cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gfrmzgmkbt
title: Executive functions scale for university students: UEF-1

description: Introduction: Executive functions are a set of mental abilities that allow human beings to consciously regulate their behavior and, in a university setting, will have a significant impact on student success during professional training.

Objective: To develop a scale to assess executive functions in a university setting.

Method: Using a sample of 1,373 university students from Chile (663) and Ecuador (710) between 17 and 33 years old (Mage = 20.53, SD = 2.34). A study was carried out to analyze the psychometric properties of the instrument using a reliability and validity analysis for a scale that assesses executive functions: conscious monitoring of responsibilities, supervisory attentional system, conscious regulation of behavior, verification of behavior to learn, decision making, conscious regulation of emotions, and management of elements to solve tasks.

Results: Adequate internal consistency parameters were found between α = 0.71 and 0.85. The seven executive functions proposed on the scale correlated proportionally between r = 0.42 and 0.62. In the confirmatory factor analysis, good fit indices were obtained in the model of the seven executive functions x2(413) = 1649.14, p = &lt;0.001, CFI = 0.91, SRMR = 0.04 and RMSEA = 0.04.

Discussion: The research carried out reaches its conclusion stating that the scale that was developed has the psychometric properties to assess executive functions in the Latin American setting. The results regarding previous research and the contribution made in the line of research of executive functions are discussed.
DOI: 10.17632/gfrmzgmkbt.2
title: Executive functions scale for university students: UEF-1

description: Introduction: Executive functions are a set of mental abilities that allow human beings to consciously regulate their behavior and, in a university setting, will have a significant impact on student success during professional training.

Objective: To develop a scale to assess executive functions in a university setting.

Method: Using a sample of 1,373 university students from Chile (663) and Ecuador (710) between 17 and 33 years old (Mage = 20.53, SD = 2.34). A study was carried out to analyze the psychometric properties of the instrument using a reliability and validity analysis for a scale that assesses executive functions: conscious monitoring of responsibilities, supervisory attentional system, conscious regulation of behavior, verification of behavior to learn, decision making, conscious regulation of emotions, and management of elements to solve tasks.

Results: Adequate internal consistency parameters were found between α = 0.71 and 0.85. The seven executive functions proposed on the scale correlated proportionally between r = 0.42 and 0.62. In the confirmatory factor analysis, good fit indices were obtained in the model of the seven executive functions x2(413) = 1649.14, p = &lt;0.001, CFI = 0.91, SRMR = 0.04 and RMSEA = 0.04.

Discussion: The research carried out reaches its conclusion stating that the scale that was developed has the psychometric properties to assess executive functions in the Latin American setting. The results regarding previous research and the contribution made in the line of research of executive functions are discussed.
DOI: 10.17632/hx9rxh9y9y
title: Isolation and comprehensive characterization of bovine parvovirus 1 from diarrheic calves in Northeast China: insights into evolution and biology

description: Determination of bovine parvovirus TCID50
DOI: 10.17632/hx9rxh9y9y.2
title: Isolation and comprehensive characterization of bovine parvovirus 1 from diarrheic calves in Northeast China: insights into evolution and biology

description: Determination of bovine parvovirus TCID50
DOI: 10.17632/5zhs5k7xgd
title: Flood detection and Extend mapping using Sentinel-1 and Sentinel 2 in Oklahoma and Iowa (2016-2019)

description: This dataset includes Sentinel-1 and Sentinel-2 RGB composites, flood extent classifications, comparative analysis shapefiles (SAR vs MNDWI), time series plots, and supporting GIS layers used in the study titled "Assessing the Effectiveness of Multi-Temporal SAR Imagery for Flood Extent Mapping: Comparison with Optical Imagery in Two Study Areas"
DOI: 10.17632/5zhs5k7xgd.1
title: Flood detection and Extend mapping using Sentinel-1 and Sentinel 2 in Oklahoma and Iowa (2016-2019)

description: This dataset includes Sentinel-1 and Sentinel-2 RGB composites, flood extent classifications, comparative analysis shapefiles (SAR vs MNDWI), time series plots, and supporting GIS layers used in the study titled "Assessing the Effectiveness of Multi-Temporal SAR Imagery for Flood Extent Mapping: Comparison with Optical Imagery in Two Study Areas"
DOI: 10.17632/sfppmsg85v
title: Effectiveness of Biologics on synovitis and enthesitis using Musculoskeletal ultrasound assessment in subclinical psoriatic arthritis: A 12-week observational real-world study

description: Musculoskeletal ultrasound evaluation criteria for synovitis and attachment point inflammation;Musculoskeletal ultrasound image changes at baseline and 12 weeks;Comparison of synovitis and enthesitis scores between baseline and week 12
DOI: 10.17632/sfppmsg85v.1
title: Effectiveness of Biologics on synovitis and enthesitis using Musculoskeletal ultrasound assessment in subclinical psoriatic arthritis: A 12-week observational real-world study

description: Musculoskeletal ultrasound evaluation criteria for synovitis and attachment point inflammation;Musculoskeletal ultrasound image changes at baseline and 12 weeks;Comparison of synovitis and enthesitis scores between baseline and week 12
DOI: 10.17632/ck88dwffgd
title: BRAGAN: a GAN-augmented dataset of Brazilian roadkill animals for object detection

description: BRAGAN is a new dataset of Brazilian wildlife developed for object detection tasks, combining real images with synthetic samples generated by Generative Adversarial Networks (GANs). It focuses on five medium and large-sized mammal species frequently involved in roadkill incidents on Brazilian highways: lowland tapir (Tapirus terrestris), jaguarundi (Herpailurus yagouaroundi), maned wolf (Chrysocyon brachyurus), puma (Puma concolor), and giant anteater (Myrmecophaga tridactyla). Its primary goal is to provide a standardized and expanded resource for biodiversity conservation research, wildlife monitoring technologies, and computer vision applications, with an emphasis on automated wildlife detection.

The dataset builds upon the original BRA-Dataset by Ferrante et al. (2022), which was constructed from structured internet searches and manually curated with bounding box annotations. However, while the BRA-Dataset faced limitations in size and variability, BRAGAN introduces a new stage of dataset expansion through GAN-based synthetic image generation, substantially improving both the quantity and diversity of samples. In its final version, BRAGAN comprises approximately 9,238 images, divided into three main groups:

Real images — original photographs from the BRA-Dataset.
Total: 1,823.

Classically augmented images — transformations applied to real samples, including rotations (RT), horizontal flips (HF), vertical flips (VF), and horizontal (HS) and vertical shifts (VS).
Total: 7,300.

GAN-generated images — synthetic samples created using WGAN-GP models trained separately for each species on preprocessed subsets of the original data. All generated images underwent visual inspection to ensure morphological fidelity and proper framing before inclusion.
Total: 115.

The dataset follows an organized directory structure with images/ and labels/ folders, each divided into train/ and val/ subsets, following an 80–20 split. Images are provided in .jpg format, while annotations follow the YOLO standard in .txt files (class_id x_center y_center width height, with normalized coordinates). The file naming convention explicitly encodes the species and the augmentation type for reproducibility.

Designed to be compatible with multiple object detection architectures, BRAGAN has been evaluated on YOLOv5, YOLOv8, and YOLOv11 (variants n, s, and m), enabling the assessment of dataset expansion across different computational settings and performance requirements.

By combining real data, classical augmentations, and high-quality synthetic samples, the BRAGAN provides a valuable resource for wildlife detection, environmental monitoring, and conservation research, especially in contexts where image availability for rare or threatened species is limited.
DOI: 10.17632/ck88dwffgd.2
title: BRAGAN: a GAN-augmented dataset of Brazilian roadkill animals for object detection

description: BRAGAN is a new dataset of Brazilian wildlife developed for object detection tasks, combining real images with synthetic samples generated by Generative Adversarial Networks (GANs). It focuses on five medium and large-sized mammal species frequently involved in roadkill incidents on Brazilian highways: lowland tapir (Tapirus terrestris), jaguarundi (Herpailurus yagouaroundi), maned wolf (Chrysocyon brachyurus), puma (Puma concolor), and giant anteater (Myrmecophaga tridactyla). Its primary goal is to provide a standardized and expanded resource for biodiversity conservation research, wildlife monitoring technologies, and computer vision applications, with an emphasis on automated wildlife detection.

The dataset builds upon the original BRA-Dataset by Ferrante et al. (2022), which was constructed from structured internet searches and manually curated with bounding box annotations. However, while the BRA-Dataset faced limitations in size and variability, BRAGAN introduces a new stage of dataset expansion through GAN-based synthetic image generation, substantially improving both the quantity and diversity of samples. In its final version, BRAGAN comprises approximately 9,238 images, divided into three main groups:

Real images — original photographs from the BRA-Dataset.
Total: 1,823.

Classically augmented images — transformations applied to real samples, including rotations (RT), horizontal flips (HF), vertical flips (VF), and horizontal (HS) and vertical shifts (VS).
Total: 7,300.

GAN-generated images — synthetic samples created using WGAN-GP models trained separately for each species on preprocessed subsets of the original data. All generated images underwent visual inspection to ensure morphological fidelity and proper framing before inclusion.
Total: 115.

The dataset follows an organized directory structure with images/ and labels/ folders, each divided into train/ and val/ subsets, following an 80–20 split. Images are provided in .jpg format, while annotations follow the YOLO standard in .txt files (class_id x_center y_center width height, with normalized coordinates). The file naming convention explicitly encodes the species and the augmentation type for reproducibility.

Designed to be compatible with multiple object detection architectures, BRAGAN has been evaluated on YOLOv5, YOLOv8, and YOLOv11 (variants n, s, and m), enabling the assessment of dataset expansion across different computational settings and performance requirements.

By combining real data, classical augmentations, and high-quality synthetic samples, the BRAGAN provides a valuable resource for wildlife detection, environmental monitoring, and conservation research, especially in contexts where image availability for rare or threatened species is limited.
DOI: 10.17632/jxcr7x8585.1
title: Abundance and richness of arthropods at the edge of forests

description: Meta analysis data compared the abundance and richness of arthropods at forest edges and within forests. The inclusion or exclusion of literature list lists the 262 articles in the full-text screening stage, as well as the data extracted from them and the reasons for their exclusion.
DOI: 10.17632/f675cbz84s.1
title: MCA: A Multicellular analysis Calcium Imaging toolbox for ImageJ

description: Functional imaging using genetically encoded indicators, such as GCaMP, has become a foundational tool for in vivo experiments and allows for the analysis of cellular dynamics, sensory processing, and cellular communication. However, large scale or complex functional imaging experiments pose analytical challenges. Many programs have worked to create pipelines to address these challenges, however, most platforms require proprietary software, impose operational restrictions, offer limited outputs, or require significant knowledge of various programming languages, which collectively can limit utility. To address this, we designed MCA (a Multicellular Analysis toolkit) to work with ImageJ, a widely used open-source software which has been the standard image analysis platform for the last 30 years. We developed MCA to be visually intuitive, utilizing ImageJ’s platform to generate new images based on completed tasks so users can visually see each step in the analysis pipeline. In addition, MCA implements a user-friendly GUI providing a simple interface which resembles

other native ImageJ plugins. We incorporated functionality for rigid registration to correct motion artifacts, algorithms for cell body prediction, and methods for annotating cells and exporting data. For cell prediction, we trained a custom model in Cellpose 2.0 for segmentation of nuclei expressing pan-neuronal nuclear localized GCaMP in zebrafish. We validated the accuracy of MCA output to previously published zebrafish calcium imaging data which elicited visually evoked neuronal responses. To show the versatility of MCA, we also show that our software can be utilized for multiple sensory modalities, brain regions, and multiple model organisms including Drosophila and mouse. Together these data show that MCA is viable for extracting calcium dynamics in a user-friendly environment for multiple forms of functional imaging.
DOI: 10.17632/23cdrcvphw.1
title: Supporting Raw data for "Integrated Multi-Dimensional Tracking and Modeling Reveals Mechanical Regulation of Nanoparticle Endocytosis"

description: Supporting Raw data for "Integrated Multi-Dimensional Tracking and Modeling Reveals Mechanical Regulation of Nanoparticle Endocytosis"
DOI: 10.17632/79dz6n3fwg
title: Astragalus Polysaccharides Promote Skin Wound Healing by Regulating the miR-92a/FGF2 Axis

description: This study investigates APS regulation of fibroblast behavior via the miR-92a/FGF2 axis using FISH, WB, qPCR, functional assays, and RNA-seq. APS significantly enhanced HFF-1 proliferation/migration (p&lt;0.01), upregulated FGF2, and suppressed miR-92a. Mechanistically, miR-92a directly targeted FGF2 3'UTR (luciferase/FISH), inhibiting fibroblast activation. miR-92a overexpression blunted APS effects, while its inhibition rescued them. In rat wounds, APS accelerated closure by 40% (p&lt;0.001) and elevated FGF2, whereas miR-92a mimics impaired healing. RNA-seq identified 23 miR-92a/FGF2-regulated ECM reorganization targets. Collectively, APS promotes repair by suppressing miR-92a to activate FGF2—establishing miR-92a as a therapeutic checkpoint for enhancing APS-driven regeneration.
DOI: 10.17632/79dz6n3fwg.1
title: Astragalus Polysaccharides Promote Skin Wound Healing by Regulating the miR-92a/FGF2 Axis

description: This study investigates APS regulation of fibroblast behavior via the miR-92a/FGF2 axis using FISH, WB, qPCR, functional assays, and RNA-seq. APS significantly enhanced HFF-1 proliferation/migration (p&lt;0.01), upregulated FGF2, and suppressed miR-92a. Mechanistically, miR-92a directly targeted FGF2 3'UTR (luciferase/FISH), inhibiting fibroblast activation. miR-92a overexpression blunted APS effects, while its inhibition rescued them. In rat wounds, APS accelerated closure by 40% (p&lt;0.001) and elevated FGF2, whereas miR-92a mimics impaired healing. RNA-seq identified 23 miR-92a/FGF2-regulated ECM reorganization targets. Collectively, APS promotes repair by suppressing miR-92a to activate FGF2—establishing miR-92a as a therapeutic checkpoint for enhancing APS-driven regeneration.
DOI: 10.15468/dl.mxy4gv
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-105.43155 19.30992,-102.41246 19.30992,-102.41246 21.67911,-105.43155 21.67911,-105.43155 19.30992))",
 "HasGeospatialIssue is false",
 "TaxonKey is Leptonycteris yerbabuenae",
 "Year 2015-2025"
 ]
}

 The dataset includes 111 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026645-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kk4mb5t99h
title: VENTRICULAR ENLARGEMENT AND ASSOCIATED DISEASES

description: Patients who underwent a brain CT scan were grouped in dilated (Evans Index &gt;0.30) and non dilated (Evans Index &lt;0.30). From the software for healthcare, all listed diseases for each patient were recorded.
DOI: 10.15468/dl.kuuhg8
title: Occurrence Download

description: A dataset containing 6676580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-124.733 24.52,-66.949 24.52,-66.949 49.384,-124.733 49.384,-124.733 24.52))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is January",
 "Year is 2020"
 ]
}

 The dataset includes 6676580 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026608-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kk4mb5t99h.1
title: VENTRICULAR ENLARGEMENT AND ASSOCIATED DISEASES

description: Patients who underwent a brain CT scan were grouped in dilated (Evans Index &gt;0.30) and non dilated (Evans Index &lt;0.30). From the software for healthcare, all listed diseases for each patient were recorded.
DOI: 10.15468/dl.au4fuk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capra hircus",
 "Country is Haiti",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026644-250811113504898/datasets/export for details.
DOI: 10.17632/yg37xj2g4g.1
title: Forest edge carbon density

description: Meta analysis data comparing biomass carbon density and soil organic carbon density at forest edges and within forests.
DOI: 10.17632/jypsd478f6
title: Berwickshire Marine Reserve 2023-2024 horse mussel (Modiolus modiolus) data with survey details, summary data, and location data

description: With the help of Scottish Marine Environmental Enhancement Fund (SMEEF), Blue Marine Foundation, Project Baseline, Berwickshire Marine Reserve (BMR) and St Abbs Marine Station horse mussel (Modiolus modiolus) data was gathered in the Berwickshire Marine Reserve off the SE coast of Scotland. These datasets include a summary of the different transects conducted and approximate GPS locations of recorded horse mussel individuals (live) and shells. Data were collected in 2023 and 2024. Details on the survey methodology and data processing can be found in the report submitted to SMEEF or the Chapman et al. 2025 publication (details to follow). The data highlight five locations that may meet Priority Marine Feature (PMF) requirements for semi-infaunal horse mussel beds. Data are also available on Marine Recorder
DOI: 10.17632/jypsd478f6.2
title: Berwickshire Marine Reserve 2023-2024 horse mussel (Modiolus modiolus) data with survey details, summary data, and location data

description: With the help of Scottish Marine Environmental Enhancement Fund (SMEEF), Blue Marine Foundation, Project Baseline, Berwickshire Marine Reserve (BMR) and St Abbs Marine Station horse mussel (Modiolus modiolus) data was gathered in the Berwickshire Marine Reserve off the SE coast of Scotland. These datasets include a summary of the different transects conducted and approximate GPS locations of recorded horse mussel individuals (live) and shells. Data were collected in 2023 and 2024. Details on the survey methodology and data processing can be found in the report submitted to SMEEF or the Chapman et al. 2025 publication (details to follow). The data highlight five locations that may meet Priority Marine Feature (PMF) requirements for semi-infaunal horse mussel beds. Data are also available on Marine Recorder
DOI: 10.17632/sh3h9yr246
title: cork_oak_NDVI_trends

description: SPEI and NDVI data from 1984-2021 for continental Portugal and cork oak dominated areas of Portugal (respectively). NDVI data excludes areas which have changed land use or burned in the last decades. BRT and SAP dataframes contain data for a subset of points from cork oak dominated areas within Portugal, including slopes of change for NDVI, SPEI, AND climatic variables as well as edaphic and topographic data. Climatic data was derived from Terraclimate, NDVI data was derived from Landsat satellite images, soil data was derived from EPIC WebGIS Portugal, and topographic data was derived from NASA's digital terrain model.
DOI: 10.17632/sh3h9yr246.1
title: cork_oak_NDVI_trends

description: SPEI and NDVI data from 1984-2021 for continental Portugal and cork oak dominated areas of Portugal (respectively). NDVI data excludes areas which have changed land use or burned in the last decades. BRT and SAP dataframes contain data for a subset of points from cork oak dominated areas within Portugal, including slopes of change for NDVI, SPEI, AND climatic variables as well as edaphic and topographic data. Climatic data was derived from Terraclimate, NDVI data was derived from Landsat satellite images, soil data was derived from EPIC WebGIS Portugal, and topographic data was derived from NASA's digital terrain model.
DOI: 10.15468/dl.mzgskf
title: Occurrence Download

description: A dataset containing 621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Sirex noctilio",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 621 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026646-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cj5vdb
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capra hircus",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 364 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026647-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aahe24
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Sirex noctilio",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026648-250811113504898/datasets/export for details.