cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28674815.v3
title: Bonat et al 2025. Seasonal habitat selection in an arboreal mammal identifies landscape characteristics that improve species resilience under climate change: Data and R scripts

description: These are the datasets utilised in <b>Bonat et al (2025)</b> <i>Seasonal habitat selection in an arboreal mammal identifies landscape characteristics that improve species resilience under climate change</i>.<br><br>We used local temperature data to assess habitat selection in an arboreal mammal. Species occupying the forest canopy are highly exposed to environmental conditions such as wind and solar radiation but can exploit shelter trees and gullies for protection. This provides an opportunity to better understand the role of microclimates in conservation planning.<br>We first combined seasonal GPS location data from collared koalas with publicly available remote sensing data to model habitat selection across two highly biodiverse sites in a World Heritage in NSW, Australia. We compared results to a finer-scale model using local temperature data from microclimates.The repository contains processed datasets (Excel format) and R scripts (zip folder) used to conduct the analyses. Due to file size constraints, spatial map layers are not included.<b>Repository structure and usage</b>To reproduce the analyses, users should create an RStudio Project and organise the files using the following directory structure:project_root/├── project_name.Rproj├── data/├── figures/├── Rscripts/<br>Place all provided .xlsx data files in the data/ directoryExtract all provided R scripts in the Rscripts/ directoryOutput figures generated by the scripts will be written to the figures/ directoryThe R scripts assume the project root is set as the working directory via the .Rproj file. Spatial map layers referenced in the scripts are derived from publicly available remote sensing data but are not included in this repository.
DOI: 10.6084/m9.figshare.28674815.v2
title: Bonat et al 2025. Seasonal habitat selection in an arboreal mammal identifies landscape characteristics that improve species resilience under climate change: Data and R scripts

description: These are the datasets utilised in <b>Bonat et al (2025)</b> <i>Seasonal habitat selection in an arboreal mammal identifies landscape characteristics that improve species resilience under climate change</i>.<br><br>We used local temperature data to assess habitat selection in an arboreal mammal. Species occupying the forest canopy are highly exposed to environmental conditions such as wind and solar radiation but can exploit shelter trees and gullies for protection. This provides an opportunity to better understand the role of microclimates in conservation planning.<br>We first combined seasonal GPS location data from collared koalas with publicly available remote sensing data to model habitat selection across two highly biodiverse sites in a World Heritage in NSW, Australia. We compared results to a finer-scale model using local temperature data from microclimates.The repository contains processed datasets (Excel format) and R scripts (zip folder) used to conduct the analyses. Due to file size constraints, spatial map layers are not included.<b>Repository structure and usage</b>To reproduce the analyses, users should create an RStudio Project and organise the files using the following directory structure:project_root/├── project_name.Rproj├── data/├── figures/├── Rscripts/<br>Place all provided .xlsx data files in the data/ directoryExtract all provided R scripts in the Rscripts/ directoryOutput figures generated by the scripts will be written to the figures/ directoryThe R scripts assume the project root is set as the working directory via the .Rproj file. Spatial map layers referenced in the scripts are derived from publicly available remote sensing data but are not included in this repository.
DOI: 10.15468/dl.ep47et
title: Occurrence Download

description: A dataset containing 47142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Promerops cafer",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 47142 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068171-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2qdfh2
title: CCDC 2514394: Experimental Crystal Structure Determination

description: Related Article: Zhi-min Zhai|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.18080323
title: Hi-Freq NEON-VI: High-Frequency Vegetation Indices Dataset for NEON Sites (2022-2025) based on PlanetScope

description: Abstract

This dataset provides high-frequency (Weekly & Monthly), high-resolution (3m), and analysis-ready (ARD) vegetation indices products for 13 representative NEON (National Ecological Observatory Network) sites across the United States. It is designed to address the "data gap" problem caused by cloud cover in public satellite data (e.g., Sentinel-2) and to capture fine-scale phenological changes.

Key Features





High Frequency: Leveraging Planet SuperDove's daily monitoring capability, we generated Weekly and Monthly composite products using the Max Value Composite (MVC) algorithm.




Multi-Indices: Includes NDVI, EVI (Enhanced Vegetation Index), and kNDVI (Kernel NDVI) to support diverse ecological applications.




High Quality: Rigorous quality control (QC) was applied, including UDM2-based cloud/shadow masking and radiometric calibration (Top-of-Atmosphere reflectance).




Validated: Cross-validated against Sentinel-2 L2A data, showing high consistency (high R-squared) and superior continuity during the growing season compared to public datasets.



Data Specifications





Time Range: January 2022 – January 2025




Spatial Resolution: 3 meters




Format: GeoTIFF (Float32) & Statistical CSV




Sites: 13 NEON sites (Covering Forest, Grassland, Shrubland, etc.)



Funding & Support

This dataset was produced as part of the academic course project at SYSU.
DOI: 10.5281/zenodo.18080324
title: Hi-Freq NEON-VI: High-Frequency Vegetation Indices Dataset for NEON Sites (2022-2025) based on PlanetScope

description: Abstract

This dataset provides high-frequency (Weekly & Monthly), high-resolution (3m), and analysis-ready (ARD) vegetation indices products for 13 representative NEON (National Ecological Observatory Network) sites across the United States. It is designed to address the "data gap" problem caused by cloud cover in public satellite data (e.g., Sentinel-2) and to capture fine-scale phenological changes.

Key Features





High Frequency: Leveraging Planet SuperDove's daily monitoring capability, we generated Weekly and Monthly composite products using the Max Value Composite (MVC) algorithm.




Multi-Indices: Includes NDVI, EVI (Enhanced Vegetation Index), and kNDVI (Kernel NDVI) to support diverse ecological applications.




High Quality: Rigorous quality control (QC) was applied, including UDM2-based cloud/shadow masking and radiometric calibration (Top-of-Atmosphere reflectance).




Validated: Cross-validated against Sentinel-2 L2A data, showing high consistency (high R-squared) and superior continuity during the growing season compared to public datasets.



Data Specifications





Time Range: January 2022 – January 2025




Spatial Resolution: 3 meters




Format: GeoTIFF (Float32) & Statistical CSV




Sites: 13 NEON sites (Covering Forest, Grassland, Shrubland, etc.)



Funding & Support

This dataset was produced as part of the academic course project at SYSU.
DOI: 10.57760/sciencedb.34453
title: A Lexicon of 660 Frozen Constructions with Positive/Negative Connotations in Modern Chinese
title: 《现代汉语凝固型褒贬构式词典（660条）》

description: This is a dataset for Chinese sentiment analysis, designed to address the gap in existing Chinese sentiment dictionaries, which primarily collect sentiment words but often overlook sentiment constructions such as "真是的," "动不动就," and "不说我说你." It currently contains 660 Chinese constructions with positive or negative connotations, with each entry annotated for part of speech, sentiment polarity, positive sentiment intensity value, negative sentiment intensity value, and the rationale behind the intensity assignment.
description: This is a dataset for Chinese sentiment analysis, designed to address the gap in existing Chinese sentiment dictionaries, which primarily collect sentiment words but often overlook sentiment constructions such as "真是的," "动不动就," and "不说我说你." It currently contains 660 Chinese constructions with positive or negative connotations, with each entry annotated for part of speech, sentiment polarity, positive sentiment intensity value, negative sentiment intensity value, and the rationale behind the intensity assignment.
DOI: 10.57760/sciencedb.34461
title: Delays on Road Construction Projects
title: Delays on Road Construction Projects

description: The data entails delay information about a couple of projects, the attributes of those projects, and causes of delays that manifested on the projects.
description: The data entails delay information about a couple of projects, the attributes of those projects, and causes of delays that manifested on the projects.
DOI: 10.57760/sciencedb.27266
title: Survey data on the changes in the values of junior students in City H at the beginning and end of the autumn semester of the 2024-2025 academic year
title: 2024-2025学年秋季学期H市大三学生价值观的期初期末变化的调查数据

description: Based on the research purpose, the author distributed questionnaires to college students in City H through the Internet at the beginning and end of the autumn semester of the 2024-2025 academic year to investigate the changes in students' values at the beginning and end of the autumn semester of their junior year. Before conducting the questionnaire survey, the school approved the application for exemption from ethical review, and all data will only be collected with the voluntary consent of the research participants.
description: Based on the research purpose, the author distributed questionnaires to college students in City H through the Internet at the beginning and end of the autumn semester of the 2024-2025 academic year to investigate the changes in students' values at the beginning and end of the autumn semester of their junior year. Before conducting the questionnaire survey, the school approved the application for exemption from ethical review, and all data will only be collected with the voluntary consent of the research participants.
DOI: 10.57760/sciencedb.lcbl.00096
title: Table 1 General Characteristics of the Study Subjects
title: 表1 研究对象的一般情况

description: This study included a total of 353 pediatric patients. Among them, there were 93 children in the EOS group and 260 suspected children in the EOS group, accounting for 26.3% and 73.7% respectively; Among 353 patients, there were 197 males (55.8%) and 156 females (44.2%); The average gestational age at birth is (39.40 ± 1.62) weeks, mainly concentrated in full-term infants at 37-39+6 weeks and ≥ 40 weeks, accounting for 43.6% and 33.1%, respectively; Those with birth weights&lt;2500 g, 2500-4000 g, and&gt;4000 g accounted for 13%, 83%, and 4%, respectively; The number of pregnancies was (1.82 ± 1.219); The parity is (1.25 ± 0.513) times 
description: This study included a total of 353 pediatric patients. Among them, there were 93 children in the EOS group and 260 suspected children in the EOS group, accounting for 26.3% and 73.7% respectively; Among 353 patients, there were 197 males (55.8%) and 156 females (44.2%); The average gestational age at birth is (39.40 ± 1.62) weeks, mainly concentrated in full-term infants at 37-39+6 weeks and ≥ 40 weeks, accounting for 43.6% and 33.1%, respectively; Those with birth weights&lt;2500 g, 2500-4000 g, and&gt;4000 g accounted for 13%, 83%, and 4%, respectively; The number of pregnancies was (1.82 ± 1.219); The parity is (1.25 ± 0.513) times
DOI: 10.57760/sciencedb.34458
title: A dataset of measurement properties evidence of the Sport Motivation Scale-II
title: A dataset of measurement properties evidence of the Sport Motivation Scale-II

description: The data in the Excel are a detailed assessment of the evaluated results of the Sport Motivation Scale-II measurement properties in the included literature based on the COSMIN manual.
description: The data in the Excel are a detailed assessment of the evaluated results of the Sport Motivation Scale-II measurement properties in the included literature based on the COSMIN manual.
DOI: 10.57760/sciencedb.34455
title: Dataset for Process Cyclicity Analysis of Mathematical Constants (π, e, √2, φ)
title: Dataset for Process Cyclicity Analysis of Mathematical Constants (π, e, √2, φ)

description: This dataset provides comprehensive materials for studying the "Process Cyclicity" theory through analysis of four mathematical constants: π (pi), e (Euler's number), √2 (square root of 2), and φ (golden ratio).## Contents:1. **Digit sequences**:  - π: 10,000,000 decimal digits  - e: 1,000,000 decimal digits    - √2: 1,000,000 decimal digits  - φ: 1,000,000 decimal digits2. **Analysis results**:  - Six-dimensional metrics: Hurst exponent, self-similarity, uniformity, inclusiveness, alternation, hierarchy, and nesting  - Key finding: All constants show Hurst exponents significantly greater than 0.5 (range: 0.5266-0.5325), indicating long-term memory3. **Reproducible code**:  - Complete Python scripts for all analyses  - Simplified version for quick verification4. **Manuscript**:  - LaTeX source of the accompanying paper  - Key visualization figure## Scientific significance:Demonstrates that mathematical constants exhibit weak but systematic periodic structures ("process cyclicity") while maintaining statistical randomness in digit distribution.## Data source:Digit sequences extracted from Alexander Yee's number library (http://www.numberworld.org/), computed using y-cruncher software.## Usage:Run `python precise_analysis.py` to reproduce all analyses.
description: This dataset provides comprehensive materials for studying the "Process Cyclicity" theory through analysis of four mathematical constants: π (pi), e (Euler's number), √2 (square root of 2), and φ (golden ratio).## Contents:1. **Digit sequences**:  - π: 10,000,000 decimal digits  - e: 1,000,000 decimal digits    - √2: 1,000,000 decimal digits  - φ: 1,000,000 decimal digits2. **Analysis results**:  - Six-dimensional metrics: Hurst exponent, self-similarity, uniformity, inclusiveness, alternation, hierarchy, and nesting  - Key finding: All constants show Hurst exponents significantly greater than 0.5 (range: 0.5266-0.5325), indicating long-term memory3. **Reproducible code**:  - Complete Python scripts for all analyses  - Simplified version for quick verification4. **Manuscript**:  - LaTeX source of the accompanying paper  - Key visualization figure## Scientific significance:Demonstrates that mathematical constants exhibit weak but systematic periodic structures ("process cyclicity") while maintaining statistical randomness in digit distribution.## Data source:Digit sequences extracted from Alexander Yee's number library (http://www.numberworld.org/), computed using y-cruncher software.## Usage:Run `python precise_analysis.py` to reproduce all analyses.
DOI: 10.57760/sciencedb.34454
title: Cold Water Infusion Enhances Image Quality in Sedated Miniprobe Endoscopic Ultrasonography: A Prospective, Multicenter, Double-Blind, Randomized Trial
title: Cold Water Infusion Enhances Image Quality in Sedated Miniprobe Endoscopic Ultrasonography: A Prospective, Multicenter, Double-Blind, Randomized Trial

description: Dataset DescriptionThis dataset comes from a prospective, multicenter, double-blind randomized controlled trial exploring the effects of different infusion water temperatures (cold: 6–10 °C; warm:20–24 °C; hot:35–39 °C) on sedated miniprobe endoscopic ultrasonography (mEUS) in 240 patients with GI protuberant lesions (June 2022–March 2023). Primary outcomes included mEUS image quality and diagnostic accuracy; secondary outcomes covered GI peristalsis, hemodynamics, patient-reported feelings, comfort, satisfaction and adverse events, confirming cold water infusion as optimal for better peristalsis suppression and image quality with comparable safety and comfort.Supplementary data includes 6 tables: ① Peristaltic grade of different GI parts (before/after infusion, cold group); ② Mean arterial pressure (MAP, mmHg); ③ Heart rate (beats/min); ④ Oxygen saturation (SpO₂, %); ⑤ Adverse event incidence (%) among three groups; ⑥ Patients' somatic and psychological feelings post-examination.The dataset provides complete baseline and post-intervention data, serving as a high-quality resource for standardized mEUS practice and related clinical researches on GI lesions.
description: Dataset DescriptionThis dataset comes from a prospective, multicenter, double-blind randomized controlled trial exploring the effects of different infusion water temperatures (cold: 6–10 °C; warm:20–24 °C; hot:35–39 °C) on sedated miniprobe endoscopic ultrasonography (mEUS) in 240 patients with GI protuberant lesions (June 2022–March 2023). Primary outcomes included mEUS image quality and diagnostic accuracy; secondary outcomes covered GI peristalsis, hemodynamics, patient-reported feelings, comfort, satisfaction and adverse events, confirming cold water infusion as optimal for better peristalsis suppression and image quality with comparable safety and comfort.Supplementary data includes 6 tables: ① Peristaltic grade of different GI parts (before/after infusion, cold group); ② Mean arterial pressure (MAP, mmHg); ③ Heart rate (beats/min); ④ Oxygen saturation (SpO₂, %); ⑤ Adverse event incidence (%) among three groups; ⑥ Patients' somatic and psychological feelings post-examination.The dataset provides complete baseline and post-intervention data, serving as a high-quality resource for standardized mEUS practice and related clinical researches on GI lesions.
DOI: 10.5281/zenodo.14986953
title: Compensation and colonization offset the impacts of biodiversity loss over time in grasslands

description: Understanding the long-term impacts of biodiversity loss on ecosystem functioning is a major challenge in ecology. While studies suggest that biodiversity loss exerts increasingly negative impacts over time, it is unclear whether this pattern, observed in artificial assemblages, applies to natural ecosystems. Here, we report findings from a 16-year plant functional group (PFG) removal experiment in the Inner Mongolia grassland, where four levels of PFG richness were established through targeted removals from 2006 to 2009, followed by natural recolonization from 2010 onward. We found that the initially positive biodiversity-productivity relationship (BPR) gradually flattened over time, indicating that the negative impacts of diversity loss diminished. This temporal shift of BPRs was co-regulated by abundance, compensation, and colonization effects, with their relative contributions varying over time. Notably, when the compensatory growth of remaining species and colonization of new species offset productivity decline caused by species removal, the adverse impacts of diversity loss were mitigated. These findings underscore the need to incorporate compensation and colonization dynamics when predicting the long-term ecosystem consequences of biodiversity loss.
DOI: 10.5281/zenodo.18080560
title: Compensation and colonization offset the impacts of biodiversity loss over time in grasslands

description: Understanding the long-term impacts of biodiversity loss on ecosystem functioning is a major challenge in ecology. While studies suggest that biodiversity loss exerts increasingly negative impacts over time, it is unclear whether this pattern, observed in artificial assemblages, applies to natural ecosystems. Here, we report findings from a 16-year plant functional group (PFG) removal experiment in the Inner Mongolia grassland, where four levels of PFG richness were established through targeted removals from 2006 to 2009, followed by natural recolonization from 2010 onward. We found that the initially positive biodiversity-productivity relationship (BPR) gradually flattened over time, indicating that the negative impacts of diversity loss diminished. This temporal shift of BPRs was co-regulated by abundance, compensation, and colonization effects, with their relative contributions varying over time. Notably, when the compensatory growth of remaining species and colonization of new species offset productivity decline caused by species removal, the adverse impacts of diversity loss were mitigated. These findings underscore the need to incorporate compensation and colonization dynamics when predicting the long-term ecosystem consequences of biodiversity loss.
DOI: 10.15468/dl.6b7ntr
title: Occurrence Download

description: A dataset containing 1218660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Recurvirostra avosetta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 1218660 records from 774 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068172-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18042078
title: Data for " Effect on Charged Particle Acceleration by Circularly Polarized Waves and Parallel Electric Fields"

description: This dataset contains the processed data used to generate figures in "Effect on Charged Particle Acceleration by Circularly Polarized Waves and Parallel Electric Fields". The data are provided in dictionary format, consisting of pairs of variable names and their corresponding NumPy arrays. Please note that some initial conditions required to reproduce the figures are described in the main text and are not included in this dataset.
DOI: 10.5281/zenodo.18042079
title: Data for " Effect on Charged Particle Acceleration by Circularly Polarized Waves and Parallel Electric Fields"

description: This dataset contains the processed data used to generate figures in "Effect on Charged Particle Acceleration by Circularly Polarized Waves and Parallel Electric Fields". The data are provided in dictionary format, consisting of pairs of variable names and their corresponding NumPy arrays. Please note that some initial conditions required to reproduce the figures are described in the main text and are not included in this dataset.
DOI: 10.5281/zenodo.17989154
title: Building-Scale Wind Field Simulation Using Palabos-v2.1r0-Based Lattice Boltzmann Method Large Eddy Simulation
DOI: 10.5281/zenodo.17989153
title: Building-Scale Wind Field Simulation Using Palabos-v2.1r0-Based Lattice Boltzmann Method Large Eddy Simulation
DOI: 10.6084/m9.figshare.30962261
title: denture_sla_synthetic_lab_data

description: this paper proposes a closed-loop decision-support framework that fuses controllable SLA parameters, contextual variables, and in-process sensing features into a probabilistic surrogate model that predicts denture-relevant quality metrics with uncertainty
DOI: 10.6084/m9.figshare.30962261.v1
title: denture_sla_synthetic_lab_data

description: this paper proposes a closed-loop decision-support framework that fuses controllable SLA parameters, contextual variables, and in-process sensing features into a probabilistic surrogate model that predicts denture-relevant quality metrics with uncertainty