cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bmm92c
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pycnospatha arietina",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001098-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ty2gwj
title: Occurrence Download

description: A dataset containing 181 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 Neoregelia cruenta"
 ]
}

 The dataset includes 181 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001097-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18523755
title: Model results for Kuroshio-origin new and regenerated nutrients over the East China Sea

description: Processed model data from the physical-biological coupled model with a tracking technique.
DOI: 10.5281/zenodo.18523756
title: Model results for Kuroshio-origin new and regenerated nutrients over the East China Sea

description: Processed model data from the physical-biological coupled model with a tracking technique.
DOI: 10.5281/zenodo.18525199
title: "Experimental Validation of the AZTp Sovereign Protocol: Comparative Analysis of Diagnostic Precision and Computational Latency in Cloud Environments (Kaggle & Google Colab)"

description: Technical Abstract for Zenodo Documentation

Title: Validation of the AZTp Sovereign Protocol Performance Metrics

Executive Summary:

This documentation presents the empirical results of the Ait Zaouit Protocol (AZTp) through high-fidelity simulations in the field of computational medicine. The objective was to evaluate the protocol’s reliability in high-stakes diagnostic scenarios and its operational efficiency on standard cloud-based hardware infrastructures (Kaggle and Google Colab).

Methodology:

The testing framework utilized a high-density diagnostic simulation model to measure two critical performance indicators:

Precision Stability: Accuracy assessment through a controlled confusion matrix analysis.

Computational Velocity: Latency measurement during real-time inference execution.

Key Findings:

Accuracy Achievement: The protocol demonstrated a superior precision rate of 99.92%. The distribution of results across the diagnostic matrix indicates a significant reduction in statistical noise and computational errors.

Inference Latency: A breakthrough processing speed of 0.8 milliseconds (ms) was recorded. Comparative analysis against traditional high-performance computing (HPC) models shows a substantial reduction in time-complexity, achieved without hardware-specific optimization.

Conclusion:

The results confirm that the AZTp Protocol provides a robust and scalable solution for real-time data processing requirements. By maintaining consistent performance across different cloud environments, the protocol establishes a new sovereign benchmark for high-speed, high-precision logical execution.

Keywords: Computational Logic, AZTp Protocol, Diagnostic Precision, Real-time Processing, Sovereign Technology, Inference Latency.
DOI: 10.5281/zenodo.18525198
title: "Experimental Validation of the AZTp Sovereign Protocol: Comparative Analysis of Diagnostic Precision and Computational Latency in Cloud Environments (Kaggle & Google Colab)"

description: Technical Abstract for Zenodo Documentation

Title: Validation of the AZTp Sovereign Protocol Performance Metrics

Executive Summary:

This documentation presents the empirical results of the Ait Zaouit Protocol (AZTp) through high-fidelity simulations in the field of computational medicine. The objective was to evaluate the protocol’s reliability in high-stakes diagnostic scenarios and its operational efficiency on standard cloud-based hardware infrastructures (Kaggle and Google Colab).

Methodology:

The testing framework utilized a high-density diagnostic simulation model to measure two critical performance indicators:

Precision Stability: Accuracy assessment through a controlled confusion matrix analysis.

Computational Velocity: Latency measurement during real-time inference execution.

Key Findings:

Accuracy Achievement: The protocol demonstrated a superior precision rate of 99.92%. The distribution of results across the diagnostic matrix indicates a significant reduction in statistical noise and computational errors.

Inference Latency: A breakthrough processing speed of 0.8 milliseconds (ms) was recorded. Comparative analysis against traditional high-performance computing (HPC) models shows a substantial reduction in time-complexity, achieved without hardware-specific optimization.

Conclusion:

The results confirm that the AZTp Protocol provides a robust and scalable solution for real-time data processing requirements. By maintaining consistent performance across different cloud environments, the protocol establishes a new sovereign benchmark for high-speed, high-precision logical execution.

Keywords: Computational Logic, AZTp Protocol, Diagnostic Precision, Real-time Processing, Sovereign Technology, Inference Latency.
DOI: 10.15468/dl.c2g7eu
title: Occurrence Download

description: A dataset containing 203565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydroporus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 203565 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001061-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bqcsk
title: Occurrence Download

description: A dataset containing 12 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 Nidularium itatiaiae"
 ]
}

 The dataset includes 12 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001103-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zff4r
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Remusatia hookeriana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 92 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001100-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khqr42
title: Occurrence Download

description: A dataset containing 234 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;= 24.552553756517728
 AND decimallatitude &lt;= 28.773895969281842
 AND decimallongitude &gt;= 5.290045945230182
 AND decimallongitude &lt;= 10.826001776192014
 AND GBIF_Within('POLYGON ((10.826002 24.552554, 10.826002 28.773896, 5.290046 28.773896, 5.290046 24.552554, 10.826002 24.552554))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 234 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001084-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ta45ks
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cupressus gigantea"
 ]
}

 The dataset includes 34 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001101-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18523801
title: Raw Datasets for I-AMPPM Framework Validation: Multi-Scenario ROC Metrics and 90-Run Simulation Results

description: This repository contains the raw empirical data and performance validation metrics supporting the research article: "An Intelligent and Adaptive Environmental Governance Framework for Sustainable Oceans: Policy-Oriented Integration of Monitoring and Response Systems for Ports and Offshore Pollution."

To ensure full scientific transparency and reproducibility, we have provided the following two primary datasets:

1. Supplementary Data Sheet 1: ROC Analysis Metrics (roc_data_combined.csv) This dataset contains the performance evaluation results for the AI-driven sensing layer across three critical maritime pollution scenarios: Port-area Oil Spill, Offshore Vessel Leakage, and Illegal Discharge. Metrics included: False Positive Rate (FPR), True Positive Rate (TPR), Youden’s J Index, and Area Under the Curve (AUC).

2. Supplementary Data Sheet 2: Simulation Raw Dataset (I-AMPPM_simulation_dataset.csv) This dataset provides the complete output records for 90 independent simulation runs (30 runs per scenario). Variables included: run_id, scenario type, area_true_m2, area_pred_m2, latency_ms, precision, recall, and RMSE.

Methodological Summary: The data was generated using a high-fidelity maritime simulation environment. AI detection was validated against varied environmental noise. All statistical analyses and 95% confidence intervals reported in the study were derived from these raw datasets.
DOI: 10.5281/zenodo.18523802
title: Raw Datasets for I-AMPPM Framework Validation: Multi-Scenario ROC Metrics and 90-Run Simulation Results

description: This repository contains the raw empirical data and performance validation metrics supporting the research article: "An Intelligent and Adaptive Environmental Governance Framework for Sustainable Oceans: Policy-Oriented Integration of Monitoring and Response Systems for Ports and Offshore Pollution."

To ensure full scientific transparency and reproducibility, we have provided the following two primary datasets:

1. Supplementary Data Sheet 1: ROC Analysis Metrics (roc_data_combined.csv) This dataset contains the performance evaluation results for the AI-driven sensing layer across three critical maritime pollution scenarios: Port-area Oil Spill, Offshore Vessel Leakage, and Illegal Discharge. Metrics included: False Positive Rate (FPR), True Positive Rate (TPR), Youden’s J Index, and Area Under the Curve (AUC).

2. Supplementary Data Sheet 2: Simulation Raw Dataset (I-AMPPM_simulation_dataset.csv) This dataset provides the complete output records for 90 independent simulation runs (30 runs per scenario). Variables included: run_id, scenario type, area_true_m2, area_pred_m2, latency_ms, precision, recall, and RMSE.

Methodological Summary: The data was generated using a high-fidelity maritime simulation environment. AI detection was validated against varied environmental noise. All statistical analyses and 95% confidence intervals reported in the study were derived from these raw datasets.
DOI: 10.15468/dl.seus7s
title: Occurrence Download

description: A dataset containing 1833 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 Noaea mucronata"
 ]
}

 The dataset includes 1833 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001105-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34u6pc
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Remusatia vivipara",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 211 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001107-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmfrc8
title: Occurrence Download

description: A dataset containing 16850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cetorhinus maximus"
 ]
}

 The dataset includes 16850 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001108-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgdfcw
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxyuranus microlepidotus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 201 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001112-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fycdzp
title: Occurrence Download

description: A dataset containing 1 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 Nopalea karwinskiana"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001110-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aecm5d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhynchopyle loi",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001111-260208012135463/datasets/export for details.
DOI: 10.15468/dl.39xfbk
title: Occurrence Download

description: A dataset containing 1 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 Nopalea karwinskiana"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001114-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvu4c7
title: Occurrence Download

description: A dataset containing 732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxyuranus scutellatus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 732 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001113-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18525173
title: Palladium-Catalyzed Enantioselective Alkenylation of Acyclic Alkenols Enabled by Chiral BINOL Ligands: Broad Scope with Alkenyl Bromides

description: This folder /DFT_optimized_structures/ contains the DFT-optimized geometries (in .xyz format together with the gas-phase energy, E) accompanying the paper
DOI: 10.5281/zenodo.18525172
title: Palladium-Catalyzed Enantioselective Alkenylation of Acyclic Alkenols Enabled by Chiral BINOL Ligands: Broad Scope with Alkenyl Bromides

description: This folder /DFT_optimized_structures/ contains the DFT-optimized geometries (in .xyz format together with the gas-phase energy, E) accompanying the paper
DOI: 10.15468/dl.scyn2q
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sauromatum giganteum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 134 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001115-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18508453
title: Open-Loop Evaluation Encounter Sets for the Structured Urban Environment

description: This package includes encounter data to test undesired alerting by a DAA system in the urban environment for three typical geometries: passing in opposite directions, horizontal crossing, and vertical crossing. This data is described in the RTCA Minimum Operational Performance Standards for Detect and Avoid Systems (DO-365D) Appendix P and was used for development and testing of the ACAS Xr system.
DOI: 10.5281/zenodo.18508454
title: Open-Loop Evaluation Encounter Sets for the Structured Urban Environment

description: This package includes encounter data to test undesired alerting by a DAA system in the urban environment for three typical geometries: passing in opposite directions, horizontal crossing, and vertical crossing. This data is described in the RTCA Minimum Operational Performance Standards for Detect and Avoid Systems (DO-365D) Appendix P and was used for development and testing of the ACAS Xr system.
DOI: 10.6084/m9.figshare.31289359
title: Learning Outside The Classroom Data

description: This information contains data collected after conducting semi- structured interviews with delivery drivers. The data speaks to informal learning on the job and development opportunities. Data collection was completed by Diana Enriquez after receiving research funding from the Sloan Foundation and the Princeton School of International Affairs.
DOI: 10.6084/m9.figshare.31289359.v1
title: Learning Outside The Classroom Data

description: This information contains data collected after conducting semi- structured interviews with delivery drivers. The data speaks to informal learning on the job and development opportunities. Data collection was completed by Diana Enriquez after receiving research funding from the Sloan Foundation and the Princeton School of International Affairs.
DOI: 10.5281/zenodo.18525159
title: De-identified dataset for: Prevalence and Factors Associated with Substance Use Disorders Among Undergraduate University Students at Makerere University

description: This dataset contains de-identified individual-level data used in the analysis for the manuscript entitled “Prevalence and Factors Associated with Substance Use Disorders Among Undergraduate University Students at Makerere University”.

The dataset includes sociodemographic characteristics and substance use–related variables collected via a cross-sectional survey of undergraduate students at Makerere University.

All direct identifiers have been removed, and unique study IDs were assigned to participants prior to data sharing. The data support the results reported in the associated manuscript submitted to PLOS Mental Health.
description: The dataset was generated as part of a cross-sectional study conducted among undergraduate students at Makerere University. Data were collected using a structured questionnaire and include variables related to sociodemographic characteristics and substance use behaviors. The dataset is provided in Excel format and is intended to support reproducibility and secondary analyses.
DOI: 10.5281/zenodo.18525158
title: De-identified dataset for: Prevalence and Factors Associated with Substance Use Disorders Among Undergraduate University Students at Makerere University

description: This dataset contains de-identified individual-level data used in the analysis for the manuscript entitled “Prevalence and Factors Associated with Substance Use Disorders Among Undergraduate University Students at Makerere University”.

The dataset includes sociodemographic characteristics and substance use–related variables collected via a cross-sectional survey of undergraduate students at Makerere University.

All direct identifiers have been removed, and unique study IDs were assigned to participants prior to data sharing. The data support the results reported in the associated manuscript submitted to PLOS Mental Health.
description: The dataset was generated as part of a cross-sectional study conducted among undergraduate students at Makerere University. Data were collected using a structured questionnaire and include variables related to sociodemographic characteristics and substance use behaviors. The dataset is provided in Excel format and is intended to support reproducibility and secondary analyses.
DOI: 10.15468/dl.fe9g3r
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dipteronia dyeriana"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001116-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6w2p6
title: Occurrence Download

description: A dataset containing 11 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 Notylia albida"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001117-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xx9d2
title: Occurrence Download

description: A dataset containing 11814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notechis scutatus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 11814 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001118-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.