cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13372980
title: EPA Priority 9 Wetland 4 (RGB) - Yona, Guam

description: This orthomosaic of Yona, Guam was created from 10 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields. This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.13372981
title: EPA Priority 9 Wetland 4 (RGB) - Yona, Guam

description: This orthomosaic of Yona, Guam was created from 10 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields. This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.15468/dl.xe94kt
title: Occurrence Download

description: A dataset containing 277955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "IucnRedListCategory is one of (CR, EN, VU)",
 "TaxonKey is Amphibia",
 "Year 2010-2025"
 ]
}

 The dataset includes 277955 records from 2252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000082-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.32536
title: The 5-methylcytosine methylation in PB2 gene of influenza virus interferes viral RNA replication and pathogenicity
title: The 5-methylcytosine methylation in PB2 gene of influenza virus interferes viral RNA replication and pathogenicity

description: As a pivotal epigenetic modification, 5-methylcytosine (m5C) plays significant roles in RNA stability, translation regulation, and cellular metabolism. Growing evidence suggests that m5C methylation is involved in the regulation of virus-host interactions. However, its function during influenza virus infections remains elusive. Here, we demonstrate for the first time that m5C methylation of the influenza virus PB2 gene, encoding a core polymerase subunit, acts as a negative regulator of viral infection. Loss of m5C modification in complementary PB2 RNA enhances its transcription and translation efficiency, facilitates polymerase binding to RNA, and promotes viral genomic RNA synthesis. The subsequent accumulation of RNA and polymerase proteins accelerates the nuclear export of viral ribonucleoprotein complexes, enhances progeny virion assembly and maturation, and ultimately leads to enhanced viral pathogenicity. Our findings reveal a novel mechanism by which m5C methylation fine-tunes influenza virus replication by suppressing viral RNA synthesis, and provide evidence for a previously unrecognized innate antiviral strategy centered on m5C-mediated epitranscriptomic regulation.
description: As a pivotal epigenetic modification, 5-methylcytosine (m5C) plays significant roles in RNA stability, translation regulation, and cellular metabolism. Growing evidence suggests that m5C methylation is involved in the regulation of virus-host interactions. However, its function during influenza virus infections remains elusive. Here, we demonstrate for the first time that m5C methylation of the influenza virus PB2 gene, encoding a core polymerase subunit, acts as a negative regulator of viral infection. Loss of m5C modification in complementary PB2 RNA enhances its transcription and translation efficiency, facilitates polymerase binding to RNA, and promotes viral genomic RNA synthesis. The subsequent accumulation of RNA and polymerase proteins accelerates the nuclear export of viral ribonucleoprotein complexes, enhances progeny virion assembly and maturation, and ultimately leads to enhanced viral pathogenicity. Our findings reveal a novel mechanism by which m5C methylation fine-tunes influenza virus replication by suppressing viral RNA synthesis, and provide evidence for a previously unrecognized innate antiviral strategy centered on m5C-mediated epitranscriptomic regulation.
DOI: 10.57760/sciencedb.33767
title: Single-nucleus atlas of camel liver development and comparison with cattle reveals adaptive metabolic functions
title: Single-nucleus atlas of camel liver development and comparison with cattle reveals adaptive metabolic functions

description: Camels adapt to the harsh conditions by storing fat, which highlights the need to understand their liver adaptations. This study uses single-nucleus RNA sequencing to create a developmental atlas of the Bactrian camel (Camelus bactrianus) liver across newborn, weaning, and adult stages, analyzing 57,036 cells and identifying 19 cell types, including hepatocytes, liver sinusoidal endothelial cells (LSECs), and immune cells. We identified a special LSEC subtype, not seen in cattle or humans, with high hepatocyte growth factor activator (HGFAC) expression that activates hepatocyte growth factor (HGF). Hepatocyte pseudotime trajectories show a shift from proliferative to metabolically mature states, with fatty acid metabolism gene expression matching changes in milk composition. Immune cell composition shifts from Kupffer cell dominance in newborns to T cell dominance in adults, with high conservation between adult camels and cattle. These results reveal liver biochemical adaptations that support camel resilience to arid conditions, providing insights for human liver studies and livestock breeding in harsh agricultural settings.
description: Camels adapt to the harsh conditions by storing fat, which highlights the need to understand their liver adaptations. This study uses single-nucleus RNA sequencing to create a developmental atlas of the Bactrian camel (Camelus bactrianus) liver across newborn, weaning, and adult stages, analyzing 57,036 cells and identifying 19 cell types, including hepatocytes, liver sinusoidal endothelial cells (LSECs), and immune cells. We identified a special LSEC subtype, not seen in cattle or humans, with high hepatocyte growth factor activator (HGFAC) expression that activates hepatocyte growth factor (HGF). Hepatocyte pseudotime trajectories show a shift from proliferative to metabolically mature states, with fatty acid metabolism gene expression matching changes in milk composition. Immune cell composition shifts from Kupffer cell dominance in newborns to T cell dominance in adults, with high conservation between adult camels and cattle. These results reveal liver biochemical adaptations that support camel resilience to arid conditions, providing insights for human liver studies and livestock breeding in harsh agricultural settings.
DOI: 10.15468/dl.ebks6c
title: Occurrence Download

description: A dataset containing 340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyrtostachys renda",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 340 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060008-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nanks3
title: Occurrence Download

description: A dataset containing 3495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from coordinates, Country derived from coordinates, Occurrence status inferred from individual count)",
 "TaxonKey is Lamprolepis smaragdina"
 ]
}

 The dataset includes 3495 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060013-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy8t2a
title: Occurrence Download

description: A dataset containing 5884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Archontophoenix cunninghamiana",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 5884 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060012-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szyx9r
title: Occurrence Download

description: A dataset containing 9453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from coordinates, Country derived from coordinates, Occurrence status inferred from individual count)",
 "TaxonKey is Lampropeltis californiae"
 ]
}

 The dataset includes 9453 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060014-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvfmyv
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((104.42614 -7.27847,115.01084 -9.11397,115.04143 -6.94196,106.50637 -5.50416,104.42614 -7.27847))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dipterocarpaceae"
 ]
}

 The dataset includes 531 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060016-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28713020
title: <sub>Examining Emotional Closeness and Its Impact on Emotion Attribution and Parochial Empathy Using Explicit and Implicit Measures</sub>

description: This data dictionary provides detailed descriptions of three datasets collected at different stages of the research. The first dataset corresponds to the pilot study, which was conducted to examine how the target population perceives emotions. These data include an initial assessment of how participants categorize and interpret emotions, helping to refine the design of the main study.The second and third datasets contain the raw data from the main study, which consists of two separate investigations. The first study focuses on explicit evaluations of emotions and empathic responses. This dataset includes variables related to the attribution of emotions to friends and foes, as well as self-reported empathy levels. The second study employs implicit methods, such as the Implicit Association Test (IAT), to explore unconscious processes in emotion attribution and empathic responses.This dictionary provides precise definitions for all variables across these three datasets, including variable names, possible values, and additional explanations regarding their usage. This documentation ensures that researchers can accurately interpret the data structure, conduct analyses with greater precision, and enhance the reproducibility of the study.
DOI: 10.6084/m9.figshare.28713020.v2
title: <sub>Examining Emotional Closeness and Its Impact on Emotion Attribution and Parochial Empathy Using Explicit and Implicit Measures</sub>

description: This data dictionary provides detailed descriptions of three datasets collected at different stages of the research. The first dataset corresponds to the pilot study, which was conducted to examine how the target population perceives emotions. These data include an initial assessment of how participants categorize and interpret emotions, helping to refine the design of the main study.The second and third datasets contain the raw data from the main study, which consists of two separate investigations. The first study focuses on explicit evaluations of emotions and empathic responses. This dataset includes variables related to the attribution of emotions to friends and foes, as well as self-reported empathy levels. The second study employs implicit methods, such as the Implicit Association Test (IAT), to explore unconscious processes in emotion attribution and empathic responses.This dictionary provides precise definitions for all variables across these three datasets, including variable names, possible values, and additional explanations regarding their usage. This documentation ensures that researchers can accurately interpret the data structure, conduct analyses with greater precision, and enhance the reproducibility of the study.
DOI: 10.6084/m9.figshare.28713020.v1
title: <sub>Examining Emotional Closeness and Its Impact on Emotion Attribution and Parochial Empathy Using Explicit and Implicit Measures</sub>

description: This data dictionary provides detailed descriptions of three datasets collected at different stages of the research. The first dataset corresponds to the pilot study, which was conducted to examine how the target population perceives emotions. These data include an initial assessment of how participants categorize and interpret emotions, helping to refine the design of the main study.The second and third datasets contain the raw data from the main study, which consists of two separate investigations. The first study focuses on explicit evaluations of emotions and empathic responses. This dataset includes variables related to the attribution of emotions to friends and foes, as well as self-reported empathy levels. The second study employs implicit methods, such as the Implicit Association Test (IAT), to explore unconscious processes in emotion attribution and empathic responses.This dictionary provides precise definitions for all variables across these three datasets, including variable names, possible values, and additional explanations regarding their usage. This documentation ensures that researchers can accurately interpret the data structure, conduct analyses with greater precision, and enhance the reproducibility of the study.
DOI: 10.5281/zenodo.17982883
title: Source data for "ATM Inhibition Enhances Knock-in Efficiency by Suppressing AAV-Induced Activation of Apoptotic Pathways"

description: Raw data of the figures
DOI: 10.5281/zenodo.17982882
title: Source data for "ATM Inhibition Enhances Knock-in Efficiency by Suppressing AAV-Induced Activation of Apoptotic Pathways"

description: Raw data of the figures
DOI: 10.5281/zenodo.17982706
title: ChoreoDrops: Experimental Data and Design Materials (Supplementary dataset to master's thesis and TEI paper)

description: ⚠ IMPORTANT NOTICE

This version contains preliminary data that does NOT reflectthe finalized experimental protocol and data structure.

The arrival counts and data interpretation in this version are incorrect.PLEASE DO NOT USE this version for analysis.

See Version 2 for the corrected and finalized dataset.

This dataset contains raw experimental data, design files,and demonstration videos supporting a master’s thesis anda peer-reviewed TEI paper on ChoreoDrops.

The dataset reports observed physical behaviors only anddoes not claim learning, agency, or computation.
DOI: 10.6084/m9.figshare.30918869
title: <b>Developing </b><b>Facial and </b><b>Speech</b><b> </b><b>Digital Tools for Clinical </b><b>Assessments of </b><b>Patients with </b><b>Huntington's Disease</b><b>: An </b><b>Exploratory</b><b>Study</b>

description: Facial dyskinesia and voice alterations are typical characteristics of Huntington’s disease, (HD). These two clinical features assessed using digital venues have been shown correlated with the progression of HD independently. However, no studies have investigated the synergistic effects of these two clinical features in a digital way, and their relationships with brain function remained unclear. In this study, we employed a standardized Python-based protocol to extract 17 facial featuresin four facial parts and 42 speech featuresinto five main clusters. HD patients exhibited distinctive facial and speech abnormalities compared to HC, including reduced blink frequency, prolonged blink intervals, and increased facial dyskinesia, as well as loudness, phonation instability, and temporal measures. Correlation analyses revealed that variability in upper facial movements and speech instability were not only associated with motor assessments, but also with cognitive function. Moreover, both facial and speechfeatures in HD correlated with brain structuraland functional changes via neuroimaging analysis. Collectively, our results suggest that the digital facial and speech features represent sensitive and accessible markers with neurobiological evidence for clinical assessment of HD
DOI: 10.6084/m9.figshare.30918869.v1
title: <b>Developing </b><b>Facial and </b><b>Speech</b><b> </b><b>Digital Tools for Clinical </b><b>Assessments of </b><b>Patients with </b><b>Huntington's Disease</b><b>: An </b><b>Exploratory</b><b>Study</b>

description: Facial dyskinesia and voice alterations are typical characteristics of Huntington’s disease, (HD). These two clinical features assessed using digital venues have been shown correlated with the progression of HD independently. However, no studies have investigated the synergistic effects of these two clinical features in a digital way, and their relationships with brain function remained unclear. In this study, we employed a standardized Python-based protocol to extract 17 facial featuresin four facial parts and 42 speech featuresinto five main clusters. HD patients exhibited distinctive facial and speech abnormalities compared to HC, including reduced blink frequency, prolonged blink intervals, and increased facial dyskinesia, as well as loudness, phonation instability, and temporal measures. Correlation analyses revealed that variability in upper facial movements and speech instability were not only associated with motor assessments, but also with cognitive function. Moreover, both facial and speechfeatures in HD correlated with brain structuraland functional changes via neuroimaging analysis. Collectively, our results suggest that the digital facial and speech features represent sensitive and accessible markers with neurobiological evidence for clinical assessment of HD
DOI: 10.15468/dl.vxunac
title: Occurrence Download

description: A dataset containing 9845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus patula",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 9845 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060017-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30918845.v1
title: A Quantitative Analysis of Agentic Pull Requests Across Languages and Task Types

description: This study presents a quantitative study of AI-generated Pull Requests (Agentic-PRs) to examine acceptance rates, commit structure, and reviewer interactions across 10 programming languages and 12 task types. For analysis, we use the AIDEV_POP dataset, which contains over 456,000 PRs by five AI agents in 61,000 popular GitHub repositories.
DOI: 10.15468/dl.ytb8zg
title: Occurrence Download

description: A dataset containing 1070 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrolimus punctata"
 ]
}

 The dataset includes 1070 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060018-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.