cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc1j8kq2
title: CCDC 1408414: Experimental Crystal Structure Determination

description: Related Article: Min-Xia Yao, Xing-Yun Lu, Zhao-Xia Zhu, Xiao-Wei Deng, Su Jing|2015|New J.Chem.|39|8356|doi:10.1039/C5NJ01708D
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/cc1jkzhk
title: CCDC 1417459: Experimental Crystal Structure Determination

description: Related Article: Manuel Kapitein, Markus Balmer, Carsten von Hänisch|2016|Phosphorus,Sulfur,Silicon,Relat.Elem.|191|641|doi:10.1080/10426507.2015.1128925
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/cc1j8kr3
title: CCDC 1408415: Experimental Crystal Structure Determination

description: Related Article: Min-Xia Yao, Xing-Yun Lu, Zhao-Xia Zhu, Xiao-Wei Deng, Su Jing|2015|New J.Chem.|39|8356|doi:10.1039/C5NJ01708D
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/cc1jkzjl
title: CCDC 1417460: Experimental Crystal Structure Determination

description: Related Article: F. Vazart, P. Savel, C. Latouche, V. Barone, F. Camerel, T. Roisnel, J.-L. Fillaut, H. Akdas-Kilig, M. Achard|2016|Dalton Trans.|45|6566|doi:10.1039/C6DT00593D
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/cc1jkzkm
title: CCDC 1417461: Experimental Crystal Structure Determination

description: Related Article: F. Vazart, P. Savel, C. Latouche, V. Barone, F. Camerel, T. Roisnel, J.-L. Fillaut, H. Akdas-Kilig, M. Achard|2016|Dalton Trans.|45|6566|doi:10.1039/C6DT00593D
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/cc1jl0rw
title: CCDC 1417498: Experimental Crystal Structure Determination

description: Related Article: Yu-Ci Xu, Yu Chen, Xu Li, Qi Yang, Jin-Lin Zhang, Hui-Ling Xu, Xiao-Shan Zeng, Xi-Chi Wang, Dong-Rong Xiao|2015|Inorg.Chem.Commun.|61|64|doi:10.1016/j.inoche.2015.08.021
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/cc1jkzln
title: CCDC 1417462: Experimental Crystal Structure Determination

description: Related Article: F. Vazart, P. Savel, C. Latouche, V. Barone, F. Camerel, T. Roisnel, J.-L. Fillaut, H. Akdas-Kilig, M. Achard|2016|Dalton Trans.|45|6566|doi:10.1039/C6DT00593D
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.cc127cnb
title: CCDC 990191: Experimental Crystal Structure Determination

description: Related Article: Pinki Saha, Jnan Prakash Naskar, Arnab Bhattacharya, Rakesh Ganguly, Baptu Saha and Shubhamoy Chowdhury|2016|J.Coord.Chem.|69|303|doi:10.1080/00958972.2015.1113268
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/cc1jl09f
title: CCDC 1417484: Experimental Crystal Structure Determination

description: Related Article: F. Vazart, P. Savel, C. Latouche, V. Barone, F. Camerel, T. Roisnel, J.-L. Fillaut, H. Akdas-Kilig, M. Achard|2016|Dalton Trans.|45|6566|doi:10.1039/C6DT00593D
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/cc1jl0ns
title: CCDC 1417495: Experimental Crystal Structure Determination

description: Related Article: Yu-Ci Xu, Yu Chen, Xu Li, Qi Yang, Jin-Lin Zhang, Hui-Ling Xu, Xiao-Shan Zeng, Xi-Chi Wang, Dong-Rong Xiao|2015|Inorg.Chem.Commun.|61|64|doi:10.1016/j.inoche.2015.08.021
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.p5hjks
title: Occurrence Download

description: A dataset containing 4891317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alismatales",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Specimen"
 ]
 }
 },
 "Year is greater than or equal to 1950",
 "CoordinateUncertaintyInMeters is less than or equal to 20000"
 ]
}

 The dataset includes 4891317 records from 2676 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052335-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttacg8
title: Occurrence Download

description: A dataset containing 67067 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Culex quinquefasciatus Say, 1823"
 ]
}

 The dataset includes 67067 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000699-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kufyzw
title: Occurrence Download

description: A dataset containing 64877 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aedes aegypti (Linnaeus, 1762)"
 ]
}

 The dataset includes 64877 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000696-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/krw6ckvcnj.1
title: Centres of species richness, neoendemism, and paleoendemism for marine fishes occur in different regions of Aotearoa New Zealand

description: We examined the historical biogeography of marine fish biodiversity in the 0-500 m depth layer in Aotearoa New Zealand and adjacent areas of the Southwest Pacific using taxonomic and phylogenetic metrics. We built checklists of taxa occurring in our focal depth zone using open-access repositories, and generated distribution maps with AquaMaps for 313 taxa that have phylogenetic data as they are included in the most up-to-date molecular phylogeny for New Zealand's actinopterygians. Here, we present the results for five datasets that differ on five occurrence probabilities selected from AquaMaps. Using the Biodiverse software to compute biodiversity metrics, we found that spatial patterns of richness and endemism differ. We propose evolutionary hypotheses to explain our results.
DOI: 10.17632/krw6ckvcnj.2
title: Centres of species richness, neoendemism, and paleoendemism for marine fishes occur in different regions of Aotearoa New Zealand

description: We examined the historical biogeography of marine fish biodiversity in the 0-500 m depth layer in Aotearoa New Zealand and adjacent areas of the Southwest Pacific using taxonomic and phylogenetic metrics. We built checklists of taxa occurring in our focal depth zone using open-access repositories, and generated distribution maps with AquaMaps for 313 taxa that have phylogenetic data as they are included in the most up-to-date molecular phylogeny for New Zealand's actinopterygians. Here, we present the results for five datasets that differ on five occurrence probabilities selected from AquaMaps. Using the Biodiverse software to compute biodiversity metrics, we found that spatial patterns of richness and endemism differ. We propose evolutionary hypotheses to explain our results.
DOI: 10.17632/krw6ckvcnj.3
title: Centres of species richness, neoendemism, and paleoendemism for marine fishes occur in different regions of Aotearoa New Zealand

description: We examined the historical biogeography of marine fish biodiversity in the 0-500 m depth layer in Aotearoa New Zealand and adjacent areas of the Southwest Pacific using taxonomic and phylogenetic metrics. We built checklists of taxa occurring in our focal depth zone using open-access repositories, and generated distribution maps with AquaMaps for 313 taxa that have phylogenetic data as they are included in the most up-to-date molecular phylogeny for New Zealand's actinopterygians. Here, we present the results for five datasets that differ on five occurrence probabilities selected from AquaMaps. Using the Biodiverse software to compute biodiversity metrics, we found that spatial patterns of richness and endemism differ. We propose evolutionary hypotheses to explain our results.
DOI: 10.17632/5jgdhms82b.1
title: Table of review Paper information

description: Table of reviewed Paper information, such as methods and calculations, models and years of publication
DOI: 10.15468/dl.ma3qsw
title: Occurrence Download

description: A dataset containing 2620 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Montecincla cachinnans (Jerdon, 1839)"
 ]
}

 The dataset includes 2620 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000704-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x6rpc5nzzm.1
title: CAIR-BGD-2025: Annotated Dataset for Bottle Gourd Disease & Growth Stages

description: This dataset is a comprehensive resource for researchers and professionals in agriculture, machine learning, and computer vision. It is designed to enhance the detection and classification of bottle gourd plant diseases and growth stages using AI-driven solutions.

The dataset was collected from bottle gourd fields in Charpolisha, Jamalpur, between December 2024 and February 2025, under the supervision of an agricultural expert. The data collection process was supported by the Cognitive AI & Informatics Research Lab (CAIR Lab), ensuring high-quality image acquisition and precise annotation.

Dataset Structure
The dataset is divided into two primary categories:

A. Bottle Gourd Disease Dataset
This section contains images illustrating various disease conditions affecting bottle gourd plants, ensuring detailed classification and analysis.

Anthracnose
Downy Mildew
Pest Infestation
Nutrient Deficiency
Dry Leaf Disorder
Healthy Leaf
📌 Original Dataset: 1,639 high-resolution images (.jpg)
📌 Augmented Dataset: 9,000 enhanced images

B. Bottle Gourd Growth Stage Dataset
This section captures key developmental stages of bottle gourd plants, assisting in growth monitoring and yield assessment.

Flower
Immature Gourd
Mature Gourd
📌 Original Dataset: 442 high-resolution images (.jpg)
📌 Augmented Dataset: 4,500 enhanced images

Significance
This dataset plays a crucial role in advancing AI-driven agricultural research by enabling:

✅ Early and accurate disease detection in bottle gourd plants
✅ Automated crop monitoring for enhanced yield prediction
✅ Sustainable farming practices through precision agriculture

This dataset offers well-structured, annotated images, making it a valuable tool for developing computer vision-based solutions in bottle gourd plant health assessment and crop management.
DOI: 10.15468/dl.ugn7qy
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sarcocapnos crassifolia subsp. speciosa (Boiss.) Rouy)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 49 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000709-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jrbhgcphj3.1
title: CORPUS OF PUBLIC DISCOURSE ON IMMIGRATION IN THE UNITED STATES NEWSPAPERS

description: The data was collected from five major American newspapers: USA Today, New York Post, New York Daily News, The New York Times, and Washington Post, known for their broad circulation and readership in the United States. Up to three articles concerning immigration will be analyzed from each newspaper, based on the categories defined by Bach and Harnish (1979): ‘Constatives’, ‘Directives’, ‘Commissives’, and ‘Acknowledgements,’ which serve as the foundation for examining the types of illocutionary acts in this research. The corpus attached will be used to analyze and understand elements of migration narratives that have emerged in the public discourse to shape a clear viewpoint.
DOI: 10.17632/jrbhgcphj3.2
title: CORPUS ANALYSIS OF PUBLIC DISCOURSE ON IMMIGRATION IN THE UNITED STATES NEWSPAPERS

description: The data was collected from five major American newspapers: USA Today, New York Post, New York Daily News, The New York Times, and Washington Post, known for their broad circulation and readership in the United States. Up to three articles concerning immigration will be analyzed from each newspaper, based on the categories defined by Bach and Harnish (1979): ‘Constatives’, ‘Directives’, ‘Commissives’, and ‘Acknowledgements,’ which serve as the foundation for examining the types of illocutionary acts in this research. The corpus attached will be used to analyze and understand elements of migration narratives that have emerged in the public discourse to shape a clear viewpoint.
DOI: 10.15468/dl.ft55yg
title: Occurrence Download

description: A dataset containing 127197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aedes albopictus (Skuse, 1894)"
 ]
}

 The dataset includes 127197 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000702-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z336kxgf98.1
title: "Stem cell" supplements on Amazon.com (2024-2025)

description: "Stem cell" supplements on Amazon.com coded for marketing themes
DOI: 10.17632/nykrzdm74f.1
title: Attain

description: An inclusive pavement distress dataset containing 2,293 images of 19,761 distress-type instances taken with smartphone cameras mounted on a vehicle's front and rear windshields. This dataset comprises images of ten different pavement distress types, including longitudinal and transverse cracks (linear cracks), alligator cracks, block cracks, weathering, lane/shoulder drop-off, raveling, patching and utility cuts, manholes, faded markings, and potholes. The Attain dataset's images have been manually annotated for object detection and classification purposes and can be used to train machine learning and deep learning models to detect and classify pavement distresses.
DOI: 10.17632/t2ykb6sjgw.1
title: Lipidomics data Isthmin1

description: WT vs KO: Untargeted lipidomic profiling on livers of Wildtype and Adipocyte specific Isthmin1 knockout mice to determine the specific lipid species regulated by adipose-derived Ism1 after 6 weeks on the MASLD diet. 
Saline vs FXR and Saline vs ISM: WT mice with established MASLD were dosed I.P. daily with either vehicle, 5 mg/kg Ism1, or GW4064 FXR agonist at 30 mg/kg for 2 weeks.
DOI: 10.17632/3t6xygny2f.1
title: Wildlife Crime Kenya Dataset

description: This data is from Eyes in the Courtroom Project, a partnership between WildlifeDirect and the Judiciary Training Institute, collected from one hundred and thirteen (113) magistrate court stations administered by the Judiciary of Kenya between the months of January and February 2020 (Kahumbu et al., 2018). It contains all criminal cases registered from 1st of January 2018 and 31st December 2019 and extracted 1099 wildlife crime court cases relating to 2,025 persons charged for various wildlife crime offences.
DOI: 10.17632/5nfjzntwd8.1
title: Banana and Banana Leaf Dataset for Classification and Disease Detection

description: This dataset is curated to support research in the classification and detection of banana and banana leaf conditions, focusing on identifying diseases affecting banana crops. The dataset is suitable for machine learning tasks like image classification and computer vision applications. It comprises both raw and augmented data for a diverse set of banana-related categories, including healthy and diseased leaves and fruits.

#Raw Data:
 Healthy Banana Leaf: 1,256 images
 Black Leaf Streak: 63 images
 Panama Disease: 56 images
 Banana Scab Moth: 20 images
 Black Sigatoka: 170 images
 Good Banana: 56 images
 Black Pitting/Banana Rust: 788 images
 Crown Rot: 57 images
 Fungal Disease: 565 images
#Augmented Data:
 Healthy Banana Leaf: 6,258 images
 Black Leaf Streak: 315 images
 Panama Disease: 280 images
 Banana Scab Moth: 100 images
 Black Sigatoka: 850 images
 Good Banana: 172 images
 Black Pitting/Banana Rust: 3,965 images
 Crown Rot: 285 images
 Fungal Disease: 2,825 images

#This dataset aims to facilitate the development of machine learning models for banana disease detection, promote biodiversity studies, and support education on plant health. It provides valuable insights for agricultural experts and farmers to identify diseases early for better crop management.
DOI: 10.17632/5nfjzntwd8.2
title: Banana and Banana Leaf Dataset for Classification and Disease Detection

description: This dataset is curated to support research in banana crop health, focusing on the classification and detection of diseases affecting banana leaves and fruits. It is designed for machine learning and deep learning applications, including image classification and computer vision-based disease diagnosis.

★Dataset Overview:
The dataset includes both raw and augmented images across various categories, covering healthy and diseased banana leaves and fruits. The diseases featured include Anthracnose, Banana Fruit-Scarring Beetle, Banana Skipper Damage, Banana Split Peel, Black and Yellow Sigatoka , Chewing insect damage on banana leaf, Healthy Banana, Healthy Banana leaf and Panama Wilt Disease.

★Composition:
Raw Data: 2375 images
Augmented Data: 9513 images

★Applications:
This dataset is valuable for:

*Machine Learning & AI Research – Training models for automated disease detection.

*Agricultural Studies – Assisting researchers in understanding banana crop health.

*Farmers & Agricultural Experts – Enabling early disease identification for better crop management.

By providing a comprehensive collection of banana and banana leaf conditions, this dataset serves as an essential resource for advancing smart agriculture and precision farming techniques. This dataset isn't just for researchers; it’s also a valuable tool for farmers and agricultural specialists who want to identify diseases early and take action to protect their crops. By using this data, we can work towards smarter farming, healthier plants, and better food security.
DOI: 10.17632/dt49cmnc6n.1
title: CHEK cruise ship article simulation variables

description: This file includes the main input variables for ship energy system simulations in development project CHEK cruise ship. Project CHEK was an EU-funded joint-industry development project between years 2021-2024 and it focused on decarbonisation of long distance shipping with various technologies and alternative fuels. In the cruise ship case the future fuel studied was hydrogen. The context of this dataset is presented in an article "Holistic view to decarbonising cruise ships with a combination of energy saving technologies and hydrogen as fuel".