cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive133944.20251217.10
title: Sphingomicrobium astaxanthinifaciens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133945.20250331.9.3
title: Pseudomonas guguanensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0123472.10fu
title: SH0123472.10FU

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: 10.13145/bacdive133945.20251217.10
title: Pseudomonas guguanensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0123473.10fu
title: SH0123473.10FU

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: 10.13145/bacdive133946.20251217.10
title: Methylobacterium trifolii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0123474.10fu
title: SH0123474.10FU

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/sh0123475.10fu
title: SH0123475.10FU

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: 10.15468/dl.yz5ajg
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeo fimbriatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 58 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078322-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0123476.10fu
title: SH0123476.10FU

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/sh0123477.10fu
title: SH0123477.10FU

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/sh0123478.10fu
title: SH0123478.10FU

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: 10.13145/bacdive133947.20251217.10
title: Methylobacterium thuringiense

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0123479.10fu
title: SH0123479.10FU

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.30306376.v1
title: LITERATURE REVIEW

description: Inclusive students with Specific Learning Disorder (SLD) in primary schools often face difficulties in mastering literacy skills due to limited adaptive learning methods. One potential approach is the use of an AI game-based deep learning model that adapts to students’ individual needs. This study aims to: (1) examine the urgency of implementing AI game-based deep learning models for inclusive students with SLD, (2) identify their potential in improving literacy skills, and (3) explore their relevance in primary school contexts. A descriptive qualitative approach with a case study design in Indonesia was employed, using data from document reviews, scientific articles, and related research, analyzed through qualitative content analysis. The novelty of this study lies in presenting AI game-based deep learning not only as a technological tool but also as a context-sensitive model that enables personalized literacy learning for inclusive students, an area that has been rarely addressed in previous studies. The findings indicate that the implementation of AI game-based deep learning models is important to address literacy barriers faced by students with SLD, supports the personalization of learning aligned with their characteristics, and demonstrates potential effectiveness in primary school inclusive classrooms.
DOI: 10.5281/zenodo.16733439
title: Proteome Landscapes Decode Organelle Vulnerabilities in cortical and dopaminergic-like induced neurons Across Lysosomal Storage Disorders

description: Lysosomes maintain cellular homeostasis by degrading proteins delivered via endocytosis and autophagy and recycling building blocks for organelle biogenesis. Lysosomal Storage Disorders (LSDs) comprise a broad group of diseases affecting lysosomal degradation, ion flux, and lipid catabolism. Within this group, sphingolipidoses gene products involved in glycosphingolipid breakdown are known (GBA1) or candidate (SMPD1, ASAH1) risk factors for Parkinson’s Disease, though disease mechanisms remain unclear. Using our previously reported LSD mutant proteomic landscape in HeLa cells, we observed pronounced variability in endolysosomal proteome signatures among sphingolipid pathway mutants, with ASAH1-/- cells showing altered lysosomal lipid composition, impaired endocytic trafficking, and disrupted ultrastructure by cryo-electron tomography. To extend these findings in a more physiologic context, we generated a human embryonic stem (ES) cell library lacking 23 LSD genes and profiled proteomic changes during differentiation into cortical and midbrain dopaminergic neurons. LSD mutants exhibited lineage-specific alterations in organellar proteomes, revealing diverse vulnerabilities. Notably, GBA1-/- and ASAH1-/- dopaminergic neurons showed disruptions in synaptic and mitochondrial compartments, correlating with impaired dopaminergic neuronal firing and mislocalized presynaptic proteins. This LSD mutant toolkit and associated proteomic landscape provides a resource for defining molecular signatures of LSD gene loss and highlights convergence of lysosomal dysfunction, synaptic integrity, and mitochondrial health as potential links between sphingolipidoses and PD risk.
DOI: 10.5281/zenodo.16733440
title: Proteome Landscapes Decode Organelle Vulnerabilities in cortical and dopaminergic-like induced neurons Across Lysosomal Storage Disorders

description: Lysosomes maintain cellular homeostasis by degrading proteins delivered via endocytosis and autophagy and recycling building blocks for organelle biogenesis. Lysosomal Storage Disorders (LSDs) comprise a broad group of diseases affecting lysosomal degradation, ion flux, and lipid catabolism. Within this group, sphingolipidoses gene products involved in glycosphingolipid breakdown are known (GBA1) or candidate (SMPD1, ASAH1) risk factors for Parkinson’s Disease, though disease mechanisms remain unclear. Using our previously reported LSD mutant proteomic landscape in HeLa cells, we observed pronounced variability in endolysosomal proteome signatures among sphingolipid pathway mutants, with ASAH1-/- cells showing altered lysosomal lipid composition, impaired endocytic trafficking, and disrupted ultrastructure by cryo-electron tomography. To extend these findings in a more physiologic context, we generated a human embryonic stem (ES) cell library lacking 23 LSD genes and profiled proteomic changes during differentiation into cortical and midbrain dopaminergic neurons. LSD mutants exhibited lineage-specific alterations in organellar proteomes, revealing diverse vulnerabilities. Notably, GBA1-/- and ASAH1-/- dopaminergic neurons showed disruptions in synaptic and mitochondrial compartments, correlating with impaired dopaminergic neuronal firing and mislocalized presynaptic proteins. This LSD mutant toolkit and associated proteomic landscape provides a resource for defining molecular signatures of LSD gene loss and highlights convergence of lysosomal dysfunction, synaptic integrity, and mitochondrial health as potential links between sphingolipidoses and PD risk.
DOI: 10.6084/m9.figshare.30306376
title: LITERATURE REVIEW

description: Inclusive students with Specific Learning Disorder (SLD) in primary schools often face difficulties in mastering literacy skills due to limited adaptive learning methods. One potential approach is the use of an AI game-based deep learning model that adapts to students’ individual needs. This study aims to: (1) examine the urgency of implementing AI game-based deep learning models for inclusive students with SLD, (2) identify their potential in improving literacy skills, and (3) explore their relevance in primary school contexts. A descriptive qualitative approach with a case study design in Indonesia was employed, using data from document reviews, scientific articles, and related research, analyzed through qualitative content analysis. The novelty of this study lies in presenting AI game-based deep learning not only as a technological tool but also as a context-sensitive model that enables personalized literacy learning for inclusive students, an area that has been rarely addressed in previous studies. The findings indicate that the implementation of AI game-based deep learning models is important to address literacy barriers faced by students with SLD, supports the personalization of learning aligned with their characteristics, and demonstrates potential effectiveness in primary school inclusive classrooms.
DOI: 10.25549/inscriptifact-ouc111305961
title: Monastery of St. John Lampadistis, Ayios Ioannis Lambadhistis Monastery

description: [Text Description:] Complex of 3 churches under one Roof, 11th-18th c. ❧ [Medium:] Stone ❧ [Script Note:] Greek, Non-Text ❧ [Physical Object Description:] Located on east side of stream Setrachos, running along east side of village of Kaopanayiotes. The monastery is a complex of three churches sharing a single pitched roof. Beyond the monastic enclosure is the old schoolhouse, now an icon museum. ❧ [Physical Object Note:] The three churches are: Agios Herakleidios, Ioannis Lampadistis and a Latin Chapel. Agios Herakleidios, built in the 11th c., decorated primarily in 13th c., is a cross-in-square building with four piers supporting a central dome. Ioannis Lamadistis probably built in 1731, on the north side of Herakleidios. No records exist regarding the Latin Chapel. It opens on the north side of the Lampdistis church. A narthex runs along the west side of Herakleidios and Lampadistis. ❧ [Physical Object Note:] In Agios Herakleidios, a few early paintings date to the 12th c. Most of the paintings are 13th c., with a late period series done around 1400. Ioannis Lampadistis contains a reliquary and icon of St. Ioannis (John) Lampadistis. The paintings in the Latin Chapel are Italo-Byzantine; the vaulting is Italianate. The walls north and south are illustrations of the 24 stanzas of the Akathistos Hymn to the Virgin. Some paintings are more Byzantine, others more Italian. ❧
DOI: 10.15468/dl.b8b5fk
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Telatrygon zugei (Müller & Henle, 1841)"
 ]
}

 The dataset includes 217 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029119-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111305965
title: Monastery of St. John Lampadistis, Ayios Ioannis Lambadhistis Monastery

description: [Text Description:] Complex of 3 churches under one Roof, 11th-18th c. ❧ [Medium:] Stone ❧ [Script Note:] Greek, Non-Text ❧ [Physical Object Description:] Located on east side of stream Setrachos, running along east side of village of Kaopanayiotes. The monastery is a complex of three churches sharing a single pitched roof. Beyond the monastic enclosure is the old schoolhouse, now an icon museum. ❧ [Physical Object Note:] The three churches are: Agios Herakleidios, Ioannis Lampadistis and a Latin Chapel. Agios Herakleidios, built in the 11th c., decorated primarily in 13th c., is a cross-in-square building with four piers supporting a central dome. Ioannis Lamadistis probably built in 1731, on the north side of Herakleidios. No records exist regarding the Latin Chapel. It opens on the north side of the Lampdistis church. A narthex runs along the west side of Herakleidios and Lampadistis. ❧ [Physical Object Note:] In Agios Herakleidios, a few early paintings date to the 12th c. Most of the paintings are 13th c., with a late period series done around 1400. Ioannis Lampadistis contains a reliquary and icon of St. Ioannis (John) Lampadistis. The paintings in the Latin Chapel are Italo-Byzantine; the vaulting is Italianate. The walls north and south are illustrations of the 24 stanzas of the Akathistos Hymn to the Virgin. Some paintings are more Byzantine, others more Italian. ❧
DOI: 10.15468/dl.55vxbb
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriophyes inangulis Nalepa, 1919"
 ]
}

 The dataset includes 581 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055963-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.be99zk
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypodaphnis zenkeri (Engl.) Stapf"
 ]
}

 The dataset includes 277 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010324-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.56paeb
title: Occurrence Download

description: A dataset containing 366631 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abramis brama (Linnaeus, 1758)"
 ]
}

 The dataset includes 366631 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037890-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111305958
title: Monastery of St. John Lampadistis, Ayios Ioannis Lambadhistis Monastery

description: [Text Description:] Complex of 3 churches under one Roof, 11th-18th c. ❧ [Medium:] Stone ❧ [Script Note:] Greek, Non-Text ❧ [Physical Object Description:] Located on east side of stream Setrachos, running along east side of village of Kaopanayiotes. The monastery is a complex of three churches sharing a single pitched roof. Beyond the monastic enclosure is the old schoolhouse, now an icon museum. ❧ [Physical Object Note:] The three churches are: Agios Herakleidios, Ioannis Lampadistis and a Latin Chapel. Agios Herakleidios, built in the 11th c., decorated primarily in 13th c., is a cross-in-square building with four piers supporting a central dome. Ioannis Lamadistis probably built in 1731, on the north side of Herakleidios. No records exist regarding the Latin Chapel. It opens on the north side of the Lampdistis church. A narthex runs along the west side of Herakleidios and Lampadistis. ❧ [Physical Object Note:] In Agios Herakleidios, a few early paintings date to the 12th c. Most of the paintings are 13th c., with a late period series done around 1400. Ioannis Lampadistis contains a reliquary and icon of St. Ioannis (John) Lampadistis. The paintings in the Latin Chapel are Italo-Byzantine; the vaulting is Italianate. The walls north and south are illustrations of the 24 stanzas of the Akathistos Hymn to the Virgin. Some paintings are more Byzantine, others more Italian. ❧