cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc111297428
title: Abibaal Inscription, KAI 5

description: [Text Description:] Dedication to Mistress of Byblos ❧ [Text or Publication Number Note:] KAI 5, Gibson 2, I.7 ❧ [Medium:] Stone ❧ [Script Note:] Phoenician ❧ [Physical Object Description:] Incomplete inscription on fragment of base of statue of Sheshonk ❧
DOI: 10.15468/dl.nmurjb
title: Occurrence Download

description: A dataset containing 1844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 {
 "or" : [
 "TaxonKey is Pelecanus erythrorhynchos Gmelin, 1789",
 "TaxonKey is Pelecanus erythrorhynchus (Gmelin, 1789)"
 ]
 }
 ]
}

 The dataset includes 1844 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031625-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111317817
title: Cuneiform Tablet 152

description: [Text Description:] Cuneiform Tablet 152 with Seal Impressions ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script
DOI: 10.25549/inscriptifact-ouc111317769
title: Cuneiform Tablet 152

description: [Text Description:] Cuneiform Tablet 152 with Seal Impressions ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script
DOI: 10.15468/dl.c3z6as
title: Occurrence Download

description: A dataset containing 23160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 {
 "or" : [
 "TaxonKey is Hedychium coronarium J.Koenig",
 "TaxonKey is Citrus L.",
 "TaxonKey is Citrus limon (L.) Burm.f.",
 "TaxonKey is Rubus ulmifolius Schott",
 "TaxonKey is Rubus rosifolius Sm.",
 "TaxonKey is Eriobotrya japonica (Thunb.) Lindl.",
 "TaxonKey is Hovenia dulcis Thunb.",
 "TaxonKey is Urochloa P.Beauv.",
 "TaxonKey is Urochloa maxima (Jacq.) R.D.Webster",
 "TaxonKey is Pennisetum purpureum Schumach.",
 "TaxonKey is Melinis repens (Willd.) Zizka",
 "TaxonKey is Melinis minutiflora P.Beauv.",
 "TaxonKey is Cynodon dactylon (L.) Pers.",
 "TaxonKey is Pittosporum undulatum Vent.",
 "TaxonKey is Pinus L.",
 "TaxonKey is Pinus elliottii Engelm.",
 "TaxonKey is Ligustrum L.",
 "TaxonKey is Ligustrum japonicum Thunb.",
 "TaxonKey is Syzygium cumini (L.) Skeels",
 "TaxonKey is Psidium guajava L.",
 "TaxonKey is Eucalyptus L'Hér.",
 "TaxonKey is Musa rosacea Jacq.",
 "TaxonKey is Morus nigra L.",
 "TaxonKey is Artocarpus heterophyllus Lam.",
 "TaxonKey is Melia azedarach L.",
 "TaxonKey is Magnolia champaca (L.) Baill. ex Pierre",
 "TaxonKey is Ulex europaeus L.",
 "TaxonKey is Mimosa caesalpiniifolia Benth.",
 "TaxonKey is Acacia podalyriifolia A.Cunn. ex G.Don",
 "TaxonKey is Acacia mearnsii De Wild.",
 "TaxonKey is Acacia longifolia (Andrews) Willd.",
 "TaxonKey is Aleurites moluccanus (L.) Willd.",
 "TaxonKey is Sechium edule (Jacq.) Sw.",
 "TaxonKey is Tradescantia zebrina Bosse",
 "TaxonKey is Terminalia catappa L.",
 "TaxonKey is Anotrichium yagii (Okamura) Baldock",
 "TaxonKey is Casuarina equisetifolia L.",
 "TaxonKey is Lonicera japonica Thunb.",
 "TaxonKey is Thunbergia grandiflora (Roxb. ex Rottler) Roxb.",
 "TaxonKey is Tecoma stans (L.) Juss. ex Kunth",
 "TaxonKey is Impatiens walleriana Hook.fil.",
 "TaxonKey is Tithonia diversifolia (Hemsl.) A.Gray",
 "TaxonKey is Bidens tinctoria (Nutt.) Baill.",
 "TaxonKey is Archontophoenix cunninghamiana (H.Wendl.) H.Wendl. & Drude",
 "TaxonKey is Schefflera actinophylla (Endl.) Harms",
 "TaxonKey is Schefflera arboricola (Hayata) Merr.",
 "TaxonKey is Furcraea foetida (L.) Haw."
 ]
 }
 ]
}

 The dataset includes 23160 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044710-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111299948
title: Sinai Syriac 30: Old Syriac Gospels, Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s, Syrus Sinaiticus

description: [Text Description:] One of two copies of the old Syriac translation pre-dating the standard Syriac version. Includes a nearly complete text of Matthew, Mark, Luke and John. ❧ [Text or Publication Number Note:] Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s ❧ [Medium:] Parchment ❧ [Script Note:] Syriac: Estrangela ❧ [Physical Object Description:] Palimpsest, with overtext written in Syriac, undertext in Syriac or Greek. Ink on overtext is black, ink on undertext has oxidized to faded brown. ❧ [Physical Object Note:] Many of the pages show some water damage. ❧ [Physical Object Note:] Back cover is still extant, shows evidence of roughly stitched repair. ❧
DOI: 10.15468/dl.phwemw
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Girardinus creolus Garman, 1895",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052903-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111300021
title: Sinai Syriac 30: Old Syriac Gospels, Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s, Syrus Sinaiticus

description: [Text Description:] One of two copies of the old Syriac translation pre-dating the standard Syriac version. Includes a nearly complete text of Matthew, Mark, Luke and John. ❧ [Text or Publication Number Note:] Sinai Syriac 30: Old Sinai Syriac Gospels; Syr s ❧ [Medium:] Parchment ❧ [Script Note:] Syriac: Estrangela ❧ [Physical Object Description:] Palimpsest, with overtext written in Syriac, undertext in Syriac or Greek. Ink on overtext is black, ink on undertext has oxidized to faded brown. ❧ [Physical Object Note:] Many of the pages show some water damage. ❧ [Physical Object Note:] Back cover is still extant, shows evidence of roughly stitched repair. ❧
DOI: 10.15468/dl.rxw2ku
title: Occurrence Download

description: A dataset containing 3986086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Numenius minutus Gould, 1841, Numenius madagascariensis (Linnaeus, 1766), Numenius arquata (Linnaeus, 1758), Calidris tenuirostris (Horsfield, 1821), Calidris falcinellus (Pontoppidan, 1763), Calidris acuminata (Horsfield, 1821), Calidris pygmaea (Linnaeus, 1758), Calidris bairdii (Coues, 1861), Limnodromus semipalmatus (Blyth, 1848), Tringa guttifer (Nordmann, 1835), Platalea leucorodia Linnaeus, 1758, Platalea minor Temminck & Schlegel, 1849)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3986086 records from 1561 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063592-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive106882.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106883.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0098705.10fu
title: SH0098705.10FU

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: 10.6084/m9.figshare.30836888
title: A human-supervised large language model for clinical decision support aligned to national newborn protocols in Kenya: A pragmatic, early-stage evaluation

description: This repository contains the datasets generated during the development and evaluation of AIFYA, a human-supervised, large language model (LLM)–based clinical decision support system (CDSS) specifically aligned with the Kenya Consolidated Newborn Clinical Protocols.The repository comprises the following three distinct datasets:Newborn Clinical Scenario Dataset: De-identified clinical parameters and management inputs corresponding to newborn patient encounters that were processed by the AIFYA platform for clinical decision support recommendations. Provides the input context for evaluating the AI system's performance.Expert Neonatal Review and Concordance Dataset: Contains the consensus ratings and detailed qualitative comments provided by independent experts in neonatal care. This dataset quantifies the inter-rater reliability and the final adjudicated agreement/concordance scores for AIFYA's recommendations against national guidelines. Supports the primary outcome analysis regarding guideline adherence and recommendation correctness.Clinician Knowledge, Attitudes, and Practices (KAP) Survey Response Data: Anonymised response data collected from the post-implementation survey administered to healthcare workers (HCWs) regarding their perceptions of AIFYA's usability, workflow integration, and the acceptance of AI in their clinical practice. Supports the secondary outcome analysis on user perception and system implementation factors.AI master prompt templates documenting context-controlled, guideline-aligned neonatal clinical decision support used in the AIFYA platform.<br>
DOI: 10.6084/m9.figshare.30836888.v3
title: A human-supervised large language model for clinical decision support aligned to national newborn protocols in Kenya: A pragmatic, early-stage evaluation

description: This repository contains the datasets generated during the development and evaluation of AIFYA, a human-supervised, large language model (LLM)–based clinical decision support system (CDSS) specifically aligned with the Kenya Consolidated Newborn Clinical Protocols.The repository comprises the following three distinct datasets:Newborn Clinical Scenario Dataset: De-identified clinical parameters and management inputs corresponding to newborn patient encounters that were processed by the AIFYA platform for clinical decision support recommendations. Provides the input context for evaluating the AI system's performance.Expert Neonatal Review and Concordance Dataset: Contains the consensus ratings and detailed qualitative comments provided by independent experts in neonatal care. This dataset quantifies the inter-rater reliability and the final adjudicated agreement/concordance scores for AIFYA's recommendations against national guidelines. Supports the primary outcome analysis regarding guideline adherence and recommendation correctness.Clinician Knowledge, Attitudes, and Practices (KAP) Survey Response Data: Anonymised response data collected from the post-implementation survey administered to healthcare workers (HCWs) regarding their perceptions of AIFYA's usability, workflow integration, and the acceptance of AI in their clinical practice. Supports the secondary outcome analysis on user perception and system implementation factors.AI master prompt templates documenting context-controlled, guideline-aligned neonatal clinical decision support used in the AIFYA platform.<br>
DOI: 10.13145/bacdive106883.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106884.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0098706.10fu
title: SH0098706.10FU

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: 10.6084/m9.figshare.30836888.v2
title: A human-supervised large language model for clinical decision support aligned to national newborn protocols in Kenya: A pragmatic, early-stage evaluation

description: This repository contains the datasets generated during the development and evaluation of AIFYA, a human-supervised, large language model (LLM)–based clinical decision support system (CDSS) specifically aligned with the Kenya Consolidated Newborn Clinical Protocols.The repository comprises the following three distinct datasets:Newborn Clinical Scenario Dataset: De-identified clinical parameters and management inputs corresponding to newborn patient encounters that were processed by the AIFYA platform for clinical decision support recommendations. Provides the input context for evaluating the AI system's performance.Expert Neonatal Review and Concordance Dataset: Contains the consensus ratings and detailed qualitative comments provided by independent experts in neonatal care. This dataset quantifies the inter-rater reliability and the final adjudicated agreement/concordance scores for AIFYA's recommendations against national guidelines. Supports the primary outcome analysis regarding guideline adherence and recommendation correctness.Clinician Knowledge, Attitudes, and Practices (KAP) Survey Response Data: Anonymised response data collected from the post-implementation survey administered to healthcare workers (HCWs) regarding their perceptions of AIFYA's usability, workflow integration, and the acceptance of AI in their clinical practice. Supports the secondary outcome analysis on user perception and system implementation factors.
DOI: 10.13145/bacdive106884.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106885.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0098707.10fu
title: SH0098707.10FU

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: 10.5517/ccdc.csd.cc2qm19q
title: CCDC 2520743: Experimental Crystal Structure Determination

description: Related Article: Chen maizhuo|2026|CSD Communication|||
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: 10.13145/bacdive106885.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0098708.10fu
title: SH0098708.10FU

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: 10.5517/ccdc.csd.cc2qlydp
title: CCDC 2520653: Experimental Crystal Structure Determination

description: Related Article: Oybek Abdullajanov|2026|CSD Communication|||
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: 10.13145/bacdive106886.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106886.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0098709.10fu
title: SH0098709.10FU

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: 10.5517/ccdc.csd.cc2qlykv
title: CCDC 2520658: Experimental Crystal Structure Determination

description: Related Article: Peng Ji|2026|CSD Communication|||
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: 10.13145/bacdive106887.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106887.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0098710.10fu
title: SH0098710.10FU

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: 10.5517/ccdc.csd.cc2qlyv4
title: CCDC 2520667: Experimental Crystal Structure Determination

description: Related Article: Wenying Zhao|2026|CSD Communication|||
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: 10.13145/bacdive106888.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.