cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cwncxbhpgb.1
title: Raw Data Transparency: Photopolymerization Effects on Composite Resins

description: The raw data presented in the attached files refer to the analyses conducted to evaluate the degree of conversion, flexural strength, elastic modulus, sorption, and solubility of three composite resins: Applic, Opallis, and Zirconfill. These resins were photopolymerized using three different devices: Bluephase, Valo, and Demi Plus.

The data contained in these files represent the original measurements obtained during the experiments and were used to calculate the values presented in the study results. From this information, the necessary statistical analyses were performed to compare the performance of different composite resins under various photopolymerization conditions.

It is important to highlight that the raw data provided have not undergone any filtering or additional processing beyond what was necessary for statistical analyses. Therefore, these values directly reflect the experimental conditions and may be useful for future reanalyses, validations, or comparative studies in the field of dental materials.

The disclosure of these data reinforces the commitment to scientific transparency, allowing other researchers to access the primary information used to construct the conclusions of this study.
This study aims to evaluate the impact of different photopolymerization devices (Bluephase, Valo, and Demi Plus) on the physico-mechanical properties of three composite resins (Applic, Opallis, and Zirconfill). The central hypothesis is that the choice of photopolymerization device directly influences the degree of conversion, flexural strength, elastic modulus, sorption, and solubility of the resins, thereby affecting their durability and clinical performance.

Data Collection
The data were obtained from laboratory experiments in which each composite resin was photopolymerized using the three mentioned devices. Measurements were then conducted to determine the following parameters:

Degree of Conversion (GC%) – Measures the efficiency of monomer-to-polymer conversion during photopolymerization.
Flexural Strength (MPa) – Evaluates the material’s ability to withstand applied forces before fracturing.
Elastic Modulus (GPa) – Indicates the stiffness of the composite resin.
Sorption and Solubility (µg/mm³) – Measures the material's ability to absorb liquids and dissolve in the oral environment..
The presented data can be interpreted by considering the influence of the photopolymerization devices on the physicomechanical properties of the composite resins. The interpretation is based on comparing the values obtained for each resin when subjected to the three devices (Bluephase, Valo, and Demi Plus), identifying patterns and trends.
DOI: 10.17632/c59jkmxh8w.1
title: Metals and nutrients record in karstical aquifer
DOI: 10.17632/xvn3mrdznn.1
title: Empirical Analysis of Deep Neural Networks for Classifying and Identifying 316L and AZ31B Mg Metal Surface Morphology

description: Deep neural networks (DNNs) have demonstrated remarkable capabilities in image classification and pattern recognition, making them well-suited for material surface morphology analysis. This study presents an empirical analysis of DNNs for classifying and identifying surface morphology of 316L stainless steel and AZ31B magnesium alloy. High-resolution microscopic images of both metals were obtained and preprocessed to enhance feature extraction. Multiple DNN architectures, including convolutional neural networks (CNNs), were trained and evaluated to determine their efficacy in distinguishing surface textures influenced by processing methods such as machining, etching, and corrosion. Performance metrics such as accuracy, precision, recall, and F1-score were analyzed to assess model effectiveness. The results indicate that DNN models can successfully differentiate between the two metal surfaces with high accuracy, providing a robust framework for automated material characterization. These findings contribute to the advancement of intelligent material inspection systems, reducing manual effort and improving the reliability of surface morphology assessments in industrial applications.
DOI: 10.15468/dl.7332t5
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gnetum gnemon L.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 310 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003610-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s49m4g4d79.1
title: Exploring job satisfaction in fitness franchises: a study from a human talent perspective

description: This study examines job satisfaction in Mexican fitness franchises from a human talent perspective. The research is guided by the following key questions: What factors influence job satisfaction in fitness franchises? How do professional development opportunities and working conditions impact job satisfaction? What challenges or improvements can enhance overall job satisfaction and employee performance?

Findings and Data Insights

Data was gathered from six semi-structured interviews conducted in October 2023 with employees in different roles. The interviews explored work-life balance, motivation, professional development, relationships, and compensation.

Internal communication emerged as the primary factor in job satisfaction. Poor communication from leadership led to uncertainty and dissatisfaction, whereas open dialogue and clear feedback boosted motivation. Interpersonal relationships also played a crucial role; strong team dynamics improved satisfaction, while unresolved conflicts and favouritism caused dissatisfaction.

Work-life balance was another key element. Employees who managed professional and personal lives separately reported higher satisfaction. However, stress was a concern, especially for those handling heavy workloads or difficult customers. Flexible work arrangements and stress management strategies were suggested as solutions.

Professional development was valued, but employees felt current training—mostly virtual—lacked engagement. Structured, in-person training could enhance skills and career progression. Compensation was generally viewed as fair, though some employees desired additional benefits like food vouchers and performance incentives. Small enhancements in benefits could positively impact morale.

Data Collection and Interpretation

Data was analysed using ATLAS.ti 23, applying a grounded theory approach to identify ten key themes: work-life balance, stress, communication, motivation, development, compensation, relationships, workplace environment, tasks, and overall satisfaction. Sentiment analysis showed neutral responses dominated, with a significant number reflecting negative emotions due to workplace challenges.

The findings highlight the importance of targeted HR strategies. Recommendations include improving communication, fostering teamwork, offering structured training, and enhancing compensation. Aligning these with sustainable development goals can promote better working conditions and economic sustainability.

By addressing these factors, fitness franchises in Mexico can improve retention, service quality, and organisational success. This study serves as a reference for future research and a strategic tool for HR management in similar industries.
DOI: 10.5281/zenodo.15009198
title: Database of Youth's Happiness Through Technological factors, Psychological Factors and Socioeconomic Factors

description: This database examines the relationship between happiness and psychological factors, socioeconomic factors, and social network usage. A primary validation survey was conducted with a survey applied to the entire population of 81 high school students descending from humble economic backgrounds in Tijuana
DOI: 10.5281/zenodo.15009199
title: Database of Youth's Happiness Through Technological factors, Psychological Factors and Socioeconomic Factors

description: This database examines the relationship between happiness and psychological factors, socioeconomic factors, and social network usage. A primary validation survey was conducted with a survey applied to the entire population of 81 high school students descending from humble economic backgrounds in Tijuana
DOI: 10.15468/dl.8rc7sc
title: Occurrence Download

description: A dataset containing 1508 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lespedeza floribunda Bunge"
 ]
}

 The dataset includes 1508 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003611-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq93ek
title: Occurrence Download

description: A dataset containing 32024 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apodemus agrarius (Pallas, 1771)"
 ]
}

 The dataset includes 32024 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003613-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11570/23.0028
title: LiDO: Exploring the Stable Plutino Parameter Space
DOI: 10.15468/dl.u5dzxg
title: Occurrence Download

description: A dataset containing 6289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melochia corchorifolia L."
 ]
}

 The dataset includes 6289 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003614-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqus23
title: Occurrence Download

description: A dataset listing the 459 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.38.26_1",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset's 459 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003612-250310093411724/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.25029422.v1
title: Mountain Lake Ice Phenology

description: These data are trend data derived from a imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Aqua and Terra satellites. The images were taken daily between 2000 and 2020. The imaging data were acquired through Google Earth Engine (GEE). The GEE code to duplicate our results are available within our Github code. The data required to run the analyses are included within this repository (i.e., mk_results.csv). The metadata describes the mk_results.csv data file. If a step-by-step analysis with the raw data is preferred, you can follow the Github and GEE code. The GEE code can also be used on other lakes; however, some steps within the Github file may not be necessary on low-elevation, topographically simple lakes.
DOI: 10.6084/m9.figshare.27671769
title: Data extraction-Practices and Challenges in Measuring and Monitoring Construction Productivity.xlsx

description: This reference provides an overview of studies included in a systematic review on construction productivity measurement and monitoring.
DOI: 10.6084/m9.figshare.25029422
title: Mountain Lake Ice Phenology

description: These data are trend data derived from a imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Aqua and Terra satellites. The images were taken daily between 2000 and 2020. The imaging data were acquired through Google Earth Engine (GEE). The GEE code to duplicate our results are available within our Github code. The data required to run the analyses are included within this repository (i.e., mk_results.csv). The metadata describes the mk_results.csv data file. If a step-by-step analysis with the raw data is preferred, you can follow the Github and GEE code. The GEE code can also be used on other lakes; however, some steps within the Github file may not be necessary on low-elevation, topographically simple lakes.
DOI: 10.15468/dl.cj7xhq
title: Occurrence Download

description: A dataset containing 26036 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melanoptila glabrirostris P.L.Sclater, 1858"
 ]
}

 The dataset includes 26036 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003615-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.br2vtx
title: Occurrence Download

description: A dataset containing 4359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-126.83619 24.71251,-71.93463 24.71251,-71.93463 48.52524,-126.83619 48.52524,-126.83619 24.71251))",
 "TaxonKey is Bromus tectorum L."
 ]
}

 The dataset includes 4359 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003616-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4kn9r
title: Occurrence Download

description: A dataset containing 721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spodoptera litura (Fabricius, 1775)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is New Zealand"
 ]
}

 The dataset includes 721 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003617-250310093411724/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.28501778
title: Datasets for training and testing Daphne, Emerald, Florence, Greece and Hilda Multi-Layer perceptron models

description: Training and testing datasets
DOI: 10.6084/m9.figshare.28501778.v1
title: Datasets for training and testing Daphne, Emerald, Florence, Greece and Hilda Multi-Layer perceptron models

description: Training and testing datasets
DOI: 10.15468/dl.73t5jx
title: Occurrence Download

description: A dataset containing 1457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elymus violaceus (Hornem.) J.Feilberg",
 "Year 1980-2025"
 ]
}

 The dataset includes 1457 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003618-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14914670
title: Investigating requirements change requests
DOI: 10.5281/zenodo.14914671
title: Investigating requirements change requests
DOI: 10.15468/dl.nac35w
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ginkgo biloba L.",
 "Year 1000-2025"
 ]
}

 The dataset includes 108 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003619-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sr6yf
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is INSDC Sequences",
 "TaxonKey is Leptobrachella suiyangensis Luo, Xiao, Gao & Zhou, 2020"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003620-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zu2csn
title: Occurrence Download

description: A dataset containing 387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Kenya, Uganda, Zimbabwe)",
 "TaxonKey is Panicum coloratum L."
 ]
}

 The dataset includes 387 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003621-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7803/371.1123.1.2.10
title: BIBB-Qualifizierungspanel 2011 bis 2023 long (GWA)

description: Hauptdatensatz
description: Längsschnittdatensatz eines Betriebspanel mit dem Ziel, detaillierte Informationen über die Strukturen, Entwicklungen und Zusammenhänge betrieblicher Qualifizierungsmaßnahmen und betrieblich-qualifikatorischer Arbeitskräftenachfrage zu liefern
description: Face-to-face interview: CAPI/CAMI
description: alle Betriebe in Deutschland mit mindestens einer sozialsichernbeschäftigten Beschäftigten
description: Wahrscheinlichkeitsauswahl: Unverhältnismäßige Geschichte te Zufallsauswahl
DOI: 10.48324/dandi.001354/0.250312.0036
title: Hippocampal neuronal responses to programmable antigen-gated G-protein-coupled engineered receptor activation

description: This dataset contains single cell electrophysiological recordings of mouse hippocampal CA1 neurons in response to activation of programmable antigen-gated G-protein-coupled engineered receptors. Recorded neurons were transfected with an AAV1/2-hSyn-a-mCherry-PAGER-Gi-P2A-mEGFP and responses were then recorded in response to DCZ (100 nM) or DCZ + soluble mCherry (1 uM) application.

The authors are grateful to the St Jude Children’s Research Hospital Collaborative Research Consortium on GPCRs, the Chan Zuckerberg Biohub–San Francisco, Phil and Penny Knight Initiative for Brain Resilience (KIG-104), Stanford Cancer Institute, Wu Tsai Neurosciences Institute of Stanford University and the NIH (MH135934 to A.Y.T. and I.S., F32CA257159 to N.A.K., NS121106 to I.S.) for funding this work. R.T. was supported by the Life Sciences Research Foundation Fellowship (sponsored by Astellas Pharma) and JSPS Overseas Research Fellowship.
DOI: 10.15468/dl.4pxjpu
title: Occurrence Download

description: A dataset containing 2273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-126.83619 24.71251,-71.93463 24.71251,-71.93463 48.52524,-126.83619 48.52524,-126.83619 24.71251))",
 "TaxonKey is Brassica tournefortii Gouan"
 ]
}

 The dataset includes 2273 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003624-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12579195
title: Biodiversity benefits of China's 20-year efforts in forest restoration

description: China has become the global leader in forest restoration, through unprecedented investment and various large-scale programs since 2000. Nevertheless, the overall biodiversity outcomes of these efforts remain to be resolved. Here, using 402 non-migratory forest bird species as indicators, we assessed biodiversity changes from 2000 to 2020 at a national scale, controlling for the effects of climate change by using an ecological niche modeling framework. We found substantial biodiversity benefits linked to the expansion of forest extent and the improvement in forest structure, with 73.6% of avian species experiencing habitat expansion and mean species richness increasing by 2.886 ± 8.418. Protection-focused and afforestation-dominated restoration programs both effectively enhanced biodiversity, with planted forests performing similarly to natural forests over this period. Key factors facilitating this enhancement included tree cover and canopy structural complexity. Our findings suggest that restoring planted forests in degraded landscapes can provide substantial biodiversity benefits, although this should incorporate mixed tree species silviculture practices to enhance the structural complexity of planted forests. This study highlights China’s achievements but also the potential risks involved in forest and biodiversity restoration, and provides general insights for the optimization of future restoration policy and management in China and beyond.
DOI: 10.5281/zenodo.12579196
title: Biodiversity benefits of China's 20-year efforts in forest restoration

description: China leads the world in forest restoration; however, its overall biodiversity outcomes have been questioned. Using forest birds as indicators, we assessed biodiversity changes from 2000 to 2020 at a national scale. We found notable biodiversity benefits linked to forest expansion and improvement in forest structure, with 70% of species experiencing habitat expansion and mean species richness increasing by 2.721. Protection-focused and afforestation-dominated restoration programs both effectively enhanced biodiversity, with planted forests performing comparably to natural forests. Key factors facilitating this enhancement included tree cover and structural complexity. Our findings suggest that restoring planted forests in degraded landscapes can provide substantial biodiversity benefits, although this should incorporate mixed-culture to enhance structural complexity. This study highlights China’s achievements and risks in forest and biodiversity restoration, and provides insights for optimizing future restoration.
DOI: 10.5281/zenodo.15009263
title: Biodiversity benefits of China's 20-year efforts in forest restoration

description: China has become the global leader in forest restoration, through unprecedented investment and various large-scale programs since 2000. Nevertheless, the overall biodiversity outcomes of these efforts remain to be resolved. Here, using 402 non-migratory forest bird species as indicators, we assessed biodiversity changes from 2000 to 2020 at a national scale, controlling for the effects of climate change by using an ecological niche modeling framework. We found substantial biodiversity benefits linked to the expansion of forest extent and the improvement in forest structure, with 73.6% of avian species experiencing habitat expansion and mean species richness increasing by 2.886 ± 8.418. Protection-focused and afforestation-dominated restoration programs both effectively enhanced biodiversity, with planted forests performing similarly to natural forests over this period. Key factors facilitating this enhancement included tree cover and canopy structural complexity. Our findings suggest that restoring planted forests in degraded landscapes can provide substantial biodiversity benefits, although this should incorporate mixed tree species silviculture practices to enhance the structural complexity of planted forests. This study highlights China’s achievements but also the potential risks involved in forest and biodiversity restoration, and provides general insights for the optimization of future restoration policy and management in China and beyond.