cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18180650
title: Manufacturer-Captured Arbitration and the Failure of Florida's Lemon Law Remedies: Primary Case Documents

description: This dataset contains sixteen primary-source documents supporting a qualitative legal analysis of Florida’s Lemon Law arbitration system in a consumer vehicle defect case involving Toyota Motor Sales, U.S.A., Inc.

The materials document the procedural trajectory of the dispute from manufacturer repair attempts and consumer complaints through state-administered lemon law arbitration, post-decision correspondence, regulatory communications, and public safety filings. Included records consist of arbitration decisions, manufacturer pleadings, arbitrator-related correspondence, agency communications with the Florida Attorney General’s Lemon Law Arbitration Program, federal consumer-protection complaints (FTC/DOJ), and vehicle safety filings with the National Highway Traffic Safety Administration (NHTSA), as well as governing arbitration rules and participation requirements.

Files are numbered to reflect procedural sequence rather than evidentiary weight. All documents are authentic records generated or received in the ordinary course of the dispute between 2023 and 2026. Personally identifying information has been redacted where appropriate to protect privacy while preserving evidentiary integrity.

The dataset is provided to support transparency, verification, and qualitative legal and policy analysis of consumer protection mechanisms, arbitration governance, and access-to-remedy structures. It accompanies an academic manuscript examining manufacturer participation in state lemon law arbitration and the implications for procedural fairness and consumer redress.

The materials are made publicly available for scholarly and research purposes and do not constitute legal advice.
DOI: 10.5281/zenodo.18180649
title: Manufacturer-Captured Arbitration and the Failure of Florida's Lemon Law Remedies: Primary Case Documents

description: This dataset contains sixteen primary-source documents supporting a qualitative legal analysis of Florida’s Lemon Law arbitration system in a consumer vehicle defect case involving Toyota Motor Sales, U.S.A., Inc.

The materials document the procedural trajectory of the dispute from manufacturer repair attempts and consumer complaints through state-administered lemon law arbitration, post-decision correspondence, regulatory communications, and public safety filings. Included records consist of arbitration decisions, manufacturer pleadings, arbitrator-related correspondence, agency communications with the Florida Attorney General’s Lemon Law Arbitration Program, federal consumer-protection complaints (FTC/DOJ), and vehicle safety filings with the National Highway Traffic Safety Administration (NHTSA), as well as governing arbitration rules and participation requirements.

Files are numbered to reflect procedural sequence rather than evidentiary weight. All documents are authentic records generated or received in the ordinary course of the dispute between 2023 and 2026. Personally identifying information has been redacted where appropriate to protect privacy while preserving evidentiary integrity.

The dataset is provided to support transparency, verification, and qualitative legal and policy analysis of consumer protection mechanisms, arbitration governance, and access-to-remedy structures. It accompanies an academic manuscript examining manufacturer participation in state lemon law arbitration and the implications for procedural fairness and consumer redress.

The materials are made publicly available for scholarly and research purposes and do not constitute legal advice.
DOI: 10.6084/m9.figshare.31017706.v1
title: ForumSeeker: Fusion Retrieval of Online Technical Forums for Effective Troubleshooting

description: <pre>ForumSeeker retrieves relevant forum posts (e.g., from Stack Overflow) for troubleshooting by using a structure-preserving chunking method and relevance scoring based on heterogeneous technical artifacts and an ensemble of domain-tuned language models. <br><br><br></pre>
DOI: 10.6084/m9.figshare.30577256
title: <b> </b><b>Streptomyces sampsonii (</b><b>raw data, genome and </b><b>Annotation)</b>

description: <b>Streptomyces sampsonii (</b><b>raw data, genome and </b><b>Annotation)</b>
DOI: 10.6084/m9.figshare.30577256.v1
title: <b>Raw data of </b><b>Streptomyces sampsonii</b>

description: <b>Raw data of </b><b>Streptomyces sampsonii</b>
DOI: 10.6084/m9.figshare.30577256.v2
title: <b> </b><b>Streptomyces sampsonii (</b><b>raw data, genome and </b><b>Annotation)</b>

description: <b>Streptomyces sampsonii (</b><b>raw data, genome and </b><b>Annotation)</b>
DOI: 10.15468/dl.djphxc
title: Occurrence Download

description: A dataset containing 3120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rotala indica"
 ]
}

 The dataset includes 3120 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081023-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18167997
title: A Multi-Scale Mechanistic Model Reveals How 14-3-3 Tunes ASK1 Activity Through Long-Range Allosteric Remodeling

description: This dataset contains all molecular dynamics system-preparation files, simulation input parameters, workflow scripts, and initial structural models required to reproduce the computational methodology and key mechanistic analyses reported in the study “A Multi-Scale Mechanistic Model Reveals How 14-3-3 Tunes ASK1 Activity Through Long-Range Allosteric Remodeling.”

The archive includes:





PDB files for all monomeric and dimeric systems, including experimentally determined structures, SAXS-derived conformers, and AlphaFold-Multimer models




AMBER input files for energy minimization, equilibration, and production molecular dynamics simulations




Bash scripts for automated system preparation and MD execution




Documentation describing the computational workflow and simulation protocols



Raw production trajectories are not included due to size constraints. These trajectories are not required to reproduce the essential results or mechanistic conclusions, which are derived from reproducible analyses of structural ensembles, pocket volumes, hydration behavior, and residue-interaction metrics.

Representative trajectory movies corresponding to the production simulations are publicly available via Figshare links provided in the associated manuscript.
DOI: 10.5281/zenodo.18181602
title: A Multi-Scale Mechanistic Model Reveals How 14-3-3 Tunes ASK1 Activity Through Long-Range Allosteric Remodeling

description: This dataset contains all molecular dynamics system-preparation files, simulation input parameters, workflow scripts, and initial structural models required to reproduce the computational methodology and key mechanistic analyses reported in the study “A Multi-Scale Mechanistic Model Reveals How 14-3-3 Tunes ASK1 Activity Through Long-Range Allosteric Remodeling.”

The archive includes:





PDB files for all monomeric and dimeric systems, including experimentally determined structures, SAXS-derived conformers, and AlphaFold-Multimer models




AMBER input files for energy minimization, equilibration, and production molecular dynamics simulations




Bash scripts for automated system preparation and MD execution




Documentation describing the computational workflow and simulation protocols



Raw production trajectories are not included due to size constraints. These trajectories are not required to reproduce the essential results or mechanistic conclusions, which are derived from reproducible analyses of structural ensembles, pocket volumes, hydration behavior, and residue-interaction metrics.

Representative trajectory movies corresponding to the production simulations are publicly available via Figshare links provided in the associated manuscript.
DOI: 10.15468/dl.guetja
title: Occurrence Download

description: A dataset containing 349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvia japonica, Salvia fortunei, Salvia japonica ternata, Salvia japonica alatopinnata, Salvia japonica fortunei, Salvia chinensis alatopinnata)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2024",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 4500",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen, Material sample, Living Specimen)"
 ]
}

 The dataset includes 349 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081024-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jytamt
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mystus armatus"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081025-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18181621
title: zheng26b/VTEC and PALSAR

description: VTEC: the ionospheric products (VTEC) of Madrigal Database provided by Massachusetts Institute of Technology (MIT) Haystack Observatory

PALSAR:Provided SAR location for study, SAR data can be downloaded by oneself

If there are any other incomplete codes, please consult:13035039007@163.com
DOI: 10.5281/zenodo.18181620
title: zheng26b/VTEC and PALSAR

description: VTEC: the ionospheric products (VTEC) of Madrigal Database provided by Massachusetts Institute of Technology (MIT) Haystack Observatory

PALSAR:Provided SAR location for study, SAR data can be downloaded by oneself

If there are any other incomplete codes, please consult:13035039007@163.com
DOI: 10.15468/dl.u6j5ve
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is Coordinate reprojection failed",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 278 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081027-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18172942
title: Dataset for: "Entanglement-assisted multiparameter estimation with a solid-state quantum sensor"

description: This dataset is a collection of CSV files containing the experimental data used in Figures 2–4 of the paper.
DOI: 10.5281/zenodo.18172941
title: Dataset for: "Entanglement-assisted multiparameter estimation with a solid-state quantum sensor"

description: This dataset is a collection of CSV files containing the experimental data used in Figures 2–4 of the paper.
DOI: 10.34740/kaggle/dsv/14430391
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18181658
title: C-NET: Enhanced Temporal Residual Convolution for Carbon Price Forecasting with Explainable Interpretability

description: The carbon price fluctuation is based on market dynamics and regulatory constraints, directly influencing the behaviour of the power sector. This fluctuation often makes enterprises and companies make incorrect decisions on profits.  This study introduces a novel deep learning model, the Carbon Network (C-Net), specifically the Temporal Residual Harmonics Network (TRHN), for forecasting carbon prices using multi-source monthly official time-series data collected from January 2015 to July 2025. Data were aggregated from publicly available resources, including Ember, which covers electricity generation, demand, emission intensity, and sectoral CO2 emissions. Feature Engineering is computed using lag computation, rolling mean and standard deviation features. The TRHN architecture integrates sinusoidal temporal harmonics, dilated residual convolutions, and shock gating mechanisms to capture both periodic trends and long-range dependencies in the data. The model is trained using 5-fold cross-validation and evaluated with MAE (2.71), RMSE (3.18), and $R^2$ (0.9916)  metrics. It successfully forecasts carbon prices for the second half of 2025, demonstrating strong predictive performance and reliability. This work highlights the potential of deep temporal models in carbon market forecasting and policy support across the EU power sector.
DOI: 10.5281/zenodo.18181659
title: C-NET: Enhanced Temporal Residual Convolution for Carbon Price Forecasting with Explainable Interpretability

description: The carbon price fluctuation is based on market dynamics and regulatory constraints, directly influencing the behaviour of the power sector. This fluctuation often makes enterprises and companies make incorrect decisions on profits.  This study introduces a novel deep learning model, the Carbon Network (C-Net), specifically the Temporal Residual Harmonics Network (TRHN), for forecasting carbon prices using multi-source monthly official time-series data collected from January 2015 to July 2025. Data were aggregated from publicly available resources, including Ember, which covers electricity generation, demand, emission intensity, and sectoral CO2 emissions. Feature Engineering is computed using lag computation, rolling mean and standard deviation features. The TRHN architecture integrates sinusoidal temporal harmonics, dilated residual convolutions, and shock gating mechanisms to capture both periodic trends and long-range dependencies in the data. The model is trained using 5-fold cross-validation and evaluated with MAE (2.71), RMSE (3.18), and $R^2$ (0.9916)  metrics. It successfully forecasts carbon prices for the second half of 2025, demonstrating strong predictive performance and reliability. This work highlights the potential of deep temporal models in carbon market forecasting and policy support across the EU power sector.
DOI: 10.15468/dl.udyz3t
title: Occurrence Download

description: A dataset containing 2021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Living Specimen, Occurrence evidence, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia dumosa",
 "Year 2000-2026"
 ]
}

 The dataset includes 2021 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081030-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25910/gsyn-4294
title: Data from: Asynchronous seasonal dynamics of nycteribiid bat flies and Bartonella spp. in Australian flying foxes (Pteropus spp.)

description: Background Bat flies are ubiquitous ectoparasites of bats, recognised as potential vectors for viral and bacterial transmission between individual bats within a roost. Despite this, little is known about the seasonal dynamics of bat flies. Here, we present the results of a longitudinal study that compares seasonal prevalence and host risk factors for bat fly (Diptera: Nycteribiidae) parasitism with that of Bartonella and Borrelia spp. detected in Pteropus alecto and P. poliocephalus in eastern Australia. Methods Flying foxes were sampled at nine different roosts in southeast Queensland and northern New South Wales between February 2018 and September 2022 using mist nets. Host and ectoparasite data were recorded, and bat fly specimens were collected for identification. Blood samples collected from the flying foxes were screened for the presence of Bartonella and Borrelia DNA using polymerase chain reaction (PCR). Results Ectoparasite data were recorded from 2,235 flying foxes and 840 had blood samples screened for Bartonella and Borrelia DNA. Cyclopodia albertisii was the predominate nycteribiid species identified, with few detections of C. australis. Nycteribiid prevalence had a consistent annual cycle (ranging from 8.6% to 100%) that depended on local climatic factors, increasing with increased temperature and humidity during summer and decreasing in winter. Bartonella spp. prevalence exhibited less variation seasonally (ranging from 50% to 100%) with a peak in winter that was driven by host age with juvenile bats having a reduced probability of infection compared to subadults and adults. Borrelia spp. were rare and showed no clear seasonality. Conclusions This study reports the longitudinal occurrence of the blood-borne bacteria Bartonella spp. and their likely ectoparasite vectors in Australian flying foxes. The findings contribute to knowledge of nycteribiid ecology critical for understanding their vector potential within flying fox roosts and provide direction for future research into nycteribiid-mediated transmission dynamics.
DOI: 10.6084/m9.figshare.31007452
title: Tactile pup loss and acoustic signal enhance selective maternal retrieval behavior in echolocating bats,

description: Data used in our experiments "Tactile pup loss and acoustic signal enhance selective maternal retrieval behavior in echolocating bats, <i>Pipistrellus abramus</i><i>.</i>"Exp2-PupVocalization: Information on pup vocalizations by postnatal day: number of isolation calls per second, isolation call rate, and echolocation call precursors per recorded audio.Exp2-MomResponseScore: Maternal response scores to playback of day-7 pup calls. Scores were assigned as follows: 1 for entering the playback zone of the mother’s own pup call, 0.5 for entering the playback zone of a non-own pup call, and 0 for remaining in the waiting zone.Exp2-MomLatency: Latency from playback onset to the mother’s first movement out of waiting zone is shown by postnatal day under no-pup condition. (×) denotes no response; (―) denotes trial conditions that were not tested.For further information regarding Exp1 data, please refer to the tables and figures contained in our paper.
DOI: 10.6084/m9.figshare.31007452.v1
title: Tactile pup loss and acoustic signal enhance selective maternal retrieval behavior in echolocating bats,

description: Data used in our experiments "Tactile pup loss and acoustic signal enhance selective maternal retrieval behavior in echolocating bats, <i>Pipistrellus abramus</i><i>.</i>"Exp2-PupVocalization: Information on pup vocalizations by postnatal day: number of isolation calls per second, isolation call rate, and echolocation call precursors per recorded audio.Exp2-MomResponseScore: Maternal response scores to playback of day-7 pup calls. Scores were assigned as follows: 1 for entering the playback zone of the mother’s own pup call, 0.5 for entering the playback zone of a non-own pup call, and 0 for remaining in the waiting zone.Exp2-MomLatency: Latency from playback onset to the mother’s first movement out of waiting zone is shown by postnatal day under no-pup condition. (×) denotes no response; (―) denotes trial conditions that were not tested.For further information regarding Exp1 data, please refer to the tables and figures contained in our paper.
DOI: 10.5281/zenodo.18181669
title: Data for: Quantifying the regulatory mechanisms of alpine meadows on slope hydro-thermal dynamics and stability under climate warming and humidification
DOI: 10.15468/dl.v3pgax
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solidago canadensis"
 ]
}

 The dataset includes 165 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081031-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18181668
title: Data for: Quantifying the regulatory mechanisms of alpine meadows on slope hydro-thermal dynamics and stability under climate warming and humidification
DOI: 10.5281/zenodo.18181693
title: "Emotional Intelligence and Individual Adaptability: The Moderating Role of Tenure"

description: This dataset, "Emotional Intelligence and Individual Adaptability: The Moderating Role of Tenure," was collected from university teachers at multiple universities in China between October and December 2025 via the Wenjuanxing online survey platform. Using a convenience sampling approach, a total of 439 valid questionnaires were obtained. The dataset was used to examine the relationships among emotional intelligence, perceived organizational support, career adaptability, and tenure.

 

The dataset includes demographic variables and key psychological factors, including emotional intelligence, perceived organizational support, and career adaptability, with tenure examined as a moderating variable. These data provide insights into the resource-based mechanisms linking emotional intelligence and career adaptability among university teachers, offering clear directions for faculty development initiatives and organizational interventions aimed at enhancing teachers’ adaptive capacity in higher education contexts.
DOI: 10.5281/zenodo.18181694
title: "Emotional Intelligence and Individual Adaptability: The Moderating Role of Tenure"

description: This dataset, "Emotional Intelligence and Individual Adaptability: The Moderating Role of Tenure," was collected from university teachers at multiple universities in China between October and December 2025 via the Wenjuanxing online survey platform. Using a convenience sampling approach, a total of 439 valid questionnaires were obtained. The dataset was used to examine the relationships among emotional intelligence, perceived organizational support, career adaptability, and tenure.

 

The dataset includes demographic variables and key psychological factors, including emotional intelligence, perceived organizational support, and career adaptability, with tenure examined as a moderating variable. These data provide insights into the resource-based mechanisms linking emotional intelligence and career adaptability among university teachers, offering clear directions for faculty development initiatives and organizational interventions aimed at enhancing teachers’ adaptive capacity in higher education contexts.
DOI: 10.57903/uj/qj3kfp
title: Effect of Silver Cations on Ethylene conversion on ZSM-5 zeolite - replication data

description: Structure, textural, and acidity factors of H- and Ag-ZSM-5 zeolites applied for ethylene conversion. The detailed spectroscopic insight form operando FT-IR-UV-vis spectroscopy and 2D COS analysis.
DOI: 10.57903/uj/doboow
title: Tailored Approach for Hierarchization of All-Silica Zeolites - replication data

description: The impacts of zeolite type structure, crystals properties and synthesis conditions on hierarchization feasibility of all-silica ITQ-29 (LTA), silicalite-1 (MFI), silicalite-2 (MEL) and beta (*BEA) zeolites were decoupled.
DOI: 10.15468/dl.59j8tm
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mystus armatus"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081033-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.