cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18770962
title: Data for - Theoretical and experimental study of Fano resonances in EUV photoabsorption of gold

description: Data for - Theoretical and experimental study of Fano resonances in EUV photoabsorption of gold
DOI: 10.5281/zenodo.18770961
title: Data for - Theoretical and experimental study of Fano resonances in EUV photoabsorption of gold

description: Data for - Theoretical and experimental study of Fano resonances in EUV photoabsorption of gold
DOI: 10.15468/dl.bujbwh
title: Occurrence Download

description: A dataset containing 221382 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursidae"
 ]
}

 The dataset includes 221382 records from 626 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009773-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18770314
title: Supplementary Animations: Spatio-Temporal Analysis of Urban Health Need Indices in Ahvaz (2015–2019)

description: This record contains animated GIF files illustrating the spatio-temporal variation of the Urban Health Need Index (UHNI) in Ahvaz, Iran, during 2015–2019.

The animations visualize spatial distribution patterns and temporal changes derived from GIS-based spatial analysis. These files are provided as supplementary visual materials to support the associated research study.
DOI: 10.5281/zenodo.18770313
title: Supplementary Animations: Spatio-Temporal Analysis of Urban Health Need Indices in Ahvaz (2015–2019)

description: This record contains animated GIF files illustrating the spatio-temporal variation of the Urban Health Need Index (UHNI) in Ahvaz, Iran, during 2015–2019.

The animations visualize spatial distribution patterns and temporal changes derived from GIS-based spatial analysis. These files are provided as supplementary visual materials to support the associated research study.
DOI: 10.15468/dl.hdqfck
title: Occurrence Download

description: A dataset containing 4084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trogon comptus",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4084 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009817-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18770491
title: AI4RISK ViDD - Violence Detection Dataset

description: The ViDD dataset was produced within the framework of the AI4RISK, contract no. 3Sol(T3)/02.09.2024. The ViDD acronym stands for Violence Detection Dataset. The Ethics Committee of Transilvania University of Brasov, Romania approved the experiments involving human participants. Each participant provided informed consent by signing a GDPR-compliant consent form prior to the recordings.

The dataset contains 7,301 video clips, each 2 seconds long, with a resolution of 320 × 240 pixels, a frame rate of 25 fps and stored in MP4 format. The videos were collected using four cameras to obtain four different perspectives of the same area. All faces were blurred and the filenames were randomized using a token consisting of 16 alphanumeric characters to improve privacy. All video clips were annotated independently by two persons and each sequence was carefully verified to ensure correct labeling. The dataset includes four violence categories: shooting (1), throwing (2), punching (3) and running and pushing (4), as well as a non-violence (0) class. The number of video clips per class is: 0 – 4,594, 1 – 624, 2 – 550, 3 – 687, 4 – 648. The main dataset directory contains a CSV file entitle clips_classes listing all clips and their corresponding labels (CSV header: filename, violence_type). The 2-second clips are stored in separate subdirectories by class. Additionally, each class directory contains a CSV file listing the clip names and their associated violence type. 

This dataset is ideal for a variety of applications and research, including:



Violence detection and classification - Training and testing models for automatic identification of violent acts in real-time or post-processing;

Smart surveillance systems - Developing solutions for security monitoring in public spaces, schools or other environments;

Human behavior analysis - Studying and recognizing complex human actions and interactions;

Computer vision research - Exploring neural architectures for action recognition, event detection and anomaly detection in video streams.


This work was funded by the Romanian Ministry of Research, Innovation and Digitalization, SOLUTIONS project entitled "Platform for fusion and management of multi-source data collections exploitable by artificial intelligence models for predictive estimation and analysis of risk situations (AI4RISK)”, contract no. 3Sol(T3)/02.09.2024
DOI: 10.5281/zenodo.18770490
title: AI4RISK ViDD - Violence Detection Dataset

description: The ViDD dataset was produced within the framework of the AI4RISK, contract no. 3Sol(T3)/02.09.2024. The ViDD acronym stands for Violence Detection Dataset. The Ethics Committee of Transilvania University of Brasov, Romania approved the experiments involving human participants. Each participant provided informed consent by signing a GDPR-compliant consent form prior to the recordings.

The dataset contains 7,301 video clips, each 2 seconds long, with a resolution of 320 × 240 pixels, a frame rate of 25 fps and stored in MP4 format. The videos were collected using four cameras to obtain four different perspectives of the same area. All faces were blurred and the filenames were randomized using a token consisting of 16 alphanumeric characters to improve privacy. All video clips were annotated independently by two persons and each sequence was carefully verified to ensure correct labeling. The dataset includes four violence categories: shooting (1), throwing (2), punching (3) and running and pushing (4), as well as a non-violence (0) class. The number of video clips per class is: 0 – 4,594, 1 – 624, 2 – 550, 3 – 687, 4 – 648. The main dataset directory contains a CSV file entitle clips_classes listing all clips and their corresponding labels (CSV header: filename, violence_type). The 2-second clips are stored in separate subdirectories by class. Additionally, each class directory contains a CSV file listing the clip names and their associated violence type. 

This dataset is ideal for a variety of applications and research, including:



Violence detection and classification - Training and testing models for automatic identification of violent acts in real-time or post-processing;

Smart surveillance systems - Developing solutions for security monitoring in public spaces, schools or other environments;

Human behavior analysis - Studying and recognizing complex human actions and interactions;

Computer vision research - Exploring neural architectures for action recognition, event detection and anomaly detection in video streams.


This work was funded by the Romanian Ministry of Research, Innovation and Digitalization, SOLUTIONS project entitled "Platform for fusion and management of multi-source data collections exploitable by artificial intelligence models for predictive estimation and analysis of risk situations (AI4RISK)”, contract no. 3Sol(T3)/02.09.2024
DOI: 10.25824/redu/hpz0yi
title: Conjunto de dados clínicos e de neuroimagem estrutural em doenças neurodegenerativas relacionadas ao ATXN2

description: Este conjunto de dados reúne informações clínicas e de neuroimagem estrutural de pacientes portadores de mutações no gene ATXN2, incluindo casos de esclerose lateral amiotrófica (ELA) e ataxia espinocerebelar tipo 2 (SCA2). O material foi produzido a partir de avaliações clínicas sistemáticas e exames de ressonância magnética encefálica e medular, visando caracterizar o espectro fenotípico e as alterações estruturais do sistema nervoso central associadas ao gene ATXN2. Os dados não podem ser disponibilizados por sigilo médico.
DOI: 10.15468/dl.wpz6u7
title: Occurrence Download

description: A dataset containing 231728 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NHMD Ichthyology Collection"
 ]
}

 The dataset includes 231728 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009811-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15096523
title: Inconspicuous, but not forgotten: another new Amazonian hylid frog in the Dendropsophus microcephalus species group from northern Bolivia

description: Supplementary data for the published article:

Moravec, J., L. Farková, M. Vences & J. Köhler (2025): Inconspicious, but not forgotten: another new Amazonian hylid frog in the Dendropsophus microcephalus species group from northern Bolivia. - Salamandra 61 (3): 283–298.

(1) Representative sections of recordings of advertisement calls (wave format) of Dendropsophus jamesi (from Bolivia, Pando, Palmira; type locality), D. riveroi (from Peru, Ucayali, SE of Pucallpa), and D. jamesi (from Bolivia, Pando, Cobija).

(2) Table with all samples used in the genetic analyses, including species names, voucher numbers, GenBank accession numbers, localities, and full 16S sequences.

(3) Matrix of uncorrected p-distances between samples of the Dendropsophus microcephalus group.
DOI: 10.5255/ukda-sn-9517-1
title: Planning and Preparing for Later Life, 2024
title: Planning and Preparing for Later Life, 2020-
title: PPLL

description: &lt;p&gt;The &lt;span style="font-style: italic;"&gt;Planning and Preparing for Later Life Survey (PPLL)&lt;/span&gt; was commissioned by the Department for Work and Pensions (DWP). It provides information on people’s attitudes and behaviours around planning for retirement such as evidence on how far individuals are able to make well informed choices about how and when to retire and whether they will be in a position to enjoy financial security when they do. &lt;/p&gt;&lt;p&gt;PPLL is a nationally representative survey of 40-75 year olds in Great Britain. The survey includes a number of core questions in each wave but focusses on different specific objectives.&lt;/p&gt; 
&lt;p&gt;&lt;span style="font-style: italic;"&gt;Planning and Preparing for Later Life, 2024&lt;/span&gt; had four main objectives:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;To understand attitudes and behaviours around pension saving and planning for later life&lt;/li&gt;&lt;li&gt;To provide evidence to support policy development around income adequacy in retirement&lt;/li&gt;&lt;li&gt;To gather evidence on attitudes and knowledge around the State Pension system&lt;/li&gt;&lt;li&gt;To gather evidence on the value consumers place on DWP products, policies and services &lt;/li&gt;&lt;/ul&gt;
&lt;p&gt;&lt;!--StartFragment--&gt;&lt;span data-olk-copy-source="MessageBody"&gt;The 2024 survey is the second in the series, following on from the first wave of PPLL conducted in 2020-2021 (available from the UK Data Service under SN 9516)&lt;/span&gt;&lt;!--EndFragment--&gt;&lt;/p&gt;&lt;p&gt;Data were collected from 4,036 adults aged 40 to 75 via a 45 minute online self-completion survey (with the option to complete via the telephone on request) between 30th October and 7th December 2024. The sample for the survey was drawn from respondents to the&lt;span style="font-style: italic;"&gt; Family Resources Survey, 2022-2023 and 2023-2024&lt;/span&gt; (available from the UK Data Service under SN 9252 and 9367 respectively) aged 40 to 75 who had agreed to be contacted for further research.&lt;/p&gt;
&lt;p&gt;The data have been weighted to ensure that findings can be generalised to the population of 40 to 75 year olds in Great Britain. The final data have been calibrated against ONS mid-year population estimates and &lt;span style="font-style: italic;"&gt;Labour Force Survey &lt;/span&gt;estimates to ensure that they closely resembled the target population in terms of sex, age and region.&lt;/p&gt;
DOI: 10.5281/zenodo.15096522
title: Inconspicuous, but not forgotten: another new Amazonian hylid frog in the Dendropsophus microcephalus species group from northern Bolivia

description: Supplementary data for the published article:

Moravec, J., L. Farková, M. Vences & J. Köhler (2025): Inconspicious, but not forgotten: another new Amazonian hylid frog in the Dendropsophus microcephalus species group from northern Bolivia. - Salamandra 61 (3): 283–298.

(1) Representative sections of recordings of advertisement calls (wave format) of Dendropsophus jamesi (from Bolivia, Pando, Palmira; type locality), D. riveroi (from Peru, Ucayali, SE of Pucallpa), and D. jamesi (from Bolivia, Pando, Cobija).

(2) Table with all samples used in the genetic analyses, including species names, voucher numbers, GenBank accession numbers, localities, and full 16S sequences.

(3) Matrix of uncorrected p-distances between samples of the Dendropsophus microcephalus group.
DOI: 10.15468/wtozyg
title: RBspirit - Exemplares preservados em álcool do Jardim Botânico do Rio de Janeiro.

description: Espécimes preservados em álcool do Jardim Botânico do Rio de Janeiro - Espécimes da flora brasileira preservados em soluções
DOI: 10.15468/dl.2bmve8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ephedrus cerasicola",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009819-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmnqvm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (0)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009820-260221153910048/datasets/export for details.
DOI: 10.15468/dl.a8sk47
title: Occurrence Download

description: A dataset containing 1514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tupinambis teguixin",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1514 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009821-260221153910048/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.31409952
title: BAA_Computational_Pipeline_v1.0

description: <b>Complete simulation code, EEG benchmark data, and figure generation routines for the Boundary-Attention Architecture (BAA), a computational model of psychiatric disorders based on the Structure–Interference–Resonance (SIR) framework.</b>BAA models the psyche as a five-channel dissipative dynamical system governed by stochastic differential equations with four core parameters: gain (G), plasticity (β), damping (γ), and noise (σ). Parametric variation of a single architecture generates six clinical phenotypes — Healthy, Mania, PTSD, Depression, OCD, and ADHD — each characterized by a distinct dynamical signature.The pipeline reproduces all results reported in the manuscript, including: (1) clinical profile characterization with four complexity metrics; (2) bifurcation analysis revealing three symmetry-breaking mechanisms (entropy death, dominance lock-in, energy collapse); (3) EEG complexity benchmarking against the Bonn University dataset (Andrzejak et al., 2001); (4) hysteresis analysis confirming first-order phase transitions; (5) comorbidity predictions via parameter mixing; and (6) treatment simulations for PTSD, Depression, and OCD.The repository is fully self-contained: the Bonn EEG dataset is included, and all figures (5 main + 4 supplementary) are generated automatically with no external dependencies beyond NumPy, SciPy, and Matplotlib.<b>Associated manuscript:</b> Vasilchenko, K. (2026). The Boundary-Attention Architecture: A Computational Engine for Parametric Psychiatry. Submitted to <i>European Journal of Neuroscience</i>.
DOI: 10.6084/m9.figshare.31409952.v1
title: BAA_Computational_Pipeline_v1.0

description: <b>Complete simulation code, EEG benchmark data, and figure generation routines for the Boundary-Attention Architecture (BAA), a computational model of psychiatric disorders based on the Structure–Interference–Resonance (SIR) framework.</b>BAA models the psyche as a five-channel dissipative dynamical system governed by stochastic differential equations with four core parameters: gain (G), plasticity (β), damping (γ), and noise (σ). Parametric variation of a single architecture generates six clinical phenotypes — Healthy, Mania, PTSD, Depression, OCD, and ADHD — each characterized by a distinct dynamical signature.The pipeline reproduces all results reported in the manuscript, including: (1) clinical profile characterization with four complexity metrics; (2) bifurcation analysis revealing three symmetry-breaking mechanisms (entropy death, dominance lock-in, energy collapse); (3) EEG complexity benchmarking against the Bonn University dataset (Andrzejak et al., 2001); (4) hysteresis analysis confirming first-order phase transitions; (5) comorbidity predictions via parameter mixing; and (6) treatment simulations for PTSD, Depression, and OCD.The repository is fully self-contained: the Bonn EEG dataset is included, and all figures (5 main + 4 supplementary) are generated automatically with no external dependencies beyond NumPy, SciPy, and Matplotlib.<b>Associated manuscript:</b> Vasilchenko, K. (2026). The Boundary-Attention Architecture: A Computational Engine for Parametric Psychiatry. Submitted to <i>European Journal of Neuroscience</i>.
DOI: 10.15468/dl.axmwnr
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyrtorhinus lividipennis",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 70 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009823-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqvu42
title: Occurrence Download

description: A dataset containing 11109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (DEU.7_1, DEU.1_1, DEU.11_1)",
 "TaxonKey is Bombus lapidarius"
 ]
}

 The dataset includes 11109 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009824-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9c74a
title: Occurrence Download

description: A dataset containing 157086 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Popillia japonica"
 ]
}

 The dataset includes 157086 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009770-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18771155
title: KNOT Catalogue Knowledge Graph

description: The KNOT Catalogue Knowledge Graph includes information about research projects in the Italian humanities and the digital objects they've created, based on the KNOT Data Model which was developed as a guideline for the description of digital scholarly activity and objects as cultural heritage. 

As of the first published version of the knowledge graph, it contains information about 100 research projects, 35 digital objects, and 96 web services. It can be browsed via a standard cataloguing interface on the official KNOT Catalogue website. 

The dataset is made available in both Turtle and N-Quads formats. 

Version 2 of the Knowledge Graph includes a change in the URI domain from purl to w3id, alongside a few minor changes in metadata for some of the objects described. 

Both the catalogue and knowledge graph are part of the KNOT pilot project (2023-2025), tasked with investigating ways to integrate the Digital Cultural Heritage (DCH) of Italian universities into I.PaC, the national infrastructure being built by the Central Institute for the Digitization of Cultural Heritage (ICDP) - Digital Library. More information about the KNOT project is available on the official website.
DOI: 10.5281/zenodo.15037685
title: KNOT Catalogue Knowledge Graph

description: The KNOT Catalogue Knowledge Graph includes information about research projects in the Italian humanities and the digital objects they've created, based on the KNOT Data Model which was developed as a guideline for the description of digital scholarly activity and objects as cultural heritage. 

As of the first published version of the knowledge graph, it contains information about 100 research projects, 35 digital objects, and 96 web services. It can be browsed via a standard cataloguing interface on the official KNOT Catalogue website. 

The dataset is made available in both Turtle and N-Quads formats. 

Version 2 of the Knowledge Graph includes a change in the URI domain from purl to w3id, alongside a few minor changes in metadata for some of the objects described. 

Both the catalogue and knowledge graph are part of the KNOT pilot project (2023-2025), tasked with investigating ways to integrate the Digital Cultural Heritage (DCH) of Italian universities into I.PaC, the national infrastructure being built by the Central Institute for the Digitization of Cultural Heritage (ICDP) - Digital Library. More information about the KNOT project is available on the official website.
DOI: 10.6084/m9.figshare.30193807
title: Data for: An Attention-Based Super-Resolution Model for High-Accuracy Urban Pluvial Flood Forecasting in Coastal Megacities

description: Training and test datasets for the SR model, along with the best training checkpoints for each model in the ablation study, from the paper <i>'An Attention-Based Super-Resolution Model for High-Accuracy Urban Pluvial Flood Forecasting in Coastal Megacities'</i>.
DOI: 10.6084/m9.figshare.30193807.v1
title: Dataset of <i>An Attention-Based Super-Resolution Model for High-Accuracy Urban Pluvial Flood Forecasting in Coastal Megacities</i>

description: This dataset includes the land use and DEM files required for the physical model, all coarse grid hydrological and hydrodynamic simulation results needed for sensitivity analysis, the optimal coarse/fine grid results required for super-resolution training, as well as the historical scenarios for the test set.
DOI: 10.6084/m9.figshare.30193807.v2
title: Data for: An Attention-Based Super-Resolution Model for High-Accuracy Urban Pluvial Flood Forecasting in Coastal Megacities

description: Training and test datasets for the SR model, along with the best training checkpoints for each model in the ablation study, from the paper <i>'An Attention-Based Super-Resolution Model for High-Accuracy Urban Pluvial Flood Forecasting in Coastal Megacities'</i>.