cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17572759
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.17572729
title: Temperature and conductivity data collected during Citizen Science campaigns aboard the Swan Hellenic SH Vega using OpenCTD

description: Dataset of Temperature and Salinity data in the water column collected by OpenCTD during Swan Hellenic expeditions. OpenCTD is a oceanographic instrument designed for budget-restricted scientists, educators, and researchers working in nearshore coastal ecosystems. Full metadata: https://erddap.s4raise.it/erddap/info/swan_hellenic_openctd/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572728
title: Temperature and conductivity data collected during Citizen Science campaigns aboard the Swan Hellenic SH Vega using OpenCTD

description: Dataset of Temperature and Salinity data in the water column collected by OpenCTD during Swan Hellenic expeditions. OpenCTD is a oceanographic instrument designed for budget-restricted scientists, educators, and researchers working in nearshore coastal ecosystems. Full metadata: https://erddap.s4raise.it/erddap/info/swan_hellenic_openctd/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572726
title: Meteorological data collected during Citizen Science V57 campaign aboard the Swan Hellenic SH Vega ship

description: Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. Full metadata: https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V57/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17103396
title: Reconstructed neutron magnetic structure: Insights from Patterson function analysis

description: This dataset contains reconstructed neutron magnetic structure data. It includes processed form factors based on empirical second image deconvolution techniques. The files support findings presented in the associated preprint and are intended for use in nuclear physics research
DOI: 10.5281/zenodo.17572727
title: Meteorological data collected during Citizen Science V57 campaign aboard the Swan Hellenic SH Vega ship

description: Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. Full metadata: https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V57/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572642
title: Reconstructed neutron magnetic structure: Insights from Patterson function analysis

description: This dataset contains reconstructed neutron magnetic structure data. It includes processed form factors based on empirical second image deconvolution techniques. The files support findings presented in the associated preprint and are intended for use in nuclear physics research
DOI: 10.7910/dvn/vmfsoz
title: Replication Data for: Regional Labor Markets, Residential Mobility, and Anti-Immigration Sentiment

description: Since the turn of the 21st century, subnational regions have become increasingly polarized with regards to anti-immigration attitudes. However, the reasons behind geographical changes over time are unclear. We argue that regional labor market risks are a key and overlooked factor driving residential choices and subsequent attitudinal change. We rely on georeferenced panel data from the GSOEP in combination with rich regional labor market data from the German microcensus. Our findings confirm that prospects of economic risk reduction drive moving decisions and subsequently reduce anti-immigration sentiment, especially among workers with transferable skills. This has decisive macro-level implications: regions receiving a large share of risk-reducing movers over time show lower levels of anti-immigration sentiment. Our contribution implies that economic motivations matter for residential choices beyond cultural sorting, individual attitudes adjust to the conditions of destination, and geographical patterns are mostly driven by booming regions becoming ever more liberal.
DOI: 10.13140/rg.2.2.10242.76482
title: Attracteur étrange d'une boussole (complément "MQ et hasard")
DOI: 10.34740/kaggle/dsv/13681101
title: llms.txt
DOI: 10.5281/zenodo.17563682
title: PUDL Raw EIA Thermoelectric Cooling Water

description: Monthly cooling water usage by generator and boiler. Data collected in conjunction with the EIA-860 and EIA-923. Archived from 
https://www.eia.gov/electricity/data/water

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.7683135
title: PUDL Raw EIA Thermoelectric Cooling Water

description: Monthly cooling water usage by generator and boiler. Data collected in conjunction with the EIA-860 and EIA-923. Archived from 
https://www.eia.gov/electricity/data/water

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.17572582
title: Artificial Intelligence in Project Management: Challenges, Strategies and Best Practices

description: The application of Artificial Intelligence (AI) in project management is transforming decision-making processes, enhancing task execution, and improving risk management. This study aimed to elucidate the challenges raised by AI in project management (PM) using a scientometric and qualitative analysis. The research employs both quantitative and qualitative analysis using VOSviewer. The scientometric analyses reveal a substantial increase in AI in PM publications, with project management," "artificial intelligence," "machine learning," "cost reduction," "decision making" and " supply chain management " as the most influential co-occurrence. The systematic review the implementation of challenges and strategies.

The analysis identifies the publication trends, most significant keywords, leading institutions and researchers, prominent collaboration connections, primary publication venues, and the most-cited publications. This research enhances understanding of AI in PM, promotes the utilization of artificial intelligence technologies for gaining insights during certain phases of project development, and improves project management efficiency. The utilization of AI technologies, including machine learning, natural language processing, and predictive analytics, markedly improves project efficiency by enhancing decision-making, effectiveness, and risk mitigation.
DOI: 10.15468/dl.829rvt
title: Occurrence Download

description: A dataset containing 11583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arecaceae",
 "Country is Madagascar"
 ]
}

 The dataset includes 11583 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025063-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdmbdj
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Fritillaria delavayi",
 "Year 1900-2025"
 ]
}

 The dataset includes 57 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025065-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17572723
title: Meteorological data collected during Citizen Science V56 campaign aboard the Swan Hellenic SH Vega ship

description: Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. Full metadata: https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V56/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572722
title: Meteorological data collected during Citizen Science V56 campaign aboard the Swan Hellenic SH Vega ship

description: Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. Full metadata: https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V56/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572721
title: Meteorological data collected during Citizen Science V25 campaign aboard the Swan Hellenic SH Vega ship

description: Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. Full metadata: https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V25/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572720
title: Meteorological data collected during Citizen Science V25 campaign aboard the Swan Hellenic SH Vega ship

description: Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. Full metadata: https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V25/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572718
title: Meteorological data collected during Citizen Science V24 campaign aboard the Swan Hellenic SH Vega ship

description: Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. Full metadata: https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V24/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572719
title: Meteorological data collected during Citizen Science V24 campaign aboard the Swan Hellenic SH Vega ship

description: Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. Full metadata: https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V24/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.15468/dl.bzes7a
title: Occurrence Download

description: A dataset containing 17066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epipactis muelleri",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17066 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025064-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvdf66
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heterosigma akashiwo",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086414-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12629513
title: Dataset for Phosphite as an Engineered Niche for Pseudomonas veronii in a Synthetic Soil Bacterial Community

description: Files containing the source data and analyses used in the manuscript "Phosphite as an Engineered Niche for Pseudomonas veronii in a Synthetic Soil Bacterial Community".

 

Clara Bailey (1), Philip Gwyther (2), Senka Čaušević (2), Brandon L. Greene (1), and Jan Roelof van der Meer (2)

1) Department of Chemistry and Biochemistry, University of California, Santa Barbara, Santa Barbara, California, United States

2) Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland

 

This dataset contains 16S rRNA gene amplicon sequencing data (in the form of an abundance table, "abund.csv" and combined with CFU counts in "abund_cfu.csv"), toluene quantification data, and CFU counts. All data analysis, statistical tests, and generated figures are contained in the relevant .R script. Refer to README files for data tables as well as the README section at the header of the R script. The dataset has been updated from version 1 to include manuscript revisions, and updated calculations and figures.
DOI: 10.5281/zenodo.14360293
title: Dataset for Phosphite as an Engineered Niche for Pseudomonas veronii in a Synthetic Soil Bacterial Community

description: Files containing the source data and analyses used in the manuscript "Phosphite as an Engineered Niche for Pseudomonas veronii in a Synthetic Soil Bacterial Community".

 

Clara Bailey (1), Philip Gwyther (2), Senka Čaušević (2), Brandon L. Greene (1), and Jan Roelof van der Meer (2)

1) Department of Chemistry and Biochemistry, University of California, Santa Barbara, Santa Barbara, California, United States

2) Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland

 

This dataset contains 16S rRNA gene amplicon sequencing data (in the form of an abundance table, "abund.csv" and combined with CFU counts in "abund_cfu.csv"), toluene quantification data, and CFU counts. All data analysis, statistical tests, and generated figures are contained in the relevant .R script. Refer to README files for data tables as well as the README section at the header of the R script. The dataset has been updated from version 1 to include manuscript revisions, and updated calculations and figures.
DOI: 10.15468/dl.z6j95m
title: Occurrence Download

description: A dataset containing 1607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "PublishingOrg is f9b67ad0-9c9b-11d9-b9db-b8a03c50a862",
 "TaxonKey is Artiodactyla"
 ]
}

 The dataset includes 1607 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025598-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nq5ha7
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudofoveata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((10 70,20 70,20 80,10 80,10 70))"
 ]
}

 The dataset includes 446 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025601-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.29489.58722
title: Correction without pre-warming of cold agglutination in the RET optical channel of Sysmex XE-2100/XN 9000 and Mindray BC 6800 Hematological Analyzers. Preliminary data.
DOI: 10.13140/rg.2.2.11572.04484
title: REASONS FOR DECLINING LIVE KIDNEY DONORS : SHEFFIELD EXPERIENCE: BTS Manchester 2007
DOI: 10.15468/dl.j45xeg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Otidiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 -60,130 -60,130 -50,120 -50,120 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025602-251009101135966/datasets/export for details.
DOI: 10.13140/rg.2.2.25099.90408
title: THE MISSING ARTERIAL WALL SIGN FOR MYCOTIC ANEURYSMS; Vascular Surgical Society Meeting 2002
DOI: 10.13140/rg.2.2.25624.19205
title: NR_instances
DOI: 10.5281/zenodo.18790190
title: MODERN PROBLEMS OF DIAGNOSIS OF PRIMARY AND METASTATIC TUMORS OF LONG BONES COMPLICATED BY PATHOLOGICAL FRACTURE

description: Diagnosis of tumors of long (tubular) bones complicated by a pathological fracture is a complex multi-stage process that requires a comprehensive clinical, instrumental and morphological approach. A pathological fracture is often the first clinical manifestation of both primary malignant bone tumors and metastatic skeletal lesions, which significantly complicates the timely verification of the diagnosis and the choice of optimal therapeutic tactics [1, 2].
DOI: 10.13018/bmrbig12
title: N-terminal domain of human HSP90 alpha1 form
DOI: 10.25549/greenberg-c90-5439
title: Maple Drive, Beverly Hills, Calif., 1987-1988

description: Architectural drawings (blueprints of: 1.0 site plan, demolition plan; 2.1 floor plan, telephone electric plan; 2.2 floor plan; 2.3 reinforced ceiling plan; 2.4 blow-up plans & reflected ceiling plans; 2.5 2nd, 3rd & roof plan, shaft & equipment locations; 3.1 exterior elevations; 4.1 interior elevations; 4.2 interior elevations and sections; 4.3 interior elevations; 4.4 interior elevations; 4.5 sections; 4.6 sections; 5.1 details; 5.2 details; 5.3 details; 5.4 details; 5.5 details; 6.1 door schedule; 7.1 sections; ML-1 master legend; S-1 floor plan; S-2 floor plan; S-3 penetrations; S-4 sections; S-5 elevations & details; conceptual drawings; details; elevations; floor plans; parking plan; plan of lampholder; plans of sign; reflected ceiling plans; renderings; sections; site elevations; site plans; stair sections) for Maple Drive restaurant, 345 North Maple Drive, Beverly Hills, California, 1987-1988.
DOI: 10.13018/bmrbig13
title: SDU36-77 compd1
DOI: 10.25549/greenberg-c90-5450
title: Maple Drive, Beverly Hills, Calif., 1987-1988

description: Architectural drawings (blueprints of: 1.0 site plan, demolition plan; 2.1 floor plan, telephone electric plan; 2.2 floor plan; 2.3 reinforced ceiling plan; 2.4 blow-up plans & reflected ceiling plans; 2.5 2nd, 3rd & roof plan, shaft & equipment locations; 3.1 exterior elevations; 4.1 interior elevations; 4.2 interior elevations and sections; 4.3 interior elevations; 4.4 interior elevations; 4.5 sections; 4.6 sections; 5.1 details; 5.2 details; 5.3 details; 5.4 details; 5.5 details; 6.1 door schedule; 7.1 sections; ML-1 master legend; S-1 floor plan; S-2 floor plan; S-3 penetrations; S-4 sections; S-5 elevations & details; conceptual drawings; details; elevations; floor plans; parking plan; plan of lampholder; plans of sign; reflected ceiling plans; renderings; sections; site elevations; site plans; stair sections) for Maple Drive restaurant, 345 North Maple Drive, Beverly Hills, California, 1987-1988.
DOI: 10.13018/bmrbig14
title: SDU36-62 compd2
DOI: 10.13018/bmrbig15
title: SDU36-75 compd3