cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29223944.v1
title: Data Base Cribado Paper Greenwashing ROSES

description: <b>Revisión Sistemática ROSES del</b><b> </b><b><i>Greenwashing</i></b><b> </b><b>en Marcos ODS y ESG para el Desarrollo de Políticas Públicas Transformadoras</b>Matriz colaborativa con registros auditables (estrategia metodologica)
DOI: 10.6084/m9.figshare.29223944.v2
title: Data Base Cribado Paper Greenwashing ROSES

description: <b>Revisión Sistemática ROSES del</b><b> </b><b><i>Greenwashing</i></b><b> </b><b>en Marcos ODS y ESG para el Desarrollo de Políticas Públicas Transformadoras</b>Matriz colaborativa con registros auditables (estrategia metodologica)
DOI: 10.6084/m9.figshare.29321642
title: Xenodevriesia chaenothecicola, phylogenetic dataset & table of sequences

description: Alignment & table of sequences.
DOI: 10.6084/m9.figshare.29321642.v1
title: Xenodevriesia chaenothecicola, phylogenetic dataset & table of sequences

description: Alignment & table of sequences.
DOI: 10.15468/dl.25tmee
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeschynomene indica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046695-250525065834625/datasets/export for details.
DOI: 10.15468/dl.j6uqjx
title: Occurrence Download

description: A dataset containing 24096 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus americanus Erxleben, 1777"
 ]
}

 The dataset includes 24096 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046696-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5nrwy
title: Occurrence Download

description: A dataset containing 2240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachylagus idahoensis (Merriam, 1891)"
 ]
}

 The dataset includes 2240 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046697-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8zeex
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeschynomene indica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046698-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gaq9t8
title: Occurrence Download

description: A dataset containing 15854 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ochotona princeps (Richardson, 1828)"
 ]
}

 The dataset includes 15854 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046699-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgrmvp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeschynomene indica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046700-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29321645
title: Data for the manuscript: Deep-Learning Atomistic Pseudopotential Model for Nanomaterials

description: The semi-empirical pseudopotential method (SEPM) has been widely applied to provide computational insights into the electronic structure, photophysics, and charge carrier dynamics of nanoscale materials. We present ``DeepPseudopot'', a machine-learned atomistic pseudopotential model that extends the SEPM framework by combining a flexible neural network representation of the local pseudopotential with parameterized non-local and spin-orbit coupling terms. Trained on bulk quasiparticle band structures and deformation potentials from GW calculations, the model captures many-body and relativistic effects with very high accuracy across diverse semiconducting materials, as illustrated for silicon and group III-V semiconductors. DeepPseudopot's accuracy, efficiency, and transferability make it well-suited for data-driven in silico design and discovery of novel optoelectronic nanomaterials.
DOI: 10.6084/m9.figshare.29321645.v1
title: Data for the manuscript: Deep-Learning Atomistic Pseudopotential Model for Nanomaterials

description: The semi-empirical pseudopotential method (SEPM) has been widely applied to provide computational insights into the electronic structure, photophysics, and charge carrier dynamics of nanoscale materials. We present ``DeepPseudopot'', a machine-learned atomistic pseudopotential model that extends the SEPM framework by combining a flexible neural network representation of the local pseudopotential with parameterized non-local and spin-orbit coupling terms. Trained on bulk quasiparticle band structures and deformation potentials from GW calculations, the model captures many-body and relativistic effects with very high accuracy across diverse semiconducting materials, as illustrated for silicon and group III-V semiconductors. DeepPseudopot's accuracy, efficiency, and transferability make it well-suited for data-driven in silico design and discovery of novel optoelectronic nanomaterials.
DOI: 10.5281/zenodo.15665295
title: 521_acehnese_interior_robinson_crusoe.docx
DOI: 10.5281/zenodo.15665296
title: 521_acehnese_interior_robinson_crusoe.docx
DOI: 10.15468/dl.pea3kx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeschynomene indica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046701-250525065834625/datasets/export for details.
DOI: 10.25573/data.29321606
title: Metadata and phyloseq objects

description: Phyllosphere microbial communities influence the growth and productivity of plant species, particularly in epiphytic plants which are disconnected from nutrients available in the soil. We characterized the phyllosphere of 30 individuals of the epiphytic cycad, <i>Zamia pseudoparasitica, </i>collected from three locations and during the dry and rainy seasons in the Republic of Panama. We used DNA metabarcoding to describe the total bacteria community with 16S rRNA gene and the diazotrophic community with <i>nif</i>H gene. Common taxa included members of the Rhizobiales, Frankiales, Pseudonocardiales, Acetobacteriales, and the diazotrophic community was dominated by Cyanobacateria. We observed no differences in alpha diversity across sites and seasons, but community composition showed some variation across sampling locations and seasons for both the 16S rRNA and <i>nif</i>H markers. These differences were driven more by species turnover rather than loss of species across sites, suggesting structural stability with compositional flexibility in these communities. This suggests a strong host control of these phyllosphere communities.
DOI: 10.25573/data.29321606.v1
title: Metadata and phyloseq objects

description: Phyllosphere microbial communities influence the growth and productivity of plant species, particularly in epiphytic plants which are disconnected from nutrients available in the soil. We characterized the phyllosphere of 30 individuals of the epiphytic cycad, <i>Zamia pseudoparasitica, </i>collected from three locations and during the dry and rainy seasons in the Republic of Panama. We used DNA metabarcoding to describe the total bacteria community with 16S rRNA gene and the diazotrophic community with <i>nif</i>H gene. Common taxa included members of the Rhizobiales, Frankiales, Pseudonocardiales, Acetobacteriales, and the diazotrophic community was dominated by Cyanobacateria. We observed no differences in alpha diversity across sites and seasons, but community composition showed some variation across sampling locations and seasons for both the 16S rRNA and <i>nif</i>H markers. These differences were driven more by species turnover rather than loss of species across sites, suggesting structural stability with compositional flexibility in these communities. This suggests a strong host control of these phyllosphere communities.
DOI: 10.5281/zenodo.15650918
title: The Relative Framework
title: The Knowledge Acquisition Paradox
title: Exploring Time Dimensions in the Knowledge Acquisition Paradox
title: Dimensional Constraints and Observer Limitations
title: The Cognitive Compression Framework: A Hierarchy of Concise Self-Awareness
title: The Entanglement Model of Emergent Experience
title: The Relativity of Life's Meaning: A Multifaceted Approach
title: Temporal Entanglement: The Clock as a Distorting Lens of Consciousness
title: The Illusion of Choice Vol 1 Paper 1
title: Responsibility Reconsidered Within The Illusion Of Choice Vol 1 Paper 2.pdf
title: Emotional Protocols and Reactive Structures The Bridge Between Illusion and Morality Vol 1 Paper 3 .pdf
title: Morality and Responsibility as Emergent Narrative In The Illusion Of Choice Vol 1 Paper 4.pdf
title: Addendum Reconciling Determinism and Meaning in The Relative Framework

description: The Relative Framework

The Relative Framework is my life's work. 20 years of philosophical questioning and understanding. It is a unified philosophical system that explores the structural limits of knowledge, the emergence of self-awareness, and the entangled nature of meaning and perception. Beginning with the Knowledge Acquisition Paradox and culminating in a theory of existential relativity. Together, they form a recursive model of epistemology, cognition, and ontology grounded in limitation, emergence, and systemic interaction. The framework does not seek to finalize answers, but to clarify the boundaries through which understanding unfolds.

 

Each paper within the series is labelled as “Vol. 1” to reflect their shared grounding in a single conceptual architecture. These are not separate volumes, but distinct lines of inquiry within the same philosophical body. Where extensions are made (e.g., continuations), they are marked as “Paper 1,” “Paper 2,” etc., under the same unified volume.

 

*"The illusion of freedom is not a lie we tell ourselves, It’s the cognitive condition that allows deterministic systems to orient, reflect, and endure"*

 

*Dean Tyldesley*
DOI: 10.15468/dl.by8x37
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeschynomene indica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046702-250525065834625/datasets/export for details.
DOI: 10.15468/dl.mfmqmh
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythranthe parishii (Greene) G.L.Nesom & N.S.Fraga"
 ]
}

 The dataset includes 353 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046703-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spvukb
title: Occurrence Download

description: A dataset containing 727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Africa",
 "Country is Angola",
 "OccurrenceStatus is Present",
 "TaxonKey is Polygala L."
 ]
}

 The dataset includes 727 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046704-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15663882
title: Miocene African topography induces decoupling of Somali Jet and South Asian summer monsoon rainfall

description: Source data underlying the main figures.
DOI: 10.5281/zenodo.15663883
title: Miocene African topography induces decoupling of Somali Jet and South Asian summer monsoon rainfall

description: Source data underlying the main figures.
DOI: 10.15468/dl.bvt4g5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeschynomene indica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046706-250525065834625/datasets/export for details.
DOI: 10.15468/dl.u5bgbn
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Anfibios de la transición Andino-Amazónica del departamento del Caquetá - Proyecto Colombia BIO"
 ]
}

 The dataset includes 523 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046705-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00011478
title: Data Challenge: Comparative Analysis of Antimicrobial Resistance Trends

description: Comparative Analysis of Antimicrobial Resistance Trends in GEARS Isolates Across Regions, Infection Types, and Clinical Units 

Antimicrobial resistance (AMR) is a current and expanding crisis resulting in individuals (from infancy to old age) being at significant risk of getting infections resistant to antibiotics, and the possibility of effective treatments steadily dwindling. The efficacy and management of diseases are all at risk by the global spread of resistant pathogens. Yet, AMR often remains hidden in plain sight as many stakeholders remain unaware. There has been report of gram-negative organisms becoming increasingly resistant and community infections being attributed to AMR. However, there is still limited understanding of how resistance varies over time across regions, source of infection, organisms and clinical units. Having adequate information about the trends in resistance and understanding the variations in these trends  can help in monitoring the prevalence of AMR, facilitate emergency preparedness, and guide risk assessment.
This study therefore aims to conduct a comparative analysis of AMR across multiple variables—region, clinical site, infection source (community- vs hospital-acquired), and selected bacterial species of interest from the GEARS dataset.

Research Objectives
•	To compare resistance rates across different clinical units.
•	To ascertain whether community-acquired or hospital-acquired infections exhibit higher resistance rates.
•	To compare resistance rates across selected bacterial organisms.
•	To examine variations in resistance experienced at the national and regional levels and infer potential contributing factors.
•	To identify the regions and clinical unit with the highest burden of resistance.
•	To build a model that can be used for predictive analysis on AMR

Expected outcomes
Through comparing highlighted variables, we aim to provide insights into AMR trends and highlights regions and units with high burden of resistance. These insights have the potential to inform regional policies, strengthen antimicrobial stewardship, and raise awareness among health professionals and the public.
DOI: 10.15468/dl.9fujq5
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tropidodipsas sartorii Cope, 1863",
 "Year 1960-2025"
 ]
}

 The dataset includes 338 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046707-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2g284
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeschynomene indica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046708-250525065834625/datasets/export for details.
DOI: 10.15468/dl.turg6t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeschynomene indica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046709-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gtvwj2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeschynomene indica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046710-250525065834625/datasets/export for details.
DOI: 10.25934/pr00011479
title: Data Challenge: Comparative Analysis of Surveillance Data and Infection Prevention and Control (IPC) Policies

description: Comparative Analysis of Surveillance Data and Infection Prevention and Control (IPC) Policies

Antimicrobial-resistant (AMR) pathogens are the most common cause of hospital-acquired infections. The spread of these pathogens to patients can occur through exposure to contaminated surfaces, medical devices, and the hands of healthcare staff. The source of the pathogen is usually infected patients or asymptomatic carriers. However, its spread is preventable through effective Infection Prevention and Control (IPC) policies, which promote proper screening and decolonization of carriers, and proper decontamination. Effective IPC involves the implementation of evidence-informed strategies to prevent and control infections in healthcare settings.
We hypothesize that the adoption of the IPC framework is influenced by a country’s level of economic development and its limited understanding of circulating pathogens. Understanding the distribution of multidrug-resistant organisms in both hospital and community settings is essential for the development of targeted interventions aimed at preventing and controlling AMR threats. Learning from countries that have successfully reduced healthcare-associated infections (HAI) through effective IPC policies is essential in developing evidence-based policy and AMR containment.
 Data on pathogens causing HAI and CAI in different countries, coupled with IPC policies across different countries, can provide valuable insights into which strategies are effectively curbing the spread of AMR pathogens, particularly in hospital settings. Such data can help identify policy gaps, foster international collaboration for knowledge exchange, advocate for funding to support innovation in IPC practices, and ultimately inform more evidence-based decisions regarding the adoption and implementation of IPC policies. This approach is crucial in reducing the global burden of AMR. In this study, we aim to determine the prevalence of methicillin-resistant Staphylococcus aureus (MRSA) in hospitals and communities across various countries, compare current IPC policies, and highlight best practices that can be adapted to different healthcare settings.