cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.evjktq
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parrya nauruaq"
 ]
}

 The dataset includes 26 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019161-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nzkv23hz3p.2
title: INO80/SWR Remodelers Regulate Pol II Transcription through BRD2 and Chromatin Landscape

description: The original Western blot images in the article
DOI: 10.17632/9zdww6wnyx
title: LIRA — INTERMODAL LANGUAGE FOR AFFECTIVE RECOGNITION

description: A multimodal database for recognizing emotions in music, composed of 1,412 records
covering five different modalities: chords, audio, lyrics, symbolics, and voice.
DOI: 10.17632/9zdww6wnyx.3
title: LIRA — INTERMODAL LANGUAGE FOR AFFECTIVE RECOGNITION

description: A multimodal database for recognizing emotions in music, composed of 1,412 records
covering five different modalities: chords, audio, lyrics, symbolics, and voice.
DOI: 10.17632/n58hwnx26b
title: Psychometric Properties of the Work Autonomy Scale in the Brazilian Context

description: This dataset was collected as part of a study aimed at examining the psychometric properties of the Work Autonomy Scale in a Brazilian sample. The study sought to test the scale’s internal structure, reliability, and validity, including measurement invariance across administration modes (online vs. paper-and-pencil) and job roles (leadership vs. non-leadership positions).

The research was based on six hypotheses, including expectations of a three-factor structure (method, scheduling, and criteria autonomy), adequate internal consistency, measurement invariance, and positive correlations with job satisfaction and affective organizational commitment. Data were collected from 718 Brazilian workers aged 18 to 74 years from various states and occupational sectors. Participants had at least one year of formal employment and completed measures of work autonomy, job satisfaction, and affective organizational commitment, along with a sociodemographic questionnaire.

The final dataset includes responses to the nine items on work autonomy, five items on job satisfaction, five items on affective commitment, and detailed demographic information (e.g., age, gender, education, income, job sector, work modality, tenure, leadership role). Confirmatory factor analysis supported a second-order factor model of work autonomy.
DOI: 10.17632/n58hwnx26b.1
title: Psychometric Properties of the Work Autonomy Scale in the Brazilian Context

description: This dataset was collected as part of a study aimed at examining the psychometric properties of the Work Autonomy Scale in a Brazilian sample. The study sought to test the scale’s internal structure, reliability, and validity, including measurement invariance across administration modes (online vs. paper-and-pencil) and job roles (leadership vs. non-leadership positions).

The research was based on six hypotheses, including expectations of a three-factor structure (method, scheduling, and criteria autonomy), adequate internal consistency, measurement invariance, and positive correlations with job satisfaction and affective organizational commitment. Data were collected from 718 Brazilian workers aged 18 to 74 years from various states and occupational sectors. Participants had at least one year of formal employment and completed measures of work autonomy, job satisfaction, and affective organizational commitment, along with a sociodemographic questionnaire.

The final dataset includes responses to the nine items on work autonomy, five items on job satisfaction, five items on affective commitment, and detailed demographic information (e.g., age, gender, education, income, job sector, work modality, tenure, leadership role). Confirmatory factor analysis supported a second-order factor model of work autonomy.
DOI: 10.17632/5vb2kds993
title: Fire and non-fire forest dataset

description: # Dataset Description: Forest Fire Image Dataset (Generated with Stable Diffusion 2.1)

This dataset was created using the Stable Diffusion 2.1 model to support research in automated forest fire detection. It contains synthetically generated images across two distinct classes:

* Fire
* Non-Fire

#Dataset Composition

Total Classes: 2 (Fire, Non-Fire)
Images per Class: 1000
Total Images: 2,000
Image Resolutions:

 768 × 768 pixels
Image Format: All images are in PNG format

#Class Details

Fire Class:
 Includes a wide variety of forest fire scenarios, primarily focused on surface-level forest fires. Images depict fires from multiple angles and viewpoints, such as:

 * Ground-level perspectives
 * Aerial (sky-to-surface) views
 * Close-ups and panoramic scenes
 This diversity ensures robust representation of real-world fire conditions.

Non-Fire Class:
 Comprises natural forest and landscape scenes without any signs of fire, providing essential contrast for binary classification or detection tasks.

#Purpose

This dataset is intended for use in:

* Forest fire detection using computer vision and AI
* Training and evaluating deep learning models
* Exploring the effectiveness of synthetic data in hazard monitoring tasks
DOI: 10.17632/5vb2kds993.2
title: Fire and non-fire forest dataset

description: # Dataset Description: Forest Fire Image Dataset (Generated with Stable Diffusion 2.1)

This dataset was created using the Stable Diffusion 2.1 model to support research in automated forest fire detection. It contains synthetically generated images across two distinct classes:

* Fire
* Non-Fire

#Dataset Composition

Total Classes: 2 (Fire, Non-Fire)
Images per Class: 1000
Total Images: 2,000
Image Resolutions:

 768 × 768 pixels
Image Format: All images are in PNG format

#Class Details

Fire Class:
 Includes a wide variety of forest fire scenarios, primarily focused on surface-level forest fires. Images depict fires from multiple angles and viewpoints, such as:

 * Ground-level perspectives
 * Aerial (sky-to-surface) views
 * Close-ups and panoramic scenes
 This diversity ensures robust representation of real-world fire conditions.

Non-Fire Class:
 Comprises natural forest and landscape scenes without any signs of fire, providing essential contrast for binary classification or detection tasks.

#Purpose

This dataset is intended for use in:

* Forest fire detection using computer vision and AI
* Training and evaluating deep learning models
* Exploring the effectiveness of synthetic data in hazard monitoring tasks
DOI: 10.15468/dl.nnkjz7
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gongylocarpus rubricaulis"
 ]
}

 The dataset includes 220 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019163-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dp9gbwpwjb
title: The Blame Game in Ethical Fashion: How Moral Reactance, Narcissism, and Ethical Overwhelm Impact Ethical Fashion Consumerism

description: Three experimental studies were conducted - in a trade fair, at a mall and on Prolific to collect data to study our hypotheses - blame attribution by influencers leads to ethical fashion consumerism (H1). Moral reactance mediates the direct relationship (H2). Narcissism accentuates the direct (H3a) and attenuates the indirect (H3b) effects. Ethical overwhelm attenuates the direct (H4a) and indirect effects (H4b). Same set of stimuli in the form of vignettes and screenshots of influencers' Instagram posts were used for Studies 1 & 2. A different set of stimuli in the form of vignettes and screenshots of influencers' Instagram posts were used for Study 3. Prior to conducting the main studies, two pre-tests were conducted to check the manipulations for blame attribution (Pretest for Study 1 & 3) and ethical overwhelm (Pretest for Study 3).
DOI: 10.17632/dp9gbwpwjb.1
title: The Blame Game in Ethical Fashion: How Moral Reactance, Narcissism, and Ethical Overwhelm Impact Ethical Fashion Consumerism

description: Three experimental studies were conducted - in a trade fair, at a mall and on Prolific to collect data to study our hypotheses - blame attribution by influencers leads to ethical fashion consumerism (H1). Moral reactance mediates the direct relationship (H2). Narcissism accentuates the direct (H3a) and attenuates the indirect (H3b) effects. Ethical overwhelm attenuates the direct (H4a) and indirect effects (H4b). Same set of stimuli in the form of vignettes and screenshots of influencers' Instagram posts were used for Studies 1 & 2. A different set of stimuli in the form of vignettes and screenshots of influencers' Instagram posts were used for Study 3. Prior to conducting the main studies, two pre-tests were conducted to check the manipulations for blame attribution (Pretest for Study 1 & 3) and ethical overwhelm (Pretest for Study 3).
DOI: 10.17632/w65jtfsvpr
title: Spatial dynamics of the developing human heart, part 2

description: During human embryogenesis, the heart forms its major structures through intricate interplays between various cardiac cell types in a topographically defined manner. To address spatial dynamics in the developing heart, we generated a comprehensive cardiac cell atlas by combining single cell and spatial transcriptomics approaches with validations using subcellular imaging-based transcriptomics. By analyzing almost 80 000 single cells and 70 000 spatially barcoded tissue regions from hearts collected between postconceptional weeks 5.5 and 14, we identified 11 coarse- and 72 fine-grained cell types and states, spatially linked them to structural components of the developing human heart, and predicted molecular interactions in finely resolved cellular niches of the fetal heart. We provide novel insight into the specification of the pacemaker and conduction system and formation of cardiac valves and atrial septum, and decipher heterogeneity of the elusive cardiac fibroblast population. Furthermore, we present the early development of cardiac autonomic innervation and provide the first account of chromaffin cells in the human embryonic heart. In summary, our study delineates the cellular and molecular landscape of early human cardiogenesis, offering links between architecture of the developing heart to genetic causes of heart disease.

In this repository, you find the most important RDS objects that can help rerun the analysis. Note that to run every script, you will need supplementary objects which can be easily recreated from the shared ones, or from the processed data shared on the Mendeley repository, part 1.
DOI: 10.17632/w65jtfsvpr.1
title: Spatial dynamics of the developing human heart, part 2

description: During human embryogenesis, the heart forms its major structures through intricate interplays between various cardiac cell types in a topographically defined manner. To address spatial dynamics in the developing heart, we generated a comprehensive cardiac cell atlas by combining single cell and spatial transcriptomics approaches with validations using subcellular imaging-based transcriptomics. By analyzing almost 80 000 single cells and 70 000 spatially barcoded tissue regions from hearts collected between postconceptional weeks 5.5 and 14, we identified 11 coarse- and 72 fine-grained cell types and states, spatially linked them to structural components of the developing human heart, and predicted molecular interactions in finely resolved cellular niches of the fetal heart. We provide novel insight into the specification of the pacemaker and conduction system and formation of cardiac valves and atrial septum, and decipher heterogeneity of the elusive cardiac fibroblast population. Furthermore, we present the early development of cardiac autonomic innervation and provide the first account of chromaffin cells in the human embryonic heart. In summary, our study delineates the cellular and molecular landscape of early human cardiogenesis, offering links between architecture of the developing heart to genetic causes of heart disease.

In this repository, you find the most important RDS objects that can help rerun the analysis. Note that to run every script, you will need supplementary objects which can be easily recreated from the shared ones, or from the processed data shared on the Mendeley repository, part 1.
DOI: 10.15468/dl.g57ajw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Deyeuxia hallieriana, Catapodium demnatense, Catapodium demnatensis, Festuca demnatensis, Nardurus demnatensis, Wangenheimia demnatensis, Cinna arundinacea, Agrostis cinna, Agrostis cinna, Agrostis cinna)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019164-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fhtb99mdzd
title: Spatial dynamics of the developing human heart, part 1

description: During human embryogenesis, the heart forms its major structures through intricate interplays between various cardiac cell types in a topographically defined manner. To address spatial dynamics in the developing heart, we generated a comprehensive cardiac cell atlas by combining single cell and spatial transcriptomics approaches with validations using subcellular imaging-based transcriptomics. By analyzing almost 80 000 single cells and 70 000 spatially barcoded tissue regions from hearts collected between postconceptional weeks 5.5 and 14, we identified 11 coarse- and 72 fine-grained cell types and states, spatially linked them to structural components of the developing human heart, and predicted molecular interactions in finely resolved cellular niches of the fetal heart. We provide novel insight into the specification of the pacemaker and conduction system and formation of cardiac valves and atrial septum, and decipher heterogeneity of the elusive cardiac fibroblast population. Furthermore, we present the early development of cardiac autonomic innervation and provide the first account of chromaffin cells in the human embryonic heart. In summary, our study delineates the cellular and molecular landscape of early human cardiogenesis, offering links between architecture of the developing heart to genetic causes of heart disease.

In this repository, you find the processed data such as Cellranger outputs, Spaceranger outputs, ISS gene list and images, Extended data tables and figures and metadata needed in the scripts.
DOI: 10.17632/fhtb99mdzd.1
title: Spatial dynamics of the developing human heart, part 1

description: During human embryogenesis, the heart forms its major structures through intricate interplays between various cardiac cell types in a topographically defined manner. To address spatial dynamics in the developing heart, we generated a comprehensive cardiac cell atlas by combining single cell and spatial transcriptomics approaches with validations using subcellular imaging-based transcriptomics. By analyzing almost 80 000 single cells and 70 000 spatially barcoded tissue regions from hearts collected between postconceptional weeks 5.5 and 14, we identified 11 coarse- and 72 fine-grained cell types and states, spatially linked them to structural components of the developing human heart, and predicted molecular interactions in finely resolved cellular niches of the fetal heart. We provide novel insight into the specification of the pacemaker and conduction system and formation of cardiac valves and atrial septum, and decipher heterogeneity of the elusive cardiac fibroblast population. Furthermore, we present the early development of cardiac autonomic innervation and provide the first account of chromaffin cells in the human embryonic heart. In summary, our study delineates the cellular and molecular landscape of early human cardiogenesis, offering links between architecture of the developing heart to genetic causes of heart disease.

In this repository, you find the processed data such as Cellranger outputs, Spaceranger outputs, ISS gene list and images, Extended data tables and figures and metadata needed in the scripts.
DOI: 10.17632/8fng4srkz3.1
title: Pearson and Spearman coefficients from a parametric study

description: This document contains figures with Pearson and Spearman coefficients obtained in a parametric study.
DOI: 10.17632/rdbyvy2c4d
title: The Impact of Environmental Information Disclosure on Green Technology Innovation: Evidence from Chinese listed enterprises

description: Environmental Information Disclosure; Green Technology Innovation
DOI: 10.17632/rdbyvy2c4d.1
title: The Impact of Environmental Information Disclosure on Green Technology Innovation: Evidence from Chinese listed enterprises

description: Environmental Information Disclosure; Green Technology Innovation
DOI: 10.17632/6mc75cmv7b
title: SARS-CoV-2 infection drives local inflammation of the intestinal epithelium in immunocompromised patients with cancer

description: GeoMx Digital Spatial Profiling is a probe-based sequencing method to detect RNA spatially in tissue. We used the GeoMx Human Whole Transcriptome Atlas (18,816 genes) to sequence our tissue samples for the three patients. The Illumina FASTQ sequence files were mapped to each sample and processed to raw counts using the GeoMx NGS pipeline with default settings. The spatially oriented transcriptomes were selected by areas or interest (AOIs) that were positively stained by PanCK and CD45. The resulting data processing and quality control were performed on each AOIs. The limit of quantification (LOQ) was set to be the geometric mean of the negative control probes multiplied by the squared standard deviation of the negative control probes. Low probe count AOIs, AOIs with less than 5% of genes above the LOQ, and genes with less than 5% of AOIs above the LOQ were removed. The counts were then normalized using variance stabilizing normalization (VSN) for subsequent analyses.
DOI: 10.17632/6mc75cmv7b.1
title: SARS-CoV-2 infection drives local inflammation of the intestinal epithelium in immunocompromised patients with cancer

description: GeoMx Digital Spatial Profiling is a probe-based sequencing method to detect RNA spatially in tissue. We used the GeoMx Human Whole Transcriptome Atlas (18,816 genes) to sequence our tissue samples for the three patients. The Illumina FASTQ sequence files were mapped to each sample and processed to raw counts using the GeoMx NGS pipeline with default settings. The spatially oriented transcriptomes were selected by areas or interest (AOIs) that were positively stained by PanCK and CD45. The resulting data processing and quality control were performed on each AOIs. The limit of quantification (LOQ) was set to be the geometric mean of the negative control probes multiplied by the squared standard deviation of the negative control probes. Low probe count AOIs, AOIs with less than 5% of genes above the LOQ, and genes with less than 5% of AOIs above the LOQ were removed. The counts were then normalized using variance stabilizing normalization (VSN) for subsequent analyses.
DOI: 10.17632/2k63rtp5rm
title: Healthcare resource utilization and economic burden in generalized pustular psoriasis (GPP) among US adults: A large claims database analysis – Supplemental Material

description: Supplemental Table 1. Demographics for propensity score-matched cohorts
DOI: 10.17632/2k63rtp5rm.1
title: Healthcare resource utilization and economic burden in generalized pustular psoriasis (GPP) among US adults: A large claims database analysis – Supplemental Material

description: Supplemental Table 1. Demographics for propensity score-matched cohorts
DOI: 10.17632/7ztfnd5tjg
title: Peers' performance feedback

description: The compressed file contains data and Stata code to replicate the paper "Peers' performance feedback".
The data comprises all penalty kicks in knockout stages of World Cup and European Cup competitions in male soccer from 1976 to 2024
The purpose is to study how individual performance if affected by the preceding performance of teammates and rivals. That is, how individual productivity is influenced by feedback on peer's performance.
DOI: 10.17632/7ztfnd5tjg.4
title: Peers' performance feedback

description: The compressed file contains data and Stata code to replicate the paper "Peers' performance feedback".
The data comprises all penalty kicks in knockout stages of World Cup and European Cup competitions in male soccer from 1976 to 2024
The purpose is to study how individual performance if affected by the preceding performance of teammates and rivals. That is, how individual productivity is influenced by feedback on peer's performance.
DOI: 10.17632/w9k9jdr6z7
title: Microorganism survival curve and food safety of irradiated honey

description: the number of colonies in the irradiated samples was counted, and the results are shown in Data 1 and 2 in Data File . According to the results in Data 1 and 2 in Data File, it can be seen that the number of colonies decreases with the increase of the radiation dose until no colonies are seen at a dose of 15 kGy and above. Therefore, a dose of 15 kGy is the most appropriate dose for radiation. To determine the effect of irradiation on the physical and chemical properties of honey samples, results of the report Data 4 in Data File shows the properties of non-irradiated samples and Data 5 in Data File shows the properties of irradiated samples with 15 kGy dose. Data 5 shows the properties of honey in the most suitable dose (15 kGy) for sterilization. To investigate the effect of irradiation on the changes made in the chemical bonds of the irradiated honey samples, the FTIR transmission spectrum of the samples was obtained. Data 6 in Data File (SPSS file) shows the spectrum of the control sample and the irradiated samples with doses of 10 and 20 kGy. Statistical Analys: To understand the significant relationship between radiation doses and the reduction of the population of microorganisms in honey, we performed ANOVA on the data obtained from three times of cultivation of the control honey sample and the irradiated samples with different doses, the data of which are given in Data 1 in Data File and Data 2 in Data File. The results of this ANOVA are given in Data 7 in Data File. Also to quantitatively understand the effect of gamma radiation on the chemical environment of honey with increasing radiation dose, we calculated the correlation coefficient between the FTIR spectral data of samples S2, S3, S4, S5, S6 with the control sample S0 using SPSS software by the Spearman method and the results are shown in Data 8 in Data File.From the results of Data 7 in Data File, we see that irradiation up to a dose of 15 kGy has a coefficient of More than 0.995 was obtained between the entire wavenumber range of the spectrum of the irradiated samples and the control sample, which is almost constant with an accuracy of 0.005. However, with increasing the irradiation dose of the samples to 20 kGy, this coefficient decreased to 0.978, and for honey irradiation with a dose of 25 kGy, this coefficient decreased to 0.857, indicating that the effect of radiation on the chemical environment of honey at doses higher than 51 kGy is significant and that sterilization of honey up to a dose of 15 kGy does not destroy the food safety of irradiated honey.