cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0900206.09fu
title: SH0900206.09FU

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/sh0900207.09fu
title: SH0900207.09FU

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/sh0900208.09fu
title: SH0900208.09FU

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/sh0900209.09fu
title: SH0900209.09FU

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/sh0900210.09fu
title: SH0900210.09FU

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/sh0900211.09fu
title: SH0900211.09FU

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/sh0900212.09fu
title: SH0900212.09FU

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/sh0900213.09fu
title: SH0900213.09FU

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/sh0900214.09fu
title: SH0900214.09FU

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.22603289.v1
title: Additional file 14 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 14. Results of radiomic feature selection by t-test and Scale algorithm without center -scaling in PET images.
DOI: 10.6084/m9.figshare.22603313
title: Additional file 21 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 21. Results of radiomic feature selection by mutual information and Scale algorithm in PET images.
DOI: 10.6084/m9.figshare.22603268.v1
title: Additional file 7 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 7. Results of radiomic feature selection by t-test and Min-max algorithm in CT images.
DOI: 10.6084/m9.figshare.22603285
title: Additional file 5 of Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data

description: Additional file 5: Table S5. Differential analysis of microbial compositions between IBS and healthy controls at the family level.
DOI: 10.6084/m9.figshare.22603292.v1
title: Additional file 15 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 15. Results of radiomic feature selection by mutual information and Min-max algorithm in CT images.
DOI: 10.6084/m9.figshare.22603265
title: Additional file 6 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 6. Results of radiomic feature selection by Variance threshold in PET images.
DOI: 10.6084/m9.figshare.22603265.v1
title: Additional file 6 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 6. Results of radiomic feature selection by Variance threshold in PET images.
DOI: 10.6084/m9.figshare.22603277.v1
title: Additional file 10 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 10. Results of radiomic feature selection by t-test and Scale algorithm without center -scaling in CT images.
DOI: 10.6084/m9.figshare.22603256
title: Additional file 3 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 3. Results of radiomic feature selection in CT images.
DOI: 10.6084/m9.figshare.22603259.v1
title: Additional file 4 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 4. Results of radiomic feature selection in PET images.
DOI: 10.6084/m9.figshare.22603291
title: Additional file 7 of Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data

description: Additional file 7: Table S7. Differential analysis of microbial compositions between IBS and healthy controls at the species level.
DOI: 10.6084/m9.figshare.22603289
title: Additional file 14 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 14. Results of radiomic feature selection by t-test and Scale algorithm without center -scaling in PET images.
DOI: 10.6084/m9.figshare.6874766
title: Defective autophagy in osteoblasts induces endoplasmic reticulum stress and causes remarkable bone loss

description: Macroautophagy/autophagy is a highly regulated process involved in the turnover of cytosolic components, however its pivotal role in maintenance of bone homeostasis remains elusive. In the present study, we investigated the direct role of ATG7 (autophagy related 7) during developmental and remodeling stages <i>in vivo</i> using osteoblast-specific <i>Atg7</i> conditional knockout (cKO) mice. <i>Atg7</i> cKO mice exhibited a reduced bone mass at both developmental and adult age. The trabecular bone volume of <i>Atg7</i> cKO mice was significantly lower than that of controls at 5 months of age. This phenotype was attributed to decreased osteoblast formation and matrix mineralization, accompanied with an increased osteoclast number and the extent of the bone surface covered by osteoclasts as well as an elevated secretion of <i>TNFSF11/RANKL</i> (tumor necrosis factor [ligand] superfamily, member 11), and a decrease in <i>TNFRSF11B/OPG</i> (tumor necrosis factor receptor superfamily, member 11b [osteoprotegerin]). Remarkably, <i>Atg7</i> deficiency in osteoblasts triggered endoplasmic reticulum (ER) stress, whereas attenuation of ER stress by administration of phenylbutyric acid <i>in vivo</i> abrogated <i>Atg7</i> ablation-mediated effects on osteoblast differentiation, mineralization capacity and bone formation. Consistently, <i>Atg7</i> deficiency impeded osteoblast mineralization and promoted apoptosis partially in DDIT3/CHOP (DNA-damage-inducible transcript 3)- and MAPK8/JNK1 (mitogen-activated protein kinase 8)-SMAD1/5/8-dependent manner <i>in vitro</i>, while reconstitution of <i>Atg7</i> could improve ER stress and restore skeletal balance. In conclusion, our findings provide direct evidences that autophagy plays crucial roles in regulation of bone homeostasis and suggest an innovative therapeutic strategy against skeletal diseases.
DOI: 10.6084/m9.figshare.22603301
title: Additional file 18 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 18. Results of radiomic feature selection by mutual information and Scale algorithm without center -scaling in CT images.
DOI: 10.6084/m9.figshare.22603313.v1
title: Additional file 21 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

description: Additional file 21. Results of radiomic feature selection by mutual information and Scale algorithm in PET images.
DOI: 10.6084/m9.figshare.22600561
title: Additional file 2 of Genome-wide identification, characterization, and expression pattern of the late embryogenesis abundant (LEA) gene family in Juglans regia and its wild relatives J. mandshurica

description: Additional file 2: Table S1. Primers for the qRT-PCR experiment. Table S2. Protein sequences of all LEA genes in J. regia and J. mandshurica. Table S3. Homologous LEA gene pairs and Ka/Ks values in J. regia and J. mandshurica. Table S4. Homologous LEA gene pairs in Arabidopsis and two Juglans species. Table S5. The FPKM values of all LEA genes in different tissues of J. regia. Table S6. The FPKM values of all LEA genes in different tissues of J. mandshurica. Table S7. The putative miRNAs and their targeted LEA genes. Table S8. The FPKM values of all LEA genes in anthracnose-resistant varieties (F26) and anthracnose-susceptible varieties (F423) with the time after infection of J. regia.
DOI: 10.6084/m9.figshare.25163735
title: Supplementary Material for: Untreated Classic Galactosemia – a rare cause of adult-onset progressive cerebellar ataxia: A case report.

description: Introduction: Identifying the underlying etiology of nonfamilial adult-onset progressive cerebellar ataxia is often challenging because neurologists must consider almost all nongenetic and genetic causes of ataxia. Case Presentation: A 39-year-old woman was hospitalized for progressive ataxia with pyramidal and cognitive dysfunction after a right arm shaking and coordination problem deteriorated progressively over 1.5 years. The patient's medical history included amenorrhea, cataracts, developmental delays, consanguinity of the parents, motor coordination issues, and diarrhea and vomiting in infancy. An important finding that enabled us to solve the diagnostic conundrum was the elevated CDT levels in the lack of alcohol-related symptoms, which also occur in untreated carbohydrate metabolism disorders, sometimes with ataxia as a leading symptom. The decreased erythrocyte galactose-1-phosphate uridyltransferase (GALT) enzyme activity and the elevated erythrocyte galactose-1-phosphate (Gal-1P) concentration led to the final diagnosis of galactosemia, a rare metabolic disorder. The patient's condition stayed stable with strict adherence to lactose-free and galactose-restricted diets, regular physiotherapy, and speech therapy, despite attempts to control the crippling tremor. Conclusion: This case highlights the importance of considering rare diseases based on unexplained clinical and laboratory findings. Newborn screening does not change the long-term complications of early-treated classical galactosemia. A small percentage of these patients develop ataxia tremor syndrome.
DOI: 10.15131/shef.data.25152620
title: Small RNA sequencing data from oral cancer cell line extracellular pellets

description: Oral cancer cell line (H357 and SCC4) extracellular pellets were isolated by differential centrifugation and subject to small RNA sequencing analysis. More detailed methodology is included in the readme.txt file. Microsoft Excel data is formatted as normalised reads per million. Aligned sequencing data is provided as BAM/BAI files.
DOI: 10.6084/m9.figshare.22603576
title: Additional file 1 of Development and validation of nomogram of peritoneal metastasis in gastric cancer based on simplified clinicopathological features and serum tumor markers

description: Additional file 1.
DOI: 10.6084/m9.figshare.22603576.v1
title: Additional file 1 of Development and validation of nomogram of peritoneal metastasis in gastric cancer based on simplified clinicopathological features and serum tumor markers

description: Additional file 1.
DOI: 10.6084/m9.figshare.22603582.v1
title: Additional file 3 of Development and validation of nomogram of peritoneal metastasis in gastric cancer based on simplified clinicopathological features and serum tumor markers

description: Additional file 3.
DOI: 10.5258/soton/d1009
title: Dataset supporting the publication "Spectral difference interferometry for the characterisation of optical media"

description: This dataset is supporting the publication:
K. R. H. Bottrill, M. A. Ettabib, I. Demirtzioglou, R. Marchetti, C. Lacava, F. Parmigiani, D. J. Richardson, P. Petropoulos, Spectral Difference Interferometry for the Characterization of Optical Media. Laser & Photonics Reviews 2019, 13, 1900007. https://doi.org/10.1002/lpor.201900007

The data reflects a new form of interferometry combining high phase sensitivity and excellent mechanical isolation. Measurements include the chromatic dispersion of SMF-28 of lengths ranging from 1 m to 1 km, the nonlinear coefficient of highly nonlinear fiber and the phase transfer profile of an integrated optical ring resonator.

This dataset contains CSV files, whereby the data for each figure is contained within a directory of the same name. Data files are named after the Figure they correspond to and contain the data necessary to recreate the plots.
DOI: 10.6084/m9.figshare.25163753
title: <b>Silica gradient accelerates hydrogen (H2) generation during the hydrothermal alteration of olivine</b>

description: data set for "Silica gradient accelerates hydrogen (H2) generation during the hydrothermal alteration of olivine"
DOI: 10.6084/m9.figshare.25163753.v1
title: <b>Silica gradient accelerates hydrogen (H2) generation during the hydrothermal alteration of olivine</b>

description: data set for "Silica gradient accelerates hydrogen (H2) generation during the hydrothermal alteration of olivine"
DOI: 10.6084/m9.figshare.22603355.v1
title: Additional file 5 of Integrative single-cell RNA-seq and ATAC-seq analysis of myogenic differentiation in pig

description: Additional file 5: Supplementary Table S4. Differentially accessible peaks between 15 distinct clusters in scATAC-seq data. Related to Figure 4.