cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0191551.10fu
title: SH0191551.10FU

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/sh0191552.10fu
title: SH0191552.10FU

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/sh0191553.10fu
title: SH0191553.10FU

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.cc2p7lcx
title: CCDC 2479949: Experimental Crystal Structure Determination

description: Related Article: Markabandhu Shanthi, Vijayakumar Hemamalini, Karuppaiah Perumal, Bhaskaran Shankar, Subburethinam Ramesh|2026|J.Photochem.Photobiol.A:Chem.|474||doi:10.1016/j.jphotochem.2025.116979
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: 10.15156/bio/sh0191554.10fu
title: SH0191554.10FU

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.cc2p8101
title: CCDC 2480372: Experimental Crystal Structure Determination

description: Related Article: Jia-Qi Chen, Peng Wang, Kai-Yang Zhang, Yue Zhao, Wei-Yin Sun|2025|J.Mater.Chem.A|13|42178|doi:10.1039/d5ta07479g
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: 10.15156/bio/sh0191555.10fu
title: SH0191555.10FU

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.cc2p9k3p
title: CCDC 2481832: Experimental Crystal Structure Determination

description: Related Article: Shravani Battula, Sowmya B. Udayakumar, Nidhi Sharma, Sai Balaji Andugulapati, Kiranmai Nayani|2025|ChemMedChem|20|e202500726|doi:10.1002/cmdc.202500726
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: 10.15156/bio/sh0191556.10fu
title: SH0191556.10FU

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.cc2pbpqg
title: CCDC 2482936: Experimental Crystal Structure Determination

description: Related Article: Alexandra E. Kopotilova, Julia V. Permyakova, Ekaterina S. Starnovskaya, Tatyana N. Moshkina, Alexander S. Novikov, Pavel A. Slepukhin, Emiliya V. Nosova
|2025|Molecules|30|4420|doi:10.3390/molecules30224420
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.cc2pcfk2
title: CCDC 2483644: Experimental Crystal Structure Determination

description: Related Article: Yong-Xing Tang, Jun Ma, Li-Sheng Wang, Yu-Man Song, Chun-Yan Wu, Yan-Dong Wu, Jia-Chen Xiang, An-Xin Wu|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04423
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: 10.15156/bio/sh0191557.10fu
title: SH0191557.10FU

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/sh0191558.10fu
title: SH0191558.10FU

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/sh0191559.10fu
title: SH0191559.10FU

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/sh0191560.10fu
title: SH0191560.10FU

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.26579477
title: Additional file 1 of Genomic diversity of aquaporins across genus Oryza provides a rich genetic resource for development of climate resilient rice cultivars

description: Additional file 1: Table S1. Detailed information of aquaporin-encoding genes in Oryza genomes. Table S2. Confirmation of MIP domain in Oryza aquaporins through NCBI-CDD. Table S3. Paralogous and orthologous aquaporins among Oryza genomes. Table S4. Aquaporins copy number variation among four important indica genomes. Table S5. Detailed information on the identified motifs in aquaporins of all Oryza genomes. Table S6. Details of duplication and evolution analyses. Table S7. Summary of promoter analysis. Table S8. Detailed results of miRNA target site prediction analysis. Table S9. Brief summary of aquaporin haplotypes significantly associated with thousand-grain weight in japonica rice.
DOI: 10.5281/zenodo.13312234
title: Exercícios de programação introdutória (dados da publicação)

description: Dados da publicação: Avaliando resoluções de exercícios introdutórios de programação na era das IAs Generativas: Um Estudo de Caso com o ChatGPT
DOI: 10.5281/zenodo.13312235
title: Exercícios de programação introdutória (dados da publicação)

description: Dados da publicação: Avaliando resoluções de exercícios introdutórios de programação na era das IAs Generativas: Um Estudo de Caso com o ChatGPT
DOI: 10.5281/zenodo.12722471
title: MOOD_Consensus_Landuse_Earthenv_1k_ER

description: Earthenv consensus land use. 

Abstract: The Earthenv (www.earthenv.org) consensus land cover layers are a combination of a number of public domain land cover datasets, which are considered to be more representative than any of the component datasets. 12 land cover types are provided as proportions, each of which has been extracted for the MOOD extent.

File naming scheme:

The filenames are given in accompanying file earthenvnames.txt

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent    -24.0000000000000000,-38.5000000000000000 : 110.9999999999999432,86.9999999999999432

Spatial resolution:0.008333 deg (approx. 1000 m)

Accuracy:

Based on World Geodetic System 1984 ensemble (EPSG:6326), which has a limited accuracy of at best 2 meters.

 

Source:

 Earthenv (www.earthenv.org) consensus land cover layers

Software used:ESRI ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD Project
DOI: 10.5281/zenodo.12722472
title: MOOD_Consensus_Landuse_Earthenv_1k_ER

description: Earthenv consensus land use. 

Abstract: The Earthenv (www.earthenv.org) consensus land cover layers are a combination of a number of public domain land cover datasets, which are considered to be more representative than any of the component datasets. 12 land cover types are provided as proportions, each of which has been extracted for the MOOD extent.

File naming scheme:

The filenames are given in accompanying file earthenvnames.txt

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent    -24.0000000000000000,-38.5000000000000000 : 110.9999999999999432,86.9999999999999432

Spatial resolution:0.008333 deg (approx. 1000 m)

Accuracy:

Based on World Geodetic System 1984 ensemble (EPSG:6326), which has a limited accuracy of at best 2 meters.

 

Source:

 Earthenv (www.earthenv.org) consensus land cover layers

Software used:ESRI ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD Project
DOI: 10.25345/c5rb6wd44
title: MassIVE MSV000095614 - Analysis of phosphoprotein signaling pathway activation in wt Klotho and N614Q klotho after the induction with FGF23 and comparison with untreated HEK293T cells
title: Klotho, an anti-aging protein, significantly decreases life span when deleted in mice, whereas its over-expression extends life span. Klotho is N-glycosylated at eight sites in its ectodomain. This study demonstrates that N-glycosylation at position N614, but not at N161, N285, or N346, is essential for Klotho's transport out of the ER in mice. Protein interactome analysis of the N614Q mutant showed increased interactions with proteasome-related proteins and those involved in ER protein processing, suggesting impaired folding. Phosphoproteomics and ERK activity assessment studies revealed that despite its reduced plasma membrane presence, the N614Q mutant effectively induced Erk activation in the presence of FGF23, highlighting its capability to activate downstream signaling pathways even in limited quantities.
DOI: 10.15468/dl.ac8yju
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.281916 -33.117084, 148.281916 -33.11933, 148.284161 -33.11933, 148.284161 -33.117084, 148.281916 -33.117084))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068313-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26579504
title: Additional file 1 of High fat diet and PCSK9 knockout modulates lipid profile of the liver and changes the expression of lipid homeostasis related genes

description: Additional file 1: “High fat diet and PCSK9 knockout modulates lipid profile of the liver and changes the expression of lipid homeostasis related genes”. Protein, TG, DG and CER concentrations of liver pieces.
DOI: 10.6084/m9.figshare.26579486
title: Additional file 2 of Distinct cervical tissue-adherent and luminal microbiome communities correlate with mucosal host gene expression and protein levels in Kenyan sex workers

description: Additional file 2: Supplementary Table 1. Total relative abundance, alpha diversity,definition of bacterial communities in the samples, positive controls and ASV count tables luminal and tissue. Supplementary Table 2. Sociodemographic and clinical characteristics per study participant. Supplementary Table 3. Metabolic profile of the luminal microbiome. Supplementary Table 4. Sociodemographic and clinical characteristics of study participants included in the transcriptomic profiling at time of tissue sample collection, grouped based on their tissue microbiome. Supplementary Table 5. Differentially expressed genes between the luminal study groups. Supplementary Table 6. Pathway enrichment analysis for the differentially expressed genes across the luminal samples. Supplementary Table 7. Pathway enrichment analysis for the differentially expressed genes by pairwise comparisons between the luminal samples. Supplementary Table 8. Transcription factor protein-protein interaction (TF-PPI) network analysis by pairwise comparisons between the luminal samples. Supplementary Table 9. Differentially expressed genes between the tissue study groups. Supplementary Table 10. Pathway enrichment analysis for the differentially expressed genes across the tissue samples. Supplementary Table 11. Pathway enrichment analysis for the differentially expressed genes by pairwise comparisons between the tissue samples. Supplementary Table 12. Transcription factor protein-protein interaction (TF-PPI) network analysis by pairwise comparisons between the tissue samples. Supplementary Table 13. Differentially expressed genes and pathway enrichment analysis for the comparison of sample groups defined as L2T2 and L2T3. Supplementary Table 14. Characterization of proteins and antibodies included in the protein profiling assay, cytokine data and cytokine results. Supplementary Table 15. Sociodemographic and clinical characteristics of study participants included in the protein profiling at time of luminal sample collection. Supplementary Table 16. Comparisons of protein levels between the luminal study groups. Supplementary Table 17. Comparisons of protein levels between the tissue study groups.
DOI: 10.15468/dl.ahe5bs
title: Occurrence Download

description: A dataset containing 986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron concinnum Hemsl."
 ]
}

 The dataset includes 986 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068315-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.