cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18293141
title: Panicum stigmosum Trin. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.5281/zenodo.18293142
title: Panicum stigmosum Trin. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.15468/dl.9p2t54
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peltodytes sinensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 511 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018598-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14540849
title: ESG_Data_Emerging
DOI: 10.5281/zenodo.17821199
title: Normalized spacial scores of COCONUT compounds

description: This dataset provides a quantitative correlation between molecular structural complexity (nSPS) and the complete COCONUT (Collection of Open Natural Products) database. For each natural product entry, the size-normalized spacial score (nSPS) was calculated using RDKit, and the resulting values were merged with NPClassifier. Each natural product entry was further annotated with its corresponding pathway IDs found in the Kyoto Encyclopedia of Genes and Genomes (KEGG). COCONUT database was accessed 1 December 2025, KEGG database was accessed 18 January 2026.
DOI: 10.5281/zenodo.18292369
title: Normalized spacial scores of COCONUT compounds

description: This dataset provides a quantitative correlation between molecular structural complexity (nSPS) and the complete COCONUT (Collection of Open Natural Products) database. For each natural product entry, the size-normalized spacial score (nSPS) was calculated using RDKit, and the resulting values were merged with NPClassifier. Each natural product entry was further annotated with its corresponding pathway IDs found in the Kyoto Encyclopedia of Genes and Genomes (KEGG). COCONUT database was accessed 1 December 2025, KEGG database was accessed 18 January 2026.
DOI: 10.5281/zenodo.18293143
title: Panicum trichanthum Nees. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.5281/zenodo.18293144
title: Panicum trichanthum Nees. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.15468/dl.bajb9s
title: Occurrence Download

description: A dataset containing 759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Bactris gasipaes"
 ]
}

 The dataset includes 759 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018599-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g955wc
title: Occurrence Download

description: A dataset containing 13856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Morone saxatilis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13856 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018600-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18293145
title: Panicum tricholaenoides  Steud. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.5281/zenodo.18293146
title: Panicum tricholaenoides  Steud. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.15468/dl.zwzaun
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((0.0096134707141975 0.0005694877685418, 0.0093185120303085 0.002446733887911, 0.0086654126944145 0.0042300173205134, 0.0076792498498367 0.0058507893596041, 0.0063979085788399 0.0072467397707531, 0.0048706279205516 0.0083641951262949, 0.0031561089766621 0.0091601856835165, 0.001320257757985 0.0096041007327099, -0.0005663502888094 0.0096788681843396, -0.0024311862198083 0.0093816125716504, -0.0042025590523907 0.0087237658876014, -0.0058123748276952 0.0077306269459115, -0.0071987566355348 0.0064403863998038, -0.0083084244263429 0.004902655307407, -0.0090987428635294 0.0031765543675567, -0.0095393584685547 0.0013284379011931, -0.0096133633436728 -0.0005706593395908, -0.0093179411695346 -0.0024477539255279, -0.0086644712256287 -0.004230718794067, -0.0076780870769866 -0.0058510537369681, -0.0063967074974129 -0.0072465150637399, -0.0048695773581703 -0.0083635038053582, -0.0031553748457941 -0.0091591212568791, -0.0013199577972676 -0.009602813510528, 0.0005661644392116 -0.0096775423953853, 0.0024305368799477 -0.0093804383161681, 0.0042015391045166 -0.0087229101961815, 0.0058111335757672 -0.00773020835067, 0.0071974770750442 -0.006440456888947, 0.0083072953849114 -0.0049031924104755, 0.0090979302536128 -0.0031774645763106, 0.0095389800287792 -0.0013295709054834, 0.0096134707141975 0.0005694877685418))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018601-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18293149
title: Panicum unispicatum Scribn. & Merr. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.5281/zenodo.18293150
title: Panicum unispicatum Scribn. & Merr. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:51
DOI: 10.15468/dl.vwweh5
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((0.0096134707141975 0.0005694877685418, 0.0093185120303085 0.002446733887911, 0.0086654126944145 0.0042300173205134, 0.0076792498498367 0.0058507893596041, 0.0063979085788399 0.0072467397707531, 0.0048706279205516 0.0083641951262949, 0.0031561089766621 0.0091601856835165, 0.001320257757985 0.0096041007327099, -0.0005663502888094 0.0096788681843396, -0.0024311862198083 0.0093816125716504, -0.0042025590523907 0.0087237658876014, -0.0058123748276952 0.0077306269459115, -0.0071987566355348 0.0064403863998038, -0.0083084244263429 0.004902655307407, -0.0090987428635294 0.0031765543675567, -0.0095393584685547 0.0013284379011931, -0.0096133633436728 -0.0005706593395908, -0.0093179411695346 -0.0024477539255279, -0.0086644712256287 -0.004230718794067, -0.0076780870769866 -0.0058510537369681, -0.0063967074974129 -0.0072465150637399, -0.0048695773581703 -0.0083635038053582, -0.0031553748457941 -0.0091591212568791, -0.0013199577972676 -0.009602813510528, 0.0005661644392116 -0.0096775423953853, 0.0024305368799477 -0.0093804383161681, 0.0042015391045166 -0.0087229101961815, 0.0058111335757672 -0.00773020835067, 0.0071974770750442 -0.006440456888947, 0.0083072953849114 -0.0049031924104755, 0.0090979302536128 -0.0031774645763106, 0.0095389800287792 -0.0013295709054834, 0.0096134707141975 0.0005694877685418))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018602-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfb3cg
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((17.325544109081992 54.533430216375, 17.325889672741894 54.53605758772198, 17.325347126446708 54.53867366868694, 17.323937164728235 54.54117791438817, 17.321713842730322 54.543474062309826, 17.318762518542478 54.545473835535425, 17.31519658558534 54.547100340849745, 17.31115311868684 54.548291030257964, 17.306787600594454 54.54900011111465, 17.30226793245726 54.54920031125974, 17.297767960645583 54.54888393051276, 17.29346077184614 54.54806313759242, 17.289512017773294 54.54676950089718, 17.28607352963425 54.545052771420565, 17.28327747073413 54.54297896517198, 17.28123125385285 54.54062781965991, 17.280013419268897 54.53808972318324, 17.2796706309396 54.5354622359174, 17.280215904066733 54.53284633730076, 17.28162812898318 54.53034254445412, 17.28385290599374 54.52804705095043, 17.286804655496354 54.526048034076844, 17.290369919319968 54.524422271901, 17.29441172450606 54.5232321992815, 17.298774841287766 54.52252351496333, 17.303291734093847 54.52232343073712, 17.3077889790731 54.52263962913576, 17.312093904674413 54.52345996920141, 17.316041203734848 54.52475295147867, 17.319479266559643 54.52646892460319, 17.322275994593753 54.52854198771338, 17.324323873187588 54.53089251643677, 17.325544109081992 54.533430216375))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018603-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whkdvf
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agraphydrus narusei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018604-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckvn5k
title: Occurrence Download

description: A dataset containing 72324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix pentandra",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 72324 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018556-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jwy9p
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mysis diluviana",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 62 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018605-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxp8rs
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((17.320688058951262 54.523352047665234, 17.3210332465391 54.52597947054505, 17.320490532652684 54.52859556912148, 17.319080618341623 54.53109979783133, 17.316857557000464 54.53339589480922, 17.313906696758405 54.53539558509645, 17.310341413238906 54.5370219786676, 17.306298756314934 54.53821253182697, 17.301934177579806 54.5389214571712, 17.29741554203062 54.53912148852318, 17.292916656285286 54.53880493219529, 17.28861056521613 54.537983963658334, 17.284662878279818 54.53669015806216, 17.28122538561756 54.53497327289101, 17.278430212247017 54.5328993301349, 17.276384736915237 54.530548072543496, 17.275167471430763 54.528009892716625, 17.27482505793382 54.525382354026064, 17.275370497292197 54.522766437880385, 17.27678267352795 54.52026266206928, 17.279007188889064 54.51796721950847, 17.281958473884913 54.51596828552757, 17.28552308822703 54.5143426350112, 17.28956408391852 54.51315269853177, 17.293926262273636 54.5124441696086, 17.298442123731395 54.512244254067326, 17.302938284004316 54.51256062796446, 17.307242113148614 54.513381143602594, 17.311188346065226 54.51467429478166, 17.31462541397418 54.51639042364647, 17.317421256522593 54.518463623347806, 17.31946839308702 54.520814264259386, 17.320688058951262 54.523352047665234))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018607-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfwnn6
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((0.0096134707141975 0.0005694877685418, 0.0093185120303085 0.002446733887911, 0.0086654126944145 0.0042300173205134, 0.0076792498498367 0.0058507893596041, 0.0063979085788399 0.0072467397707531, 0.0048706279205516 0.0083641951262949, 0.0031561089766621 0.0091601856835165, 0.001320257757985 0.0096041007327099, -0.0005663502888094 0.0096788681843396, -0.0024311862198083 0.0093816125716504, -0.0042025590523907 0.0087237658876014, -0.0058123748276952 0.0077306269459115, -0.0071987566355348 0.0064403863998038, -0.0083084244263429 0.004902655307407, -0.0090987428635294 0.0031765543675567, -0.0095393584685547 0.0013284379011931, -0.0096133633436728 -0.0005706593395908, -0.0093179411695346 -0.0024477539255279, -0.0086644712256287 -0.004230718794067, -0.0076780870769866 -0.0058510537369681, -0.0063967074974129 -0.0072465150637399, -0.0048695773581703 -0.0083635038053582, -0.0031553748457941 -0.0091591212568791, -0.0013199577972676 -0.009602813510528, 0.0005661644392116 -0.0096775423953853, 0.0024305368799477 -0.0093804383161681, 0.0042015391045166 -0.0087229101961815, 0.0058111335757672 -0.00773020835067, 0.0071974770750442 -0.006440456888947, 0.0083072953849114 -0.0049031924104755, 0.0090979302536128 -0.0031774645763106, 0.0095389800287792 -0.0013295709054834, 0.0096134707141975 0.0005694877685418))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018606-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nywttv
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((0.0096134707141975 0.0005694877685418, 0.0093185120303085 0.002446733887911, 0.0086654126944145 0.0042300173205134, 0.0076792498498367 0.0058507893596041, 0.0063979085788399 0.0072467397707531, 0.0048706279205516 0.0083641951262949, 0.0031561089766621 0.0091601856835165, 0.001320257757985 0.0096041007327099, -0.0005663502888094 0.0096788681843396, -0.0024311862198083 0.0093816125716504, -0.0042025590523907 0.0087237658876014, -0.0058123748276952 0.0077306269459115, -0.0071987566355348 0.0064403863998038, -0.0083084244263429 0.004902655307407, -0.0090987428635294 0.0031765543675567, -0.0095393584685547 0.0013284379011931, -0.0096133633436728 -0.0005706593395908, -0.0093179411695346 -0.0024477539255279, -0.0086644712256287 -0.004230718794067, -0.0076780870769866 -0.0058510537369681, -0.0063967074974129 -0.0072465150637399, -0.0048695773581703 -0.0083635038053582, -0.0031553748457941 -0.0091591212568791, -0.0013199577972676 -0.009602813510528, 0.0005661644392116 -0.0096775423953853, 0.0024305368799477 -0.0093804383161681, 0.0042015391045166 -0.0087229101961815, 0.0058111335757672 -0.00773020835067, 0.0071974770750442 -0.006440456888947, 0.0083072953849114 -0.0049031924104755, 0.0090979302536128 -0.0031774645763106, 0.0095389800287792 -0.0013295709054834, 0.0096134707141975 0.0005694877685418))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018608-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18291469
title: The De Giuseppe Predictive Reality Model: Explanation

description: REAL GROUNDBREAKING!!

First Mathematically Predictive Model

Complete work here: https://zenodo.org/records/18292756

 

 

This manuscript is current in OFFICIAL Peer Review.

Not final version.Copyright©2026 Alex De Giuseppe.All rights reserved.

This work is protected by copyright. Any form of plagiarism, unauthorized reproduction, or misappropriation of ideas, mathematically results, or text without proper citation constitutes a violation of academic and intellectual property standards and common laws.

No commercial use, adaptation, or derivative works are permitted without explicit written permission from the author.

For correspondence, citations, collaboration inquiries, or feedback please contact:degiuseppealex@gmail.com

 

Abstract:

In this work, we present the De Giuseppe Predictive Model, a mathematically rigorous framework integrating Nima’s proto-structure ((\Delta C \leftrightarrow \Delta M \leftrightarrow \Delta L)) with frame-constrained energy and electrical flow to enable precise predictions of both physical events and cognitive evolution. By mapping structural constraints to physically realizable outcomes, the model formalizes a set of predictive functions that restrict possible trajectories, making certain events inevitable given initial conditions.

In classical physics, this allows the exact prediction of outcomes such as free-fall trajectories or energy-constrained motions, demonstrating that the flow of reality is constrained by proto-structural attractors rather than chance. In cognitive systems, consciousness is treated as an informational flow encoded in electrical currents and energy configurations. The model provides a unique mapping from these configurations to emergent firing patterns, making the evolution of conscious states predictable without violating quantum or No-Cloning constraints.

This framework reveals that reality—both physical and informational—is mathematically constrained by universal structural attractors. Events are not arbitrary but follow deterministic paths defined by the proto-structure, allowing the possibility of predicting when and how phenomena will occur. It represents a groundbreaking unification of physical law, consciousness, and predictive modeling, extending the De Giuseppe Paradox series and providing the first explicit methodology to systematically forecast events in both matter and mind.
DOI: 10.5281/zenodo.18291470
title: The De Giuseppe Predictive Reality Model: Explanation

description: REAL GROUNDBREAKING!!

First Mathematically Predictive Model

Complete work here: https://zenodo.org/records/18292756

 

 

This manuscript is current in OFFICIAL Peer Review.

Not final version.Copyright©2026 Alex De Giuseppe.All rights reserved.

This work is protected by copyright. Any form of plagiarism, unauthorized reproduction, or misappropriation of ideas, mathematically results, or text without proper citation constitutes a violation of academic and intellectual property standards and common laws.

No commercial use, adaptation, or derivative works are permitted without explicit written permission from the author.

For correspondence, citations, collaboration inquiries, or feedback please contact:degiuseppealex@gmail.com

 

Abstract:

In this work, we present the De Giuseppe Predictive Model, a mathematically rigorous framework integrating Nima’s proto-structure ((\Delta C \leftrightarrow \Delta M \leftrightarrow \Delta L)) with frame-constrained energy and electrical flow to enable precise predictions of both physical events and cognitive evolution. By mapping structural constraints to physically realizable outcomes, the model formalizes a set of predictive functions that restrict possible trajectories, making certain events inevitable given initial conditions.

In classical physics, this allows the exact prediction of outcomes such as free-fall trajectories or energy-constrained motions, demonstrating that the flow of reality is constrained by proto-structural attractors rather than chance. In cognitive systems, consciousness is treated as an informational flow encoded in electrical currents and energy configurations. The model provides a unique mapping from these configurations to emergent firing patterns, making the evolution of conscious states predictable without violating quantum or No-Cloning constraints.

This framework reveals that reality—both physical and informational—is mathematically constrained by universal structural attractors. Events are not arbitrary but follow deterministic paths defined by the proto-structure, allowing the possibility of predicting when and how phenomena will occur. It represents a groundbreaking unification of physical law, consciousness, and predictive modeling, extending the De Giuseppe Paradox series and providing the first explicit methodology to systematically forecast events in both matter and mind.
DOI: 10.15468/dl.jbrpd3
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ametor scabrosus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 373 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018609-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.