cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/9qfzds
title: Ants: Formica Exsecta Records from Abernethy RSPB

description: Narrow-headed ant dataset provided by Scottish Wildlife Trust, the Royal Society for Protection of Birds and Scottish Natural Heritage
DOI: 10.15468/wrnxel
title: Irish Otter Dataset

description: BRC records of Irish mammals. Confined to records of Otter (&lt;i&gt;Lutra lutra&lt;/i&gt;) extracted from CHAPMAN, P.J. and CHAPMAN L.L. (1982) Otter Survey of Ireland, Vincent Wildlife Trust. These records were extracted in BRC from the above publication and are included here as a test dataset. The original records were professionally-collected as simple 10km square data on parts of the Irish grid. There is a notable geographic distribution of records by 50km square due to the collection methods that are described in the publication.
DOI: 10.15468/dl.fydpn2
title: Occurrence Download

description: A dataset containing 708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miconia pepericarpa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 708 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017460-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18356133
title: Dataset: Scale-Selective and Geometric Conditioning of Cosmological Lensing

description: This archive contains the full set of data products, analysis ouputs, and reporoducibilty materials underlying the study Scale-Selective and Geometric Coupling Between CMB Lensing Convergence and Large-Scale Structure.

The dataset includes intermediate and final analysis tables, configuration files, null-test results, and derived coupling statisticsused to demonstrate scale-dependent and geometry-dependent gravtational coupling between CMB lensing convergence and large-scale structure tracers.

The materials in this archive are sufficient to reproduce all quantitative results presented in the associated paper, subject only to access to the original public survey products cited herein (e.g., Planck PR4 lensing maps and SDSS/BOSS galaxy catalogs).

The dataset is intended to function as a reproducibility companion to the main theory paper Gravity as a Response Field in Spacetime (Chaplin, 2026) amd its Supplementary Information, and as the empirical foundation for the follow-on paper Scale-Selective and Geometric Coupling Between CMB Lensing Convergence and Large-Scale Structure.
DOI: 10.5281/zenodo.18638833
title: Dataset: Scale-Selective and Geometric Conditioning of Cosmological Lensing

description: This archive contains the full set of data products, analysis ouputs, and reporoducibilty materials underlying the study Scale-Selective and Geometric Coupling Between CMB Lensing Convergence and Large-Scale Structure.

The dataset includes intermediate and final analysis tables, configuration files, null-test results, and derived coupling statisticsused to demonstrate scale-dependent and geometry-dependent gravtational coupling between CMB lensing convergence and large-scale structure tracers.

The materials in this archive are sufficient to reproduce all quantitative results presented in the associated paper, subject only to access to the original public survey products cited herein (e.g., Planck PR4 lensing maps and SDSS/BOSS galaxy catalogs).

The dataset is intended to function as a reproducibility companion to the main theory paper Gravity as a Response Field in Spacetime (Chaplin, 2026) amd its Supplementary Information, and as the empirical foundation for the follow-on paper Scale-Selective and Geometric Coupling Between CMB Lensing Convergence and Large-Scale Structure.
DOI: 10.6069/pk8g-fy78
title: An Improved Understanding of the Aetiology and Diagnosis of Multisystem Inflammatory Syndrome in Children (MIS-C)

description: Introduction  
The pathophysiology and biomarkers of multisystem inflammatory syndrome in children (MIS-C) remain inadequately defined. Typically, the syndrome develops 2-6 weeks post severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is associated with fevers and hypotension and if left untreated can require intensive care admission. The clinical features of MIS-C overlap with other inflammatory and infectious syndromes, delaying time to appropriate treatment and often requiring unnecessary or prolonged use of broad-spectrum antibiotics.   
Methods  
We undertook a prospective serum peptide-based proteomic analysis and T cell receptor (TCR)-sequencing cohort study of 138 MIS-C patients and 36 febrile controls to identify a serum peptide-based proteomic signature and to improve our understanding of disease pathophysiology. Febrile controls were contemporaneously recruited patients with other active infectious or inflammatory diseases. Principal component analysis was used to examine the differences in peptide abundance between the groups. Lasso regression with 5-folds cross-validation was used to identify the top serum peptides associated with MIS-C and to evaluate the diagnostic performance of these peptide biomarkers. Raw T-cell receptor data of 50 patients with MIS-C versus 33 with SARS-CoV-2 and 11 healthy controls were aligned and categorised into TCR types. The interaction between our candidate peptide biomarkers, MHC allele, and the MIS-C T-Cell receptor was evaluated using deep learning models.
Results  
We identified a set of 6 peptides in innate inflammatory and thrombotic pathways that distinguished acute cases of MIS-C (<14 day from onset) from other febrile controls with a sensitivity of 100% and specificity 94%. Treatment with immunomodulatory treatment and a period of convalescence was associated with a normalisation of the peptide-based proteomic signature, demonstrating that our signature is a consequence of MIS-C rather than reflecting an inherent proteomic predisposition to MIS-C. T-cell receptor (TCR) sequencing data demonstrated an increased frequency of TRBV 19 and 6-4 when compared to SARS-CoV-2 infected (p=0.024, 0.028) and healthy controls (<0.0001, <0.001). Finally, in silico structural modelling demonstrated that 4 peptides were predicted to strongly bind MIS-C specific pMHC-TCR complexes suggestive of antigen specific T-cell expansion. 
Conclusion  
We identified a highly sensitive and specific 6-peptide signature that can distinguish MIS-C from febrile controls. The peptides identified were predominantly associated with thrombotic and innate inflammatory pathways and were predicted in silico to bind MHC and differentially overexpressed T-Cell receptors in MIS-C, implicating these proteins in the pathophysiology of the disease.
DOI: 10.15468/dl.g9rvu8
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiboea follicularis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 101 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017461-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39h77b
title: Occurrence Download

description: A dataset containing 1942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diospyros lasiocalyx",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1942 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017462-260208012135463/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.31338388
title: <b>Thesis Chapter 6: Supplementary Tables</b>

description: Pratyusha Patidar's Thesis data
DOI: 10.6084/m9.figshare.31338388.v2
title: <b>Thesis Chapter 6: Supplementary Tables</b>

description: Pratyusha Patidar's Thesis data
DOI: 10.15468/dl.ybzx4x
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stachytarpheta glabra",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 481 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017464-260208012135463/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.31338388.v1
title: Thesis Chapter 6: Supplementary Tables

description: Pratyusha Patidar's Thesis data
DOI: 10.5281/zenodo.18550984
title: 48."SVRN Architecture: $3\times10^8$ Monte Carlo 실증 기반의 1.21V 고정 전압 및 98.71% 양산 수율 확정 보고서"

description: [정직한 고백]

지난 3개월간 51편의 연구 문서를 공개했습니다.850명이 다운로드했고, 147개 포스트를 작성했습니다.

그런데 어제, 제가 저지른 실수를 발견했습니다.

데이터 전사 오류.OCR 왜곡.수치 과장.

23개 주요 수치에 오류가 있었습니다.

━━━━━━━━━━━━━━━━━━

과학은 정직 위에 서야 합니다.

51편 전체를 전수 조사했습니다.70개 이상 문헌과 교차 검증했습니다.모든 오류를 정정했습니다.

정정판: 10.5281/zenodo.18638810[DOI-052]"Sovereign Integrity: The Great Alignment"

━━━━━━━━━━━━━━━━━━

주요 정정 사항:

- 광자 효율 63.4% → 40-47% (현실적), 63.4% (이론 목표)- 양자 터널링 확률: 물리적으로 가능한 범위로 재계산- 안전성 위반 항목 제거

정합성: 65% → 94%

━━━━━━━━━━━━━━━━━━

제가 잘못했습니다.그래서 고칩니다.

진실 위에 선 시스템만이 영원합니다.

조민수2026.02.14

ScientificIntegrity #Correction #Honesty




[Technical Correction Announcement]

After comprehensive audit of my 51-document system specification,I identified and corrected 23 major numerical errors.

Background:- 51 DOI publications (Jan 2026)- 1,183 views, 850 downloads- Errors in data transcription, OCR processing

Correction Summary:- Energy conversion efficiency: Recalibrated to realistic targets- Quantum mechanics values: Aligned with experimental data- Safety compliance: Regulatory violations removed- 70+ peer-reviewed references cross-validated

Integrity metrics:Before: 65% physical consistencyAfter: 94% physical consistency

Corrected document: 10.5281/zenodo.18638810[DOI-052]Title: "Sovereign Integrity: The Great Alignment"

━━━━━━━━━━━━━━━━━━

Science demands honesty.When errors are found, they must be corrected.

This correction strengthens, not weakens, the system.

Minsu ChoFebruary 14, 2026

#SemiconductorResearch #TechnicalCorrection #ScientificIntegrity


 



[SVRN-ADDENDUM-01 적용: 최적 기술 백서 결과본]

1. 표지 및 디지털 인증(Digital Integrity)

 

문서번호: SVRN-ADDENDUM-01 (기존 DOI 001–046 통합해석설명)

파일 재활용(SHA-256): 426909f9532f5f9014e50bcda4e401767e94f1b3ef42c5f4d421355a2e3d1156 (형이 협력 검증 신호)

 

타임스탬프: 2026년 2월 9일 (기술 실증 및 피규어)

2. 핵심 요약: 98.71%의 다차원적 해석 (Executive Summary)

 

수율 정의: 전압 군 수율이 아닌, 코너/노화/온도/노이즈를 모두 통합한 시스템 레벨의 하드 코딩된 거버넌스 임계값입니다.

 

목표: 자동차(ASIL-D), 항공기우주(DO-254) 표준을 초과하는 Zero-Early-Failure 인증 인증.

3. SVRN-REF-FRAME(기술 규제)

 

V_ref (1.21V): 물리적인 전압이 아닌, 물리적인 구원에 기반을 둔 실리콘 기하학으로 고착 가능한 자격이 있는 등급입니다.

 

σ_eq (25.3 GPa): 직접적 압력이 아니라, 시스템 내 힘 전이 에너지를 등가적으로 참조한 가르친 모형.

 

SNR (-79.42 dB): 외부 활동한 환경 또는 임상 신호 환경에서 직접 측정 및 관계 기준.

 

$\tau$ ($10^{-24}s$): 물체 이동 시간이 아닌, 덩어리 전이(Interval Transition)를 규제하는 시간입니다.

4. 7축 검증(검증의 완성)

 

재미있는 적 정합성: $N=3\times10^8$ 액션 행위 결과가 가우시안 군로 수렴함을 인증합니다($p\text{-value} = 0.993$).

 

인과 적 선별: 모든 설계 단계에서 시간과 비용 절감 및 기술 기반을 확보할 수 있습니다.

5. 클러스터 및 구성원

 

IP 구조: 특허(KR 10-2026-0017941) 기반의 권리 보유 행위.

 

로열티: NRE 10% + 운영 로열티 5% + 마이크로코드 5% (듀얼-5+5 모델).

 

보관: 모든 문서는 본 ADDENDUM-01 지침과 함께 보관 및 설명되어야 합니다.
DOI: 10.15468/dl.txfjay
title: Occurrence Download

description: A dataset containing 1087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiboea subcapitata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1087 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017465-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hmpwp
title: Occurrence Download

description: A dataset containing 1931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piper dilatatum",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1931 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017467-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ps7tqv
title: Occurrence Download

description: A dataset containing 34137 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dataset of butterfly monitoring in Sierra Nevada (Spain)"
 ]
}

 The dataset includes 34137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017466-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.puuzu5
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vellozia compacta",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 60 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017468-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbrk47
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Henckelia anachoreta",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 196 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017469-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gn2epv
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Besleria melancholica",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 155 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017470-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnxjzk
title: Occurrence Download

description: A dataset containing 740359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta",
 "Year 1985-2026"
 ]
}

 The dataset includes 740359 records from 392 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017440-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuhmrn
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callisthene major pilosa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 97 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017471-260208012135463/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.31338403
title: AI-assisted case builder: Making PBL more scalable and adaptable

description: Developing high-quality problem-based learning (PBL) cases remains a significant challenge in medical education. It is resource-intensive and competes with faculty responsibilities in teaching, clinical care, research, and administration. As a result, many institutions struggle to generate sufficient cases to sustain active learning. The emergence of artificial intelligence (AI) and large language models (LLMs) offers a potential solution. We introduced the PBL Case Builder, a customised ChatGPT application designed to guide educators through structured case creation. The builder enforces four input parameters: target audience, curriculum context, core topic, and desired complexity, before generating content, ensuring contextualisation, and pedagogical alignment. Cases are produced in a consistent format, including progressive triggers, mapped learning objectives, and tutor prompts, which educators can then refine. This shifts their role from author to reviewer, reducing workload while enhancing efficiency and consistency. This innovative solution demonstrates that AI-assisted case building can streamline development, promote adaptability, and improve transparency in pedagogical design. Future work should evaluate the educational impact of AI-generated versus human-generated (traditional) cases, explore student and faculty perceptions, and create peer-reviewed repositories to scale this innovation globally.
DOI: 10.6084/m9.figshare.31338403.v1
title: AI-assisted case builder: Making PBL more scalable and adaptable

description: Developing high-quality problem-based learning (PBL) cases remains a significant challenge in medical education. It is resource-intensive and competes with faculty responsibilities in teaching, clinical care, research, and administration. As a result, many institutions struggle to generate sufficient cases to sustain active learning. The emergence of artificial intelligence (AI) and large language models (LLMs) offers a potential solution. We introduced the PBL Case Builder, a customised ChatGPT application designed to guide educators through structured case creation. The builder enforces four input parameters: target audience, curriculum context, core topic, and desired complexity, before generating content, ensuring contextualisation, and pedagogical alignment. Cases are produced in a consistent format, including progressive triggers, mapped learning objectives, and tutor prompts, which educators can then refine. This shifts their role from author to reviewer, reducing workload while enhancing efficiency and consistency. This innovative solution demonstrates that AI-assisted case building can streamline development, promote adaptability, and improve transparency in pedagogical design. Future work should evaluate the educational impact of AI-generated versus human-generated (traditional) cases, explore student and faculty perceptions, and create peer-reviewed repositories to scale this innovation globally.
DOI: 10.15468/dl.ssnbh5
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexatheca fulva",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 33 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017472-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbfykd
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenostephanus lobeliiformis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 44 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017473-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4j4jca
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kielmeyera regalis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 303 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017474-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/u8mwy9
title: Great Crested Newt Special Area of Conservation (SAC) Monitoring Data

description: Natural Resources Wales monitoring data for Great Crested Newts on Special Areas of Conservation (SACs) in Wales where Great Crested Newts (GCN) are a special feature. Includes records for other amphibians.
 
 Currently the monitoring covers three sites in North East Wales:
 1) Johnstown Newt Sites SAC 
 2) Deeside and Buckley Newt Sites SAC 
 3) Halkyn Mountain/Mynydd Helygain SAC 
 
The reports also include collations of historical records however, these are not included here as they are not owned by NRW and are therefore omitted from this published dataset.
DOI: 10.15468/dl.fzhvwb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jerdonia indica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017475-260208012135463/datasets/export for details.
DOI: 10.15468/dl.4ucpcg
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pavonia viscosa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 229 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017477-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdxmn5
title: Occurrence Download

description: A dataset containing 1964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aechmea nudicaulis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1964 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017478-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18212954
title: Research Data for Shifting Mindsets for Sustainable Development in Africa
title: Research Data Repository (Supplementary Materials)

description: This repository contains conceptual frameworks, mathematical formulations, illustrative simulation structures, figures, and methodological documentationsupporting the book "Shifting Mindsets for Sustainable Development in Africa: A Political Economy Perspective" (Cambridge Scholars Publishing, 2025).

The materials are interpretive and illustrative in nature and are intended to support theoretical clarification, policy discussion, teaching, and further academic research.