cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v6k5yfp7yv.1
title: The 2011 Congolese household survey

description: This readme describes the Congo Household Consumption Survey database for poverty assessment, which was used to analyze the effect of university education on poverty using data from the Republic of Congo. The Republic of Congo is a Central African state, a poor middle-income country.

1 Scope and presentation of the survey
Scope of the investigation
The survey is aimed at ordinary households, and the social field comprises all households, all categories combined, Congolese or African living like Congolese households.
Geographically, the second Congolese Household Survey (ECOM 2) is a national operation that covers all twelve (12) departments in the country.

2 Survey Plan 
The survey was conducted using a stratified random sampling design, with two stages, with proportional allocation in the first stage. In the first stage, enumeration areas (EAs) were selected. In the second stage, a constant number of households were selected according to the place of residence.

Sampling base 
The ECOM 2 survey base comes from mapping the fourth General Population and Housing Census (RGPH2007) of Congo. This base includes 4,122 ZD for 726,728 households, of which 445,816 are in urban areas and 280,912 in rural areas.

Stratification of the survey field
The cities of Brazzaville and Pointe-Noire (treated as departments) and the 10 other departments are considered fields of study. In other words, the survey results must be significant at the level of the 12 departments. Furthermore, to compare the results with the 2005 ECOM, it seems important to make the survey results also significant at the level of the group consisting of the communes of Dolisie, Mossendjo, Nkayi, and Ouesso.
Except for Kouilou, Brazzaville, and Pointe-Noire, each of the other nine departments was subdivided into urban and rural strata. However, only the rural stratum was covered in the Kouilou department. The departments of Pointe-Noire and Brazzaville were divided into urban strata. In total, the geographical scope of the survey was divided into 21 strata, including 11 urban and 10 rural.
Concretely, apart from Brazzaville and Pointe-Noire, the four other communes are part of the localities that represent the urban environment of their respective departments (Niari, Bouenza, and Sangha). On the other hand, in the other departments, the urban environment is represented either by the chief town
of the department and/or other important agglomerations in terms of demographics and economy.
DOI: 10.15468/dl.suxc9f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrrhulagra portoricensis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025495-250802193616735/datasets/export for details.
DOI: 10.15468/dl.jsr889
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tamarix chinensis",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 613 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025496-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpugtd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrrhulagra taylori)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025497-250802193616735/datasets/export for details.
DOI: 10.15468/dl.fq72uh
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrrhulagra violacea)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025498-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vr7wpw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Atlantirivulus paranaguensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025499-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/atvyem
title: Replication Data for: BJP and INC Twitter Dataset (2024 Indian General Elections)

description: This dataset contains tweets posted by the official accounts of the Bharatiya Janata Party (BJP) and the Indian National Congress (INC) during the final phase of the 2024 Indian general election campaign. The dataset is intended to support analysis of political communication strategies on the platform X (formerly Twitter), focusing on how platform affordances are leveraged by ruling and opposition parties.
DOI: 10.17632/9rmdx6z785.1
title: DATASET AI and Entrepreneurship in Amazon Teacher Training 2025

description: This dataset corresponds to a sequential explanatory mixed-method study that evaluated the impact of a 40-hour teacher training program in Educational District 15D01 (Ecuadorian Amazon), focused on integrating entrepreneurship methodologies and generative AI tools into secondary education.
DOI: 10.15468/dl.bcjk27
title: Occurrence Download

description: A dataset containing 1194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrrhura albipectus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1194 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025500-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d99pg5
title: Occurrence Download

description: A dataset containing 5545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrrhura amazonum)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 5545 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025502-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16758995
title: The Relative Framework: A Philosophical Lens
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 Vol 1 Paper 2
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
title: Intuition Within the Cognitive Compression Framework Vol 1 Paper 2.pdf
title: Memory, Perspective, and the End of Self An Extension of the Cognitive Compression Framework Vol 1 Paper 3.pdf
title: Looking Through The Lens Of The Relative Framework
title: Illusion of Choice: The Architecture of Self Vol 1 Paper 5

description: 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.

This body of work reflects its own emergence. Apparent overlaps or recursions are not oversights, but structural manifestations of the very epistemic constraints the framework explores. No attempt has been made to disguise the process through post hoc polish. Each paper is a stage of compression, capturing the mind’s recursive refinement under cognitive and temporal limitation.

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.

Philpapers:

https://philpeople.org/profiles/dean-tyldesley

Internet Archive:

https://archive.org/details/@dean_tyldesley/uploads

Google Scholar:

https://scholar.google.com/citations?hl=en&user=dAK4zZgAAAAJ

OSF:

https://osf.io/nf243/

"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."

“We are not the arbiters of truth, but the narrators of validity”

Dean Tyldesley

Email: tyldesley@yahoo.com

ORCID: 0009-0006-6041-352X
DOI: 10.15468/dl.8hfna9
title: Occurrence Download

description: A dataset containing 8202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thesium",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8202 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025501-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yde87a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrrhura caeruleiceps)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025503-250802193616735/datasets/export for details.
DOI: 10.17632/z6g7hw2sfh.1
title: Lacticaseibacillus rhamnosus MDC 2012 whole-genome

description: Genetic and Biochemical Characterization of Lacticaseibacillus rhamnosus MDC 2012 and Its Potential in Processing of Raw Pork Meat
DOI: 10.17632/s2yj3659rr
title: Adaptive Congestion Management in Power Grids Using Grey Wolf Optimization and Multi-Agent Communication

description: This dataset contains the complete Python source code for the implementation of an Adaptive Congestion Management strategy in Power Grids using the Grey Wolf Optimization (GWO) algorithm in coordination with a Multi-Agent System (MAS) developed using the SPADE framework.

The code simulates a distributed decision-making mechanism for economic dispatch and congestion alleviation in the IEEE 57-bus test system. The optimization layer is driven by the PSO, GWO metaheuristics, which minimizes generation cost while mitigating line overloads. Agents representing the grid manager and individual generators communicate dynamically over an XMPP-based network to coordinate redispatch actions.
DOI: 10.17632/s2yj3659rr.1
title: Adaptive Congestion Management in Power Grids Using Grey Wolf Optimization and Multi-Agent Communication

description: This dataset contains the complete Python source code for the implementation of an Adaptive Congestion Management strategy in Power Grids using the Grey Wolf Optimization (GWO) algorithm in coordination with a Multi-Agent System (MAS) developed using the SPADE framework.

The code simulates a distributed decision-making mechanism for economic dispatch and congestion alleviation in the IEEE 57-bus test system. The optimization layer is driven by the PSO, GWO metaheuristics, which minimizes generation cost while mitigating line overloads. Agents representing the grid manager and individual generators communicate dynamically over an XMPP-based network to coordinate redispatch actions.
DOI: 10.15468/dl.sja9ah
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Moema pepotei)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025504-250802193616735/datasets/export for details.
DOI: 10.17632/y5hwbhrn5m
title: Paddy Field Pest Image Dataset for Deep Learning-Based Multi-Class Classification

description: This dataset consists of over 22108 high-resolution images of paddy field pests, collected from various locations in Bangladesh, specifically designed for deep learning applications in pest recognition and classification. The dataset includes six major pest species commonly found in South Asian rice fields: Brown Planthopper, Green Leafhopper, Leaf Folder, Rice Bug, Stem Borer, and Whorl Maggot. Each image has been carefully annotated by entomologists and categorized based on pest severity levels, including highly harmful, moderately harmful, moderately less harmful, and less harmful. The images were captured under real-world conditions using smartphone cameras (Redmi Note 10 Pro Max and iPhone XS) in varying environmental conditions.

This dataset is essential for the development and evaluation of automated pest detection systems using deep learning techniques such as Convolutional Neural Networks (CNNs). It supports the early and accurate identification of pests, contributing to sustainable agricultural practices and precision pest management in rice cultivation. The dataset also includes augmented images through methods like rotation, scaling, and brightness adjustment, enhancing the variability and robustness of deep learning models. This resource will be valuable for researchers, farmers, and practitioners working on pest monitoring systems and sustainable crop protection.
DOI: 10.17632/y5hwbhrn5m.3
title: Paddy Field Pest Image Dataset for Deep Learning-Based Multi-Class Classification

description: This dataset consists of over 22108 high-resolution images of paddy field pests, collected from various locations in Bangladesh, specifically designed for deep learning applications in pest recognition and classification. The dataset includes six major pest species commonly found in South Asian rice fields: Brown Planthopper, Green Leafhopper, Leaf Folder, Rice Bug, Stem Borer, and Whorl Maggot. Each image has been carefully annotated by entomologists and categorized based on pest severity levels, including highly harmful, moderately harmful, moderately less harmful, and less harmful. The images were captured under real-world conditions using smartphone cameras (Redmi Note 10 Pro Max and iPhone XS) in varying environmental conditions.

This dataset is essential for the development and evaluation of automated pest detection systems using deep learning techniques such as Convolutional Neural Networks (CNNs). It supports the early and accurate identification of pests, contributing to sustainable agricultural practices and precision pest management in rice cultivation. The dataset also includes augmented images through methods like rotation, scaling, and brightness adjustment, enhancing the variability and robustness of deep learning models. This resource will be valuable for researchers, farmers, and practitioners working on pest monitoring systems and sustainable crop protection.
DOI: 10.15468/dl.u2b7kp
title: Occurrence Download

description: A dataset listing the 2303 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-3.55125 56.20601,-2.47621 56.20601,-2.47621 56.55967,-3.55125 56.55967,-3.55125 56.20601))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 2303 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025494-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sr8wm6
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pristimantis cerasinus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 113 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081043-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36xx24
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eriocheir sinensis",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082154-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5svex
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082155-250717081556266/datasets/export for details.
DOI: 10.17190/amf/2574357
title: AmeriFlux BR-Ma2 Manaus - ZF2 K34

description: This is the AmeriFlux version of the carbon flux data for the site BR-Ma2 Manaus - ZF2 K34. Site Description - The K34 tower is deployed in a medium elevation plateau in the Cuieiras Biological Reserve, a primary forest area, property of INPA, 60Km north of Manaus, in the Km34 of the of the auxiliary road of the ZF2 Reserve.
DOI: 10.15468/dl.qc5rav
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Gephyromantis moseri)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082157-250717081556266/datasets/export for details.
DOI: 10.15468/dl.7waayw
title: Occurrence Download

description: A dataset containing 79918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Connaraceae"
 ]
}

 The dataset includes 79918 records from 439 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013789-250426092105405/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.28926602
title: M-PLOYNOMIAL.py

description: M-PLOYNOMIAL<br>
DOI: 10.15468/dl.aw8wzk
title: Occurrence Download

description: A dataset containing 208365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Combretaceae"
 ]
}

 The dataset includes 208365 records from 722 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013786-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hdn22
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurastrophyceae"
 ]
}

 The dataset includes 550 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010831-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.