cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15644966
title: The 16S rRNA sequencing data for "High-fat diet increases circulating palmitic acid produced by gut Bacteroides thetaiotaomicron to promote thrombosis"

description: This is the 16S sequencing data of fecal samples from healthy individuals and patients with coronary heart disease from the article “High-fat diet increases circulating palmitic acid produced by gut Bacteroides thetaiotaomicron to promote thrombosis”. The creator's consent is required for the reanalysis of this data.  Included in the zip file: 1-RawData: Raw downstream data and raw post-splicing data. 2-OTUanalysis: Data of clustering and species annotation of OTUs.3-PCA: Data of PCA analysis. 4-PCOA: Data of PCoA analysis.
DOI: 10.5281/zenodo.15644967
title: The 16S rRNA sequencing data for "High-fat diet increases circulating palmitic acid produced by gut Bacteroides thetaiotaomicron to promote thrombosis"

description: This is the 16S sequencing data of fecal samples from healthy individuals and patients with coronary heart disease from the article “High-fat diet increases circulating palmitic acid produced by gut Bacteroides thetaiotaomicron to promote thrombosis”. The creator's consent is required for the reanalysis of this data.  Included in the zip file: 1-RawData: Raw downstream data and raw post-splicing data. 2-OTUanalysis: Data of clustering and species annotation of OTUs.3-PCA: Data of PCA analysis. 4-PCOA: Data of PCoA analysis.
DOI: 10.15468/dl.k9rrzd
title: Occurrence Download

description: A dataset containing 4754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eudyptes chrysocome (J.R.Forster, 1781)"
 ]
}

 The dataset includes 4754 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037601-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15644973
title: Dataset supporting for manuscript

description: Data and key resources used to generate manuscript figures.
DOI: 10.5281/zenodo.15644974
title: Dataset supporting for manuscript

description: Data and key resources used to generate manuscript figures.
DOI: 10.6084/m9.figshare.29093480
title: Data Files for paper Seeger-Armbruster, et al., "Paraventricular nucleus of the thalamus neurons that project to the nucleus accumbens show enhanced c-Fos expression during early-stage cue-reward associative learning in male rats"

description: Files are Excel spreadsheets containing the data used for statistical analyses reported in the paper. The README file is a Word document that describes the items.<br>
DOI: 10.6084/m9.figshare.29093480.v1
title: Data Files for paper Seeger-Armbruster, et al., "Paraventricular nucleus of the thalamus neurons that project to the nucleus accumbens show enhanced c-Fos expression during early-stage cue-reward associative learning in male rats"

description: Files are Excel spreadsheets containing the data used for statistical analyses reported in the paper. The README file is a Word document that describes the items.<br>
DOI: 10.15468/dl.85atxk
title: Occurrence Download

description: A dataset listing the 80 species recorded in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry MULTIPOLYGON (((-66.97673 49.0038, -66.97966 49.00298, -66.98205 48.99395, -66.98434 48.98575, -66.99526 48.97693, -66.99417 48.97245, -66.99514 48.97149, -67.00276 48.96832, -67.00916 48.96665, -67.01809 48.95833, -67.0147 48.95478, -67.01848 48.95291, -67.01957 48.94681, -67.02562 48.94243, -67.02885 48.94144, -67.03614 48.9305, -67.05531 48.92014, -67.05893 48.91704, -67.04008 48.91042, -67.02736 48.90329, -67.02137 48.8966, -67.01315 48.89194, -67.00647 48.89144, -66.99891 48.89899, -66.99463 48.9118, -66.99733 48.91785, -66.98759 48.93099, -66.98732 48.93434, -66.99184 48.93883, -66.98465 48.9448, -66.98746 48.94853, -66.98677 48.95335, -66.97736 48.9593, -66.97388 48.96806, -66.96978 48.97429, -66.9725 48.97603, -66.97039 48.98667, -66.97145 48.99181, -66.973 48.99652, -66.97321 48.99987, -66.97673 49.0038)))"
 ]
}

 The dataset's 80 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037600-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15645019
title: Environmental filtering outweighs dispersal limitation in shaping the β diversity of grasshopper communities in Southeast Tibet, a biodiversity hotspot
DOI: 10.5281/zenodo.15645020
title: Environmental filtering outweighs dispersal limitation in shaping the β diversity of grasshopper communities in Southeast Tibet, a biodiversity hotspot
DOI: 10.6084/m9.figshare.29299169
title: Data for "Analyzing the Effect of Personality and Capabilities on Agile-Team Climate: A Brazilian Replicated Study"

description: Questionnaire used to gather data and gathered data.
DOI: 10.6084/m9.figshare.29299169.v1
title: Data for "Analyzing the Effect of Personality and Capabilities on Agile-Team Climate: A Brazilian Replicated Study"

description: Questionnaire used to gather data and gathered data.
DOI: 10.15468/dl.uxd8hk
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Siphonops annulatus (Mikan, 1822))"
 ]
}

 The dataset includes 67 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037603-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26gc6t
title: Occurrence Download

description: A dataset listing the 293 species recorded in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry MULTIPOLYGON (((-68.59431 48.40401, -68.60264 48.41186, -68.60904 48.41086, -68.61614 48.40918, -68.62156 48.40655, -68.62644 48.40236, -68.63738 48.39638, -68.64208 48.39775, -68.65255 48.39158, -68.6595 48.39292, -68.67421 48.39054, -68.68488 48.39208, -68.69115 48.39001, -68.70669 48.38455, -68.70403 48.37801, -68.69558 48.37419, -68.68968 48.3653, -68.68358 48.36116, -68.68379 48.35812, -68.68192 48.35713, -68.68588 48.3524, -68.67884 48.34436, -68.67922 48.34306, -68.67076 48.33935, -68.65989 48.34436, -68.64679 48.35002, -68.64262 48.35615, -68.63314 48.36537, -68.61703 48.36942, -68.60301 48.37031, -68.59015 48.37967, -68.5881 48.38372, -68.58896 48.38765, -68.58262 48.39468, -68.58382 48.40309, -68.59431 48.40401)))"
 ]
}

 The dataset's 293 records were derived from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037602-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.29166080
title: <i>Supporting data for</i> 'Tumor-Derived IL18BP is a Secreted Immune Checkpoint and Barrier to Anti-PD-1 Blockade in Hepatocellular Carcinoma'

description: Immunotherapy has shown promising in advanced hepatocellular carcinoma (HCC), yet the limited response rate to PD-1 blockade underscores the need to understand resistance mechanisms. Our study uncovers a novel resistance mechanism in which immunotherapy-induced IFNG signaling promotes tumor-derived IL18BP secretion via the STAT1/IRF1 axis. IL18BP functions as a secreted immune checkpoint that competitively inhibits IL18 signaling, thereby impairing IL18-mediated CD8+ T cell activation and metabolic reprogramming, ultimately driving immune evasion and immunotherapy resistance in HCC.
DOI: 10.25442/hku.29166080.v1
title: <i>Supporting data for</i> 'Tumor-Derived IL18BP is a Secreted Immune Checkpoint and Barrier to Anti-PD-1 Blockade in Hepatocellular Carcinoma'

description: Immunotherapy has shown promising in advanced hepatocellular carcinoma (HCC), yet the limited response rate to PD-1 blockade underscores the need to understand resistance mechanisms. Our study uncovers a novel resistance mechanism in which immunotherapy-induced IFNG signaling promotes tumor-derived IL18BP secretion via the STAT1/IRF1 axis. IL18BP functions as a secreted immune checkpoint that competitively inhibits IL18 signaling, thereby impairing IL18-mediated CD8+ T cell activation and metabolic reprogramming, ultimately driving immune evasion and immunotherapy resistance in HCC.
DOI: 10.15468/dl.z57tna
title: Occurrence Download

description: A dataset containing 774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Procambarus clarkii (Girard, 1852)"
 ]
}

 The dataset includes 774 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037604-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.29178785
title: <i>Supporting data for “</i>High Diversity and Variability of Pitcher Plant (<i>Nepenthes mirabilis</i>) Inquiline and Prey in Hong Kong along an Urbanisation Gradient<i>”</i>

description: The datasets are for investigating the pitcher plant biodiversity and the variations in the faunal composition of pitcher plants in Hong Kong along an urbanisation. The datasets are composed of two major areas - data on pitcher characteristics and animal composition of 180 pitchers sampled, as well as data on habitat features of 9 study sites across Hong Kong. These provide insights on the conservation and habitat management of pitcher plants.
DOI: 10.25442/hku.29178785.v1
title: <i>Supporting data for “</i>High Diversity and Variability of Pitcher Plant (<i>Nepenthes mirabilis</i>) Inquiline and Prey in Hong Kong along an Urbanisation Gradient<i>”</i>

description: The datasets are for investigating the pitcher plant biodiversity and the variations in the faunal composition of pitcher plants in Hong Kong along an urbanisation. The datasets are composed of two major areas - data on pitcher characteristics and animal composition of 180 pitchers sampled, as well as data on habitat features of 9 study sites across Hong Kong. These provide insights on the conservation and habitat management of pitcher plants.
DOI: 10.15468/dl.4k9aqg
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bupleurum scorzonerifolium, Bupleurum scorzonerifolium, Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., Bupleurum scorzonerifolium Willd., 1809, Bupleurum scorzonerifolium subsp. ensifolium H.Wolff, Bupleurum scorzonerifolium subsp. latum Nakai, Bupleurum scorzonerifolium subsp. stenophyllum Nakai, Bupleurum scorzonerifolium Willd. ex Schltdl., 1813, Bupleurum scorzonerifolium Willd. ex Schltdl., 1813, Bupleurum scorzonerifolium subsp. angustissimum (Franch.) Kitag., Paeonia lactiflora Pall., Bupleurum stenophyllum (Nakai) Kitag., Bupleurum sinensium Gand., Bupleurum sinensium Gand., Bupleurum sinensium Gand., Bupleurum sinensium Gand., Bupleurum sinensium Gand., Bupleurum sinensium Gand., Bupleurum stenophyllum (Nakai) Kitag.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((118 27,123 27,123 31.25,118 31.25,118 27))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037607-250525065834625/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.29299250
title: average_structures

description: Average structures from the production run under 9 different conditions
DOI: 10.6084/m9.figshare.29299250.v1
title: average_structures

description: Average structures from the production run under 9 different conditions
DOI: 10.15468/dl.bcp7rm
title: Occurrence Download

description: A dataset containing 7906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.18_1, CHN.10_1, CHN.27_1, CHN.23_1, CHN.24_1, CHN.6_1, CHN.31_1, CHN.15_1, CHN.4_1, CHN.7_1, CHN.9_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mycteria leucocephala (Pennant, 1769), Ciconia nigra (Linnaeus, 1758), Ciconia boyciana Swinhoe, 1873, Plegadis falcinellus (Linnaeus, 1766), Platalea leucorodia Linnaeus, 1758, Platalea minor Temminck & Schlegel, 1849, Nipponia nippon (Temminck, 1835))",
 "Year 2020-2025"
 ]
}

 The dataset includes 7906 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037609-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.29178611
title: Supporting data for “Consistent machine learning for nuclear mass, β-decay rate, and β-delayed neutron emission probability”

description: The file name "mass.csv" contains the nuclear mass prediction from the neural network I trained in the research, which uses the data from columns B-E as input and uses the data from column F and the experimental data to be the output. The file name "beta decay_rate.csv" contains the nuclear beta-decay rate prediction from the neural network I trained in the research. The beta-decay rate from the experimental data is used as the output of the training, and the beta-decay rates predicted by the neural network model with 10 different hyperparameters are shown in the file. The beta-decay rate predicted by the Gross theory is shown as a reference.The file name "pn.csv" contains the nuclear beta-delayed neutron emission probability prediction from the neural network I trained in the research. The beta-decay rate and beta-delayed neutron emission probability from the experimental data are used as the output of the training, and the beta-delayed neutron emission probabilities predicted by the neural network model with 10 different hyperparameters are shown in the file. The beta-delayed neutron emission probability predicted by the Gross theory is shown as a reference.<br>
DOI: 10.25442/hku.29178611.v1
title: Supporting data for “Consistent machine learning for nuclear mass, β-decay rate, and β-delayed neutron emission probability”

description: The file name "mass.csv" contains the nuclear mass prediction from the neural network I trained in the research, which uses the data from columns B-E as input and uses the data from column F and the experimental data to be the output. The file name "beta decay_rate.csv" contains the nuclear beta-decay rate prediction from the neural network I trained in the research. The beta-decay rate from the experimental data is used as the output of the training, and the beta-decay rates predicted by the neural network model with 10 different hyperparameters are shown in the file. The beta-decay rate predicted by the Gross theory is shown as a reference.The file name "pn.csv" contains the nuclear beta-delayed neutron emission probability prediction from the neural network I trained in the research. The beta-decay rate and beta-delayed neutron emission probability from the experimental data are used as the output of the training, and the beta-delayed neutron emission probabilities predicted by the neural network model with 10 different hyperparameters are shown in the file. The beta-delayed neutron emission probability predicted by the Gross theory is shown as a reference.<br>
DOI: 10.57760/sciencedb.12780
title: Paleosalinity data for the Chengjiang biota
title: Paleosalinity data for the Chengjiang biota

description: The dataset provide trace element data for paleosalinity reconstruction for the Chengjiang biota
description: The dataset provide trace element data for paleosalinity reconstruction for the Chengjiang biota
DOI: 10.57760/sciencedb.26204
title: MAFLD dataset of 2024 elderly population in Southwest China
title: MAFLD dataset of 2024 elderly population in Southwest China

description: This dataset is the 2024 physical examination data of the elderly population in the Physical Examination Center of the Affiliated Hospital of Southwest Medical University. The content of this dataset involves 32 variables for 2635 people, with whether or not they have MAFLD as the ending, and the rest are various laboratory and anthropometric indicators, and the table does not involve missing data.
description: This dataset is the 2024 physical examination data of the elderly population in the Physical Examination Center of the Affiliated Hospital of Southwest Medical University. The content of this dataset involves 32 variables for 2635 people, with whether or not they have MAFLD as the ending, and the rest are various laboratory and anthropometric indicators, and the table does not involve missing data.
DOI: 10.57760/sciencedb.26207
title: Supplementary dataset to Zhang et al. "Intra-oceanic arc subduction within the Meso-Tethys Ocean constrained by arc crust remnants in the Lagkorco ophiolite, Central Tibet"
title: Supplementary dataset to Zhang et al. "Intra-oceanic arc subduction within the Meso-Tethys Ocean constrained by arc crust remnants in the Lagkorco ophiolite, Central Tibet"

description: Supplementary Tables S1 to S7 provide the complete datasets for this work.
description: Supplementary Tables S1 to S7 provide the complete datasets for this work.
DOI: 10.57760/sciencedb.26205
title: 2025 Large Model Fine-Tuning Dataset for Multidimensional Intelligent Scoring of Resumes
title: 2025年面向简历多维度智能评分的大模型微调数据集

description: This dataset is a large-scale text dataset for resume intelligent analysis and automatic scoring tasks for job seekers and recruiters, aiming to support the fine-tuning and application of large language models in talent assessment, job matching and recruitment automation scenarios. The dataset contains detailed information of Chinese job-seeker resumes, covering key fields such as age, gender, years of work experience, education, graduation institution, majors studied, and self-introduction, and is suitable for a variety of tasks such as natural language processing (NLP), information extraction, semantic understanding, and scoring prediction.
description: This dataset is a large-scale text dataset for resume intelligent analysis and automatic scoring tasks for job seekers and recruiters, aiming to support the fine-tuning and application of large language models in talent assessment, job matching and recruitment automation scenarios. The dataset contains detailed information of Chinese job-seeker resumes, covering key fields such as age, gender, years of work experience, education, graduation institution, majors studied, and self-introduction, and is suitable for a variety of tasks such as natural language processing (NLP), information extraction, semantic understanding, and scoring prediction.
DOI: 10.57760/sciencedb.xbyxb.00094
title: "Optimization of the Outflow Pipeline Direction and Blood Flow Velocity of the Left ventricular Assist Device" attached figure
title: “左心室辅助装置流出管道方向和血流流速的优化”附图

description: Based on Mimics software, a 3D reconstruction model in stereolithography STL format was roughly constructed using specific patient's left end diastolic CT images. Optimize the model using Solidworks software. Based on the geometric dimensions of Corheart 6 LVAD, redraw the geometry of LVAD IC using Solidworks software. Generate computational grids using ANSYS software. The left ventricular model is meshed using unstructured grids. Modify the total number of grids by reducing the grid size. Three grid models of 1.08 million, 1.54 million, and 2.1 million units were used to further verify grid independence. The process of model reconstruction is shown in Figure 1. 
description: Based on Mimics software, a 3D reconstruction model in stereolithography STL format was roughly constructed using specific patient's left end diastolic CT images. Optimize the model using Solidworks software. Based on the geometric dimensions of Corheart 6 LVAD, redraw the geometry of LVAD IC using Solidworks software. Generate computational grids using ANSYS software. The left ventricular model is meshed using unstructured grids. Modify the total number of grids by reducing the grid size. Three grid models of 1.08 million, 1.54 million, and 2.1 million units were used to further verify grid independence. The process of model reconstruction is shown in Figure 1.