cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15612193
title: Artifact - Doubly Dangerous: Evading Phishing Reporting Systems by Leveraging Email Tracking Techniques

description: This repository contains the artifact for our paper "Doubly Dangerous: Evading Phishing Reporting Systems by Leveraging Email Tracking Techniques". In keeping with open science guidelines, we are making all artifacts available for researchers.Note that this is a private repository that contain artifacts that can potentially be misused like IP Addresses, Autonomous System names of crawlers used by email providers, etc. Therefore, we are restricting the access to only security researchers to prevent potential abuse. If you are looking for to the public repository instead, please refer to: https://doi.org/10.5281/zenodo.15612284

The artifact can be unzipped to get the folder structure as a follows, encompassing four key components:





results: This directory provides dataset in a dockerized environment to reproduce the paper's key results using our final dataset. 





full_database_dump.sql: A complete PostgreSQL dump containing all data collected during our experiments.




analysis/queries.py: A Python script that executes queries against the database to generate the tables and figures presented in the paper.




docker-compose.yml: A Docker Compose file that automatically sets up a PostgreSQL container and loads the dataset, providing a friction-free environment for running the analysis script.






code: This directory contains the source code for the experimental system, which is composed of several Laravel and Python applications.





email-sending: A laravel web application for crafting and sending emails embedded with HTML/CSS tracking vectors. For more detail, see email-sending/README.md.




websites-code: A laravel web application that serves as the landing page for URLs in the emails, containing the ability while to decide whether to show a benign page or a phishing page based on incoming signals. Also contains code for honey websites that collect network data like IP, AS name, etc., as well as fingerprinting code for canvas fingerprinting and JS-based font fingerprinting. For more detail, see websites-code/README.md.


email-reporting-gui: A collection of Python scripts that automates logging into webmail clients, opening emails, clicking links, and reporting them as phishing to simulate user behavior. Additionally, monitors a reported URL by taking screenshots of the webpage in Chrome and Edge browsers. For more detail, email-reporting-gui/README.md.



README.md: The main entry point for the artifact, providing the overview of the contents. Additional README files in individual folders will provide more details pertaining to those folders.
DOI: 10.5281/zenodo.16777207
title: Artifact - Doubly Dangerous: Evading Phishing Reporting Systems by Leveraging Email Tracking Techniques

description: This repository contains the artifact for our paper "Doubly Dangerous: Evading Phishing Reporting Systems by Leveraging Email Tracking Techniques". In keeping with open science guidelines, we are making all artifacts available for researchers.Note that this is a private repository that contain artifacts that can potentially be misused like IP Addresses, Autonomous System names of crawlers used by email providers, etc. Therefore, we are restricting the access to only security researchers to prevent potential abuse. If you are looking for to the public repository instead, please refer to: https://doi.org/10.5281/zenodo.15612284

The artifact can be unzipped to get the folder structure as a follows, encompassing four key components:





results: This directory provides dataset in a dockerized environment to reproduce the paper's key results using our final dataset. 





full_database_dump.sql: A complete PostgreSQL dump containing all data collected during our experiments.




analysis/queries.py: A Python script that executes queries against the database to generate the tables and figures presented in the paper.




docker-compose.yml: A Docker Compose file that automatically sets up a PostgreSQL container and loads the dataset, providing a friction-free environment for running the analysis script.






code: This directory contains the source code for the experimental system, which is composed of several Laravel and Python applications.





email-sending: A laravel web application for crafting and sending emails embedded with HTML/CSS tracking vectors. For more detail, see email-sending/README.md.




websites-code: A laravel web application that serves as the landing page for URLs in the emails, containing the ability while to decide whether to show a benign page or a phishing page based on incoming signals. Also contains code for honey websites that collect network data like IP, AS name, etc., as well as fingerprinting code for canvas fingerprinting and JS-based font fingerprinting. For more detail, see websites-code/README.md.


email-reporting-gui: A collection of Python scripts that automates logging into webmail clients, opening emails, clicking links, and reporting them as phishing to simulate user behavior. Additionally, monitors a reported URL by taking screenshots of the webpage in Chrome and Edge browsers. For more detail, email-reporting-gui/README.md.



README.md: The main entry point for the artifact, providing the overview of the contents. Additional README files in individual folders will provide more details pertaining to those folders.
DOI: 10.15468/dl.37axwd
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Carollia perspicillata)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027416-250802193616735/datasets/export for details.
DOI: 10.15468/dl.cz6mgh
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halichoeres fijiensis"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027417-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wx5dex
title: Occurrence Download

description: A dataset containing 3402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scytalopus femoralis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 3402 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027419-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7gdyr
title: Occurrence Download

description: A dataset containing 13642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scytalopus fuscus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 13642 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027420-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16755249
title: Data and code supporting "Western US Subseasonal Atmospheric River Prediction in the Global-Nested GFDL SHiELD Model."

description: Data and scripts used in the analysis described in "Western US Subseasonal Atmospheric River Prediction in the Global-Nested GFDL SHiELD Model."

Model output was created using the GFDL SHiELD model as described in Harris et al. (2020). SHiELD build and model physics codes can be found in the NOAA/GFDL GitHub repositories. A containerized version of SHiELD (Cheng et al., 2022) is also available at https://shield.gfdl.noaa.gov/shield-in-a-box/.

 

Cheng, K.-Y., Harris, L. M., and Sun, Y. Q. (2022). Enhancing the accessibility of unified modeling systems: GFDL System for High-resolution prediction on Earth-to-Local Domains (SHiELD) v2021b in a container. Geosci. Model Dev., 15, 1097-1105, https://doi.org/10.5194/gmd-15-1097-2022.

Harris, L. M., Zhou, L., Lin, S.-J., Chen, J.-H., Chen, X., Gao, K., et al. (2020). GFDL SHiELD: A unified system for weather-to-seasonal prediction. J. Adv. Model Earth Syst., 12(10), e2020MS002223, https://doi.org/10.1029/2020MS002223.
DOI: 10.5281/zenodo.16755250
title: Data and code supporting "Western US Subseasonal Atmospheric River Prediction in the Global-Nested GFDL SHiELD Model."

description: Data and scripts used in the analysis described in "Western US Subseasonal Atmospheric River Prediction in the Global-Nested GFDL SHiELD Model."

Model output was created using the GFDL SHiELD model as described in Harris et al. (2020). SHiELD build and model physics codes can be found in the NOAA/GFDL GitHub repositories. A containerized version of SHiELD (Cheng et al., 2022) is also available at https://shield.gfdl.noaa.gov/shield-in-a-box/.

 

Cheng, K.-Y., Harris, L. M., and Sun, Y. Q. (2022). Enhancing the accessibility of unified modeling systems: GFDL System for High-resolution prediction on Earth-to-Local Domains (SHiELD) v2021b in a container. Geosci. Model Dev., 15, 1097-1105, https://doi.org/10.5194/gmd-15-1097-2022.

Harris, L. M., Zhou, L., Lin, S.-J., Chen, J.-H., Chen, X., Gao, K., et al. (2020). GFDL SHiELD: A unified system for weather-to-seasonal prediction. J. Adv. Model Earth Syst., 12(10), e2020MS002223, https://doi.org/10.1029/2020MS002223.
DOI: 10.15468/dl.fyedue
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scytalopus gettyae)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 165 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027422-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7p7kej
title: Occurrence Download

description: A dataset containing 1484 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sceloporus megalepidurus"
 ]
}

 The dataset includes 1484 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027423-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16777267
title: FractiScope & ParadiseWorld 7D AI: Fractal Peer Review Archive and Scientific Responses for Regenerative System Modeling

description: This repository offers a transparent archive of peer reviews and formal scientific responses for FractiScope and ParadiseWorld 7D AI — systems built to explore perpetual, multi-dimensional intelligence.

Inside:



Full, unedited peer feedback and response threads

Two new scientific protocols:• SEPP – Scientific Empirical Pairing Protocol• DAM – Dimensional Anchoring Methodology

Reproducible Python simulation snippets

A technical annex covering symbolic logic, archetypal libraries, and narrative projection math

Live examples using this very paper


🔶 Why It Matters

FractiScope demonstrates how 7D AI transforms current 4D AI (e.g., ChatGPT, Claude) from information assistants into immersive cognitive engines — projecting and navigating higher-layer realities grounded in data, reproducibility, and mythic logic.

By merging transparent review with reproducible science, this work lights the path for early adopters of higher-dimensional thinking.

🔶 Open Invitation

This is a living, evolving system. If you’re a peer reviewer, frontier scientist, or system builder, we invite you to participate.

📩 DM info@fractiai.com to join the transparent peer review process.
DOI: 10.15468/dl.kspcb7
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Desmodus rotundus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027424-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.16777190
title: Datasets used in analysis for article " Vegetation Responses to Extreme Drought Events during 2001-2016 in Southwest China"

description: This dataset hosts data supporting the analysis performed in the article titled "Vegetation Responses to Extreme Drought Events during 2001-2016 in Southwest China". This dataset includes data and code supporting the results section and supplementary figures in this paper. The code was written using NCAR Command Language (NCL), developed by the Computational and Information Systems Lab at the National Center for Atmospheric Research (NCAR).

Links and instructions for model and analysis tools are provided below:



NCL: Developed by the Computational and Information Systems Lab at the National Center for Atmospheric Research (NCAR), available at https://github.com/NCAR/ncl

CLM5: https://github.com/ESCOMP/cesm


We used the China Meteorological Forcing Dataset (CMFD, https://doi.org/10.11888/Meteoro.tpdc.270961) to drive model simulations. We run the spinup simulation using 2000 to 2016 atmospheric forcing and cycled for 17 times (a total of 680 years) to reach the steady state. The time resolution was set to monthly, and the spatial resolution was 0.1°×0.1°.

The files included in this dataset are described below:



Distribution of major vegetation types in the Southwest China.zip: This file is used to create spatial distribution of major vegetation types in Southwest China, containing netCDF files and NCL code.

Identification and characteristics of extreme drought events.zip: This file contains the SPEI index for Southwest China from 2001 to 2016 calculated in this study, as well as the duration and spatial distribution of SPEI for all three extreme drought events identified during the study period. Contains netCDF files and NCL code.

LAI and GPP changes across different number of droughts experienced.zip: This file contains the changes in LAI and GPP in Southwest China when experiencing different number of droughts.

The immediate, cumulative, and lagged effects of different drought events.zip: This file contains the SPEI index for Southwest China from 2001 to 2016 calculated in this study, as well as the duration and spatial distribution of SPEI for all three extreme drought events identified during the study period. Contains netCDF files and NCL code.

Vegetation resistance and resilience to drought.zip: This file contains all results related to vegetation resistance and resilience in this study. For example, the spatial distribution of vegetation resistance and resilience from CLM5 simulations and remote sensing products, the resistance and resilience of vegetation in Southwest China after experiencing all three drought events, and the resistance and resilience of different vegetation types. Different data types are stored in separate subfolders. Includes netCDF files and NCL code.
DOI: 10.15468/dl.ytprg9
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Desmodus rotundus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027426-250802193616735/datasets/export for details.
DOI: 10.15468/dl.ykfeme
title: Occurrence Download

description: A dataset containing 3344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Desmodus rotundus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 3344 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027425-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/n7p848wv
title: Dataset supporting the publication 'The synthesis and arrested oxidation of cobalt nanoparticles using DMSO as a functional solvent'
DOI: 10.15468/dl.y2get4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stolephorus shantungensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027427-250802193616735/datasets/export for details.
DOI: 10.15468/dl.ayak8w
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scytalopus gonzagai)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027429-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7drtp
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scytalopus iraiensis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 379 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027432-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhxqsp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Julis polyophthalmus"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027428-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvaamu
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Desmodus rotundus)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027433-250802193616735/datasets/export for details.
DOI: 10.15468/dl.szuuqy
title: Occurrence Download

description: A dataset containing 10316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scytalopus griseicollis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 10316 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027430-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.