cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e7t2dt
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya distichophylla"
 ]
}

 The dataset includes 366 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013373-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a96zxj
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hopea ferrea"
 ]
}

 The dataset includes 162 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013375-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18263924
title: Characterization of the main strains of the ARC inoculant via machine learning-assisted single‐cell Raman spectroscopy

description: Description of the data and file structure

* Ramanome dataset of the ARC inoculant, first edited by Jie Kang  on January 16, 2026.

File: Ramanome_dataset_of_the_ARC_inoculant_-Kang-_2025.zip

Description: 

Folder Batch 1~4: Generally, for each strain (i.e. Bacillus amyloliquefaciens, Brevibacillus laterosporu, Bacillus mucilaginosus, Enterobacter ludwigii), over 5,000 spectra were collected per batch, with a total of three independent batches measured (i.e. Batch 1~3) to minimize acquisition errors. In total, we constructed a single-cell Raman spectral dataset comprising over 63,000 spectra for the four strains. One more independent validation dataset for the four strains (i.e. Batch 4) was collected using the same methodology to assess  model performance. 

Folder Bacillus amyloliquefaciens (XXXX spectra): Ramanome dataset of the strain Bacillus amyloliquefaciens, which contains XXXX spectra.

Folder Brevibacillus laterosporu (XXXX spectra): Ramanome dataset of the strain Brevibacillus laterosporu, which contains XXXX spectra.

Folder Bacillus mucilaginosus (XXXX spectra): Ramanome dataset of the strain Bacillus mucilaginosus, which contains XXXX spectra.

Folder Enterobacter ludwigii (XXXX spectra): Ramanome dataset of the strain Enterobacter ludwigii, which contains XXXX spectra.

For the spectral data files (i.e. the .txt files), the first column represents the wavelength, and the second column represents the spectral intensity at the corresponding wavelength.
description: ARC inoculant is a brand-new inoculant with coupling function that enhances legume quality and nitrogen fixation. A comprehensive characterization of its key functional strains is critical for establishing a quality-control framework for the inoculant’s formulation. Here, by employing Ramanome technology, we constructed a characteristic spectral dataset comprising over 63,000 single-cell Raman spectra of the constituent strains. Among the six machine learning-based predictive models developed and compared for the constituent strains, the Linear Discriminant Analysis (LDA) model demonstrated the best performance, with a classification accuracy exceeding 92.4%. This work provides a unique spectral fingerprint for the ARC inoculant and will directly aid its application in sustainable agricultural production.
DOI: 10.5281/zenodo.18263925
title: Characterization of the main strains of the ARC inoculant via machine learning-assisted single‐cell Raman spectroscopy

description: Description of the data and file structure

* Ramanome dataset of the ARC inoculant, first edited by Jie Kang  on January 16, 2026.

File: Ramanome_dataset_of_the_ARC_inoculant_-Kang-_2025.zip

Description: 

Folder Batch 1~4: Generally, for each strain (i.e. Bacillus amyloliquefaciens, Brevibacillus laterosporu, Bacillus mucilaginosus, Enterobacter ludwigii), over 5,000 spectra were collected per batch, with a total of three independent batches measured (i.e. Batch 1~3) to minimize acquisition errors. In total, we constructed a single-cell Raman spectral dataset comprising over 63,000 spectra for the four strains. One more independent validation dataset for the four strains (i.e. Batch 4) was collected using the same methodology to assess  model performance. 

Folder Bacillus amyloliquefaciens (XXXX spectra): Ramanome dataset of the strain Bacillus amyloliquefaciens, which contains XXXX spectra.

Folder Brevibacillus laterosporu (XXXX spectra): Ramanome dataset of the strain Brevibacillus laterosporu, which contains XXXX spectra.

Folder Bacillus mucilaginosus (XXXX spectra): Ramanome dataset of the strain Bacillus mucilaginosus, which contains XXXX spectra.

Folder Enterobacter ludwigii (XXXX spectra): Ramanome dataset of the strain Enterobacter ludwigii, which contains XXXX spectra.

For the spectral data files (i.e. the .txt files), the first column represents the wavelength, and the second column represents the spectral intensity at the corresponding wavelength.
description: ARC inoculant is a brand-new inoculant with coupling function that enhances legume quality and nitrogen fixation. A comprehensive characterization of its key functional strains is critical for establishing a quality-control framework for the inoculant’s formulation. Here, by employing Ramanome technology, we constructed a characteristic spectral dataset comprising over 63,000 single-cell Raman spectra of the constituent strains. Among the six machine learning-based predictive models developed and compared for the constituent strains, the Linear Discriminant Analysis (LDA) model demonstrated the best performance, with a classification accuracy exceeding 92.4%. This work provides a unique spectral fingerprint for the ARC inoculant and will directly aid its application in sustainable agricultural production.
DOI: 10.15468/dl.dkuzwm
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya distichophylla asymmetrica"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013376-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14513989
title: 🇰🇭🐼 Cambodian Cities Food Panda Resto Reviews
DOI: 10.21979/n9/wcsxmt
title: Replication Data for: Two Causally Related Needles in a Video Haystack

description: Causal2Needles is a benchmark dataset and evaluation toolkit designed to assess the capabilities of both proprietary and open-source multimodal large language models in long-video understanding. It features a large number of "2-needle" questions, where the model must locate and reason over two distinct pieces of information from the video.
DOI: 10.5281/zenodo.17607137
title: Defects4REST Replication Package Artifact (ICSE 2026)

description: This artifacte contains the code and data to replicate the results presented in the paper titled Defects4REST: A Benchmark of Real-World Defects to Enable Controlled Testing and Debugging Studies for REST APIs. in Proceedings of the 48th International Conference on Software Engineering (ICSE), 2026 by Rahil P. Mehta, Pushpak Kathkhede, and Manish Motwani. 

The artrifact is organized in terms of the three research questions addressed in the paper:

RQ1: Common REST API Defect Types: This involves code and data related to mining issues from GitHub projects (issue mining), classfying issues into REST-API defects and non-REST API defects (issue classification), and deriving defect taxonomy (clustering and topic modeling).

RQ2: File Types Modified and Time to Resolve REST API Defects: This involves the code and data to analyze the file types of developer-modified files to fix the REST API defects (patch file analysis), and the time it took developers to fix these defects (time to fix analysis).

RQ3: Evaluating Current REST API Testing Tools Against Real-World Defects: This involves code and data to execute and analyze the results of four REST API testing techniques (EvoMaster, Schemathesis,RESTler, and AutoRestTest) on a 30-defect subset of Defects4REST.
DOI: 10.5281/zenodo.18262693
title: Defects4REST Replication Package Artifact (ICSE 2026)

description: This artifacte contains the code and data to replicate the results presented in the paper titled Defects4REST: A Benchmark of Real-World Defects to Enable Controlled Testing and Debugging Studies for REST APIs. in Proceedings of the 48th International Conference on Software Engineering (ICSE), 2026 by Rahil P. Mehta, Pushpak Kathkhede, and Manish Motwani. 

The artrifact is organized in terms of the three research questions addressed in the paper:

RQ1: Common REST API Defect Types: This involves code and data related to mining issues from GitHub projects (issue mining), classfying issues into REST-API defects and non-REST API defects (issue classification), and deriving defect taxonomy (clustering and topic modeling).

RQ2: File Types Modified and Time to Resolve REST API Defects: This involves the code and data to analyze the file types of developer-modified files to fix the REST API defects (patch file analysis), and the time it took developers to fix these defects (time to fix analysis).

RQ3: Evaluating Current REST API Testing Tools Against Real-World Defects: This involves code and data to execute and analyze the results of four REST API testing techniques (EvoMaster, Schemathesis,RESTler, and AutoRestTest) on a 30-defect subset of Defects4REST.
DOI: 10.15468/dl.2ya75t
title: Occurrence Download

description: A dataset containing 6473964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chloris chloris",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 6473964 records from 4670 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013347-260108223611665/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.cc2cjh9q
title: CCDC 2190593: Experimental Crystal Structure Determination

description: Related Article: Ya Yin, Shijia Feng, Xinyu Xu, Yifan Liu, Youcong Li, Lei Gao, Xiaocheng Zhou, Jiahao Dong, Yulun Wu, Jian Su, Jing-Lin Zuo, Shuai Yuan, Jia Zhu|2025|J.Am.Chem.Soc.|147|16481|doi:10.1021/jacs.5c02940
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.cc2hcp7t
title: CCDC 2305136: Experimental Crystal Structure Determination

description: Related Article: Xing-Zhen Wang, Xu-Dong Hu, Wen-Bo Liu|2025|Org.Lett.|27|5020|doi:10.1021/acs.orglett.5c01380
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.22ys9s
title: Occurrence Download

description: A dataset containing 928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Fossil)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spilogale putorius (Linnaeus, 1758)"
 ]
}

 The dataset includes 928 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000663-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x7tb6
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Specimen)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Potamochoerus porcus (Linnaeus, 1758)"
 ]
}

 The dataset includes 199 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000664-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71569/r6mr-gk98
title: DESTIEM

description: Tratamiento de 6 especies bellotas por 4 especies de roedores y sus destinos finales.
DOI: 10.5281/zenodo.15554699
title: Anhang zur Masterarbeit: Die Doppelte Exposition in Klavierkonzerten des 19. Jahrhunderts: ein Auslaufmodell? Statistische Betrachtungen zur Entwicklung der Kopfsatzform

description: Dieses Repositorium enthält die Forschungsdaten sowie das Codebuch zur Masterarbeit "Die Doppelte Exposition in Klavierkonzerten des 19. Jahrhunderts: ein Auslaufmodell? Statistische Betrachtungen zur Entwicklung der Kopfsatzform", Juni 2025

Die Daten liegen im CSV-Format vor und umfassen Informationen zu den analysierten Klavierkonzerten. Der Datensatz besteht aus zwei zentralen Tabellen:





Konzerttabelle: enthält alle erfassten Werke (Fälle) sowie die zugehörigen Metadaten, etwa Komponist, Titel, Entstehungsjahr, Tonart und weitere beschreibende Angaben.




Analystabelle: beinhaltet die systematisch erhobenen Kodierungen der Forschungsvariablen, die der statistischen Auswertung zugrunde liegen. Die Variablen sind im Codebuch beschrieben.



 

CSV-Dateien (Comma-Separated Values) sind einfache Textdateien, in denen Daten in tabellarischer Form gespeichert sind. Die Spalten werden durch ein bestimmtes Trennzeichen – den sogenannten Delimiter – voneinander getrennt. In diesem Fall ist der Delimiter auf ein Komma (",") eingestellt.

Die Tabellen können mit Microsoft Excel geöffnet und angezeigt werden. Dazu müssen die Dateien über den Reiter "Daten" → "Aus Text/CSV" importiert werden.
DOI: 10.5281/zenodo.15554700
title: Anhang zur Masterarbeit: Die Doppelte Exposition in Klavierkonzerten des 19. Jahrhunderts: ein Auslaufmodell? Statistische Betrachtungen zur Entwicklung der Kopfsatzform

description: Dieses Repositorium enthält die Forschungsdaten sowie das Codebuch zur Masterarbeit "Die Doppelte Exposition in Klavierkonzerten des 19. Jahrhunderts: ein Auslaufmodell? Statistische Betrachtungen zur Entwicklung der Kopfsatzform", Juni 2025

Die Daten liegen im CSV-Format vor und umfassen Informationen zu den analysierten Klavierkonzerten. Der Datensatz besteht aus zwei zentralen Tabellen:





Konzerttabelle: enthält alle erfassten Werke (Fälle) sowie die zugehörigen Metadaten, etwa Komponist, Titel, Entstehungsjahr, Tonart und weitere beschreibende Angaben.




Analystabelle: beinhaltet die systematisch erhobenen Kodierungen der Forschungsvariablen, die der statistischen Auswertung zugrunde liegen. Die Variablen sind im Codebuch beschrieben.



 

CSV-Dateien (Comma-Separated Values) sind einfache Textdateien, in denen Daten in tabellarischer Form gespeichert sind. Die Spalten werden durch ein bestimmtes Trennzeichen – den sogenannten Delimiter – voneinander getrennt. In diesem Fall ist der Delimiter auf ein Komma (",") eingestellt.

Die Tabellen können mit Microsoft Excel geöffnet und angezeigt werden. Dazu müssen die Dateien über den Reiter "Daten" → "Aus Text/CSV" importiert werden.
DOI: 10.5284/1132553
title: Digital Archive from a Community Archaeology Excavation at Richmond Castle, Richmond, North Yorkshire, July-August 2021

description: This collection comprises images, site records, reports, and GIS data from a community-led excavation at Richmond Castle, Richmond, North Yorkshire. The Richmond Castle Community Excavation Project was a partnership project undertaken jointly between Solstice Heritage, the Celebrate Richmond 950 Project Steering Group, and English Heritage in July and August 2021. This project focused on illuminating specific unstudied, or poorly understood, aspects of the historical development of Richmond Castle.
DOI: 10.15468/dl.aserst
title: Occurrence Download

description: A dataset listing the 3626 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset's 3626 records were derived from 414 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012249-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmt4dv
title: Occurrence Download

description: A dataset containing 12639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Reynoutria japonica Houtt.",
 "Year 1990-2021"
 ]
}

 The dataset includes 12639 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012254-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15172990
title: Image and other data for PRX submission by M. Heydari et al.

description: Data measured and used to create the figures in the manuscript by M. Heydari et al.
DOI: 10.5281/zenodo.15172991
title: Image and other data for PRX submission by M. Heydari et al.

description: Data measured and used to create the figures in the manuscript by M. Heydari et al.
DOI: 10.5517/ccdc.csd.cc2jxbh9
title: CCDC 2350931: Experimental Crystal Structure Determination

description: Related Article: Vladimir P. Zaytsev, Daria N. Simakova, Viktoria S. Maslova, Valentina V. Ilyushenkova, Roman A. Novikov, Mikhail S. Grigoriev, Roman D. Danilov, Roman Litvinov, Irina A. Kolesnik, Vladimir I. Potkin, Fedor I. Zubkov|2025|Org.Biomol.Chem.|23|3925|doi:10.1039/D5OB00040H
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.cc2jxbjb
title: CCDC 2350932: Experimental Crystal Structure Determination

description: Related Article: Vladimir P. Zaytsev, Daria N. Simakova, Viktoria S. Maslova, Valentina V. Ilyushenkova, Roman A. Novikov, Mikhail S. Grigoriev, Roman D. Danilov, Roman Litvinov, Irina A. Kolesnik, Vladimir I. Potkin, Fedor I. Zubkov|2025|Org.Biomol.Chem.|23|3925|doi:10.1039/D5OB00040H
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.m6kf52
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Sightings Map of Invasive Plants in Portugal, Observation.org, Nature data from around the World, Biodiversity4all Research-Grade Observations)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 16e26fb0-7f13-4ae2-b57c-2543f451f5b3, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, e3aa237e-53c8-4c46-93ef-77a18bb9c80e)",
 "TaxonKey is Acacia saligna (Labill.) H.L.Wendl.",
 "Year 2019-2024"
 ]
}

 The dataset's 1 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011234-250415084134356/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.cc2jxbkc
title: CCDC 2350933: Experimental Crystal Structure Determination

description: Related Article: Vladimir P. Zaytsev, Daria N. Simakova, Viktoria S. Maslova, Valentina V. Ilyushenkova, Roman A. Novikov, Mikhail S. Grigoriev, Roman D. Danilov, Roman Litvinov, Irina A. Kolesnik, Vladimir I. Potkin, Fedor I. Zubkov|2025|Org.Biomol.Chem.|23|3925|doi:10.1039/D5OB00040H
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.cc2jxbld
title: CCDC 2350934: Experimental Crystal Structure Determination

description: Related Article: Vladimir P. Zaytsev, Daria N. Simakova, Viktoria S. Maslova, Valentina V. Ilyushenkova, Roman A. Novikov, Mikhail S. Grigoriev, Roman D. Danilov, Roman Litvinov, Irina A. Kolesnik, Vladimir I. Potkin, Fedor I. Zubkov|2025|Org.Biomol.Chem.|23|3925|doi:10.1039/D5OB00040H
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.cc2jxbmf
title: CCDC 2350935: Experimental Crystal Structure Determination

description: Related Article: Vladimir P. Zaytsev, Daria N. Simakova, Viktoria S. Maslova, Valentina V. Ilyushenkova, Roman A. Novikov, Mikhail S. Grigoriev, Roman D. Danilov, Roman Litvinov, Irina A. Kolesnik, Vladimir I. Potkin, Fedor I. Zubkov|2025|Org.Biomol.Chem.|23|3925|doi:10.1039/D5OB00040H
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: 10.25345/c52b8vq7r
title: MassIVE MSV000098043 - Solanum melongena roots (Iron deficiency in hydroponics)
title: Root extracts from Solanum melongena (cv. Listda de Gandia), 35 d old. Last 9 d in pH 5.5 half Hoagland with either 0 (0Fe) or 45 microM Fe(III)-EDTA (Control). 8 replicates per treatment, 1 Qc per treatment (a pool of the 8 samples of each treatment) and 1 Qc all samples (a pool of all samples).
DOI: 10.5281/zenodo.15535192
title: Labels for evaluation
DOI: 10.5281/zenodo.15535193
title: Labels for evaluation
DOI: 10.5281/zenodo.15537596
title: Labels for evaluation
DOI: 10.5281/zenodo.15553132
title: Labels for evaluation
DOI: 10.34740/kaggle/dsv/12006008
title: Peer-to-Peer Boliviano (BOB) Exchange Data