cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28414700.v3
title: <b>Dataset - Climate impacts on the multidiversity-multifunctionality relationship change with habitat type</b>

description: Extreme climatic events are expected to increase in frequency in the coming decades. However, it is largely unknown how these events will mediate the influence of multidiversity on ecosystem multifunctionality in different habitats. Here we conducted a manipulative field experiment to evaluate the impact of rainfall amount and frequency variation on freshwater multidiversity (macrofauna, microfauna, bacteria, and algae) and ecosystem multifunctionality in contrasting environments. For this, we used natural microcosms (tank bromeliads) as model systems in forest environments that differed in structural environmental heterogeneity. Rainfall amount affected the bromeliad's multifunctionality, but the outcome depended on the type of environment, the biodiversity component, and the dimension of the ecosystem multifunctionality (i.e., average, productivity or decomposition). Ecosystem functioning in the habitat with lower environmental heterogeneity was more sensitive to rainfall amount. Conversely, in the habitat with higher environmental heterogeneity, ecosystem functioning was more sensitive to biodiversity components. Our study brings new evidence of how climate change affects different dimensions of ecosystem functioning as mediated by multidiversity and its dependence on habitat properties. Our results improve the understanding of how global change can impact the multiple dimensions of biodiversity and ecosystem functioning in different habitat types.
DOI: 10.15468/dl.8xw5fq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fish collection of National Museum of Nature and Science",
 "Country is Croatia"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001976-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9wgpu
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NSW DPI Biosecurity Collections",
 "Country is Croatia"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001977-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5h28k2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Museum of Texas Tech University Invertebrate Zoology Collection",
 "Country is Croatia"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001978-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15519655
title: SEM-Based Morphological and Chemical Characterization of Particulate Matter in San Miguel de Tucumán (Aug 2019–Aug 2020)

description: The size and chemical composition of airborne particulate matter collected in the city of San Miguel de Tucumán between August 2019 and August 2020 were determined using Scanning Electron Microscopy (SEM).Samples were collected by passive sedimentation onto standardized adhesive tapes, and analyzed through SEM image processing. Particles were classified by size into Dust, PM₁₀, and PM₂.₅, and by chemical composition into silica-rich or terrigenous particles (PMT), and carbon-rich or carbonaceous particles (PMC).
DOI: 10.5281/zenodo.15520804
title: SEM-Based Morphological and Chemical Characterization of Particulate Matter in San Miguel de Tucumán (Aug 2019–Aug 2020)

description: The size and chemical composition of airborne particulate matter collected in the city of San Miguel de Tucumán between August 2019 and August 2020 were determined using Scanning Electron Microscopy (SEM).Samples were collected by passive sedimentation onto standardized adhesive tapes, and analyzed through SEM image processing. Particles were classified by size into Dust, PM₁₀, and PM₂.₅, and by chemical composition into silica-rich or terrigenous particles (PMT), and carbon-rich or carbonaceous particles (PMC).
DOI: 10.15468/dl.ttp9mf
title: Occurrence Download

description: A dataset containing 1478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.97057 21.99846,-98.97057 21.96973,-98.93585 21.96973,-98.93585 21.99846,-98.97057 21.99846))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1478 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001959-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpw8p3
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sceloporus lundelli Smith, 1939"
 ]
}

 The dataset includes 364 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001980-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7j7j6z
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sceloporus macdougalli Smith & Bumzahem, 1953"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001981-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhs5qy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fungal Internal Transcribed Spacer RNA (ITS) RefSeq Targeted Loci Project",
 "Country is Croatia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001985-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjxemk
title: Occurrence Download

description: A dataset containing 29430 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Selene vomer (Linnaeus, 1758)"
 ]
}

 The dataset includes 29430 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001982-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnw6mb
title: Occurrence Download

description: A dataset containing 233782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phyllostomidae"
 ]
}

 The dataset includes 233782 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001986-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6s3zez
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Michigan Museum of Zoology, Division of Insects",
 "Country is Croatia"
 ]
}

 The dataset includes 59 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001984-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15520685
title: Supplementary figure information for The shear Alfvén continuum of quasisymmetric stellarators
DOI: 10.5281/zenodo.15520686
title: Supplementary figure information for The shear Alfvén continuum of quasisymmetric stellarators
DOI: 10.15468/dl.yr5zku
title: Occurrence Download

description: A dataset containing 1292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is CC0 1.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus petraea (Matt.) Liebl.",
 "Year 2020-2025"
 ]
}

 The dataset includes 1292 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001983-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ejqvv
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Arizona State University Lichen Herbarium",
 "Country is Croatia"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001987-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjmty3
title: Occurrence Download

description: A dataset containing 1802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is IND.16.3_1",
 "TaxonKey is Pelecanus philippensis Gmelin, 1789",
 "Year 2023-2024"
 ]
}

 The dataset includes 1802 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001975-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8rpnp
title: Occurrence Download

description: A dataset containing 291440 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poeciliidae"
 ]
}

 The dataset includes 291440 records from 696 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001979-250525065834625/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.1110006.v1
title: Quantum Imagination Experiment

description: Quantum Imagination Experiment
DOI: 10.6084/m9.figshare.26308243.v1
title: Data_species_abundance

description: The dataset includes the list of species across different sites and the abundance of native and non-native species growing in association with the focal species, namely <i>Anthemis cotula</i>. Quadrat sampling was employed to record the abundance of native and non-native species growing in association with the focal species.<br>
DOI: 10.6084/m9.figshare.2067186.v1
title: Jackalope Image

description: A jackalope image used in the book "Data Science and Analytics with Python" by J Rogel-SalazarThe resolution is lower than that used in the book
DOI: 10.6084/m9.figshare.24297604.v1
title: input data

description: The input data for training network.More information can be seen from https://github.com/GISWLH/Transformer_GRACE
DOI: 10.6084/m9.figshare.27037941.v1
title: Examining the role of social influence, learning value and habit on students’ intention to use ChatGPT: the moderating effect of information accuracy in the UTAUT2 model

description: This study examined factors influencing students’ intention to use ChatGPT using UTAUT2 model. The cross-sectional study is based on responses collected from 578 students selected through convenience sampling at a university in Nepal through a structured questionnaire. Using PLS-SEM, the study found that habit (<i>β</i> = 0.315, <i>p</i> &lt; 0.001), learning value (<i>β</i> = 0.254, <i>p</i> &lt; 0.001), and social influence (<i>β</i> = 0.127, <i>p</i> &lt; 0.001) were the significant factors positively affecting students’ intention to use ChatGPT. In contrary, effort expectancy, hedonic motivation, facilitating conditions, and performance expectancy did not significantly influence intention to use. The study extended the UTAUT2 model by incorporating information accuracy as a moderating variable. However, information accuracy of ChatGPT did not moderate the hypothesized relationships. This study provides valuable insights for intention to use ChatGPT in education, with a unique focus on the moderating role of information accuracy. The findings offer practical implications for enhancing the adoption and effectiveness of AI tools in education, contributing significantly to the literature on educational technology.
DOI: 10.6084/m9.figshare.7484480.v7
title: New robust weighted averaging- and model-based methods for assessing trait-environment relationships: R-code

description: This is the R-code belonging to the paper <br>New robust weighted averaging- and model-based methods for assessing trait-environment relationships. <br>It contains two new methods, a new weighted averaging method and a new model-based method: 1. The new weighted averaging method combines site-level CWM with a species-level regression of Species Niche Centroids (SNC) on to the trait. The regressions are weighted by Hill's effective number (<i>N</i><sub>2</sub>) of occurrences of each species and the <i>N</i><sub>2</sub>-diversity of a site, and are subsequently combined in a sequential test procedure known as the max-test.2. Using the test statistics of these new methods, the permutation-based max test provides strong statistical evidence for trait-environment association in a plant community dataset, where existing methods show (very) weak evidence. The powers of the two new methods were similar in a simulation study based on this dataset.<br>
DOI: 10.6084/m9.figshare.9955268.v1
title: raw data for "Clinical impact of intraoperative hyperlactatemia during craniotomy"

description: raw data for tables 1-4 and figure 1 in PONE-D-19-23758 PLOS ONE article "Clinical impact of intraoperative hyperlactatemia during craniotomy"
DOI: 10.6084/m9.figshare.22659418.v1
title: Ordonez-Flores_etal_review_database

description: We conducted a literature review to understand the state of the art of knowledge of the advertisement calls of the anurans distributed in Mexican territory. We also did a bibliometric analysis to determine the publication trends for this topic in Mexico. For this, we followed the method presented by Guerra et al. (2018) with some modifications. For the literature review, we did a Boolean search for descriptions of the advertisement calls of Mexican anurans on some of the main scientific literature databases: Google Scholar (www.scholar.google.com), Scopus (https://www.scopus.com/), Web of Science (https://www.webofknowledge.com), and Scielo (https://scielo.org/es/).
DOI: 10.6084/m9.figshare.26380360.v1
title: Data sheet

description: <b>Morphological and molecular characterization of </b><b><i>Trichoderma</i></b><b> isolates from vegetable crop rhizospheres in Nepal </b>
DOI: 10.4121/19221450.v2
title: Condition Monitoring Data

description: 这是一个基于文献《预防性维护和备件库存与预约政策的联合优化》构建的零件劣化监测数值示例<br>This is a numerical example of parts deterioration monitoring constructed based on the literature "Preventive Maintenance and Joint Optimization of Spare Parts Inventory and Reservation Policy"<br>
DOI: 10.6084/m9.figshare.13513176.v1
title: REVISED RESULTS: Directional phyllotactic bias in calatheas (Goeppertia, Marantaceae): a citizen science approach

description: This folder contains all code and data needed to reproduce REVISED results in the manuscript "Directional phyllotactic bias in calatheas (Goeppertia, Marantaceae):a citizen science approach" by Benjamin Durrington, Fiona Chong, and Daniel H. Chitwood. The original figshare data and code (found at https://figshare.com/articles/dataset/Directional_phyllotactic_bias_in_Calathea_spp_Marantaceae_a_citizen_science_approach/13140434) contains those parts of the manuscript that were not revised. Only revised data and code are included here.<br>The folder "statistical_tests" contains the code and data to reproduce Chi-squared tests used to test for phyllotactic bias for iNaturalist observations downloaded from GBIF.<br>The folder "figure_code" contains the code and data to reproduce revised plots for Figures 3-5.<br>The folder "iNaturalist_photos" contains iNaturalist observation photos and associated data.<br>
DOI: 10.6084/m9.figshare.13720567.v1
title: Supplementary Material for: MicroRNA Expression Profiles in the Subcutaneous Adipose Tissues of Morbidly Obese Chinese Women

description: <b><i>Introduction:</i></b> Obesity is a main global health issue and an outstanding cause of morbidity and mortality. Exploring miRNA profiling may help further studies on obesity. <b><i>Methods:</i></b> Three morbidly obese and 5 normal-weight Chinese women were enrolled in the microarray testing group. Abdominal subcutaneous adipose tissue (SAT) samples were excised. Total RNAs including miRNAs were extracted. Affymetrix GeneChip miRNA 4.0 Array was used to compare the expression profiles of miRNAs between the 2 groups. Two algorithms, miRanda and TargetScan, were used to predict target messenger RNAs (mRNAs). Bioinformatics analysis was then done based on the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. The sample sizes were further expanded to 8 morbidly obese and 9 normal-weight subjects, and quantitative real-time PCR (qRT-PCR) was utilized to verify the expression of differential miRNAs and target genes. <b><i>Results:</i></b> As per the microarray assay, 58 miRNAs were differentially expressed in the SAT from the morbidly obese and normal-weight groups (Fold &gt;4, <i>p</i> &lt; 0.01, FDR &lt;0.05); 54 of these were downregulated and 4 were upregulated in morbidly obese subjects. A total of 1,333 target genes were jointly predicted by miRanda and TargetScan. Further bioinformatics analysis showed that the differential miRNAs were involved in 269 significant biological functions and 89 significant signaling pathways. The validation experiment by qRT-PCR showed that the expression levels of miRNA-143-5p, miRNA-143-3p, miRNA-145-5p, and let-7a-5p were downregulated in morbidly obese subjects, consistent with the microarray detection. High-mobility group A2 (<i>HMGA2</i>), a target gene of the downregulated miRNA let-7a-5p, was first found to be upregulated 3.19-fold in the SAT of morbidly obese Chinese women when compared to normal-weight controls. <b><i>Conclusions:</i></b> MiRNA downregulation is a hallmark of intact SAT in a morbidly obese state. Transcription (DNA-dependent), small-molecule metabolic processes, the MAPK signaling pathway, and cancer-related pathways may play important roles in the occurrence and development of obesity. For the first time, we proved that <i>HMGA2</i>, a target gene of let-7a-5p, is upregulated in the SAT of morbidly obese Chinese women.
DOI: 10.6084/m9.figshare.22650688.v1
title: Supplementary Material for: Identification of inflammatory endotypes by clinical characteristics and nasal secretion biomarkers in chronic rhinosinusitis with nasal polyps

description: Introduction: The emergency of biologics and surgical techniques targeting the specific inflammatory endotype in chronic rhinosinusitis with nasal polyps (CRSwNP) asks for efficient identification of patients with different endotypes. Although mucosal IL-4, IL-5, IL-13, and IgE have been used to define type 2 (T2) inflammation, the optimal one remains unclear. In this study, we aimed to determine the optimal anchor for T2 inflammation and identify clinical characteristics and nasal secretion biomarkers predicting different endotypes in CRSwNP. Methods: Six mediators in sinonasal tissue and 36 mediators in nasal secretion samples were detected by the Bio-Plex suspension array system. Mucosal IFN-γ and IL-17A levels were used to define the T1 and T3 endotype, respectively. The efficacy of mucosal IL-4, IL-5, IL-13, and IgE to define the T2 endotype was compared. The power of clinical characteristics and nasal secretion biomarkers to predict the T1, T2, and T3 endotype was analyzed. Results: Among mucosal IL-4, IL-5, IL-13, and IgE, IL-13 was the best one to coincide with the expression of other T2 biomarkers. A combination of atopy, facial pain symptom score, ethmoid/maxillary computed tomography score ratio, and blood eosinophil percentage had a moderate predictive performance for T2 endotype (AUC = 0.815), comparable to that of nasal secretion IL-5 (AUC = 0.819). For the T3 endotype, nasal secretion IL-1Rα identified it with an AUC value of 0.756. No efficient marker for the T1 endotype was found. Conclusion: IL-13 is a primary anchor for the T2 endotype in CRSwNP. Clinical characteristics and nasal secretion biomarkers are helpful for identifying the T2 and T3 endotype of CRSwNP.
DOI: 10.6084/m9.figshare.27216141.v1
title: EFL teachers' responses on ICC questionnaire.csv.zip

description: Developing and Validating an instrument to assess Greek EFL teachers’ intercultural communicative competence
DOI: 10.6084/m9.figshare.12287789.v1
title: Can Valence and Origin of Emotional Words Trigger the Interpretation of Ambiguous Stimuli in Terms of Warmth or Competence?

description: People tend to think that emotions influence the way they think in a spectacular way. We wanted to check whether it is possible to prime the interpretations of meaning of ambiguous stimuli by presenting emotion-laden words. The effect should not be spectacular, but systematic, and thus important. Participants were presented with words differing in valence and origin of an affective state, but aligned for arousal, concreteness, length and frequency of use. Their first task was to remember a word. The second task, performed while keeping in mind the word, was trying to guess by intuition a symbol-meaning. Participants interpreted whether an object represented by a coding symbol is related to warmth or competence. We expected positive valence and automatic origin to promote interpretations in terms of warmth and reflective origin in terms of competence. Positive valence appeared to intensify interpretations in terms of both warmth and competence, while the origin effect was found to be dissociative: automatic origin promoted intensiveness of warmth assessments and reflective origin intensiveness of competence assessments. The study showed an existing relation between emotional and social aspects of the mind, and therefore supports the conclusion that both domains may result from dual processes of a more general character.