cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0193466.10fu
title: SH0193466.10FU

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/sh0193467.10fu
title: SH0193467.10FU

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/sh0193468.10fu
title: SH0193468.10FU

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/sh0193469.10fu
title: SH0193469.10FU

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/sh0193470.10fu
title: SH0193470.10FU

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.d8w5ep
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((79.784001 18.04212, 79.710131 18.036544, 79.638093 18.019955, 79.56967299999999 17.992765, 79.50656600000001 17.955647, 79.450332 17.909522, 79.40235800000001 17.855531, 79.363822 17.79501, 79.335666 17.729454, 79.318575 17.660484, 79.312957 17.589799, 79.31893599999999 17.519141, 79.336354 17.450249, 79.364768 17.384815, 79.403471 17.324448, 79.451503 17.270627, 79.50767999999999 17.224671, 79.57062000000001 17.187707, 79.63878099999999 17.160639, 79.710493 17.144128, 79.784001 17.13858, 79.85751 17.144128, 79.929222 17.160639, 79.997383 17.187707, 80.060323 17.224671, 80.1165 17.270627, 80.16453199999999 17.324448, 80.20323399999999 17.384815, 80.231649 17.450249, 80.249066 17.519141, 80.25504599999999 17.589799, 80.24942799999999 17.660484, 80.232337 17.729454, 80.20418100000001 17.79501, 80.165645 17.855531, 80.11767 17.909522, 80.061436 17.955647, 79.99833 17.992765, 79.92991000000001 18.019955, 79.857872 18.036544, 79.784001 18.04212))"},{"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/0002020-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0193471.10fu
title: SH0193471.10FU

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/sh0193472.10fu
title: SH0193472.10FU

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/sh0193473.10fu
title: SH0193473.10FU

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/sh0193474.10fu
title: SH0193474.10FU

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.30247477
title: Ethical leadership in public university

description: Using survey data from 277 faculty members analyzed with partial least squares structural equation modeling, this study finds that ethical leadership significantly enhances job performance, primarily by instilling a stronger sense of meaningful work.
DOI: 10.6084/m9.figshare.30247477.v1
title: Ethical leadership in public university

description: Using survey data from 277 faculty members analyzed with partial least squares structural equation modeling, this study finds that ethical leadership significantly enhances job performance, primarily by instilling a stronger sense of meaningful work.
DOI: 10.15468/dl.6gghd7
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melinis repens",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033769-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adxcm3
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (2a7e3080-28a9-11dd-97cd-b8a03c50a862, ab13adb9-ce23-444d-87c9-ce41f03ef2b3, d5ef14a1-5177-4547-9ce2-46d84a4214eb, c3da1f49-b2c8-4751-b72f-28855546ec4c, 69cbe3e1-ea7a-4f22-b4b8-47dd4df6e79b, 256035fe-75ff-4a7c-94bc-86af590c9050, eac88d99-9f6c-4031-8fc4-8088f0e0dfe7, b6d09100-919d-4026-b35b-22be3dae7156, b4640710-8e03-11d8-b956-b8a03c50a862)",
 "TaxonKey is Urbanus tanna"
 ]
}

 The dataset includes 174 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033768-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wn8c4
title: Occurrence Download

description: A dataset containing 2437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melinis repens",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2437 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033770-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nkvseg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melinis repens",
 "Country is Saint Kitts and Nevis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033772-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwe878
title: Occurrence Download

description: A dataset containing 21232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasioglossum albipes",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 21232 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033767-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27887097.v2
title: GNN_EVAL Training Dataset

description: We provide the training dataset for GNN_EVAL, the model to prescreen the materials generated by SCIGEN.
DOI: 10.26300/0zx9-3e94
title: LTC Data Cooperative
DOI: 10.25345/c5gt5fv0m
title: MassIVE MSV000099338 - Protein-protein interactions of PMP22
title: Peripheral Myelin Protein 22 (PMP22) is a tetraspan membrane protein whose altered dosage causes the most common hereditary neuropathy, Charcot-Marie-Tooth disease type 1A (CMT1A). Despite its clinical significance, the physiological functions of PMP22 and the mechanism behind its tightly controlled gene dosage sensitivity remain unknown since over 30 years, in part due to limited knowledge of its protein-protein interactions (PPIs). In fact, integral membrane proteins such as PMP22 are significantly underrepresented in known cellular interactomes, likely due to limited suitability or technical challenges specific to these hydrophobic molecules in the major PPI discovery approaches. Here, we applied a rigorously optimized co-immunoprecipitation and mass spectrometry workflow using the mild detergent DDM and the high affinity ALFA-tag/anti-ALFA nanobody interaction to identify physiologically PMP22-associated proteins. In a cross-context approach, we ran our standardized pipeline across multiple cell types including HEK293T, MDCKII epithelial cells, the Schwann cell line MSC80, and primary rat Schwann cells. We confirm known interactors, and functional annotation analysis revealed cell-type specific enrichment patterns, with adhesion-related PPIs predominating in MDCKII cells (e.g., CD47, CLDN1, ATP1B1) and myelin-associated proteins enriched in Schwann cells. Importantly, we identified novel PPI candidates that may be highly relevant for PMP22 function including enzymes of the de novo sphingolipid biosynthesis pathway.
DOI: 10.6069/fj5c-7525
title: Proteogenomic study of high-grade glioma among adolescents and young adults

description: To unravel the molecular mechanisms underlying high-grade glioma (HGG) in adolescent and young adult (AYA) patients, we conducted acomprehensive proteogenomic analysis for 34 AYA (age 15-40) and 59 pediatric (age 0-15) HGG cases. Our approach involved whole genomesequencing, methylation profiling, RNA sequencing, and a suite of mass spectrometry-based proteomic experiments, including global proteomic,phosphoproteomic, and glycoproteomic profiling. The proteomics study successfully identified and quantified approximately 11,000 proteins, 33,000phosphosites, and 3000 glycopeptides with a 50% missing filtering threshold. To identify the unique characteristics of AYA HGG in contrast to bothpediatric and adult HGG, we further integrated a proteogenomic dataset of 99 adult GBM tumors previously published by CPTAC and collaborators(PMID: 33577785).
Our study unveiled a collection of mutations, copy number variations, epigenetic modifications and gene fusions that exhibited different frequenciesacross tumors from pediatric, AYA, and adult patients. Moreover, the influence of these genetic variations on RNA/protein activities also varied acrossdifferent age groups. Clustering analysis using age-dependent molecular profiles revealed striking differences in RNA/protein/phosphosite activitiesbetween patients aged 15-26 and 26-40. Additionally, significantly better overall survival (OS) was observed in the 26-40 age group compared to allother age groups, highlighting distinct biological characteristics within the AYA category that differentiate adolescents from young adults.Byleveraging proteogenomic datasets from normal brain tissues (PMID: 30518843), we identified genes, proteins, and pathways with differential age-dependent molecular profiles between tumor and normal brain tissues. Notably, this analysis highlighted significant alterations in proteins from theoxidative phosphorylation, tricarboxylic acid (TCA) cycle, and myelin sheath pathways in tumors compared to normal tissues, some of which werefound to be sex-specific.To search for prognostic markers, we introduced a novel approach called Trans-Population Survival Analysis throughInterpolation of Age-Dependent Tumor Molecular Profiles. Applying this method on the kinase activity scores derived from the phosphoproteomicdata, we identified 150 kinases whose activities were significantly associated with OS among AYA patients. Additionally, employing a causal networkanalysis tool, we pinpointed six kinases causally linked to OS, suggesting their potential as treatment targets. This study not only characterizes themolecular landscape of AYA HGG but also explores the disease trajectory across the lifespan. Our findings shed light on the intricate interplay ofvarious factors influencing glioma etiology and patient outcomes, paving the way for a deeper understanding of HGG in the AYA population.
DOI: 10.5066/p133bn39
title: Results from experiments to measure the effect of nutrients on phytoplankton growth and potential toxin production in Kabetogama Lake (Minnesota, USA) during September 2021 and 2022

description: We performed short-term lab bioassays with nutrient enrichment on field-collected, naturally occurring phytoplankton communities. Naturally-occurring phytoplankton communities were collected from Kabetogama Lake (Minnesota, USA), which is a large lake located within Voyageurs National Park. Two experiments were performed in 2021 and two in 2022. Phytoplankton were raised in the lab under controlled light and temperature conditions, but were provided with amendments of nitrogen (either reduced or oxidized), phosphorus or a combination of all three. We measured the growth (in units of chlorophyll a and biovolume) and upregulation of cyanotoxin production for communities after two days of incubation in the lab.
DOI: 10.15468/dl.vthptc
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melinis repens",
 "Country is Thailand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 72 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033773-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2hjm5v
title: CCDC 2309877: Experimental Crystal Structure Determination

description: Related Article: Debjani Pradhan, Snehasish Debnath, Riya Ghosh, Jishnunil Chakraborty, Pabitra B. Chatterjee|2025|J.Mater.Chem.A|13|32402|doi:10.1039/d5ta05768j
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.cc2k8l6n
title: CCDC 2361741: Experimental Crystal Structure Determination

description: Related Article:  Dan Xu, Xiaoxuan Li, Yifei Cai, Yushuang Chen, Yu Xin, Jing Chen, Hui Yao, Nianyu Huang, Nengzhong Wang|2025|Chem.Commun.|61|15433|doi:10.1039/d5cc04624f
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.cc2k8l7p
title: CCDC 2361742: Experimental Crystal Structure Determination

description: Related Article:  Dan Xu, Xiaoxuan Li, Yifei Cai, Yushuang Chen, Yu Xin, Jing Chen, Hui Yao, Nianyu Huang, Nengzhong Wang|2025|Chem.Commun.|61|15433|doi:10.1039/d5cc04624f
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.