cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0965820.10fu
title: SH0965820.10FU

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/sh0965821.10fu
title: SH0965821.10FU

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/sh0965822.10fu
title: SH0965822.10FU

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/sh0965823.10fu
title: SH0965823.10FU

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/sh0965824.10fu
title: SH0965824.10FU

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/sh0965825.10fu
title: SH0965825.10FU

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/sh0965826.10fu
title: SH0965826.10FU

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/sh0965827.10fu
title: SH0965827.10FU

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/sh0965828.10fu
title: SH0965828.10FU

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/sh0965829.10fu
title: SH0965829.10FU

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.b5y8e6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rinorea palaucica Kaneh. & Hatus."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096316-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kewhk7
title: Occurrence Download

description: A dataset containing 1012 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Reaumuria hirtella Jaub. & Spach"
 ]
}

 The dataset includes 1012 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096317-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65c8m4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa zaramagensis Demurova"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096318-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nhysf
title: Occurrence Download

description: A dataset containing 987279 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ranunculus acris L."
 ]
}

 The dataset includes 987279 records from 3304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096259-240321170329656/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.18739315
title: Additional file 9 of Characterization and regulation mechanism analysis of ubiquitin-conjugating family genes in strawberry reveals a potential role in fruit ripening

description: Additional file 9: Table S8. The AtUBC proteins in protein-protein interaction network and the homologous FaUBC proteins in strawberry.
DOI: 10.6084/m9.figshare.18739315.v1
title: Additional file 9 of Characterization and regulation mechanism analysis of ubiquitin-conjugating family genes in strawberry reveals a potential role in fruit ripening

description: Additional file 9: Table S8. The AtUBC proteins in protein-protein interaction network and the homologous FaUBC proteins in strawberry.
DOI: 10.6084/m9.figshare.18739296.v1
title: Additional file 4 of Genome-wide analysis and functional annotation of chromatin-enriched noncoding RNAs in rice during somatic cell regeneration

description: Additional file 4: Table S3. Public datasets used in this study.
DOI: 10.6084/m9.figshare.7205153
title: Zircon U–Pb geochronology and Hf isotopic constraints on the petrogenesis of the Late Silurian Shidonggou granite from the Wulonggou area in the Eastern Kunlun Orogen, Northwest China

description: The Wulonggou area in the Eastern Kunlun Orogen (EKO) in Northwest China is characterized by extensive granitic magmatism, ductile faulting, and orogenic gold mineralizations. The Shidonggou granite is located in the central part of the Wulonggou area. This study investigated the major as well as trace-element compositions, zircon U–Pb dates, and zircon Hf isotopic compositions of the Shidonggou granite. Three Shidonggou granite samples yielded an average U–Pb zircon age of 416 Ma (Late Silurian). The Late Silurian Shidonggou granite is peraluminous, with high alkali contents, high Ga/Al ratios, high (K<sub>2</sub>O + Na<sub>2</sub>O)/CaO ratios, and high Fe<sub>2</sub>O<sub>3</sub><sup>T</sup>/MgO ratios, suggesting an A-type granite. The Shidonggou granite samples have zircon <i>ε</i><sub>Hf</sub>(<i>t</i>) values ranging from −7.1 to +4.4. The Hf isotopic data suggest that the Late Silurian granite was derived from the partial melting of Palaeo- to Mesoproterozoic juvenile mantle-derived mafic lower crust. Detailed geochronological and geochemical data suggest that the Late Silurian granite was emplaced in a post-collisional environment following the closure of the Proto-Tethys Ocean. Combining data of other A-type granitic rocks with ages of Late Early Silurian to Middle Devonian, such post-collisional setting related to the Proto-Tethys Ocean commenced at least as early as ~430 Ma (Late Early Silurian), and sustained up to ~389 Ma (Middle Devonian) in the EKO.
DOI: 10.6084/m9.figshare.18739354
title: Additional file 2 of Gut microbiome alterations and gut barrier dysfunction are associated with host immune homeostasis in COVID-19 patients

description: Additional file 2: Table S1. The basic information of COVID-19 patients. Table S2. The basic information of fecal samples collected from COVID-19 patients. Table S3. The microbial species identified from all participants. Table S4. The associations between microbial species and clinical traits. Table S5. The abundance of microbial species in COVID-19 severe patients. Table S6. The abundance of microbial species in participants without using antibiotics. Table S7. The associations between microbial pathways and clinical traits. Table S8. The correlation between microbial virulence factors and clinical traits. Table S9. The associations between circulating level of lipopolysaccharide-binding protein and clinical traits. Table S10. The microbial taxa identified from all plasma samples of COVID-19 patients.
DOI: 10.6084/m9.figshare.12972213.v1
title: Additional file 2 of Genetic profiling of primary and secondary tumors from patients with lung adenocarcinoma and bone metastases reveals targeted therapy options

description: Additional file 2.
DOI: 10.25345/c5707x03z
title: MassIVE MSV000094133 - HPK-1 Citron Homology Domain interactions with Kinase Domain
title: The files uploaded here are converted into a standard mzxml format, and utilize processing procedures described in 10.1021/acs.analchem.9b01682 Briefly, HXMS data processing consists of 1. MSMS experiment to identify peptides and their associated retention times. These files have *MSMS* in the filename. They are searched using HPK.fasta. 2. Unlabeled peptide pool file is used to refine the exact RT range of the peptide in the experiment (MSMS experiment may be conducted at a different time). 3. Labeling experiments are then searched using ExMS2 (see manuscript linked above) to produce carried deuterium at each time point for peptides included in the pool. Comparing uptake patterns between "FullLength" files and "Kinase" files produces the map of differences on the kinase domain induced by the citron homology domain. There are two CSV files, these contain the peptides identified in each MSMS run. These are found in Search Engine Files. There are also finaltables produced by the ExMS program containing all raw and unfiltered results. There is a pdf file associated that shows the final peptides used for the analyses after discarding noisy peptides upon manual inspection. All protection factors extracted from this data along with a summary table can be found in "File_HX_TABLES.xlsx".
DOI: 10.6084/m9.figshare.18739401
title: Additional file 1 of Lipid reprogramming induced by the TFEB-ERRα axis enhanced membrane fluidity to promote EC progression

description: Additional file 1: Figure S1. The flow chart of study participants. Abbreviation: APO-A, a polipoprotein A; APO-B, a polipoprotein B; BMI, Body Mass Index; CA125, Cancer antigen 125; CHOL, Cholesterol; Con, Control; EC, Endometrial cancer; ERRα, Estrogen-Related Receptor α; FIGO, Federation International of Gynecology and Obstetrics; HDL, High-Density Lipoprotein; IHC, Immunohistochemistry; IRS,Immunoreactive Score; LDL, Low-Density Lipoprotein; LNM, Lymph Node Metastasis; LC/MS, Liquid Chromatography Mass Spectrometry; PC, Phosphatidylcholine; PE, Phosphatidylethanolamine; TAG, Triacylglycerol; TG, Total Triglyceride; TFEB, transcription factor EB. Figure S2. The ROC cruve of PC (18:1/18:2) +HCOO, PC (32:2) +H, HDL and CA125. Figure S3. Hypothesis diagram of lipid reprogramming in EC cells modulated by TFEB-ERRα axis. Table S1. The overlapped lipids between TFEB and ERRα over-expressing. Table S2. Significant proteins derived from omics analysis.
DOI: 10.6084/m9.figshare.18739401.v1
title: Additional file 1 of Lipid reprogramming induced by the TFEB-ERRα axis enhanced membrane fluidity to promote EC progression

description: Additional file 1: Figure S1. The flow chart of study participants. Abbreviation: APO-A, a polipoprotein A; APO-B, a polipoprotein B; BMI, Body Mass Index; CA125, Cancer antigen 125; CHOL, Cholesterol; Con, Control; EC, Endometrial cancer; ERRα, Estrogen-Related Receptor α; FIGO, Federation International of Gynecology and Obstetrics; HDL, High-Density Lipoprotein; IHC, Immunohistochemistry; IRS,Immunoreactive Score; LDL, Low-Density Lipoprotein; LNM, Lymph Node Metastasis; LC/MS, Liquid Chromatography Mass Spectrometry; PC, Phosphatidylcholine; PE, Phosphatidylethanolamine; TAG, Triacylglycerol; TG, Total Triglyceride; TFEB, transcription factor EB. Figure S2. The ROC cruve of PC (18:1/18:2) +HCOO, PC (32:2) +H, HDL and CA125. Figure S3. Hypothesis diagram of lipid reprogramming in EC cells modulated by TFEB-ERRα axis. Table S1. The overlapped lipids between TFEB and ERRα over-expressing. Table S2. Significant proteins derived from omics analysis.
DOI: 10.6084/m9.figshare.18739299
title: Additional file 5 of Genome-wide analysis and functional annotation of chromatin-enriched noncoding RNAs in rice during somatic cell regeneration

description: Additional file 5: Table S4. Neighboring genes which significantly correlated with cheRNAs.
DOI: 10.6084/m9.figshare.18739308
title: Additional file 7 of Genome-wide analysis and functional annotation of chromatin-enriched noncoding RNAs in rice during somatic cell regeneration

description: Additional file 7: Table S6. GO terms of the neighboring genes of the che-lincRNAs from different clusters.
DOI: 10.6084/m9.figshare.18739299.v1
title: Additional file 5 of Genome-wide analysis and functional annotation of chromatin-enriched noncoding RNAs in rice during somatic cell regeneration

description: Additional file 5: Table S4. Neighboring genes which significantly correlated with cheRNAs.
DOI: 10.6084/m9.figshare.12972229
title: Additional file 2 of Five gene signatures were identified in the prediction of overall survival in resectable pancreatic cancer

description: Additional file 2.
DOI: 10.17909/30cr-t006
title: HFF-DEEPSPACE obs used in papers

description: Observations from HFF deepspace used  in MWA progenitor paper and earlier quenching paper
DOI: 10.6084/m9.figshare.25246195
title: <b>Engineered Corneal Endothe</b><b>lium</b><b> Review and Bibliometric Database</b>

description: <b>Databases for: </b><b>From the Bench to the Bedside: Bridging the Gap of Engineered Corneal Endothelium in Clinical Practice</b>
DOI: 10.6084/m9.figshare.25246195.v2
title: <b>Engineered Corneal Endothe</b><b>lium</b><b> Review and Bibliometric Database</b>

description: <b>Databases for: </b><b>From the Bench to the Bedside: Bridging the Gap of Engineered Corneal Endothelium in Clinical Practice</b>
DOI: 10.6084/m9.figshare.25246195.v1
title: <b>Engineered Corneal Endothe</b><b>lium</b><b> Review and Bibliometric Database</b>

description: <b>Databases for: </b><b>From the Bench to the Bedside: Bridging the Gap of Engineered Corneal Endothelium in Clinical Practice</b>
DOI: 10.34740/kaggle/dsv/7666019
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.6084/m9.figshare.20306701
title: Additional file 2 of Plastome comparison and phylogenomics of Fagopyrum (Polygonaceae): insights into sequence differences between Fagopyrum and its related taxa

description: Additional file 2. Plastome DNA Sequences of Fagopyrum.
DOI: 10.6084/m9.figshare.20306701.v1
title: Additional file 2 of Plastome comparison and phylogenomics of Fagopyrum (Polygonaceae): insights into sequence differences between Fagopyrum and its related taxa

description: Additional file 2. Plastome DNA Sequences of Fagopyrum.
DOI: 10.6084/m9.figshare.7729715.v1
title: Additional file 2: of PLAIDOH: a novel method for functional prediction of long non-coding RNAs identifies cancer-specific LncRNA activities

description: Table S1. Detailed PLAIDOH output file columns. Contains descriptions of each column in the default â Output_â table created by PLAIDOH using either the provided Example input table or any user-provided input expression table that is properly formatted as described in Table 1. (XLSX 11 kb)