cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ywfxkmzmsx.1
title: Decoding the Innovation Chasm in STEM Vocational Education: A Second-order Factor Analysis of Innovation Capacities and the Structural Inequality of Resource Pathways

description: This dataset contains the survey data and analytical models associated with the research article "Decoding the Innovation Chasm in STEM Vocational Education: A Second-order Factor Analysis of Innovation Capacities and the Structural Inequality of Resource Pathways". The study investigates the developmental mechanisms of innovation capacities among STEM vocational students in China, utilizing Conservation of Resources (COR) theory.
DOI: 10.15468/dl.rhqpmj
title: Occurrence Download

description: A dataset containing 292832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Martinique",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 292832 records from 434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005186-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c6cwygt8c2
title: Güler Şefik

description: Bu veri seti '' Geliştiren Bakım Çerçevesi’nin Hayata Geçirilmesi ile İlgili Bilimsel ve Uygulamalı Çalışmalar Üzerinde Meta-Analitik Bir İnceleme'' adlı Yüksek Lisans tezime aittir. Bu çalışma, GBÇ temel alınarak yürütülmüş bilimsel araştırmaları kapsamaktadır. Belli arama motorlarında ‘’Nurturing Care Framework’’ anahtar kelimesi sistematik olarak taranmış ve nicel veriler meta-analiz yöntemiyle analiz edilmiştir. (ORGID: 0009-0005-0440-7638)
DOI: 10.17632/c6cwygt8c2.1
title: Güler Şefik

description: Bu veri seti '' Geliştiren Bakım Çerçevesi’nin Hayata Geçirilmesi ile İlgili Bilimsel ve Uygulamalı Çalışmalar Üzerinde Meta-Analitik Bir İnceleme'' adlı Yüksek Lisans tezime aittir. Bu çalışma, GBÇ temel alınarak yürütülmüş bilimsel araştırmaları kapsamaktadır. Belli arama motorlarında ‘’Nurturing Care Framework’’ anahtar kelimesi sistematik olarak taranmış ve nicel veriler meta-analiz yöntemiyle analiz edilmiştir. (ORGID: 0009-0005-0440-7638)
DOI: 10.17632/nw7htx5shx
title: Site-specific lithium incorporation in kaolinite: calibrated 7Li NMR, DFT models, and supporting source data (Xinliangyou No. 11 coal seam)

description: This dataset provides the supporting data and computational structures for the study of site-specific lithium incorporation in kaolinite. It includes (i) optimized kaolinite–Li structural models in CIF format, (ii) CIF files along NEB migration pathways, (iii) 7Li MAS NMR raw/source data and DMfit fitting files, (iv) XRD source data for sample XLY-11-3P, and (v) supplementary data tables reporting sampling information, coal quality parameters, trace-element concentrations, and low-temperature ash mineralogy for coal and associated non-coal samples from the Xinliangyou No. 11 coal seam (Taiyuan Formation, Upper Carboniferous).
DOI: 10.17632/nw7htx5shx.1
title: Site-specific lithium incorporation in kaolinite: calibrated 7Li NMR, DFT models, and supporting source data (Xinliangyou No. 11 coal seam)

description: This dataset provides the supporting data and computational structures for the study of site-specific lithium incorporation in kaolinite. It includes (i) optimized kaolinite–Li structural models in CIF format, (ii) CIF files along NEB migration pathways, (iii) 7Li MAS NMR raw/source data and DMfit fitting files, (iv) XRD source data for sample XLY-11-3P, and (v) supplementary data tables reporting sampling information, coal quality parameters, trace-element concentrations, and low-temperature ash mineralogy for coal and associated non-coal samples from the Xinliangyou No. 11 coal seam (Taiyuan Formation, Upper Carboniferous).
DOI: 10.17632/3xgct7rt22
title: Vehicle detection dataset

description: This dataset was created by extracting features from 76 hours of second-level signals for field vehicle detection. Each frame sample contains synchronized 1-second acoustic and seismic signals, and each dataset sample includes "acoustic_features" (10×256), "seismic_features" (10×64), "class" ('1' for train and '2' for test), and "label" ('1' for vehicle and '0' for no vehicle).
DOI: 10.17632/3xgct7rt22.1
title: Vehicle detection dataset

description: This dataset was created by extracting features from 76 hours of second-level signals for field vehicle detection. Each frame sample contains synchronized 1-second acoustic and seismic signals, and each dataset sample includes "acoustic_features" (10×256), "seismic_features" (10×64), "class" ('1' for train and '2' for test), and "label" ('1' for vehicle and '0' for no vehicle).
DOI: 10.17632/th5mryvvmz.2
title: original data for the manuscript: Reprogramming orthogonal regulatory and metabolic system for efficient erythromycin production

description: This dataset corresponds to the raw experimental data for the manuscript "Reprogramming orthogonal regulatory and metabolic system for efficient erythromycin production". It includes:
1. “Figure 2.xlsx”：Raw data supporting the "Development of orthogonal artificial control system" chapter in the main text. 
2. “Figure 3.xlsx”：Raw data supporting the "Orthogonal PCoA and MMCoA supply module" chapter in the main text. 
3. “Figure 4.xlsx”：Raw data supporting the "Fine-tuning the stoichiometry of precursors guided by in vivo kinetics" chapter in the main text. 
4. “Figure 5.xlsx”：Raw data supporting the "Orthogonal methyl donor module" chapter in the main text. 
5. “Figure 6.xlsx”：Raw data supporting the "Orthogonal desosamine and mycarose supply module" chapter in the main text. 
6. “Figure 7.xlsx”：Raw data supporting the "Scale-up of the final strain with reprogrammed orthogonal regulatory and metabolic system" chapter in the main text. 
7. “Sup Figure .xlsx”：Raw data supporting the Supplementary Figures corresponding to this manuscript
DOI: 10.7914/mxqa-f497
title: Bermuda Earthquake and Structure Test

description: Array of 10 broadband seismometers deployed across the island of Bermuda.
DOI: 10.17632/d69gbkv9mk
title: Interview Data on Adolescents’ Continued Use of Artificial Intelligence: A Qualitative Study in China

description: This dataset was generated to explore why and how adolescents continue to use artificial intelligence (AI) beyond initial adoption, with a focus on psychological needs, usage experiences, and social contexts. The study is guided by the assumption that adolescents’ continued AI use cannot be sufficiently explained by instrumental usefulness alone, but instead emerges from the interaction between developmental needs, lived experiences during AI use, and perceived consequences over time.
The dataset consists of anonymized semi-structured interview transcripts collected from 58 Chinese adolescents aged 12–18 with prior experience using AI applications (e.g., generative AI tools, AI learning assistants, and conversational AI systems). Data were collected between January and March 2025 through one-on-one interviews conducted both in person and online. Interview topics included AI usage behaviors, motivations, emotional and social experiences, perceived benefits and risks, and influences from family, peers, and school environments. All interviews were audio-recorded with informed consent from participants and their guardians, transcribed verbatim, and anonymized.
The data show that adolescents’ continued AI use is associated with multiple interconnected factors beyond functional efficiency. Qualitative thematic analysis reveals recurring patterns related to perceived value, emotional experiences, self-expansion, pseudo-social belonging, and social influences. Participants describe AI not only as a learning and productivity tool, but also as a resource for emotional regulation, identity exploration, and social positioning.
Notable findings reflected in the data include adolescents’ reliance on AI for emotional coping, its role as a low-risk space for identity experimentation, and the moderating influence of parental attitudes, peer norms, and school regulations on continued use intentions. These patterns informed the development of a Needs–Experiences–Consequences (NEC) dynamic conceptual model, which conceptualizes conttinued AI use as a cyclical process in which usage experiences generate cognitive, emotional, and social consequences that feed back into underlying needs.

Due to ethical considerations related to research involving minors, the dataset does not include the complete set of raw interview transcripts. Sensitive or potentially identifiable content has been removed or withheld. Additional materials may be made available upon reasonable request for academic research purposes by contacting the corresponding author, subject to ethical review.

This dataset is intended for qualitative and interpretive research on adolescent–AI interaction, technology continuance behavior, and developmental implications of emerging AI technologies.
DOI: 10.17632/d69gbkv9mk.1
title: Interview Data on Adolescents’ Continued Use of Artificial Intelligence: A Qualitative Study in China

description: This dataset was generated to explore why and how adolescents continue to use artificial intelligence (AI) beyond initial adoption, with a focus on psychological needs, usage experiences, and social contexts. The study is guided by the assumption that adolescents’ continued AI use cannot be sufficiently explained by instrumental usefulness alone, but instead emerges from the interaction between developmental needs, lived experiences during AI use, and perceived consequences over time.
The dataset consists of anonymized semi-structured interview transcripts collected from 58 Chinese adolescents aged 12–18 with prior experience using AI applications (e.g., generative AI tools, AI learning assistants, and conversational AI systems). Data were collected between January and March 2025 through one-on-one interviews conducted both in person and online. Interview topics included AI usage behaviors, motivations, emotional and social experiences, perceived benefits and risks, and influences from family, peers, and school environments. All interviews were audio-recorded with informed consent from participants and their guardians, transcribed verbatim, and anonymized.
The data show that adolescents’ continued AI use is associated with multiple interconnected factors beyond functional efficiency. Qualitative thematic analysis reveals recurring patterns related to perceived value, emotional experiences, self-expansion, pseudo-social belonging, and social influences. Participants describe AI not only as a learning and productivity tool, but also as a resource for emotional regulation, identity exploration, and social positioning.
Notable findings reflected in the data include adolescents’ reliance on AI for emotional coping, its role as a low-risk space for identity experimentation, and the moderating influence of parental attitudes, peer norms, and school regulations on continued use intentions. These patterns informed the development of a Needs–Experiences–Consequences (NEC) dynamic conceptual model, which conceptualizes conttinued AI use as a cyclical process in which usage experiences generate cognitive, emotional, and social consequences that feed back into underlying needs.

Due to ethical considerations related to research involving minors, the dataset does not include the complete set of raw interview transcripts. Sensitive or potentially identifiable content has been removed or withheld. Additional materials may be made available upon reasonable request for academic research purposes by contacting the corresponding author, subject to ethical review.

This dataset is intended for qualitative and interpretive research on adolescent–AI interaction, technology continuance behavior, and developmental implications of emerging AI technologies.
DOI: 10.15468/dl.kvxmxx
title: Occurrence Download

description: A dataset containing 2522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fimbristylis quinquangularis quinquangularis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2522 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005243-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cdn5zxcxx5
title: Data for a van der Waals interfaces cleaning strategy

description: This dataset contains relevant data generated during the study of the interfacial cleaning strategy, including corresponding photoluminescence and Raman spectra, as well as photodetector performance data.
DOI: 10.15468/dl.2gge7p
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Araschnia dohertyi"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005244-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cdn5zxcxx5.1
title: Data for a van der Waals interfaces cleaning strategy

description: This dataset contains relevant data generated during the study of the interfacial cleaning strategy, including corresponding photoluminescence and Raman spectra, as well as photodetector performance data.
DOI: 10.17632/htng9yf8xk
title: Vibration signals of blades with different cracked zones in a wind turbine in operation

description: The dataset includes vibration signals acquired directly at the root of each of three wind turbine blades of a low-power rotating wind turbine. The tests were conducted at the same wind speed. The wind turbine blades have different health conditions; the cases considered are healthy blades and cracked blades in one of three cross-sectional areas: root, middle, or tip. There are 10 cases, with 7680 files each. The dataset was collected at a sampling rate of 1 kHz, with 500 samples per channel.
DOI: 10.17632/htng9yf8xk.1
title: Vibration signals of blades with different cracked zones in a wind turbine in operation

description: The dataset includes vibration signals acquired directly at the root of each of three wind turbine blades of a low-power rotating wind turbine. The tests were conducted at the same wind speed. The wind turbine blades have different health conditions; the cases considered are healthy blades and cracked blades in one of three cross-sectional areas: root, middle, or tip. There are 10 cases, with 7680 files each. The dataset was collected at a sampling rate of 1 kHz, with 500 samples per channel.
DOI: 10.15468/dl.b4qn8w
title: Occurrence Download

description: A dataset containing 40163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Baccharis halimifolia",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 40163 records from 373 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005246-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7amnv
title: Occurrence Download

description: A dataset containing 921 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Strigiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 60,-60 60,-60 90,-90 90,-90 60))"
 ]
}

 The dataset includes 921 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000768-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyx75r
title: Occurrence Download

description: A dataset containing 63477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.08484 -13.9019,-69.86761 -13.9019,-69.86761 -11.86218,-72.08484 -11.86218,-72.08484 -13.9019))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 63477 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000711-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0169412.10fu
title: SH0169412.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169413.10fu
title: SH0169413.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169414.10fu
title: SH0169414.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169415.10fu
title: SH0169415.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169416.10fu
title: SH0169416.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169417.10fu
title: SH0169417.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.16980468
title: dataset for manuscript

description: MATLAB simulation results for reproducing simulational results in the paper.
DOI: 10.5281/zenodo.16980469
title: dataset for manuscript

description: MATLAB simulation results for reproducing simulational results in the paper.