cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29256932
title: 3D refractive index tomograms of microalgae

description: Results from the PRIN 2022 PNRR Project:MicroFluidic platfOrm fOr The toMographic phAse micRoscopy of phytoplanKton assemblageS (FOOTMARKS)-CUP B53D23023980001. Finanziato dall'Unione Europea-NextGenerationEU.The shared data include 3D refractive index tomograms of microalgae measured in continuous flow onboard a lab on a chip platform in holographic flow tomography mode.FundingThis work was supported by Progetto PRIN 2022 PNRR P2022MA95R- microFluidic platfOrm fOr The toMographic phAse micRoscopy of phytoplanKton assemblageS (FOOTMARKS)-CUP B53D23023980001. Finanziato dall'Unione Europea-NextGenerationEU.
DOI: 10.6084/m9.figshare.29256932.v1
title: 3D refractive index tomograms of microalgae

description: Results from the PRIN 2022 PNRR Project:MicroFluidic platfOrm fOr The toMographic phAse micRoscopy of phytoplanKton assemblageS (FOOTMARKS)-CUP B53D23023980001. Finanziato dall'Unione Europea-NextGenerationEU.The shared data include 3D refractive index tomograms of microalgae measured in continuous flow onboard a lab on a chip platform in holographic flow tomography mode.FundingThis work was supported by Progetto PRIN 2022 PNRR P2022MA95R- microFluidic platfOrm fOr The toMographic phAse micRoscopy of phytoplanKton assemblageS (FOOTMARKS)-CUP B53D23023980001. Finanziato dall'Unione Europea-NextGenerationEU.
DOI: 10.17632/xsgcc434b7
title: Disease Modification in Psoriasis Through Early IL-17 Inhibitor Intervention: A Retrospective Cohort Study

description: This dataset contains seven supplementary tables enabling assessment of the disease-modifying effects of early IL-17A inhibitor intervention on psoriasis in a real-world cohort. Table 1 presents baseline laboratory parameters stratified by disease duration:USDD: Psoriasis duration≤1 year，LDD1:Psoriasis duration&gt;1 year;SDD:Psoriasis duration≤2 year,LDD2:Psoriasis duration&gt;2 year. Tables 2-3 identify predictors of PASI 100 achievement at 4 and 52 weeks via logistic regression, demonstrating that shorter disease duration significantly increases the likelihood of achieving PASI 100 at both timepoints. Table 4 compares baseline characteristics and discontinuation rates by recurrence status, showing significantly longer mean disease duration and higher discontinuation rates in the recurrence group. Table 5 establishes predictors of relapse through logistic regression, revealing that each additional year of disease duration increases relapse risk by 3% (OR=1.03, 95%CI=1.007-1.054, p=0.01). Table 6 examines relapse after IL-17A discontinuation in ultra-short disease duration (USDD: Psoriasis duration≤1 year) versus long duration (LDD1:Psoriasis duration&gt;1 year): After adjusting for baseline PASI, BSA, and other confounders, USDD showed 78.8% lower relapse risk (OR=0.212, 95%CI=0.055-0.826, p=0.025). Table 7 compares short disease duration (SDD:Psoriasis duration≤2 year) versus long duration (LDD2:Psoriasis duration&gt;2 year): SDD was associated with 70.5% reduced relapse risk (OR=0.295, 95%CI=0.099-0.874, p=0.028) after similar adjustments.
DOI: 10.17632/xsgcc434b7.1
title: Disease Modification in Psoriasis Through Early IL-17 Inhibitor Intervention: A Retrospective Cohort Study

description: This dataset contains seven supplementary tables enabling assessment of the disease-modifying effects of early IL-17A inhibitor intervention on psoriasis in a real-world cohort. Table 1 presents baseline laboratory parameters stratified by disease duration:USDD: Psoriasis duration≤1 year，LDD1:Psoriasis duration&gt;1 year;SDD:Psoriasis duration≤2 year,LDD2:Psoriasis duration&gt;2 year. Tables 2-3 identify predictors of PASI 100 achievement at 4 and 52 weeks via logistic regression, demonstrating that shorter disease duration significantly increases the likelihood of achieving PASI 100 at both timepoints. Table 4 compares baseline characteristics and discontinuation rates by recurrence status, showing significantly longer mean disease duration and higher discontinuation rates in the recurrence group. Table 5 establishes predictors of relapse through logistic regression, revealing that each additional year of disease duration increases relapse risk by 3% (OR=1.03, 95%CI=1.007-1.054, p=0.01). Table 6 examines relapse after IL-17A discontinuation in ultra-short disease duration (USDD: Psoriasis duration≤1 year) versus long duration (LDD1:Psoriasis duration&gt;1 year): After adjusting for baseline PASI, BSA, and other confounders, USDD showed 78.8% lower relapse risk (OR=0.212, 95%CI=0.055-0.826, p=0.025). Table 7 compares short disease duration (SDD:Psoriasis duration≤2 year) versus long duration (LDD2:Psoriasis duration&gt;2 year): SDD was associated with 70.5% reduced relapse risk (OR=0.295, 95%CI=0.099-0.874, p=0.028) after similar adjustments.
DOI: 10.25420/britishmuseum.29182580
title: Interview with Pero Gavran at Ularice - discussing drying

description: Interview with Pero Gavran discussing drying
DOI: 10.17632/nntt37pwf9.1
title: Youth Climate Actions: China & NZ
DOI: 10.17632/nntt37pwf9.2
title: Youth Climate Actions: China & NZ

description: This dataset contains survey responses from 1,034 young adults aged 18–30 years, including 520 participants from China and 514 from New Zealand. The survey was designed to assess a range of psychological variables related to climate change, including emotional responses (e.g., experienced emotions, anticipatory emotions, and emotional affinity towards nature), cognitive variables (e.g., biospheric values, environmental self-efficacy), and self-reported willingness to engage in various high-impact climate change mitigation behaviours.

The dataset has been used in two separate studies. The first study examined cross-cultural differences in the emotional and cognitive predictors of willingness to act on climate change. The second study applied audience segmentation techniques to identify latent psychological profiles in both countries and compared the behavioural willingness of each segment.

The dataset includes anonymized participant responses and variable labels. The respective publications provide full details of the measures used.
DOI: 10.17632/nntt37pwf9.3
title: Climate Actions: China & NZ

description: This dataset contains survey responses from 1,034 young adults aged 18–30 years, including 520 participants from China and 514 from New Zealand. The survey was designed to assess a range of psychological variables related to climate change, including emotional responses (e.g., experienced emotions, anticipatory emotions, and emotional affinity towards nature), cognitive variables (e.g., biospheric values, environmental self-efficacy), and self-reported willingness to engage in various high-impact climate change mitigation behaviours.

The dataset has been used in two separate studies. The first study examined cross-cultural differences in the emotional and cognitive predictors of willingness to act on climate change. The second study applied audience segmentation techniques to identify latent psychological profiles in both countries and compared the behavioural willingness of each segment.

The dataset includes anonymized participant responses and variable labels. The respective publications provide full details of the measures used.
DOI: 10.17632/nntt37pwf9.4
title: Climate Actions: China & NZ

description: This dataset contains survey responses from 1,034 young adults aged 18–30 years, including 520 participants from China and 514 from New Zealand. The survey was designed to assess a range of psychological variables related to climate change, including emotional responses (e.g., experienced emotions, anticipatory emotions, and emotional affinity towards nature), cognitive variables (e.g., biospheric and altruistic values, environmental self-efficacy), and self-reported willingness to engage in various high-impact climate change mitigation behaviours (5 transportation, 8 dietary, and 3 other behaviours).

The dataset has been used in two separate studies. The first study examined cross-cultural differences in the emotional and cognitive predictors of willingness to act on climate change. The second study applied audience segmentation techniques to identify latent psychological profiles in both countries and compared the behavioural willingness of each segment.

The dataset includes anonymized participant responses and variable labels. The respective publications provide full details of the measures used.
DOI: 10.15468/dl.5smnua
title: Occurrence Download

description: A dataset containing 1094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Palaemon pugio (Holthuis, 1949)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 2005"
 ]
}

 The dataset includes 1094 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025242-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nntt37pwf9.5
title: Climate Actions: China & NZ
DOI: 10.17632/mhb4zn3258
title: COFINFAD: Colombian Fintech Financial Analytics Dataset

description: Behavioral and transactional data from 48,723 customers of a Colombian fintech company, collected over 12 months from January 4, 2023, to December 29, 2023. Comprises 3,159,157 individual transactions and it's designed to support research on customer retention, financial behavior analysis, and digital financial service adoption in Latin American emerging markets.

- 57 variables covering demographics, transaction patterns, product adoption, and customer satisfaction
- Transaction values in Colombian Pesos (COP)
- Customer satisfaction scores on a 6-point scale
- Net Promoter Score (NPS) data
- Application usage metrics
- Churn probability indicators
- Geographic distribution across Colombian cities

For machine learning applications, this dataset is also available on Hugging Face: https://huggingface.co/datasets/luisdavidtrejosrojas/cofinfad
DOI: 10.17632/mhb4zn3258.1
title: COFINFAD: Colombian Fintech Financial Analytics Dataset

description: Behavioral and transactional data from 48,723 customers of a Colombian fintech company, collected over 12 months from January 4, 2023, to December 29, 2023. Comprises 3,159,157 individual transactions and it's designed to support research on customer retention, financial behavior analysis, and digital financial service adoption in Latin American emerging markets.

- 57 variables covering demographics, transaction patterns, product adoption, and customer satisfaction
- Transaction values in Colombian Pesos (COP)
- Customer satisfaction scores on a 6-point scale
- Net Promoter Score (NPS) data
- Application usage metrics
- Churn probability indicators
- Geographic distribution across Colombian cities

For machine learning applications, this dataset is also available on Hugging Face: https://huggingface.co/datasets/luisdavidtrejosrojas/cofinfad
DOI: 10.15468/dl.dfukm4
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lutra maculicollis nilotica Thomas, 1911",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025244-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7vdstwkrjr
title: RNA Biology 2025

description: WGCNA
DOI: 10.17632/7vdstwkrjr.1
title: RNA Biology 2025

description: WGCNA
DOI: 10.17632/6drcm3hy2h.1
title: Whole-Hemisphere BARseq profiles transcriptomic cell types and neuromodulatory gene expression at single-cell resolution

description: This dataset is the BARseq data used in the pre-print manuscript: "Cross-expression meta-analysis of 695 brain samples reveals coordinated gene expression across spatially adjacent cells"
DOI: 10.17632/6drcm3hy2h.2
title: Whole-Hemisphere BARseq profiles transcriptomic cell types and neuromodulatory gene expression at single-cell resolution

description: This dataset is the BARseq data used in the pre-print manuscript: "Cross-expression meta-analysis of 695 brain samples reveals coordinated gene expression across spatially adjacent cells"
DOI: 10.5281/zenodo.15574185
title: ViT Video Game Classification Dataset

description: 10000+ video game frames/images/screenshots across 10 genres (RPG, FPS, MOBA, Horror, Strategy, Roguelike, Platformer, Underwater, Racing, Fighting) for vision transformer (ViT) training.Note: There has been no data augmentation applied for this dataset. To prevent overfitting, it's recommended that you apply respective techniques after extracting the contents of the .zip file. For example, when defining the transforms applied to the images, you could do something like this:



transform = transforms.Compose([

    transforms.Resize((256, 256)), # ensure images are resized to 256x256

    transforms.RandomCrop(224), # random crop to 224x224    

    transforms.RandomHorizontalFlip(),

    transforms.RandomRotation(15),

    transforms.ColorJitter(brightness = 0.2, contrast = 0.2, saturation = 0.2, hue = 0.1),

    transforms.ToTensor(),

    transforms.Normalize(mean = [0.485, 0.456, 0.406], std = [0.229, 0.224, 0.225]),

    transforms.RandomErasing(p = 0.5, scale = (0.02, 0.1)) # for a cutout effect

])
DOI: 10.5281/zenodo.15574186
title: ViT Video Game Classification Dataset

description: 10000+ video game frames/images/screenshots across 10 genres (RPG, FPS, MOBA, Horror, Strategy, Roguelike, Platformer, Underwater, Racing, Fighting) for vision transformer (ViT) training.Note: There has been no data augmentation applied for this dataset. To prevent overfitting, it's recommended that you apply respective techniques after extracting the contents of the .zip file. For example, when defining the transforms applied to the images, you could do something like this:



transform = transforms.Compose([

    transforms.Resize((256, 256)), # ensure images are resized to 256x256

    transforms.RandomCrop(224), # random crop to 224x224    

    transforms.RandomHorizontalFlip(),

    transforms.RandomRotation(15),

    transforms.ColorJitter(brightness = 0.2, contrast = 0.2, saturation = 0.2, hue = 0.1),

    transforms.ToTensor(),

    transforms.Normalize(mean = [0.485, 0.456, 0.406], std = [0.229, 0.224, 0.225]),

    transforms.RandomErasing(p = 0.5, scale = (0.02, 0.1)) # for a cutout effect

])
DOI: 10.17632/5vhbp8kgnw
title: Sahhel

description: These data is used for usability testing of Sahhel: An AI-Driven IT Help Desk and Ticketing Mobile Application for Arabic Users
DOI: 10.17632/5vhbp8kgnw.1
title: Sahhel

description: These data is used for usability testing of Sahhel: An AI-Driven IT Help Desk and Ticketing Mobile Application for Arabic Users
DOI: 10.25420/britishmuseum.29170103
title: Salih Ohran forming a pot on his wheel, Liješevo.

description: Salih Ohran forming a pot on his wheel. He adds clay to form it upwards and then shapes the belly of the cooking pot, he then adds handles as well as decorations.
DOI: 10.25420/britishmuseum.29170106
title: Salih Ohran forming a pot on his wheel, Liješevo.

description: Salih Ohran forming a pot on his wheel. He adds clay to form it upwards and then shapes the belly of the cooking pot, he then adds handles as well as decorations.
DOI: 10.17632/3y6cgxpz2f.1
title: Vitamin D intervention improves episodic memory and reduces hippocampal inflammation in rats submitted to an experimental model of cerebral palsy

description: Processed data from the study entitled “Intervention with vitamin D improves episodic memory and reduces hippocampal inflammation in rats submitted to an experimental model of cerebral palsy”
DOI: 10.17632/3y6cgxpz2f
title: Vitamin D intervention improves recognition memory and reduces hippocampal inflammation in rats submitted to an experimental model of cerebral palsy

description: Processed data from the study entitled “Intervention with vitamin D improves recognition memory and reduces hippocampal inflammation in rats submitted to an experimental model of cerebral palsy”
DOI: 10.17632/3y6cgxpz2f.2
title: Vitamin D intervention improves recognition memory and reduces hippocampal inflammation in rats submitted to an experimental model of cerebral palsy

description: Processed data from the study entitled “Intervention with vitamin D improves recognition memory and reduces hippocampal inflammation in rats submitted to an experimental model of cerebral palsy”
DOI: 10.25420/britishmuseum.29169944
title: Salih Ohran, making two-handled cooking pot (lonac) on wooden wheel, Liješevo. Interview with Richard Carlton discussing how he learnt, why he started again in 1990s, methods of sale, etc (Much or all repeated in MVI_1661)

description: Salih Ohran, making two-handled cooking pot (lonac) on wooden wheel, Liješevo. Interview with Richard Carlton discussing how he learnt, why he started again in 1990s, methods of sale, etc (Much or all repeated in MVI_1661)
DOI: 10.25420/britishmuseum.29169743
title: Salih Ohran forming a pot on his wheel. Liješevo.

description: Salih Ohra flattening the base, then adding more height to the dish by pinching rolled lengths of clay onto the inner incipient rim.
DOI: 10.25420/britishmuseum.29169749
title: Salih Ohran forming a pot on his wheel. Liješevo.

description: Salih Ohra flattening the base, then adding more height to the dish by pinching rolled lengths of clay onto the inner incipient rim.
DOI: 10.25420/britishmuseum.29169545
title: Jusuf Ohran at his wheel in his workshop Liješevo making vessel (lonac) discussing working methods, when he started etc.

description: Jusuf Ohran at his wheel in his workshop Liješevo making vessel (lonac) discussing working methods, when he started etc.
DOI: 10.15468/dl.yfdj8y
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, North America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Culicoides paraensis (Goeldi, 1905)"
 ]
}

 The dataset includes 128 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025243-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ppsdc4hvy7
title: Success Factors for Cultivating Situated Learning in Projects

description: This is survey data of project managers on cultivating learning in projects
DOI: 10.17632/ppsdc4hvy7.1
title: Success Factors for Cultivating Situated Learning in Projects

description: This is survey data of project managers on cultivating learning in projects
DOI: 10.17632/mdtmb7yvz8.1
title: Crowd_Evacuation_Wargaming_dataset

description: This dataset constitutes the outcomes of simulations conducted in accordance with the model outlined in the paper titled "Wargame Thinking Reshaping Evacuation Dynamics: A Crowd Evacuation Model with Real-Time Emotional Adaptation." It encompasses four sub-datasets: Group_1_Experiment_Evacuation_Efficiency, Group_2_Experiment_Stampede_Characteristics_Analysis, Group_3_Experiment_Thermal_Impact_Assessment, and Group_4_Experiment_Emotion_Coefficient_Influence. This dataset can be employed to explore evacuation efficiency, investigate stampede characteristics during evacuation procedures, analyze the influence of environmental temperature on the evacuation process, and examine the role of emotions in evacuation scenarios. Data analysis reveals the occurrence of arching phenomena during evacuation, with individuals closer to fallen pedestrians being more prone to panic. Additionally, environmental temperature reduction was found to correlate with a notable increase in fall incidents, while the emotional decay rate demonstrated significant negative correlations with evacuation duration. These findings provide practical insights for refining crowd management strategies and emotional intervention protocols during evacuation procedures.
DOI: 10.17632/mdtmb7yvz8.2
title: Crowd_Evacuation_Wargaming_dataset

description: This dataset constitutes the outcomes of simulations conducted in accordance with the model outlined in the paper titled "Wargame Thinking Reshaping Evacuation Dynamics: A Crowd Evacuation Model with Real-Time Emotional Adaptation." It encompasses four sub-datasets: Group_1_Experiment_Evacuation_Efficiency, Group_2_Experiment_Stampede_Characteristics_Analysis, Group_3_Experiment_Thermal_Impact_Assessment, and Group_4_Experiment_Emotion_Coefficient_Influence. This dataset can be employed to explore evacuation efficiency, investigate stampede characteristics during evacuation procedures, analyze the influence of environmental temperature on the evacuation process, and examine the role of emotions in evacuation scenarios. Data analysis reveals the occurrence of arching phenomena during evacuation, with individuals closer to fallen pedestrians being more prone to panic. Additionally, environmental temperature reduction was found to correlate with a notable increase in fall incidents, while the emotional decay rate demonstrated significant negative correlations with evacuation duration. These findings provide practical insights for refining crowd management strategies and emotional intervention protocols during evacuation procedures.
DOI: 10.17632/mdtmb7yvz8
title: Crowd_Evacuation_Wargaming_dataset

description: This dataset constitutes the outcomes of simulations conducted in accordance with the model outlined in the paper titled "Wargame Thinking Reshaping Evacuation Dynamics: A Crowd Evacuation Model with Real-Time Emotional Adaptation." It encompasses four sub-datasets: Group_1_Experiment_Evacuation_Efficiency, Group_2_Experiment_Stampede_Characteristics_Analysis, Group_3_Experiment_Thermal_Impact_Assessment, and Group_4_Experiment_Emotion_Coefficient_Influence. This dataset can be employed to explore evacuation efficiency, investigate stampede characteristics during evacuation procedures, analyze the influence of environmental temperature on the evacuation process, and examine the role of emotions in evacuation scenarios. Data analysis reveals the occurrence of arching phenomena during evacuation, with individuals closer to fallen pedestrians being more prone to panic. Additionally, environmental temperature reduction was found to correlate with a notable increase in fall incidents, while the emotional decay rate demonstrated significant negative correlations with evacuation duration. These findings provide practical insights for refining crowd management strategies and emotional intervention protocols during evacuation procedures.