cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00133.00633
title: Genomics Patent Knowledge Object Annotation Dataset
title: 基因组学专利知识对象标注数据

description: The dataset, derived from 500 Chinese genomics patents collected from the China National Intellectual Property Administration (CNIPA), was constructed through manual annotation to create a specialized dataset for the extraction of genomic patent knowledge objects.The dataset identifies nine distinct categories of genomic knowledge objects: Gene Symbols, Diseases, Tissues, Organs, Cells, Functional Mechanisms, Regulatory Factors, Targets, and Species. Their definitions are as follows:Gene Symbol: A standardized name uniquely representing a specific gene.Disease: A state affecting the normal functional performance of the body or mind, typically characterized by specific symptoms and signs.Organ: A vital structure within an organism that performs specific physiological functions, composed of various tissues.Tissue: The name of the tissue from which the lncRNA was derived.Cell: The specific cell line or cell type used in experiments.Functional Mechanism: Within the framework of Gene Ontology, this refers to the specific ways in which a gene or its product participates in biological processes and executes molecular functions.Regulatory Factor: A molecule that physically interacts with lncRNA and influences its transcription, expression, or stability.Target: DNA, RNA, proteins, or other types of cellular molecules that physically interact with lncRNAs.Species: The specific names of the species involved in the research.The annotated data is formatted as (Knowledge Object, Type) binary tuples.
description: The dataset, derived from 500 Chinese genomics patents collected from the China National Intellectual Property Administration (CNIPA), was constructed through manual annotation to create a specialized dataset for the extraction of genomic patent knowledge objects.The dataset identifies nine distinct categories of genomic knowledge objects: Gene Symbols, Diseases, Tissues, Organs, Cells, Functional Mechanisms, Regulatory Factors, Targets, and Species. Their definitions are as follows:Gene Symbol: A standardized name uniquely representing a specific gene.Disease: A state affecting the normal functional performance of the body or mind, typically characterized by specific symptoms and signs.Organ: A vital structure within an organism that performs specific physiological functions, composed of various tissues.Tissue: The name of the tissue from which the lncRNA was derived.Cell: The specific cell line or cell type used in experiments.Functional Mechanism: Within the framework of Gene Ontology, this refers to the specific ways in which a gene or its product participates in biological processes and executes molecular functions.Regulatory Factor: A molecule that physically interacts with lncRNA and influences its transcription, expression, or stability.Target: DNA, RNA, proteins, or other types of cellular molecules that physically interact with lncRNAs.Species: The specific names of the species involved in the research.The annotated data is formatted as (Knowledge Object, Type) binary tuples.
DOI: 10.57760/sciencedb.34480
title: Research on Simulation of Interactive Behavior of Cognitive Agents Based on Large Language Models (LLMs) and NetLogo
title: 基于大模型和Netlogo的认知主体智能体交互行为仿真研究

description: This dataset was constructed to support the research paper titled "Simulation of Cognitive Agent Interaction Behaviors Based on Large Language Models and NetLogo". It is primarily used to replicate the generation of social media cognitive agents and the simulation of their interaction behaviors within a cognitive warfare context, specifically centered on the "Al-Ahli Hospital Explosion Incident".The core source of the dataset is publicly available social media textual data related to the incident, collected from three platforms: Weibo, Twitter, and Douyin. Data collection was performed using Python's Selenium automation testing framework to simulate user browsing behavior, combined with the Requests library for asynchronous data crawling. The collection period spanned from October 17, 2023 (the day of the incident) to March 26, 2024. The raw data underwent a cleaning process, which included the removal of duplicates, content from advertisement bots, and posts unrelated to the topic. This process yielded 39,754 records of cognitive contention content, 29,381 records of basic user information for users involved in the cognitive contention, and 377,353 records of historical information from these users.
description: This dataset was constructed to support the research paper titled "Simulation of Cognitive Agent Interaction Behaviors Based on Large Language Models and NetLogo". It is primarily used to replicate the generation of social media cognitive agents and the simulation of their interaction behaviors within a cognitive warfare context, specifically centered on the "Al-Ahli Hospital Explosion Incident".The core source of the dataset is publicly available social media textual data related to the incident, collected from three platforms: Weibo, Twitter, and Douyin. Data collection was performed using Python's Selenium automation testing framework to simulate user browsing behavior, combined with the Requests library for asynchronous data crawling. The collection period spanned from October 17, 2023 (the day of the incident) to March 26, 2024. The raw data underwent a cleaning process, which included the removal of duplicates, content from advertisement bots, and posts unrelated to the topic. This process yielded 39,754 records of cognitive contention content, 29,381 records of basic user information for users involved in the cognitive contention, and 377,353 records of historical information from these users.
DOI: 10.5281/zenodo.18218150
title: ClinvArbitration data release - January 2026

description: This file is a tarball representing the ClinvArbitration re-summary of ClinVar's raw submissions. The ClinvArbitration project represents an altered aggregation of the individual submissions, preferring to break ties when presented with submissions which don't all agree, instead of defaulting to a rating of "conflicting interpretations of pathogenicity". This leads to more variants being presented as either B/LB, or P/LP, and a reduced grey area between.

This data release contains a four items:



The results of the re-interpretation of ClinVar, presented as a Hail Table, and as a TSV

All Pathogenic Missense variants in the ClinVar re-interpretation, indexed by Ensembl Transcript and Codon number


This second part is not easily applied by existing tools, approximating the PM5 consequence category according to the ACMG criteria, and represents the following:



For each Pathogenic SNV in ClinVar, we annotate the variants using BCFtools CSQ. For each Pathogenic SNV which is also a Missense variant, we reogrganise the data to be indexed on Transcript and Codon number. This can then be inverted to annotate genetic variation - if a variant is a Missense, and a ClinVar pathogenic Missense variant exists affecting the same Codon, we annotate the Missense with co-located known pathogenic ClinVar entries, in case this contributes to the interpretation of the variant under investigation.


I would like to acknowledge that since this side project started, a substantial curation effort has been made in ClinVar, so the gap between the standard and re-interpreted ClinVar results has closed substantially. The exact data format presented here is required by Talos, a whole-Exome/Genome variant prioritisation tool, so despite the increasing consistency between the two results sets this exact data format should continue to be distributed.

This release builds on the previous release by including Mitochondrial variants. These Mito submissions are not part of the PM5/missense matched dataset, but are present as individual decisions.
DOI: 10.5281/zenodo.15671820
title: ClinvArbitration data release - January 2026

description: This file is a tarball representing the ClinvArbitration re-summary of ClinVar's raw submissions. The ClinvArbitration project represents an altered aggregation of the individual submissions, preferring to break ties when presented with submissions which don't all agree, instead of defaulting to a rating of "conflicting interpretations of pathogenicity". This leads to more variants being presented as either B/LB, or P/LP, and a reduced grey area between.

This data release contains a four items:



The results of the re-interpretation of ClinVar, presented as a Hail Table, and as a TSV

All Pathogenic Missense variants in the ClinVar re-interpretation, indexed by Ensembl Transcript and Codon number


This second part is not easily applied by existing tools, approximating the PM5 consequence category according to the ACMG criteria, and represents the following:



For each Pathogenic SNV in ClinVar, we annotate the variants using BCFtools CSQ. For each Pathogenic SNV which is also a Missense variant, we reogrganise the data to be indexed on Transcript and Codon number. This can then be inverted to annotate genetic variation - if a variant is a Missense, and a ClinVar pathogenic Missense variant exists affecting the same Codon, we annotate the Missense with co-located known pathogenic ClinVar entries, in case this contributes to the interpretation of the variant under investigation.


I would like to acknowledge that since this side project started, a substantial curation effort has been made in ClinVar, so the gap between the standard and re-interpreted ClinVar results has closed substantially. The exact data format presented here is required by Talos, a whole-Exome/Genome variant prioritisation tool, so despite the increasing consistency between the two results sets this exact data format should continue to be distributed.

This release builds on the previous release by including Mitochondrial variants. These Mito submissions are not part of the PM5/missense matched dataset, but are present as individual decisions.
DOI: 10.6084/m9.figshare.29986105
title: Supporting Information & Supplementary Tables for "Eocene Lamproitic Magmatism in Gangdese: Melting Sub-arc Lithospheric Mantle and Implications for the Early Cenozoic Magmatic “Flare Up” in Southern Tibet"

description: The role of sub-arc mantle lithosphere in the build-up of a batholith is an outstanding issue that is still not well resolved. Lamproite is a mantle-derived magmatic rock that provides a window to learn the composition and the enrichment processes of subcontinental lithospheric mantle (SCLM). Zircon and titanite U-Pb age data on a dike of lamproite from the Gangdese batholith indicate that this dike was generated at ~44 Ma. These lamproitic samples are of ultrapotassic with high K2O contents, high Sr and Ba concentrations. They show strong enrichment in light rare earth elements (LREE), depletion in heavy rare earth elements (HREE) and substantial negative anomalies in Ti, Nb, and Ta. These lamproitic rocks are characterized by radiogenic unradiogenic ɛNd(t) ( -11.6 to -12.5), low 206Pb/204Pb(t) (18.71-18.73), elevated 207Pb/204Pb(t) (15.75-15.76) and 208Pb/204Pb(t) (39.62-39.73) isotope compositions, suggesting that the lamproite was derived from a fluid-metasomatized sub-arc lithospheric mantle. Monte Carlo modeling indicates that this metasomatic event happened at 174 Ma during the subduction of the Tethyan oceanic lithosphere. The ~44 Ma Tunba lamproitic magmatism represents a magmatic response to the early Cenozoic slab breakoff of the Neo-Tethyan oceanic lithosphere. During the early Cenozoic magmatic “flare up”. Melting of a metasomatized sub-arc lithospheric mantle could increase the magma production in addition to the magmas from asthenospheric mantle. This process could be another important factor that enhance the magmatic “flare up” in the Gangdese batholith in particular and other batholith worldwide.
DOI: 10.6084/m9.figshare.29986105.v2
title: Supporting Information & Supplementary Tables for "Eocene Lamproitic Magmatism in Gangdese: Melting Sub-arc Lithospheric Mantle and Implications for the Early Cenozoic Magmatic “Flare Up” in Southern Tibet"

description: The role of sub-arc mantle lithosphere in the build-up of a batholith is an outstanding issue that is still not well resolved. Lamproite is a mantle-derived magmatic rock that provides a window to learn the composition and the enrichment processes of subcontinental lithospheric mantle (SCLM). Zircon and titanite U-Pb age data on a dike of lamproite from the Gangdese batholith indicate that this dike was generated at ~44 Ma. These lamproitic samples are of ultrapotassic with high K2O contents, high Sr and Ba concentrations. They show strong enrichment in light rare earth elements (LREE), depletion in heavy rare earth elements (HREE) and substantial negative anomalies in Ti, Nb, and Ta. These lamproitic rocks are characterized by radiogenic unradiogenic ɛNd(t) ( -11.6 to -12.5), low 206Pb/204Pb(t) (18.71-18.73), elevated 207Pb/204Pb(t) (15.75-15.76) and 208Pb/204Pb(t) (39.62-39.73) isotope compositions, suggesting that the lamproite was derived from a fluid-metasomatized sub-arc lithospheric mantle. Monte Carlo modeling indicates that this metasomatic event happened at 174 Ma during the subduction of the Tethyan oceanic lithosphere. The ~44 Ma Tunba lamproitic magmatism represents a magmatic response to the early Cenozoic slab breakoff of the Neo-Tethyan oceanic lithosphere. During the early Cenozoic magmatic “flare up”. Melting of a metasomatized sub-arc lithospheric mantle could increase the magma production in addition to the magmas from asthenospheric mantle. This process could be another important factor that enhance the magmatic “flare up” in the Gangdese batholith in particular and other batholith worldwide.
DOI: 10.6084/m9.figshare.29986105.v1
title: Supporting Information & Supplementary Tables for "Eocene Lamproitic Magmatism in Gangdese: Melting Sub-arc Lithospheric Mantle and Implications for the Early Cenozoic Magmatic “Flare Up” in Southern Tibet"

description: The role of sub-arc mantle lithosphere in the build-up of a batholith is an outstanding issue that is still not well resolved. Lamproite is a mantle-derived magmatic rock that provides a window to learn the composition and the enrichment processes of subcontinental lithospheric mantle (SCLM). Zircon and titanite U-Pb age data on a dike of lamproite from the Gangdese batholith indicate that this dike was generated at ~44 Ma. These lamproitic samples are of ultrapotassic with high K2O contents, high Sr and Ba concentrations. They show strong enrichment in light rare earth elements (LREE), depletion in heavy rare earth elements (HREE) and substantial negative anomalies in Ti, Nb, and Ta. These lamproitic rocks are characterized by radiogenic unradiogenic ɛNd(t) ( -11.6 to -12.5), low 206Pb/204Pb(t) (18.71-18.73), elevated 207Pb/204Pb(t) (15.75-15.76) and 208Pb/204Pb(t) (39.62-39.73) isotope compositions, suggesting that the lamproite was derived from a fluid-metasomatized sub-arc lithospheric mantle. Monte Carlo modeling indicates that this metasomatic event happened at 174 Ma during the subduction of the Tethyan oceanic lithosphere. The ~44 Ma Tunba lamproitic magmatism represents a magmatic response to the early Cenozoic slab breakoff of the Neo-Tethyan oceanic lithosphere. During the early Cenozoic magmatic “flare up”. Melting of a metasomatized sub-arc lithospheric mantle could increase the magma production in addition to the magmas from asthenospheric mantle. This process could be another important factor that enhance the magmatic “flare up” in the Gangdese batholith in particular and other batholith worldwide.
DOI: 10.15468/dl.2e689u
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Asia",
 "Country is one of (China, Chinese Taipei)",
 "TaxonKey is Ulotrichales"
 ]
}

 The dataset's 7 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003391-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bz3tva
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mystus cavasius"
 ]
}

 The dataset includes 180 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003393-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xc4vtq
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nilgiritragus hylocrius"
 ]
}

 The dataset includes 338 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003394-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18202357
title: Data and code for "Group-level phenotypes are idiosyncratic yet unpredictable over development in a clonal fish"

description: All processed data and analysis code for the paper "Group-level phenotypes are idiosyncratic yet unpredictable over development in a clonal fish".
DOI: 10.5281/zenodo.18202356
title: Data and code for "Group-level phenotypes are idiosyncratic yet unpredictable over development in a clonal fish"

description: All processed data and analysis code for the paper "Group-level phenotypes are idiosyncratic yet unpredictable over development in a clonal fish".
DOI: 10.5517/ccdc.csd.cc2qlm10
title: CCDC 2520332: Experimental Crystal Structure Determination

description: Related Article: Xiaochuan Li|2026|CSD Communication|||
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.
DOI: 10.15468/dl.ubdgyb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "TaxonKey is Aconitum nagarum"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003395-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14278/rodare.4360
title: Data publication: Synthesis and preclinical evaluation of FAP-targeting radiotracers for PET and optical imaging

description: Analytical data for chemical synthesis (HPLC, NMR, HRMS), biological data for in vitro and in vivo evaluation (binding assays, small animal imaging)
DOI: 10.14278/rodare.4142
title: Data publication: Synthesis and preclinical evaluation of FAP-targeting radiotracers for PET and optical imaging

description: Analytical data for chemical synthesis (HPLC, NMR, HRMS), biological data for in vitro and in vivo evaluation (binding assays, small animal imaging)
DOI: 10.5281/zenodo.18194523
title: Chlorophyll amplifies summer marine heatwaves through biophysical radiative feedbacks
DOI: 10.5281/zenodo.18194524
title: Chlorophyll amplifies summer marine heatwaves through biophysical radiative feedbacks
DOI: 10.5281/zenodo.18198830
title: Dynamical Information Geometry (DIG), Part IV: Regime Tests and Invariance — Data Set

description: This dataset provides the complete numerical and hardware data used to investigate the regime structure, validity boundaries, and structural invariance properties of the Dynamical Information Geometry (DIG) framework as reported in DIG Part IV.

DIG assigns an effective, state-dependent geometry to quantum many-body systems via the curvature of a coarse-grained mutual-information profile. Earlier work established the theoretical framework, provided numerical evidence for slowing and acceleration effects, and validated a minimal operational consequence on quantum hardware. The present dataset documents the stability and invariance properties of the corresponding sign-dependent modifications of operator propagation under controlled variations.

The dataset includes raw and processed data from a collection of operationally defined tests performed under strictly energy-matched conditions. These tests probe sign structure, antisymmetry, regime boundaries, invariance under changes in system size or implementation, and robustness under local perturbations. Both numerical simulations and quantum-hardware executions are included where applicable.

All data are provided without fitting, extrapolation, noise mitigation, or cross-platform normalization beyond the explicitly documented operational definitions. The archive is designed to enable independent verification, alternative analyses under clearly stated assumptions, and reproducibility audits.

The dataset contains complete raw outputs, analysis and audit scripts, metric inventories, regime tables, and a detailed README describing folder structure, operational definitions, and verification procedures. Cryptographic checksums (SHA-256) are provided separately to ensure data integrity.

Related DIG materials:

DIG Part I (theoretical framework):https://doi.org/10.5281/zenodo.17983399

DIG Part II (numerical validation):https://doi.org/10.5281/zenodo.17982058

DIG Part III (hardware validation):https://doi.org/10.5281/zenodo.18100057

DIG — N1 (definitions and scope):https://doi.org/10.5281/zenodo.18001179

DIG Part IV (associated manuscript):https://doi.org/10.5281/zenodo.18202656

Intended use

This dataset is intended for independent verification of regime behavior, reproducibility checks, and comparative analysis under explicit operational choices. It is not intended as a benchmark for quantitative universality or parameter fitting.

Correspondence regarding this dataset may be directed to:kaya@cab-film.com

NOTE:

Version 2

This version corrects hard-coded absolute path assumptions in the analysis scripts.All scripts now operate relative to the package root and can be executed without user-specific filesystem dependencies.

No raw JSON data, numerical results, hardware records, or scientific content were modified. The update strictly improves portability and reproducibility of the existing dataset and does not affect any results reported in DIG Part IV.