cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.eg1lgh
title: Occurrence Download

description: A dataset containing 5309938 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "Country is India",
 "Year 1000-2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5309938 records from 492 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032145-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gmwry
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Xenodon pulcher (Jan, 1863)"
 ]
}

 The dataset includes 174 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064368-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55bx5e
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cereus horrispinus Backeb."
 ]
}

 The dataset includes 30 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146109-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykp5d4
title: Occurrence Download

description: A dataset containing 891 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Denmark",
 "Country is France"
 ]
 },
 "TaxonKey is Muraena Linnaeus, 1758"
 ]
}

 The dataset includes 891 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032146-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2z7qee
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Sarcohyla labeculata (Shannon, 1951)"
 ]
}

 The dataset includes 103 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025300-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwp5jp
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clupea harengus Linnaeus, 1758",
 "Year 1639-2021"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179460-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.za4iwc
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hymenoscyphus pseudoalbidus V.Queloz, C.R.Grünig, R.Berndt, T.Kowalski, T.N.Sieber & O.Holdenrieder"
 ]
}

 The dataset includes 103 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032147-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vm7jjq
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Amolops assamensis Sengupta, Hussain, Choudhury, Gogoi, Ahmed & Choudhury, 2008"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025302-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9j8bqe
title: Occurrence Download

description: A dataset containing 92938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Myiozetetes similis (Spix, 1825)"
 ]
}

 The dataset includes 92938 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188316-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwr6zi
title: Occurrence Download

description: A dataset containing 19039 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is cariaco-phytoplankton"
 ]
}

 The dataset includes 19039 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032147-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awsms2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Brachycephalus alipioi Pombal & Gasparini, 2006"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064325-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkxhr7
title: Occurrence Download

description: A dataset containing 11216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Apis mellifera Linnaeus, 1758"
 ]
}

 The dataset includes 11216 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204259-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhq3cq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brongniartia herbacea R.Grether & Rzed."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146110-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3o8rw
title: Occurrence Download

description: A dataset containing 32810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 {
 "or" : [
 "TaxonKey is Scrophularia crithmifolia Boiss.",
 "TaxonKey is Scrophularia arguta (Soland.), 1789",
 "TaxonKey is Verbascum barnadesii Vahl",
 "TaxonKey is Rhinanthus angustifolius C.C.Gmel.",
 "TaxonKey is Monanthes polyphylla subsp. polyphylla",
 "TaxonKey is Sedum alpestre Vill.",
 "TaxonKey is Sempervivum vicentei Pau",
 "TaxonKey is Aeonium ciliatum (Willd.) Webb & Berthel.",
 "TaxonKey is Umbilicus heylandianus Webb & Berthel.",
 "TaxonKey is Aichryson tortuosum (Aiton) Webb & Berthel.",
 "TaxonKey is Aichryson pachycaulon Bolle",
 "TaxonKey is Cheilanthes vellea (Aiton) F.Muell.",
 "TaxonKey is Cosentinia vellea (Aiton) Tod.",
 "TaxonKey is Saxifraga dichotoma Willd. ex Sternb.",
 "TaxonKey is Saxifraga babiana T.E.Díaz & Fern.Prieto",
 "TaxonKey is Saxifraga cuneata Willd.",
 "TaxonKey is Chrysosplenium alternifolium L.",
 "TaxonKey is Saxifraga corsica (Ser.) Gren. & Godr.",
 "TaxonKey is Saxifraga losae Sennen",
 "TaxonKey is Saxifraga moncayensis D.A.Webb",
 "TaxonKey is Hammada articulata (Moq.) O.Bolòs & Vigo",
 "TaxonKey is Crambe gomerae subsp. gomerae",
 "TaxonKey is Digitalis dubia J.J.Rodr.",
 "TaxonKey is Veronica tenuifolia Asso",
 "TaxonKey is Pulsatilla rubra (Lam.) Delarbre",
 "TaxonKey is Rumex suffruticosus Meisn.",
 "TaxonKey is Erica multiflora L.",
 "TaxonKey is Dianthus marizii (Samp.) Samp.",
 "TaxonKey is Isoetes malinverniana Cesati & De Not.",
 "TaxonKey is Odontites granatensis Boiss.",
 "TaxonKey is Aconitum pyrenaicum L.",
 "TaxonKey is Hypericum robertii Coss. ex Batt. & Trab.",
 "TaxonKey is Rhinanthus osiliensis (Ronniger & Saarsoo) Vassilcz.",
 "TaxonKey is Pterocephalus virens Webb & Berthel.",
 "TaxonKey is Silene furcata subsp. angustiflora (Rupr.) Walters",
 "TaxonKey is Betula pendula subsp. fontqueri (Rothm.) G.Moreno & Peinado",
 "TaxonKey is Linaria amethystea (Vent.) Hoffmanns. & Link",
 "TaxonKey is Frankenia laevis subsp. laevis",
 "TaxonKey is Sideritis gomerae subsp. gomerae",
 "TaxonKey is Linaria depauperata subsp. hegelmaieri (Lange) De la Torre, Alcaraz & M.B.Crespo"
 ]
 }
 ]
}

 The dataset includes 32810 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032148-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9pnj7
title: Occurrence Download

description: A dataset containing 61941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 24.085278",
 "DecimalLatitude is less than or equal to 29.085278",
 "DecimalLongitude is greater than or equal to 80.0",
 "DecimalLongitude is less than or equal to 85.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 61941 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045887-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vt39xf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((114.379 -2.221824, 114.308684 -2.227389, 114.240098 -2.243947, 114.174929 -2.271092, 114.114781 -2.308155, 114.061133 -2.354224, 114.015306 -2.408165, 113.978429 -2.468653, 113.951411 -2.534197, 113.934917 -2.603184, 113.929356 -2.673917, 113.934866 -2.744654, 113.951314 -2.813653, 113.978296 -2.879215, 114.01515 -2.939725, 114.060968 -2.993692, 114.114624 -3.039786, 114.174796 -3.076871, 114.240001 -3.104034, 114.308633 -3.120604, 114.379 -3.126173, 114.449367 -3.120604, 114.517999 -3.104034, 114.583204 -3.076871, 114.643376 -3.039786, 114.697032 -2.993692, 114.74285 -2.939725, 114.779704 -2.879215, 114.806686 -2.813653, 114.823134 -2.744654, 114.828644 -2.673917, 114.823083 -2.603184, 114.806589 -2.534197, 114.779571 -2.468653, 114.742694 -2.408165, 114.696867 -2.354224, 114.643219 -2.308155, 114.583071 -2.271092, 114.517902 -2.243947, 114.449316 -2.227389, 114.379 -2.221824))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045906-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.14885155
title: Improved River Slope Datasets for the United States Hydrofabrics

description: The CONtiguous United States (CONUS) “Flood Inundation Mapping Hydrofabric - ICESat-2 River Surface Slope” (FIM HF IRIS) dataset integrates river slopes from the global IRIS dataset for 117,357 spatially corresponding main-stream reaches within NOAA’s Office of Water Prediction operational FIM forecasting system, which utilizes the Height Above Nearest Drainage approach (OWP HAND-FIM) to help warn communities of floods. To achieve this, a spatial joining approach was developed to align FIM HF reaches with IRIS reaches, accounting for differences in reach flowline sources. When applied to OWP HAND-FIM, FIM HF IRIS improved flood map accuracy by an average of 31% (CSI) across eight flood events compared to the original FIM HF slopes. Using a common attribute, IRIS data were also transferred from FIM HF IRIS to the CONUS-scale Next Generation Water Resources Modeling Framework Hydrofabric (NextGen HF), creating the NextGen HF IRIS dataset. By referencing another common attribute, SWOT vector data (e.g., water surface elevation, slope, discharge) can be leveraged by OWP HAND-FIM and NextGen through the two resulting datasets. The spatial joining approach, which enables the integration of FIM HF with other hydrologic datasets via flowlines, is provided alongside the two resulting datasets.

If you use this dataset in your work, please cite: 

Chen, Y., Cohen, S., Baruah, A., Devi, D., Dhital, S., Tian, D., & Munasinghe, D. (2025). Merging Remote Sensing Derived River Slope Datasets with High-Resolution Hydrofabrics for the United States. Scientific Data, 12(1), 1657. https://www.nature.com/articles/s41597-025-05941-6

 

1. Version History

FIM HF IRIS Version 1 - Version 3: Based on OWP HAND-FIM HF v4.5.2.11, SWORD v16 and IRIS v2.6.

NextGen HF IRIS Version 1 - Version 3: Based on FIM HF IRIS v1.0 and NextGen HF v2.2, joined through the common fields, i.e., id, in both hydrofabrics.

FIM HF IRIS Version v4: Based on OWP HAND-FIM HF v4.8.6.1, SWORD v17 and IRIS v3.2, joined using the improved RiverJoin spatial framework for better join performance (more complete extraction and fewer wrongly extracted reaches).

NextGen HF IRIS Version v4: Will be based on NextGen HF v3.0, SWORD v17b and IRIS v3.3, using the RiverJoin framework.

 

2. Variable Description

2.1 FIM HF IRIS v4

HydroID:

Unique identifier for FIM HF stream reaches

From_Node:

Upstream node ID

To_Node:

Downstream node ID

reach_id:

The SWORD reach identifier

slope_iris_v3_2:

The IRIS slope joined to the corresponding FIM HF flowline [mm/mm]

slope_sword_v17:

The SWORD slope joined to the corresponding FIM HF flowline [mm/mm]

 

2.2 NextGen HF IRIS v4

In production and will be uploaded soon!
DOI: 10.5281/zenodo.17886466
title: Improved River Slope Datasets for the United States Hydrofabrics

description: The CONtiguous United States (CONUS) “Flood Inundation Mapping Hydrofabric - ICESat-2 River Surface Slope” (FIM HF IRIS) dataset integrates river slopes from the global IRIS dataset for 117,357 spatially corresponding main-stream reaches within NOAA’s Office of Water Prediction operational FIM forecasting system, which utilizes the Height Above Nearest Drainage approach (OWP HAND-FIM) to help warn communities of floods. To achieve this, a spatial joining approach was developed to align FIM HF reaches with IRIS reaches, accounting for differences in reach flowline sources. When applied to OWP HAND-FIM, FIM HF IRIS improved flood map accuracy by an average of 31% (CSI) across eight flood events compared to the original FIM HF slopes. Using a common attribute, IRIS data were also transferred from FIM HF IRIS to the CONUS-scale Next Generation Water Resources Modeling Framework Hydrofabric (NextGen HF), creating the NextGen HF IRIS dataset. By referencing another common attribute, SWOT vector data (e.g., water surface elevation, slope, discharge) can be leveraged by OWP HAND-FIM and NextGen through the two resulting datasets. The spatial joining approach, which enables the integration of FIM HF with other hydrologic datasets via flowlines, is provided alongside the two resulting datasets.

If you use this dataset in your work, please cite: 

Chen, Y., Cohen, S., Baruah, A., Devi, D., Dhital, S., Tian, D., & Munasinghe, D. (2025). Merging Remote Sensing Derived River Slope Datasets with High-Resolution Hydrofabrics for the United States. Scientific Data, 12(1), 1657. https://www.nature.com/articles/s41597-025-05941-6

 

1. Version History

FIM HF IRIS Version 1 - Version 3: Based on OWP HAND-FIM HF v4.5.2.11, SWORD v16 and IRIS v2.6.

NextGen HF IRIS Version 1 - Version 3: Based on FIM HF IRIS v1.0 and NextGen HF v2.2, joined through the common fields, i.e., id, in both hydrofabrics.

FIM HF IRIS Version v4: Based on OWP HAND-FIM HF v4.8.6.1, SWORD v17 and IRIS v3.2, joined using the improved RiverJoin spatial framework for better join performance (more complete extraction and fewer wrongly extracted reaches).

NextGen HF IRIS Version v4: Will be based on NextGen HF v3.0, SWORD v17b and IRIS v3.3, using the RiverJoin framework.

 

2. Variable Description

2.1 FIM HF IRIS v4

HydroID:

Unique identifier for FIM HF stream reaches

From_Node:

Upstream node ID

To_Node:

Downstream node ID

reach_id:

The SWORD reach identifier

slope_iris_v3_2:

The IRIS slope joined to the corresponding FIM HF flowline [mm/mm]

slope_sword_v17:

The SWORD slope joined to the corresponding FIM HF flowline [mm/mm]

 

2.2 NextGen HF IRIS v4

In production and will be uploaded soon!
DOI: 10.5281/zenodo.17873854
title: Ypao Beach Park SWAC (LiDAR) - November 12, 2025

description: This LiDAR dataset of Tumon (Ypao Beach Park), Guam was created from 1018 images taken on November 12 2025, at 221 ft AGL, with a DJI Matrice 350. The mission was planned using the DJI Pilot application and post-processed using DJI Terra. This project was made possible through funding by the following grant(s): NASA Guam EPSCoR  (80NSSC22M0052), NASA Guam Space Grant  (80NSSC20M0039 / UH Subaward: MA1550) , and PI-CASC (G19AC00087).
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

 

The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.

By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer.

 

 

Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.17873855
title: Ypao Beach Park SWAC (LiDAR) - November 12, 2025

description: This LiDAR dataset of Tumon (Ypao Beach Park), Guam was created from 1018 images taken on November 12 2025, at 221 ft AGL, with a DJI Matrice 350. The mission was planned using the DJI Pilot application and post-processed using DJI Terra. This project was made possible through funding by the following grant(s): NASA Guam EPSCoR  (80NSSC22M0052), NASA Guam Space Grant  (80NSSC20M0039 / UH Subaward: MA1550) , and PI-CASC (G19AC00087).
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

 

The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.

By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer.

 

 

Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.17887484
title: The Causal Nexus Between Lower Cervical Nerve Compression and Multifarious Idiopathic Symptoms: A Mechanistic, Empirical, and Quantitative Exploration with Implications for Global Health Policy

description: This conceptual and normative manuscript elucidates the causal linkage between compressive neuropathies in the lower cervical spine---particularly impinging the phrenic (C3--C5), vagus (CN X), and brachial plexus nerves---and a spectrum of refractory idiopathic pathologies.These include intractable hiccups, myoclonic-like seizures, colonic spasms, limb weakness/coldness, dysregulated sweating, and treatment-resistant depression, anxiety, and stress.Precipitated by maladaptive sleep ergonomics on rigid pillows, mechanical impingement via clavicular pressure---exacerbated by muscular hypotonia and circulatory deficits---induces neural ischemia, inflammatory cascades, and dysautonomia.Employing biomechanical finite element modeling, stochastic Monte Carlo simulations (Python 3.12.3), Sobol sensitivity analysis, variational Bayesian inference for uncertainty quantification, and Popperian falsifiability assays, we substantiate these interrelations.Meta-analyzed cohorts (n=1,247; OR=3.8--5.2; p<10^{-5}) affirm reproducibility and generalizability.TikZ schematics and PGFPlots visualizations delineate pathophysiological mechanisms.Adhering to CONSORT/ICH-GCP standards, this work advances neuroergonomics and public health. It advocates ergonomic interventions and vagus nerve stimulation (VNS)---evidenced by 40--60% response rates in depression (RR=1.8; 95% CI [1.4--2.3]) and 45--65% seizure reduction in epilepsy---as scalable prophylactics aligned with WHO NCD frameworks.