cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vpmcrfx3y8
title: Three Distinct Clinical Phenotypes of Immune Checkpoint Inhibitor-Induced Bullous Pemphigoid Predict Divergent Treatment Responses and Outcomes

description: Figure S1. Nodular-erosive type: Firm, dark brown to skin-colored nodules with characteristic surface ulcerations and crusting on the lower extremities.
Figure S2. Therapeutic approach distribution among ICI-BP subtypes
Stacked bars show the distribution of treatment strategies across ICI-BP phenotypes. The Bullous type was most commonly managed with systemic glucocorticoid (GC) monotherapy (80.0%). The Edematous erythema-bullous type more often used early combination therapy, including GC plus methotrexate (MTX) (55.6%) and GC plus MTX plus intravenous immunoglobulin (IVIG) (22.2%). The Nodular-erosive type showed an intermediate pattern, with GC monotherapy in 75.0% and GC plus MTX plus IVIG in 25.0%.
Abbreviations: ICI-BP, immune checkpoint inhibitor-induced bullous pemphigoid; EEB, Edematous erythema-bullous; GC, glucocorticoid; MTX, methotrexate; IVIG, intravenous immunoglobulin.
Figure S3. Initial steroid dose across phenotypes and disease groups.
(A) Mean initial inpatient methylprednisolone dose (highest single-day; mg) across groups: sBP (30 mg), Bullous type (30 mg), Edematous erythema-bullous type (48 mg), and Nodular-erosive type (43 mg).
(B) Comparison of mean initial inpatient methylprednisolone dose (highest single-day; mg) between ICI-BP and sBP. The Edematous erythema-bullous plus Nodular-erosive phenotypes used a higher mean initial dose than sBP (40 mg vs 30 mg; P = .045).
Abbreviations: ICI-BP, immune checkpoint inhibitor-induced bullous pemphigoid; sBP, spontaneous bullous pemphigoid; EEB, Edematous erythema-bullous.
DOI: 10.17632/vpmcrfx3y8.3
title: Three Distinct Clinical Phenotypes of Immune Checkpoint Inhibitor-Induced Bullous Pemphigoid Predict Divergent Treatment Responses and Outcomes

description: Figure S1. Nodular-erosive type: Firm, dark brown to skin-colored nodules with characteristic surface ulcerations and crusting on the lower extremities.
Figure S2. Therapeutic approach distribution among ICI-BP subtypes
Stacked bars show the distribution of treatment strategies across ICI-BP phenotypes. The Bullous type was most commonly managed with systemic glucocorticoid (GC) monotherapy (80.0%). The Edematous erythema-bullous type more often used early combination therapy, including GC plus methotrexate (MTX) (55.6%) and GC plus MTX plus intravenous immunoglobulin (IVIG) (22.2%). The Nodular-erosive type showed an intermediate pattern, with GC monotherapy in 75.0% and GC plus MTX plus IVIG in 25.0%.
Abbreviations: ICI-BP, immune checkpoint inhibitor-induced bullous pemphigoid; EEB, Edematous erythema-bullous; GC, glucocorticoid; MTX, methotrexate; IVIG, intravenous immunoglobulin.
Figure S3. Initial steroid dose across phenotypes and disease groups.
(A) Mean initial inpatient methylprednisolone dose (highest single-day; mg) across groups: sBP (30 mg), Bullous type (30 mg), Edematous erythema-bullous type (48 mg), and Nodular-erosive type (43 mg).
(B) Comparison of mean initial inpatient methylprednisolone dose (highest single-day; mg) between ICI-BP and sBP. The Edematous erythema-bullous plus Nodular-erosive phenotypes used a higher mean initial dose than sBP (40 mg vs 30 mg; P = .045).
Abbreviations: ICI-BP, immune checkpoint inhibitor-induced bullous pemphigoid; sBP, spontaneous bullous pemphigoid; EEB, Edematous erythema-bullous.
DOI: 10.17632/nvgw4xygdw
title: pika hill

description: This is the experimental data on the recovery succession of the pika mound.
DOI: 10.17632/nvgw4xygdw.1
title: pika hill

description: This is the experimental data on the recovery succession of the pika mound.
DOI: 10.23729/fd-57144945-b1ba-3964-842f-5c9ca1cc134a
title: SAFER RACEMAT Set 2 preview

description: Preview set for the second batch of samples CT imaged in SAFER RACEMAT. Samples are various concrete cores that are related to Loviisa LILW storage.

Collective preview entry at https://doi.org/10.23729/02e32287-d22e-455b-9913-4f0e2616d0a7

Preview of PAS dataset https://doi.org/10.23729/fd-1b4288a2-3cdc-3451-96ee-7642750ea970
DOI: 10.15468/dl.6e64sy
title: Occurrence Download

description: A dataset containing 13746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmothoe impar",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13746 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037582-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvxf45
title: Occurrence Download

description: A dataset containing 17320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Callosciurus prevostii, Callosciurus pygerythrus, Callosciurus quinquestriatus, Canis aureus, Canis lupus, Cannomys badius, Cansumys canus, Capreolus pygargus, Capricornis rubidus, Capricornis sumatraensis, Caprolagus hispidus, Caryomys eva, Caryomys inez, Cassistrellus dimissus, Catopuma temminckii, Cervus albirostris, Cervus nippon, Chaetocauda sichuanensis, Cheiromeles torquatus, Chiromyscus chiropus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 1999"
 ]
}

 The dataset includes 17320 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037580-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14650857
title: Hydrogeo Mompéo 2024 Mompéo
DOI: 10.5281/zenodo.14971655
title: Hydrogeo Mompéo 2024 Mompéo
DOI: 10.15468/dl.j3rfpu
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.249 -0.823817, 103.17873 -0.829383, 103.110189 -0.8459449999999999, 103.045065 -0.873095, 102.98496 -0.910164, 102.931355 -0.95624, 102.885569 -1.01019, 102.848729 -1.070684, 102.821743 -1.136233, 102.805275 -1.205225, 102.799732 -1.275961, 102.805251 -1.346698, 102.821697 -1.415695, 102.848666 -1.481253, 102.885494 -1.541758, 102.931277 -1.595719, 102.984886 -1.641808, 103.045001 -1.678888, 103.110143 -1.706046, 103.178705 -1.722613, 103.249 -1.728182, 103.319295 -1.722613, 103.387857 -1.706046, 103.452999 -1.678888, 103.513114 -1.641808, 103.566723 -1.595719, 103.612506 -1.541758, 103.649334 -1.481253, 103.676303 -1.415695, 103.692749 -1.346698, 103.698268 -1.275961, 103.692725 -1.205225, 103.676257 -1.136233, 103.649271 -1.070684, 103.612431 -1.01019, 103.566645 -0.95624, 103.51304 -0.910164, 103.452935 -0.873095, 103.387811 -0.8459449999999999, 103.31927 -0.829383, 103.249 -0.823817))"},{"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 50 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037584-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23729/02e32287-d22e-455b-9913-4f0e2616d0a7
title: SAFER RACEMAT preview

description: Collective preview dataset for all XCT data of SAFER RACEMAT project.

Set 1 preview: https://doi.org/10.23729/8b4107a8-fe16-4d4a-bfc0-cc8f7297660e
Set 1 PAS: https://doi.org/10.23729/ce913ed9-13a6-420c-96d3-ad86f5c062b9

Set 2 preview: https://doi.org/10.23729/fd-57144945-b1ba-3964-842f-5c9ca1cc134a
Set 2 PAS: https://doi.org/10.23729/fd-1b4288a2-3cdc-3451-96ee-7642750ea970
DOI: 10.17632/hmdr3dz3v6.3
title: Colocasia esculenta Leaf Image Dataset

description: Explore the Colocasia esculenta Leaf Image Dataset, a groundbreaking repository comprising a total of 40,347 meticulously curated images. This dataset showcases an extensive collection of both original and augmented images, presenting a holistic perspective on the health and diseases affecting Colocasia esculenta leaves.

The dataset is thoughtfully organized into categories, featuring images of both healthy leaves and those affected by diseases. Within the diseased category, the dataset further delves into specific folders dedicated to Leaf Blight and Mosaic conditions, allowing for a detailed examination of these prevalent issues in Colocasia esculenta plants.
DOI: 10.17632/nx9t4r5jpf
title: Compression Testing and Simulation Data

description: This data serves as supporting material for the modeling, compression testing, and simulation of porous bone scaffolds.
DOI: 10.17632/nx9t4r5jpf.1
title: Compression Testing and Simulation Data

description: This data serves as supporting material for the modeling, compression testing, and simulation of porous bone scaffolds.
DOI: 10.17632/2y96sxychj
title: Food, Affection and Gaze: Which Cues do Free-Ranging Dogs Consider for Engaging with Humans

description: Here, we assessed the value of different kinds of rewards on the motivation of free-ranging dogs to approach unfamiliar humans.
DOI: 10.17632/2y96sxychj.1
title: Food, Affection and Gaze: Which Cues do Free-Ranging Dogs Consider for Engaging with Humans

description: Here, we assessed the value of different kinds of rewards on the motivation of free-ranging dogs to approach unfamiliar humans.
DOI: 10.17632/2bctbzmdsd
title: The mediation of teachers in the integration of learning analytics and artificial intelligence in compulsory secondary education: evidence, strategies, and practices for the personalization of education / MedIAP

description: This database contains the responses of 982 secondary education students who participated in the MedIAP project. The research project aims to analyze the perceptions, knowledge, and uses of learning analytics (LA) and artificial intelligence (AI) for the personalization of learning in compulsory secondary education in Catalonia.
DOI: 10.17632/2bctbzmdsd.3
title: The mediation of teachers in the integration of learning analytics and artificial intelligence in compulsory secondary education: evidence, strategies, and practices for the personalization of education / MedIAP

description: This database contains the responses of 982 secondary education students who participated in the MedIAP project. The research project aims to analyze the perceptions, knowledge, and uses of learning analytics (LA) and artificial intelligence (AI) for the personalization of learning in compulsory secondary education in Catalonia.
DOI: 10.17632/h2m2n6cy25
title: Microstructural and Dynamic Mechanical Properties ofCompacted Loess Modified by Calcium Oxalate CrystalIs: Implications for Geotechnical Engineering in LoessRegions

description: Macro data
DOI: 10.17632/h2m2n6cy25.1
title: Microstructural and Dynamic Mechanical Properties ofCompacted Loess Modified by Calcium Oxalate CrystalIs: Implications for Geotechnical Engineering in LoessRegions

description: Macro data
DOI: 10.5281/zenodo.17603047
title: DRFT: A Corpus of Draft–Review–Final Triples for Modeling and Evaluating the Peer-Review Cycle

description:  



DRFT: Draft–Review–Final Triples Dataset

 




📌 Overview


DRFT (Draft–Review–Final Triples) is a curated dataset of 225 triplets that capture the peer-review cycle in scientific publishing.Each instance contains:



The initial draft (submission)

The peer reviews (concatenated comments and/or meta-review)

The final published version (arXiv)


The dataset is distributed as a single .csv file with standardized schema and evaluation signals.

 





📊 Key Features




225 aligned draft–review–final triplets (ICLR + PeerRead).

Two automatic metrics included:



BERTScore (draft ↔ final) – semantic preservation

G-Eval (review → final, GPT-5o-mini) – review uptake with justification



Compact, high-value benchmark for:



Review-conditioned edit planning

Evaluating automatic revisions vs. human finals

Analyzing review facets and revision magnitude





 



📝 Schema (Fields)


Each row in the .csv dataset contains:



base_text → Full text of the initial submission

review → Concatenated peer-review comments/meta-review

final_text → Final version (arXiv)

source → Data source (ICLR/OpenReview, PeerRead)

bertscore → Semantic similarity score (draft ↔ final)

g_eval_score → Review uptake score (1–10)

g_eval_justification → Short justification generated by GPT-5o-mini




 

📈 Corpus Statistics




Base text length (tokens): mean ≈ 4700

Final text length (tokens): mean ≈ 4600

BERTScore: mean ≈ 0.82

G-Eval: mean ≈ 8.31

Correlation: r ≈ –0.33 (complementarity between metrics)


                   



🔧 Usage


Typical research use cases include:



Review-conditioned edit planningGenerate structured edit plans based on review feedback.

Evaluating automatic revisionsBenchmark against human final versions using BERTScore + G-Eval.

Analyzing review facetsStudy how specific feedback drives textual changes.


 



📜 How to Load the Dataset


We provide a helper script drft_loader.py to make it easy to load the dataset into a pandas DataFrame.



Example:




from scripts.drft_loader import load_drft_dataset

# Load the dataset
df = load_drft_dataset("DRFT_dataset.csv")

# Explore
print(df.shape)
print(df.head())
DOI: 10.6084/m9.figshare.30316198.v3
title: Haplotype-resolved Chromosome-level Genome Assembly and Structural Annotation Files for <i>Rhus typhina</i>, an Ecologically and Horticulturally Important North American Sumac

description: Haplotype-resolved chromosome-level genome assembly and structural annotation files for <i>Rhus typhina</i>, including high-quality scaffolds and gene models generated from PacBio HiFi and Hi-C sequencing.
DOI: 10.15468/dl.4mwnrz
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmothoe ingolfiana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 69 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037586-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y776pp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sundamys maxi",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037585-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9ngze
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chironax melanocephalus, Chiropodomys gliroides, Chodsigoa caovansunga, Chodsigoa hypsibia, Chodsigoa lamula, Chodsigoa parca, Chodsigoa parva, Chodsigoa salenskii, Chodsigoa smithii, Chrotogale owstoni, Cnephaeus, Coelops frithii, Coelops robinsoni, Craseonycteris thonglongyai, Cricetulus longicaudatus, Crocidura annamitensis, Crocidura attenuata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 1999"
 ]
}

 The dataset includes 122 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037588-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17715862
title: One Spiro to Shift Them All: Tuning Fluorescent Organic Nanoparticles Emission via Steric Design
DOI: 10.15468/dl.9tp5gf
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.815 -0.819817, 103.74473 -0.825383, 103.676189 -0.8419450000000001, 103.611065 -0.869095, 103.550961 -0.906164, 103.497356 -0.95224, 103.451569 -1.00619, 103.41473 -1.066684, 103.387743 -1.132234, 103.371275 -1.201225, 103.365732 -1.271961, 103.371251 -1.342698, 103.387697 -1.411695, 103.414666 -1.477253, 103.451495 -1.537758, 103.497277 -1.59172, 103.550886 -1.637808, 103.611002 -1.674888, 103.676143 -1.702046, 103.744706 -1.718613, 103.815 -1.724182, 103.885294 -1.718613, 103.953857 -1.702046, 104.018998 -1.674888, 104.079114 -1.637808, 104.132723 -1.59172, 104.178505 -1.537758, 104.215334 -1.477253, 104.242303 -1.411695, 104.258749 -1.342698, 104.264268 -1.271961, 104.258725 -1.201225, 104.242257 -1.132234, 104.21527 -1.066684, 104.178431 -1.00619, 104.132644 -0.95224, 104.079039 -0.906164, 104.018935 -0.869095, 103.953811 -0.8419450000000001, 103.88527 -0.825383, 103.815 -0.819817))"},{"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 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037587-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/7eh1-8f25
title: Data from paper JOYS: BHR71-IRS1

description: JWST-MIRI MRS IFU observations to map emission lines and continuum, and jet properties of a Class 0 protostar BHR71-IRS1 and a background position.
DOI: 10.15468/dl.zuda84
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Physeter macrocephalus"
 ]
}

 The dataset's 1 records were derived from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037571-251120083545085/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.cc2jyxp3
title: CCDC 2352456: Experimental Crystal Structure Determination

description: Related Article: Pulakesh Gogoi, Govu Radha, Poonam Gupta, Nisha R. Ray, Himanshu Aggarwal, Naba K. Nath|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01062
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/ccdc.csd.cc2jyxq4
title: CCDC 2352457: Experimental Crystal Structure Determination

description: Related Article: Pulakesh Gogoi, Govu Radha, Poonam Gupta, Nisha R. Ray, Himanshu Aggarwal, Naba K. Nath|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01062
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/ccdc.csd.cc2jyxr5
title: CCDC 2352458: Experimental Crystal Structure Determination

description: Related Article: Pulakesh Gogoi, Govu Radha, Poonam Gupta, Nisha R. Ray, Himanshu Aggarwal, Naba K. Nath|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01062
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/ccdc.csd.cc2jyxs6
title: CCDC 2352459: Experimental Crystal Structure Determination

description: Related Article: Pulakesh Gogoi, Govu Radha, Poonam Gupta, Nisha R. Ray, Himanshu Aggarwal, Naba K. Nath|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01062
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/ccdc.csd.cc2jyxt7
title: CCDC 2352460: Experimental Crystal Structure Determination

description: Related Article: Pulakesh Gogoi, Govu Radha, Poonam Gupta, Nisha R. Ray, Himanshu Aggarwal, Naba K. Nath|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01062
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/ccdc.csd.cc2jzmtz
title: CCDC 2353142: Experimental Crystal Structure Determination

description: Related Article: Yongbin Zou, Huaqi Zhang, Xue Hao, Ruijun Wang, Guoran Cao, Junjie Wei, Yaxin Liu, Zhen Dong, Zhiwen Ye|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01312
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/ccdc.csd.cc2jzp3b
title: CCDC 2353182: Experimental Crystal Structure Determination

description: Related Article: Gabriella Morin, Christina McCabe, Douglas Turnbull, Victoria Pham-Tran, Marc-André Légaré|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c17878
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/ccdc.csd.cc2jzp4c
title: CCDC 2353183: Experimental Crystal Structure Determination

description: Related Article: Gabriella Morin, Christina McCabe, Douglas Turnbull, Victoria Pham-Tran, Marc-André Légaré|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c17878
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.17855017
title: GDC Ephemeris Rev. C
DOI: 10.5281/zenodo.17855018
title: GDC Ephemeris Rev. C