cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18803404
title: PATHOPHYSIOLOGICAL MECHANISMS OF ARTERIAL HYPERTENSION DEVELOPMENT IN OBESITY

description: Obesity is a major risk factor for the development of arterial hypertension. Excess body weight is associated with complex alterations in metabolism, hormonal regulation, and vascular function that contribute to elevated blood pressure. Key pathophysiological mechanisms include activation of the sympathetic nervous system, dysregulation of the renin-angiotensin-aldosterone system, endothelial dysfunction, chronic inflammation, and sodium metabolism disturbances. These changes lead to increased vascular resistance, fluid retention, and vascular remodeling. Understanding these mechanisms is crucial for early diagnosis, prevention, and effective management of hypertension in obese patients.
DOI: 10.15468/dl.8cwvqy
title: Occurrence Download

description: A dataset containing 392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Eucera longicornis",
 "Year 2010-2021"
 ]
}

 The dataset includes 392 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002270-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsxuq5
title: Occurrence Download

description: A dataset containing 218866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crex crex, Vanellus vanellus, Gallinago gallinago, Anthus trivialis)",
 "Year is one of (2020, 2021, 2022, 2023, 2024)",
 "DecimalLatitude is greater than or equal to 47.53364139636112",
 "DecimalLatitude is less than or equal to 54.8769089978912",
 "DecimalLongitude is greater than or equal to 6.033629",
 "DecimalLongitude is less than or equal to 15.037743",
 "Year is not null",
 "HasCoordinate is TRUE",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)"
 ]
}

 The dataset includes 218866 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002218-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16607096
title: Explainable Artificial Intelligence identifies novel mammalian enhancers and their epigenetic code
DOI: 10.15468/dl.hn7gjb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Neolamprologus petricola"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002271-260226173443078/datasets/export for details.
DOI: 10.15468/dl.cc5863
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidothrix iris iris"
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002272-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/uie1lw
title: Bureauonderzoek BOPA Johanneskerk Laren (gemeente Laren)

description: &lt;P&gt;In augustus 2024 is in opdracht van Bouwcommissie Johanneskerk door Antea Group een
archeologisch bureauonderzoek uitgevoerd voor BOPA Johanneskerk in Laren (gemeente Laren). In het plangebied geldt in theorie een archeologische verwachting op resten uit de steentijd tot en met de nieuwe tijd. Door de ligging in het centrum van Laren, op korte afstand van de Brink, is kans echter groot dat eventuele oudere resten verstoord zijn door latere laatmiddeleeuwse en vooral nieuwetijdse bebouwing.&lt;/P&gt;&lt;P&gt;
Op basis van de historische kaarten was er zeker vanaf de nieuwe tijd bewoning in de omgeving aanwezig.
Net ten zuiden van het plangebied staat de Johanneskerk uit 1521. De hoogste verwachting geldt daarom op resten van begraving rondom de kerk, met menselijk skeletmateriaal. Omdat er een hoge kans is op het aantreffen van archeologische resten binnen het plangebiedadviseert Antea Group om binnen het plangebied een vervolgonderzoek uit te voeren.&lt;/P&gt;
DOI: 10.5281/zenodo.18803401
title: Explainable Artificial Intelligence identifies novel mammalian enhancers and their epigenetic code
DOI: 10.15468/dl.e7u67s
title: Occurrence Download

description: A dataset containing 566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is CC0 1.0",
 "TaxonKey is Brugmansia sanguinea"
 ]
}

 The dataset includes 566 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002274-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18801114
title: EMPD: An Event-based Multimodal Physiological Dataset for Remote Pulse Wave Detection (Part 8 of 9)

description: Note: Due to file size limits, this dataset is divided into 9 independent parts. (Note on filename: The physical archive files are named EPMD_Part_xx, which corresponds to this EMPD dataset).
    
Remote photoplethysmography (rPPG) based on traditional frame-based cameras often struggles with motion artifacts and limited temporal resolution. To address these limitations, we introduce EMPD (Event-based Multimodal Physiological Dataset), the first benchmark dataset specifically designed for non-contact physiological sensing via event cameras.
    
The dataset comprises 193 multimodal recordings (68 seconds each) collected from 83 subjects. For each recording, the data acquisition system simultaneously captures:
    
Detailed Hardware Specifications:
    

    
Wrist Event Streams: Captured using a high-speed event camera (Prophesee EVK4) focusing on the radial artery region, with a spatial resolution of 1280 × 720 and a timestamp precision of 1 µs. A low-power continuous-wave laser pointer (660 nm) is used as an active illumination source to enhance the event camera's sensitivity to pulse-induced micro-motions on the skin.
    
Facial RGB Videos: Recorded using an industrial-grade RGB camera (FLIR BFS-U3-31S4C-C) at an original resolution of 2048 × 1536 and 30 Hz (downsampled and compressed to 640 × 480 for the released dataset). These are designed for traditional remote photoplethysmography (rPPG) extraction methods (e.g., CHROM, ICA, POS).
    
Ground-Truth PPG: High-fidelity contact-based photoplethysmography (PPG) waveforms and heart rate (HR) recorded synchronously at 60Hz using a clinically validated contact-type finger-clip pulse oximeter (CONTEC CMS50E).
    
    
Metadata & Labels:
    The dataset includes a global metadata file (EPMD_metadata.csv, available in Part 1) that provides comprehensive demographic and physiological state labels for all recordings.
DOI: 10.5281/zenodo.18801113
title: EMPD: An Event-based Multimodal Physiological Dataset for Remote Pulse Wave Detection (Part 8 of 9)

description: Note: Due to file size limits, this dataset is divided into 9 independent parts. (Note on filename: The physical archive files are named EPMD_Part_xx, which corresponds to this EMPD dataset).
    
Remote photoplethysmography (rPPG) based on traditional frame-based cameras often struggles with motion artifacts and limited temporal resolution. To address these limitations, we introduce EMPD (Event-based Multimodal Physiological Dataset), the first benchmark dataset specifically designed for non-contact physiological sensing via event cameras.
    
The dataset comprises 193 multimodal recordings (68 seconds each) collected from 83 subjects. For each recording, the data acquisition system simultaneously captures:
    
Detailed Hardware Specifications:
    

    
Wrist Event Streams: Captured using a high-speed event camera (Prophesee EVK4) focusing on the radial artery region, with a spatial resolution of 1280 × 720 and a timestamp precision of 1 µs. A low-power continuous-wave laser pointer (660 nm) is used as an active illumination source to enhance the event camera's sensitivity to pulse-induced micro-motions on the skin.
    
Facial RGB Videos: Recorded using an industrial-grade RGB camera (FLIR BFS-U3-31S4C-C) at an original resolution of 2048 × 1536 and 30 Hz (downsampled and compressed to 640 × 480 for the released dataset). These are designed for traditional remote photoplethysmography (rPPG) extraction methods (e.g., CHROM, ICA, POS).
    
Ground-Truth PPG: High-fidelity contact-based photoplethysmography (PPG) waveforms and heart rate (HR) recorded synchronously at 60Hz using a clinically validated contact-type finger-clip pulse oximeter (CONTEC CMS50E).
    
    
Metadata & Labels:
    The dataset includes a global metadata file (EPMD_metadata.csv, available in Part 1) that provides comprehensive demographic and physiological state labels for all recordings.
DOI: 10.15128/r1d217qp623
title: Geophysical surveys of the Vallum and its wider landscape at Milking Gap, Hadrian’s Wall [dataset]

description: Research data collected using Geomar MLGrad601 software, V. 1.12.
description: We present the results of integrated geophysical surveys and LiDAR topographic assessment of the Vallum and Romano-British settlement at Milking Gap, on Hadrian’s Wall. Magnetic gradiometry and Electrical Resistivity Tomography (ERT) surveys are utilised to investigate the landscape context of the Vallum and provide insight into the stratigraphy of the preserved earthworks. While the gradiometry data were affected by geological noise, surveys imaged discrete features with large magnetic gradient anomalies. We interpret these features as either simple lime-kilns associated with pre-Roman or Roman land-use, or accumulations of whinstone. ERT surveys imaged the subsurface stratigraphy of the Vallum mounds, although the ditch remained poorly constrained due to waterlogging. Resistivity contrasts within the Vallum mounds may be evidence of a stony or compacted foundation layer. These interpretations are supported by known Roman strategies for construction of turf monuments and observation of mounds gaps at the site. LiDAR topographic assessment broadens understanding of the monument’s interaction with local hydrogeology and we suggest that the north and the south mounds of the Vallum may have been provisioned with primary gaps. If correct, these would be the only known examples of primary gaps apart from at forts and milecastles along the Wall.
DOI: 10.5281/zenodo.14850345
title: Impact of Atmospheric Correction on Machine Learning-Based Land Cover Classification: Insights from the Sil Canyon (NW Spain)

description: This work was supported by “Ayudas para la Formación de Profesorado Universitario (FPU)”, Ministry of Education, Government of Spain [FPU23/00964] (M. García). This research is part of the Grant PID2022-138374OA-I00 funded by MICIU/AEI /10.13039/501100011033 and by ERDF, EU (C. Acuña, C. Peco and X. Álvarez). Funding for open access charge: Universidade de Vigo/CISUG.
DOI: 10.5281/zenodo.14850344
title: Impact of Atmospheric Correction on Machine Learning-Based Land Cover Classification: Insights from the Sil Canyon (NW Spain)

description: This work was supported by “Ayudas para la Formación de Profesorado Universitario (FPU)”, Ministry of Education, Government of Spain [FPU23/00964] (M. García). This research is part of the Grant PID2022-138374OA-I00 funded by MICIU/AEI /10.13039/501100011033 and by ERDF, EU (C. Acuña, C. Peco and X. Álvarez). Funding for open access charge: Universidade de Vigo/CISUG.
DOI: 10.13140/rg.2.2.17054.45127
title: R Package - qGaussian 0.1.8.tar
DOI: 10.6084/m9.figshare.29724008.v4
title: RISKY | Wildlife-friendly energy and transport infrastructures

description: Here you can find shapefiles from different publications with sensitivity maps<b>Grilo et al 2021 N_Mammals</b> has the number of mammal species for which roadkill of &lt;20% of their population can lead to an increase of 10% of risk extinction published at <i>Grilo,</i><i>C.</i><i>,</i><i> </i><i>Borda-de-Água</i><i>L.</i><i>,</i><i> </i><i>Beja</i><i>P.</i><i>,</i><i> </i><i>Goolsby</i><i>E.</i><i>,</i><i> </i><i>Soanes</i><i>K.</i><i>,</i><i> </i><i>le Roux</i><i>A.</i><i>,</i><i> </i><i>Koroleva</i><i>E.</i><i>,</i><i> </i><i>Ferreira</i><i>F. Z.</i><i>,</i><i> </i><i>Gagné</i><i>S. A.</i><i>,</i><i> </i><i>Wang</i><i>Y.</i><i>, &</i><i> </i><i>González-Suárez</i><i>M.</i><i> </i><i>(</i><i>2021</i><i>).</i><i> </i><i>Conservation threats from roadkill in the global road network</i><i>.</i><i> </i><i>Global Ecology and Biogeography</i><i>,</i><i> </i><i>30</i><i>,</i><i> </i><i>2200</i><i>–</i><i>2210</i><i>.</i><i> </i><i>https://doi.org/10.1111/geb.13375</i><b>Medrano-Vizcaino et al 2022 Fig 4a - </b>Total numbers were calculated by multiplying roadkill rates [individuals (ind) per kilometre per year] predicted for each species and grid cell using random regression models and species traits and location data by the total length of existing main roads (in kilometres) in each grid cell. At<b> </b><i>Medrano-Vizcaíno,</i><i>P.</i><i>,</i><i> </i><i>Grilo,</i><i>C.</i><i>,</i><i> </i><i>Silva Pinto,</i><i>F. A.</i><i>,</i><i> </i><i>Carvalho,</i><i>W. D.</i><i>,</i><i> </i><i>Melinski,</i><i>R. D.</i><i>,</i><i> </i><i>Schultz,</i><i>E. D.</i><i>, &</i><i> </i><i>González-Suárez,</i><i>M.</i><i> </i><i>(</i><i>2022</i><i>).</i><i> </i><i>Roadkill patterns in Latin American birds and mammals</i><i>.</i><i> </i><i>Global Ecology and Biogeography</i><i>,</i><i> </i><i>31</i><i>,</i><i> </i><i>1756</i><i>–</i><i>1783</i><i>.</i><i> </i><i>https://doi.org/10.1111/geb.13557</i><b>Medrano-Vizcaino et al 2022 Fig 4b - </b>Total numbers were calculated by multiplying roadkill rates [individuals (ind) per kilometre per year] predicted for each species and grid cell using random regression models and species traits and location data by the total length of existing main roads (in kilometres) in each grid cell. At<b> </b><i>Medrano-Vizcaíno,</i><i>P.</i><i>,</i><i> </i><i>Grilo,</i><i>C.</i><i>,</i><i> </i><i>Silva Pinto,</i><i>F. A.</i><i>,</i><i> </i><i>Carvalho,</i><i>W. D.</i><i>,</i><i> </i><i>Melinski,</i><i>R. D.</i><i>,</i><i> </i><i>Schultz,</i><i>E. D.</i><i>, &</i><i> </i><i>González-Suárez,</i><i>M.</i><i> </i><i>(</i><i>2022</i><i>).</i><i> </i><i>Roadkill patterns in Latin American birds and mammals</i><i>.</i><i> </i><i>Global Ecology and Biogeography</i><i>,</i><i> </i><i>31</i><i>,</i><i> </i><i>1756</i><i>–</i><i>1783</i><i>.</i><i> </i><i>https://doi.org/10.1111/geb.13557</i><br><br><br><br>
DOI: 10.15468/dl.kfvss5
title: Occurrence Download

description: A dataset containing 469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Callisthene fasciculata",
 "Year 2005-2026"
 ]
}

 The dataset includes 469 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002277-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18765701
title: EMPD: An Event-based Multimodal Physiological Dataset for Remote Pulse Wave Detection (Part 1 of 9)

description: Note: Due to file size limits and international network stability, this dataset is divided into 9 independent parts. (Note on filename: The physical archive files are named EPMD_Part_xx, which corresponds to this EMPD dataset).

Remote photoplethysmography (rPPG) based on traditional frame-based cameras often struggles with motion artifacts and limited temporal resolution. To address these limitations, we introduce EMPD (Event-based Multimodal Physiological Dataset), the first benchmark dataset specifically designed for non-contact physiological sensing via event cameras.

The dataset leverages a laser-assisted acquisition system where a high-coherence laser modulates subtle skin vibrations from the radial artery into significant signals detectable by a neuromorphic sensor. The hardware platform integrates a high-resolution event camera to capture micro-motions and intensity transients, an industrial RGB camera to provide traditional rPPG benchmarks, and a clinical-grade pulse oximeter to record ground truth PPG waveforms. EMPD contains 193 valid multimodal recordings (68 seconds each) collected from 83 subjects, covering a wide heart rate range (40–110 BPM) under both resting and post-exercise conditions. By providing precisely synchronized multimodal data with microsecond-level temporal precision, EMPD serves as a crucial resource for developing robust algorithms in the field of neuromorphic physiological monitoring.

Detailed Hardware Specifications:





Wrist Event Streams: Captured using a high-speed event camera (Prophesee EVK4) focusing on the radial artery region, with a spatial resolution of 1280 × 720 and a timestamp precision of 1 µs. A low-power continuous-wave laser pointer (660 nm) is used as an active illumination source.




Facial RGB Videos: Recorded using an industrial-grade RGB camera (FLIR BFS-U3-31S4C-C) at an original resolution of 2048 × 1536 and 30 Hz (downsampled and compressed to 640 × 480).




Ground-Truth PPG: High-fidelity contact-based PPG waveforms and heart rate recorded synchronously at 60Hz using a clinically validated finger-clip pulse oximeter (CONTEC CMS50E).



Metadata & Labels: The global metadata file is available in Part 1. It includes Label (0: Resting, 1: Post-exercise), Gender (0: Male, 1: Female), and Participant IDs.
DOI: 10.5281/zenodo.18755420
title: EMPD: An Event-based Multimodal Physiological Dataset for Remote Pulse Wave Detection (Part 1 of 9)

description: Note: Due to file size limits and international network stability, this dataset is divided into 9 independent parts. (Note on filename: The physical archive files are named EPMD_Part_xx, which corresponds to this EMPD dataset).

Remote photoplethysmography (rPPG) based on traditional frame-based cameras often struggles with motion artifacts and limited temporal resolution. To address these limitations, we introduce EMPD (Event-based Multimodal Physiological Dataset), the first benchmark dataset specifically designed for non-contact physiological sensing via event cameras.

The dataset leverages a laser-assisted acquisition system where a high-coherence laser modulates subtle skin vibrations from the radial artery into significant signals detectable by a neuromorphic sensor. The hardware platform integrates a high-resolution event camera to capture micro-motions and intensity transients, an industrial RGB camera to provide traditional rPPG benchmarks, and a clinical-grade pulse oximeter to record ground truth PPG waveforms. EMPD contains 193 valid multimodal recordings (68 seconds each) collected from 83 subjects, covering a wide heart rate range (40–110 BPM) under both resting and post-exercise conditions. By providing precisely synchronized multimodal data with microsecond-level temporal precision, EMPD serves as a crucial resource for developing robust algorithms in the field of neuromorphic physiological monitoring.

Detailed Hardware Specifications:





Wrist Event Streams: Captured using a high-speed event camera (Prophesee EVK4) focusing on the radial artery region, with a spatial resolution of 1280 × 720 and a timestamp precision of 1 µs. A low-power continuous-wave laser pointer (660 nm) is used as an active illumination source.




Facial RGB Videos: Recorded using an industrial-grade RGB camera (FLIR BFS-U3-31S4C-C) at an original resolution of 2048 × 1536 and 30 Hz (downsampled and compressed to 640 × 480).




Ground-Truth PPG: High-fidelity contact-based PPG waveforms and heart rate recorded synchronously at 60Hz using a clinically validated finger-clip pulse oximeter (CONTEC CMS50E).



Metadata & Labels: The global metadata file is available in Part 1. It includes Label (0: Resting, 1: Post-exercise), Gender (0: Male, 1: Female), and Participant IDs.
DOI: 10.15468/dl.fjggtq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Neolamprologus pleuromaculatus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002278-260226173443078/datasets/export for details.
DOI: 10.15468/dl.4yn9n8
title: Occurrence Download

description: A dataset containing 2162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Tontelea"
 ]
}

 The dataset includes 2162 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002279-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3929/ethz-b-000726321
title: "AI is from the devil." Behaviors and Concerns Toward Personal Data Sharing with LLM-based Conversational Agents

description: Survey transcript and answers about behaviors and concerns toward personal data sharing with LLM-based conversational agents.
DOI: 10.3929/ethz-b-000731875
title: Replication Materials for "Nuancing NIMBYism: How Regulatory Preferences Shape Public Acceptance of Housing Densification"

description: Replication Materials for "Nuancing NIMBYism: How Regulatory Preferences Shape Public Acceptance of Housing Densification"