cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ij8dyf
title: Occurrence Download

description: A dataset containing 433 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Guadeloupe_Ignames"
 ]
}

 The dataset includes 433 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025055-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyx4du
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.94672 -32.75848,-72.13898 -34.62067,-69.90875 -34.78546,-69.78241 -32.7475,-71.94672 -32.75848))",
 "HasCoordinate is true",
 "TaxonKey is Quillaja saponaria Molina",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 289 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046619-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbso55
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gonatodes caudiscutatus (Günther, 1859)",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-94.21 -2.63,-94.21 1.75,-87.32 1.75,-87.32 -2.63,-94.21 -2.63))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083178-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcke3m
title: Occurrence Download

description: A dataset containing 6104 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Guadeloupe_Insectes"
 ]
}

 The dataset includes 6104 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025056-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewpyqj
title: Occurrence Download

description: A dataset containing 502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Psarisomus dalhousiae (Jameson, 1835)",
 "Year 2000-2024"
 ]
}

 The dataset includes 502 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055667-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q878ra
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arenga westerhoutii Griff."
 ]
}

 The dataset includes 131 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198317-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bllwht
title: Occurrence Download

description: A dataset containing 563381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Pittosporum Gaertn.",
 "TaxonKey is Homalium Jacq.",
 "TaxonKey is Vochysia Aubl.",
 "TaxonKey is Endiandra R.Br.",
 "TaxonKey is Coccoloba P.Browne",
 "TaxonKey is Melicope J.R.Forst. & G.Forst.",
 "TaxonKey is Protium Burm.f.",
 "TaxonKey is Palaquium Blanco",
 "TaxonKey is Meliosma Blume",
 "TaxonKey is Byrsonima Rich. ex Kunth",
 "TaxonKey is Timonius Rumph. ex DC.",
 "TaxonKey is Senna Mill.",
 "TaxonKey is Coussarea Aubl.",
 "TaxonKey is Cleistanthus Hook.f. ex Planch.",
 "TaxonKey is Madhuca Buch.-Ham. ex J.F.Gmel.",
 "TaxonKey is Bursera Jacq. ex L.",
 "TaxonKey is Rinorea Aubl.",
 "TaxonKey is Pavetta L.",
 "TaxonKey is Bauhinia Plum. ex L.",
 "TaxonKey is Persea Mill.",
 "TaxonKey is Camellia L.",
 "TaxonKey is Tabernaemontana Plum. ex L.",
 "TaxonKey is Hopea Roxb.",
 "TaxonKey is Xanthophyllum Roxb.",
 "TaxonKey is Trichilia P.Browne",
 "TaxonKey is Dypsis Noronha ex Mart."
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 563381 records from 1047 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007462-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnyvut
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires et suivis sites \"Espaces Naturels Sensibles\" gérés par le Conseil Départemental des Landes-Inventaire \"Espaces Naturels Sensibles\" du Plata (SORE)"
 ]
}

 The dataset includes 54 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025087-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztnnb5
title: Occurrence Download

description: A dataset containing 5116 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caracterización de la avifauna de las cuencas de los Ríos Cañas (Dibulla–Guajira), Garupal (Valledupar–Cesar), Arroyo Grande (San Juan Nepomuceno–Bolívar), Aipe (Huila), Yaví (Tolima), Dagua (Valle del Cauca) como insumo para la identificación de oportunidades de conservación y de recuperación de servicios ecosistémicos del bosque seco."
 ]
}

 The dataset includes 5116 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083189-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rvxco
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balanophora involucrata Hook.fil.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 88 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037031-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud8b7q
title: Occurrence Download

description: A dataset containing 650353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orthoptera"
 ]
}

 The dataset includes 650353 records from 378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055665-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9m1mm7
title: Occurrence Download

description: A dataset containing 18407 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaire de la flore de Charente-Maritime 2012-2020 - Inventaire de la flore de Charente-Maritime 2015"
 ]
}

 The dataset includes 18407 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025121-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4j4bi
title: Occurrence Download

description: A dataset containing 527 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabis blepharophylla Hook. & Arn."
 ]
}

 The dataset includes 527 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009384-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99a9af
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((142.24167 -37.57403,142.70977 -37.57403,142.70977 -36.86353,142.24167 -36.86353,142.24167 -37.57403))",
 "TaxonKey is Euphrasia collina subsp. trichocalycina (Gand.) W.R.Barker"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007075-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w422fy
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((142.27878 -37.57833,142.73186 -37.57833,142.73186 -37.18213,142.27878 -37.18213,142.27878 -37.57833))",
 "TaxonKey is Euryomyrtus ramosissima subsp. prostrata (Hook.fil.) Trudgen"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007076-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13146387
title: Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
DOI: 10.5281/zenodo.13208014
title: Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

description: For each dataset, we have a folder that contains process.py, heatmap.py, ira_sample.py. The folder also contains the relevant datasets and plots.

Commands for datasets (Except Code Summarization):

Generating samples for different models:

python process.py --model gpt-4 --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model gpt-3.5-turbo --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model llama3--fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --model mixtral --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model claude --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --model gemini --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

 

For Figure (1-5):

python heatmap.py

For Figure (7-10):

python ira_sample.py

 

 

Commands for datasets (Code Summarization):

 

python process.py --what accurate --model gpt-4 --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model gpt-3.5-turbo --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model llama3--fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --what accurate --model mixtral --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model claude --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --what accurate --model gemini --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

 

For Figure (1-5):

python heatmap.py

For Figure (7-10):

python ira_sample.py

What="accurate", "adequate", "concise", "similarity"
DOI: 10.5281/zenodo.13208041
title: Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

description: For each dataset, we have a folder that contains process.py, heatmap.py, ira_sample.py. The folder also contains the relevant datasets and plots.

Commands for datasets (Except Code Summarization):

Generating samples for different models:

python process.py --model gpt-4 --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model gpt-3.5-turbo --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model llama3--fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --model mixtral --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model claude --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --model gemini --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

 

For Figure (1-5):

python heatmap.py

For Figure (7-10):

python ira_sample.py

 

 

Commands for datasets (Code Summarization):

 

python process.py --what accurate --model gpt-4 --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model gpt-3.5-turbo --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model llama3--fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --what accurate --model mixtral --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model claude --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --what accurate --model gemini --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

 

For Figure (1-5):

python heatmap.py

For Figure (7-10):

python ira_sample.py

What="accurate", "adequate", "concise", "similarity"
DOI: 10.5281/zenodo.13208044
title: Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

description: For each dataset, we have a folder that contains process.py, heatmap.py, ira_sample.py. The folder also contains the relevant datasets and plots.

Commands for datasets (Except Code Summarization):

Generating samples for different models:

python process.py --model gpt-4 --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model gpt-3.5-turbo --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model llama3--fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --model mixtral --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model claude --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --model gemini --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

 

For Figure (1-5):

python heatmap.py

For Figure (7-10):

python ira_sample.py

 

 

Commands for datasets (Code Summarization):

 

python process.py --what accurate --model gpt-4 --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model gpt-3.5-turbo --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model llama3--fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --what accurate --model mixtral --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model claude --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --what accurate --model gemini --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

 

For Figure (1-5):

python heatmap.py

For Figure (7-10):

python ira_sample.py

What="accurate", "adequate", "concise", "similarity"
DOI: 10.5281/zenodo.13208051
title: Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

description: For each dataset, we have a folder that contains process.py, heatmap.py, ira_sample.py. The folder also contains the relevant datasets and plots.

Commands for datasets (Except Code Summarization):

Generating samples for different models:

python process.py --model gpt-4 --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model gpt-3.5-turbo --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model llama3--fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --model mixtral --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --model claude --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --model gemini --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

 

For Figure (1-5):

python heatmap.py

For Figure (7-10):

python ira_sample.py

 

 

Commands for datasets (Code Summarization):

 

python process.py --what accurate --model gpt-4 --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model gpt-3.5-turbo --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model llama3--fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --what accurate --model mixtral --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

python process.py --what accurate --model claude --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx 

python process.py --what accurate --model gemini --fewshot yes --openai_key xxxx --together_key xxxx --claude_key xxxx --google_key xxxx

 

For Figure (1-5):

python heatmap.py

For Figure (7-10):

python ira_sample.py

What="accurate", "adequate", "concise", "similarity"
DOI: 10.15468/dl.68xv7p
title: Occurrence Download

description: A dataset containing 605515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is one of (Acer platanoides L., Adelges tsugae Annand, 1924, Agrilus planipennis Fairmaire, 1888, Alliaria petiolata (M.Bieb.) Cavara & Grande, Channa argus (Cantor, 1842), Crocodylus niloticus Laurenti, 1768, Dreissena polymorpha (Pallas, 1771), Faxonius rusticus (Girard, 1852), Frangula alnus Mill., Heracleum mantegazzianum Sommier & Levier, Heracleum sphondylium L., Hydrocharis morsus-ranae L., Impatiens glandulifera Royle, Kali tragus (L.) Scop., Lissachatina fulica (Bowdich, 1822), Lycorma delicatula (White, 1845), Myriophyllum spicatum L., Phragmites australis subsp. australis, Potamogeton crispus L., Pterois volitans (Linnaeus, 1758), Pueraria lobata (Willd.) Ohwi, Python bivittatus Kuhl, 1820, Reynoutria japonica Houtt., Reynoutria sachalinensis (F.Schmidt) Nakai, Reynoutria ×bohemica Chrtek & Chrtková, Rhamnus cathartica L., Rhinella marina (Linnaeus, 1758), Stratiotes aloides L., Trapa natans L., Vincetoxicum nigrum (L.) Moench, Vincetoxicum rossicum (Kleopow) Barbar.)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 605515 records from 583 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006962-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/vra7ag
title: #blogvsbook tweets

description: :unav
DOI: 10.15468/dl.2g7k5s
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((141.82421 -36.94555,141.84572 -36.94555,141.84572 -36.88638,141.82421 -36.88638,141.82421 -36.94555))",
 "Geometry POLYGON((141.75697 -37.76585,142.85698 -37.76585,142.85698 -36.77611,141.75697 -36.77611,141.75697 -37.76585))"
 ]
 },
 "TaxonKey is Galium leiocarpum I.Thomps."
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007077-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2yn5h
title: Occurrence Download

description: A dataset containing 9423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Dryophytes eximius (Baird, 1854), Hyla eximia Baird, 1854)"
 ]
}

 The dataset includes 9423 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007078-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxsgdu
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((142.30455 -37.54418,142.66329 -37.54418,142.66329 -37.08484,142.30455 -37.08484,142.30455 -37.54418))",
 "TaxonKey is Gastrodia procera G.W.Carr"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007079-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.12757/bbk.bopf2024q1.01
title: Bundesbank Online Panel - Firms (BOP-F)

description: Self-administered questionnaire: Web-based
description: The sample for the survey is drawn from the universe of firms based in Germany with a taxable turnover of more than €22,000 or at least one employer subject to social security contributions which includes roughly 1 million firms.
description: The drawing is a proportional random sample according to industry, region and size class, so that the selection probability is equal for all firms.
DOI: 10.15468/dl.8sd3cc
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((141.97417 -37.78535,142.71724 -37.78535,142.71724 -36.8021,141.97417 -36.8021,141.97417 -37.78535))",
 "TaxonKey is Gleichenia dicarpa R.Br."
 ]
}

 The dataset includes 53 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007080-241007104925546/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.cc2hq0py
title: CCDC 2315070: Experimental Crystal Structure Determination

description: Related Article: Aashna Perwin, Nasreen Mazumdar |2024|J. Polym. Environ.|32|5046|doi:10.1007/s10924-024-03301-w
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.cc2hq0qz
title: CCDC 2315071: Experimental Crystal Structure Determination

description: Related Article: Aashna Perwin, Nasreen Mazumdar |2024|J. Polym. Environ.|32|5046|doi:10.1007/s10924-024-03301-w
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.