cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4dpqp2
title: Occurrence Download

description: A dataset containing 3313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-138.96909 -73.66124,170.86364 -73.66124,170.86364 39.59697,-138.96909 39.59697,-138.96909 -73.66124))",
 "TaxonKey is Galactia striata"
 ]
}

 The dataset includes 3313 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000248-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00004888.0
title: Available IPD datapackage for study 'Long Term Safety and Efficacy of Galantamine in the treatment of Alzheimer's Disease'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.15468/dl.75d5yy
title: Occurrence Download

description: A dataset containing 1093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Doryteuthis pleii"
 ]
}

 The dataset includes 1093 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048836-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.757hpg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orchis palustris, Anacamptis palustris)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001489-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ng42a
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhyacophila soldani",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001490-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/7e3eax
title: New taxa of Pterostichus (Coleoptera: Carabidae) from Vietnam

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fedorenko, D. N. (2023): New taxa of Pterostichus (Coleoptera: Carabidae) from Vietnam. Russian Entomological Journal 32 (1): 16-39, DOI: 10.15298/rusentj.32.1.03, URL: http://dx.doi.org/10.15298/rusentj.32.1.03
DOI: 10.5281/zenodo.18308050
title: Scrophulariaceae Juss. 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 16:54
DOI: 10.5281/zenodo.18308051
title: Scrophulariaceae Juss. 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 16:54
DOI: 10.15468/dl.htkmma
title: Occurrence Download

description: A dataset containing 627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orchis purpurea, Orchis purpurea, Orchis fusca, Orchis fuscata)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 627 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001492-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyrz86
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.63 -2.748828, 101.559656 -2.754392, 101.491043 -2.770949, 101.425847 -2.798092, 101.365672 -2.835152, 101.312 -2.881218, 101.266151 -2.935157, 101.229254 -2.995641, 101.20222 -3.061183, 101.185714 -3.130169, 101.180145 -3.200901, 101.185653 -3.271638, 101.202104 -3.340637, 101.229095 -3.4062, 101.265963 -3.466712, 101.311803 -3.520681, 101.365485 -3.566777, 101.425687 -3.603864, 101.490927 -3.631028, 101.559595 -3.647599, 101.63 -3.653168, 101.700405 -3.647599, 101.769073 -3.631028, 101.834313 -3.603864, 101.894515 -3.566777, 101.948197 -3.520681, 101.994037 -3.466712, 102.030905 -3.4062, 102.057896 -3.340637, 102.074347 -3.271638, 102.079855 -3.200901, 102.074286 -3.130169, 102.05778 -3.061183, 102.030746 -2.995641, 101.993849 -2.935157, 101.948 -2.881218, 101.894328 -2.835152, 101.834153 -2.798092, 101.768957 -2.770949, 101.700344 -2.754392, 101.63 -2.748828))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001491-260119153935675/datasets/export for details.
DOI: 10.25612/837.x4wg6dk6m90p
title: Majority Race/Ethnicity by CTA and Census Tract in Harris County (American Community Survey)

description: This catalog entry contains data on the majority race/ethnicity group per Census tract and Community Tabulation Area (CTA) in Harris County, derived from ACS Five-Year Estimates.
DOI: 10.15468/dl.z7hcqs
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhyacophila vicina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001493-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0006978
title: 生物启发的自适应响应速度，实现高质量的人机交互论文数据集
DOI: 10.5281/zenodo.18263991
title: Datasets used in the study of scZiva.
DOI: 10.5281/zenodo.18263992
title: Datasets used in the study of scZiva.
DOI: 10.5281/zenodo.18308058
title: Scutellaria L. 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 16:54
DOI: 10.5281/zenodo.18308057
title: Scutellaria L. 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 16:54
DOI: 10.5281/zenodo.18308045
title: ICPR 2026 LRLPR [D]
DOI: 10.15468/dl.ygf4gu
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.021 -2.745827, 115.950656 -2.751392, 115.882043 -2.767949, 115.816847 -2.795092, 115.756673 -2.832152, 115.703001 -2.878218, 115.657152 -2.932157, 115.620256 -2.992642, 115.593221 -3.058183, 115.576715 -3.127169, 115.571147 -3.197901, 115.576654 -3.268638, 115.593105 -3.337637, 115.620096 -3.4032, 115.656965 -3.463712, 115.702804 -3.517681, 115.756485 -3.563777, 115.816688 -3.600864, 115.881927 -3.628028, 115.950596 -3.644599, 116.021 -3.650169, 116.091404 -3.644599, 116.160073 -3.628028, 116.225312 -3.600864, 116.285515 -3.563777, 116.339196 -3.517681, 116.385035 -3.463712, 116.421904 -3.4032, 116.448895 -3.337637, 116.465346 -3.268638, 116.470853 -3.197901, 116.465285 -3.127169, 116.448779 -3.058183, 116.421744 -2.992642, 116.384848 -2.932157, 116.338999 -2.878218, 116.285327 -2.832152, 116.225153 -2.795092, 116.159957 -2.767949, 116.091344 -2.751392, 116.021 -2.745827))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001495-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yr9jj4
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orchis ustulata, Neotinea ustulata)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 385 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001494-260119153935675/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.28189616.v2
title: Supplementary data for Reliable inference of phylogenomic relationship via assembly-based strategy accommodating raw reads and proteins

description: Supplementary data for "Reliable inference of phylogenomic relationship via assembly-based strategy accommodating raw reads and proteins", including: initial assembly results of the used datasets, the generated supermatrix, original tree files, all supplementary figures as well as tables.fish.tar.gz, including assembling results, supermatrix, partition file and original tree files based on the catfish dataset.insect.tar.gz, including assembling results, supermatrix, partition file and original tree files based on the insect dataset.Neomphalida_VEHoP.tar.gz, including assembling results, supermatrix, partition file and original tree files based on the Neomphalida dataset.<br><br>
DOI: 10.5281/zenodo.18308061
title: Scutellaria platensis Speg. 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 16:54
DOI: 10.5281/zenodo.18308060
title: Scutellaria platensis Speg. 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 16:54
DOI: 10.15468/dl.na7tsp
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhyacophila yamanakensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 193 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001496-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxubrz
title: Occurrence Download

description: A dataset containing 428971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((110 -25,180 -25,180 10,110 10,110 -25))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata",
 "Year is greater than or equal to 1959"
 ]
}

 The dataset includes 428971 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001460-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nx9sp
title: Occurrence Download

description: A dataset containing 95671 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potamogeton crispus"
 ]
}

 The dataset includes 95671 records from 1257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001417-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69etuc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.893 -2.717827, 104.822658 -2.723392, 104.754046 -2.739949, 104.688852 -2.767092, 104.628679 -2.804152, 104.575008 -2.850219, 104.529161 -2.904158, 104.492266 -2.964642, 104.465232 -3.030184, 104.448727 -3.09917, 104.443159 -3.169902, 104.448667 -3.240639, 104.465117 -3.309638, 104.492108 -3.375201, 104.528975 -3.435713, 104.574813 -3.489681, 104.628493 -3.535777, 104.688694 -3.572864, 104.753931 -3.600028, 104.822598 -3.616599, 104.893 -3.622169, 104.963402 -3.616599, 105.032069 -3.600028, 105.097306 -3.572864, 105.157507 -3.535777, 105.211187 -3.489681, 105.257025 -3.435713, 105.293892 -3.375201, 105.320883 -3.309638, 105.337333 -3.240639, 105.342841 -3.169902, 105.337273 -3.09917, 105.320768 -3.030184, 105.293734 -2.964642, 105.256839 -2.904158, 105.210992 -2.850219, 105.157321 -2.804152, 105.097148 -2.767092, 105.031954 -2.739949, 104.963342 -2.723392, 104.893 -2.717827))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001497-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmgdnu
title: Occurrence Download

description: A dataset containing 5951 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Origanum vulgare, Origanum vulgare)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 5951 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001498-260119153935675/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.29641433
title: Experimental data on VOCs emitted by dominant fresh-water algae detected by Vocus PTR-ToF-MS.zip

description: The chemical profile and release rates of VOCs emitted from a dominant fresh-water algae under various culture conditions are detected by Vocus PTR-ToF-MS and described in detail in this research from Department of Environmental Science & Engineering, Fudan University.
DOI: 10.6084/m9.figshare.29641433.v4
title: Experimental data on VOCs emitted by dominant fresh-water algae detected by Vocus PTR-ToF-MS.zip

description: The chemical profile and release rates of VOCs emitted from a dominant fresh-water algae under various culture conditions are detected by Vocus PTR-ToF-MS and described in detail in this research from Department of Environmental Science & Engineering, Fudan University.
DOI: 10.6084/m9.figshare.29641433.v3
title: Experimental data on VOCs emitted by dominant fresh-water algae detected by Vocus PTR-ToF-MS.zip

description: The chemical profile and release rates of VOCs emitted from a dominant fresh-water algae under various culture conditions are detected by Vocus PTR-ToF-MS and described in detail in this research from Department of Environmental Science & Engineering, Fudan University.
DOI: 10.20350/digitalcsic/17881
title: Addressing first cycle irreversible capacity in lithium-rich layered oxides by blending with delithiated active materials [dataset]

description: Lithium rich layered oxides suffer from high first cycle irreversible capacity. An approach is presented that mitigates this problem by blending the aforementioned compounds with other delithiated active materials. This also shows an improvement in the thermal stability of the resulting electrode. Results include electrochemical and thermal studies as well as synchrotron operando XRD.
description: Folder (Main Text) contains data from Figures 1-7, Folder (SI) conteins data from Figures SI 1 and 2
DOI: 10.15468/dl.uv87vp
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paracapnia recta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001499-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17863695
title: Hepatic Vessel Map (HVM): An Expert-Annotated CT Dataset for AI in Liver Vascular Segmentation and Surgical Planning

description: Precise delineation of hepatic and portal venous anatomy is crucial for the diagnosis of liver disease, surgical planning, and prognosis prediction. Current three-dimensional visualization of these complex vascular structure relies on manual or semi-automated CT segmentation, which is time-consuming and operator-dependent. Although artificial intelligence (AI) presents a promising alternative, existing methods remain constrained by the scarcity of publicly available datasets with fine-grained vascular annotations and inadequate validation in real-world diseased liver populations, which represent the majority of patients undergoing hepatic procedures.   To address this gap, we present the Hepatic Vessel Map (HVM) Dataset, a dual-center resource comprising contrast-enhanced CT scans from 348 patients with over 4,1400 slices and 4,8300 annotations, each with meticulously annotated hepatic veins, portal veins (to third-order branches), and liver tumors. The dataset includes a substantial proportion of cases with underlying hepatic pathology and has been validated in preoperative planning for major hepatectomy, ensuring clinical relevance and model generalizability.   This dataset supports: 1) development and benchmarking of robust hepatic and portal venous segmentation models; 2) vasoimcs research through quantitative analysis of vascular morphology, topology, and radiomic features; 3) generation of patient-specific 3D “digital vascular roadmaps” to enhance surgical precision and safety. As such, this dataset establishes a foundational resource for advancing AI-driven innovations in hepatobiliary surgery and intervention.
DOI: 10.5281/zenodo.17863696
title: Hepatic Vessel Map (HVM): An Expert-Annotated CT Dataset for AI in Liver Vascular Segmentation and Surgical Planning

description: Precise delineation of hepatic and portal venous anatomy is crucial for the diagnosis of liver disease, surgical planning, and prognosis prediction. Current three-dimensional visualization of these complex vascular structure relies on manual or semi-automated CT segmentation, which is time-consuming and operator-dependent. Although artificial intelligence (AI) presents a promising alternative, existing methods remain constrained by the scarcity of publicly available datasets with fine-grained vascular annotations and inadequate validation in real-world diseased liver populations, which represent the majority of patients undergoing hepatic procedures.   To address this gap, we present the Hepatic Vessel Map (HVM) Dataset, a dual-center resource comprising contrast-enhanced CT scans from 348 patients with over 4,1400 slices and 4,8300 annotations, each with meticulously annotated hepatic veins, portal veins (to third-order branches), and liver tumors. The dataset includes a substantial proportion of cases with underlying hepatic pathology and has been validated in preoperative planning for major hepatectomy, ensuring clinical relevance and model generalizability.   This dataset supports: 1) development and benchmarking of robust hepatic and portal venous segmentation models; 2) vasoimcs research through quantitative analysis of vascular morphology, topology, and radiomic features; 3) generation of patient-specific 3D “digital vascular roadmaps” to enhance surgical precision and safety. As such, this dataset establishes a foundational resource for advancing AI-driven innovations in hepatobiliary surgery and intervention.
DOI: 10.25612/837.ezwr3o1po66e
title: Majority race/ethnicity group per census tract in Harris County (2010 and 2020)

description: Map of majority-race/ethnicity by census tract in Harris County for 2010 and 2020 based on decennial census data.
DOI: 10.5281/zenodo.18308064
title: The Miranova Matrix: An Operational Framework for Spacetime Emergence in BFSS Matrix Theory

description: The Miranova Matrix presents an operational framework for understanding spacetime emergence in BFSS Matrix Theory.

By conceptualising fundamental updates as discrete ticks, the framework distinguishes causal depth from emergent experienced time. Minimal generative structures and branching dynamics define lower bounds for system evolution, providing a coherent lens for observers and histories. This approach reframes temporal perception and offers a lens for exploring nonlocal time, irreversibility, and observer-embedded structures.

This document is a speculative conceptual framework informed by existing work in matrix models and M-theory, particularly the BFSS matrix formulation.