cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26182/5k7t-dd97
title: Seed development of subterranean clover to inform a swathing-based seed harvesting technique (data)
DOI: 10.15468/dl.e7gzq8
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neoperla coreensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 484 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001549-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5fx9d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.406 -2.533826, 103.335668 -2.539391, 103.267067 -2.555948, 103.201882 -2.583092, 103.141719 -2.620153, 103.088057 -2.66622, 103.042218 -2.72016, 103.00533 -2.780646, 102.978302 -2.846189, 102.961801 -2.915175, 102.956236 -2.985908, 102.961745 -3.056644, 102.978194 -3.125644, 103.005181 -3.191206, 103.042043 -3.251717, 103.087873 -3.305685, 103.141544 -3.351781, 103.201734 -3.388867, 103.266959 -3.416031, 103.335612 -3.432601, 103.406 -3.43817, 103.476388 -3.432601, 103.545041 -3.416031, 103.610266 -3.388867, 103.670456 -3.351781, 103.724127 -3.305685, 103.769957 -3.251717, 103.806819 -3.191206, 103.833806 -3.125644, 103.850255 -3.056644, 103.855764 -2.985908, 103.850199 -2.915175, 103.833698 -2.846189, 103.80667 -2.780646, 103.769782 -2.72016, 103.723943 -2.66622, 103.670281 -2.620153, 103.610118 -2.583092, 103.544933 -2.555948, 103.476332 -2.539391, 103.406 -2.533826))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001550-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18288130
title: SGUFT — Appendix W1 (DTOT-SPEC1) v1.1 — Single  𝐷 total Specification Freeze + Audit Packs (DOI-only)

description: This Zenodo record archives the W-series Appendix W1 (DTOT-SPEC1) deliverables for SGUFT. W1 freezes the object-level specification of a single DtotalD_{\text{total}}Dtotal: Hilbert-space decomposition, block-operator structure, equivalence relations (gauge/scale/canonicalization), and a canonical-hash deduplication audit with PASS/FAIL thresholds.Artifacts are provided as a three-pack delivery (evidence/only/summary) plus a DOI-only appendix document. Each pack contains manifest_sha256.json and audit.json for reproducibility. W1 is a specification layer: it does not execute the 2×4 regularization–truncation scan, but it exposes machine-readable interface fields for downstream inheritance by W2 (SACT), W3 (VARCLOSE), and W11 (INFOCLOSE). Upstream dependencies are declared DOI-only (V16/V17/V18/V19/V20).
DOI: 10.5281/zenodo.18288129
title: SGUFT — Appendix W1 (DTOT-SPEC1) v1.1 — Single  𝐷 total Specification Freeze + Audit Packs (DOI-only)

description: This Zenodo record archives the W-series Appendix W1 (DTOT-SPEC1) deliverables for SGUFT. W1 freezes the object-level specification of a single DtotalD_{\text{total}}Dtotal: Hilbert-space decomposition, block-operator structure, equivalence relations (gauge/scale/canonicalization), and a canonical-hash deduplication audit with PASS/FAIL thresholds.Artifacts are provided as a three-pack delivery (evidence/only/summary) plus a DOI-only appendix document. Each pack contains manifest_sha256.json and audit.json for reproducibility. W1 is a specification layer: it does not execute the 2×4 regularization–truncation scan, but it exposes machine-readable interface fields for downstream inheritance by W2 (SACT), W3 (VARCLOSE), and W11 (INFOCLOSE). Upstream dependencies are declared DOI-only (V16/V17/V18/V19/V20).
DOI: 10.57760/sciencedb.35701
title: Comparative Analysis of Subgenomic RNA Profiles across SARS-CoV-2 lineages in Hong Kong - Part 3
title: Comparative Analysis of Subgenomic RNA Profiles across SARS-CoV-2 lineages in Hong Kong - Part 3

description: This dataset comprises raw sequencing data from a large-scale genomic study of SARS-CoV-2 clinical samples collected in Hong Kong between 2020 and 2022. The study aimed to characterise lineage-specific expression profiles of subgenomic RNAs (sgRNAs), which are critical for viral replication and pathogenesis. Data cover major pandemic lineages, including 20A, 20B, Alpha, Delta, and Omicron subvariants (BA.1, BA.2, BA.4, BA.5, XBB).Samples were processed at a WHO reference laboratory at the University of Hong Kong. RNA was reverse-transcribed and amplified using ARTIC V4.1 primers and a set of in-house gene-specific primers. Libraries were sequenced on Novaseq or iSeq100 platforms. This dataset provides a fundamental resource for investigating the transcriptional dynamics of SARS-CoV-2 across variants, with particular relevance to sgRNA function, viral evolution, and comparative lineage studies. 
description: This dataset comprises raw sequencing data from a large-scale genomic study of SARS-CoV-2 clinical samples collected in Hong Kong between 2020 and 2022. The study aimed to characterise lineage-specific expression profiles of subgenomic RNAs (sgRNAs), which are critical for viral replication and pathogenesis. Data cover major pandemic lineages, including 20A, 20B, Alpha, Delta, and Omicron subvariants (BA.1, BA.2, BA.4, BA.5, XBB).Samples were processed at a WHO reference laboratory at the University of Hong Kong. RNA was reverse-transcribed and amplified using ARTIC V4.1 primers and a set of in-house gene-specific primers. Libraries were sequenced on Novaseq or iSeq100 platforms. This dataset provides a fundamental resource for investigating the transcriptional dynamics of SARS-CoV-2 across variants, with particular relevance to sgRNA function, viral evolution, and comparative lineage studies.
DOI: 10.57760/sciencedb.35700
title: Comparative Analysis of Subgenomic RNA Profiles across SARS-CoV-2 lineages in Hong Kong - Part 2
title: Comparative Analysis of Subgenomic RNA Profiles across SARS-CoV-2 lineages in Hong Kong - Part 2

description: This dataset comprises raw sequencing data from a large-scale genomic study of SARS-CoV-2 clinical samples collected in Hong Kong between 2020 and 2022. The study aimed to characterise lineage-specific expression profiles of subgenomic RNAs (sgRNAs), which are critical for viral replication and pathogenesis. Data cover major pandemic lineages, including 20A, 20B, Alpha, Delta, and Omicron subvariants (BA.1, BA.2, BA.4, BA.5, XBB).Samples were processed at a WHO reference laboratory at the University of Hong Kong. RNA was reverse-transcribed and amplified using ARTIC V4.1 primers and a set of in-house gene-specific primers. Libraries were sequenced on Novaseq or iSeq100 platforms. This dataset provides a fundamental resource for investigating the transcriptional dynamics of SARS-CoV-2 across variants, with particular relevance to sgRNA function, viral evolution, and comparative lineage studies. 
description: This dataset comprises raw sequencing data from a large-scale genomic study of SARS-CoV-2 clinical samples collected in Hong Kong between 2020 and 2022. The study aimed to characterise lineage-specific expression profiles of subgenomic RNAs (sgRNAs), which are critical for viral replication and pathogenesis. Data cover major pandemic lineages, including 20A, 20B, Alpha, Delta, and Omicron subvariants (BA.1, BA.2, BA.4, BA.5, XBB).Samples were processed at a WHO reference laboratory at the University of Hong Kong. RNA was reverse-transcribed and amplified using ARTIC V4.1 primers and a set of in-house gene-specific primers. Libraries were sequenced on Novaseq or iSeq100 platforms. This dataset provides a fundamental resource for investigating the transcriptional dynamics of SARS-CoV-2 across variants, with particular relevance to sgRNA function, viral evolution, and comparative lineage studies.
DOI: 10.57760/sciencedb.35705
title: Comparative Analysis of Subgenomic RNA Profiles across SARS-CoV-2 lineages in Hong Kong - Part 6
title: Comparative Analysis of Subgenomic RNA Profiles across SARS-CoV-2 lineages in Hong Kong - Part 6

description: This dataset comprises raw sequencing data from a large-scale genomic study of SARS-CoV-2 clinical samples collected in Hong Kong between 2020 and 2022. The study aimed to characterise lineage-specific expression profiles of subgenomic RNAs (sgRNAs), which are critical for viral replication and pathogenesis. Data cover major pandemic lineages, including 20A, 20B, Alpha, Delta, and Omicron subvariants (BA.1, BA.2, BA.4, BA.5, XBB).Samples were processed at a WHO reference laboratory at the University of Hong Kong. RNA was reverse-transcribed and amplified using ARTIC V4.1 primers and a set of in-house gene-specific primers. Libraries were sequenced on Novaseq or iSeq100 platforms. This dataset provides a fundamental resource for investigating the transcriptional dynamics of SARS-CoV-2 across variants, with particular relevance to sgRNA function, viral evolution, and comparative lineage studies. 
description: This dataset comprises raw sequencing data from a large-scale genomic study of SARS-CoV-2 clinical samples collected in Hong Kong between 2020 and 2022. The study aimed to characterise lineage-specific expression profiles of subgenomic RNAs (sgRNAs), which are critical for viral replication and pathogenesis. Data cover major pandemic lineages, including 20A, 20B, Alpha, Delta, and Omicron subvariants (BA.1, BA.2, BA.4, BA.5, XBB).Samples were processed at a WHO reference laboratory at the University of Hong Kong. RNA was reverse-transcribed and amplified using ARTIC V4.1 primers and a set of in-house gene-specific primers. Libraries were sequenced on Novaseq or iSeq100 platforms. This dataset provides a fundamental resource for investigating the transcriptional dynamics of SARS-CoV-2 across variants, with particular relevance to sgRNA function, viral evolution, and comparative lineage studies.
DOI: 10.57760/sciencedb.35695
title: Comparative Analysis of Subgenomic RNA Profiles across SARS-CoV-2 lineages in Hong Kong - Part 1
title: Comparative Analysis of Subgenomic RNA Profiles across SARS-CoV-2 lineages in Hong Kong - Part 1

description: This dataset comprises raw sequencing data from a large-scale genomic study of SARS-CoV-2 clinical samples collected in Hong Kong between 2020 and 2022. The study aimed to characterise lineage-specific expression profiles of subgenomic RNAs (sgRNAs), which are critical for viral replication and pathogenesis. Data cover major pandemic lineages, including 20A, 20B, Alpha, Delta, and Omicron subvariants (BA.1, BA.2, BA.4, BA.5, XBB).Samples were processed at a WHO reference laboratory at the University of Hong Kong. RNA was reverse-transcribed and amplified using ARTIC V4.1 primers and a set of in-house gene-specific primers. Libraries were sequenced on Novaseq or iSeq100 platforms. This dataset provides a fundamental resource for investigating the transcriptional dynamics of SARS-CoV-2 across variants, with particular relevance to sgRNA function, viral evolution, and comparative lineage studies. 
description: This dataset comprises raw sequencing data from a large-scale genomic study of SARS-CoV-2 clinical samples collected in Hong Kong between 2020 and 2022. The study aimed to characterise lineage-specific expression profiles of subgenomic RNAs (sgRNAs), which are critical for viral replication and pathogenesis. Data cover major pandemic lineages, including 20A, 20B, Alpha, Delta, and Omicron subvariants (BA.1, BA.2, BA.4, BA.5, XBB).Samples were processed at a WHO reference laboratory at the University of Hong Kong. RNA was reverse-transcribed and amplified using ARTIC V4.1 primers and a set of in-house gene-specific primers. Libraries were sequenced on Novaseq or iSeq100 platforms. This dataset provides a fundamental resource for investigating the transcriptional dynamics of SARS-CoV-2 across variants, with particular relevance to sgRNA function, viral evolution, and comparative lineage studies.
DOI: 10.57760/sciencedb.35706
title: Comparative Analysis of Subgenomic RNA Profiles across SARS-CoV-2 lineages in Hong Kong - Part 7
title: Comparative Analysis of Subgenomic RNA Profiles across SARS-CoV-2 lineages in Hong Kong - Part 7

description: This dataset comprises raw sequencing data from a large-scale genomic study of SARS-CoV-2 clinical samples collected in Hong Kong between 2020 and 2022. The study aimed to characterise lineage-specific expression profiles of subgenomic RNAs (sgRNAs), which are critical for viral replication and pathogenesis. Data cover major pandemic lineages, including 20A, 20B, Alpha, Delta, and Omicron subvariants (BA.1, BA.2, BA.4, BA.5, XBB).Samples were processed at a WHO reference laboratory at the University of Hong Kong. RNA was reverse-transcribed and amplified using ARTIC V4.1 primers and a set of in-house gene-specific primers. Libraries were sequenced on Novaseq or iSeq100 platforms. This dataset provides a fundamental resource for investigating the transcriptional dynamics of SARS-CoV-2 across variants, with particular relevance to sgRNA function, viral evolution, and comparative lineage studies. 
description: This dataset comprises raw sequencing data from a large-scale genomic study of SARS-CoV-2 clinical samples collected in Hong Kong between 2020 and 2022. The study aimed to characterise lineage-specific expression profiles of subgenomic RNAs (sgRNAs), which are critical for viral replication and pathogenesis. Data cover major pandemic lineages, including 20A, 20B, Alpha, Delta, and Omicron subvariants (BA.1, BA.2, BA.4, BA.5, XBB).Samples were processed at a WHO reference laboratory at the University of Hong Kong. RNA was reverse-transcribed and amplified using ARTIC V4.1 primers and a set of in-house gene-specific primers. Libraries were sequenced on Novaseq or iSeq100 platforms. This dataset provides a fundamental resource for investigating the transcriptional dynamics of SARS-CoV-2 across variants, with particular relevance to sgRNA function, viral evolution, and comparative lineage studies.
DOI: 10.5281/zenodo.18308171
title: Sedum oaxacanum Rose. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308170
title: Sedum oaxacanum Rose. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.jna756
title: Occurrence Download

description: A dataset containing 557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pedicularis foliosa, Pedicularis foliosa, Pedicularis foliosa, Pedicularis foliosa)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 557 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001551-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18308125
title: 1 IN CLASS NOTES

description: Mechanism Naming: Compliance-First, Outcome-Optional Systems

Core Concept

A socio-technical systems accountability engineer learns to read lived experience as system evidence, not personal narrative.

This is done in three analytical layers.
DOI: 10.5281/zenodo.18308126
title: 1 IN CLASS NOTES

description: Mechanism Naming: Compliance-First, Outcome-Optional Systems

Core Concept

A socio-technical systems accountability engineer learns to read lived experience as system evidence, not personal narrative.

This is done in three analytical layers.
DOI: 10.15468/dl.u7pq3r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.507 -2.528826, 101.436669 -2.534391, 101.368067 -2.550948, 101.302883 -2.578092, 101.24272 -2.615153, 101.189059 -2.66122, 101.143219 -2.71516, 101.106332 -2.775646, 101.079304 -2.841189, 101.062803 -2.910175, 101.057238 -2.980908, 101.062747 -3.051645, 101.079196 -3.120644, 101.106183 -3.186207, 101.143045 -3.246717, 101.188875 -3.300685, 101.242546 -3.346781, 101.302735 -3.383867, 101.367959 -3.411031, 101.436612 -3.427601, 101.507 -3.433171, 101.577388 -3.427601, 101.646041 -3.411031, 101.711265 -3.383867, 101.771454 -3.346781, 101.825125 -3.300685, 101.870955 -3.246717, 101.907817 -3.186207, 101.934804 -3.120644, 101.951253 -3.051645, 101.956762 -2.980908, 101.951197 -2.910175, 101.934696 -2.841189, 101.907668 -2.775646, 101.870781 -2.71516, 101.824941 -2.66122, 101.77128 -2.615153, 101.711117 -2.578092, 101.645933 -2.550948, 101.577331 -2.534391, 101.507 -2.528826))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001552-260119153935675/datasets/export for details.
DOI: 10.15468/dl.hufy48
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alloperla rostellata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001554-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztuur4
title: Occurrence Download

description: A dataset listing the 4643 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "GadmGid is VNM",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2023-2026"
 ]
}

 The dataset's 4643 records were derived from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001541-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18121206
title: Supporting Data for Lorincz-Comi et al. (2025) Nature Communications
DOI: 10.5281/zenodo.17449929
title: Supporting Data for Lorincz-Comi et al. (2025) Nature Communications
DOI: 10.15468/dl.9qp2t9
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruppia rostellata"
 ]
}

 The dataset includes 393 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001553-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18308179
title: Seguieria Loefl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308180
title: Seguieria Loefl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.249pdq
title: Occurrence Download

description: A dataset containing 13305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.5.33_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Halictidae, Megachilidae, Andrenidae)"
 ]
}

 The dataset includes 13305 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001555-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfa4ts
title: Occurrence Download

description: A dataset containing 544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pedicularis palustris)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 544 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001557-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2lctjb
title: CCDC 2394642: Experimental Crystal Structure Determination

description: Related Article: Hafiz Zeshan Aqil|2024|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: 10.5281/zenodo.18308185
title: Seguieria aculeata Jacq. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308184
title: Seguieria aculeata Jacq. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54