cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6wunkx
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exerodonta juanitae"
 ]
}

 The dataset includes 46 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020058-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cmm66gwbbt
title: data share

description: data in simulation analysis and prediction model of curing deformation for CFRP/UHMWPE hybrid composite thin-walled special-shaped pipe
DOI: 10.17632/cmm66gwbbt.1
title: data share

description: data in simulation analysis and prediction model of curing deformation for CFRP/UHMWPE hybrid composite thin-walled special-shaped pipe
DOI: 10.17632/z6sg8rzhxb.1
title: Distinct contributions and sensorimotor encoding of PV and FoxP2 neurons in the external globus pallidus during perceptual decision-making

description: Dataset for the study by Pu and Ren et al., "Distinct contributions and sensorimotor encoding of PV and FoxP2 neurons in the external globus pallidus during perceptual decision-making"
DOI: 10.17632/t7j3tmcys4
title: The anonymized data and analysis scripts for DM prediction in GC

description: Distant metastasis (DM) of gastric cancer (GC) represents a significant health challenge due to its high mortality rates, necessitating advancements in early detection and management strategies. The objective of this study was to create a machine learning (ML) model that is interpretable for preoperative prediction of DM in GC.We retrospectively analyzed 1,009 GC patients, of which 769 were from Zhejiang Cancer Hospital as development cohort and 240 from Zhejiang Provincial Hospital of Traditional Chinese Medicine as external test cohort. Nine clinical features， and four composite indices derived from ten laboratory indicators were selected as candidate features. The dataset was balanced using the borderline Synthetic Minority Over-sampling Technique (SMOTE) and the Edited Nearest Neighbors (ENN) under-sampling method. Univariate and multivariate analyses were used to identified key metastasis-related features. Based on the identified features, we developed predictive models incorporating five ML algorithms, with performance evaluated via receive operating characteristic (ROC) curves, recall, precision-recall (PR) curves. Ultimately, Shapley additive explanations (SHAP) analysis were applied to rank the feature importance and explain the final model.
DOI: 10.17632/t7j3tmcys4.1
title: The anonymized data and analysis scripts for DM prediction in GC

description: Distant metastasis (DM) of gastric cancer (GC) represents a significant health challenge due to its high mortality rates, necessitating advancements in early detection and management strategies. The objective of this study was to create a machine learning (ML) model that is interpretable for preoperative prediction of DM in GC.We retrospectively analyzed 1,009 GC patients, of which 769 were from Zhejiang Cancer Hospital as development cohort and 240 from Zhejiang Provincial Hospital of Traditional Chinese Medicine as external test cohort. Nine clinical features， and four composite indices derived from ten laboratory indicators were selected as candidate features. The dataset was balanced using the borderline Synthetic Minority Over-sampling Technique (SMOTE) and the Edited Nearest Neighbors (ENN) under-sampling method. Univariate and multivariate analyses were used to identified key metastasis-related features. Based on the identified features, we developed predictive models incorporating five ML algorithms, with performance evaluated via receive operating characteristic (ROC) curves, recall, precision-recall (PR) curves. Ultimately, Shapley additive explanations (SHAP) analysis were applied to rank the feature importance and explain the final model.
DOI: 10.17632/w369wnxbt6.3
title: Dataset for taxonomic and functional profiling of metagenome grown in activated sludge of pulp-paper mill wastewater treatment system

description: The complex nature of pollutants and the functional potential of microbial communities thriving in the activated sludge of pulp-paper mill wastewater treatment system remain poorly studied. Activated sludge samples were randomly collected from five different locations within the aeration tanks and combined to form a composite sample for further analysis. Physicochemical characterization and GC-MS analysis of the sludge samples revealed the presence of heavy metals and various chloroorganic pollutants. Simultaneously, high-throughput sequencing (HTS) of the V3–V4 hypervariable region of the 16S rRNA genes derived from the collected sludge sample was performed on the Illumina MiSeq platform. The present dataset includes raw sequencing data (FASTQ files), analysis reports, OUT Table, pie charts, rarefaction curve, and a Krona chart. Additionally, it provides functional annotation tables derived from KEGG, EC, and MetaCyc databases using PICRUSt2 analysis. Taxonomic analysis of the metagenomic sequence data revealed that Proteobacteria was the dominant phylum in the sludge. In addition, other phyla, such as Bacteriodetes, Acidobacteria, Planctomycetes, Chlorolfexi, Actinobacteria, and Verrucomicrobia, were also recorded within the range between 13.27% and 4.1% in sludge. At the genus and species levels, the most abundant genus was an unclassified member (3.62%) of the family Rhodospirillaceae. This unclassified communities could be target taxa in future classification. PICRUSt2-based functional annotation identified a variety of genes, enzymes, and metabolic pathways associated with microbial adaptation and survival in stress-prone environments. This research provides valuable insights into the nature of organic and inorganic pollutants, the composition of bacterial communities, and their potential functional roles in chlorolignin waste-contaminated environments. Future research should focus on the isolation and enrichment of the promising microbial species characterized in this study, as they hold significant potential for developing effective in situ bioremediation strategies
DOI: 10.17632/3x3snktjmj
title: Proteomics data

description: Mass spectrometry raw data and search database and analyze results
DOI: 10.17632/3x3snktjmj.1
title: Proteomics data

description: Mass spectrometry raw data and search database and analyze results
DOI: 10.7910/dvn/vulc7m
title: Replication Data for: Population Displacement and State-Building: The Legacies of Pashtun Resettlement in Afghanistan

description: Population displacement is a prominent state-building strategy. States sponsor the resettlement of racial, ethnic, or linguistic groups using either force or incentives to consolidate territorial control. We evaluate the long-run consequences of large-scale displacement analyzing a historical episode in Afghanistan: the relocation of Pashtun communities during the rule of Emir Abd-al Rahman. Using historical records, we reconstruct the map of relocated tribes to identify contemporary settlements that are connected to the original displaced settlements. We analyze novel, microlevel survey data on more than 80,000 subjects to study how contemporary attitudes towards the central government, the Taliban, and identity salience differ across co-ethnic communities separated by the Emir's state-building effort. We argue that under conditions that are common in many historical cases, settlers develop regional political identities that are neither ethnocentric, pro-central state, nor focused on national identity. We show that the long-term consequences of the state-led resettlement of Pashtuns to northern Afghanistan are stronger attachments to regional government and local institutions, with greater hostility towards the central government and the Taliban relative to Pashtuns in the south and east.
DOI: 10.17632/7y5jrzcd56
title: Radiological Predictors of Surgical Intervention and Hospital Outcomes in Paediatric Subperiosteal Orbital Abscess

description: Radiological Predictors of Surgical Intervention in Paediatric Subperiosteal Orbital Abscess
DOI: 10.17632/7y5jrzcd56.1
title: Radiological Predictors of Surgical Intervention and Hospital Outcomes in Paediatric Subperiosteal Orbital Abscess

description: Radiological Predictors of Surgical Intervention in Paediatric Subperiosteal Orbital Abscess
DOI: 10.17632/gtt9wr8dmk
title: Research Data

description: Original data for the manuscript: "Dynamic Variability of CO2 Emissions from Agricultural Canal-Lake Systems in Cold and Arid Regions"
DOI: 10.17632/gtt9wr8dmk.1
title: Research Data

description: Original data for the manuscript: "Dynamic Variability of CO2 Emissions from Agricultural Canal-Lake Systems in Cold and Arid Regions"
DOI: 10.17632/fy4nppvx6v.3
title: Revised Oceanic Mo Isotope Budget from Deep-Sea Pelagic Sediments

description: The tables provide comprehensive data on Mo isotopes, as well as the major and trace element compositions of deep-sea sediments from the Western Pacific Ocean, specifically cores GC112 and XT19. They also present Mo concentrations and their relative proportions in each extraction phase (derived from sequential extractions), as well as Mo isotope distributions within the Fe-Mn (hydro)oxide fractions of the GC112 and XT19 cores. Additionally, published data on Mo content, δ⁹⁸Mo values, and related geochemical parameters in global pelagic sediments are included for comparison.
DOI: 10.17632/4b8t8p7f62
title: Dataset for "Enhanced Arctic sea-ice retreat due to pronounced Pacificization effect in the Holocene"

description: Data file 1 shows the measured data of core LV77-36-1 used in this study, including the Age model, biomarker dataset,diatom species. Data file 2 shows the referenced data in Supplementary Table 1, including the paleo-climate evidences used in this study from 22 referenced sites. Data file 3 shows the referenced data in Supplementary Table 2, including the complication of paleo-sea ice records in this study from the circum-Arctic regions.
DOI: 10.17632/4b8t8p7f62.2
title: Dataset for "Enhanced Arctic sea-ice retreat due to pronounced Pacificization effect in the Holocene"

description: Data file 1 shows the measured data of core LV77-36-1 used in this study, including the Age model, biomarker dataset,diatom species. Data file 2 shows the referenced data in Supplementary Table 1, including the paleo-climate evidences used in this study from 22 referenced sites. Data file 3 shows the referenced data in Supplementary Table 2, including the complication of paleo-sea ice records in this study from the circum-Arctic regions.
DOI: 10.17632/2dj6bg3jr7
title: Allocative implications of government investment in private sector

description: Replication files for the results reported in the paper "Allocative implications of government investment in private sector" by Lili Lian and Jingyi Zhang [Journal of Development Economics].
DOI: 10.17632/2dj6bg3jr7.1
title: Allocative implications of government investment in private sector

description: Replication files for the results reported in the paper "Allocative implications of government investment in private sector" by Lili Lian and Jingyi Zhang [Journal of Development Economics].
DOI: 10.17632/5zv8xr8wgb
title: Numerical modelling of purely active (plume-produced) continental rifting and break-up

description: The database contains .prm files formatted for ASPECT input, accompanied by ASCII files that define the initial temperature distributions.
DOI: 10.17632/5zv8xr8wgb.1
title: Numerical modelling of purely active (plume-produced) continental rifting and break-up

description: The database contains .prm files formatted for ASPECT input, accompanied by ASCII files that define the initial temperature distributions.
DOI: 10.15468/dl.fbpasa
title: Occurrence Download

description: A dataset containing 15585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Frangula californica"
 ]
}

 The dataset includes 15585 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020059-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fvdjdm44cn
title: APE1 redox inhibitors regulate mitochondrial homeostasis and apoptosis to improve allergic rhinitis

description: mRNA sequencing results identified epithelial cell apoptosis and mitochondrial dysfunction as the crucial process that APE1 inhibitors regulate.
DOI: 10.17632/fvdjdm44cn.1
title: APE1 redox inhibitors regulate mitochondrial homeostasis and apoptosis to improve allergic rhinitis

description: mRNA sequencing results identified epithelial cell apoptosis and mitochondrial dysfunction as the crucial process that APE1 inhibitors regulate.
DOI: 10.15468/dl.e9fj8u
title: Occurrence Download

description: A dataset containing 29074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Urocyon cinereoargenteus"
 ]
}

 The dataset includes 29074 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020060-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jkwhf3ys6z
title: Burnout in Entrepreneurs Predicted by Stress and Harmonious Passion

description: This study investigated how passion, perceived stress, and work addiction influence burnout among Hungarian entrepreneurs within the Job Demands-Resources model. Using data from 184 participants, researchers measured burnout, passion, stress, and work addiction with validated Hungarian scales. Results showed that work addiction and stress were positively related to burnout, while harmonious passion was negatively related. The final model revealed that harmonious passion and perceived stress were the strongest predictors, explaining 54.4% of burnout variance. These findings suggest that fostering harmonious passion may help protect entrepreneurs from stress-related burnout.
DOI: 10.17632/jkwhf3ys6z.1
title: Burnout in Entrepreneurs Predicted by Stress and Harmonious Passion

description: This study investigated how passion, perceived stress, and work addiction influence burnout among Hungarian entrepreneurs within the Job Demands-Resources model. Using data from 184 participants, researchers measured burnout, passion, stress, and work addiction with validated Hungarian scales. Results showed that work addiction and stress were positively related to burnout, while harmonious passion was negatively related. The final model revealed that harmonious passion and perceived stress were the strongest predictors, explaining 54.4% of burnout variance. These findings suggest that fostering harmonious passion may help protect entrepreneurs from stress-related burnout.
DOI: 10.15468/dl.kjb4qk
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cymbella, Cymbella aspera, Cymbella cymbiformis, Cymbella kolbei, Cymbella neocistula, Cymbella subleptoceros, , , Cymbella naviculiformis, Denticula subtilis, Denticula, Denticula sundaysensis, Desmococcus, , Diadesmis, , Diatoma, Diatoma vulgaris, Dichothrix, Dicranochaete, Dinobryon, Diploneis, , Diploneis oblongella, , Discostella, Elakatothrix, Encyonema, Cymbella mesiana, , Encyonema neogracile, , Encyonema ventricosum, Encyonopsis, Encyonopsis leei, Cymbella raytonensis, Encyonopsis subminuta, Entomoneis, Eolimna, Eolimna subminuscula, , Epithemia, , Euglena gracilis, Euglena, Eunotia, Eunotia bilunaris, Eunotia exigua, , Eunotia formica, Eunotia incisa, Eunotia minor, Eunotia rhomboidea, Eutreptiella, , Fistulifera saprophila, Fistulifera, Fottiella, Fragilaria, Fragilaria biceps, Fragilaria crotonensis, Pseudostaurosira, Fragilaria capucina, Synedra, , Navicula crassinervia, Rhopalodia, Frustulia rostrata, Frustulia saxonica, Frustulia, , Geissleria decussis, Geissleria, Geminella, Gloeocapsa, Gloeocystis, Gloeothece, Gomphonema, Gomphonema acuminatum, , Gomphonema angusta, Gomphonema truncatum, Gomphonema clavatum, Gomphonema exilissimum, Gomphonema insigne, Gomphonema italicum, Gomphonema lagenula, Gomphonema laticollum, Gomphonema minutum, Gomphonema parvulum, Gomphonema pseudoaugur, Gomphonema vibrio, Gomphonema venusta, Gongrosira, Gymnodinium, Gyrosigma, Gyrosigma acuminatum, Gyrosigma attenuatum, Gyrosigma rautenbachiae, Hantzschia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 47 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020062-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pyfv43zv8t
title: SPBE Governance in Data and Information Architecture Using Sustainable Tourism Dataset

description: This research dataset comes from RAD Tourism in Excel format containing sustainable tourism indicators. The dataset was then input into SIA-SPBE through the Data and Information Architecture module and mapped into four main classes: Destination, Marketing, Industry, and Institutional. Each class was further classified into domains and sub-indicators according to international standards (UNWTO, 2020; OECD, 2020). The results of this process were exported into four separate PDF files, each representing an indicator class: Tourism Destination.pdf, Tourism Marketing.pdf, Tourism Industry.pdf, and Institutional.pdf. With this structure, the dataset can be easily replicated, analyzed, and integrated into SPBE data governance.
DOI: 10.17632/pyfv43zv8t.1
title: SPBE Governance in Data and Information Architecture Using Sustainable Tourism Dataset

description: This research dataset comes from RAD Tourism in Excel format containing sustainable tourism indicators. The dataset was then input into SIA-SPBE through the Data and Information Architecture module and mapped into four main classes: Destination, Marketing, Industry, and Institutional. Each class was further classified into domains and sub-indicators according to international standards (UNWTO, 2020; OECD, 2020). The results of this process were exported into four separate PDF files, each representing an indicator class: Tourism Destination.pdf, Tourism Marketing.pdf, Tourism Industry.pdf, and Institutional.pdf. With this structure, the dataset can be easily replicated, analyzed, and integrated into SPBE data governance.
DOI: 10.17632/vf2sj5z66j
title: Replication Package for Discount Factors and Monetary Policy: Evidence from Dual-Listed Stocks (pseudo-data)

description: This replication package contains code and pseudo-data to reproduce the main tables and figures from “Discount Factors and Monetary Policy: Evidence from Dual-Listed Stocks.”
DOI: 10.17632/vf2sj5z66j.2
title: Replication Package for Discount Factors and Monetary Policy: Evidence from Dual-Listed Stocks (pseudo-data)

description: This replication package contains code and pseudo-data to reproduce the main tables and figures from “Discount Factors and Monetary Policy: Evidence from Dual-Listed Stocks.”
DOI: 10.17632/6r4czg6v86
title: Coarse Dust Emissions From Dry Playas: The Dominant Role of Saltation Bombardment Over Aerodynamic Entrainment

description: This dataset presents synchronous field measurements of aeolian saltation and dust emissions from two dry playa surfaces (R1 and R2) in the lower reaches of inland rivers in arid Northwest China. Wind profiles were obtained using six Onset HOBO anemometers (Bourne, MA, USA) mounted at heights of 0.22, 0.5, 0.8, 1.3, 2, and 3.3 m above ground in R1, and at 0.24, 0.56, 1, 1.48, 2.17, and 3.26 m in R2. Wind direction was recorded by wind vanes installed at 2.6 m (R1) and 3.26 m (R2), respectively. Wind speed and direction were logged at 1-min intervals using HOBO-U21 data loggers. Three-dimensional wind velocity was measured at 1 Hz with Gill ultrasonic anemometers positioned at 0.6 m and 2 m above the surface in both playas (data not used in this study). Aeolian saltation flux profiles were acquired using vertical arrays of Big Spring Number Eight (BSNE) sand traps. In R1, six traps were deployed at mid-inlet heights of 0.025, 0.155, 0.325, 0.635, 1.155, and 2.175 m; corresponding heights in R2 were 0.025, 0.14, 0.415, 0.725, 1.255, and 2.275 m. To minimize mutual interference during rotation, traps at 0.155 m (R1) and 0.14 m (R2) were horizontally offset from the main array. Non-rotating traps at 0.025 m were set flush with the surface to capture near-bed saltation flux. Saltation particle counts and kinetic energy profiles were measured using a vertical array of five Sensit H14-LIN impact sensors (1 Hz sampling rate) at geometric mean heights of 0.05, 0.12, 0.38, and 0.80 m, recorded with a Campbell CR1000 datalogger. Dust concentration profiles were monitored at 1 Hz using five DustTrak Aerosol Monitors (TSI Inc., model 8533EP) at heights of 0.2, 0.3, 0.6, 1, and 2 m (adjusted to 0.3, 0.6, 1, 2, and 3 m during two runs in R1 on 20240519). The instruments measured mass concentrations (range: 0.001–150 mg·m⁻³) for PM₁₅, PM₁₀, PM₄, PM₂.₅, and PM₁. Units with elevated error during pre-campaign performance tests were excluded. All dust and saltation measurements were synchronized. Instrument arrays were aligned orthogonal to the predominant sand-driving wind directions: ENE in R1 and WNW in R2. An inlet measurement point (N1) for dust emission rate using control volume method was constructed in the upwind of the main instrument array (N2) with a distance of 73.7 m. The R1 site extended approximately 94.5 m eastward from the toe of a barchan dune serving as a sand source. Field campaigns captured two dust events (May 19th and 20th, 2024) in R1 and three in R2 (May 25th , 26th, and 27th, 2024).