cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18329341
title: Data and code for publication: "Variability-based constraints on regional gaseous elemental mercury fluxes"

description: This repository includes all data required to reproduce key figures from Roy et al.: Variability-based constraints on regional gaseous elemental mercury fluxes. Hg0 concentration datasets used to constrain our observations can be obtained at the following links, and are required to run the inversion scripts below:



Harvard Forest: Can be downloaded at Obrist et al. (2021).

CHC: Can be downloaded at Magand and Dommergue (2022).

Gunn Point: Daily-averaged data for 2014-2015 are included here. Originally described in Howard et al. (2017)


All other data is included in the zip file titled VariabilityInversion.zip. Subdirectories are organized as follows:



Inversion



code



Python scripts for calculating posteriors for each site (HarvardForest.py, GunnPoint.py, Chacaltaya.py).

Key functions are included in function.py.

Figure plotting scripts included in figures.ipynb and supplemental_figures.ipynb.

Code is also hosted on github.



figures



All figures used included in paper.



posteriors



 Posterior distributions discussed in main paper.





Measurement_data



Daily averaged Hg0 concentrations at ATARS are included. Other measurement datasets must be downloaded to this directory from existing repositories listed above. 



Model_data



Organized into four subdirectories:



Harvard Forest



Preprocessed concentration signals and surface fields for:



GEOS-Chem (2x2.5)

GEOS-Chem (0.5x0.625)

STILT-MERRA2 (0.5x0.5)

STILT-GFS (0.25x0.25)

STILT-NAM (0.1x0.1)





ATARS



Preprocessed concentration signals and surface fields for 2014 and 2015 for:



GEOS-Chem (2x2.5)

GEOS-Chem (0.5x0.625)

STILT-MERRA2 (0.5x0.5)



GFED4s and FINN1.5



STILT-GDAS (0.5x0.5)



GFED4s and FINN1.5







CHC



Preprocessed concentration signals for approximately 2000 m November 2014-June 2015 for:



GEOS-Chem (2x2.5)

STILT-MERRA2 (0.5x0.5)



GMA/AMAP and EDGARv4.1



STILT-GDAS (0.5x0.5)



GMA/AMAP and EDGARv4.1












Note: For simplicity, we have updated preprocessed GEOS-Chem output required to conduct inversions and generate plots in main text and supplemental. Raw output is available upon request.

Please reach out if you have any questions about the scripts or workflow!

Eric Roy - Email: emroy (at) mit (dot) edu
DOI: 10.15468/dl.sbvxxc
title: Occurrence Download

description: A dataset containing 52756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Silene vulgaris, Silene inflata, Silene cucubalus)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 52756 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018829-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhsrrb
title: Occurrence Download

description: A dataset containing 8162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinamus tao",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 8162 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018851-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55kvm2
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Henrardia persica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 26 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018852-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18139275
title: AURA: Uncovering Anomalous Events for Marine Environmental Monitoring via Visual Anomaly Detection

description: AURA: Anomalous Underwater Reef Activity

The first multi-annotator benchmark dataset for visual anomaly detection in underwater scenes, published at ICCV 2025.

This dataset contains 25 underwater videos from two marine locations in Denmark with annotated anomalous events (fish, crabs, and biological activity). Each video was annotated by 16 people, providing soft labels that capture annotation uncertainty and consensus event boundaries for temporal evaluation.

Key Features:

- 25 videos (10 from Scene A - Hundested Harbour, 15 from Scene B - Limfjords-bridge)- 15,083 total frames with frame-level soft labels- 16 annotators per video capturing subjective nature of "interesting" events- Multi-annotator consensus labels for event boundaries- Two distinct underwater scenes with different visual characteristics

 

Scene A

Normal - Anomalous



 

Scene B

Normal - Anomalous



 

The dataset supports research in visual anomaly detection, particularly for applications in marine environmental monitoring and biodiversity assessment.

Full paper available here.

In case you use this dataset, please add a citation:Weihl, L., Bengtson, S.H., Novak, N., & Pedersen, M. (2025). Uncovering Anomalous Events for Marine Environmental Monitoring via Visual Anomaly Detection. ICCV Workshops, 2085-2094.
DOI: 10.5281/zenodo.18520662
title: CAUSES AND PREVENTION OF CHRONIC GASTRITIS INCREASE AMONG YOUTH

description: This scientific article provides a complex analysis of the epidemiology, etiopathogenesis, and clinico-morphological characteristics of chronic gastritis among the younger generation (population aged 18 to 30), which is one of the most urgent and strategically important problems of modern medicine. The relevance of the research lies in the fact that in recent years, gastrointestinal tract pathologies among young people have not only increased in quantity but their clinical course has also become more aggressive. The article deeply explores subjective and objective factors, including improper eating stereotypes introduced as a result of globalization, the negative impact of the modern "fast-food" industry on the gastric mucosa, the chemical aggressiveness of energy drinks, and psychosomatic disorders resulting from intellectual stress. Additionally, the population distribution rate of Helicobacter pylori infection in the conditions of Uzbekistan and its impact on the health of young people are analyzed based on statistical data. At the end of the article, a set of modern preventive strategies, early diagnosis algorithms, and scientifically based recommendations for forming a healthy lifestyle are proposed.
DOI: 10.5281/zenodo.18520661
title: CAUSES AND PREVENTION OF CHRONIC GASTRITIS INCREASE AMONG YOUTH

description: This scientific article provides a complex analysis of the epidemiology, etiopathogenesis, and clinico-morphological characteristics of chronic gastritis among the younger generation (population aged 18 to 30), which is one of the most urgent and strategically important problems of modern medicine. The relevance of the research lies in the fact that in recent years, gastrointestinal tract pathologies among young people have not only increased in quantity but their clinical course has also become more aggressive. The article deeply explores subjective and objective factors, including improper eating stereotypes introduced as a result of globalization, the negative impact of the modern "fast-food" industry on the gastric mucosa, the chemical aggressiveness of energy drinks, and psychosomatic disorders resulting from intellectual stress. Additionally, the population distribution rate of Helicobacter pylori infection in the conditions of Uzbekistan and its impact on the health of young people are analyzed based on statistical data. At the end of the article, a set of modern preventive strategies, early diagnosis algorithms, and scientifically based recommendations for forming a healthy lifestyle are proposed.
DOI: 10.15468/dl.c2q9uu
title: Occurrence Download

description: A dataset containing 11374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Soldanella alpina, Soldanella alpina)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 11374 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018853-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpqnsm
title: Occurrence Download

description: A dataset containing 769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geotrigona subterranea",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 769 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018854-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hn3pwq
title: Occurrence Download

description: A dataset containing 3667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hesperostipa comata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 3667 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018855-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xd35g
title: Occurrence Download

description: A dataset containing 33 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 4.045127286108716
 AND decimallatitude &lt;= 8.098015256935714
 AND decimallongitude &gt;= 14.989708454849
 AND decimallongitude &lt;= 20.079325858213714
 AND GBIF_Within('POLYGON ((20.079326 4.045127, 20.079326 8.098015, 14.989708 8.098015, 14.989708 4.045127, 20.079326 4.045127))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 33 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018848-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e9fhs
title: Occurrence Download

description: A dataset containing 49182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solidago canadensis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 49182 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018856-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18520675
title: CONDUCTIVITY AND PERMITTIVITY OF METAL-POLYMER COMPOSITES

description: The behaviour of conductivity σ and permittivity ε of metal-polymer composites comprising Ni particles dispersed in the phenilon was studied. It is found that the percolation-like behaviour of σ and ε, which is observed when the Ni particles are the sizes of 1-3 µm (micro-dispersed particles), gave way to another behaviour characterized by an additional contribution to σ and ε below the percolation threshold when the Ni particles are the sizes of ≤ 30 nm (nanoparticles). This peculiarity of the behaviour of σ and ε of the composites can be explained in the frame of the network hierarchy model of composites, which was proposed recently by Balberg et al.
DOI: 10.5281/zenodo.18520674
title: CONDUCTIVITY AND PERMITTIVITY OF METAL-POLYMER COMPOSITES

description: The behaviour of conductivity σ and permittivity ε of metal-polymer composites comprising Ni particles dispersed in the phenilon was studied. It is found that the percolation-like behaviour of σ and ε, which is observed when the Ni particles are the sizes of 1-3 µm (micro-dispersed particles), gave way to another behaviour characterized by an additional contribution to σ and ε below the percolation threshold when the Ni particles are the sizes of ≤ 30 nm (nanoparticles). This peculiarity of the behaviour of σ and ε of the composites can be explained in the frame of the network hierarchy model of composites, which was proposed recently by Balberg et al.
DOI: 10.15468/dl.w8dc8r
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heterachne gulliveri",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 287 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018858-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18520671
title: Shear-Activated Nano-Inhibitor of Polyphosphate: A Conceptual Theoretical Framework for Selective Antithrombotic Therapy

description: This conceptual theoretical manuscript introduces the Shear-Activated Nano-Inhibitor of Polyphosphate (SANIPP), a novel framework for antithrombotic therapy that selectively neutralizes polyphosphate (PolyP)-driven coagulation amplification under pathological high shear stress, while preserving physiological hemostasis. SANIPP features microscale aggregates of inhibitor-loaded nanoparticles that dissociate exclusively in stenotic vessels (\(\tau > \SI{100}{\dyne\per\centi\metre\squared}\)). The framework relies on computational simulations calibrated to empirical data from peer-reviewed literature, including lab-on-a-chip (LOC) disassembly thresholds \cite{Korin2012} and thrombin generation assays (TGA) in human plasma \cite{Mailer2023,Smith2015}. An expanded mathematical model, integrating Hockin-Mann kinetics with PolyP dynamics, vWF-mediated platelet activation, fibrin polymerization with anti-lytic effects, mass-balanced aggregate dissociation, diffusion-limited tenase complex formation, and coupled computational fluid dynamics (CFD) via transport equations, demonstrates \( \approx 65\% \) thrombin reduction under high shear with $ < 5% $ impact on hemostatic endpoints. Comprehensive sensitivity analyses (local, global Sobol, Monte Carlo) and falsifiability criteria ensure rigor. Originality stems from the coupled spatial-kinetic modeling incorporating mechanical fatigue thresholds and dimensionless numbers for dissociation physics. This self-contained work positions SANIPP as a paradigm for targeted hemostasis modulation, with potential clinical applications in conditions like acute coronary syndrome and stroke prevention.
DOI: 10.5281/zenodo.17945732
title: Shear-Activated Nano-Inhibitor of Polyphosphate: A Conceptual Theoretical Framework for Selective Antithrombotic Therapy

description: This conceptual theoretical manuscript introduces the Shear-Activated Nano-Inhibitor of Polyphosphate (SANIPP), a novel framework for antithrombotic therapy that selectively neutralizes polyphosphate (PolyP)-driven coagulation amplification under pathological high shear stress, while preserving physiological hemostasis. SANIPP features microscale aggregates of inhibitor-loaded nanoparticles that dissociate exclusively in stenotic vessels (\(\tau > \SI{100}{\dyne\per\centi\metre\squared}\)). The framework relies on computational simulations calibrated to empirical data from peer-reviewed literature, including lab-on-a-chip (LOC) disassembly thresholds \cite{Korin2012} and thrombin generation assays (TGA) in human plasma \cite{Mailer2023,Smith2015}. An expanded mathematical model, integrating Hockin-Mann kinetics with PolyP dynamics, vWF-mediated platelet activation, fibrin polymerization with anti-lytic effects, mass-balanced aggregate dissociation, diffusion-limited tenase complex formation, and coupled computational fluid dynamics (CFD) via transport equations, demonstrates \( \approx 65\% \) thrombin reduction under high shear with $ < 5% $ impact on hemostatic endpoints. Comprehensive sensitivity analyses (local, global Sobol, Monte Carlo) and falsifiability criteria ensure rigor. Originality stems from the coupled spatial-kinetic modeling incorporating mechanical fatigue thresholds and dimensionless numbers for dissociation physics. This self-contained work positions SANIPP as a paradigm for targeted hemostasis modulation, with potential clinical applications in conditions like acute coronary syndrome and stroke prevention.
DOI: 10.15468/dl.uatsjk
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heteranthelium piliferum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 52 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018861-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18520635
title: Literature review to propose a framework for analyzing changes in the built environment using computer vision and deep learning to mitigate temperature increases.
DOI: 10.5281/zenodo.18520636
title: Literature review to propose a framework for analyzing changes in the built environment using computer vision and deep learning to mitigate temperature increases.
DOI: 10.5281/zenodo.18139274
title: AURA: Uncovering Anomalous Events for Marine Environmental Monitoring via Visual Anomaly Detection

description: AURA: Anomalous Underwater Reef Activity

The first multi-annotator benchmark dataset for visual anomaly detection in underwater scenes, published at ICCV 2025.

This dataset contains 25 underwater videos from two marine locations in Denmark with annotated anomalous events (fish, crabs, and biological activity). Each video was annotated by 16 people, providing soft labels that capture annotation uncertainty and consensus event boundaries for temporal evaluation.

Key Features:

- 25 videos: 10 from Scene A - Hundested Harbour, 15 from Scene B - Limfjords-bridge, Denmark- 15,083 total frames with frame-level soft labels- 16 annotators per video capturing subjective nature of "interesting" events- Multi-annotator consensus labels for event boundaries- Two distinct underwater scenes with different visual characteristics

The dataset supports research in visual anomaly detection, particularly for applications in marine environmental monitoring.

Full paper available here.

In case you use this dataset, please add a citation:Weihl, L., Bengtson, S.H., Novak, N., & Pedersen, M. (2025). Uncovering Anomalous Events for Marine Environmental Monitoring via Visual Anomaly Detection. ICCV Workshops, 2085-2094.
DOI: 10.5281/zenodo.18520687
title: AURA: Uncovering Anomalous Events for Marine Environmental Monitoring via Visual Anomaly Detection

description: AURA: Anomalous Underwater Reef Activity

The first multi-annotator benchmark dataset for visual anomaly detection in underwater scenes, published at ICCV 2025.

This dataset contains 25 underwater videos from two marine locations in Denmark with annotated anomalous events (fish, crabs, and biological activity). Each video was annotated by 16 people, providing soft labels that capture annotation uncertainty and consensus event boundaries for temporal evaluation.

Key Features:

- 25 videos: 10 from Scene A - Hundested Harbour, 15 from Scene B - Limfjords-bridge, Denmark- 15,083 total frames with frame-level soft labels- 16 annotators per video capturing subjective nature of "interesting" events- Multi-annotator consensus labels for event boundaries- Two distinct underwater scenes with different visual characteristics

The dataset supports research in visual anomaly detection, particularly for applications in marine environmental monitoring.

Full paper available here.

In case you use this dataset, please add a citation:Weihl, L., Bengtson, S.H., Novak, N., & Pedersen, M. (2025). Uncovering Anomalous Events for Marine Environmental Monitoring via Visual Anomaly Detection. ICCV Workshops, 2085-2094.
DOI: 10.15468/dl.nfsges
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heteranthoecia guineensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 116 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018863-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4zr7c
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heteropholis nigrescens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018864-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.