cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27yz4b
title: CCDC 2084382: Experimental Crystal Structure Determination

description: Related Article: Frederick Jacobus Francois Jacobs, Eleanor Fourie, Emmanuel Mfotie Njoya, Tshepiso J. Makhafola, Alice Brink|2026|J.Mol.Struct.|1355||doi:10.1016/j.molstruc.2025.144973
description: Related Article: Francois Jacobs, Alice Brink|2022|CSD Communication|||
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.cc27yz5c
title: CCDC 2084383: Experimental Crystal Structure Determination

description: Related Article: Frederick Jacobus Francois Jacobs, Eleanor Fourie, Emmanuel Mfotie Njoya, Tshepiso J. Makhafola, Alice Brink|2026|J.Mol.Struct.|1355||doi:10.1016/j.molstruc.2025.144973
description: Related Article: Francois Jacobs, Alice Brink|2022|CSD Communication|||
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.cc27yz9h
title: CCDC 2084387: Experimental Crystal Structure Determination

description: Related Article: Frederick Jacobus Francois Jacobs, Eleanor Fourie, Emmanuel Mfotie Njoya, Tshepiso J. Makhafola, Alice Brink|2026|J.Mol.Struct.|1355||doi:10.1016/j.molstruc.2025.144973
description: Related Article: Francois Jacobs, Alice Brink|2022|CSD Communication|||
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.cc2lxq19
title: CCDC 2410871: Experimental Crystal Structure Determination

description: Related Article: Aminah A. Almarshad, Paul G. Waddell, Casey Dixon, Aaron Campbell, Roly Armstrong, Dmitry I. Levshov, Wouter Herrebout, Thomas J Penfold, Dominic J. Black, Robert Pal, Santi de la Moya, Julian G. Knight, Michael J. Hall|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-t9zsp
description: Related Article: Aminah A. Almarshad, Paul G. Waddell, Casey Dixon, Aaron D.G. Campbell, Roly J. Armstrong, Dmitry I. Levshov, Wouter A. Herrebout, Thomas J. Penfold, Dominic J. Black, Robert Pal, Santiago de la Moya, Julian G. Knight, Michael J. Hall|2025|Dyes Pigm.|247|113494|doi:10.1016/j.dyepig.2025.113494
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.d2xgbd
title: Occurrence Download

description: A dataset containing 3616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Country is United States of America",
 "TaxonKey is one of (Rana chiricahuensis, Rana fisheri, Rana pipiens fisheri, Lithobates chiricahuensis, Lithobates fisheri)"
 ]
}

 The dataset includes 3616 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051501-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8hbws
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Agrilus smaragdifrons"
 ]
}

 The dataset includes 46 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051502-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30878147
title: <b>Dataset for The Neural Scout: A Mathematical Analysis of Football Player Movements using AI</b>

description: Summary:This dataset presents raw and processed telemetry data developed to train "The Neural Scout," a mathematical model for analyzing football player movements. The data were collected to validate the hypothesis regarding the predictive accuracy of AI models applied to the Iraqi Premier League. This dataset is of significant interest to researchers in sports analytics, computer vision, and applied mathematics.<b>Data Content:</b> The repository is organized as follows:<b>Raw Data (</b><code><strong>.csv</strong></code><b>/</b><code><strong>.xlsx</strong></code><b>):</b> Event-based measurements including passes, tackles, shots, and goals.<b>Processed Data:</b> Normalized datasets refined for algorithmic input.<b>Model Output:</b> Analytical results generated by the mathematical model, specifically focusing on spatial trajectory analysis (comparing <code>X_Start</code> to <code>Y_Start</code> coordinates).<b>Visual Documentation:</b> An image illustrating the analytical setup and data validation process.<b>Methodology:</b> Data acquisition was performed using <b>KINEXON PERFORM GPS Pro</b>, <b>Veo</b>, and <b>Nacsport</b> software under controlled competitive conditions. A proprietary Neural Network architecture (The Neural Scout) was applied to the dataset to predict and optimize player performance outcomes.
DOI: 10.6084/m9.figshare.30878147.v1
title: <b>Dataset for The Neural Scout: A Mathematical Analysis of Football Player Movements using AI</b>

description: Summary:This dataset presents raw and processed telemetry data developed to train "The Neural Scout," a mathematical model for analyzing football player movements. The data were collected to validate the hypothesis regarding the predictive accuracy of AI models applied to the Iraqi Premier League. This dataset is of significant interest to researchers in sports analytics, computer vision, and applied mathematics.<b>Data Content:</b> The repository is organized as follows:<b>Raw Data (</b><code><strong>.csv</strong></code><b>/</b><code><strong>.xlsx</strong></code><b>):</b> Event-based measurements including passes, tackles, shots, and goals.<b>Processed Data:</b> Normalized datasets refined for algorithmic input.<b>Model Output:</b> Analytical results generated by the mathematical model, specifically focusing on spatial trajectory analysis (comparing <code>X_Start</code> to <code>Y_Start</code> coordinates).<b>Visual Documentation:</b> An image illustrating the analytical setup and data validation process.<b>Methodology:</b> Data acquisition was performed using <b>KINEXON PERFORM GPS Pro</b>, <b>Veo</b>, and <b>Nacsport</b> software under controlled competitive conditions. A proprietary Neural Network architecture (The Neural Scout) was applied to the dataset to predict and optimize player performance outcomes.
DOI: 10.15468/dl.gty9rw
title: Occurrence Download

description: A dataset containing 1634 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sternbergia colchiciflora"
 ]
}

 The dataset includes 1634 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051504-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.ut5n9j1y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.p83p99
title: Occurrence Download

description: A dataset containing 1063825 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is a41250f0-7c3e-11d8-a19c-b8a03c50a862"
 ]
}

 The dataset includes 1063825 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051503-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4smx59
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atelopus mindoensis"
 ]
}

 The dataset includes 201 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051505-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30878171
title: Survey responses

description: The research is grounded in empirical data from a targeted social survey, identifying key trends in the themes and content preferences of youth literature, contextualized within the broader technological era. Findings reveal a strong correlation between the media landscape’s rapid evolution and the degree of Kazakh language usage in digital communication channels. The study underscores a significant transition toward digital reading among young people, with notable implications for language policy and digital content strategies aimed at fostering the presence of the Kazakh language in new media.
DOI: 10.6084/m9.figshare.30878171.v1
title: Survey responses

description: The research is grounded in empirical data from a targeted social survey, identifying key trends in the themes and content preferences of youth literature, contextualized within the broader technological era. Findings reveal a strong correlation between the media landscape’s rapid evolution and the degree of Kazakh language usage in digital communication channels. The study underscores a significant transition toward digital reading among young people, with notable implications for language policy and digital content strategies aimed at fostering the presence of the Kazakh language in new media.
DOI: 10.15468/dl.wjz9s8
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "GadmGid is BEL.3.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Reynoutria japonica",
 "Year 2025-2025"
 ]
}

 The dataset includes 200 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051506-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zr7r6
title: Occurrence Download

description: A dataset containing 609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "GadmGid is BEL.3.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Reynoutria japonica",
 "Year 2023-2025"
 ]
}

 The dataset includes 609 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051507-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17560034
title: Enhancing Solar Power Forecasting Accuracy Using HMPCS and Machine Learning Techniques: An Applied Study

description: This dataset contains simulated input data, parameter settings, source code, and experimental results supporting the article“Enhancing Solar Power Forecasting Accuracy Using HMPCS and Machine Learning Techniques: An Applied Study” (F1000Research, Article ID: 172121).

The data were synthetically generated through computational modeling to evaluate and validate the proposed Hybrid Metaheuristic and Machine Learning (HMPCS–ML) framework for solar power forecasting.No real-world or confidential data were used in this study.

Specifically, the dataset includes:• Simulated meteorological and irradiance variables (GHI, temperature, humidity, wind speed, etc.) used for training and testing.• Configuration files and parameter values used in the hybrid optimization algorithm.• Source code implementing the HMPCS–ML model for forecasting and optimization.• Numerical results, including MAE, RMSE, and R² metrics, as well as convergence statistics.• Supporting data used to generate all figures and tables presented in the manuscript.

All files are provided in open formats (CSV, TXT, XLSX, PY) to ensure full reproducibility and transparency.The dataset is distributed under the Creative Commons Attribution (CC BY 4.0) license, allowing reuse and adaptation with proper citation.

Keywords: Solar Power, Forecasting, Machine Learning, HMPCS, Metaheuristics, Optimization, Renewable Energy, Open Data.

 



This dataset was uploaded by the corresponding author and academic supervisor in accordance with the postgraduate regulations of the University of Baghdad. All listed creators are manuscript authors and approved the data release.
DOI: 10.5281/zenodo.17780947
title: Enhancing Solar Power Forecasting Accuracy Using HMPCS and Machine Learning Techniques: An Applied Study

description: This dataset contains simulated input data, parameter settings, source code, and experimental results supporting the article“Enhancing Solar Power Forecasting Accuracy Using HMPCS and Machine Learning Techniques: An Applied Study” (F1000Research, Article ID: 172121).

The data were synthetically generated through computational modeling to evaluate and validate the proposed Hybrid Metaheuristic and Machine Learning (HMPCS–ML) framework for solar power forecasting.No real-world or confidential data were used in this study.

Specifically, the dataset includes:• Simulated meteorological and irradiance variables (GHI, temperature, humidity, wind speed, etc.) used for training and testing.• Configuration files and parameter values used in the hybrid optimization algorithm.• Source code implementing the HMPCS–ML model for forecasting and optimization.• Numerical results, including MAE, RMSE, and R² metrics, as well as convergence statistics.• Supporting data used to generate all figures and tables presented in the manuscript.

All files are provided in open formats (CSV, TXT, XLSX, PY) to ensure full reproducibility and transparency.The dataset is distributed under the Creative Commons Attribution (CC BY 4.0) license, allowing reuse and adaptation with proper citation.

Keywords: Solar Power, Forecasting, Machine Learning, HMPCS, Metaheuristics, Optimization, Renewable Energy, Open Data.

 



This dataset was uploaded by the corresponding author and academic supervisor in accordance with the postgraduate regulations of the University of Baghdad. All listed creators are manuscript authors and approved the data release.
DOI: 10.15468/dl.wmakwk
title: Occurrence Download

description: A dataset containing 610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lantana camara",
 "Year 2023-2025"
 ]
}

 The dataset includes 610 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051508-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esevc9
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lantana camara",
 "Year 2010-2012"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051509-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4a4up
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Atelopus mindoensis"
 ]
}

 The dataset includes 156 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051510-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3qnqj
title: Occurrence Download

description: A dataset containing 684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "TaxonKey is one of (Rana chiricahuensis, Rana fisheri, Rana pipiens fisheri, Lithobates chiricahuensis, Lithobates fisheri)"
 ]
}

 The dataset includes 684 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051511-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17924396
title: Questionnaire and Data for Organizational cybersecurity and its impact on organizational immunity.An analytical study at the Ministry of Education Iraq .General Directorate of Educational Planning.

description: This record contains the questionnaire and underlying data used in the study on Organizational cybersecurity and its impact on organizational immunity-An analytical study at the Ministry of Education Iraq/ General Directorate of Educational Planning.
DOI: 10.5281/zenodo.17924397
title: Questionnaire and Data for Organizational cybersecurity and its impact on organizational immunity.An analytical study at the Ministry of Education Iraq .General Directorate of Educational Planning.

description: This record contains the questionnaire and underlying data used in the study on Organizational cybersecurity and its impact on organizational immunity-An analytical study at the Ministry of Education Iraq/ General Directorate of Educational Planning.
DOI: 10.15468/dl.za6wmw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Aburria cujubi, Accipiter poliogaster, Accipiter striatus, Accipiter bicolor, Actitis macularis, Aegolius harrisii, Agamia agami, Agelaioides badius, Agelasticus cyanopus, Alectrurus tricolor, Alipiopsitta xanthops, Alopochelidon fucata, Amaurolimnas concolor, Amaurospiza moesta, Amazona aestiva, Amazona amazonica, Amazonetta brasiliensis, Ammodramus humeralis, Ammodramus aurifrons, Anabacerthia lichtensteini, Anas bahamensis, Anhima cornuta, Anhinga anhinga, Anodorhynchus hyacinthinus, Anthracothorax nigricollis, Antilophia galeata, Antrostomus rufus, Anumbius annumbi, Aphantochroa cirrochloris, Ara ararauna, Ara macao, Ara chloropterus, Aramides ypecaha, Aramides cajaneus, Aramus guarauna, Aratinga auricapillus, Aratinga jandaya, Ardea alba, Ardea cocoi, Arremon taciturnus)",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation",
 "Country is Brazil"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051513-251120083545085/datasets/export for details.
DOI: 10.15468/dl.g7r5yx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Casiornis fuscus, Cathartes aura, Cathartes burrovianus, Catharus fuscescens, Celeus obrieni, Celeus ochraceus, Celeus flavus, Celeus flavescens, Cercomacra ferdinandi, Certhiaxis cinnamomeus, Chaetura meridionalis, Charadrius collaris, Charitospiza eucosma, Chelidoptera tenebrosa, Chiroxiphia pareola, Chloroceryle aenea, Chloroceryle inda, Chloroceryle americana, Chloroceryle amazona, Chlorostilbon lucidus, Chlorestes notata, Chondrohierax uncinatus, Chordeiles minor, Chordeiles acutipennis, Chrysolampis mosquitus, Chrysomus ruficapillus, Ciconia maguari, Circus buffoni, Cissopis leverianus, Cistothorus platensis, Claravis pretiosa, Clibanornis rectirostris, Cnemotriccus fuscatus, Coccycua minuta, Coccyzus melacoryphus, Coccyzus americanus, Coccyzus euleri, Cochlearius cochlearius, Coereba flaveola, Colaptes campestris)",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation",
 "Country is Brazil"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051515-251120083545085/datasets/export for details.
DOI: 10.15468/dl.u7csp8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Arremon flavirostris, Arundinicola leucocephala, Asio stygius, Asio clamator, Asio flammeus, Athene cunicularia, Attila phoenicurus, Attila bolivianus, Automolus leucophthalmus, Bartramia longicauda, Baryphthengus ruficapillus, Basileuterus culicivorus, Berlepschia rikeri, Botaurus pinnatus, Brachygalba lugubris, Brotogeris chiriri, Bubo virginianus, Bubulcus ibis, Busarellus nigricollis, Buteo albonotatus, Buteo nitidus, Buteo brachyurus, Butorides striata, Cacicus cela, Cacicus haemorrhous, Cairina moschata, Calidris himantopus, Calidris fuscicollis, Calidris melanotos, Calliphlox amethystina, Campephilus melanoleucos, Campephilus rubricollis, Camptostoma obsoletum, Campylopterus calcirupicola, Campylorhamphus trochilirostris, Cantorchilus leucotis, Capsiempis flaveola, Caracara plancus, Cariama cristata, Casiornis rufus)",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation",
 "Country is Brazil"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051514-251120083545085/datasets/export for details.
DOI: 10.15468/dl.9pvdks
title: Occurrence Download

description: A dataset containing 25587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcedo atthis",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2023-2024"
 ]
}

 The dataset includes 25587 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051512-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17924601
title: Inverted full deviatoric stress tensors in Zhang et al. 2024

description: The inverted full deviatoric stress tensors from both 12-block inversion and pixel inversion are uploaded here. The coordinate of the tensors is N-E-down. The result from 12-block inversion assumes a uniform stress before the 2019 Ridgecrest doublet and uses the slip model from Xu et al. (2020). The result from pixel inversion uses Xu et al. (2020)'s slip model as well. Locations of the pixels are uploaded together.

The new pixel inversion excludes early events in block 12 for consistency with the 12-block inversion. It does not change the results significantly.
DOI: 10.15468/dl.u54weh
title: Occurrence Download

description: A dataset containing 26928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Material sample, Material citation)",
 "TaxonKey is Coryphistera alaudina"
 ]
}

 The dataset includes 26928 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051516-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.25150.55364
title: Presentation-BALARAS_Climpact_56_KGH.pdf