cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17295506
title: PRISMA 2020 Checklist for "Sensory Evaluation of 3D-Printed Foods: A Systematic Literature Review"
title: Dataset for "Sensory Evaluation of 3D-Printed Foods: A Systematic Literature Review"

description: Background: Three-dimensional (3D) food printing is an emerging technology with potential applications in personalized nutrition and sustainable food production. However, its success hinges critically on consumer acceptance, which is predominantly determined by the sensory properties of the printed products. A comprehensive synthesis of the literature on the sensory evaluation of 3D-printed foods was needed. Objective: This systematic review aimed to map and critically analyse the current state of knowledge on the sensory properties of 3D-printed foods, the methodologies used for their evaluation, and the relationship between printing parameters, material properties, and sensory perception. Methods: A systematic literature search was conducted, resulting in the inclusion and analysis of 65 relevant scientific studies. Results: The field is experiencing exponential growth, with research focused on chocolate, meat products, and purees, often printed as simple geometric shapes for controlled study. Sensory evaluation relies heavily on affective (hedonic) and descriptive methods (e.g., QDA). A strong link exists between the rheological and textural properties of the food inks ("printability") and the sensory attributes of the final product ("liking or acceptability"). Key challenges include the limited use of existing sensory methods and the need to explore sustainable ingredients. Conclusion: The future of the field lies in integrating material science with sensory science to create customized, nutritious, and appealing foods. The application of different sensory methods according to the study objective and further research into the dynamics of oral processing are essential for progress.
DOI: 10.5281/zenodo.17295507
title: PRISMA 2020 Checklist for "Sensory Evaluation of 3D-Printed Foods: A Systematic Literature Review"
title: Dataset for "Sensory Evaluation of 3D-Printed Foods: A Systematic Literature Review"

description: Background: Three-dimensional (3D) food printing is an emerging technology with potential applications in personalized nutrition and sustainable food production. However, its success hinges critically on consumer acceptance, which is predominantly determined by the sensory properties of the printed products. A comprehensive synthesis of the literature on the sensory evaluation of 3D-printed foods was needed. Objective: This systematic review aimed to map and critically analyse the current state of knowledge on the sensory properties of 3D-printed foods, the methodologies used for their evaluation, and the relationship between printing parameters, material properties, and sensory perception. Methods: A systematic literature search was conducted, resulting in the inclusion and analysis of 65 relevant scientific studies. Results: The field is experiencing exponential growth, with research focused on chocolate, meat products, and purees, often printed as simple geometric shapes for controlled study. Sensory evaluation relies heavily on affective (hedonic) and descriptive methods (e.g., QDA). A strong link exists between the rheological and textural properties of the food inks ("printability") and the sensory attributes of the final product ("liking or acceptability"). Key challenges include the limited use of existing sensory methods and the need to explore sustainable ingredients. Conclusion: The future of the field lies in integrating material science with sensory science to create customized, nutritious, and appealing foods. The application of different sensory methods according to the study objective and further research into the dynamics of oral processing are essential for progress.
DOI: 10.15468/dl.a2e8qw
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ischnocnema nasuta (Lutz, 1925)"
 ]
}

 The dataset includes 41 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017568-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72sdz5
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potentilla pulchella R.Br.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 992 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261906-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrfdrg
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thryophilus sernai Lara, Cuervo, Valderrama, Calderón-F & Cadena, 2012"
 ]
}

 The dataset includes 148 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039919-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26187/deakin.25777692
title: BeyondNow Version 2 Evaluation Final Report 2021.pdf

description: This evaluation aimed to determine the extent to which the second version of the Beyond Now App is culturally appropriate for Aboriginal and Torres Strait Islander and LGBTIQA+ peoples and to determine any cultural barriers or enablers which influence use. The project also aimed to understand the user experiences, usage, and participation as well as any unintended positive or negative outcomes of app use.
DOI: 10.26187/deakin.25777692.v1
title: BeyondNow Version 2 Evaluation Final Report 2021.pdf

description: This evaluation aimed to determine the extent to which the second version of the Beyond Now App is culturally appropriate for Aboriginal and Torres Strait Islander and LGBTIQA+ peoples and to determine any cultural barriers or enablers which influence use. The project also aimed to understand the user experiences, usage, and participation as well as any unintended positive or negative outcomes of app use.
DOI: 10.15468/dl.zt23r7
title: Occurrence Download

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phenology and biological traits of migrating river lamprey sampled by electrofishing in the Oir river (France)."
 ]
}

 The dataset's 6 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001858-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pup2cx
title: Occurrence Download

description: A dataset containing 857 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heraeus Stal, 1862"
 ]
}

 The dataset includes 857 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012794-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zn1da8
title: Occurrence Download

description: A dataset containing 995 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Netherlands",
 "Country is France",
 "Country is Sweden",
 "Country is Spain",
 "Country is Slovakia",
 "Country is Germany"
 ]
 },
 "HasCoordinate is false",
 {
 "or" : [
 "TaxonKey is Robinia pseudoacacia L.",
 "TaxonKey is Robinia pseudoacacia f. semperflorens (Carrière) Voss",
 "TaxonKey is Robinia pseudoacacia subsp. crispa (DC.) Arcang.",
 "TaxonKey is Robinia pseudoacacia f. pyramidalis (Pépin) Rehder",
 "TaxonKey is Robinia pseudoacacia var. pyramidalis (Pépin) C.K.Schneid.",
 "TaxonKey is Robinia pseudoacacia var. pendula (Ortega) Loudon",
 "TaxonKey is Robinia pseudoacacia var. crispa DC.",
 "TaxonKey is Robinia pseudoacacia f. pseudoacacia",
 "TaxonKey is Robinia pseudoacacia subsp. tortuosa (Hoffmanns.) Arcang.",
 "TaxonKey is Robinia pseudoacacia var. umbraculifera (DC.) DC."
 ]
 }
 ]
}

 The dataset includes 995 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039920-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne9hv6
title: Occurrence Download

description: A dataset containing 783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Cuphea appendiculata Benth."
 ]
}

 The dataset includes 783 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002639-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yz4pfr
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((32.341 45.46967,32.23114 45.28839,32.40143 45.13458,32.54974 44.94232,33.20892 44.18427,34.04938 44.16229,35.23041 44.42596,36.51581 44.95331,36.49384 45.10162,36.53778 45.26093,36.65314 45.35431,36.63116 45.42023,36.53778 45.55206,36.34552 45.56305,36.01044 45.54657,35.7962 45.48615,35.16998 45.58502,35.02167 45.79926,34.80743 45.93109,34.62616 45.99701,34.48883 46.01349,34.29108 46.01349,34.08783 46.04095,33.76923 46.1673,33.65387 46.0849,33.48358 45.95306,32.92877 45.78827,32.341 45.46967))",
 {
 "or" : [
 "VerbatimScientificName is Antitrichia curtipendula",
 "VerbatimScientificName is Codium vermilara",
 "VerbatimScientificName is Allium nathaliae",
 "VerbatimScientificName is Ellobius talpinus",
 "VerbatimScientificName is Spermophilus pygmaeus",
 "VerbatimScientificName is Vespertilio murinus",
 "VerbatimScientificName is Pipistrellus kuhlii",
 "VerbatimScientificName is Myotis blythii",
 "VerbatimScientificName is Barbastella barbastellus",
 "VerbatimScientificName is Rhinolophus hipposideros",
 "VerbatimScientificName is Rhinolophus ferrumequinum",
 "VerbatimScientificName is Crocidura leucodon",
 "VerbatimScientificName is Columba livia",
 "VerbatimScientificName is Columba oenas",
 "VerbatimScientificName is Bubo bubo",
 "VerbatimScientificName is Asio flammeus",
 "VerbatimScientificName is Tyto alba",
 "VerbatimScientificName is Coracias garrulus",
 "VerbatimScientificName is Alcedo atthis",
 "VerbatimScientificName is Alaudala rufescens"
 ]
 }
 ]
}

 The dataset includes 451 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143617-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7ed4m
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boutonia DC."
 ]
}

 The dataset includes 123 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039923-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9xsg6
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample"
 ]
 },
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Testudo graeca Linnaeus, 1758"
 ]
}

 The dataset includes 122 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140533-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zc95b6
title: Occurrence Download

description: A dataset containing 25543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (South America, North America)",
 "Country is one of (United States of America, Brazil, Colombia, Mexico, Panama, Bolivia (Plurinational State of))",
 "OccurrenceStatus is Present",
 "TaxonKey is Ixodidae",
 "Year 1980-2024"
 ]
}

 The dataset includes 25543 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002650-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grsndy
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thryophilus nicefori (Meyer de Schauensee, 1946)"
 ]
}

 The dataset includes 176 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039925-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfx9xj
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dicranura ulmi (Denis & Schiffermüller), 1775"
 ]
}

 The dataset includes 202 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096833-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swgipu
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boutonia DC."
 ]
}

 The dataset includes 123 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039925-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1156996.10fu
title: SH1156996.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1156998.10fu
title: SH1156998.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157002.10fu
title: SH1157002.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157004.10fu
title: SH1157004.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157005.10fu
title: SH1157005.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157007.10fu
title: SH1157007.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157008.10fu
title: SH1157008.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1157012.10fu
title: SH1157012.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.