cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ywg2zdxn43.2
title: LINF_050008900

description: Protein kinase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/jg4ft9vcxp.1
title: Dataset: Mixed plantations enhance soil aggregation and carbon storage: A global meta-analysis

description: Afforestation is considered an important means for mitigating global warming by effectively sequestering atmospheric carbon dioxide. Multispecies plantations may enhancing soil carbon (C) storage more efficiently than monoculture plantations. Soil aggregation is crucial for improving soil structural stability and facilitating C sequestration within terrestrial ecosystems. But the specific mechanisms elucidating soil aggregates and soil C dynamics respond to mixed plantations are not fully understood. We conducted a comprehensive global dataset by searching all peer-reviewed articles that reported the effects of species mixture on soil aggregation and aggregate C using the Web of Science, Google Scholar, and the China National Knowledge Infrastructure (CNKI) databases until April 2023. Moreover, considering the importance of soil microbes in C dynamics, we also gathered reports on microbial community responses to enhance our understanding of the mechanisms of species mixing driving soil aggregation. The "data1" sheet of the Excel file named "dataset_S1_Li et al.xlsx" displays the impact of species mixing on soil aggregates and aggregate C, while the "data2" sheet displays microbial data that matches soil aggregate data for correlation analysis The Excel table with the file name "dataset_S2_Li et al.xlsx" displays data on the effects of species mixing on other soil properties, soil microorganisms, and enzyme activities.
DOI: 10.17632/jg4ft9vcxp.2
title: Dataset: Mixed plantations enhance soil aggregation and carbon storage: A global meta-analysis

description: Afforestation is considered an important means for mitigating global warming by effectively sequestering atmospheric carbon dioxide. Multispecies plantations may enhancing soil carbon (C) storage more efficiently than monoculture plantations. Soil aggregation is crucial for improving soil structural stability and facilitating C sequestration within terrestrial ecosystems. But the specific mechanisms elucidating soil aggregates and soil C dynamics respond to mixed plantations are not fully understood. We conducted a comprehensive global dataset by searching all peer-reviewed articles that reported the effects of species mixture on soil aggregation and aggregate C using the Web of Science, Google Scholar, and the China National Knowledge Infrastructure (CNKI) databases until April 2023. Moreover, considering the importance of soil microbes in C dynamics, we also gathered reports on microbial community responses to enhance our understanding of the mechanisms of species mixing driving soil aggregation. The "data1" sheet of the Excel file named "dataset_S1_Li et al.xlsx" displays the impact of species mixing on soil aggregates and aggregate C, while the "data2" sheet displays microbial data that matches soil aggregate data for correlation analysis The Excel table with the file name "dataset_S2_Li et al.xlsx" displays data on the effects of species mixing on other soil properties, soil microorganisms, and enzyme activities.
DOI: 10.17632/jg4ft9vcxp.3
title: Dataset: Mixed plantations enhance soil aggregation and carbon storage: A global meta-analysis

description: Afforestation is considered an important means for mitigating global warming by effectively sequestering atmospheric carbon dioxide. Multispecies plantations may enhancing soil carbon (C) storage more efficiently than monoculture plantations. Soil aggregation is crucial for improving soil structural stability and facilitating C sequestration within terrestrial ecosystems. But the specific mechanisms elucidating soil aggregates and soil C dynamics respond to mixed plantations are not fully understood. We conducted a comprehensive global dataset by searching all peer-reviewed articles that reported the effects of species mixture on soil aggregation and aggregate C using the Web of Science, Google Scholar, and the China National Knowledge Infrastructure (CNKI) databases until April 2023. Moreover, considering the importance of soil microbes in C dynamics, we also gathered reports on microbial community responses to enhance our understanding of the mechanisms of species mixing driving soil aggregation. The "data1" sheet of the Excel file named "dataset_S1_Li et al.xlsx" displays the impact of species mixing on soil aggregates and aggregate C, while the "data2" sheet displays microbial data that matches soil aggregate data for correlation analysis The Excel table with the file name "dataset_S2_Li et al.xlsx" displays data on the effects of species mixing on other soil properties, soil microorganisms, and enzyme activities.
DOI: 10.17632/jg4ft9vcxp.4
title: Dataset: Mixed plantations enhance soil aggregation and carbon storage: A global meta-analysis

description: Afforestation is considered an important means for mitigating global warming by effectively sequestering atmospheric carbon dioxide. Multispecies plantations may enhancing soil carbon (C) storage more efficiently than monoculture plantations. Soil aggregation is crucial for improving soil structural stability and facilitating C sequestration within terrestrial ecosystems. But the specific mechanisms elucidating soil aggregates and soil C dynamics respond to mixed plantations are not fully understood. We conducted a comprehensive global dataset by searching all peer-reviewed articles that reported the effects of species mixture on soil aggregation and aggregate C using the Web of Science, Google Scholar, and the China National Knowledge Infrastructure (CNKI) databases until April 2023. Moreover, considering the importance of soil microbes in C dynamics, we also gathered reports on microbial community responses to enhance our understanding of the mechanisms of species mixing driving soil aggregation. The "data1" sheet of the Excel file named "dataset_S1_Li et al.xlsx" displays the impact of species mixing on soil aggregates and aggregate C, while the "data2" sheet displays microbial data that matches soil aggregate data for correlation analysis The Excel table with the file name "dataset_S2_Li et al.xlsx" displays data on the effects of species mixing on other soil properties, soil microorganisms, and enzyme activities.
DOI: 10.25574/29706
title: Chandra X-ray Observatory ObsId 29706

description: Time-resolved protoplanetary disk physics in DQ Tau
DOI: 10.25574/29707
title: Chandra X-ray Observatory ObsId 29707

description: Time-resolved protoplanetary disk physics in DQ Tau
DOI: 10.17632/mkwstv8rxx.1
title: Data for: Multiple spin reorientation transitions in Ga3+-substituted DyCrO3

description: XRD ang MT data
DOI: 10.17632/wc2ts3r6dd.1
title: Outer radial glia promotes white matter regeneration after neonatal brain injury. Jinnou et al.

description: There are 9 excel files about all data of Figure 1 to 7, Figure S1 to S7, and Table S2.
DOI: 10.15468/dl.vysqsk
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-134.87331 13.11360,-65.93040 13.11360,-65.93040 40.69076,-134.87331 40.69076,-134.87331 13.11360))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corythaica Stål, 1873"
 ]
}

 The dataset includes 96 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003138-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fzf6c
title: Occurrence Download

description: A dataset containing 555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Terminalia muelleri Benth.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 555 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003078-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30815
title: Chandra X-ray Observatory ObsId 30815

description: A TREASURY SURVEY PROBING THE BARYON & ENERGY CYCLE AND X-RAY BINARY EVOLUTION IN GALAXIES AT HIGH ANGULAR RESOLUTION
DOI: 10.25574/30817
title: Chandra X-ray Observatory ObsId 30817

description: A TREASURY SURVEY PROBING THE BARYON & ENERGY CYCLE AND X-RAY BINARY EVOLUTION IN GALAXIES AT HIGH ANGULAR RESOLUTION
DOI: 10.17632/2r8367vkpm.1
title: A Unique Feature Based Classifier for Bangla Currency using Deep Learning

description: A carefully prepared custom dataset containing a wide range of situations and denominations of 10- to 1000 Taka notes ensures that the approach is applicable and useful in the real world. The particular combination of YOLOv8 with ResNet-50 achieves outstanding results, with an amazing 99.82% accuracy in currency detection as well as classification. Extensive studies highlight the system's reliability in a wide range of external circumstances, demonstrating its potential for revolutionary currency identification in areas such as economic activity, financial transactions, and more. This particular study marks a new maturity in currency recognition. This is an important shift towards improved accuracy, sustainability, and general effectiveness in Bangladeshi notes of currency detection and classification in modern life.
DOI: 10.17632/2rrtykd2tp.1
title: LINF_090008200

description: BUD31-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/z9t925zbtr.1
title: LINF_090008300

description: MFS family transporter; Leishmania infantum (strain JPCM5)
DOI: 10.17632/3sx2rphkxh.1
title: LINF_090008600

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/m4sf9k8jfd.1
title: LINF_090008900

description: CHASE domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/hcgp8nxhvw.1
title: LINF_090009300

description: DNA photolyase; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.b2wda6
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microcephala subglobosa (Krasch.) Pobed."
 ]
}

 The dataset includes 29 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003139-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b5vzh572sr.1
title: LINF_090009400

description: Ankyrin repeat-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/3fz2n5xgvf
title: Rawdata of Fei Lv's study

description: Rawdata of Fei Lv's study
DOI: 10.17632/3fz2n5xgvf.1
title: Rawdata of Fei Lv's study

description: Rawdata of Fei Lv's study
DOI: 10.17632/h9zhph34k5.1
title: Instantaneous thermoacoustic acquisition and data processing

description: The acoustic power measurement system described in this study has two main components: (i) the real-time data-acquisition system that measures the pressure both in the compliance (P_C) and the resonator (P_E) and (ii) the data-processing system, which scales and filters the measurements and then calculates the power delivered to the load. MATLAB files.
DOI: 10.17632/h9zhph34k5.2
title: Instantaneous thermoacoustic acquisition and data processing

description: The acoustic power measurement system described in this study has two main components: (i) the real-time data-acquisition system that measures the pressure both in the compliance (P_C) and the resonator (P_E) and (ii) the results obtained using the methods described in paper "Novel Real-Time Acoustic Power Estimation for Dynamic Thermoacoustic Control". MATLAB files.
DOI: 10.17632/82s95xg96p.1
title: Investigation of illness acceptance, health perception and hopelessness levels in stroke survivors: A cross-sectional and correlational study

description: The data were analyzed with SPSS 21.0 software. The Kolmogorov-Smirnov test was used to test the normality of the scale scores. Since the data were not normally distributed, Mann-Whitney U test was used for the difference analysis of binary independent variables, and One-Way ANOVA and Kruskal-Wallis tests were used for the difference analysis of multiple variables (p&lt;0.05). When a significant difference was found in the ANOVA test, the LSD post hoc test was used to determine which groups the difference was between. Mann-Whitney U pairwise comparison test was used in the Kruskal-Wallis H test. Spearman's Rho correlation test was used to analyze the relationship between the scales. Confidence range was determined as 95% (p&lt;0.05). Linear regression analysis was used to determine the regression between variables (p&lt;0.05). Two regression models were developed by considering each of the values of acceptance and hopelessness as independent variables.
DOI: 10.15468/dl.nm74sr
title: Occurrence Download

description: A dataset containing 1140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetradium daniellii (Benn.) T.G.Hartley)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1140 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003140-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uz9ucu
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copiapoa cinerascens (Salm-Dyck) Britton & Rose"
 ]
}

 The dataset includes 129 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003141-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sckpzxsrht.1
title: Silicon Carbide's Influence on A356 Aluminum Alloy Composites: Mechanical, Thermal, Corrosion, and Microstructural Properties

description: This dataset supports research on the effects of silicon carbide (SiC) reinforcement on A356 aluminum alloy composites, focusing on mechanical, thermal, corrosion, and microstructural properties. It includes experimental data, tables, figures, and analysis on how SiC content influences tensile strength, yield strength, elastic modulus, thermal conductivity, and corrosion resistance. The dataset provides valuable insights for aerospace, automotive, and medical industries where high strength, stability, and corrosion resistance are critical.
DOI: 10.17632/sckpzxsrht.2
title: Silicon Carbide's Influence on A356 Aluminum Alloy Composites: Mechanical, Thermal, Corrosion, and Microstructural Properties

description: This dataset supports research on the effects of silicon carbide (SiC) reinforcement on A356 aluminum alloy composites, focusing on mechanical, thermal, corrosion, and microstructural properties. It includes experimental data, tables, figures, and analysis on how SiC content influences tensile strength, yield strength, elastic modulus, thermal conductivity, and corrosion resistance. The dataset provides valuable insights for aerospace, automotive, and medical industries where high strength, stability, and corrosion resistance are critical.
DOI: 10.17632/jpbnkh4dbs.1
title: Human Enjoyment in Tactile Interaction with Horses and Dogs: A Comparative Study

description: Animal-assisted interventions (AAI) are increasingly being integrated into human healthcare services due to their demonstrated positive impacts on mental and physical health. This research involved two separate experiments with 10 therapy horses and 18 therapy dogs. In both studies, the effect of touch treatments was assessed on human heart rate (HR), heart rate variability (HRV) and positive emotional responses evaluated by the Positive Affect Scale (PAS) survey representing three categories: activated, relaxed and safe. The experiment involving horses also explored the effect of human experience with horses on human HR, HRV and PAS categories. Forty-nine human participants interacted with horses (4/participant), and 44 participants interacted with dogs (1-4/participant) individually. The interactions occurred under two treatments: forced touch (animals were restricted and required to interact) and consensual touch (animals were free and could voluntarily choose to interact). Each participant's HR and HRV were recorded using a heart rate monitor. Each horse was equipped with a heart rate monitor. After each treatment, participants completed the PAS survey on a scale of 1-5, where 1 indicated “did not feel this way at all” and 5 indicated “felt this way very much”. A GLIMMIX model with repeated measures was used for statistical analysis, and Pearson correlations analyzed the relationship between human and horse HR. During forced touch interactions with horses, human HR was higher (p = .0001) and HRV (p = .0065) was lower compared to consensual touch interactions. Human experience with horses did not affect HR (p = .3043) or HRV (p = .1366) during human-horse touch interactions, but it did influence responses on the PAS survey, with more experienced participants reporting a lower "activated" (p = .0058) and higher "relaxed" (p = .0275) and "safe" (p = .0343) feelings compared to participants with less horse experience. No correlation was determined between human and horse HR (r = 0.09). In the dog study, human HR (p = .2513) and HRV (p = .1691) did not differ between the two touch treatments during human-dog interactions. Touch treatment did not influence PAS scores in either human-horse (all p &gt; .1373) or human-dog (all p &gt; .0953) touch treatments. Participants perceived interactions with dogs more positively than with horses, as indicated by the descriptive comparison of PAS scores across the two studies. The findings suggest that providing horses with the choice to interact with humans may affect participants' cardiac arousal, while no such impact was observed in human cardiac responses during interactions with dogs. These findings indicate that the influence of choice on human response may vary depending on the animal species involved. Understanding the species-specific variations is crucial for maximizing the success and effectiveness of AAI programs
DOI: 10.17632/ry7phxn4js.1
title: Large Language Models in Materials Science: Evaluating RAG Performance in Graphene Synthesis Using RAGAS

description: Retrieval-Augmented Generation (RAG) systems show promise for specialized scientific domains, but their effectiveness depends on reliable evaluation frameworks. This study assesses the RAGAS framework for evaluating RAG-LLM performance in materials science, focusing on graphene synthesis. We curated a dataset of 100 graphene research papers and developed a test suite comparing a RAG-LLM against both a domain expert and baseline Large Language Models (LLMs) using three key evaluation metrics: Factual Correctness (FC), Context Relevance (CR), and Faithfulness (FF). These metrics, scaled from 0 to 1 with higher values indicating better performance, assess factual accuracy, contextual relevance to the query, and adherence to retrieved sources, respectively. The RAG-LLM achieved moderate factual accuracy (FC=0.43, σ=0.27) but demonstrated strong context relevance (CR=0.80, σ=0.40) and high faithfulness to sources (FF=0.86, σ=0.25). While the expert demonstrated superior factual accuracy (FC=0.51) and context relevance (CR=0.82), the lower faithfulness score (FF=0.62) revealed a tendency to incorporate knowledge beyond provided contexts. Baseline LLMs performed significantly worse (FC=0.13, σ=0.14), highlighting the value of retrieval augmentation. These results validate RAGAS as an effective evaluation framework for materials science RAG-LLM applications while revealing important limitations in current RAG systems' ability to process domain-specific knowledge. Our findings establish a foundation for evaluating RAG systems in scientific domains and identify key areas for improvement in both evaluation metrics and RAG implementation.
DOI: 10.17632/zmz2nv7hw8.1
title: Ten-Year Cross-Sectional Study Data

description: This dataset contains the raw data used in the study "Ten-Year Trend of Dental Emergency Visits in China: A Cross-Sectional Study", submitted to JAMA Network Open. The dataset includes dental emergency visit records collected from Shanghai Ninth People's Hospital, the largest dental emergency center in China, covering a ten-year period (2011-2020).
DOI: 10.17632/mhwyw5tkcm.1
title: Can Property Tax Curb Housing Costs in China? New Insights from Chongqing with Bayesian Synthetic Control

description: Replication Files for "Can Property Tax Curb Housing Costs in China? New Insights from Chongqing with Bayesian Synthetic Control" by Jinyu ZHANG, Yinghan TANG, Tianyi LIU and Yuan ZHANG

This folder contains the following files and subfolders:
The main folder contains the primary simulation and empirical computation programs.

S1.R-S8.R are R code for simulations scenario S1- S8, respectively which is under the environment "R version 4.2.2 (2022-10-31 ucrt)", and the random number generation method "Mersenne-Twister" "Inversion" " Rejection".

 empirical.R is R code for Empirical study, which is under the environment "R version 4.0.5 (2021-03-31)", and the random number generation method "Mersenne-Twister" "Inversion" "Rounding". 

Despite setting the random seed, variations in different versions of R and differences in random number generation methods may cause slight differences in the results. In our study, these variations typically occur at the 1% level and do not affect my conclusions.

Since running the programs takes a long time, we have stored the results in the data folder. The result folder includes scripts for reproducing all the figures and tables in the paper. For Table 1, simply run t1.R. For Figure 1, simply run f1.R, and so on. 

Note: Before running any .R files, please make sure to update your file paths accordingly. bscm-master is a subfolder containing Rstan code and data needed to replicate simulation and empirical results. 

Please make sure to update the file path in the code above to reflect the location of this folder. The first time you run RStan, it may be slow because RStan is configuring the .rds files on your machine.
DOI: 10.17632/kzw5vty8x2.1
title: Immersive Language Learning for Specific Purposes in Higher Education: Preparing Students for Real-World Challenges

description: Firstly, quantitative data were collected from pre- and post-questionnaires from Irish and Spanish students, with Likert scale items ranging from 7 (“Completely agree”) to 1 ( “Completely agree”). The qualitative data were collected through the reflections from Irish students’ blogs. The total number of reflections obtained from the 21 students enrolled in the course were 63. Three interviews were conducted with the Irish students after their participation in the VE and the completion of their subsequent internships. The qualitative data collected from the blogs and interviews were analysed through thematic analysis via NVivo 14.
DOI: 10.17632/8fjv39spyd.1
title: QTNano/SabiM - Role of Jahn-Teller distortion in the relative stability between the black and yellow phases of transition metal doped CsSnI3 perovskites, physical review B 109, 014106 (2024)

description: Raw data of the published paper - https://doi.org/10.1103/PhysRevB.109.014106