cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16911598
title: ITALIAN ROMAN AND LATE ANTIQUITY STABLE ISOTOPES DATABASE

description: This dataset compiles stable carbon (δ¹³C) and nitrogen (δ¹⁵N) isotope values from human, animal, and plant remains recovered from archaeological sites across Italy, dating to the Roman and Late Antiquity periods (ca. 1st century BCE – 7th century CE). The dataset comprises data from published literature and thesis/dissertations, and provides a comprehensive resource for exploring dietary practices, ecological relationships, and food economy in ancient Italy.

Each record includes information on sample identification (site name, context, species), chronological attribution, isotopic values (δ¹³C, δ¹⁵N), and associated metadata (e.g., period, references where available). Human data reflect diet and subsistence practices, while faunal and botanical data serve as ecological and isotopic baselines.

The database aims to facilitate comparative analyses of ancient diets, agricultural strategies, and regional variation in isotope values. It supports research in archaeology, bioarchaeology, palaeodietary reconstruction, and palaeoecology. It is associated with the article "Diet and health in Roman and Late Antique Italy: integrating isotopic and dental calculus evidence", from Gentile et al. [PCA 15 (2025) ISSN: 2039-7895 (pp. 29-54) DOI: 10.69106/pca2025.02].

 

Temporal coverage: ca. 1st century BCE – 7th century CEGeographic coverage: Italian Peninsula (multiple regions and sites)Data types: δ¹³C and δ¹⁵N values (‰, relative to VPDB and AIR standards, respectively)Subjects: Human, animal, and plant remainsFile format: CSV / XLSX

Recommended citation: Neves et al. (2025). Carbon and nitrogen isotope database from Roman and Late Antiquity Italy [Data set]. Zenodo. https://doi.org/10.5281/zenodo.16911599
DOI: 10.5281/zenodo.16911599
title: ITALIAN ROMAN AND LATE ANTIQUITY STABLE ISOTOPES DATABASE

description: This dataset compiles stable carbon (δ¹³C) and nitrogen (δ¹⁵N) isotope values from human, animal, and plant remains recovered from archaeological sites across Italy, dating to the Roman and Late Antiquity periods (ca. 1st century BCE – 7th century CE). The dataset comprises data from published literature and thesis/dissertations, and provides a comprehensive resource for exploring dietary practices, ecological relationships, and food economy in ancient Italy.

Each record includes information on sample identification (site name, context, species), chronological attribution, isotopic values (δ¹³C, δ¹⁵N), and associated metadata (e.g., period, references where available). Human data reflect diet and subsistence practices, while faunal and botanical data serve as ecological and isotopic baselines.

The database aims to facilitate comparative analyses of ancient diets, agricultural strategies, and regional variation in isotope values. It supports research in archaeology, bioarchaeology, palaeodietary reconstruction, and palaeoecology. It is associated with the article "Diet and health in Roman and Late Antique Italy: integrating isotopic and dental calculus evidence", from Gentile et al. [PCA 15 (2025) ISSN: 2039-7895 (pp. 29-54) DOI: 10.69106/pca2025.02].

 

Temporal coverage: ca. 1st century BCE – 7th century CEGeographic coverage: Italian Peninsula (multiple regions and sites)Data types: δ¹³C and δ¹⁵N values (‰, relative to VPDB and AIR standards, respectively)Subjects: Human, animal, and plant remainsFile format: CSV / XLSX

Recommended citation: Neves et al. (2025). Carbon and nitrogen isotope database from Roman and Late Antiquity Italy [Data set]. Zenodo. https://doi.org/10.5281/zenodo.16911599
DOI: 10.15468/dl.apgkvd
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.26999 50.66036,-3.27491 50.71785,-3.27629 50.72762,-3.29261 50.73518,-3.34817 50.72468,-3.36511 50.70351,-3.36511 50.70351,-3.35902 50.69483,-3.34714 50.67617,-3.36093 50.63916,-3.37174 50.62585,-3.38433 50.61981,-3.35775 50.62534,-3.34821 50.6213,-3.34946 50.61286,-3.28594 50.63206,-3.26999 50.66036))",
 "HasGeospatialIssue is false",
 "TaxonKey is Lutra lutra"
 ]
}

 The dataset includes 42 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068556-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18086793
title: Data of the manuscript "Long-time storage of entangled logical states in decoherence-free subspaces"
DOI: 10.5281/zenodo.18086794
title: Data of the manuscript "Long-time storage of entangled logical states in decoherence-free subspaces"
DOI: 10.13140/rg.2.2.35727.24484
title: 'Eppelbaum-Katz Chapter' in Almanah Ed. Efim Loevsky 08 2018.pdf
DOI: 10.13140/rg.2.2.34233.02405/1
title: New species of Geodia genus (Demospongiae: Tetractinellida) from the Sea of Okhotsk [conference presentation, in Russian]
DOI: 10.15468/dl.cvqzsw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_1_GID","value":"FIN.5_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068555-251120083545085/datasets/export for details.
DOI: 10.21227/8je3-9b68
title: "CMRxRecon2025-MMCMR_427K-group1"

description: "\u5fc3\u8840\u7ba1\u91cd\u5efa\u57fa\u7840\u6a21\u578b\u548c\u591a\u6a21\u6001\u6570\u636e\u5e93\u8bba\u6587\u5df2\u7ecf\u5728\u7ebf\uff1ahttps:\/\/doi.org\/10.48550\/arXiv.2512.21652\u4ee3\u7801\u4ed3\u5e93\uff08\u6301\u7eed\u5efa\u8bbe\u4e2d\uff09\uff1ahttps:\/\/github.com\/wangziblake\/CardioMM_MMCMR-427K"
DOI: 10.5281/zenodo.17288878
title: RIVA: An Image Dataset of Conventional Pap Smear Cytology with Multiple Independent Annotations

description: RIVA is a curated dataset focused on conventional Pap smear cytology, developed to support research in automated cervical cancer screening and diagnostic decision support. The dataset includes a total of 959 mini-patches (image crops) extracted from real cytological samples. Of these, 386 mini-patches were independently annotated by four expert cytologists, while the remaining 573 were annotated by a single expert. In total, the dataset contains 26,158 expert annotations, with 17,716 corresponding to the multi-expert subset and 8,442 to the single-expert subset. Across all images, 7,507 unique cells were identified within the subset annotated by all experts, and 15,949 unique cells were detected overall.

Annotations include lesion and cellular findings aligned with standard cytological categories, covering Squamous Cell Carcinoma (SCC), High-Grade Squamous Intraepithelial Lesion (HSIL), Atypical Squamous Cells—Cannot Exclude HSIL (ASC-H), Low-Grade Squamous Intraepithelial Lesion (LSIL), Atypical Squamous Cells of Undetermined Significance (ASC-US), inflammatory changes (INF), endocervical cells (ENDO), and Negative for Intraepithelial Lesion or Malignancy (NILM). These detailed labels enable research on diagnostic classification, inter-observer variability, lesion progression, and the development of supervised learning models in medical imaging.

This dataset was created as part of the project “Feasibility study for the development of a remote and real-time diagnosis system for fixed cervicovaginal cytological smears (PAPs) assisted by Artificial Intelligence (AI)”, funded by the Instituto de Efectividad Clínica y Sanitaria (IECS, Argentina) and the Centro de Inteligencia Artificial y Salud para América Latina y el Caribe (CLIAS), with support from the International Development Research Centre (IDRC, Canada) and the Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires (UBA). The project is a collaborative effort involving researchers and students from the Universidad de Buenos Aires, Universidad Torcuato Di Tella, and Instituto Tecnológico de Buenos Aires (ITBA), in partnership with medical professionals from Hospital Bernardino Rivadavia, Buenos Aires, Argentina.

RIVA serves as a valuable resource for advancing cytopathology research, improving diagnostic accuracy, benchmarking AI-assisted screening systems, and promoting the development of clinically relevant tools in global healthcare contexts.
DOI: 10.5281/zenodo.17288879
title: RIVA: An Image Dataset of Conventional Pap Smear Cytology with Multiple Independent Annotations

description: RIVA is a curated dataset focused on conventional Pap smear cytology, developed to support research in automated cervical cancer screening and diagnostic decision support. The dataset includes a total of 959 mini-patches (image crops) extracted from real cytological samples. Of these, 386 mini-patches were independently annotated by four expert cytologists, while the remaining 573 were annotated by a single expert. In total, the dataset contains 26,158 expert annotations, with 17,716 corresponding to the multi-expert subset and 8,442 to the single-expert subset. Across all images, 7,507 unique cells were identified within the subset annotated by all experts, and 15,949 unique cells were detected overall.

Annotations include lesion and cellular findings aligned with standard cytological categories, covering Squamous Cell Carcinoma (SCC), High-Grade Squamous Intraepithelial Lesion (HSIL), Atypical Squamous Cells—Cannot Exclude HSIL (ASC-H), Low-Grade Squamous Intraepithelial Lesion (LSIL), Atypical Squamous Cells of Undetermined Significance (ASC-US), inflammatory changes (INF), endocervical cells (ENDO), and Negative for Intraepithelial Lesion or Malignancy (NILM). These detailed labels enable research on diagnostic classification, inter-observer variability, lesion progression, and the development of supervised learning models in medical imaging.

This dataset was created as part of the project “Feasibility study for the development of a remote and real-time diagnosis system for fixed cervicovaginal cytological smears (PAPs) assisted by Artificial Intelligence (AI)”, funded by the Instituto de Efectividad Clínica y Sanitaria (IECS, Argentina) and the Centro de Inteligencia Artificial y Salud para América Latina y el Caribe (CLIAS), with support from the International Development Research Centre (IDRC, Canada) and the Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires (UBA). The project is a collaborative effort involving researchers and students from the Universidad de Buenos Aires, Universidad Torcuato Di Tella, and Instituto Tecnológico de Buenos Aires (ITBA), in partnership with medical professionals from Hospital Bernardino Rivadavia, Buenos Aires, Argentina.

RIVA serves as a valuable resource for advancing cytopathology research, improving diagnostic accuracy, benchmarking AI-assisted screening systems, and promoting the development of clinically relevant tools in global healthcare contexts.
DOI: 10.15468/dl.b3jp5t
title: Occurrence Download

description: A dataset containing 6951 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Material sample, Material citation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Araneus angulatus"
 ]
}

 The dataset includes 6951 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068559-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.aj1rfp3e
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (30 records)
DOI: 10.15468/dl.wckrdy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Corethrodendron fruticosum"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068562-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jcp.30716405
title: Data availability

description: The data that support the findings of this study are available within the article and its supplementary material. A ZIP archive contains the PGOPHER project files (.pgo) for both rovibronic and vibronic analyses, the photodissociation spectrum of N2O+, and a TXT file with the list of vibronic transitions used as input for the global fit in PGOPHER. These files enable full reproduction of the simulations and global fitting procedures presented in this work.
DOI: 10.60893/figshare.jcp.30716405.v1
title: Data availability

description: The data that support the findings of this study are available within the article and its supplementary material. A ZIP archive contains the PGOPHER project files (.pgo) for both rovibronic and vibronic analyses, the photodissociation spectrum of N2O+, and a TXT file with the list of vibronic transitions used as input for the global fit in PGOPHER. These files enable full reproduction of the simulations and global fitting procedures presented in this work.
DOI: 10.5281/zenodo.18086744
title: Supplementary Tables S1–S4 for "Taxonomy and Diversity of Woody Litter Microfungi Associated with Six Phylogenetically Related Host Species in Doi Tung National Park, Chiang Rai, Thailand"

description: These supplementary tables support the article accepted for publication in Mycosphere.
DOI: 10.25574/32066
title: Chandra X-ray Observatory ObsId 32066

description: Enabling Dark Energy Constraints from Optically Selected Galaxy Clusters
DOI: 10.5517/ccdc.csd.cc29w8q6
title: CCDC 2141378: Experimental Crystal Structure Determination

description: Related Article: F. Odame, T. Madanhire, E. Hosten, K. Lobb|2023|MoroccanJ.Chem.|11|579|doi:10.48317/IMIST.PRSM/morjchem-v11i3.40773
description: Related Article: Felix Odame, T. Madanhire, Eric C. Hosten, K. Lobb|2023|J.Struct.Chem.|64|2326|doi:10.1134/S0022476623120041
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29w8r7
title: CCDC 2141379: Experimental Crystal Structure Determination

description: Related Article: F. Odame, T. Madanhire, E. Hosten, K. Lobb|2023|MoroccanJ.Chem.|11|579|doi:10.48317/IMIST.PRSM/morjchem-v11i3.40773
description: Related Article: Felix Odame, T. Madanhire, Eric C. Hosten, K. Lobb|2023|J.Struct.Chem.|64|2326|doi:10.1134/S0022476623120041
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57745/xtensj
title: AGRIBALYSE® version 3.2

description: Ce jeu de données comporte toute la documentation associée à la version 3.2 de la base de données AGRIBALYSE®. Ce jeu de données est composé de documents indépendants et complémentaires : - Rapport méthodologique sur la production agricole (en version FR et EN); - Rapport méthodologique sur les produits alimentaires (en version FR et EN); - Rapport de changement entre cette version et la précédente (en version FR et EN). - Une note soja qui vise à clarifier et préciser les choix concernant la modélisation des impacts environnementaux des différents soja dans la base de données - Le tableur de résultats d'impacts pour les produits finis (produit consommable chez le consommateur) - Le tableur de résultats d'impacts pour les produits agricoles biologiques en sortie de ferme - Le tableur de résultats d'impacts pour les produits bruts conventionnels en sortie de ferme
DOI: 10.5517/ccdc.csd.cc29w8t9
title: CCDC 2141381: Experimental Crystal Structure Determination

description: Related Article: F. Odame, T. Madanhire, E. Hosten, K. Lobb|2023|MoroccanJ.Chem.|11|579|doi:10.48317/IMIST.PRSM/morjchem-v11i3.40773
description: Related Article: Felix Odame, Tatenda Madanhire, Clement Tettey, David Neglo, Francisca Adzaho, Daniel Sedohia, Eric C. Hosten|2023|Heteroatom Chemistry - Hindawi|2023|17|doi:10.1155/2023/3390122
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.17858134
title: Spillover of H5 influenza viruses to vampire bats at the marine-terrestrial interface

description: Data and code for the publication
DOI: 10.5281/zenodo.17858133
title: Spillover of H5 influenza viruses to vampire bats at the marine-terrestrial interface

description: Data and code for the publication
DOI: 10.57745/b5dtrr
title: AGRIBALYSE® versions 3.1 3.1.1

description: Ce jeu de données comporte toute la documentation associée aux versions 3.1 et 3.1.1 de la base de données AGRIBALYSE®. Ce jeu de données est composé de documents indépendants et complémentaires : - Rapport méthodologique sur la production agricole (versions FR et EN); - Rapport méthodologique sur les produits alimentaires (versions FR et EN); - Rapport de changement entre cette version et la précédente (versions FR et EN) 3.0.1 à 3.1.1. - Les tableurs de résultats dimpacts pour les produits finis (produit consommable chez le consommateur), pour les produits agricoles biologiques en sortie de ferme, pour les produits bruts conventionnels en sortie de ferme de la version AGRIBALYSE® 3.1 - Les tableurs de résultats dimpacts pour les produits finis (produit consommable chez le consommateur), pour les produits agricoles biologiques en sortie de ferme, pour les produits bruts conventionnels en sortie de ferme de la version AGRIBALYSE® 3.1.1 - Ecoalim version 8, volet nutrition animale de la base AGRIBALYSE®
DOI: 10.57745/afkkje
title: TARDE Tool for Assessing Refrigerant Direct Emissions for AGRIBALYSE®

description: Dans le cadre des travaux du GIS REVALIM et de la construction d'inventaires de cycle de vie pour AGRIBALYSE®, cet outil a pour objectif de permettre à un praticien ACV de renseigner les émissions directes d'une installation froid sans avoir collecter la donnée primaire. La proposition s'appuie sur le guide GESTIM'+
DOI: 10.15468/dl.mu34cr
title: Occurrence Download

description: A dataset containing 1280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.26401 5.61518,-72.30493 5.60477,-72.29793 5.57421,-72.31705 5.49789,-72.34473 5.50674,-72.39584 5.57046,-72.42007 5.5632,-72.4419 5.51904,-72.4896 5.48144,-72.50612 5.43911,-72.56907 5.4022,-72.57956 5.35547,-72.62453 5.34455,-72.70061 5.27772,-72.70089 5.24129,-72.7472 5.21897,-72.77401 5.1525,-72.84308 5.12877,-72.86713 5.08964,-72.84917 5.04542,-72.85709 5.03,-72.82532 4.98937,-72.82611 4.94988,-72.73542 4.9225,-72.73666 4.905,-72.6725 4.91292,-72.61329 4.86706,-72.50855 4.84453,-72.45828 4.86473,-72.43978 4.852,-72.4187 4.8607,-72.39903 4.83855,-72.38164 4.84581,-72.40229 4.88107,-72.44447 4.90894,-72.49037 4.99091,-72.46697 5.01228,-72.43727 4.97521,-72.40203 4.97949,-72.37954 5.00614,-72.33741 5.09168,-72.36663 5.20115,-72.34172 5.21336,-72.30675 5.19539,-72.28858 5.20524,-72.28215 5.19185,-72.28683 5.26107,-72.26418 5.24851,-72.24387 5.25791,-72.26549 5.28123,-72.22829 5.28696,-72.23772 5.30136,-72.21035 5.32267,-72.22577 5.33003,-72.2253 5.37232,-72.19011 5.36335,-72.22726 5.40906,-72.21827 5.45373,-72.23863 5.48774,-72.2174 5.52207,-72.25446 5.5467,-72.24548 5.57563,-72.26401 5.61518))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amazilia, Amazilia versicolor, Aramides cajaneus avicenniae, Ardea alba, Arremon assimilis, Arremon brunneinucha, Arremon taciturnus)",
 "Year 2019-2025"
 ]
}

 The dataset includes 1280 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068563-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9kxxp
title: Occurrence Download

description: A dataset listing the 18864 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Pl@ntNet observations",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 18864 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068557-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2jvcv
title: Occurrence Download

description: A dataset listing the 103098 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 103098 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068558-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2cvssx
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lemna minor",
 "Year 1970-2000"
 ]
}

 The dataset includes 48 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068564-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7h2jm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_1_GID","value":"FIN.3_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068561-251120083545085/datasets/export for details.
DOI: 10.15468/dl.w9u6ru
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Corethrodendron multijugum"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068565-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.