditional coordinate reference systems and spatial indexing methods?" assertion.
- assertion description "This template allows researchers to document their systematic review search strategy following PRISMA 2020 guidelines. It captures search terms, databases, date ranges, and expected results using Dublin Core Terms and RDFS vocabularies. Corresponds to PRISMA 2020 Item 7 (Search) and supports transparent, reproducible literature searches." assertion.
- assertion description "This template allows researchers to document their systematic review search strategy following PRISMA 2020 guidelines. It captures search terms, databases, date ranges, and expected results using Dublin Core Terms and RDFS vocabularies. Corresponds to PRISMA 2020 Item 7 (Search) and supports transparent, reproducible literature searches." assertion.
- assertion description "This template allows researchers to document their systematic review search strategy following PRISMA 2020 guidelines. It captures search terms, databases, date ranges, and expected results using Dublin Core Terms and RDFS vocabularies. Corresponds to PRISMA 2020 Item 7 (Search) and supports transparent, reproducible literature searches." assertion.
- assertion description "This template allows researchers to document their systematic review search strategy following PRISMA 2020 guidelines. It captures search terms, databases, date ranges, and expected results using Dublin Core Terms and RDFS vocabularies. Corresponds to PRISMA 2020 Item 7 (Search) and supports transparent, reproducible literature searches." assertion.
- dataset description "Ocean in situ data observe by Argo profiling floats" assertion.
- _step description "Step 2" assertion.
- _step description "Step 1" assertion.
- _step description "Step 3" assertion.
- _plan description "This is a test workflow." assertion.
- _step description "Step 1" assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description "Step 2" assertion.
- _step description "Step 3" assertion.
- _plan description "This is a test workflow." assertion.
- _step description "Preheat an oven to 200 degrees C." assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description "Step 2" assertion.
- _step description "Step 3" assertion.
- _plan description "This is a test workflow." assertion.
- _step description "Preheat an oven to 200 degrees C." assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description "Step 2" assertion.
- _step description "Step 3" assertion.
- _plan description "This is a test workflow." assertion.
- _step description "Preheat an oven to 200 degrees C." assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description "Step 2" assertion.
- _step description "Step 3" assertion.
- _plan description "This is a test workflow." assertion.
- _step description "Preheat an oven to 200 degrees C." assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description "Step 2" assertion.
- _step description "Step 3" assertion.
- _plan description "This is a test workflow." assertion.
- _step description "Preheat an oven to 200 degrees C." assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.
- _step description "Step 2" assertion.
- _step description "Step 3" assertion.
- _plan description "This is a test workflow." assertion.
- _step description "Preheat an oven to 200 degrees C." assertion.
- _step description " @is_fairstep(label='test_label') def add(a: int, b: int) -> int: """ Computational step adding two ints together. """ return a + b " assertion.
- _step description "Step 1" assertion.