cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7699904
title: Estimations of operational efficiencies and potential income gains considering the credit risk for China’s banks

description: This paper proposes a method framework to estimate operational efficiencies and potential income gains considering the credit risk for banks. The method refers to the optimization of operational income, interest income, and non-performing loan amounts. As main innovations, potential interest income gains from credit technology improvement and loan provision reduction are detected. Operational capability restriction is considered by an inverse-like DEA model. Based on an empirical study of Chinese banks, some suggestions are obtained: (1) diverse operational efficiencies are observed for bank groups. Operational efficiencies of rural commercial banks became worse after going public. (2) For city-owned and rural commercial banks, the investment performance and financial services should be improved to increase operational incomes. Excessive loan provision should be cautious to forbid more non-performing loans. (3) Credit risk technology improvement should be addressed by state-owned and rural commercial banks. Their operational inefficiencies are mainly from weak credit risk control. Research HighlightsA modified data envelopment analysis for output optimisation is proposed.Potential interest gains have been decomposed into parts for different causes.Operational capacity restrictions are considered in potential output estimations.The approach is applied to measure banks’ operational performance in China.Future suggestions for bank groups are provided in the empirical study. A modified data envelopment analysis for output optimisation is proposed. Potential interest gains have been decomposed into parts for different causes. Operational capacity restrictions are considered in potential output estimations. The approach is applied to measure banks’ operational performance in China. Future suggestions for bank groups are provided in the empirical study.
DOI: 10.6084/m9.figshare.7699904.v1
title: Estimations of operational efficiencies and potential income gains considering the credit risk for China’s banks

description: This paper proposes a method framework to estimate operational efficiencies and potential income gains considering the credit risk for banks. The method refers to the optimization of operational income, interest income, and non-performing loan amounts. As main innovations, potential interest income gains from credit technology improvement and loan provision reduction are detected. Operational capability restriction is considered by an inverse-like DEA model. Based on an empirical study of Chinese banks, some suggestions are obtained: (1) diverse operational efficiencies are observed for bank groups. Operational efficiencies of rural commercial banks became worse after going public. (2) For city-owned and rural commercial banks, the investment performance and financial services should be improved to increase operational incomes. Excessive loan provision should be cautious to forbid more non-performing loans. (3) Credit risk technology improvement should be addressed by state-owned and rural commercial banks. Their operational inefficiencies are mainly from weak credit risk control. Research HighlightsA modified data envelopment analysis for output optimisation is proposed.Potential interest gains have been decomposed into parts for different causes.Operational capacity restrictions are considered in potential output estimations.The approach is applied to measure banks’ operational performance in China.Future suggestions for bank groups are provided in the empirical study. A modified data envelopment analysis for output optimisation is proposed. Potential interest gains have been decomposed into parts for different causes. Operational capacity restrictions are considered in potential output estimations. The approach is applied to measure banks’ operational performance in China. Future suggestions for bank groups are provided in the empirical study.
DOI: 10.6084/m9.figshare.20282217
title: Additional file 1 of Multiplex immunohistochemistry defines the tumor immune microenvironment and immunotherapeutic outcome in CLDN18.2-positive gastric cancer

description: Additional file 1: Table S1. Details of antibodies used for multiple immunohistochemistry. Table S2. The clinical, pathological, and molecular characteristics of groups with higher or lower CLDN18 expression in TCGA cohorts. Table S3. The clinical, pathological, and molecular characteristics of CLDN18.2 positive or negative gastric cancer patients receiving immunotherapy. Table S4. The expression proportion of cell markers in CLDN18.2 positive and negative tumor tissues. Table S5. The effective score of cell markers in CLDN18.2 positive and negative tumor tissues. Table S6. The effective percent of cell markers in CLDN18.2 positive and negative tumor tissues. Table S7. The expression proportion of cell markers in CLDN18.2 positive and negative normal tissues. Table S8. The effective score of cell markers in CLDN18.2 positive and negative normal tissues. Table S9. The effective percent of cell markers in CLDN18.2 positive and negative normal tissues.
DOI: 10.5281/zenodo.10675311
title: Global Twenty-four Solar Terms phenological MODIS normalized difference vegetation index dataset in 2001-2022

description: Phenology reflects the life cycle of vegetation, crucial for monitoring global vegetation diversity, ecosystem stability, and agricultural security. However, there is currently no dataset related to phenology. The twenty-four solar terms (24STs), based on the Sun's annual motion, reflect the changing seasons, temperature fluctuations, and phenological phenomena. They serve as a vital means to characterize vegetation phenology. This study generate a global Normalized Difference Vegetation Index (NDVI) product based on 24STs using Moderate Resolution Imaging Spectroradiometer (MODIS) on the Google Earth Engine (GEE). The 24STs NDVI dataset adopted the maximum value compositing (MVC) to process the NDVI values between two adjacent 24STs. The product has a temporal resolution of 16-day and a spatial resolution of 250m. Comparing with the MOD13Q1, good spatiotemporal consistency between the two datasets was observed, confirming the reliability of the 24STs product. However, the 24STs product holds distinct phenological meanings. This product introduces, for the first time, a vegetation index dataset based on the 24STs, enriching the vegetation index dataset and facilitating further research on phenology.
DOI: 10.6084/m9.figshare.20282176
title: Additional file 10 of Genome-wide identification, phylogenetic analysis, and expression profiles of trihelix transcription factor family genes in quinoa (Chenopodium quinoa Willd.) under abiotic stress conditions

description: Additional file 10: Table S7. Primer sequences of 10 selected CqTH genes and reference genes for qPCR.
DOI: 10.6084/m9.figshare.20282179
title: Additional file 1 of Genome-wide identification, phylogenetic analysis, and expression profiles of trihelix transcription factor family genes in quinoa (Chenopodium quinoa Willd.) under abiotic stress conditions

description: Additional file 1: Table S1. The physicochemical properties, cds and protein sequences of the 47 CqTH genes identified in this study.
DOI: 10.6084/m9.figshare.20282197
title: Additional file 7 of Genome-wide identification, phylogenetic analysis, and expression profiles of trihelix transcription factor family genes in quinoa (Chenopodium quinoa Willd.) under abiotic stress conditions

description: Additional file 7: Table S4. One-to-one orthologous gene relationships between C.quinoa and other plants.
DOI: 10.6084/m9.figshare.20282182
title: Additional file 2 of Genome-wide identification, phylogenetic analysis, and expression profiles of trihelix transcription factor family genes in quinoa (Chenopodium quinoa Willd.) under abiotic stress conditions

description: Additional file 2: Table S2. Analysis and distribution of the conserved motifs in CqTH proteins.
DOI: 10.6084/m9.figshare.6651182
title: MOESM1 of Estimating in situ rock mass strength and elastic modulus of granite from the Soultz-sous-ForĂŞts geothermal reservoir (France)

description: Additional file 1. Raw rock mass characterisation assessment used to derive GSI on a 1-m scale.
DOI: 10.6084/m9.figshare.11369814
title: Sustained activation of autophagy suppresses adipocyte maturation via a lipolysis-dependent mechanism

description: Dysregulation of macroautophagy/autophagy is implicated in obesity and insulin resistance. However, it remains poorly defined how autophagy regulates adipocyte development. Using adipose-specific <i>rptor/raptor</i> knockout (KO), <i>atg7</i> KO and <i>atg7 rptor</i> double-KO mice, we show that inhibiting MTORC1 by RPTOR deficiency led to autophagic sequestration of lipid droplets, formation of LD-containing lysosomes, and elevation of basal and isoproterenol-induced lipolysis <i>in vivo</i> and in primary adipocytes. Despite normal differentiation at an early phase, progressive degradation and shrinkage of cellular LDs and downregulation of adipogenic markers PPARG and PLIN1 occurred in terminal differentiation of <i>rptor</i> KO adipocytes, which was rescued by inhibiting lipolysis or lysosome. In contrast, inactivating autophagy by depletion of ATG7 protected adipocytes against RPTOR deficiency-induced formation of LD-containing lysosomes, LD degradation, and downregulation of adipogenic markers <i>in vitro</i>. Ultimately, <i>atg7 rptor</i> double-KO mice displayed decreased lipolysis, restored adipose tissue development, and upregulated thermogenic gene expression in brown and inguinal adipose tissue compared to RPTOR-deficient mice <i>in vivo</i>. Collectively, our study demonstrates that autophagy plays an important role in regulating adipocyte maturation via a lipophagy and lipolysis-dependent mechanism. ATG7: autophagy related 7; BAT: brown adipose tissue; CEBPB/C/EBPβ: CCAAT enhancer binding protein beta; DGAT1: diacylglycerol O-acyltransferase 1; eWAT: epididymal white adipose tissue; iWAT: inguinal white adipose tissue; KO: knockout; LD: lipid droplet; MAP1LC3/LC3: microtubule-associated protein 1 light chain 3; MTOR: mechanistic target of rapamycin kinase; MTORC1: mechanistic target of rapamycin kinase complex 1; PLIN1: perepilin 1; PNPLA2/ATGL: patatin-like phospholipase domain containing 2; PPARG/PPARγ: peroxisome proliferator activated receptor gamma; RPTOR: regulatory associated protein of MTOR complex1; TG: triglyceride; ULK1: unc-51 like kinase 1; UCP1: uncoupling protein 1; WAT: white adipose tissue
DOI: 10.6084/m9.figshare.6651182.v1
title: MOESM1 of Estimating in situ rock mass strength and elastic modulus of granite from the Soultz-sous-ForĂŞts geothermal reservoir (France)

description: Additional file 1. Raw rock mass characterisation assessment used to derive GSI on a 1-m scale.
DOI: 10.6084/m9.figshare.20282191
title: Additional file 5 of Genome-wide identification, phylogenetic analysis, and expression profiles of trihelix transcription factor family genes in quinoa (Chenopodium quinoa Willd.) under abiotic stress conditions

description: Additional file 5: Table S3. The 23 pairs of segmental duplicates in CqTH genes.
DOI: 10.6084/m9.figshare.25001634
title: Additional file 1 of Development and clinical application of loop-mediated isothermal amplification combined with lateral flow assay for rapid diagnosis of SARS-CoV-2

description: Additional file 1.
DOI: 10.6084/m9.figshare.25001634.v1
title: Additional file 1 of Development and clinical application of loop-mediated isothermal amplification combined with lateral flow assay for rapid diagnosis of SARS-CoV-2

description: Additional file 1.
DOI: 10.6084/m9.figshare.13466721.v1
title: Additional file 16 of Weighted Gene Co-Expression Network Coupled with a Critical-Time-Point Analysis during Pathogenesis for Predicting the Molecular Mechanism Underlying Blast Resistance in Rice

description: Additional file 16 : Table S12. The genes information in pink module.
DOI: 10.6084/m9.figshare.13466717
title: Additional file 14 of Weighted Gene Co-Expression Network Coupled with a Critical-Time-Point Analysis during Pathogenesis for Predicting the Molecular Mechanism Underlying Blast Resistance in Rice

description: Additional file 14 : Table S10. The genes information in yellow module.
DOI: 10.6084/m9.figshare.13466719.v1
title: Additional file 15 of Weighted Gene Co-Expression Network Coupled with a Critical-Time-Point Analysis during Pathogenesis for Predicting the Molecular Mechanism Underlying Blast Resistance in Rice

description: Additional file 15 : Table S11. The genes information in green-yellow module.
DOI: 10.6084/m9.figshare.13466723.v1
title: Additional file 17 of Weighted Gene Co-Expression Network Coupled with a Critical-Time-Point Analysis during Pathogenesis for Predicting the Molecular Mechanism Underlying Blast Resistance in Rice

description: Additional file 17 : Table S13. The genes information in purple module.
DOI: 10.6084/m9.figshare.13466717.v1
title: Additional file 14 of Weighted Gene Co-Expression Network Coupled with a Critical-Time-Point Analysis during Pathogenesis for Predicting the Molecular Mechanism Underlying Blast Resistance in Rice

description: Additional file 14 : Table S10. The genes information in yellow module.
DOI: 10.15468/dl.ec2gfz
title: Occurrence Download

description: A dataset containing 2716 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calyptridium monandrum Nutt."
 ]
}

 The dataset includes 2716 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138942-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqmnl5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 0 records from 3137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007532-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh2761502.08fu
title: SH2761502.08FU

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/sh2761503.08fu
title: SH2761503.08FU

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/sh494380.07fu
title: SH494380.07FU

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/sh494381.07fu
title: SH494381.07FU

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/sh2761504.08fu
title: SH2761504.08FU

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/sh2761505.08fu
title: SH2761505.08FU

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/sh494382.07fu
title: SH494382.07FU

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/sh494383.07fu
title: SH494383.07FU

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.