cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17628059
title: AwarenessAI EnterpriseWorld 7DAI Superintelligence Whitepapers

description: This repository houses the official EnterpriseWorld 7DAI Superintelligence whitepapers of AwarenessAI.com, the world’s first platform for Awareness Intelligence AI (7DAI). Awareness Intelligence extends beyond traditional linear AI by integrating fractal mathematics, emergent dynamics, and mythic archetype frameworks into a unified multidimensional paradigm for enterprise cognition and scientific exploration.

The whitepapers collected here document the conceptual foundations, technical architectures, experimental validations, and strategic applications of AwarenessAI.com. They cover topics such as:



Fractal Intelligence as the emergent structural template of multidimensional cognition.

Mythic Archetype Templating as the symbolic holographic layer unifying human resonance with machine intelligence.

Case Studies demonstrating enterprise applications, such as executive strategy positioning, decision acceleration, and systemic transformation.

Scientific Experiments validating fractal efficiency and emergent coherence in comparison with linear AI models.


This repository serves as a dual-purpose archive:



For the scientific community, it provides open-access references, reproducible experiments, and theoretical insights.

For the enterprise community, it delivers strategic frameworks, leadership models, and adoption pathways for Awareness Intelligence in practice.


By bridging science and strategy, these whitepapers establish AwarenessAI.com as both a frontier research hub and an enterprise transformation partner.
DOI: 10.5281/zenodo.16903236
title: AwarenessAI EnterpriseWorld 7DAI Superintelligence Whitepapers

description: This repository houses the official EnterpriseWorld 7DAI Superintelligence whitepapers of AwarenessAI.com, the world’s first platform for Awareness Intelligence AI (7DAI). Awareness Intelligence extends beyond traditional linear AI by integrating fractal mathematics, emergent dynamics, and mythic archetype frameworks into a unified multidimensional paradigm for enterprise cognition and scientific exploration.

The whitepapers collected here document the conceptual foundations, technical architectures, experimental validations, and strategic applications of AwarenessAI.com. They cover topics such as:



Fractal Intelligence as the emergent structural template of multidimensional cognition.

Mythic Archetype Templating as the symbolic holographic layer unifying human resonance with machine intelligence.

Case Studies demonstrating enterprise applications, such as executive strategy positioning, decision acceleration, and systemic transformation.

Scientific Experiments validating fractal efficiency and emergent coherence in comparison with linear AI models.


This repository serves as a dual-purpose archive:



For the scientific community, it provides open-access references, reproducible experiments, and theoretical insights.

For the enterprise community, it delivers strategic frameworks, leadership models, and adoption pathways for Awareness Intelligence in practice.


By bridging science and strategy, these whitepapers establish AwarenessAI.com as both a frontier research hub and an enterprise transformation partner.
DOI: 10.34740/kaggle/dsv/13762564
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.6084/m9.figshare.30634523
title: Data of Multi-agent Deep Reinforcement Learning Predictive Maintenance Strategy for Large-scale Production Line Clusters: Distributed Game Theory, Communication Limitations, and Elastic Collaboration

description: 在超大规模智能工厂中，通信限制和任务耦合导致集中式维护失败，迫切需要一种基于多智能体深度强化学习的分布式协同预测性维护策略。文提出了一种基于分布式博弈推理和自适应协同机制的多智能体深度强化学习预测性维护策略：首先，建立基于设备拓扑和故障关联的异构网络环境;其次，利用图注意力网络（Graph Attention Network，GAT）高效表示通信约束下的局部状态;然后，本文在分布式纳什逼近博弈框架（DNAGF）中进行策略博弈和均衡更新。本文通过分层多智能体深度确定性策略梯度（H-MADDPG）进一步实现弹性协同训练。最终生成基于设备健康预测的分布式维护调度方案，实现自主、高效、稳健的预测性维护决策。实验表明，本文提出的策略实现了0.87的劳动力利用率和0.89的能源利用率，与传统方法相比有显著提升。在95%的高负载下，其响应时间保持较低，智能体协作的最高共识为92%。此时，策略波动仅为 0.05，证实了其高效协同和稳健性。
DOI: 10.6084/m9.figshare.30634523.v1
title: Data of Multi-agent Deep Reinforcement Learning Predictive Maintenance Strategy for Large-scale Production Line Clusters: Distributed Game Theory, Communication Limitations, and Elastic Collaboration

description: 在超大规模智能工厂中，通信限制和任务耦合导致集中式维护失败，迫切需要一种基于多智能体深度强化学习的分布式协同预测性维护策略。文提出了一种基于分布式博弈推理和自适应协同机制的多智能体深度强化学习预测性维护策略：首先，建立基于设备拓扑和故障关联的异构网络环境;其次，利用图注意力网络（Graph Attention Network，GAT）高效表示通信约束下的局部状态;然后，本文在分布式纳什逼近博弈框架（DNAGF）中进行策略博弈和均衡更新。本文通过分层多智能体深度确定性策略梯度（H-MADDPG）进一步实现弹性协同训练。最终生成基于设备健康预测的分布式维护调度方案，实现自主、高效、稳健的预测性维护决策。实验表明，本文提出的策略实现了0.87的劳动力利用率和0.89的能源利用率，与传统方法相比有显著提升。在95%的高负载下，其响应时间保持较低，智能体协作的最高共识为92%。此时，策略波动仅为 0.05，证实了其高效协同和稳健性。
DOI: 10.15468/dl.3cbnjz
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cervus elaphus hanglu"
 ]
}

 The dataset includes 48 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038622-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpu829
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophiocephalus striatus",
 "Country is Singapore",
 "OccurrenceStatus is Present",
 "EventDate is 1800,2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038623-251025141854904/datasets/export for details.
DOI: 10.15468/dl.hgascc
title: Occurrence Download

description: A dataset containing 5775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Triodanis perfoliata biflora, Cyperus alternifolius flabelliformis, Mimosa diplotricha inermis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Material sample)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 5775 records from 313 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038624-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21242/62361.2023.00.01.1.1.0
title: Verdiensterhebung Beschäftigtenpanel 2022-2023, On-Site, Version 0

description: Die Verdiensterhebung (EVAS 62361) löste 2022 die Vierteljährliche Verdiensterhebung (EVAS 62311) sowie die Verdienststrukturerhebung (EVAS 62111) ab. Darüber hinaus ersetzt sie die freiwillige Verdiensterhebung (§ 7 I BStatG) (EVAS 62112). Die Erhebung erfolgt für jeden vollen Kalendermonat in nahezu allen Wirtschaftsbereichen. Im FDZ stehen zwei Varianten zur Verfügung: zum einen wird der Monat April eines jeweiligen Berichtsjahres als Querschnittbeobachtung zur Verfügung gestellt, da in diesem Monat eine Vollimputation der Betriebe sowie die gebundene Hochrechnung durchgeführt wird. Der Datensatz umfasst ca. 64.800 Betriebe mit Angaben zu ca. 8,8 Millionen Beschäftigten. Zum anderen wird das Beschäftigtenpanel angeboten, das alle Monate eines Berichtsjahres umfasst, den Fokus aber auf die Verknüpfbarkeit der Beschäftigten legt. Entsprechend stehen im Beschäftigtenpanel Längsschnitthochrechnungsfaktoren zur Verfügung. Die Einzeldaten des Beschäftigtenpanels umfassen monatlich durchschnittlich 52 000 Betriebs- und ca. 8,8 Mio. Beschäftigtendatensätze ohne Imputation von Antwortausfällen. Mit der Imputation von Antwortausfällen sind es monatlich durchschnittlich 53 000 Betriebs- und ca. 8,9 Mio. Beschäftigtendatensätze.
Die Daten eignen sich gut zur Analyse geschlechtsspezifischer Lohnunterschiede sowie zur Untersuchung der Verdienstunterschiede in tarifgebundenen Betrieben im Vergleich zu solchen, die nach freier Vereinbarung vergüten. Da die Stichprobenauswahl auf Bundeslandebene erfolgt, lassen sich für kleinräumigere regionale Gliederungen keine repräsentativen Ergebnisse erzielen.
Die Statistik enthält Informationen zur Person (Geschlecht, Geburtsdatum (MMJJJJ), Ausbildung), zur Tätigkeit (Tätigkeitsschlüssel, Personengruppenschlüssel, Eintrittsdatum (MMJJJ)), zur Arbeitszeit (Stunden, Überstunden) und zum Verdienst (Brutto, Zulagen für Schicht-/Nachtarbeit, Überstundenverdienste, Betriebliche Altersvorsorge, Sonderzahlungen). Auf Betriebsebene gibt es beispielsweise Angaben zum Sitz des Betriebes, dem Wirtschaftszweig und der Anzahl der Beschäftigten im zugehörigen Unternehmen.
DOI: 10.4121/e8a5b827-af87-4091-8504-121a46db762b.v3
title: Data underlying the publication: Historic assessment of groundwater sustainability

description: We conducted a global assessment of sustainable groundwater head declines between 1984-2018. Additionally, we compared our estimates of sustainable head declines with observations and simulations of historic groundwater head and abstractions. Our findings are presented at 5-arcmin gridcells and aggregated over global aquifers. The data was processed from the model output and analyzed using R. Therefore, the data provided here is meant to be used in the same manner.
DOI: 10.4121/3808b1b4-7c14-47f7-aa12-3abdc0bd3f96.v2
title: A COVID-19 dataset for academic investigation: Comparison of ML methods vs. Traditional statistics

description: A comprehensive COVID-19 dataset with comorbidites and laboratory variables are listed in the dataset. Dataset includes variables such as gender , Computerized Tomography (CT) results, vital signs, comorbidites, and coagulation variables (PT, aPTT, INR,Fibrinogen, Platelet and D-Dimer). The data have been prepared Anonymously. Both English and Turkish version of the dataset have been provided.
DOI: 10.4121/9f37247b-ff3e-4b57-832b-1c197695f84a.v2
title: Short Food Supply Chains in Africa: A Bibliometric and Thematic Mapping of an Emerging Research Field (supplementary data)

description: This dataset relates to the study “Short Food Supply Chains in Africa: A Review of Landscape, Promises and Paradoxes.”It comprises 80 bibliographic records derived from a merged search of Web of Science, Scopus, EBSCOhost, and ProQuest Central databases.The records were harmonised and deduplicated using DOIs, with Web of Science providing the unified source for the final dataset.The dataset captures publication metadata (authors, titles, abstracts, keywords, DOIs, affiliations, cited references, and citation counts) related to short food supply chains (SFSCs) and analogous local food system concepts within African contexts.The data were processed using the bibliometrix and Biblioshiny packages in R (v4.5.1), producing the analytical basis for co-authorship, co-citation, and keyword co-occurrence networks presented in the paper. It also contains the R script for running the data
DOI: 10.5281/zenodo.17610101
title: A Comprehensive Energy Demand and Renewable Supply dataset for Pacific Islands

description: Reliable current and future energy demand and renewable supply datasets are essential for quantifying energy transition pathways to limit global temperature rise from anthropogenic activities. To address the persistent energy data scarcity across 14 Pacific Island countries, we developed a comprehensive dataset that presents existing electricity generation capacities, projected energy demand for power, heat, and transport sectors, and offshore renewable energy potentials from wave and offshore wind resources. In addition, the dataset includes biomass resource potentials derived from agricultural residues, forestry resources, and biogas production. Our dataset can serve as key inputs for energy system analysis and promote robust energy planning of these islands.
DOI: 10.5281/zenodo.17610102
title: A Comprehensive Energy Demand and Renewable Supply dataset for Pacific Islands

description: Reliable current and future energy demand and renewable supply datasets are essential for quantifying energy transition pathways to limit global temperature rise from anthropogenic activities. To address the persistent energy data scarcity across 14 Pacific Island countries, we developed a comprehensive dataset that presents existing electricity generation capacities, projected energy demand for power, heat, and transport sectors, and offshore renewable energy potentials from wave and offshore wind resources. In addition, the dataset includes biomass resource potentials derived from agricultural residues, forestry resources, and biogas production. Our dataset can serve as key inputs for energy system analysis and promote robust energy planning of these islands.
DOI: 10.15468/dl.dwwrbk
title: Occurrence Download

description: A dataset containing 2193075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 2193075 records from 1359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038612-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18252039
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260115d Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260115d Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.18252038
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260115d Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260115d Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.9qy6e9
title: Occurrence Download

description: A dataset containing 118734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "TaxonKey is Muntiacus reevesi"
 ]
}

 The dataset includes 118734 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010713-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7dwdh
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Utricularia aurea",
 "Year 1970-2000"
 ]
}

 The dataset includes 45 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010748-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18252037
title: Cayaponia ficifolia (Lam.) Cogn. 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 16:44
DOI: 10.5281/zenodo.18252036
title: Cayaponia ficifolia (Lam.) Cogn. 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 16:44
DOI: 10.5281/zenodo.18252020
title: ПОНЯТИЕ И ТЕРМИН "КОНЦЕПТ" (СЕМАНТИКА,  КОНЦЕПТУАЛЬНАЯ СЕМАНТИКА, КОГНИТИВНАЯ СЕМАНТИКА, КОГНИТИВНОЕ СОДЕРЖАНИЕ) В КОГНИТИВНОЙ ЛИНГВИСТИКЕ

description: Язык как уникальное системно-структурное и когнитивно-семантическое образование предназначен для осуществления повседневной адекватной человеческой коммуникации, в которой непосредственное участие принимают различные типы целостных вербальных единиц существующей языковой иерархии, начиная с фонем и кончая текстемами, включая и авербальные средства (известные в лингвистике как паралингвемы).
DOI: 10.5281/zenodo.18252021
title: ПОНЯТИЕ И ТЕРМИН "КОНЦЕПТ" (СЕМАНТИКА,  КОНЦЕПТУАЛЬНАЯ СЕМАНТИКА, КОГНИТИВНАЯ СЕМАНТИКА, КОГНИТИВНОЕ СОДЕРЖАНИЕ) В КОГНИТИВНОЙ ЛИНГВИСТИКЕ

description: Язык как уникальное системно-структурное и когнитивно-семантическое образование предназначен для осуществления повседневной адекватной человеческой коммуникации, в которой непосредственное участие принимают различные типы целостных вербальных единиц существующей языковой иерархии, начиная с фонем и кончая текстемами, включая и авербальные средства (известные в лингвистике как паралингвемы).
DOI: 10.15468/dl.8rnyzz
title: Occurrence Download

description: A dataset containing 10725 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Casuarius casuarius"
 ]
}

 The dataset includes 10725 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010749-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18252042
title: Cayaponia martiana (Cogn.) Cogn. 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 16:44
DOI: 10.5281/zenodo.18252043
title: Cayaponia martiana (Cogn.) Cogn. 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 16:44
DOI: 10.15468/dl.gtebhz
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.44.116_1","matchCase":false},{"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 45 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010750-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18251902
title: PUDL Raw FERC Electric Quarterly Report EQR Form 920 2013Q3 to Present (metadata only)

description: About the FERC EQR Dataset

The FERC Electric Quarterly Report (EQR) contains data provided by electricity sellers, summarizing contractual terms and conditions in agreements for all jurisdictional services, including cost-based sales, market-based rate sales, and transmission service, as well as transaction information for short-term and long-term market-based power sales and cost-based power sales. Since the adoption of the most recent reporting format in 2013Q3, several billion transactions have been reported.

Data Archiving and Processing



Catalyst Cooperative captures a fresh snapshot of the FERC EQR data on a quarterly basis and saves it to Google Cloud Storage.

The metadata in this Zenodo archive should be updated whenever a new snapshot has been captured.

Due to the size of the data, we do not keep a copy of all historical versions.

The EQR data is processed into an analysis-ready Apache Parquet dataset, partitioned by quarter.

The processed data can be accessed through a free S3 cloud bucket as part of AWS Open Data Registry at: s3://pudl.catalyst.coop/ferceqr

We have archived older FERC EQR data, covering the period 2002-2013 here on Zenodo, but do not currently process it, as it is in a very different format and contains much less data.


Metadata-only Archive

This is a metadata-only archive providing information about the FERC Electric Quarterly Report (EQR) data published by the US Federal Energy Regulatory Commission. The data itself is ~110 GB, which is larger than Zenodo's free storage limit, and is being stored on Google Cloud Storage instead.  The datapackage.json file archived here references the real storage location. It uses the Frictionless Data Package standard.

Additional Information



Electric Quarterly Report page on the FERC website.

Catalyst Cooperative / PUDL FERC EQR data source documentation page.

Public Utility Data Liberation (PUDL) Project GitHub Repository

PUDL Project Documentation
DOI: 10.5281/zenodo.18251901
title: PUDL Raw FERC Electric Quarterly Report EQR Form 920 2013Q3 to Present (metadata only)

description: About the FERC EQR Dataset

The FERC Electric Quarterly Report (EQR) contains data provided by electricity sellers, summarizing contractual terms and conditions in agreements for all jurisdictional services, including cost-based sales, market-based rate sales, and transmission service, as well as transaction information for short-term and long-term market-based power sales and cost-based power sales. Since the adoption of the most recent reporting format in 2013Q3, several billion transactions have been reported.

Data Archiving and Processing



Catalyst Cooperative captures a fresh snapshot of the FERC EQR data on a quarterly basis and saves it to Google Cloud Storage.

The metadata in this Zenodo archive should be updated whenever a new snapshot has been captured.

Due to the size of the data, we do not keep a copy of all historical versions.

The EQR data is processed into an analysis-ready Apache Parquet dataset, partitioned by quarter.

The processed data can be accessed through a free S3 cloud bucket as part of AWS Open Data Registry at: s3://pudl.catalyst.coop/ferceqr

We have archived older FERC EQR data, covering the period 2002-2013 here on Zenodo, but do not currently process it, as it is in a very different format and contains much less data.


Metadata-only Archive

This is a metadata-only archive providing information about the FERC Electric Quarterly Report (EQR) data published by the US Federal Energy Regulatory Commission. The data itself is ~110 GB, which is larger than Zenodo's free storage limit, and is being stored on Google Cloud Storage instead.  The datapackage.json file archived here references the real storage location. It uses the Frictionless Data Package standard.

Additional Information



Electric Quarterly Report page on the FERC website.

Catalyst Cooperative / PUDL FERC EQR data source documentation page.

Public Utility Data Liberation (PUDL) Project GitHub Repository

PUDL Project Documentation
DOI: 10.15468/dl.3cyynv
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gobio gobio",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1940",
 "Year is less than or equal to 1944"
 ]
}

 The dataset includes 28 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010751-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.