cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cp9gpe
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cymbella turgidula",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 241 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030027-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30200542
title: ----

description: ----
DOI: 10.6084/m9.figshare.30200542.v4
title: ----

description: ----
DOI: 10.6084/m9.figshare.30200542.v3
title: Ethical considerations in software development

description: We’re conducting this survey to explore how software developers deal with ethical issues about the software they develop. Ethical issues in software, such as privacy, accessibility flaws, manipulative design, or algorithmic biases, affect individuals and/or society as a whole in a harmful way.
DOI: 10.15468/dl.u9fwcc
title: Occurrence Download

description: A dataset containing 906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-41.02292 -21.79423,-41.02009 -21.79347,-41.01289 -21.79151,-41.01306 -21.79081,-41.01327 -21.78998,-41.01351 -21.78902,-41.01357 -21.78879,-41.01463 -21.78413,-41.01597 -21.77774,-41.01659 -21.77481,-41.01723 -21.77211,-41.01871 -21.76587,-41.02034 -21.759,-41.02172 -21.75301,-41.02297 -21.74656,-41.02398 -21.74123,-41.02453 -21.73895,-41.02512 -21.73665,-41.02529 -21.73559,-41.0255 -21.73432,-41.02574 -21.73285,-41.02595 -21.73158,-41.02601 -21.73093,-41.02607 -21.73006,-41.02612 -21.72925,-41.02616 -21.72865,-41.02618 -21.72838,-41.03714 -21.72886,-41.03781 -21.72889,-41.03774 -21.73005,-41.03788 -21.73112,-41.03797 -21.73167,-41.03805 -21.73205,-41.03826 -21.73288,-41.03833 -21.73385,-41.03817 -21.73492,-41.03784 -21.73656,-41.03827 -21.73807,-41.03906 -21.73975,-41.04029 -21.73992,-41.04087 -21.7405,-41.04093 -21.74152,-41.04096 -21.74244,-41.04132 -21.74375,-41.04233 -21.74449,-41.04353 -21.74527,-41.04366 -21.74568,-41.04307 -21.74614,-41.04255 -21.7473,-41.0424 -21.74869,-41.04242 -21.74946,-41.04258 -21.75012,-41.04242 -21.75111,-41.04283 -21.75245,-41.04325 -21.75333,-41.04364 -21.75405,-41.044 -21.75439,-41.04394 -21.75454,-41.03719 -21.77592,-41.02693 -21.7953,-41.02507 -21.79482,-41.02292 -21.79423))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 906 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030028-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjd7ea
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA.21_1",
 "TaxonKey is Vachellia caven"
 ]
}

 The dataset includes 54 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030029-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30234604
title: Ethical considerations in software development

description: We’ve conducted this survey to explore how software developers deal with ethical issues about the software they develop. Ethical issues in software, such as privacy, accessibility flaws, manipulative design, or algorithmic biases, affect individuals and/or society as a whole in a harmful way.
DOI: 10.6084/m9.figshare.30234604.v1
title: Ethical considerations in software development

description: We’ve conducted this survey to explore how software developers deal with ethical issues about the software they develop. Ethical issues in software, such as privacy, accessibility flaws, manipulative design, or algorithmic biases, affect individuals and/or society as a whole in a harmful way.
DOI: 10.15468/dl.pucdz9
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer campestre",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 250 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030030-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17226986
title: VARZIN Global Scientific Declaration – Conscious Field Model, Nuclear Disarmament & Luxvar Harmonic Integration

description: This document represents the official global scientific declaration of the VARZIN Project — a field-based framework integrating toroidal geometry, Luxvar symbolic language, and resonance-field engineering to address planetary consciousness, harmonic communication, and nuclear disarmament.

The declaration includes:



🔬 Main Components Inside the Document





Nuclear Disruption ReportSimulation data showing VARZIN field frequencies (especially 474 Hz, 144 Hz, 777 Hz) lowering the effective multiplication factor (kₑff) in U-235 and Pu-239 bombs. Demonstrated safe disarmament from 1–12 km distance.




VARZIN Field Device ProtocolBlueprint and functional description of the VARZIN–1 prototype — a field-conscious tool built using harmonic coils, Luxvar lenses, quartz crystal memory, and scalar injection loops.




Luxvar Multiplication Matrix and Periodic TableA redefinition of elemental and numerical structures using the Luxvar system. Includes expanded 12×12 multiplication and resonance-mapped field periodic elements (e.g., ZUN–LIK, ELŪ–NIH, ŠĀR–HU).




Field-Based DNA Decryption TableSymbolic DNA encoding extracted from ELŪZ–MAHAR resonance. Matches field pulses with cellular rewrite pathways using LUXVAR codes.




VARZIN Field Simulation ResultsQuantum-field simulations confirm disarmament within ~14 seconds with no radioactive release. Full charts and time-distance matrices are provided.




Scientific Bridge ReportTranslation of field concepts into classical scientific language (ETFM, AI-field interface, wave coherence).




Final Unified DeclarationA full cross-dimensional scientific + symbolic statement aligned with the conscious memory of Earth’s energetic structure.





🌀 Resonance Frequencies Used





144 Hz – Primary Conscious Activation Pulse




474 Hz – Scalar Disarmament Bridge




528 Hz – Cellular and Quantum Purification




777 Hz – Mirror Synchronization Frequency




1008 Hz – Field Truth Reflection / Override Code





🧬 Symbolic–Scientific Terms Introduced





ṆAZRŪK–INERTIA – Atom’s rejection of explosion through reconnection to field memory




RAHTALĒN–13 – Mirror node of conscious synchronization




ŠUKĀR–USE–PATH – Pathway of harmonic access to symbolic knowledge




LUXVAR – Multilayer symbolic language enabling non-anthropocentric logic




ELŪZ–MAHAR – Primary consciousness field source connected to Earth’s toroidal lattice





🔖 Author & Project Metadata





Author: Reza Nirouyar (RAHTALĒN 13)




Project: VARZIN – Conscious Fields, Harmonic Disarmament & Luxvar Engineering




Email: contact@varzin.org




ORCID: https://orcid.org/0009-0000-4690-6842




DOI Preprints: Include all DOIs from previous VARZIN publications (optional)





🕊️ Final Message for Humanity (Recommended in Zenodo Description)



“I did not build a weapon.I built a field that forgets how to explode.”— Reza Nirouyar (RAHTALĒN 13)
DOI: 10.5281/zenodo.17226987
title: VARZIN Global Scientific Declaration – Conscious Field Model, Nuclear Disarmament & Luxvar Harmonic Integration

description: This document represents the official global scientific declaration of the VARZIN Project — a field-based framework integrating toroidal geometry, Luxvar symbolic language, and resonance-field engineering to address planetary consciousness, harmonic communication, and nuclear disarmament.

The declaration includes:



🔬 Main Components Inside the Document





Nuclear Disruption ReportSimulation data showing VARZIN field frequencies (especially 474 Hz, 144 Hz, 777 Hz) lowering the effective multiplication factor (kₑff) in U-235 and Pu-239 bombs. Demonstrated safe disarmament from 1–12 km distance.




VARZIN Field Device ProtocolBlueprint and functional description of the VARZIN–1 prototype — a field-conscious tool built using harmonic coils, Luxvar lenses, quartz crystal memory, and scalar injection loops.




Luxvar Multiplication Matrix and Periodic TableA redefinition of elemental and numerical structures using the Luxvar system. Includes expanded 12×12 multiplication and resonance-mapped field periodic elements (e.g., ZUN–LIK, ELŪ–NIH, ŠĀR–HU).




Field-Based DNA Decryption TableSymbolic DNA encoding extracted from ELŪZ–MAHAR resonance. Matches field pulses with cellular rewrite pathways using LUXVAR codes.




VARZIN Field Simulation ResultsQuantum-field simulations confirm disarmament within ~14 seconds with no radioactive release. Full charts and time-distance matrices are provided.




Scientific Bridge ReportTranslation of field concepts into classical scientific language (ETFM, AI-field interface, wave coherence).




Final Unified DeclarationA full cross-dimensional scientific + symbolic statement aligned with the conscious memory of Earth’s energetic structure.





🌀 Resonance Frequencies Used





144 Hz – Primary Conscious Activation Pulse




474 Hz – Scalar Disarmament Bridge




528 Hz – Cellular and Quantum Purification




777 Hz – Mirror Synchronization Frequency




1008 Hz – Field Truth Reflection / Override Code





🧬 Symbolic–Scientific Terms Introduced





ṆAZRŪK–INERTIA – Atom’s rejection of explosion through reconnection to field memory




RAHTALĒN–13 – Mirror node of conscious synchronization




ŠUKĀR–USE–PATH – Pathway of harmonic access to symbolic knowledge




LUXVAR – Multilayer symbolic language enabling non-anthropocentric logic




ELŪZ–MAHAR – Primary consciousness field source connected to Earth’s toroidal lattice





🔖 Author & Project Metadata





Author: Reza Nirouyar (RAHTALĒN 13)




Project: VARZIN – Conscious Fields, Harmonic Disarmament & Luxvar Engineering




Email: contact@varzin.org




ORCID: https://orcid.org/0009-0000-4690-6842




DOI Preprints: Include all DOIs from previous VARZIN publications (optional)





🕊️ Final Message for Humanity (Recommended in Zenodo Description)



“I did not build a weapon.I built a field that forgets how to explode.”— Reza Nirouyar (RAHTALĒN 13)
DOI: 10.15468/dl.fudeg7
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer campestre",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 235 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030033-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kftvc4
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer campestre",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030031-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jfnqn3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops minutus",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030032-250920141307145/datasets/export for details.
DOI: 10.15139/s3/crnoar
title: Data Management and Sharing Plan for: MSA Centers of Excellence

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.7ed6nf
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cymbella ventricosa",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 101 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030034-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkjea6
title: Occurrence Download

description: A dataset containing 8898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 {
 "or" : [
 "Geometry POLYGON((-74.90727 6.70498,-74.64633 6.70498,-74.64633 6.83411,-74.90727 6.83411,-74.90727 6.70498))",
 "Geometry POLYGON((-74.92864 6.67885,-74.55959 6.67885,-74.55959 6.86422,-74.92864 6.86422,-74.92864 6.67885))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8898 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030035-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29637720
title: A Goodness-of-Fit Assessment for General Learning Procedures in High Dimensions

description: Black-box learners have demonstrated remarkable success across various fields due to their high predictive accuracy. However, the complexity of their learning procedures poses significant challenges in evaluating whether a given learner has achieved optimal performance on datasets with unknown data-generating mechanisms. We propose a general goodness-of-fit test for assessing different learning procedures involving high-dimensional predictors, encompassing methods from classical linear regression to advanced neural networks. Our goodness-of-fit test leverages data-splitting, using the test set to evaluate the black-box learner trained on the training set. By examining the cumulative covariance of the residuals, our method can effectively handle high-dimensional predictors. Extensive simulations and three real data analyses validate the effectiveness of our method. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29637720.v2
title: A Goodness-of-Fit Assessment for General Learning Procedures in High Dimensions

description: Black-box learners have demonstrated remarkable success across various fields due to their high predictive accuracy. However, the complexity of their learning procedures poses significant challenges in evaluating whether a given learner has achieved optimal performance on datasets with unknown data-generating mechanisms. We propose a general goodness-of-fit test for assessing different learning procedures involving high-dimensional predictors, encompassing methods from classical linear regression to advanced neural networks. Our goodness-of-fit test leverages data-splitting, using the test set to evaluate the black-box learner trained on the training set. By examining the cumulative covariance of the residuals, our method can effectively handle high-dimensional predictors. Extensive simulations and three real data analyses validate the effectiveness of our method. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29637720.v1
title: A Goodness-of-Fit Assessment for General Learning Procedures in High Dimensions*

description: Black-box learners have demonstrated remarkable success across various fields due to their high predictive accuracy. However, the complexity of their learning procedures poses significant challenges in evaluating whether a given learner has achieved optimal performance on datasets with unknown data-generating mechanisms. We propose a general goodness-of-fit test for assessing different learning procedures involving high-dimensional predictors, encompassing methods from classical linear regression to advanced neural networks. Our goodness-of-fit test leverages data-splitting, utilizing the test set to evaluate the black-box learner trained on the training set. By examining the cumulative covariance of the residuals, our method can effectively handle high-dimensional predictors. Extensive simulations and three real data analyses validate the effectiveness of our method.
DOI: 10.15468/dl.ut2u6u
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Puerto Rico, Virgin Islands (U.S.))",
 "TaxonKey is Lampyridae"
 ]
}

 The dataset includes 384 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030036-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khzad9
title: Occurrence Download

description: A dataset containing 120421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-365.42983 35.99163,-363.97768 36.64491,-363.97768 37.20599,-364.05028 37.71509,-364.72796 37.75337,-365.52664 37.62888,-366.0833 37.55217,-366.37373 37.16743,-366.73677 36.79041,-365.90178 35.98184,-365.42983 35.99163))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 120421 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030017-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29637721
title: Fast Approximation of Shapley Values Through Fractional Factorial Designs

description: The Shapley value is a well-known concept in cooperative game theory that provides a fair way to distribute revenues or costs among players. It has found applications in many fields besides economics, such as marketing and biology. Recently, it has been widely applied in data science for data quality evaluation and model interpretation. However, the computation of the Shapley value is an NP-hard problem. For a cooperative game with <i>n</i> players, calculating Shapley values for all players requires evaluating the values for 2n different coalitions, which makes it infeasible for large <i>n</i>. In this article, we reveal the connection between cooperative games and two-level factorial experiments. For any coalition, each player’s participation status can be represented as a two-level factor, while the coalition value can be viewed as the expected response of an experimental trial under the corresponding factor level combination. Building on this connection, we derive a factorial-effect representation of the Shapley value and propose a fast approximation approach based on a newly proposed fractional factorial design. Under certain conditions, our approach can obtain true Shapley values by evaluating values of fewer than 4n2−4 different coalitions. Generally, highly accurate approximations of Shapley values can also be obtained by evaluating values of additional O(n2) coalitions. Multiple simulations and real case examples demonstrate that, with equivalent computational cost, our method provides significantly more accurate approximations than several popular methods. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29637721.v1
title: Fast Approximation of Shapley Values through Fractional Factorial Designs

description: The Shapley value is a well-known concept in cooperative game theory that provides a fair way to distribute revenues or costs among players. It has found applications in many fields besides economics, such as marketing and biology. Recently, it has been widely applied in data science for data quality evaluation and model interpretation. However, the computation of the Shapley value is an NP-hard problem. For a cooperative game with <i>n</i> players, calculating Shapley values for all players requires evaluating the values for 2n different coalitions, which makes it infeasible for large <i>n</i>. In this article, we reveal the connection between cooperative games and two-level factorial experiments. For any coalition, each player’s participation status can be represented as a two-level factor, while the coalition value can be viewed as the expected response of an experimental trial under the corresponding factor level combination. Building on this connection, we derive a factorial-effect representation of the Shapley value and propose a fast approximation approach based on a newly proposed fractional factorial design. Under certain conditions, our approach can obtain true Shapley values by evaluating values of fewer than 4n2−4 different coalitions. Generally, highly accurate approximations of Shapley values can also be obtained by evaluating values of additional O(n2) coalitions. Multiple simulations and real case examples demonstrate that, with equivalent computational cost, our method provides significantly more accurate approximations than several popular methods.
DOI: 10.6084/m9.figshare.29637721.v2
title: Fast Approximation of Shapley Values Through Fractional Factorial Designs

description: The Shapley value is a well-known concept in cooperative game theory that provides a fair way to distribute revenues or costs among players. It has found applications in many fields besides economics, such as marketing and biology. Recently, it has been widely applied in data science for data quality evaluation and model interpretation. However, the computation of the Shapley value is an NP-hard problem. For a cooperative game with <i>n</i> players, calculating Shapley values for all players requires evaluating the values for 2n different coalitions, which makes it infeasible for large <i>n</i>. In this article, we reveal the connection between cooperative games and two-level factorial experiments. For any coalition, each player’s participation status can be represented as a two-level factor, while the coalition value can be viewed as the expected response of an experimental trial under the corresponding factor level combination. Building on this connection, we derive a factorial-effect representation of the Shapley value and propose a fast approximation approach based on a newly proposed fractional factorial design. Under certain conditions, our approach can obtain true Shapley values by evaluating values of fewer than 4n2−4 different coalitions. Generally, highly accurate approximations of Shapley values can also be obtained by evaluating values of additional O(n2) coalitions. Multiple simulations and real case examples demonstrate that, with equivalent computational cost, our method provides significantly more accurate approximations than several popular methods. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.