cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.30031189
title: Supporting data for PhD thesis "Pain Expression Shapes the Neural Mechanisms of Empathy in Autistic and Neurotypical Adults: Evidence from EEG and fNIRS"

description: Pain empathy, an ability to feel and understand others’ distress. Most pain empathy research has relied on using static and unnatural images of either body limbs or facial expressions, which failed to capture the dynamic nature of pain in real-life scenarios. While empathy is known to be altered in autistic adults, the underlying neural mechanisms are underexamined. To address these gaps, this dissertation has developed a kinetic pain empathy paradigm that featured animated videos with unfolding pain events followed by body gestures and facial expressions. Furthermore, by manipulating the congruence between these two pain expressions and involving both autistic and neurotypical adults, we examined the influence of the pain congruence on the neural mechanisms of empathy and to identify altered neural patterns in autistic adults.Study 1 (Chapter 2) used EEG data with 52 neurotypical adults. Multivariate pattern analysis revealed two-stage temporal dynamics of empathy. The findings highlight the crucial role of facial expressions in eliciting emotional arousal, while a later stage of cognitive reappraisal is highly involved in integrating different pain expressions. Study 2 (Chapter 3) utilized fNIRS with 40 neurotypical adults to examine the influence of the congruence on the spatial neural mechanisms of empathy. Two-level linear mixed models showed that brain regions associated with facial expression perception, empathy, and conflict resolution were significantly modulated by pain and congruence. These results suggest that individuals generate and adjust predictions as pain unfolds, showing greater empathy for genuine pain expressed through body gestures, which was more significant when body gestures were paired with congruent facial expressions. However, incongruent facial expressions with pain led to the most unpredictable errors, requiring greater cognitive effort.Study 3 (Chapter 4) compared EEG signals between 51 autistic adults and 58 neurotypical adults using the same paradigm as study 2. We found the comparable neural structure for empathy and conflict resolution between the two groups, but with different activation degrees. Autistic adults exhibited heightened emotional arousal to others’ pain and increased alertness to incongruent pairings in the early stage. In the late stage, autistic adults expended more cognitive resources for reappraisal, suggesting a specific weakness in the top-down cognitive reappraisal of social contexts in autistic adults. In sum, this dissertation used multimodal techniques, advanced analytical approach, and self-developed experimental paradigms to examine the neural mechanisms of pain empathy. These findings highlight the influence of dynamic pain expressions and their congruence on the neural patterns of empathy. This dissertation also identified specific neural patterns underlying altered empathy and conflict resolution patterns in autistic adults.<br>
DOI: 10.25442/hku.30031189.v1
title: Supporting data for PhD thesis "Pain Expression Shapes the Neural Mechanisms of Empathy in Autistic and Neurotypical Adults: Evidence from EEG and fNIRS"

description: Pain empathy, an ability to feel and understand others’ distress. Most pain empathy research has relied on using static and unnatural images of either body limbs or facial expressions, which failed to capture the dynamic nature of pain in real-life scenarios. While empathy is known to be altered in autistic adults, the underlying neural mechanisms are underexamined. To address these gaps, this dissertation has developed a kinetic pain empathy paradigm that featured animated videos with unfolding pain events followed by body gestures and facial expressions. Furthermore, by manipulating the congruence between these two pain expressions and involving both autistic and neurotypical adults, we examined the influence of the pain congruence on the neural mechanisms of empathy and to identify altered neural patterns in autistic adults.Study 1 (Chapter 2) used EEG data with 52 neurotypical adults. Multivariate pattern analysis revealed two-stage temporal dynamics of empathy. The findings highlight the crucial role of facial expressions in eliciting emotional arousal, while a later stage of cognitive reappraisal is highly involved in integrating different pain expressions. Study 2 (Chapter 3) utilized fNIRS with 40 neurotypical adults to examine the influence of the congruence on the spatial neural mechanisms of empathy. Two-level linear mixed models showed that brain regions associated with facial expression perception, empathy, and conflict resolution were significantly modulated by pain and congruence. These results suggest that individuals generate and adjust predictions as pain unfolds, showing greater empathy for genuine pain expressed through body gestures, which was more significant when body gestures were paired with congruent facial expressions. However, incongruent facial expressions with pain led to the most unpredictable errors, requiring greater cognitive effort.Study 3 (Chapter 4) compared EEG signals between 51 autistic adults and 58 neurotypical adults using the same paradigm as study 2. We found the comparable neural structure for empathy and conflict resolution between the two groups, but with different activation degrees. Autistic adults exhibited heightened emotional arousal to others’ pain and increased alertness to incongruent pairings in the early stage. In the late stage, autistic adults expended more cognitive resources for reappraisal, suggesting a specific weakness in the top-down cognitive reappraisal of social contexts in autistic adults. In sum, this dissertation used multimodal techniques, advanced analytical approach, and self-developed experimental paradigms to examine the neural mechanisms of pain empathy. These findings highlight the influence of dynamic pain expressions and their congruence on the neural patterns of empathy. This dissertation also identified specific neural patterns underlying altered empathy and conflict resolution patterns in autistic adults.<br>
DOI: 10.15468/dl.dgus46
title: Occurrence Download

description: A dataset containing 10148 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andryala ragusina"
 ]
}

 The dataset includes 10148 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054614-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h66am4
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parachondrostoma arrigonis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054617-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bw3ue
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larkinia grandis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 72 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054618-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17103012
title: Drone Sovereignty Layer™ Verification Kit v1.0 — The World's First Sovereign UAV Proof-of-Concept Dataset

description: Drone Sovereignty Layer™ (DSL) Verification Kit v1.0 represents the world’s first sovereign proof-of-concept dataset for UAV resilience, ethics, and trust.This package delivers a 20-scenario simulation registry, cryptographically sealed evidence artifacts, and an independent Python verification script.

Each scenario tests critical dimensions — from anti-jamming continuity and GPS spoofing tolerance, to ethical kill-switch enforcement and court-grade Proof-of-Engagement.All results are captured as immutable mission artifacts, linked by Merkle-DAG roots, timestamped with ChronoFlux™, and bound to post-quantum signatures (Dilithium-ready).

This dataset is a milestone: it demonstrates how nations can prove UAV sovereignty beyond claims, ensuring civilian protection, operational legitimacy, and export credibility.While this release is a Proof-of-Concept with synthetic values, the full operational framework remains sovereign and confidential.Mohamed@Mohamed.online
DOI: 10.5281/zenodo.17103013
title: Drone Sovereignty Layer™ Verification Kit v1.0 — The World's First Sovereign UAV Proof-of-Concept Dataset

description: Drone Sovereignty Layer™ (DSL) Verification Kit v1.0 represents the world’s first sovereign proof-of-concept dataset for UAV resilience, ethics, and trust.This package delivers a 20-scenario simulation registry, cryptographically sealed evidence artifacts, and an independent Python verification script.

Each scenario tests critical dimensions — from anti-jamming continuity and GPS spoofing tolerance, to ethical kill-switch enforcement and court-grade Proof-of-Engagement.All results are captured as immutable mission artifacts, linked by Merkle-DAG roots, timestamped with ChronoFlux™, and bound to post-quantum signatures (Dilithium-ready).

This dataset is a milestone: it demonstrates how nations can prove UAV sovereignty beyond claims, ensuring civilian protection, operational legitimacy, and export credibility.While this release is a Proof-of-Concept with synthetic values, the full operational framework remains sovereign and confidential.Mohamed@Mohamed.online
DOI: 10.5281/zenodo.17082440
title: SBF-SEM Dataset of "Breaking Free from the Acquisition Dogma for Volume Electron Microscopy"

description: This dataset contains the raw volume electron microscopy (VEM) data used for the experiments presented in Figure 2 and Figure 3 of our manuscript, "Breaking Free from the Acquisition Dogma for Volume Electron Microscopy". The data supports our findings on supervised and self-supervised denoising strategies for accelerating VEM acquisition. All data was acquired from a mouse brain tissue sample using a Serial Block-Face Scanning Electron Microscope (SBF-SEM). XY pixel size for all tiff stacks is 15 nm.

This repository is organized into two main parts corresponding to the figures in the paper:

1. Supervised Denoising

SBEM2-Z50-fast.tif: A 3D TIFF stack of the snapshot stack. This volume was acquired with 0.5us pixel dwell time and a 50 nm section thickness.

SBEM2-Z50-slow.tif: A 3D TIFF stack of the reference stack. This volume was acquired with 2us pixel dwell time and a 50 nm section thickness.

2. Self-Supervised Denoising on Ultra-Thin Sections

SBEM3-Z20-300.tif, SBEM3-Z25-300.tif, SBEM3-Z50-300.tif:  3D TIFF stacks with acquired with 20 nm, 25nm and 50nm section thickness, respectively. Each stack contains about 300 slices. These stacks serves as the input for our self-supervised denoising model.
DOI: 10.5281/zenodo.17082439
title: SBF-SEM Dataset of "Breaking Free from the Acquisition Dogma for Volume Electron Microscopy"

description: This dataset contains the raw volume electron microscopy (VEM) data used for the experiments presented in Figure 2 and Figure 3 of our manuscript, "Breaking Free from the Acquisition Dogma for Volume Electron Microscopy". The data supports our findings on supervised and self-supervised denoising strategies for accelerating VEM acquisition. All data was acquired from a mouse brain tissue sample using a Serial Block-Face Scanning Electron Microscope (SBF-SEM). XY pixel size for all tiff stacks is 15 nm.

This repository is organized into two main parts corresponding to the figures in the paper:

1. Supervised Denoising

SBEM2-Z50-fast.tif: A 3D TIFF stack of the snapshot stack. This volume was acquired with 0.5us pixel dwell time and a 50 nm section thickness.

SBEM2-Z50-slow.tif: A 3D TIFF stack of the reference stack. This volume was acquired with 2us pixel dwell time and a 50 nm section thickness.

2. Self-Supervised Denoising on Ultra-Thin Sections

SBEM3-Z20-300.tif, SBEM3-Z25-300.tif, SBEM3-Z50-300.tif:  3D TIFF stacks with acquired with 20 nm, 25nm and 50nm section thickness, respectively. Each stack contains about 300 slices. These stacks serves as the input for our self-supervised denoising model.
DOI: 10.5281/zenodo.17096292
title: LTMiner

description: LTMiner (Long Tail Miner) aims to mine rare patterns from large-scale software systems and check their violations to detect potential bugs. By leveraging large code models and word embeddings, we rank and filter violations of rare patterns based on contextual semantics, highlighting the interesting ones.
DOI: 10.5281/zenodo.17096293
title: LTMiner

description: LTMiner (Long Tail Miner) aims to mine rare patterns from large-scale software systems and check their violations to detect potential bugs. By leveraging large code models and word embeddings, we rank and filter violations of rare patterns based on contextual semantics, highlighting the interesting ones.
DOI: 10.5517/ccdc.csd.cc2n2v7v
title: CCDC 2445597: Experimental Crystal Structure Determination

description: Related Article: Xiu-Li Hao, Chen-Hao Zhang, Chen-Kun Feng, Tian-Ru Su, Mei-mei Zhao, Yan-Zhen Wen|2025|New J.Chem.|49|14874|doi:10.1039/D5NJ02349A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p28hk
title: CCDC 2474838: Experimental Crystal Structure Determination

description: Related Article: Kushik, Mirko Rippke, Hans-Joachim Drexler, Fabian Dankert, Christian Hering-Junghans, Torsten Beweries|2025|Dalton Trans.|54|12913|doi:10.1039/D5DT01734C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p38cg
title: CCDC 2475795: Experimental Crystal Structure Determination

description: Related Article: Yiwei Zhang, Shuvendu Saha, Yesen Cheng, Yannik C. C. Esser, Chi P. Ting|2025|J.Am.Chem.Soc.|147|30661|doi:10.1021/jacs.5c03669
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.tdpum5
title: Occurrence Download

description: A dataset containing 288325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Teiidae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 288325 records from 621 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054558-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25955/29334680
title: Dataset for "The trophic transfer of pharmaceuticals and personal care products: a global systematic review and meta-analysis"

description: R_Markdown_Meta_Analysis.html - R Markdown for the meta-analysis described in the associated manuscript<br>All_Data_Export_Trophic_Transfer.csv - Contains the final dataset used for analysisLitData.csv - Contains Data from Literature SearchPharma_Data.csv - Contains Data from WebchemSpecies_List.csv - Contains a Species List for Taxonomic PurposesCOMPTOX_Data.csv - Contains Data from EPA COMPTOX predicted values only from OPREACOMPTOX_Physprop.csv - Contains Data from EPA exported from Physprop<br>Abstract: Ecosystems harbour increasing levels of pharmaceuticals and personal care products (PPCPs), with industrial and domestic waste as key sources of input. Yet knowledge of how these contaminants move through food webs is lacking for many compounds, limiting our understanding of the potential ramifications. We conducted a systematic review following PRISMA guidelines to quantify global knowledge on trophic transfer of PPCPs. We extracted empirical data from 44 publications that observed field-based trophic transfer of PPCPs. We extracted or calculated trophic magnifications factors for 75 PPCPs and compiled a database of physicochemical properties of each PPCP. Over half of the studied compounds exhibited at least one instance of trophic magnification. Antimicrobials such as enrofloxacin and the sulfonamides were commonly shown to magnify through food webs. We found no global correlation of trophic magnification factor with bioconcentration factor, nor with physicochemical parameters typically used to predict bioaccumulation such as LogP, LogD, LogK<sub>OA,</sub> and molecular weight. Our analysis highlights a high degree of variability in reported PPCP bioconcentrations and trophic magnifications among studies of the same class of PPCPs, suggesting that trophic magnification may be highly context dependent. This paper presents the most comprehensive review of the literature on trophic transfer of pharmaceuticals to date, with important implications for characterizing patterns among groups of compounds and highlighting knowledge gaps regarding ecosystems and PPCPs. The work underlines that field-derived empirical measurements of TMF for PPCPs are an important component of contaminant risk assessment and regulation.
DOI: 10.25955/29334680.v1
title: Dataset for "The trophic transfer of pharmaceuticals and personal care products: a global systematic review and meta-analysis"

description: All_Data_Export_Trophic_Transfer #Contains the final dataset used for analysisLitData #Contains Data from Literature SearchPharma_Data # Contains Data from WebchemSpecies_List # Contains a Species List for Taxonomic PurposesCOMPTOX_Data # Contains Data from EPA COMPTOX predicted values only from OPREACOMPTOX_Physprop #Contains Data from EPA exported from Physprop<br>Abstract: Ecosystems harbour increasing levels of pharmaceuticals and personal care products (PPCPs), with industrial and domestic waste as key sources of input. Yet knowledge of how these contaminants move through food webs is lacking for many compounds, limiting our understanding of the potential ramifications. We conducted a systematic review following PRISMA guidelines to quantify global knowledge on trophic transfer of PPCPs. We extracted empirical data from 44 publications that observed field-based trophic transfer of PPCPs. We extracted or calculated trophic magnifications factors for 75 PPCPs and compiled a database of physicochemical properties of each PPCP. Over half of the studied compounds exhibited at least one instance of trophic magnification. Antimicrobials such as enrofloxacin and the sulfonamides were commonly shown to magnify through food webs. We found no global correlation of trophic magnification factor with bioconcentration factor, nor with physicochemical parameters typically used to predict bioaccumulation such as LogP, LogD, LogK<sub>OA,</sub> and molecular weight. Our analysis highlights a high degree of variability in reported PPCP bioconcentrations and trophic magnifications among studies of the same class of PPCPs, suggesting that trophic magnification may be highly context dependent. This paper presents the most comprehensive review of the literature on trophic transfer of pharmaceuticals to date, with important implications for characterizing patterns among groups of compounds and highlighting knowledge gaps regarding ecosystems and PPCPs. The work underlines that field-derived empirical measurements of TMF for PPCPs are an important component of contaminant risk assessment and regulation.
DOI: 10.25955/29334680.v2
title: Dataset for "The trophic transfer of pharmaceuticals and personal care products: a global systematic review and meta-analysis"

description: R_Markdown_Meta_Analysis.html - R Markdown for the meta-analysis described in the associated manuscript<br>All_Data_Export_Trophic_Transfer.csv - Contains the final dataset used for analysisLitData.csv - Contains Data from Literature SearchPharma_Data.csv - Contains Data from WebchemSpecies_List.csv - Contains a Species List for Taxonomic PurposesCOMPTOX_Data.csv - Contains Data from EPA COMPTOX predicted values only from OPREACOMPTOX_Physprop.csv - Contains Data from EPA exported from Physprop<br>Abstract: Ecosystems harbour increasing levels of pharmaceuticals and personal care products (PPCPs), with industrial and domestic waste as key sources of input. Yet knowledge of how these contaminants move through food webs is lacking for many compounds, limiting our understanding of the potential ramifications. We conducted a systematic review following PRISMA guidelines to quantify global knowledge on trophic transfer of PPCPs. We extracted empirical data from 44 publications that observed field-based trophic transfer of PPCPs. We extracted or calculated trophic magnifications factors for 75 PPCPs and compiled a database of physicochemical properties of each PPCP. Over half of the studied compounds exhibited at least one instance of trophic magnification. Antimicrobials such as enrofloxacin and the sulfonamides were commonly shown to magnify through food webs. We found no global correlation of trophic magnification factor with bioconcentration factor, nor with physicochemical parameters typically used to predict bioaccumulation such as LogP, LogD, LogK<sub>OA,</sub> and molecular weight. Our analysis highlights a high degree of variability in reported PPCP bioconcentrations and trophic magnifications among studies of the same class of PPCPs, suggesting that trophic magnification may be highly context dependent. This paper presents the most comprehensive review of the literature on trophic transfer of pharmaceuticals to date, with important implications for characterizing patterns among groups of compounds and highlighting knowledge gaps regarding ecosystems and PPCPs. The work underlines that field-derived empirical measurements of TMF for PPCPs are an important component of contaminant risk assessment and regulation.
DOI: 10.5281/zenodo.17103038
title: Do Acidic Habitats Act As Chytrid Refugia? Preliminary Insights From Lutruwita Amphibians
DOI: 10.5281/zenodo.17103037
title: Do Acidic Habitats Act As Chytrid Refugia? Preliminary Insights From Lutruwita Amphibians
DOI: 10.15468/dl.yfc2tu
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054625-250827131500795/datasets/export for details.