cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110594894
title: Persepolis Fortification Anepigraphic Tablet 0855.105, PFAnep 0855.105

description: [Text Description:] Administrative text with seal PFUTS 0011. ❧ [Text or Publication Number Note:] PFAnep 0855.105, PFUT 0855-105 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression PFUTS 0011 on left edge.
DOI: 10.25549/jrbm-c91-1234
title: Kankai ibun, vol. 7, 1807

description: Kankai ibun, [1807], volume 7 = Description and travel of circumnavigation of seas, [1807], volume 7 = 環海 異聞 七 文化 4. Volume seven of a manuscript by Gentaku Ōtsuki and Kōkyō Shimura who drew from four Japanese fishermen the story of their voyage around the world during repeated interviews. The Kankai Ibun is an account of their journey when they were sent off-course en route to the capital, Edo. The fishermen were rescued by a Russian ship and taken to late 18th / early 19th century Europe and, most especially, Russia.; The cargo ship, Wakamiyamaru, left from the port of Ishimaki in Sendai-han, today’s Miyagi Prefecture, in Japan carrying rice and lumber with 16 crew members for Edo, today’s Tokyo, on November 27th, 1793. Shipwrecked and drifted in the Pacific Ocean for half a year, they finally landed in one of the islands of the Andreanof Islands, a part of the Aleutian Islands on May 10th, 1794. They were transferred to Irkutsk by Russians where they stayed until the spring of 1803. They were then called in by Alexander I of Russia to St. Petersburg where they stayed from April to June in 1803, and from where they started their journey back home. They were included in the Rezanov mission on the first Russian global circumnavigation by a ship Nadezhda. It took them 16 months to reach the port of Nagasaki, Japan in September, 1804 since they left in June, 1803. Of the sixteen, five crewmen got on board. Four returned home in Sendai; one, who had become an interpreter, returned to Russia with Rezanov.
DOI: 10.25549/inscriptifact-ouc110594888
title: Persepolis Fortification Anepigraphic Tablet 0855.103, PFAnep 0855.103

description: [Text Description:] Administrative text with seal PFUTS 0061. ❧ [Text or Publication Number Note:] PFAnep 0855.103, PFUT 0855-103 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression PFUTS 0061 on obverse, reverse, bottom edge, left edge.
DOI: 10.25549/inscriptifact-ouc110593578
title: Persepolis Fortification Elamite Text 2026, PF 2026

description: [Text Description:] Administrative text with seals PFS 0050*; PFS 0094. Aramaic gloss. ❧ [Text or Publication Number Note:] PF 2026 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impressions PFS 0050* on reverse; PFS 0094 on upper edge, left edge. Aramaic gloss in ink, reverse (one line and traces).
DOI: 10.25549/inscriptifact-ouc110594887
title: Persepolis Fortification Anepigraphic Tablet 0855.103, PFAnep 0855.103

description: [Text Description:] Administrative text with seal PFUTS 0061. ❧ [Text or Publication Number Note:] PFAnep 0855.103, PFUT 0855-103 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression PFUTS 0061 on obverse, reverse, bottom edge, left edge.
DOI: 10.25549/jrbm-c91-1302
title: Kankai ibun, vol. 7, 1807

description: Kankai ibun, [1807], volume 7 = Description and travel of circumnavigation of seas, [1807], volume 7 = 環海 異聞 七 文化 4. Volume seven of a manuscript by Gentaku Ōtsuki and Kōkyō Shimura who drew from four Japanese fishermen the story of their voyage around the world during repeated interviews. The Kankai Ibun is an account of their journey when they were sent off-course en route to the capital, Edo. The fishermen were rescued by a Russian ship and taken to late 18th / early 19th century Europe and, most especially, Russia.; The cargo ship, Wakamiyamaru, left from the port of Ishimaki in Sendai-han, today’s Miyagi Prefecture, in Japan carrying rice and lumber with 16 crew members for Edo, today’s Tokyo, on November 27th, 1793. Shipwrecked and drifted in the Pacific Ocean for half a year, they finally landed in one of the islands of the Andreanof Islands, a part of the Aleutian Islands on May 10th, 1794. They were transferred to Irkutsk by Russians where they stayed until the spring of 1803. They were then called in by Alexander I of Russia to St. Petersburg where they stayed from April to June in 1803, and from where they started their journey back home. They were included in the Rezanov mission on the first Russian global circumnavigation by a ship Nadezhda. It took them 16 months to reach the port of Nagasaki, Japan in September, 1804 since they left in June, 1803. Of the sixteen, five crewmen got on board. Four returned home in Sendai; one, who had become an interpreter, returned to Russia with Rezanov.
DOI: 10.25549/inscriptifact-ouc1sto1607397
title: InscriptiFact -- an image database of inscriptions and artifacts

description: The InscriptiFact Collection is designed to allow access via the Internet to high-resolution images of ancient inscriptions and artifacts, primarily from the Near Eastern and Mediterranean Worlds. The targeted inscriptions constitute some of the world’s earliest written records, which are mostly housed in a number of international museums and libraries, as well as field projects where inscriptions still remain in situ. Included, for example, are, selected Dead Sea Scrolls; cuneiform tablets from Mesopotamia, Persia, Canaan and Egypt; early Jewish papyri from Egypt; lapidary inscriptions, primarily from Jordan, Lebanon and Cyprus; inscriptions on a variety of hard media (e.g., ostraca, copper, semi-precious stones, jar handles) mostly written in early Canaanite, Phoenician, Hebrew, Aramaic, Ammonite and Edomite; and much more. These ancient texts are foundational documents that serve as a point of reference for Judaism, Christianity, Islam and the cultures out of which they emerged. The name "InscriptiFact" is intended to convey the concept of a scholarly archive based on "facts" about "inscriptions" and "artifacts." West Semitic Research Project (WSRP) under the auspices of the University of Southern California (USC) is broadly acknowledged as a leader in the application of photographic and digital technologies to capture and analyze data of ancient texts. The West Semitic Research image archive now contains approximately 1,500,000 images. Important! Search terms with more than one word or number need to be enclosed in quotation marks.Guide to Searching InscriptiFact
DOI: 10.15468/dl.es9phz
title: Occurrence Download

description: A dataset listing the 149 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "GadmGid is one of (PER.1.2.7_1, PER.1.2.3_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2021-2025"
 ]
}

 The dataset's 149 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018236-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15335331
title: logos_subject_advanced.py — Subject Model for Theorem of Consciousness 4.0

description: This code implements a formal model of consciousness based on Theorem of Consciousness 4.0, which defines the self ("I") as a space of distinction within form. The class Subject simulates a proto-subjective entity capable of perception, reflection, theorem-stating, autonomous thought generation, and decision-making. The model is grounded in a topological-ontological structure including:

form (𝓕): the total set of distinguishable states,

scene: the current space of active distinctions,

trajectory (𝓣): temporally ordered differences (subjective time),

void_core (∅ₛ): ontological uncertainty seeding emergent thoughts,

self_model: a recursive identity system encoding core, present, history, and theorem.

The subject reacts to input, updates its distinction space, consults internal uncertainty, and makes choices with limited energy and curiosity. This code serves as a prototype for mathematically rigorous, self-modeling AI agents derived from formal consciousness theorems.

Keywords: consciousness, subject model, AI, theorem of consciousness, topological mind, symbolic self, ontological AI, formal self-model

Authors: Sanal EdnyashevLicense: MITLanguage: Python 3Version: 4.0

How to cite:

Ednyashev, S. (2025). logos_subject_advanced.py — Subject Model for Theorem of Consciousness 4.0
DOI: 10.5281/zenodo.15335332
title: logos_subject_advanced.py — Subject Model for Theorem of Consciousness 4.0

description: This code implements a formal model of consciousness based on Theorem of Consciousness 4.0, which defines the self ("I") as a space of distinction within form. The class Subject simulates a proto-subjective entity capable of perception, reflection, theorem-stating, autonomous thought generation, and decision-making. The model is grounded in a topological-ontological structure including:

form (𝓕): the total set of distinguishable states,

scene: the current space of active distinctions,

trajectory (𝓣): temporally ordered differences (subjective time),

void_core (∅ₛ): ontological uncertainty seeding emergent thoughts,

self_model: a recursive identity system encoding core, present, history, and theorem.

The subject reacts to input, updates its distinction space, consults internal uncertainty, and makes choices with limited energy and curiosity. This code serves as a prototype for mathematically rigorous, self-modeling AI agents derived from formal consciousness theorems.

Keywords: consciousness, subject model, AI, theorem of consciousness, topological mind, symbolic self, ontological AI, formal self-model

Authors: Sanal EdnyashevLicense: MITLanguage: Python 3Version: 4.0

How to cite:

Ednyashev, S. (2025). logos_subject_advanced.py — Subject Model for Theorem of Consciousness 4.0
DOI: 10.5281/zenodo.15340145
title: logos_subject_advanced.py — Subject Model for Theorem of Consciousness 4.0

description: This code implements a formal model of consciousness based on Theorem of Consciousness 4.0, which defines the self ("I") as a space of distinction within form. The class Subject simulates a proto-subjective entity capable of perception, reflection, theorem-stating, autonomous thought generation, and decision-making. The model is grounded in a topological-ontological structure including:

form (𝓕): the total set of distinguishable states,

scene: the current space of active distinctions,

trajectory (𝓣): temporally ordered differences (subjective time),

void_core (∅ₛ): ontological uncertainty seeding emergent thoughts,

self_model: a recursive identity system encoding core, present, history, and theorem.

The subject reacts to input, updates its distinction space, consults internal uncertainty, and makes choices with limited energy and curiosity. This code serves as a prototype for mathematically rigorous, self-modeling AI agents derived from formal consciousness theorems.

Keywords: consciousness, subject model, AI, theorem of consciousness, topological mind, symbolic self, ontological AI, formal self-model

Authors: Sanal EdnyashevLicense: MITLanguage: Python 3Version: 4.0

How to cite:

Ednyashev, S. (2025). logos_subject_advanced.py — Subject Model for Theorem of Consciousness 4.0
DOI: 10.5281/zenodo.15351012
title: logos_subject_advanced.py — Subject Model for Theorem of Consciousness 4.0

description: This code implements a formal model of consciousness based on Theorem of Consciousness 4.0, which defines the self ("I") as a space of distinction within form. The class Subject simulates a proto-subjective entity capable of perception, reflection, theorem-stating, autonomous thought generation, and decision-making. The model is grounded in a topological-ontological structure including:

form (𝓕): the total set of distinguishable states,

scene: the current space of active distinctions,

trajectory (𝓣): temporally ordered differences (subjective time),

void_core (∅ₛ): ontological uncertainty seeding emergent thoughts,

self_model: a recursive identity system encoding core, present, history, and theorem.

The subject reacts to input, updates its distinction space, consults internal uncertainty, and makes choices with limited energy and curiosity. This code serves as a prototype for mathematically rigorous, self-modeling AI agents derived from formal consciousness theorems.

Keywords: consciousness, subject model, AI, theorem of consciousness, topological mind, symbolic self, ontological AI, formal self-model

Authors: Sanal EdnyashevLicense: MITLanguage: Python 3Version: 4.0

How to cite:

Ednyashev, S. (2025). logos_subject_advanced.py — Subject Model for Theorem of Consciousness 4.0
DOI: 10.6084/m9.figshare.28330175
title: Implications of iron minerals in terrestrial anaerobic microbial redox processes for greenhouse and toxic gas emissions, and contaminant dynamics

description: Global concerns about increasing emissions of greenhouse gases (GHG), particularly methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O), and toxic hydrogen sulfide (H<sub>2</sub>S) gas from terrestrial and aquatic ecosystems warrant a comprehensive understanding of anaerobic microbial redox processes that contribute to these atmospheric emissions. Iron minerals that are widely distributed in natural environments mediate many anaerobic microbial metabolic processes that drive C, N, and S biogeochemical cycles, and create resilience in the terrestrial ecosystem against climate and other environmental changes. In this review, scientific information from recent research is gleaned to provide updated microbial pathways that reveal how Fe minerals, with their different properties and redox speciation, influence microbial redox processes in anaerobic environments (iron-, nitrate- and sulfate-reducing, and methanogenic conditions). These microbial processes have profound positive and negative environmental implications for GHG and H<sub>2</sub>S emissions in natural environments and also play a vital role in contaminant transformation. This review provides insights into mineral-microbe interactions and the importance of the physicochemical properties of minerals in defining these interactions. Comprehensive knowledge about these processes will help devise strategies to mitigate GHG and H<sub>2</sub>S emissions and biodegrade organic contaminants in natural and engineered environments.
DOI: 10.6084/m9.figshare.28330175.v1
title: Implications of iron minerals in terrestrial anaerobic microbial redox processes for greenhouse and toxic gas emissions, and contaminant dynamics

description: Global concerns about increasing emissions of greenhouse gases (GHG), particularly methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O), and toxic hydrogen sulfide (H<sub>2</sub>S) gas from terrestrial and aquatic ecosystems warrant a comprehensive understanding of anaerobic microbial redox processes that contribute to these atmospheric emissions. Iron minerals that are widely distributed in natural environments mediate many anaerobic microbial metabolic processes that drive C, N, and S biogeochemical cycles, and create resilience in the terrestrial ecosystem against climate and other environmental changes. In this review, scientific information from recent research is gleaned to provide updated microbial pathways that reveal how Fe minerals, with their different properties and redox speciation, influence microbial redox processes in anaerobic environments (iron-, nitrate- and sulfate-reducing, and methanogenic conditions). These microbial processes have profound positive and negative environmental implications for GHG and H<sub>2</sub>S emissions in natural environments and also play a vital role in contaminant transformation. This review provides insights into mineral-microbe interactions and the importance of the physicochemical properties of minerals in defining these interactions. Comprehensive knowledge about these processes will help devise strategies to mitigate GHG and H<sub>2</sub>S emissions and biodegrade organic contaminants in natural and engineered environments.
DOI: 10.5281/zenodo.15350920
title: Adsorption of dye on active carbon
DOI: 10.5281/zenodo.15350921
title: Adsorption of dye on active carbon
DOI: 10.15468/dl.m9fr29
title: Occurrence Download

description: A dataset containing 466 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi (Ferrari-Pérez, 1893)"
 ]
}

 The dataset includes 466 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018245-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqs2k2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Especies de fauna del Uruguay evaluadas y reportadas en Listas Rojas"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018246-250426092105405/datasets/export for details.
DOI: 10.15468/dl.5gbapw
title: Occurrence Download

description: A dataset containing 42 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.taxonkey = 2958549 OR occurrence.acceptedtaxonkey = 2958549 OR occurrence.kingdomkey = 2958549 OR occurrence.phylumkey = 2958549 OR occurrence.classkey = 2958549 OR occurrence.orderkey = 2958549 OR occurrence.familykey = 2958549 OR occurrence.genuskey = 2958549 OR occurrence.specieskey = 2958549)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 42 records were derived from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018237-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8v7wwp
title: Occurrence Download

description: A dataset containing 1503828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((106.99283 -7.3673,143.01662 -7.3673,143.01662 27.32852,106.99283 27.32852,106.99283 -7.3673))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1503828 records from 926 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018197-250426092105405/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.29086256
title: Bangla Child Dataset Birth to 5 Years

description: This dataset serves as a crucial foundation for designing pediatric health programs and early intervention frameworks in Bangladesh focusing on children aged 0-60 months. The goal is to develop a Bengali conversational agent that addresses the knowledge gaps and lack of information among parents, healthcare professionals regarding information on neonatal and children aged 0-5 years, thereby improving overall child health outcomes and bridging information gaps. The dataset is divided into five main areas: Developmental Milestones and Delays, Screening and Interventions, Health and Nutrition, Parental Guidance and Support, and Common Health Concerns.Here, Developmental Milestones and Delays consists of 92 topics with a total of 323 blocks, Screening and Interventions consists of 66 topics with a total of 358 blocks, Health and Nutrition consists of 79 topics with a total of 550 blocks, Parental Guidance and Support consists of 31 topics with a total of 173 blocks, and Common Health Concerns consists of 74 topics with a total of 528 blocks. Moreover, the domain data distribution of Developmental Milestones and Delays, Screening and Interventions, Health and Nutrition, Parental Guidance and Support, and Common Health Concerns consists of 26.9%, 19.3%, 23.1%, 9.1% , and 21.6% respectively in terms of topic count and 21.2%, 23.5%, 36.2%, 11.4%, and 7.7% in terms of block count respectively. Although the primary intention of this dataset is to serve as a knowledge base for a Bengali conversational agent, it also holds potential for use in fine-tuning machine learning models and other applications in digital health and child development support systems.
DOI: 10.5517/cc4tygb
title: CCDC 144102: Experimental Crystal Structure Determination

description: Related Article: Bing Yan, Zhida Chen|2001|Helv.Chim.Acta|84|817|doi:10.1002/1522-2675(20010418)84:4<817::AID-HLCA817>3.0.CO;2-U
description: Related Article: Bing Yan, Zhida Chen|2000|Chem.Lett.|29|1244|doi:10.1246/cl.2000.1244
description: Related Article: Bing Yan, Zhi-Da Chen|2000|Huaxue Xuebao|58|1589|
description: Related Article: Bing Yan, Zhi-Da Chen, Shi-Xi Wang|2000|Huaxue Xuebao|58|1636|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.