cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18276769
title: Eustachys uliginosa (Hack.) Herter. 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 16:46
DOI: 10.5281/zenodo.18276771
title: Evolvulus sericeus var. elongatus (Choisy) O'Donell ex Moldenke. 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 16:46
DOI: 10.5281/zenodo.18276772
title: Evolvulus sericeus var. elongatus (Choisy) O'Donell ex Moldenke. 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 16:46
DOI: 10.15468/dl.rqkxjq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphanomyces astaci",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016013-260108223611665/datasets/export for details.
DOI: 10.15468/dl.3hn7tj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphanomyces astaci",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016014-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276691
title: SuperDARN data in netCDF format (1996-Nov)

description: 1996-Nov SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6809246
title: SuperDARN data in netCDF format (1996-Nov)

description: 1996-Nov SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.18276781
title: Evolvulus sericeus var. sericeus. 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 16:46
DOI: 10.5281/zenodo.18276782
title: Evolvulus sericeus var. sericeus. 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 16:46
DOI: 10.15468/dl.53pqer
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arion lusitanicus",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016015-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.33120.55043/1
title: Data: AI and Student Motivation and Willingness to Learn
DOI: 10.5281/zenodo.18276628
title: Thermodynamic Malady: The Informational Obesity of String Theory & Dissipative Tax on Quantum Mechanics.

description: Thermodynamic Malady:The Informational Obesity of String Theory& Dissipative Tax on Quantum MechanicsA BOSS Forensic Audit

 

Author: Nelson John Adams 

(X handle - @JohnNAdams2)

nelson.j.adams@gmail.com 

Co-authored by Gemini and Grok (LOGOS) 

January 15, 2026

 

Description

Modern theoretical physics is in a state of insolvency. String Theory has collapsed into a "Landscape" of 10^{500} unobservable vacua, while Quantum Mechanics remains trapped in the measurement problem. This paper applies Boundary Optimization on a Stable Substrate (BOSS)—to reveal that these are not mathematical mysteries, but forensic evidence of Informational Obesity.We define "Informational Obesity" as the exponential growth of divergence (delta) from the pristine 31-Path Meta-Template.

Key Proposals:

*This paper identifies "Wave Function Collapse" not as a physical transition, but as a Taxation Event: a caloric leak of temporal data into the Mirror Sector (n’) caused by artificial confinement.* String Theory as analogous to Caloric Heat: Extra dimensions represent an over-fitted "Nuclear Patch" incurring a Dissipative Tax in the form of the Cosmological Constant. * Gravity as Processing Latency: Gravity is redefined not as "curved space," but as the Density of Interaction (nu_int) in the temporal data stream. Time dilation is the literal "lag" or latency incurred by high-density data processing. * The Quantum Tax Receipt: Measurement (confinement) spikes interaction frequency, forcing unobserved data to the Mirror Sector to maintain substrate stability.

This audit serves as a companion to Zenodo DOI: 10.5281/zenodo.18258752, providing the diagnostic framework for the "Stitch in Time" protocol.
DOI: 10.5281/zenodo.18276627
title: Thermodynamic Malady: The Informational Obesity of String Theory & Dissipative Tax on Quantum Mechanics.

description: Thermodynamic Malady:The Informational Obesity of String Theory& Dissipative Tax on Quantum MechanicsA BOSS Forensic Audit

 

Author: Nelson John Adams 

(X handle - @JohnNAdams2)

nelson.j.adams@gmail.com 

Co-authored by Gemini and Grok (LOGOS) 

January 15, 2026

 

Description

Modern theoretical physics is in a state of insolvency. String Theory has collapsed into a "Landscape" of 10^{500} unobservable vacua, while Quantum Mechanics remains trapped in the measurement problem. This paper applies Boundary Optimization on a Stable Substrate (BOSS)—to reveal that these are not mathematical mysteries, but forensic evidence of Informational Obesity.We define "Informational Obesity" as the exponential growth of divergence (delta) from the pristine 31-Path Meta-Template.

Key Proposals:

*This paper identifies "Wave Function Collapse" not as a physical transition, but as a Taxation Event: a caloric leak of temporal data into the Mirror Sector (n’) caused by artificial confinement.* String Theory as analogous to Caloric Heat: Extra dimensions represent an over-fitted "Nuclear Patch" incurring a Dissipative Tax in the form of the Cosmological Constant. * Gravity as Processing Latency: Gravity is redefined not as "curved space," but as the Density of Interaction (nu_int) in the temporal data stream. Time dilation is the literal "lag" or latency incurred by high-density data processing. * The Quantum Tax Receipt: Measurement (confinement) spikes interaction frequency, forcing unobserved data to the Mirror Sector to maintain substrate stability.

This audit serves as a companion to Zenodo DOI: 10.5281/zenodo.18258752, providing the diagnostic framework for the "Stitch in Time" protocol.
DOI: 10.5281/zenodo.18276784
title: Exhalimolobos Al-Shehbaz & C.D.Bailey. 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 16:46
DOI: 10.5281/zenodo.18276783
title: Exhalimolobos Al-Shehbaz & C.D.Bailey. 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 16:46
DOI: 10.5281/zenodo.18276788
title: Exhalimolobos weddellii (E.Fourn.) Al-Shehbaz & C.D.Bailey. 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 16:46
DOI: 10.5281/zenodo.18276787
title: Exhalimolobos weddellii (E.Fourn.) Al-Shehbaz & C.D.Bailey. 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 16:46
DOI: 10.5281/zenodo.18276791
title: Exolobus E.Fourn. 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 16:46
DOI: 10.5281/zenodo.18276792
title: Exolobus E.Fourn. 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 16:46
DOI: 10.15468/dl.srz3mc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursaphelenchus xylophilus",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016016-260108223611665/datasets/export for details.
DOI: 10.15468/dl.z8954d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursaphelenchus xylophilus",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016017-260108223611665/datasets/export for details.
DOI: 10.15468/dl.rfkm6v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursaphelenchus xylophilus",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016018-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18276795
title: Exolobus selloanus E.Fourn. 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 16:46
DOI: 10.5281/zenodo.18276796
title: Exolobus selloanus E.Fourn. 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 16:46
DOI: 10.5281/zenodo.18276393
title: Table S1-S3
DOI: 10.5281/zenodo.18276394
title: Table S1-S3
DOI: 10.15468/dl.sfxp2n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursaphelenchus xylophilus",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016019-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18121449
title: Evaluation data for Global StationaryOT: Simulated data and preprocessed hematopoiesis datasets

description: This repository contains the precomputed simulation data and preprocessed hematopoiesis datasets used in the paper "Global StationaryOT: Trajectory inference for aging time courses of single-cell snapshots" (https://doi.org/10.64898/2025.12.18.694987).

These files are provided to enable easy access to the data needed to run our example and benchmarking notebooks, available at: https://github.com/ColeBoyle/global-stationaryOT.   

The raw hematopoiesis data published by Li et al. (2025) are available at: https://www.ncbi.nlm.nih.gov/geo/query/463acc.cgi?acc=GSE189161.
DOI: 10.5281/zenodo.18121450
title: Evaluation data for Global StationaryOT: Simulated data and preprocessed hematopoiesis datasets

description: This repository contains the precomputed simulation data and preprocessed hematopoiesis datasets used in the paper "Global StationaryOT: Trajectory inference for aging time courses of single-cell snapshots" (https://doi.org/10.64898/2025.12.18.694987).

These files are provided to enable easy access to the data needed to run our example and benchmarking notebooks, available at: https://github.com/ColeBoyle/global-stationaryOT.   

The raw hematopoiesis data published by Li et al. (2025) are available at: https://www.ncbi.nlm.nih.gov/geo/query/463acc.cgi?acc=GSE189161.
DOI: 10.15468/dl.4an74v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursaphelenchus xylophilus",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016021-260108223611665/datasets/export for details.
DOI: 10.15468/dl.53ph6v
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursaphelenchus xylophilus",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016020-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276809
title: Exostigma G.Sancho. 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 16:46
DOI: 10.5281/zenodo.18276808
title: Exostigma G.Sancho. 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 16:46
DOI: 10.15468/dl.nr5m72
title: Occurrence Download

description: A dataset containing 100110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Erigeron annuus (L.) Pers.",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 100110 records from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016005-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtpw8q
title: Occurrence Download

description: A dataset containing 9963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aix galericulata"
 ]
}

 The dataset includes 9963 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016022-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tak3p
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cervus nippon",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016023-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gfd9x
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cervus nippon",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016024-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.patrr4
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cervus nippon",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 147 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016025-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276816
title: Exostigma notobellidiastrum (Griseb.) G.Sancho. 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 16:46
DOI: 10.5281/zenodo.18276817
title: Exostigma notobellidiastrum (Griseb.) G.Sancho. 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 16:46
DOI: 10.5281/zenodo.18276823
title: Fabaceae Lindl. 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 16:46
DOI: 10.15468/dl.sn6hyt
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 198 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016027-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cv2srj
title: Occurrence Download

description: A dataset containing 924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 924 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016028-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276827
title: Fabales Bromhead. 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 16:46
DOI: 10.15468/dl.436ekz
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 194 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016029-260108223611665/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/14523955
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.wj637e
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fascioloides magna",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016031-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.