cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc7kysh
title: CCDC 225797: Experimental Crystal Structure Determination

description: Related Article: P.N.M.Botman, J.Fraanje, K.Goubitz, R.Peschar, J.W.Verhoeven, J.H.van Maarseveen, H.Hiemstra|2004|Adv.Synth.Catal.|346|743|doi:10.1002/adsc.200303241
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: 10.5517/cc85wkv
title: CCDC 243987: Experimental Crystal Structure Determination

description: Related Article: B.Venkataramanan, Wong Ling Guan James, J.J.Vittal, V.Suresh|2004|Cryst.Growth Des.|4|553|doi:10.1021/cg0341508
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: 10.5517/cc7c9tp
title: CCDC 219412: Experimental Crystal Structure Determination

description: Related Article: D.Nikolova, C.von Hanisch, A.Adolf|2004|Eur.J.Inorg.Chem.|2004|2321|doi:10.1002/ejic.200300744
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: 10.5517/cc7c9vq
title: CCDC 219413: Experimental Crystal Structure Determination

description: Related Article: D.Nikolova, C.von Hanisch, A.Adolf|2004|Eur.J.Inorg.Chem.|2004|2321|doi:10.1002/ejic.200300744
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: 10.5517/cc7c9wr
title: CCDC 219414: Experimental Crystal Structure Determination

description: Related Article: D.Nikolova, C.von Hanisch, A.Adolf|2004|Eur.J.Inorg.Chem.|2004|2321|doi:10.1002/ejic.200300744
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: 10.5517/cc7c9xs
title: CCDC 219415: Experimental Crystal Structure Determination

description: Related Article: D.Nikolova, C.von Hanisch, A.Adolf|2004|Eur.J.Inorg.Chem.|2004|2321|doi:10.1002/ejic.200300744
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: 10.5517/cc7c9yt
title: CCDC 219416: Experimental Crystal Structure Determination

description: Related Article: D.Nikolova, C.von Hanisch, A.Adolf|2004|Eur.J.Inorg.Chem.|2004|2321|doi:10.1002/ejic.200300744
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: 10.5517/cc7f6jc
title: CCDC 221232: Experimental Crystal Structure Determination

description: Related Article: C.Bartolome, P.Espinet, J.M.Martin-Alvarez, F.Villafane|2004|Eur.J.Inorg.Chem.|2004|2326|doi:10.1002/ejic.200300756
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: 10.5517/cc7f6kd
title: CCDC 221233: Experimental Crystal Structure Determination

description: Related Article: C.Bartolome, P.Espinet, J.M.Martin-Alvarez, F.Villafane|2004|Eur.J.Inorg.Chem.|2004|2326|doi:10.1002/ejic.200300756
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.aw52az
title: Occurrence Download

description: A dataset containing 2621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Ternstroemia Mutis ex L.f.",
 "MediaType is not null"
 ]
}

 The dataset includes 2621 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019874-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc7f6lf
title: CCDC 221234: Experimental Crystal Structure Determination

description: Related Article: C.Bartolome, P.Espinet, J.M.Martin-Alvarez, F.Villafane|2004|Eur.J.Inorg.Chem.|2004|2326|doi:10.1002/ejic.200300756
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: 10.5517/cc7gbrr
title: CCDC 222324: Experimental Crystal Structure Determination

description: Related Article: M.Carbo, L.R.Falvello, R.Navarro, T.Soler, E.P.Urriolabeitia|2004|Eur.J.Inorg.Chem.|2004|2338|doi:10.1002/ejic.200300801
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: 10.5517/cc7gbss
title: CCDC 222325: Experimental Crystal Structure Determination

description: Related Article: M.Carbo, L.R.Falvello, R.Navarro, T.Soler, E.P.Urriolabeitia|2004|Eur.J.Inorg.Chem.|2004|2338|doi:10.1002/ejic.200300801
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: 10.5517/cc7gbtt
title: CCDC 222326: Experimental Crystal Structure Determination

description: Related Article: M.Carbo, L.R.Falvello, R.Navarro, T.Soler, E.P.Urriolabeitia|2004|Eur.J.Inorg.Chem.|2004|2338|doi:10.1002/ejic.200300801
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: 10.5517/cc5q534
title: CCDC 170255: Experimental Crystal Structure Determination

description: Related Article: T.Glaser, T.Lugger, R.-D.Hoffmann|2004|Eur.J.Inorg.Chem.|2004|2356|doi:10.1002/ejic.200300575
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: 10.5517/cc6x9yb
title: CCDC 205962: Experimental Crystal Structure Determination

description: Related Article: M.C.Aragoni, M.Arca, F.Demartin, F.A.Devillanova, A.Garau, P.Grimaldi, F.Isaia, F.Lelj, V.Lippolis, G.Verani|2004|Eur.J.Inorg.Chem.|2004|2363|doi:10.1002/ejic.200300762
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.6bqtyg
title: Occurrence Download

description: A dataset listing the 1030 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((134.84208 -6.08928,135.00937 -5.53847,134.32188 -5.49155,134.05871 -6.03012,134.84208 -6.08928))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1030 records were derived from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087300-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gz9hwc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aplozia pumila)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025926-260208012135463/datasets/export for details.
DOI: 10.15468/dl.ybj6nn
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Bougainvillea peruviana"
 ]
}

 The dataset includes 25 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025924-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18359130
title: Alexandria Aeternum: A Provenance-Verified Semantic Dataset for AI Training

description: Alexandria Aeternum is a curated corpus of 10,097 museum-verified artworks from the Metropolitan Museum of Art Open Access Initiative, enriched with AI-generated semantic metadata following the Golden Codex standard.
Contents

Full dataset with images: The complete dataset including high-resolution images is available on HuggingFace: huggingface.co/datasets/Metavolve-Labs/alexandria-aeternum-10k
alexandria_aeternum_10k.parquet (14MB) - Structured metadata only for ML pipelines
Each artwork includes 50+ metadata fields:

Visual Analysis: Composition, color harmony, technique mastery, light/shadow, spatial depth
Emotional Mapping: Primary/secondary emotions, viewer transformation, mood, narrative arc
Poetic Interpretation: Mythological resonance, eternal voice, symbolic depth
Cultural Context: Historical significance, style, period, medium
Provenance Verification: SHA-256 soulmark hash, C2PA compatibility
Embedded Metadata (PEST Framework)
Every image contains its own soul. The full Golden Codex metadata is embedded directly into each JPG file using XMP (ISO 16684-1). This means the provenance and semantic context travel WITH the image—surviving downloads, shares, and re-uploads.
To extract the embedded metadata from any image:
pip install golden-codex-reader

from golden_codex_reader import extract_codex
metadata = extract_codex("image.jpg")
print(metadata["poetic_interpretation"]["eternal_voice"])
See the Golden Codex Reader SDK for full documentation.
Purpose
Designed for AI training with built-in provenance verification, this dataset demonstrates the Human-AI Hybrid Curation paradigm: human-originated artifacts (preserving entropy) enriched with AI-generated semantic scaffolding (providing density) to create Super-Ground Truth training data.
Related Resources

Hugging Face Dataset
Interactive Explorer
Verification SDK
description: This dataset accompanies the research paper The Entropy of Recursion: A Strategic Framework for Provenance-Verified Data and the Preservation of Cognitive Integrity in Generative Systems (MacPherson, 2026).
DOI: 10.5281/zenodo.18359131
title: Alexandria Aeternum: A Provenance-Verified Semantic Dataset for AI Training

description: Alexandria Aeternum is a curated corpus of 10,097 museum-verified artworks from the Metropolitan Museum of Art Open Access Initiative, enriched with AI-generated semantic metadata following the Golden Codex standard.
Contents

Full dataset with images: The complete dataset including high-resolution images is available on HuggingFace: huggingface.co/datasets/Metavolve-Labs/alexandria-aeternum-10k
alexandria_aeternum_10k.parquet (14MB) - Structured metadata only for ML pipelines
Each artwork includes 50+ metadata fields:

Visual Analysis: Composition, color harmony, technique mastery, light/shadow, spatial depth
Emotional Mapping: Primary/secondary emotions, viewer transformation, mood, narrative arc
Poetic Interpretation: Mythological resonance, eternal voice, symbolic depth
Cultural Context: Historical significance, style, period, medium
Provenance Verification: SHA-256 soulmark hash, C2PA compatibility
Embedded Metadata (PEST Framework)
Every image contains its own soul. The full Golden Codex metadata is embedded directly into each JPG file using XMP (ISO 16684-1). This means the provenance and semantic context travel WITH the image—surviving downloads, shares, and re-uploads.
To extract the embedded metadata from any image:
pip install golden-codex-reader

from golden_codex_reader import extract_codex
metadata = extract_codex("image.jpg")
print(metadata["poetic_interpretation"]["eternal_voice"])
See the Golden Codex Reader SDK for full documentation.
Purpose
Designed for AI training with built-in provenance verification, this dataset demonstrates the Human-AI Hybrid Curation paradigm: human-originated artifacts (preserving entropy) enriched with AI-generated semantic scaffolding (providing density) to create Super-Ground Truth training data.
Related Resources

Hugging Face Dataset
Interactive Explorer
Verification SDK
description: This dataset accompanies the research paper The Entropy of Recursion: A Strategic Framework for Provenance-Verified Data and the Preservation of Cognitive Integrity in Generative Systems (MacPherson, 2026).
DOI: 10.15156/bio/sh1804371.10fu
title: SH1804371.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1804398.10fu
title: SH1804398.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1804400.10fu
title: SH1804400.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17605/osf.io/cbxqw
title: NSFG Survey Weights Adjusted for Abortion Underreporting

description: Survey weights for the National Survey of Family Growth (NSFG) adjusted for abortion underreporting using iterative proportional fitting (raking) to match external totals from National Vital Statistics and the Guttmacher Institute's Abortion Provider Census. Covers Cycle 3 (1982) through 2015–2019, with analysis periods providing continuous coverage from 1974 to 2014. Includes replicate weights for variance estimation.
DOI: 10.15156/bio/sh1804407.10fu
title: SH1804407.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1804412.10fu
title: SH1804412.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1804413.10fu
title: SH1804413.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.